International Journal of Innovative Technology and Exploring … · 2019-02-23 · International...

International Journal of Innovative

Technology and Exploring Engineering

ISSN : 2278 - 3075Website: www.ijitee.org

Volume-8 Issue-4S, FEBRUARY 2019

Published by: Blue Eyes Intelligence Engineering and Sciences Publication

Published by: Blue Eyes Intelligence Engineering and Sciences Publication

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Exploring Innovation

www.ijitee.org

IjItEeIjItEe

EXPLORING INNOVA

TION

Editor-In-Chief Chair Dr. Shiv Kumar

Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT), Senior Member of IEEE

Professor, Department of Computer Science & Engineering, Lakshmi Narain College of Technology Excellence (LNCTE), Bhopal

(M.P.), India

Associated Editor-In-Chief Chair Dr. Vinod Kumar Singh

Associate Professor and Head, Department of Electrical Engineering, S.R.Group of Institutions, Jhansi (U.P.), India

Associated Editor-In-Chief Members Dr. Hai Shanker Hota

Ph.D. (CSE), MCA, MSc (Mathematics)

Professor & Head, Department of CS, Bilaspur University, Bilaspur (C.G.), India

Dr. Gamal Abd El-Nasser Ahmed Mohamed Said

Ph.D(CSE), MS(CSE), BSc(EE)

Department of Computer and Information Technology , Port Training Institute, Arab Academy for Science ,Technology and Maritime

Transport, Egypt

Dr. Mayank Singh

PDF (Purs), Ph.D(CSE), ME(Software Engineering), BE(CSE), SMACM, MIEEE, LMCSI, SMIACSIT

Department of Electrical, Electronic and Computer Engineering, School of Engineering, Howard College, University of KwaZulu-

Natal, Durban, South Africa.

Scientific Editors Prof. (Dr.) Hamid Saremi

Vice Chancellor of Islamic Azad University of Iran, Quchan Branch, Quchan-Iran

Dr. Moinuddin Sarker

Vice President of Research & Development, Head of Science Team, Natural State Research, Inc., 37 Brown House Road (2nd Floor)

Stamford, USA.

Dr. Shanmugha Priya. Pon

Principal, Department of Commerce and Management, St. Joseph College of Management and Finance, Makambako, Tanzania, East

Africa, Tanzania

Dr. Veronica Mc Gowan

Associate Professor, Department of Computer and Business Information Systems,Delaware Valley College, Doylestown, PA, Allman,

China.

Dr. Fadiya Samson Oluwaseun

Assistant Professor, Girne American University, as a Lecturer & International Admission Officer (African Region) Girne, Northern

Cyprus, Turkey.

Dr. Robert Brian Smith

International Development Assistance Consultant, Department of AEC Consultants Pty Ltd, AEC Consultants Pty Ltd, Macquarie

Centre, North Ryde, New South Wales, Australia

Dr. Durgesh Mishra

Professor & Dean (R&D), Acropolis Institute of Technology, Indore (M.P.), India

Executive Editor Chair Dr. Deepak Garg

Professor & Head, Department Of Computer Science And Engineering, Bennett University, Times Group, Greater Noida (UP), India

Executive Editor Members Dr. Vahid Nourani

Professor, Faculty of Civil Engineering, University of Tabriz, Iran.

Dr. Saber Mohamed Abd-Allah

Associate Professor, Department of Biochemistry, Shanghai Institute of Biochemistry and Cell Biology, Shanghai, China.

Dr. Xiaoguang Yue

Associate Professor, Department of Computer and Information, Southwest Forestry University, Kunming (Yunnan), China.

Dr. Labib Francis Gergis Rofaiel

Associate Professor, Department of Digital Communications and Electronics, Misr Academy for Engineering and Technology,

Mansoura, Egypt.

Dr. Hugo A.F.A. Santos

ICES, Institute for Computational Engineering and Sciences, The University of Texas, Austin, USA.

Dr. Sunandan Bhunia

Associate Professor & Head, Department of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia

(Bengal), India.

Dr. Awatif Mohammed Ali Elsiddieg

Assistant Professor, Department of Mathematics, Faculty of Science and Humatarian Studies, Elnielain University, Khartoum Sudan,

Saudi Arabia.

Technical Program Committee Chair Dr. Mohd. Nazri Ismail

Associate Professor, Department of System and Networking, University of Kuala (UniKL), Kuala Lumpur, Malaysia.

Technical Program Committee Members Dr. Haw Su Cheng

Faculty of Information Technology, Multimedia University (MMU), Jalan Multimedia (Cyberjaya), Malaysia.

Dr. Hasan. A. M Al Dabbas

Chairperson, Vice Dean Faculty of Engineering, Department of Mechanical Engineering, Philadelphia University, Amman, Jordan.

Dr. Gabil Adilov

Professor, Department of Mathematics, Akdeniz University, Konyaaltı/Antalya, Turkey.

Dr. Ch.V. Raghavendran

Professor, Department of Computer Science & Engineering, Ideal College of Arts and Sciences Kakinada (Andhra Pradesh), India.

Dr. Thanhtrung Dang

Associate Professor & Vice-Dean, Department of Vehicle and Energy Engineeering, HCMC University of Technology and Education,

Hochiminh, Vietnam.

Dr. Wilson Udo Udofia

Associate Professor, Department of Technical Education, State College of Education, Afaha Nsit, Akwa Ibom, Nigeria.

Convener Chair Mr. Jitendra Kumar Sen

Blue Eyes Intelligence Engineering & Sciences Publication, Bhopal(M.P.), India

Editorial Chair Dr. Sameh Ghanem Salem Zaghloul

Department of Radar, Military Technical College, Cairo Governorate, Egypt.

Editorial Members Dr. Uma Shanker

Professor, Department of Mathematics, Muzafferpur Institute of Technology, Muzafferpur(Bihar), India

Dr. Rama Shanker

Professor & Head, Department of Statistics, Eritrea Institute of Technology, Asmara, Eritrea

Dr. Vinita Kumar

Department of Physics, Dr. D. Ram D A V Public School, Danapur, Patna(Bihar), India

Dr. Brijesh Singh

Senior Yoga Expert and Head, Department of Yoga, Samutakarsha Academy of Yoga, Music & Holistic Living, Prahladnagar,

Ahmedabad (Gujarat), India.

Dr. J. Gladson Maria Britto

Professor, Department of Computer Science & Engineering, Malla Reddy College of Engineering, Secunderabad (Telangana), India.

Dr. Sunil Tekale

Professor, Dean Academics, Department of Computer Science & Engineering, Malla Reddy College of Engineering, Secunderabad

(Telangana), India.

S.

No

Volume-8 Issue-4s, February 2019, ISSN: 2278-3075 (Online)

Published By: Blue Eyes Intelligence Engineering & Sciences Publication

Page

No.

1.

Authors: Dewi Purnama Sari, Nur Ali, M. Asad Abdurrahman

Paper

Title: A Model Study of the Routine Maintenance of Primary Arterial Roads in Makassar City

Abstract: Road maintenance here is the activity of maintaining, repairing, adding or replacing existing physical

buildings so that their functions can still be maintained or improved for a longer time.The growth of road length which

tends to be constant from year to year also causes the level of saturation of several main roads in Makassar City to

increase.In this work, the authors have conducted a model study of the Routine Maintenance of Primary Arterial Roads in

Makassar City. This work was focused on primary arterial roads in the city of Makassar consisting of 12 roads. In this

study, data analysis was performed using analysis regression. Key result showed that the wide road variable and road

average daily traffic / ADT affect the magnitude of the routine maintenance budget for the following year.

Keywords: ADT, Road maintenance, Routine maintenance, Regression analysis.

References: 1. Fan, S., & Chan-Kang, C. (2005). Road development, economic growth, and poverty reduction in China (Vol. 12). Intl Food Policy Res Inst.

2. Mabogunje, A. (2015). The development process: A spatial perspective. Routledge

3. Saodang, H. (2004). KonstruksiJalan Raya. Bandung: Penerbit Nova.

4. Lucas, K. (2011). Making the connections between transport disadvantage and the social exclusion of low income populations in the Tshwane

Region of South Africa. Journal of Transport Geography, 19(6), 1320-1334.

5. PresidenRepublik Indonesia. 2004. Undang-Undang RI No.38 Tahun 2004 TentangJalan. Jakarta

6. Schnebele, E., Tanyu, B. F., Cervone, G., & Waters, N. (2015). Review of remote sensing methodologies for pavement management and

assessment. European Transport Research Review, 7(2), 7.

7. Langevin, A. (2016, December). Quantitative approaches for road maintenance. In Proceedings of the Seventh Symposium on Information and

Communication Technology (pp. 6-6). ACM.

8. Siswanto, H., Pranoto, P., Prihatditya, R. P., &Rahmawati, Y. (2017, November). Identification of District Road Deterioration and Maintenance

Type Using PermenPU NO. 13/PRT/M/2011 and SK NO. 77/KPTS/DB/1990 (Case Study in District Of Malang and Tulungagung). In Prosiding

SENTRA (Seminar TeknologidanRekayasa) (No. 3).

9. Fellows, R. F., & Liu, A. M. (2015). Research methods for construction. John Wiley & Sons

10. Harrison, F., & Lock, D. (2017). Advanced project management: a structured approach. Routledge.

1-4

2.

Authors: Ria Rezki Ramadhani Bahar, Sumarni Hamid Aly, Arwin Amiruddin

Paper

Title:

Relationship Analysis of Road Facilities to Motorbike Emissions for CO and CO2 Parameters in Arterial Road

Section in Makassar City

Abstract: Makassar is the capital of South Sulawesi province which serves as a center of trade, services, transportation

and industry activities, making the city of Makassar a city with a large density that causes air pollution. This study aims

to describe the characteristics of emission quantity to the distance traveled in the arterial road of Makassar City. This

research was conducted in 4 arterial road segments in Makassar city with road type 2/1 UD, 4/1 UD, 4/2 D, and 6/2 UD at

peak time period. The required data are the characteristics of motorcycle emissions, mileage and travel time, as well as

road facilities. Measurement of light vehicle emissions using Gas Analyzer Portable Measurement System connected to

vehicle exhaust tool in mobile condition Measurement data analysis using Microsoft Office Excel. The analysis is done

by interpolating the data of motorcycle emission distribution to cumulative data of vehicle emission frequency, so it can

be seen in the speed change segmentation which is done by visually observing the formed graph. The result of the

research shows that there is a change visually to the relationship between mileage, travel time and emission quantity as

well as the difference of variance level of distribution of motorcycle emission and emission average value every time

interval of the test between track, time period and road type.

Keywords: Air pollution, Air quality, Gas analyzer, Vehicle emissions.

References: 1. Costanza, R., Fisher, B., Ali, S., Beer, C., Bond, L., Boumans, R., ... & Gayer, D. E. (2007). Quality of life: An approach integrating

opportunities, human needs, and subjective well-being. Ecological economics, 61(2-3), 267-276.

2. Monks, P. S., Granier, C., Fuzzi, S., Stohl, A., Williams, M. L., Akimoto, H., ... & Blake, N. (2009). Atmospheric composition change–

3. global and regional air quality. Atmospheric environment, 43(33), 5268-5350.

4. Greyson, J. C. (1990). Carbon, nitrogen, and sulfur pollutants and their determination in air and water. CRC Press.

5. Baukal Jr, C. E. (Ed.). (2003). Industrial combustion pollution and control. CRC Press

6. Mishra, Pramod Chandra. Fundamentals of air and water pollution. APH Publishing, 2008.

7. Koren, H., & Bisesi, M. S. (2016). Handbook of Environmental Health, Volume II: Pollutant Interactions in Air, Water, and Soil. CRC Press.

8. Chandrappa, R., & Kulshrestha, U. C. (2015). Sustainable air pollution management: theory and practice. Springer.

9. Sharma, B. K. (2014). Environmental chemistry. Krishna Prakashan Media.

10. Pye, K. (2015). Aeolian dust and dust deposits. Elsevier.

11. Goudie, A. S. (2018). Human impact on the natural environment. John Wiley & Sons.

12. Hinds, J., & Sparks, P. (2011). The affective quality of human-natural environment relationships. Evolutionary Psychology, 9(3),

147470491100900314.

13. Joewono, T. B., & Kubota, H. (2007). User satisfaction with paratransit in competition with motorization in indonesia: anticipation of future

implications. Transportation, 34(3), 337-354.

5-8

3.

Authors: FemiliaPabimbin Salle, Sumarni Hamid Aly, Muhammad Isran Ramli

Paper

Title: Performance Analysis of Signalized Intersection Jl. Haji Bau-Jl. Penghibur-Jl. Rajawaliin Makassar

Abstract: The imbalance between the growths of the number of vehicles with road capacities makes this condition 9-12

create traffic especially at the junction area to become the traffic crosses into the peak hour. This study was conducted on

the unsignalized intersection Jalan Haji Bau-JalanPenghibur-JalanRajawali and this work focused on forming simulation

model parameters, intersection performance characteristics, and optimizing intersections. This research was conducted at

the intersection of Jalan Haji Bau-JalanPenghibur-JalanRajawali during working time which started at 06.00-18.00 Wita.

This study requires data of vehicle characteristics and road geometric. Survey method used for volume measurement and

for speed measurement using speed gun. The analytical method used to calculate the traffic performance of the

intersection in this study is the approach of the Vissim-based traffic micro-simulation model to calculate the intersection

performance by calibration using GEH Test on vehicle volume parameters and then validating the length of the vehicle

queue using Chi-Square test. Based on the simulation result that the calibration parameter of each time period is the same

and different like the vehicle safe distance parameter, the queue length and delay value at Jalan Haji Bau, Jalan,

Penghibur, and JalanRajawali are 138.78 m and 40 sec; 19.46m and 19 sec; 53.52 m and 18.95 sec. Furthermore, traffic

engineering efforts conducted with 2 types of alternative changes to a signal intersection where in this study the first

alternative condition is considered to produce better intersection performance than the existing conditions and the second

alternative.

Keywords: Chi-Square test, GEH, Signalized intersection, Simulation, Traffic.

References: 1. Small, K. A., Winston, C., & Evans, C. A. (2012). Road work: A new highway pricing and investment policy. Brookings Institution Press.

2. Lefèvre, S., Laugier, C., &Ibañez-Guzmán, J. (2012, June). Risk assessment at road intersections: Comparing intention and expectation.

In Intelligent Vehicles Symposium (IV), 2012 IEEE (pp. 165-171). IEEE.

3. Roncoli, C., Papageorgiou, M., &Papamichail, I. (2015). Traffic flow optimisation in presence of vehicle automation and communication

systems–Part II: Optimal control for multi-lane motorways. Transportation Research Part C: Emerging Technologies, 57, 260-275.

4. Guler, S. I., Menendez, M., & Meier, L. (2014). Using connected vehicle technology to improve the efficiency of intersections. Transportation

Research Part C: Emerging Technologies, 46, 121-131.

5. Anderson, M. L. (2014). Subways, strikes, and slowdowns: The impacts of public transit on traffic congestion. American Economic

Review, 104(9), 2763-96.

6. Litman, T. (2016). Smart congestion relief: Comprehensive analysis of traffic congestion costs and congestion reduction benefits.

7. Wang, S., Djahel, S., Zhang, Z., &McManis, J. (2016). Next road rerouting: A multiagent system for mitigating unexpected urban traffic

congestion. IEEE Transactions on Intelligent Transportation Systems, 17(10), 2888-2899.

8. Mahmassani, H. S., &Saberi, M. (2013). Urban network gridlock: Theory, characteristics, and dynamics. Procedia-Social and Behavioral

Sciences, 80, 79-98.

9. Surya, B. (2016). The processes analysis of urbanization, spatial articulation, social change and social capital difference in the dynamics of new

town development in the fringe area of Makassar City (case study: In Metro TanjungBunga Area, Makassar City). Procedia-Social and

Behavioral Sciences, 227, 216-231.

10. Daraba, D., Cahaya, A., Guntur, M., &Akib, H. (2018). Strategy of Governance in Transportation Policy Implementation: Case Study of Bus

Rapid Transit (BRT) Program in Makassar City. Academy of Strategic Management Journal.

4.

Authors: Altafakur La Ode, Lawalenna Samang, IsranRamli

Paper

Title:

Analysis of the Priority of the Improvement of the Provincial Road Status in Mamminasata Region at South

Sulawesi Based on Analytic Hierarchy Process

Abstract: This research aimed to determine the priority in the improvement of the road status based on the technical

criteria as the determination basis of the improvement of the road status in Makassar City. This research used the Expert

Choice 9 software with three criteria, namely the speed, the volume capacity ratio and the rising pull which had passed

the cut off process. The selection of the respondents in AHP was carried out with the interviews through questionnaires

with 21 people in the government institution called the Highway Construction and Maintenance Service of South

Sulawesi Province. The research result indicated that in Makassar city, the roads given priority were Hertasning Road

(32%), Aroepala Road (31%), Paccerekkang Road (17%),Kapasa Raya Road (12%), and Panampu Road (8%). The

priority for the status improvement of road sections in Makassar city tended to be on the seizures and pull criteria rather

than volume capacity ratio and speeds.

Keywords: Expert Choice 9 software, Road status.

References: 1. SanaeiNejad, S. H. (2006, March). Using GIS for Priority Assessment of Road construction in Kermanshah Province. In Map Middle East 2006.

2. Student, D., Lantai, G. L. I., TAMIN, O. Z., SJAFRUDDIN, A., & SANTOSO, I. (2005). Determination Priority Of Road Improvement

Alternatives Based On Region Optimization Case Study: Bandung City Indonesia. In Proceedings of the Eastern Asia Society for Transportation

Studies (Vol. 5, pp. 1040-1049).

3. COMPARES, T. F. (2003). Measuring transportation: traffic, mobility and accessibility. ITE journal, 73(10), 28-52.

4. Suryadinata, L., Arifin, E. N., &Ananta, A. (2003). Indonesia's population: Ethnicity and religion in a changing political landscape (No. 1).

Institute of Southeast Asian Studies.

5. Hill, H., Resosudarmo, B. P., &Vidyattama*, Y. (2008). Indonesia's changing economic geography. Bulletin of Indonesian Economic

Studies, 44(3), 407-435.

6. Giap, T. K., Nurina, M., &Mulya, A. (2015). 2014 Annual Competitiveness Analysis and Development Strategies for Indonesian Provinces.

World Scientific.

7. Firman, T. (2016). Demographic patterns of Indonesia’s urbanization, 2000–2010: continuity and change at the macro level. In Contemporary

demographic transformations in China, India and Indonesia (pp. 255-269). Springer, Cham.

8. Salusu, J., Tahir, H., &Makkulau, A. (2015). DEVELOPMENT STRATEGY FOR URBAN AREAS MAMMINASATA IN SOUTH

SULAWESI. International Journal of Academic Research, 7.

9. Ibrahim, M. A. (2016). The State-Centric Model of Transportation Policy in Mamminasata Areas, South Sulawesi. Bisnis & Birokrasi, 23(1), 55.

10. Pratiwi, F. R., Khusaini, M., &Susilo, S. (2016). Shift Sector Analysis of Economy in Mamminasata Region. International Journal of Social and

Local Economic Governance, 2(2), 103-108.

13-17

5. Authors: IrwanRidwan Rahim, Suharman Hamzah, Irmawaty

Paper

Title: Construction Material Waste Management on Building Development Projects in Makassar City

Abstract: To overcome the problems caused by material waste, a method is needed to minimize the emergence of

material waste, so that the implementation of a project can increase profits in terms of time, cost and environmental

quality improvement. Thus, in this work, construction material waste management on building development projects in

Makassar city was done. The objective of this work is to analyze the type of waste material that is dominant in building

projects, analyze the dominant factors that cause waste material to occur in building projects, analyze ways to minimize

waste material and handle waste material in building projects. Results showed that for construction of a building project

in Makassar for consumable materials, volume of iron, light brick and ceramics occupy the highest order with a volume

of around 6-10%.

Keywords: Building development, Construction, Material waste, Waste management.

References: 1. Grimsey, D., & Lewis, M. (2007). Public private partnerships: The worldwide revolution in infrastructure provision and project finance. Edward

Elgar Publishing.

2. Brunner, P. H., &Rechberger, H. (2016). Handbook of material flow analysis: For environmental, resource, and waste engineers. CRC press.

3. Ervianto, W. I. (2004).

4. TeoriAplikasiManajemenProyekKonstruksi. Andi Yogyakarta.

5. Oko John, A., & Emmanuel Itodo, D. (2013). Professionals’ views of material wastage on construction sites and cost overruns. Organization,

technology & management in construction: an international journal, 5(1), 747-757.

6. Intan, S., Alifen, R. S., &Arijanto, L. S. (2005). ANALISA DAN EVALUASI SISA MATERIAL KONSTRUKSI SUMBER PENYEBAB

KUANTITAS DAN BIAYA. Civil Engineering Dimension, 7(1), 36-45.

7. Nagapan, S., Rahman, I. A., Asmi, A., Memon, A. H., &Zin, R. M. (2012). Identifying causes of construction waste–case of Central

8. Region of Peninsula Malaysia. International Journal of Integrated Engineering, 4(2).

9. Yeheyis, M., Hewage, K., Alam, M. S., Eskicioglu, C., &Sadiq, R. (2013). An overview of construction and demolition waste management in

Canada: a lifecycle analysis approach to sustainability. Clean Technologies and Environmental Policy, 15(1), 81-91.

10. Hoornweg, D., &Bhada-Tata, P. (2012). What a waste: a global review of solid waste management.

11. Shen, L. Y., Tam, V. W. Y., Tam, C. M., & Ho, S. (2000). Material wastage in construction activities—a Hong Kong survey. In Proceedings of

the first CIB-W107 international conference—creating a sustainable construction industry in developing countries (pp. 125-31).

12. Hanafi, J., Kristina, H. J., Jobiliong, E., Christiani, A., Halim, A. V., Santoso, D., &Melini, E. (2011). The prospects of managing WEEE in

Indonesia. In Glocalized Solutions for Sustainability in Manufacturing (pp. 492-496). Springer, Berlin, Heidelberg.

13. Willar, D. (2012). Improving quality management system implementation in Indonesian construction companies(Doctoral dissertation,

Queensland University of Technology).

14. Swasto, D. F. (2018). Vertical Living Opportunities and Challenges for Low-income People in Southeast Asia Case of Indonesia. KnE Social

Sciences, 3(5), 130-147.

18-20

6.

Authors: Aria Syamsu Rizal, M. Isran Ramli, Mubassirang Pasra

Paper

Title: Model Selection of Seller Travel Modeat Traditional Market in Makassar City

Abstract: The large number of sellers in traditional markets will result in a significant amount of movement and

traffic volume around the market. Based on this, the authors consider that it is necessary to analyze the model of

traditional market seller travel mode in the traditional markets. The traditional markets that are the target of the research

are the NiagaDaya Market, Terong, Panampu, Maricaya and Pa'baeng-baeng. These markets are used as objects of

research because they represent the other markets. The time of the research was carried out in the market operating hours

in the morning until evening (7.30-16.00) for 7 days. The key results have shown that, respondents adhere to the three

modes of transport (motorcycles, public transportation and cars). The average probability value for the overall mode

selection of traditional markets is for shop owner respondents who have a tendency to choose motorbike mode of

83.65%, 14.96% for choosing car mode and 1.39% for choosing public transportation mode.

Keywords: Seller travel, Traditional markets, Traffic volume, Transport.

References: 1. Rushton, A., Croucher, P., & Baker, P. (2014). The handbook of logistics and distribution management: Understanding the supply chain. Kogan

Page Publishers.

2. Carmona, M., Heath, T., Oc, T., &Tiesdell, S. (2012). Public places-Urban spaces. Routledge.

3. Phillips, D. L. (2014). Looking backward: A critical appraisal of communitarian thought (Vol. 269). Princeton University Press.

4. St-Louis, E., Manaugh, K., van Lierop, D., & El-Geneidy, A. (2014). The happy commuter: a comparison of commuter satisfaction across

modes. Transportation research part F: traffic psychology and behaviour, 26, 160-170.

5. Beirão, G., & Cabral, J. S. (2007). Understanding attitudes towards public transport and private car: A qualitative study. Transport policy, 14(6),

478-489.

6. Redman, L., Friman, M., Gärling, T., &Hartig, T. (2013). Quality attributes of public transport that attract car users: A research review. Transport

Policy, 25, 119-127.

7. Button, K. (2010). Transport economics. Edward Elgar Publishing.

8. Hoornweg, D., &Bhada-Tata, P. (2012). What a waste: a global review of solid waste management.

9. Travisi, C. M., Camagni, R., &Nijkamp, P. (2010). Impacts of urban sprawl and commuting: a modelling study for Italy. Journal of Transport

Geography, 18(3), 382-392.

10. Aragon, L. V. (2013). Development strategies, religious relations, and communal violence in Central Sulawesi, Indonesia: A cautionary tale.

In Development strategies, identities, and conflict in Asia (pp. 153-182). Palgrave Macmillan, New York.

11. Vickers, A. (2013). A history of modern Indonesia. Cambridge University Press.

12. Razdan, R., Das, M., &Sohoni, A. (2013). The evolving Indonesian consumer. McKinsey & Company.

21-24

7.

Authors: Sumartini, Lawalenna Samang, Muhammad IsranRamli

Paper

Title: Structure Modelling of Traffic Movement at Housing Area in Makassar

Abstract: Modelling of traffic movement at housing area represent the important model in transportation planning,

because of housing area has potency as awaken of big traffic movement, so it is very encumbering of road that make

congestion and traffic jam in road way. This research has aimed to determine factors that influence of traffic movement

and set the structural model traffic movement at housing area. The area of this research is located in

BumiTamalanreaPermai (BTP) Makassar. Variable that predict as the influenced at the movement such as accessibility,

infrastructure and trip characteristic. Data are gotten by questionnaire and interview with respondent. Data is analyzed

with Structural Equation Modelling (SEM). The result of the research is the factors that make traffic movement are

amount of family (0.72), amount of working family member (0.50), and income (0.44). The structure modeling that set in

this housing area is infrastructure that give directly influence but not significant with accessibility (0.03), trip

characteristic don’t have directly influence with accessibility, buth have directly influence and significant with movement

(0.25), and accessibility have influence with movement (0.60).

Keywords: Modelling SEM, Traffic movement, Transportation.

References: 1. Cohen, B. (2006). Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability. Technology in

society, 28(1-2), 63-80.

2. Rodrigue, J. P., Comtois, C., & Slack, B. (2009). The geography of transport systems. Routledge.

3. Watson, V. (2009). Seeing from the South: Refocusing urban planning on the globe’s central urban issues. Urban Studies, 46(11), 2259-2275.

4. Falk, N. (2011). Masterplanning and infrastructure in new communities in Europe. Urban Design in the Real Estate Development Process, 34-53.

5. Balsas, C. J. (2003). Sustainable transportation planning on college campuses. Transport Policy, 10(1), 35-49.

6. Turner, S. (2013). Indonesia's small entrepreneurs: Trading on the margins. Routledge.

7. Jensen, O. B. (2009). Flows of meaning, cultures of movements–urban mobility as meaningful everyday life practice. Mobilities, 4(1), 139-158.

8. Amekudzi, A. A., Banerjee, T., Barringer, J., Cmapbell, S., Contant, C. K., Doyle, J. L. H., ...& Florida, R. (2012). Megaregions: Planning for

global competitiveness. Island Press.

9. Washington, S. P., Karlaftis, M. G., & Mannering, F. (2010). Statistical and econometric methods for transportation data analysis. Chapman and

Hall/CRC.

10. Urry, J. (2016). Mobilities: new perspectives on transport and society. Routledge.

11. Abdullah, S. (2016). Social Conflict Management through Multicultural Approach and Policy in Preventing and Overcoming the Social

Disintegration. TAWARIKH, 5(2).

12. Sugiyono, W. E. (2001). Statistikapenelitiandanaplikasinyadengan SPSS 10.0 for Windows. Bandung: Alfabeta.

13. Bartholomew, D. J., Steele, F., Galbraith, J., &Moustaki, I. (2008). Analysis of multivariate social science data. Chapman and Hall/CRC.

25-28

8.

Authors: Rahmadi, Mary Selintung, M. Isran Ramli

Paper

Title:

Carbon Dioxide (CO2) Study Plan for the Development of Monorail in Makassar City Based on Life Cycle

Assessment (LCA)

Abstract: Air contamination has turned into a difficult issue in huge urban communities on the planet. Urban air

contamination has affects human wellbeing. The city of Makassar as a center for the development of strategic areas in

eastern Indonesia are tends to experience rapid growth in various fields including the transportation sector as a support

for community activities which are very important at this time. Thus in this work, assessment of the impact of Carbon

Dioxide (CO2) quantities resulting from the implementation of the development plan and operation of the Makassar City

Monorail with the Life Cycle Assessment (LCA) method was done. Findings showed that, for the implementation of

monorail operations, there will be a reduction in CO2 emissions resulting from the transfer of transport modes. In pre-

construction that has the impact of heavy equipment mobilization and labor mobilization, the preparatory work also

results in CO2 impacts.

Keywords: Carbon Dioxide, Life Cycle Assessment, Transportation.

References: 1. Brunekreef, B., & Holgate, S. T. (2002). Air pollution and health. The lancet, 360(9341), 1233-1242

2. Tzoulas, K., Korpela, K., Venn, S., Yli-Pelkonen, V., Kaźmierczak, A., Niemela, J., & James, P. (2007). Promoting ecosystem and human health

in urban areas using Green Infrastructure: A literature review. Landscape and urban planning, 81(3), 167-178.

3. Colvile, R. N., Hutchinson, E. J., Mindell, J. S., & Warren, R. F. (2001). The transport sector as a source of air pollution. Atmospheric

environment, 35(9), 1537-1565.

4. World Health Organization, & UNAIDS. (2006). Air quality guidelines: global update 2005. World Health Organization.

5. Hasan, M. H., Muzammil, W. K., Mahlia, T. M. I., Jannifar, A., &Hasanuddin, I. (2012). A review on the pattern of electricity generation and

emission in Indonesia from 1987 to 2009. Renewable and Sustainable Energy Reviews, 16(5), 3206-3219.

6. Carlson, K. M., Curran, L. M., Ratnasari, D., Pittman, A. M., Soares-Filho, B. S., Asner, G. P., ... & Rodrigues, H. O. (2012). Committed carbon

emissions, deforestation, and community land conversion from oil palm plantation expansion in West Kalimantan, Indonesia. Proceedings of the

National Academy of Sciences, 109(19), 7559-7564.

7. Busch, J., Lubowski, R. N., Godoy, F., Steininger, M., Yusuf, A. A., Austin, K., ...&Boltz, F. (2012). Structuring economic incentives to reduce

emissions from deforestation within Indonesia. Proceedings of the National Academy of Sciences, 109(4), 1062-1067.

8. Van Noordwijk, M., Agus, F., Dewi, S., &Purnomo, H. (2014). Reducing emissions from land use in Indonesia: motivation, policy instruments

and expected funding streams. Mitigation and Adaptation Strategies for Global Change, 19(6), 677-692.

9. Ginoga, K. L., Lugina, M., &Djaenudin, D. (2005).

10. Kajiankebijakanpengelolaanhutanlindung. JurnalPenelitianSosialdanEkonomiKehutanan, 2(2), 169-194.

11. Brauer, M., Freedman, G., Frostad, J., Van Donkelaar, A., Martin, R. V., Dentener, F., ...&Balakrishnan, K. (2015). Ambient air pollution

exposure estimation for the global burden of disease 2013. Environmental science & technology, 50(1), 79-88.

12. Santosa, S. J., Okuda, T., & Tanaka, S. (2008). Air pollution and urban air quality management in Indonesia. CLEAN–Soil, Air, Water, 36(5‐6),

466-475.

13. Tambunan, T. (2008). SME development, economic growth, and government intervention in a developing country: The Indonesian story. Journal

of international entrepreneurship, 6(4), 147-167.

14. Hustim, M. R., &Isran, M. (2013). The vehicle speed distribution on heterogeneous traffic: Space mean speed analysis of light vehicles and

motorcycles in makassar-indonesia. In Proceedings of the Eastern Asia Society for Transportation Studies (Vol. 9, pp. 599-610).

15. Aly, S. H., &Ramli, M. I. (2013). Running Vehicle Emission Factors of Passenger Cars in Makassar, Indonesia. In Proceeding of the 10th

29-32

Conference of the Eastern Asia Society for Transportation Studies (Vol. 9).

9.

Authors: Megawati, Rosmariani Arifuddin, M. Asad Abdurahman

Paper

Title:

Study of Influential Factors in Applying Occupational Health and Safety Management System on Construction

Project (Case Study: Vida View Makassar Apartment)

Abstract: Construction project is mostly reliable and troubled to accidents due to its requirement for heavy equipment.

Thus, the any process of it shall meet with the safety regulations. Judging from that, it is necessary to carry out an

analysis to acknowledge the most influence factors on the implementation of Occupational Health and Safety

Management System at construction works, which in this case at Vida View Apartment Makassar. The required data

consist of primary data that can be obtained directly through some questionnaires, the secondary data which is the

location of the construction project. The method used for this research is SEM (Structural Equation Modeling) method by

calculating the measurement of the outer model, inner model measurement by using SmartPLS application, and

descriptive analysis. From this research, it can be obtained the relation between Occupational safety and health

organization and the behavior and safety are as high as 3,148 and 0,152, operational to behavior and safety relation are as

high as 2,371 and 0,417, regulation to behavior and safety are 2,250 and 0,204, commitment and Occupational safety and

health policy to behavior and safety are as high as 2,115 and 2,367. These can be seen for the relation value < 1,96 which

shows an insignificant effect.

Keywords: Construction project, Occupational Health, Safety, SEM.

References: 1. Jafari, Y., Othman, J., &Nor, A. H. S. M. (2012). Energy consumption, economic growth and environmental pollutants in Indonesia. Journal of

Policy Modeling, 34(6), 879-889.

2. Pinto, A., Nunes, I. L., &Ribeiro, R. A. (2011). Occupational risk assessment in construction industry–Overview and reflection. Safety

science, 49(5), 616-624.

3. Hughes, P., &Ferrett, E. (2011). Introduction to health and safety at work: The handbook for the NEBOSH national general certificate. Routledge.

4. Manning, C., &Roesad, K. (2007). The Manpower Law of 2003 and its implementing regulations: Genesis, key articles and potential

impact. Bulletin of Indonesian Economical Studies, 43(1), 59-86.

5. Fung, I. W., Tam, V. W., Lo, T. Y., & Lu, L. L. (2010). Developing a risk assessment model for construction safety. International Journal of

Project Management, 28(6), 593-600.

6. Sears, S. K., Sears, G. A., Clough, R. H., Rounds, J. L., &Segner, R. O. (2015). Construction project management. John Wiley & Sons.

7. Takala, J., Hämäläinen, P., Saarela, K. L., Yun, L. Y., Manickam, K., Jin, T. W., ... & Lin, G. S. (2014). Global estimates of the burden of injury

and illness at work in 2012. Journal of occupational and environmental hygiene, 11(5), 326-337.

8. Latief, Y., Suraji, A., Nugroho, Y. S., &Arifuddin, R. (2011). The nature of fall accidents in construction projects: a case of

Indonesia. International Journal of Civil & Environmental Engineering, 11(05), 92-9.

9. Reason, J. (2016). Managing the risks of organizational accidents. Routledge.

10. Christina, W. Y., Djakfar, L., &Thoyib, A. (2012).

11. PengaruhBudayaKeselamatandanKesehatanKerja (K3)

12. terhadapkinerjaproyekkonstruksi. RekayasaSipil, 6(1), 83-95.

13. Hanafi, J., Kristina, H. J., Jobiliong, E., Christiani, A., Halim, A. V., Santoso, D., &Melini, E. (2011). The prospects of managing WEEE in

Indonesia. In Glocalized Solutions for Sustainability in Manufacturing (pp. 492-496). Springer, Berlin, Heidelberg.

14. Willar, D. (2012). Improving quality management system implementation in Indonesian construction companies(Doctoral dissertation, Queensland

University of Technology).

15. Swasto, D. F. (2018). Vertical Living Opportunities and Challenges for Low-income People in Southeast Asia Case of Indonesia. KnE Social

Sciences, 3(5), 130-147.

33-37

10.

Authors: IrwanRidwan Rahim, Suharman Hamzah, Irmawaty

Paper

Title:

Study of Passenger Vehicle Time Value and Public Transport in Takalar District

Based on Legit Model

Abstract: The role of public transport is very important in serving urban transportation and makes it easy for people

to carry out their activities in all different locations and spread in urban areas. Takalar Regency as one of the existing

districts d South Sulawesi Province became one of the centers of activity government, trade, education and socio-culture.

In this work, the characteristics of private transport users and public transport in Takalar Regency were analyzed. In this

study the method used in retrieval the data is the Stated Preference method. The results showed that distribution of

respondents who used public transport modes as many as 113 people with a composition of 17.70% male and 82.30%

female. There is a difference in the value of time between users of private transport such as cars and public transportation

due to users.

Keywords: Public transport, Time value, Urban areas.

References: 1. Lee, S. W., Song, D. W., &Ducruet, C. (2008). A tale of Asia’s world ports: the spatial evolution in global hub port cities. Geoforum, 39(1), 372-

385.

2. Rodrigue, J. P., Comtois, C., & Slack, B. (2009). The geography of transport systems. Routledge.

3. Pucher, J., Peng, Z. R., Mittal, N., Zhu, Y., &Korattyswaroopam, N. (2007). Urban transport trends and policies in China and India: impacts of

rapid economic growth. Transport reviews, 27(4), 379-410.

4. Susilo, Y. O., Santosa, W., Joewono, T. B., &Parikesit, D. (2007). A reflection of motorization and public transport in Jakarta metropolitan

area. IATSS research, 31(1), 59-68

5. Beirão, G., & Cabral, J. S. (2007). Understanding attitudes towards public transport and private car: A qualitative study. Transport policy, 14(6),

478-489.

6. Winaryo, D. E. (2002). PENAKSIRAN NILAI WAKTU UNTUK PENUMPANG KENDARAAN PRIBADI DI KOTA SEMARANG

(StudiKasus Jalan Majapahit—JalanSimpang Lima) (Doctoral dissertation, program Pascasarjana Universitas Diponegoro).

7. Lyons, G., &Urry, J. (2005). Travel time use in the information age. Transportation Research Part A: Policy and Practice, 39(2-3), 257-276.

8. Vuchic, V. R. (2017). Urban transit: operations, planning, and economics. John Wiley & Sons.

9. Aulia, D. N., & Ismail, A. M. (2013). Residential satisfaction of middle income population: Medan city. Procedia-Social and Behavioral

38-41

Sciences, 105, 674-683.

10. Maulana, H. I., Budiarto, W. C., Sulistio, H., &Kusumaningrum, R. (2014). Pengembangan Model PemilihanModaAntaraKendaraanPribadi Dan

Bus Trans Malang DenganMenggunakanMetode Stated Prerfernce (StudiKasusPada Kota Malang). Jurnal Mahasiswa Jurusan TeknikSipil, 1(3),

pp-956.

11. Rahman, Z. (2017). Analysis of the effect of economic growth toward the center of the overflow area and hinterlend in determining nodal centre

of new growth on the area of Mamminasata in South Sulawesi. Analysis, 2(1), 68-76.

11.

Authors: Rosmariani Arifuddin, Rusdi Usman Latif, Muhammad Harly Kalma

Paper

Title: Analysis the Cost Components of the Implementation SMK3 in Building Projects in the City of Makassar

Abstract: Implementation SMK3 of a project greatly affect against the performance of a construction company, then

budgeting for the SMK3 implementation very important to notice. This study aims to identify the cost components of K3

and analysing the costs allocated by construction companies in the city of Makassar. This research was conducted in the

city of Makassar by taking several building construction projects in Makassar as observation sample. The method used is

the questionnaire analysis and archives analysis, which consists of 30 people who work in the safety department. The data

analysis of the questionnaire was executed using SPSS. The archives analysis has done by comparing multiple archives of

RAB K3 from several building projects in the city of Makassar. This study had identified 14 dominant cost components

of K3 that significantly influence the performance improvement of Occupational Health and Safety (K3) in high rise

building construction projects in the city of Makassar.

Keywords: Construction project, Construction, Cost components, SMK3.

References: 1. M. M. Rahman, L. Bobadilla, A. Mostafavi, T. Carmenate and S. A. Zanlongo, "An Automated Methodology for Worker Path Generation and

Safety Assessment in Construction Projects," in IEEE Transactions on Automation Science and Engineering, vol. 15, no. 2, pp. 479-491, April

2018.

2. G. L. Amicucci and M. T. Settino, "Accidents with injuries or death during non-electrical work activities near overhead power lines," 2017 IEEE

International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe

(EEEIC / I&CPS Europe), Milan, 2017, pp. 1-6.

3. J. C. Cawley, "Electrical accidents in the mining industry, 1990-1999," Conference Record of the 2001 IEEE Industry Applications Conference.

36th IAS Annual Meeting (Cat. No.01CH37248), Chicago, IL, USA, 2001, pp. 1361-1368 vol.2.

4. King, R.W. and Hudson, R. (1985). “Construction Hazard and Safety Handbook: Safety.” Butterworths, England.

5. G. F. Burdge and H. L. Floyd, "Electrical Fatalities Reported by Federal OSHA for Calendar Year 2014 With Consideration of Design

Interventions," in IEEE Transactions on Industry Applications, vol. 52, no. 6, pp. 5271-5274, Nov.-Dec. 2016.

6. Suardi R., 2005. Sistem Manajemen Keselamatan dan Kesehatan Kerja.PPM, Jakarta

7. Silalahi, Bennet., & Rumondang Silalahi, (1995). Manajemen Keselamatan dan Kesehatan Kerja, Pustaka Binaman Pressindo, Jakarta.

8. T. Eckert, "Occupational hazards of the safety engineer," 2011 IEEE Symposium on Product Compliance Engineering Proceedings, San Diego,

CA, 2011, pp. 1-6.

9. S. Jamil, H. Landis Floyd and D. A. Pace, "Implementing electrical safety regulations and standards," in IEEE Industry Applications Magazine,

vol. 5, no. 1, pp. 16-21, Jan.-Feb. 1999.

10. Asiyanto, 1998. “Keselamatan dan kesehatan kerja yang efektif pada kegiatan Konstruksi”. Jakarta

11. Misnan, S.M., Yusof, Z., M., Mohammed, S.F., Othman, N. 2012. Safety Cost in Construction Project. The 3rd International Conference on

Construction Industry Padang-Indonesia, April 10-12th 2012.

42-45

12.

Authors: Megatri Serang, Rusdi Usman Latif, M. Asad Abdurrahman

Paper

Title: Comparative and Analysis of Top Down and Bottom Up Construction Methods

Abstract: Basement construction is done sequentially from the bottom to the top and this method known as bottom-up

construction method. The work began on the foundation work, excavation work then furthered to the manufacture of

columns, beams and plates are constantly up to the roof. Top-down construction method for basement construction is

another innovations approach rather than bottom up method. Howard Johnson Hotel with 18th floors located in the

middle of large city is considered in this study. The main contractor of the Howard Johnson Hotel project decided to

apply top-down construction method for the 2 levels of basement. This study compares the construction methods of

bottom-up and top-down in terms of time difference. The comparative analysis result indicated that the time requires for

top-down construction method is 49 days less than the bottom-up construction method.

Keywords: Bottom up, Top down, Construction method

References: 1. Suwarno, Perencanaan Basement GedungParkirApartementSkyland City Education Park – Bandung, Prosiding Seminar Nasional V TeknikSipil

2015, Seminar NasionalTeknikSipil V Tahun 2015 – UMS ISSN : 2459-9727 S-40

2. Wong, Raymond WM. "-The construction of deep and complex basements under extremely difficult urban environment—3 representing projects

in Hong Kong." Advances in Building Technology. 2002. 713-721.

3. F. Tao, Q. Shuwen and F. Guangxiu, "Innovative Design of Key Nodes in Construction of Top-Down Construction," 2015 8th International

Conference on Intelligent Computation Technology and Automation (ICICTA), Nanchang, 2015, pp. 490-493.

4. J. Ling, "Application of new Top-Down method in deep foundation," 2011 International Conference on Consumer Electronics, Communications

and Networks (CECNet),XianNing, 2011, pp. 2970-2973.

5. li Li, Chuang-hui Yuan, Jian Wu, "Key Design Points of Out-hung Hall Structure of China Art Gallery Station Constructed by Cut-and-cover

Top-down Method[J]", Tunnel Construction, vol. 12, pp. 1022-1028, 2013.

6. FirtiPrawidiawati, CahyonoBintangNurcahyo, JurnalTeknik ITS, Vol. 4, No. 1, (2015) ISSN: 2337-3539 (2301-9271 Print)

46-48

13.

Authors: Algifar, Muhammad Isran Ramli, Arifin Lipoeto

Paper

Title: Micro-Simulation Analysis of Traffic on Underpass Processing Plan at the Intersection of Mandai in Makassar

Abstract: The rapid growth of population in Makassar City directly increases the vehicles on road and causing traffic 49-53

congestion. The intersection of Mandai in Makassar City experience heavy traffic flow condition and Mandai Underpass

is developed. This study simulates and analyzes the condition of traffic flow at the Mandai intersection using the Mikro-

Simulasi technique which is Vissim software program. The peak hour season of traffic flow is considered in this study

which is morning (07.00–08.00), afternoon (12.00–13.00) and evening (16.00–17.00). The calibration and validation

process of the simulation model using the volume and length of the queue of vehicles in the field and GEH Test analysis

(Geoffrey E. Havers). The simulation model was successfully demonstrated and results pass the Chi-square test. The

result show that, Frontage Toll Road DR. Ir. Sutami has the longer queue length in morning about 342.45m, while

Makassar-Maros Axis Road has the longer queue length in afternoon and evening which is 503.49m and 602.69m

respectively.

Keywords: GEH test, Vissim simulation, Traffic flow, Underpass

References: 1. (Permendagri No.56-2015), Kodedan Data Wilayah AdministrasiPemerintahan, Ditjen PUM Kemendagri, Indonesia.

2. Kurniawan, Tri Yari (2017) PertumbuhanKendaraan di Makassar Rata-rata 7 PersenTiapTahun. Available

3. from:https://www.wartaekonomi.co.id/read127322/pertumbuhan-kendaraan-di-makassar-ratarata-7-persen-tiap-tahun.html [Accessed 12 Mei

2017].

4. A. Pindarwati and A. W. Wijayanto, "Measuring performance level of smart transportation system in big cities of Indonesia comparative study:

Jakarta, Bandung, Medan, Surabaya, and Makassar," 2015 International Conference on Information Technology Systems and Innovation (ICITSI),

Bandung, 2015, pp. 1-6.

5. Juniardi, Yulipriyono, E. danBasuki, K.H., 2010, AnalisisArusLalulintas di SimpangTak Bersinyal (Studi Kasus

6. Simpang Timohodan Simpang Tunjung Kota Yogyakarta), Jurnal Media Komunikasi TeknikSipil, Tahun 18, Nomor 1, pp. 1-12

7. QiushiXu, Zhenshuai Jing, Qianfeng Su and Xiaoping Ding, "Research on evaluation of selecting the projects between pedestrian underpass with

pedestrian overcrossing," 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, Nanjing, 2011, pp.

2393-2395.

8. Y. Gao and S. Sun, "Multi-link traffic flow forecasting using neural networks," 2010 Sixth International Conference on Natural Computation,

Yantai, 2010, pp. 398-401.

14.

Authors: Agung Tahta Hidayatullah, Farouk Maricar, Rita Tahir Lopa

Paper

Title: Analysis of Bolifar River Flood Protection in East Seram Regency, Indonesia

Abstract: Flood is a natural phenomenon that is destructive, both in terms of material and loss of life. Floods can come

from overflowing rivers. One of the rivers that often experience a flood is the Bolifar River located in Maluku Province,

Indonesia. This study aims to determine the flood discharge, water level and determine the dimension of the embankment

as one of the efforts of flood control. The topography measurement of the Bolifar River is conducted, then obtaining

rainfall data, watershed characteristics, and soil mechanics examination. The flood discharge is calculated with Hidrograf

Unit Synthetic (HSS) Nakayasu method. The return period Q2Tahun = 341,446 m³ / sec, return period Q5Tahun =

433,956 m³ / sec, return period Q10Tahun = 486,583 m³ / sec, and return period Q20Tahun = 521,211 m³ / sec and with

hydraulic calculations resulted in a flood water level of 2.6 meters from the river bed. From the calculation result, the

dimension of embankment with h = 2.5 meters, width of the embankment = 4 meters, and the slope ratio of 1: 1.5 where

the embankment is planned to be stable against bolsters, stable to the soil support force and the slop stability is quite safe.

Keywords: Embankment, Flood control, HSS, Rainfall, Topography measurement

References: 1. Bappenas. 2008. KebijakanPenanggulanganBanjir di Indonesia.

2. Kodoatie, Robert J., dkk. 2002. BANJIR. PustakaPelajar : Yogyakarta.

3. A. Pauliková and O. Železník, "Multicriterial analysis of factors considering intensity and extent of floods," Proceedings of the 2014 15th

International Carpathian Control Conference (ICCC), VelkeKarlovice, 2014, pp. 418-423.

4. P. Yingchun, "Quantitative research of urban flood-protection project to the added value of real estate: Based on Intervel-valued instuitionistic

fuzzy sets theory," 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), XianNing, 2011, pp.

5142-5147.

5. Zhang Hongbo, Shi Jianjun, Xin Chen and Gao Fan, "Variation trends analysis and its ecological impact of sediment discharge in the mainstream

of the Yellow River," 2011 International Symposium on Water Resource and Environmental Protection, Xi'an, 2011, pp. 1124-1127.

6. Sen Du, "Hydrological analysis of urban flood control planning," 2012 International Symposium on Geomatics for Integrated Water Resource

Management, Lanzhou, 2012, pp. 1-4.

7. Liu Tao, Zhang Zijian, ZongXianguo, "Influence of sediment from Yellow River on aquatic ecosystems of rivers in Lubei Plain", Journal of

China Hydrology, vol. 28, pp. 77-79, 2008.

8. N L Poff, J D Allan, M A Palmer et al., "River flows and water wars: emerging science for environmental decision making", Frontiers in Ecology

and the Environment, vol. 1, pp. 298-306, 2003.

54-58

15.

Authors: A.R. Djamaluddin, A. Arsyad, Hilman Tauhik

Paper

Title:

Analysis of Soil Response to Earthquakes in the City of Makassar Using EERA Software with Walanae Fault

Earthquake

Abstract: The response spectrum model for buildings in Makassar is determined by conducting location-specific

analysis using a linear quadratic approach of non-linear response techniques. Typical stratigraphy of sedimentary soil in

Makassar is collected and categorized as model 1: sand on sand 12 m, and model 2: 10 m clay on clay. The DSHA is

carried out by considering two seismic sources that affect the city, involving Walanae Fault Mw 7.53 with a distance of

89.64 km and Makassar Thrust Mw 7.46 with a distance of 149.41 km. Spectral readings were performed where the

actual time history obtained from shallow turbid earthquakes with similar seismic characteristics was adjusted according

to the target response spectrum obtained from DSHA. A suitable time history is then used as a ground motion input with

a PGA target of 0.253 g into the equivalent linear estimate of the nonlinear response using EERA. From the data obtained

that seismic pressure on the soil is more related to the depth of soil than the elasticity of the soil. The deeper soil

sediments, the greater pressure and strain produced will be propagated. The maximum spectral acceleration of model 1

59-62

was found in the range of 1.24 g in the period of 0.21 s to the period of 0.22 s. In model 2 has a smaller spectral

acceleration compared to Model 1 which is 0.63 g in the period of 0.68 s.

Keywords: DSHA, Earthquake, EERA software, PGA

References: 1. R. Edelani, A. R. Barakbah, T. Harsono and A. Sudarsono, "Association analysis of earthquake distribution in Indonesia for spatial risk mapping,"

2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC), Surabaya, 2017, pp. 231-238.

2. InaTEWS, 2011. Available from: http://inatews.bmkg.go.id/query-gempa-dirasakan.php.

3. J. Veri and T. Y. Wah, "Earthquake Prediction Based on the Pattern of Points Seismic Motion," 2012 International Conference on Advanced

Computer Science Applications and Technologies (ACSAT), Kuala Lumpur, 2012, pp. 209-212.

4. A. E. Sulistiawati, A. R. Barakbah, T. Harsono, Y. Setyowati, "Earthquake Density Measurement Using Automatic Clustering", The 3-rd

Indonesian-Japanese Conference on Knowledge Creation and Intelligent Computing (KCIC) 2014, March 25–26, 2014.

5. Yuen A. David, J. K. Benjamin, F. B. Evan, W. Dzwinel, A. G. Zachary, R. S. Cesar, "Clustering and Visualization of Earthquake Data in a Grid

View", Visual GeoScience, 2015.

6. Y. Zhang, Z. Jiang and X. Cheng, "Detection of crustal deformation induced by earthquake and volcanic activities in Java, Indonesia," 2011 IEEE

International Geoscience and Remote Sensing Symposium, Vancouver, BC, 2011, pp. 2200-2203.

7. K. V. Isabella, L. Sampebatu and I. Albarda, "Analysis of earthquake magnitude level based on data Twitter with decision tree algorithm," 2017

International Conference on Information Technology Systems and Innovation (ICITSI), Bandung, 2017, pp. 73-76.

8. A. Fariza, N. P. Abhimata and J. A. NurHasim, "Earthquake disaster risk map in east Java, Indonesia, using analytical hierarchy process —

Natural break classification," 2016 International Conference on Knowledge Creation and Intelligent Computing (KCIC), Manado, 2016, pp. 141-

147.

9. M. I. Ramadhan, Penerapan Data Mining UntukAnalisis Data BencanaMilikBnpbMenggunakanAlgoritma, vol. 22, no. 1.

10. M. N. Shodiq, D. H. Kusuma, M. G. Rifqi, A. R. Barakbah and T. Harsono, "Spatial analisys of magnitude distribution for earthquake prediction

using neural network based on automatic clustering in Indonesia," 2017 International Electronics Symposium on Knowledge Creation and

Intelligent Computing (IES-KCIC), Surabaya, 2017, pp. 246-251.

11. H. Miura, F. Yamazaki and M. Matsuoka, "Identification of Damaged Areas due to the 2006 Central Java, Indonesia Earthquake Using Satellite

Optical Images," 2007 Urban Remote Sensing Joint Event, Paris, 2007, pp. 1-5.

12. N. Setyawan, N. Hakim,

13. "Penyusunanpetarisikobencanagempabumiskalamikroberdasarkankerusakanbangunan", Faculty of Geography Gajah Mada University Yogyakarta

Indonesia, 2012.

14. Reiter, L. (1990). Earthquake Hazard Analysis- Issues and Insights, Columbia University Press, New York, 254

16.

Authors: Mukhsan Putra Hatta, Farouk Maricar, Arham Samauna

Paper

Title: Identification of Potential Surface Water Sources Using Digital Elevation Model in District of North Buton

Abstract: District of North Buton is a dry area with low rainfall and the region is immeasurable. Therefore, the use of

spatial data from scientific research institutions (NASA and BIG) can be done as an alternative to analyze the potential of

surface water sources in North Buton District. The purpose of this research is to identify the location of surface water

resource in the District of North Buton, so that it can be known whether the location of the catchment area and the

amount of discharge. The method used in this study is simulated using open source software-based Geographic

Information System (GIS). Based on the catchment area, rainfall distribution value and runoff coefficient value, the mean

annual discharge can be determine which is a potential source of surface water. This research resulted in the potential for

surface water sources North Buton is a potential point 1 to point potential Catchment 32 with the highest discharge value

is 15.1222 m³ / sec (Catchment potential point 10) and the lowest discharge value is 0.525 m³ / sec (Catchment potential

point 29).

Keywords: Geographic Information System (GIS), Surface water resource

References: 1. Liu Yan and He Yi, "Study on optimal allocation of irrigation water sources to restore groundwater in Jinghui Irrigation District," 2011

International Symposium on Water Resource and Environmental Protection, Xi'an, 2011, pp. 78-81.

2. Jun Pan, Lijuan Wang, Li Xu and Xin Yang, "Optimal allocation of water resources based on water environment security in Shenbei region,

Liaoning," 2011 International Symposium on Water Resource and Environmental Protection, Xi'an, 2011, pp. 562-565.

3. M. Dong, Z. Shi, H. Su, Y. Liu and W. Zhang, "Simulation on the relationship between land use/land cover and the surface runoff in Songhuaba

water source region," 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, 2011, pp. 3362-3365.

4. X. Luo, Y. Xu and F. Zhou, "Research on the integration of data warehouse, virtual reality and geographical information system in water

resources management," Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services,

Fuzhou, 2011, pp. 497-500.

5. R. Y. Liu, "Studies on integration of GIS-platforms in Zhejiang Provincial water conservancy management information system", Journal of

Zhejiang University (Science Edition), vol. 28, pp. 204-210, 2001.

6. J. F. Wang, G. D. Cheng, Y. G. Gao, A. H. Long, Z. M. Xu et al., "Optimal water resource allocation in arid and semi-arid areas", Water

Resources Management, vol. 22, pp. 239-258, 2008.

7. J. F. Wang, H. Y. Chen, Z. Y. Wang, P. Z. Shi, J. L. Wu, "Decision support system for regional development and water resources coordination",

Progress in Geography, vol. 19, pp. 9-16, 2000.

8. Setiawan, EkaWahyu 2014. IdentifikasiPotensiSumber Air PermukaanDenganMenggunakan DEM (Digital Elevation Model) Di

KabupatenLembataProvinsi Nusa Tenggara Timur. UniversitasBrawijaya. JurnalPenelitianVolume 01 Nomor 02.

9. Wicaksono, Satrio 2014. IdentifikasiPotensiSumber Air PermukaanDenganMenggunakan DEM (Digital Elevation Model) Di Sub Das

KontoHulu– Kabupaten Malang. UniversitasBrawijaya. JurnalSumberDayaAlamdanLingkungan

63-67

17.

Authors: IrwanRidwan Rahim, Mary Selintung, Riski Saputra

Paper

Title: Study of Biogas Energy Potential from Pig Waste of Pelambian Hamlet, Salusopai Village, North Toraja District

Abstract: National energy sources still rely on non-renewable fossil-based raw materials, so new breakthroughs are

needed to develop renewable energy such as biogas. This study was carried out in Pelambian Hamlet. Salusopai Village.

North Toraja Regency with the aims to analyze the potential and benefits of biogas energy development from pig waste

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and formulate its development strategy in Pelambian Hamlet. Data collection was carried out through questionnaires to

the residents of Pelambian Hamlet. Salusopai Village to find out the information of livestock and energy needs. The

development of biogas energy can used to replace the fossil fuels and the substitution of LPG energy into biogas has

benefits the economic ad environment which reduces the impact of pollution from pig waste and produces fertilizer from

waste that has gone through the fermentation process. The calculation of biogas energy potential is based on the dry

matter content of pig manure. The obtained result demonstrated the biogas energy potential is 9.17 m3/day or equivalent

to 4.22 kg LPG/day. The strategy to develop biogas energy from pig waste is to build biogas installations, optimize the

use of slurry as fertilizer, build concrete fixed-dome digesters, optimize existing pigs, maximize absorption of DAK in

accordance with existing regulations, conduct socialization and training in making biogas installations, making and

strengthening a group of pig farmers in Pelambian Hamlet.

Keywords: Biogas Energy, Fixed-dome digesters, Pig Waste, Renewable energy

References: 1. Wahyuni, Sri. 2013. Biogas: EnergiAlternatifpengganti BBM, Gas danListrik. Jakarta Selatan. AgromediaPustaka. Indonesia.

2. A. Ahsan and S. A. Chowdhury, "Feasibility study of utilizing biogas from urban waste," 2nd International Conference on the Developments in

Renewable Energy Technology (ICDRET 2012), Dhaka, 2012, pp. 1-4.

3. P. Morin, B. Marcos, C. Moresoli, C. B. Laflamme, "Economic and environmental assessment on the energetic valorization of organic material

for a municipality in Quebec, Canada", Applied Energy 87 (2010) 275-283.

4. B. Khelidj, B. Abderezzak and A. Kellaci, "Biogas production potential in Algeria: Waste to energy opportunities," 2012 International

Conference on Renewable Energies for Developing Countries (REDEC), Beirut, 2012, pp. 1-5.

5. H. Sulistyo, S. Syamsiah, D. A. Herawati and A. A. Wibawa, "Biogas production from traditional market waste to generate renewable energy,"

2012 7th International Forum on Strategic Technology (IFOST), Tomsk, 2012, pp. 1-4.

6. Wahyuni, Sri. 2015. PanduanPraktis Biogas. Jakarta. PenebarSwadaya. Indonesia.

7. Hanif, Andi. 2010. StudiPemanfaatan Biogas sebagaiPembangkitListrik 10 kW KelompokTaniMekarsariDesa Dander

BojonegoroMenujuDesaMandiri Energi. Fakultas TeknologiIndustriInstitutTeknologi Surabaya.

8. BalaiBesarPengembanganMekanismePertanianBadanLitbangPertanian, DepartemnPertanian (2008).

9. Simeon, TorbiraMtamabari. 2009. Techno-Economic Analysis of a Model Biogas Plant for Agricultural Applications; a Case Study of the

Concordia Farms Limited, Nonwa, Tai, Rivers State. Department of Mechanical Engineering University of Nigeria.

10. Tran Minh Tien, Pham Xuan Mai, Nguyen Dinh Hung and Huynh Thanh Cong, "A study on power generation system using biogas generated

from the waste of pig farm," International Forum on Strategic Technology 2010, Ulsan, 2010, pp. 203-207.

11. Herawati, Tati. 2012. RefleksiSosialdariMitigasiEmisi Gas RumahKacapadaSektorPeternakan di Indonesia. Wartazoa. Volume 22, No.1.

12. Sudarno, Fadelan. 2015. PeningkatanEfesiensiKompor LPG DenganMenggunakanReflektorRadiasiPanasBersirip. JurnalIlmiahSemestaTeknika.

Volume 18, No.1.

18.

Authors: Delviyana Sariri, Muralia Hustim, Mubassirang Pasra

Paper

Title:

Micro-Simulation of Traffic at the 3-Way Junction with PTV VISSIM Software (Jalan A.P. Pettarani-Jalan

Boulevard-JalanPelita Raya)

Abstract: This study aims to determine the traffic performance at 3-way junction of Jalan A.P. Pettarani- Jalan

Boulevard- JalanPelita Raya. The study conducted a survey to obtain the geometric data and vehicle volume and then

analyzed using PTV Vissim software which refers to the calibration process and validation of the simulation model using

the volume and length of queues of vehicles in the field. The calibration was carried out by trial and error by considering

the driver's behavior follow by the GEH Test on the vehicle volume. The simulation result was validated by Chi-Square

Test on the length of the vehicle queue. Furthermore, traffic engineering is conducted with optimization of phase time

and cycle time whereby optimization with increasing the cycle time from 105 seconds to 120 seconds demonstrated better

traffic performance than the existing traffic performance.

Keywords: GEH Test, PTV Vissim software, Traffic simulation

References: 1. SUN Chao, XU Jian-min. Research on City Intersection Improvement and Optimization Based on VISSIM[J].Guangdong GongLu Jiao Tong,

2010,(3):15-21.

2. Nicholas E.Lownes, Randy B.Machemehl. Sensitivity of Simulated Capacity to Modification of VISSIM Driver Behavior Parameters.

Transportation Research Record: Journal of the Transportation Research Board, No. 1988, Transportation Research Board of the National

Academies, Washington,D.C., 2006:102-110.

3. P. M. Ejercito, K. G. E. Nebrija, R. P. Feria and L. L. Lara-Figueroa, "Traffic simulation software review," 2017 8th International Conference on

Information, Intelligence, Systems & Applications (IISA), Larnaca, 2017, pp. 1-4.

4. H. Chen, X. Zhang and G. P. Liu, "Simulation and Visualization of Empirical Traffic Models Using VISSIM," 2007 IEEE International

Conference on Networking, Sensing and Control, London, 2007, pp. 879-882.

5. X. Du and D. Sun, "Research on the arterial coordination control of road intersections in port areas based on vissim simulation," 2018 Chinese

Control And Decision Conference (CCDC), Shenyang, 2018, pp. 5744-5747.

6. Z. Bede, B. Németh and P. Gáspár, "Simulation-based analysis of mixed traffic flow using VISSIM environment," 2017 IEEE 15th International

Symposium on Applied Machine Intelligence and Informatics (SAMI),Herl'any, 2017, pp. 000347-000352.

7. Yuehui Yang, Yao Lu, LiminJia, Yong Qin and Honghui Dong, "Optimized simulation on the intersection traffic control and organization based

on combined application of simulation softwares," 2012 24th Chinese Control and Decision Conference (CCDC), Taiyuan, 2012, pp. 3787-3792.

8. Yulianto, Budi danSetiono. 2013. KalibrasidanValidasi Mixed Traffic Vissim Model. Surakarta :UniversitasSebelasMaret.

9. Putri, NurjannahHaryanti. 2015. Mikrosimulasi Mixed Traffic padaSimpangBersinyaldenganPerangkatLunakVissim (StudiKasus: SimpangTugu,

Yogyakarta). Yogyakarta: UniversitasGadjahMada.

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19.

Authors: Ika Putri Hendriyani, Sakti Adji Adjisasmita, Achmad Faisal Aboe

Paper

Title: Analysis of Apron Pavement Thickness in Central Airport Based On the Amount and Type of Aircraft

Abstract: Sentani Airport is one of the airports that became a liaison between districts in Papua. Growth that occurs

annually makes Sentani airport gets busier. Analysis of the rigid pavement apron of Sentani airport was done with the aim

to determine the thickness of pavement layers at airports. The method used is a method of planning the FAA (Federal

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Aviation Administration). The first step to consider is the value of CBR (California Bearing Ratio) subgrade, the

determination of the value of the modulus of subgrade, selecting the best plan, maximum take-off weight (MTOW) of the

aircraft, the load of the aircraft wheels (w2), departure corrected (R2), the load of the aircraft wheels plans (w1) and

annual equivalent flight departures plan (R1). This pavement analysis using aircraft Boeing plans 737-900ER. Based on

the data obtained from the value of aircraft MTOW plan, the quality of concrete, modulus of subgrade and the value of

R1 were plotted on a curve to obtain the FAA pavement thickness. The results of this study showed that the best plan for

the 737-900ER required a pavement thickness of 61 cm by 41 cm layer of concrete slab and 20 cm subbase layer.

Keywords: pavement, apron, aircraft, airport, Sentani Airport

References: 1. R.D. Horonjeff, Y. Kimural, N.P. Robert & C.F. Rossano, Aircraft Management Studies. Acoustic Data Collected at Grand Canyon, Haleakala

and Hawaii Volcanoes National Parks (1993).

2. T. Kazda and B. Caves, Airport Design and Operation 127 (2017).

3. Bethary, Pradana and Basidik43, 105 (2015).

4. S.I. Sarsam,International Journal of Transportation Engineering and Traffic System IJTETS2(1), 1 (2016).

5. Triwibowo, JurnalGradasiTeknikSipil 1, 70 (2014)

6. Udara, D. J. P. KeputusanDirekturjenderalperhubunganUdaraNomor SKEP. 161/IX/03

7. tentangpetunjukpelaksanaanperencanaan/perancanganLandasanPacu, Taxiway, Apronpada Bandar Udara.

8. Federal Aviation Administration (FAA).Advisory Circular (AC) No.AC/150/5320-10F Standart for Specifying Contruction of Airport.

Washington DC : US Departement Of Transportation (2009).

20.

Authors: Wulandari Alwinda Puspasari , M. Isran Ramli, S. A. Adisasmita

Paper

Title: The Tariff System of Informal Public Transportation in Urban Areas

Abstract: Ojek transportation or motorcycle taxi represents the alternative public transportation dominating Mamuju

city. This research is aimed to investigate the characteristics of ojek transportation, analyse the tariff determining factors,

tariff determination based on the vehicle operational cost (VOC), Ability to pay (ATP) and willingness to pay (WTP).

The research used the data obtained form the Transportation Ministry, house budget hold and perception method. The

collected data were analyzed using the multiple linear regression. The research result indicated that VOC is Rp

1,224,593.28/year, tariff based on ATP is Rp. 4.357, 566/trip and tariff based on WTP is Rp. 4011, 909/trip. The tariff

will increase or decrease in line with changes of X variables which affect.

Keywords: ATP, Ojek Transportation, Tariff, VOC, WTP

References: 1. Perhubungan, K. (2009).

2. Indonesia, R. (2014).

3. A.F. Saffan and M. Rizki, IOP Conference Series: Earth and Environmental Science 158, 012024 (2018).

4. PAU IlmuTeknikUniversitas Gajah Mada. (2009).

5. Edison, B, JurnalAplikasiTeknikSipil 8, 1 (2014).

6. Dewanti, D. Achmad and P. Danang, Journal of Society for Transportation and Traffic Studies (JSTS) 3, 42 (2012).

7. M. Siregar, JurnalEkbis 16, 12 (2007).

8. DepartemenPerhubungan R.I DirektoratJenderalPerhubunganDarat. (2002).

9. Aviasti, A., IPTEK Journal of Proceedings Series 3, (2014).

10. Panjaitan, I. F. JurnalTeknikSipil USU, 2(3), (2013)

11. BPS KabupatenMamuju, MamujuDalamAngka 2017. Mamuju: BPS (2017)

12. Walpole, Myers, &Ye K.Probabilistic structural mechanics handbook: theory and industrial applications. (2007).

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21.

Authors: Maria Triselia Guhar, Muhammad Saleh Pallu, Mukhsan Putra Hatta

Paper

Title: Study of Mathematical Model Application in Analysis of Tello River Flood

Abstract: River is a natural element that was instrumental in shaping the pattern of life of a community. For example,

in the city of Makassar, one of the essential rivers is the river Tello. However, in addition to many benefits, often also

causing disasters, namely floods. One way to cope with floods in this area are studying the phenomenon and the

vulnerability of flood conditions in watersheds using hydrologic approach through flood search method known as

kinematic Muskingum method. Results from this study are expected to provide an alternative solution with the optimal

treatment approach the river hydrological conditions of Tello River. This research was conducted by processing rainfall

data at three stations along the stream to get the value of flood discharge. Then proceed with processing the flood

discharge plan with the inflow into the Muskingum method to get the value of the outflow. Segments of the river

reviewed so far is 20 km and by dividing the share of the river as many as 5 segments with 4 km each. The value of x is

determined between 0.1 to 0.3 and a K value of between 0.16 to 0.57. These values are used to calculate get the flood

outflow of each segment of the river.

Keywords: shaping, hydrological, Muskingum method

References: 1. C. Lai, X. Chen, X. Chen, Z. Wang, X. Wu, and S. Zhao, Natural Hazards 77, 1243 (2015).

2. M.S.F.M. Noor, L.M. Sidek, H. Basri, M.M.M. Husni, A.S. Jaafar, M.H. Kamaluddin, W H A W A Majid, A.H. Mohammad, and S. Osman, IOP

Conference Series: Earth and Environmental Science 32, 012023 (2016). 3. T.H.H. San and M.M. Khin, Advances in Intelligent Systems and Computing Genetic and Evolutionary Computing 435 (2015).

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22. Authors: Muhammad Arsyad Thaha, Rita Tahir Lopa, Muhammad Syahril

Paper

Title: Study of Wave Dissipation Relationships with Large Volume Overtopping

Abstract: A lot of researches have been conducted to develop effective wave-retaining beach structures that can

minimize wave energy and deliver positive benefits. Waves also generate energy that can be used. Now ocean waves

have been used as energy sources for electricity generation. The purpose and objective of this research is to consider the

development of energy generation breakwater technology, to identify the parameters that affect the magnitude of the

dissipation wave in the tilting wave energy catcher, and to determine the effect of freeboard height (Rc) and the slope of

the test model (θ) on tilt wave energy catcher for its large stability overtopping wave volume. In accordance with

experiments conducted in the laboratory using a test model, the test results showed that the parameters that affect the

magnitude of wave overtopping in hypotenuse breakwaters are wave period (T), incoming wave height (Hi), freeboard

height (Rc), and the front side slope of the structure (tan).

Keywords: Dissipation, Overtopping wave, Wave energy, breakwater

References: 1. S. Mehrangiz, Y. Emami, S.H.S. Sadigh, and A. Etemadi, International Journal of Smart Grid and Clean Energy 2, 289 (2013).

2. A.F.D.O. Falcão, Renewable and Sustainable Energy Reviews 14, 899 (2010).

3. J.P. Kofoed, Wave Overtopping of Marine Structures Utilization of Wave Ene, thesis, 2002.

4. E.Mehlum, in Hydrodynamics of Ocean Wave-Energy Utilization (Springer, Berlin, Heidelberg, 1986), pp. 51–55.

5. L. Margheritini, D. Vicinanza, and P. Frigaard, Renewable Energy 34, 1371 (2009).

6. P. Contestabile, F. Vincenzo, E.D. Lauro, and D. Vicinanza, Coastal Engineering Proceedings 1, 12 (2016).

7. D. Ünsalan, Scientific Bulletin of Naval Academy 19, 304 (2016).

8. M.F. Ahmad, M.A. Musa, A.Y. Maliki, O. Yaakob, K. Samo, and M.Z. Ibrahim, Journal of Environmental Science and Technology 9, 417

(2016).

9. P. Troch, J. Mollaert, S. Peelman, L. Victor, J.V.D. Meer, D. Gallach-Sánchez, and A. Kortenhaus, Coastal Engineering Proceedings 1, 2 (2014).

10. Z. Liu, Z. Han, H. Shi, and W. Yang, International Journal of Naval Architecture and Ocean Engineering 10, 651 (2017).

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23.

Authors: Mulyono, Rosmariani Arifuddin, Suharman Hamzah

Paper

Title: Study on Monitoring and Evaluation Policy of OSHA Implementation in Construction in Makassar

Abstract: This study aims to determine the policy and management commitment to occupational, safety and health

administration (OSHA) and know the description OSHA application in an attempt to minimize occupational accidents, as

well as measuring the level of monitoring and evaluation of policy implementation both in norms, standards, guidelines

and criteria on the construction project of high-rise buildings in the city of Makassar. The required data included primary

data obtained directly by means of a questionnaire survey directed to the construction project, and secondary data is data

and the location of the construction project in the city of Makassar obtained from any building construction project in the

city of Makassar. The collected data are analyzed using SPSS and the univariate descriptive data is presented in the form

of a frequency distribution table. From the results of the research, the level of application of OSHA in the Apartment

Vida View construction project was 99.31%, Maternity Makassar was 80.97%, UMI Education was 0.33%, Stella Maris

was 98.42% and on the construction project of Saint Moriz Mixed Development was 99.31%. It can be concluded from

the results of testing the descriptive hypothesis it was found that understanding occupational safety and health in building

construction projects that were carried out by state-owned enterprises in Makassar City was good, whereas in building

construction projects that private companies worked in Makassar City were bad.

Keywords: Statistics, Makassar city, OSHA, constructions.

References: 1. D. R. Faizah, W. Hartono and S. Sugiyarto, JurnalManajemen Dan Organisasi 1, 80 (2016).

2. F. Pangkey, G. Y. Malingkasand Walangitan, JurnalIlmiah Media Engineering, 2,2 (2012).

3. S. Al-Anbari, A. Khalina, A. Alnuaimi, A. Normariah, and A. Yahya, Process Safety and Environmental Protection 94, 149 (2015).

4. B. Vasconcelos and B.B. Junior, Procedia Manufacturing 3, 4392 (2015).

5. H. Wariishi and T. Tanaka, 6th International Conference on Energy and Environment of Residential Buildings (ICEERB 2014) (2014).

6. P. Hughes and E. Ferrett, Introduction to Health and Safety in Construction 173 (2008).

7. Jamsostek, PT. Laporantahunan PT Jamsostek Wilayah I, Tahun 2006,2007,2008. (2009)

8. R. Soehatman,SistemManajemenKeselamatan&KesehatanKerja. Dian Rakyat, Jakarta (2010).

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24.

Authors: IrwanRidwan Rahim , RusdiUsman Latief , SyahiqMahzuz Umar

Paper

Title: Study of Domestic Management of Electronic waste (E-waste) in Sungguminasa City, Gowa District

Abstract: E-waste is the impact that results from the massive use of electronic goods in the information technology era.

The increasing use of electronic goods results in greater electronic waste. The problem of garbage that has not been fully

resolved is now increasing with the problem of electronic waste. This study aimed to identify the problems of domestic

electronic waste in Sungguminasa City, Gowa Regency in 14 sub-districts of SombaOpu District, Gowa City with a

population of 157,448 or about 1.67% of the total population of the Province of South Sulawesi. The research method was

direct survey by observing and interviews in the form of e-waste characteristic data retrieval, measurement of e-waste,

waste generation potential and analyzing disposal methods and potential economic value of e-waste recycling. From the

results of the study, it was found that from 37 types of electronic goods, three devices refrigerators, computers and

television with percentage of 17%, 14% and 26% respectively were the common wasted devices. The potential of e-waste

generation in SombaOpu District as a whole obtained from 14 villages was 801 838.9 kg / year or 801.8 tons / year. The

most widely applied processing method for e-waste was modification, repaired and stored with 55%, 19% and 17%

respectively, while the least used e-waste processing method is disposed of at a percentage of 9%. The results of the

potential analysis of the economic value of e-waste recycling from 3 electronic items that are quite high had a value of each

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refrigerator of Rp. 1657807, computer Rp. 2327121, and television Rp. 3625178.

Keywords: E-waste, SombaOpu District, and e-waste management

References: 1. S. Alumur and B.Y. Kara, Computers & Operations Research 34, 1406 (2007).

2. K. Breivik, J.M. Armitage, F. Wania, and K.C. Jones, Environmental Science & Technology 48, 8735 (2014).

3. J.A. Kalana, International Journal of Environmental Sciences 1, (2010).

4. A. Pariatamby and D. Victor, Journal of Material Cycles and Waste Management 15, 411 (2013).

5. S. Sthiannopkao and M.H. Wong, Science of The Total Environment 463-464, 1147 (2013).

6. Widyarsana, I.M.W., Winarsih, D.R., Damanhuri, E. and Padmi, T., (2010).

25.

Authors: Rasburhany U, SaktiAdji Adisasmita, Tri Harianto

Paper

Title: Air Side Development at OesmanSadik Airport, South Halmahera District

Abstract: OesmanSadik Airport, South Halmahera District requires an air transportation that can serve passengers, by

overcoming the limitations of transport capacity, the length of the runway and the limited flight routes that operate

today. Through the air side analysis of OesmanSadik Airport and the use of alternative aircraft, it is expected to give a

little consideration for the development plan of OesmanSadik Airport in an effort to anticipate future developments.

This is to ensure that it can serve the needs of safe airport services, comfortable, economical, and can meet the needs of

the community. This study evaluate the runway dimension, which is in accordance with the planned aircraft's needs

which is for short and long-term service with the largest aircraft ATR-72 Series 500 and for long-term service with

Boeing 737 Series 500 aircraft using the ICAO (International Civil Aviation Organization) method. From the results of

this analysis, 3 aircraft types ATR-42, Cassa 212 and Dornier 328 with flight schedules 6 times a week are not expected

to be able to serve the number of passengers in 2027. The alternative solutions is to use 1 aircraft of the ATR-72 Series

500 that can overcome the need for short-term passenger carrying capacity and the length of the existing runway is still

able to serve flight requests. However for long-term services, Boeing 737 Series 500 aircraft is used which require

additional runway lengths of 1,400 to 2,656 m.

Keywords: OesmanSadik Airport, runway length, aviation, ICAO method

References: 1. J. Suyono, A. Sukoco, M.I. Setiawan, Suhermin, and R. Rahim, Journal of Physics: Conference Series 930, 012045 (2017).

2. M. Setiawan, S. Surjokusumo, D. Ma’Soem, J. Johan, C. Hasyim, N. Kurniasih, A. Sukoco, I. Dhaniarti, J. Suyono, I. Sudapet, R . Nasihien, S.

Mudjanarko, A. Wulandari, A.S. Ahmar, and M. Wajdi, Journal of Physics: Conference Series 954, 012024 (2018).

3. S.I. Sarsam and H.A. Ateia, Transportation and Development Institute Congress 2011 (2011).

4. Givoni, M. and Rietveld, P., Transportation Research Part A: Policy and Practice, 43,5 (2009)

5. V. Pai, Journal of Air Transport Management 16, 169 (2010)

6. Permana, S. J., &Hidyastuti, H. (2013). Permana, S. J., &Hidyastuti, H 42, 203 (2013).

7. Wicaksono, A., Kurniadi, A., &Rahmawati, I. 29-36. 42, 101 (2012).

8. Dondokambey, F. G., Rumajar, A. L., Manoppo, M. R., &Waani, J. E. JurnalSipilStatik, 1,4, (2013).

9. Hazanawati, H., &Sartono, W. (2009).

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26.

Authors: Sutrisno Masita, Muhammad Arsyad Thaha, Silman Pongmanda

Paper

Title: Study on the Changes of TanjungBunga Coastline

Abstract: The coast line is the boundary line between land and seawater, where the position is not fixed and may

change according to the tide and coastal erosion that occur. Changes in coastlines are caused by natural factors

including ocean waves, currents, winds, river sedimentation, the condition of coastal vegetation as well as volcanic and

tectonic activity and human factors, including the construction of ports and facilities, mining, dredging, destruction of

coastal vegetation, aquaculture, protection beach and beach reclamation. Based on the description above, this research

was conducted to find out the factors that influenced the changes in the coastline in TanjungBunga and the changes that

occurred. From the results of tides, bathymetry and topography, the analysis showed that the change in the coastline of

TanjungBunga was caused by sediment supply from the Jeneberang River and also by the construction of the Jetty

beach building at the mouth of the Jeneberang River and groin which were not built effectively. At station 0 + 100 to 0

+ 400 observation points, there was a setback in 2005 and 2009. While in 2007, station 0 + 100 to 0 + 300 progressed

and in 2011, station 0 + 00 to 0 + 200 experienced progress. For station 0 + 500 to 0 + 800 it has progressed from 2003

to 2011.

Keywords: beach, coastline, tides, sediment, TanjungBunga

References: 1. S.E. Apitz, Science of The Total Environment 415, 9 (2012).

2. A.J. Mehta, Estuarine Cohesive Sediment Dynamics Lecture Notes on Coastal and Estuarine Studies 290 (2013).

3. P. Wang, Principles of Tidal Sedimentology 19 (2011).

4. R. Langkoke and B. Rochmanto, Sedimentology 59, 899 (2011).

5. S. Sakka, M. Purba, I.W. Nurjaya, H. Pawitan, and V.P. Siregar, JurnalIlmu Dan TeknologiKelautanTropis 3, (2011)

6. Danial, K. Jusof, Asmidar, Hamsiah and C.S.Yurnidar, World Applied Sciences Journal 6 862, 41 (2013).

7. H. Umar, S. Rahman, A.Y. Baeda, and S. Klara, Procedia Engineering 116, 125 (2015).

8. S. Baja, M. Ramli, and S. Lias, Biologia 64, (2009).

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27.

Authors: Faishal Kirman, Achmad Zubair, Riswal K.

Paper Study on the Level of Mercury Pollution in Sea Water around TanjungBayang Beach, Kota Makassar

Title:

Abstract: Increasing heavy metals in seawater will cause heavy metals that were originally needed for metabolic

processes will turn out to be toxic to organisms in the sea. Besides being toxic, heavy metals will also accumulate in

biota and sediment through the gravity process. This research was conducted around TanjungBayang Beach in

Makassar City in January 2017. Sampling was carried out at 3 stations and 9 points. This research is to measure

physical and chemical parameters in sea water, heavy metal content of Hg in water, sediment, and marine biota. These

results are then analyzed by the method of bio concentration of mercury metal in marine biota. The results of this study

indicate that mercury content in sea water is <0,0005 mg / l on average. This sea water level is still low from the

KEPMENLH 51 Threshold Value of 2004. Mercury levels in sediments are between 0.0156 - 0.0217 mg / kg, fish

0.0501 - 0.0796 mg / kg, and sea slugs 0.0516 - 0.2068 mg / kg. The levels of mercury in sediments and marine biota

are still below the threshold value. The ability of fish and sea snails to accumulate heavy metal mercury (Hg) is

indicated by the value of bio concentration factors (FBo-w) which are between 100.2 - 413.6 and (FBo-s) between 2.308

- 13.256.

Keywords: Bio concentration, mercury pollution, sea water.

References: 1. M.R. Kusumadewi, I.W.B. Suyasa, and I.K. Berata, ECOTROPHIC : JurnalIlmuLingkungan (Journal of Environmental Science) 9, 25 (2015)

2. S. A. Zubayr, MAKARA of Science Series 8, (2009)

3. C. I. Prasasti, J. Mukono,.andS. Sudarmaji, JurnalKesehatan LingkunganUnair, 2,2 (2006).

4. G. Genchi, M. Sinicropi, A. Carocci, G. Lauria, and A. Catalano, International Journal of Environmental Research and Public Health 14, 74

(2017).

5. T.T Putranto, JurnalPendidikanTeknologiPertanian3, 197 (2011)

6. H. Umar, S. Rahman, A.Y. Baeda, and S. Klara, Procedia Engineering 116, 125 (2015).

7. A. Mallongi, R.L. Ane, and A.B. Birawida, JurnalKesehatan Lingkungan Indonesia 16, 51 (2014)

8. Efendi., International Journal of Environmental Protection 9 (2000).

9. T. Kusumastanto, PencemaranTeluk Jakarta. (2004).

10. F. Wahab, and I. Insan, ScriptaBiologica1, 57 (2009).

11. Darmono, PenerbitUniversitas Indonesia (1995).

12. H. P. Hutagalung, Pewarta Oceana IX, (1), pp.12, (1991)

13. N. M. A. Siregar, JurnalPascapanen Dan BioteknologiKelautan Dan Perikanan3, 69 (2013).

14. C. Supriyanto. and Z. K.Samin, 4,8 (2007)

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28.

Authors: Arivienanand Rajamanikam, Mahmud Iwan Solihin

Paper

Title: Solid Waste Bin Classification using Gabor Wavelet Transform

Abstract: Solid waste dumping has become an issue and a threat towards health and it is continuing to deteriorate

with time. It is known that solid waste (SW) accumulation will rise drastically over time and epidemiological effects

will soon rise from unplanned or unscheduled solid waste dumping. With Solid Waste Management (SWM) at its

optimum performance, this problem can be mitigated. There are several reasons for a system to fail but one is focussed

to engineer a solution towards waste treatment. Solid waste segregation takes longer to process compared to treating it

on a weekly schedule. By utilising machine vision and machine learning technologies, solid waste bin classification can

be done norm as a pathway towards efficient waste segregation. In this paper Gabor wavelet transformation (GWT) is

used for classifying solid waste images by convoluting an image with Gabor wavelet kernels with different scales and

orientation. The features are extracted from the image training database to model a supervised Artificial Neural Network

(ANN) with the actual bin level grades. The computational speed or efficiency of the GWT is increased by using

Genetic algorithm (GA) where a total of 48 out 80 features are used sufficiently, whereby less wavelets are used in the

process thus increasing the performance to a maximum of 47.52%. The mean squared error before and after

optimisation gave a difference of 91.9% in improvement with GA. The proposed method proved that with GWT and

GA, SW is gradable with random waste images and it has proven to be optimum from analysis

Keywords: Gabor wavelet transformation (GWT), Solid Waste Management (SWM, solid waste (SW), Artificial

Neural Network (ANN)

References: 1. A. Fazeli, F. Bakhtvar, L. Jahanshaloo, N.A.C. Sidik, and A.E. Bayat, Renew. Sustain. Energy Rev. 58, 1007 (2016).

2. L.A. Guerrero, G. Maas, and W. Hogland, Waste Manag. 33, 220 (2013).

3. P. Sukholthaman and K. Shirahada, Technol. Soc. 43, 231 (2015).

4. J. Aleluia and P. Ferrão, Waste Manag. 58, 415 (2016).

5. M.A. Hannan, M. Arebey, R.A. Begum, and H. Basri, Waste Manag. 32, 2229 (2012).

6. M.S. Islam, M.A. Hannan, H. Basri, A. Hussain, and M. Arebey, Waste Manag. 34, 281 (2014).

7. M.A. Hannan, M.A. Al Mamun, A. Hussain, H. Basri, and R.A. Begum, Waste Manag. 43, 509 (2015).

8. W. Zailah, M.A. Hannan, and A. Al Mamun, J. Appl. Sci. Res. 8, 3092 (2012).

9. C. Bhabatosh, Digital Image Processing and Analysis (PHI Learning Pvt. Ltd., 2011).

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29.

Authors: Hashed Ahmed, Bonavian Hasiholan

Paper

Title: Producer-To-Injector Conversion to Enhance Oil Productivity and Profitability

Abstract: Infill new injection wells are utilized to increase the recovery of producing well as it reduces the spacing

that existed between the old production wells that yields higher capital costs. Therefore, the decision, then must be made

to convert old producers to the injectors. This work deals with the subject of converting existing producing wells for

injection purposes. This evaluation was done by investigation the strategy of converting the producers to water injectors

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by design, simulation model and the optimum oil productivity and profitability was evaluated. In this project each phase

of the petroleum recovery (primary and secondary) was modelled and changed through several scenarios in expression

of conversion of production to injection wells as well as utilizing different injection patterns by using simulation

program. Eclipse-100 and Petrel was used as the simulation software and the optimum oil productivity and cost effect of

conversion wells, profit gain and optimum profitability were evaluated. Findings showed that, primary plans’ RF after

modification raced up 42%. Whereas, secondary recovery plan was developed to approximately 56%. This recovery

increment is basically due to the additional oil that was swept microscopically by water and its effect in the injection of

the converted wells. In addition, an economic analysis supported the results of the project with a net revenue value of $

2,325,002,016 over the net income of the base case. In summary, conversion producer wells into injection wells is the

best option to get the optimum oil productivity and profitability.

Keywords: higher capital costs, petroleum recovery, Eclipse-100 , Petre

References: 1. S. Cullick, D. Heath, K. Narayanan, J. April, and J. Kelly, J. Pet. Technol. 56, 77 (2004).

2. H. Li, Y. Tang, Z. Wang, Z. Shi, S. Wu, D. Song, J. Zhang, K. Fatih, J. Zhang, and H. Wang, J. Power Sources 178, 103 (2008).

3. P. Chen, S. Balasubramanian, S. Bose, A. Alzahabi, and G. Thakur, in Offshore Technol. Conf. (Offshore Technology Conference, 2018).

4. C. Wei, Y. Li, B. Song, C. Tian, B. Li, J. Zhou, J. Zheng, H. Luo, and J. Lan, in SPE Asia Pacific Oil Gas Conf. Exhib. (Society of Petroleum

Engineers, 2016).

5. A. Muggeridge, A. Cockin, K. Webb, H. Frampton, I. Collins, T. Moulds, and P. Salino, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 372,

20120320 (2014).

6. B. Zhang, Z. Guan, A.R. Hasan, N. Lu, Q. Wang, Y. Xu, Q. Zhang, and Y. Liu, Appl. Therm. Eng. 118, 292 (2017).

7. Q.X. Liu, China Univ. Geosci. Beijing 14 (2006).

8. R.G. Pasikki, J. Maarif, A. Joeristanto, F. Libert, N. Kay, C. Park, N. Lane, and A.N. Zealand, in Proc. Thirty-Sixth Work. Geotherm. Reserv.

Eng. (2011).

30.

Authors: Mohamed Shafeer Mohamed Althaf, Elhassan Mostafa Abdallah Mohammed

Paper

Title: Oil Well Stimulation for Carbonate Reservoir using Acidizing Techniques

Abstract: Matrix acidizing is one of the oldest well stimulation methods that has been used for the past few decades

to resolve the formation damage issue. However, stimulation in carbonate reservoir rocks is considered difficult due to

the high degree of challenge faced during the stimulation process. An efficient matrix acidizing system for carbonate

reservoir. This paper mainly focuses on designing as operational excellence approach in diagnosis of the type of

formation damage, selection and formulation of suitable stimulation fluid and designing a complete acidizing system for

carbonate reservoirs. In this work, crude and deposit samples from two different wells of a carbonate oil field named

Bukit Tua field located in the East Java region of Indonesia was used as case studies to quantify and analyse the type of

formation damage. Various analytical tests such as dissolution test, modified SARA analysis, pH of the crude sample,

on the samples were conducted in the laboratory to understand and affirm the occurrence of formation damage. Based

on the analytical results and studies, it was concluded that the deposition of organic and inorganic scales in and around

the wellbore caused the majority problem in carbonate wells. Hence, a micro emulsion formulation and a heat

generating formulation were designed in order to simultaneously dissolve and disperse the deposits and also make the

heavy viscous crudes to flow. The customized stimulation fluid had a controlled reaction kinetics, low density and the

ability to simultaneously treat multiple formation damage issues in carbonate wells that gives them an edge over the

conventional acidizing systems. Following the most crucial stage of proper stimulation fluid selection, an efficient

treatment plan has been designed in order to scale up for field applications.

Keywords: carbonate reservoir rocks, Matrix acidizing, SARA analysis

References: 1. M.J. Economides, A.D. Hill, C. Ehlig-Economides, and D. Zhu, Petroleum Production Systems (Pearson Education, 2013).

2. T.M. Mata, A.A. Martins, and N.S. Caetano, Renew. Sustain. Energy Rev. 14, 217 (2010).

3. Q. Wang, X. Chen, A.N. Jha, and H. Rogers, Renew. Sustain. Energy Rev. 30, 1 (2014).

4. I.M. Banat, A. Franzetti, I. Gandolfi, G. Bestetti, M.G. Martinotti, L. Fracchia, T.J. Smyth, and R. Marchant, Appl. Microbiol. Biotechnol. 87,

427 (2010).

5. F. Civan, Reservoir Formation Damage (Gulf Professional Publishing, 2015).

6. M.A. Mahmoud, J. Can. Pet. Technol. 53, 141 (2014).

7. K. Furui, R.C. Burton, D.W. Burkhead, N.A. Abdelmalek, A.D. Hill, D. Zhu, and M. Nozaki, SPE J. 17, 271 (2012).

8. M. Finšgar and J. Jackson, Corros. Sci. 86, 17 (2014).

9. J.L. Wilson, Carbonate Facies in Geologic History (Springer Science & Business Media, 2012).

10. L. Gandossi, Eur. Commisison Jt. Res. Cent. Tech. Reports 26347, (2013).

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31.

Authors: Lim Zhen Hao, Elhassan Mostafa Abdallah Mohammed

Paper

Title:

Determination of Paraffin and Asphaltene Precipitation Conditions: A Study of Flow Assurance for Heavy Oil

Production

Abstract: Raw petroleum is a perplexing blend of hydrocarbons which comprises of aromatics, paraffin, naphthenic,

saps and asphaltenes. At the point when the temperature of raw petroleum is decreased, the overwhelming parts, similar

to paraffin, will accelerate and store on the pipe inner divider as a wax-oil gel. The gel store comprises of wax gems that

trap some measure of oil. As the temperature gets cooler, more wax will precipitate and the thickness of the

wax gel will increase, causing gradual solidification of the crude and eventually the oil stop moving inside

the offshore pipeline. The presence of paraffin wax in heavy crude oil has caused variety of problems and fouling in

wellbore, production tubing and refineries. It has change the flow behaviour of the heavy crude oil.In this study, nature

of heavy components in heavy crude oil will be studied to understand well about the paraffin wax precipitation and

depositional. Two type of heavy crude oil samples were used in this study and determination of Wax Appearance

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Temperature (WAT) by using three different method i.e. ASTM Standard Visual Method, Say-bolt Viscometer Methods

and Differential Scanning Calorimeter. Comparison will be made among these three methods to test the experiment

accuracy and its WAT sensitivity. Next, wax inhibitor i.e. Toluene and Cyclohexane will be added to the heavy crude

oil specimen to test the possibility in WAT reduction. An overall understanding on the nature of paraffin wax, wax

depositional mechanism and remediation techniques will be achieved.

Keywords: ax Appearance Temperature (WAT), crude oil, ASTM Standard Visual Method, Say-bolt Viscometer

Methods.

References: 1. B. Coto, C. Martos, J.J. Espada, M.D. Robustillo, and J.L. Pena, Energy & Fuels 25, 487 (2010).

2. R. Martínez-Palou, M. de Lourdes Mosqueira, B. Zapata-Rendón, E. Mar-Juárez, C. Bernal-Huicochea, J. de la Cruz Clavel-López, and J.

Aburto, J. Pet. Sci. Eng. 75, 274 (2011).

3. K. Cao, Q. Zhu, X. Wei, and Z. Yao, Energy & Fuels 29, 993 (2015).

A. Hosseinipour, A.B. Japper-Jaafar, and S. Yusup, Procedia Eng. 148, 1022 (2016).

4. H.P. Roenningsen, B. Bjoerndal, A. Baltzer Hansen, and W. Batsberg Pedersen, Energy & Fuels 5, 895 (1991).

5. T.F. Yen and G. V Chilingarian, Fuel Sci. Technol. Int. 14, 343 (1996).

6. E. Ariza-León, D.-R. Molina-Velasco, and A. Chaves-Guerrero, CT&F-Ciencia, Tecnol. y Futur. 5, 39 (2014).

7. Z. Huang, H.S. Lee, M. Senra, and H. Scott Fogler, AIChE J. 57, 2955 (2011).

8. J.G. Speight, Fouling in Refineries (Gulf Professional Publishing, 2015).

9. S.T. Thota and C.C. Onyeanuna, Int. J. Eng. Res. Rev 4, 39 (2016).

10. R. Martínez-Palou, M. de Lourdes Mosqueira, B. Zapata-Rendón, E. Mar-Juárez, C. Bernal-Huicochea, J. de la Cruz Clavel-López, and J.

Aburto, J. Pet. Sci. Eng. 75, 274 (2011).

32.

Authors: Mohamed Shafeer Mohamed Althaf, Elhassan Mostafa Abdallah Mohammed

Paper

Title: Diagnosis and Treatment of Naphthenate Deposits Embedded With other Organics and Inorganics

Abstract: Napthenate solid deposits in oil wells tend to contribute towards vital flow assurance issues and production

decline due to formation damage, increase in the weight of the crude by almost 12% and restriction in the production

tubing and around the wellbore. This paper showcases an operational excellence approach in diagnosis of oil producing

wells, which might have the potential to form naphthenate deposits along with other inorganic scale, corrosion product

and organics. In this work, deposits, crude and formation water samples from an oil field located offshore Peninsular

Malaysia was used as a case study to quantify the presence of naphthenates. Various analytical tests such as modified

SARA analysis, cationic and anionic analysis of formation water, Total Acid Number (TAN) analysis, pH of the crude

sample and also X-Ray diffraction (XRD) on the samples were conducted in the laboratory to understand and affirm the

occurrence of the naphthenates. Based on the analytical results, it was concluded that naphthenate deposit was the main

issue in the well. Also, there were possibilities of wax and other inorganic deposition to take as identified by the test

results. Hence a single step micro emulsion formulation was designed that can enhance the productivity of the well by

injecting the formulation into the designated zones to dissolve naphthenate embedded with inorganic material,

simultaneously dissolve/disperse organic deposit, break the naphthenate induced tough emulsions and change the

wettability characteristics of the formation rock towards water wetting to ease the flow of oil into the wellbore. The

formulation of the speciality micro-emulsion is vastly based on the characteristics of the formation fluid, nature of the

sample, reservoir and operating conditions. The application of this study is a preliminary attempt to establish guidelines

for early detection of problems related to naphthenate and possible chemical remedial, thereby, stimulating preventive

measures and attenuation plan which can be formulated and replicated in wells with naphthenate problems in various

parts of the world.

Keywords: Naphthenates, SARA analysis, cationic and anionic analysis, Total Acid Number (TAN) analysis

References: 1. M.A. Kelland, Production Chemicals for the Oil and Gas Industry (CRC press, 2014).

2. V. Alvarado and E. Manrique, Energies 3, 1529 (2010).

3. E.A. Taborda, C.A. Franco, S.H. Lopera, V. Alvarado, and F.B. Cortés, Fuel 184, 222 (2016).

4. A.S. Mohamed, S.S. Alian, J. Singh, R. Singh, A. Goyal, and G. Munainni, in Offshore Technol. Conf. Asia (Offshore Technology Conference,

2016).

5. M.C.K. de Oliveira, F.F. Rosário, J.N. Bertelli, R.C.L. Pereira, F.C. Albuquerque, and L.C.C. Marques, in SPE Annu. Tech. Conf. Exhib.

(Society of Petroleum Engineers, 2013).

6. W.W. Frenier and M. Ziauddin, in SPE Annu. Tech. Conf. Exhib. (Society of Petroleum Engineers, 2010).

7. A.A. Olajire, J. Pet. Sci. Eng. 135, 723 (2015).

8. S.S. Alian, K. Singh, A. Saidu Mohamed, M.Z. Ismail, and M.L. Anwar, in SPE Asia Pacific Oil Gas Conf. Exhib. (Society of Petroleum

Engineers, 2013).

9. D.M. Grewer, R.F. Young, R.M. Whittal, and P.M. Fedorak, Sci. Total Environ. 408, 5997 (2010).

10. G. Hu, J. Li, and G. Zeng, J. Hazard. Mater. 261, 470 (2013).

11. A.S. Mohamed, A. Goyal, M. Ismail, G. Munainni, J.K. Amar Singh, M.Z. Ismail, and M. Anwar, in Offshore Technol. Conf. (Offshore

Technology Conference, 2014).

136-142

33.

Authors: M.F. Zanil, K.O Chan, M.A Hussain

Paper

Title: Algorithm in the Fluidized-Bed Reactor for the Polymerization of Propylene

Abstract: A modified artificial bee optimization is proposed in this study. The algorithm is based on the colony

behavior of certain bee species to achieve optimal solution in the bounded environment. The proposed algorithm is

designed by improving the exploration knowledge of onlooker bee from meta-heuristic concept in search space. The

multiple searches is proposed in the exploration phase to evaluate the multi objective functions. The performance of the

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proposed algorithm is tested on the typical benchmark equations and complex case of the polymerization of propylene

in fluidized bed reactor. The proposed technique is able to provide an optimal solutions and it shows a good

performance in term of convergence, accuracy and computational load.

Keywords: Polymerization, fluidized bed reactor, optimal solutions

References: 1. W.D. Chang, Simul. Model. Pract. Theory 31, 1 (2013).

2. D. Karaboga and B. Basturk, J. Glob. Optim. 39, 459 (2007).

3. M. Basu, Int. J. Electr. Power Energy Syst. 49, 181 (2013).

4. D. Karaboga, An Idea Based on Honey Bee Swarm for Numerical Optimization (Technical report-tr06, Erciyes university, engineering faculty,

computer …, 2005).

5. P. Balasundaram and C.I. Akilandam, Int. J. Eng. Innov. Technol. 1, 1 (2012).

6. Shamiri, S.W. Wong, M.F. Zanil, M.A. Hussain, and N. Mostoufi, Chem. Eng. J. 264, 706 (2015).

7. Shamiri, M.A. Hussain, F.S. Mjalli, and N. Mostoufi, Comput. Chem. Eng. 36, 35 (2012).

8. Y.M. Harshe, R.P. Utikar, and V. V Ranade, Chem. Eng. Sci. 59, 5145 (2004).

9. M. Alizadeh, N. Mostoufi, S. Pourmahdian, and R. Sotudeh-Gharebagh, Chem. Eng. J. 97, 27 (2004).

10. T.F. McKenna and J.B.P. Soares, Chem. Eng. Sci. 56, 3931 (2001).

11. Kiparissides, Chem. Eng. Sci. 51, 1637 (1996).

12. K.B. McAuley, J.P. Talbot, and T.J. Harris, Chem. Eng. Sci. 49, 2035 (1994).

13. S. Floyd, K.Y. Choi, T.W. Taylor, and W.H. Ray, J. Appl. Polym. Sci. 31, 2231 (1986).

14. Y. V Kissin, Isospecific Polymerization of Olefins: With Heterogeneous Ziegler-Natta Catalysts (Springer Science & Business Media, 2012).

34.

Authors: Kiew Peck Loo, Kirtana Sivalingam

Paper

Title: Simultaneous Removal of Copper and Fluoride from Wastewater by Adsorption Using Chicken Eggshell

Abstract: In recent years, agricultural wastes and biomass have been extensively investigated as low cost adsorbents in

heavy metal removal owing to the facts that they are relatively cheap and exhibit high adsorption capacities. Even

though promising results are reported in literature, information on the simultaneous removal of co-existing pollutants is

still very scarce and limited. Since industrial effluents contain various pollutants, there is a need to develop biosorbents

and system that are able to remove more than one pollutant at one time. In this research, chicken eggshell was

investigated for its ability to remove copper and fluoride simultaneously from aqueous solution. The optimization study

showed that the highest removal percentage for copper and fluoride could be achieved at the process conditions as such:

adsorbent dosage of 2.5 g, temperature of 40°C, pH 6 and stirring speed of 350 rpm. Simulatenous removal of both

copper and fluoride ions from mixed solution was possible, however, with a reduction of approximately 26 – 35 % in

fluoride removal but insignificant drop in copper removal percentage compared to single pollutant solution. Scanning

Electron Microscopy (SEM) analysis revealed deposition of flake-like copper and fluoride crystals on the surface of the

chicken eggshell powder thus evidenced its adsorption ability of copper and fluoride ions from aqueous solution.

Keywords: Scanning Electron Microscopy (SEM), copper, fluoride ions

References: 1. Ş. Taşar, F. Kaya, and A. Özer, J. Environ. Chem. Eng. 2, 1018 (2014).

2. N. Feng, X. Guo, and S. Liang, Trans. Nonferrous Met. Soc. China 20, s146 (2010).

3. R. Ahmad, R. Kumar, and S. Haseeb, Arab. J. Chem. 5, 353 (2012).

4. R.K. Anantha and S. Kota, 3 Biotech 6, 83 (2016).

5. C. Liu, H.H. Ngo, W. Guo, and K.-L. Tung, Bioresour. Technol. 119, 349 (2012).

6. H. Daraei, A. Mittal, M. Noorisepehr, and J. Mittal, Desalin. Water Treat. 53, 214 (2015).

7. Buasri, Achanai, Chaiyut, Nattawut, Tapang, Kessarin, S. Jaroensin, and S. Panphrom, Civ. Environ. Res. 2, 2222 (2012).

8. N. Feng, X. Guo, and S. Liang, Trans. Nonferrous Met. Soc. China 19, 1365 (2009).

9. S. Al-Asheh, N. Abdel-Jabar, and F. Banat, Adv. Environ. Res. 6, 221 (2002).

10. F. Banat, S. Al-Asheh, and F. Mohai, Sep. Sci. Technol. 37, 311 (2002).

11. W.T. Tsai, J.M. Yang, C.W. Lai, Y.H. Cheng, C.C. Lin, and C.W. Yeh, Bioresour. Technol. 97, 488 (2006).

12. T. Rubcumintara, J. Clean Energy Technol. 2, 158 (2014).

13. D. Park, Y.-S. Yun, and J.M. Park, Biotechnol. Bioprocess Eng. 15, 86 (2010).

14. Z. Barghouthi and S. Amereih, Am. J. Anal. Chem. 3, 651 (2012).

15. M. a Hossain, H.H. Ngo, W.S. Guo, and T. V Nguyen, Int. J. Geomate 2, 227 (2012).

16. S.R. Hema Krishna and A. V V S Swamy, Chem. Bull 1, 258 (2012).

17. T.N. Delaila, A.L. Chuah, Z. Zawani, and S.A. Rashid, J. Eng. Sci. Technol. 3, 180 (2008).

18. Z. Melichov and L. Hromada, Polish J. Environ. Stud. 22, 457 (2013).

19. P. SenthilKumar, S. Ramalingam, V. Sathyaselvabala, S.D. Kirupha, and S. Sivanesan, Desalination 266, 63 (2011).

20. K.M. Smith, G.D. Fowler, S. Pullket, and N.J.D. Graham, Water Res. 43, 2569 (2009).

21. K.K. Al-Zboon, B.M. Al-smadi, and S. Al-Khawaldh, Water, Air, Soil Pollut. 227, 248 (2016).

22. M.E. Goher, A.M. Hassan, I.A. Abdel-Moniem, A.H. Fahmy, M.H. Abdo, and S.M. El-sayed, Egypt. J. Aquat. Res. 41, 155 (2015).

23. D.D. Salman, W.S. Ulaiwi, and N.M. Tariq, Int. J. Poult. Sci. 11, 391 (2012).

24. M.A. Zulfikar, H. Setiyanto, and S.D. Djajanti, Songklanakarin J. Sci. Technol. 35, 309 (2013).

25. M.G. Sujana, R.S. Thakur, and S.B. Rao, J. Colloid Interface Sci. 206, 94 (1998).

26. B.D. Turner, P. Binning, and S.L.S. Stipp, Environ. Sci. Technol. 39, 9561 (2005).

27. M.K. Anuja Ashok Bhatt, J. Bioremediation Biodegrad. 06, 1 (2015).

28. G. Kashi, A. Mehree, M. Zaeimdar, F. Khoshab, and A.M. Madaree, Bulg. Chem. Commun. 47, 187 (2015).

29. M. Habuda-Stanić, M. Ravančić, and A. Flanagan, Materials (Basel). 7, 6317 (2014).

30. A. Maguire, F. V Zohouri, J.C. Mathers, I.N. Steen, P.N. Hindmarch, and P.J. Moynihan, J. Dent. Res. 84, 989 (2005).

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35.

Authors: Yepuganti Karuna, Saritha Saladi, Pramodh Konduru, G Ramachandra Reddy

Paper

Title: Magnetic Resonance Brain Images Individual Recognition with PCA

Abstract: Every individual brain is identified as unique by proper consideration of the background for individual

difference in the brain functions of the brain morphology. The proposed method is implemented by using structural

magnetic resonance imaging brain recognition is performed using segmentation with the Voxel-Based Morphometric

(VBM) approach and Feature Extraction(FE) using Principal Component Analysis(PCA). Brain recognition is identified

by computing the Euclidean distance among the image pairs, projected into the same subspace. The petite difference in

the Euclidean distances is observed between the same subject when scanned twice and it is due to distinct combination

of scanners used between test-training image pairs with/without scanner up-gradation. The obtained results of rank

identification and receiver operating characteristic curves show that the brain morphology identifies a particular

individual with less false acceptance rate.

Keywords: Brain morphology, Eigen brain, MRI, PCA, Recognition, VBM.

References: 1. Maguire, Eleanor A., David G. Gadian, Ingrid S. Johnsrude, Catriona D. Good, John Ashburner, Richard SJ Frackowiak, and Christopher D.

Frith. “Navigation-related structural change in the hippocampi of taxi drivers.”Proceedings of the National Academy of Sciences 97, no. 8

(2000): 4398-4403.

2. Aydin, Kubilay, Adem Ucar, Kader Karli Oguz, O. Ozmen Okur, Ayaz Agayev, Z. Unal, Sabri Yilmaz, and Cengizhan Ozturk. “Increased gray

matter density in the parietal cortex of mathematicians: a voxel-based morphometry study.” American Journal of Neuroradiology 28, no. 10

(2007): 1859-1864.

3. Schlaug, Gottfried, Lutz Jancke, Yanxiong Huang, and Helmuth Steinmetz. “In vivo evidence of structural brain asymmetry in

musicians.”SCIENCE-NEW YORK THEN WASHINGTON- (1995): 699-699.

4. Münte, Thomas F., Eckart Altenmüller, and Lutz Jäncke. “Opinion: the musician's brain as a model of neuroplasticity.” Nature reviews.

Neuroscience 3, no. 6 (2002): 473.

5. Mechelli, Andrea, Jenny T. Crinion, Uta Noppeney, John O'doherty, John Ashburner, Richard S. Frackowiak, and Cathy J. Price.

“Neurolinguistics: structural plasticity in the bilingual brain.” Nature 431, no. 7010 (2004): 757-757.

6. Draganski, Bogdan, Christian Gaser, Volker Busch, Gerhard Schuierer, Ulrich Bogdahn, and Arne May. “Neuroplasticity: changes in grey

matter induced by training.” Nature 427, no. 6972 (2004): 311-312.

7. Ashburner, John, and Karl J. Friston. “Voxel-based morphometry—the methods.”Neuroimage 11, no. 6 (2000): 805-821.

8. Saritha, Saladi, and N. Amutha Prabha. “A comprehensive review: Segmentation of MRI images—brain tumor.” International Journal of

Imaging Systems and Technology 26, no. 4 (2016): 295-304.

9. Raghavendra, RV Sai, Yepuganti Karuna, and Saritha Saladi. "MS Lesion Segmentation for Single and Multichannel MRI Images Using

MICO Technique." In 2018 International Conference on Communication and Signal Processing (ICCSP), pp. 0807-0811. IEEE, 2018.

10. Ashburner, J., and K. J. Friston. “Unified segmentation. NeuroImage, 26, 839e851.” 32Japanese Journal of Cognitive Neuroscience (2005).

11. Saladi, Saritha, and N. Amutha Prabha. "Analysis of denoising filters on MRI brain images." International Journal of Imaging Systems and

Technology 27, no. 3 (2017): 201-208.

12. Saladi, Saritha, and N. Amutha Prabha. "MRI brain segmentation in combination of clustering methods with Markov random

field." International Journal of Imaging Systems and Technology 28, no. 3 (2018): 207-216.

157-161

36.

Authors: C Sivarami Reddy, V Ramachandra Prasad, K Jayalakshmi

Paper

Title: Natural Convection in a Square Enclosure Filled with Micropolar Fluid: Effect of Thermal Radiation

Abstract: The present examination manages the investigation of shaky laminar common convective stream in a

square walled in area loaded up with micropolar liquid. The vertical dividers of the nook are kept up at various uniform

temperatures and best and base dividers are thermally protected. Nonlinear overseeing conditions defined in

dimensionless frame and unraveled by numerically with Marker and Cell Method (MAC). Calculations have been done

to break down with the impacts of Rayleigh number (Ra), Prandtl number (Pr) and vortex consistency parameter (k)

both for feeble and solid fixation cases. Acquired processed outcomes have been exhibited as streamlines, isotherms and

vorticity profiles and talked about through graphically. The impact of vortex thickness parameter (k) on stream rate just

as rate of warmth exchange is analysed.

Keywords: Natural Convection, Micropolar Fluid, Cavity, Numerical results, MAC.

References: 1. A.C Eringen, Simple microfluids, Int. J. Eng. Sci. 2 (1964) 205-217.

2. A.C Eringen, Theory of micropolar fluid, J. Math. Mech. 16 (1966) 1-18.

3. A.C Eringen, Theory of thermomicrofluids, J. Math. Anal. Appl. 38 (1972) 480-496.

4. G. De Vahl Davis and P. Jones, Natural convection in a square cavity: A comparison exercise, International Journal for Numerical Methods in

Fluids, 3 (1983) 227-248.

5. G. De Vahl Davis, Natural convection of air in a square cavity: A benchmark numerical solution, International Journal for Numerical Methods in

Fluids, 3 (1983) 249-264.

6. Mikhail A. Sheremet, Ioan Pop, AnuarIshak,Time-dependent natural convection of micropolar fluid in a wavy triangular cavity, International

Journal of Heat and Mass Transfer 105 (2017) 610–622.

7. Igor V.Miroshnichenko, Mikhail A.Sheremet, Ioan Pop, Natural convection in a trapezoidal cavity filled with a micropolar fluid under the effect

of a local heat source, International Journal of Mechanical Sciences, 120 (2017) 182-189.

8. Hari R. Kataria, Harshad R. Patel, Rajiv Singh, Effect of magnetic field on unsteady natural convective flow of a micropolar fluid between two

vertical walls, Ain Shams Engineering Journal 8 (2017) 87–102.

9. MatejZadravec, Matjazˇ Hribersˇek, LeopoldSˇ kerget, Natural convection of micropolar fluidinanenclosurewithboundary element method,

Engineering Analysis with Boundary Elements 33 (2009) 485–492.

10. AhmadiG.Self-similarsolutionofincompressiblemicropolarboundarylaye flow overasemi-infiniteflatplate, IntJEngSci 14 (1976) 639–646.

11. A.J. Chamkha, T. Grosan, I. Pop, Fully developed free convection of a micropolar fluid in a vertical channel, Int. Commun. Heat Mass Transfer

29 (2002) 1119–1127.

12. A.C. Eringen, Microcontinuum Field Theories: II. Fluent Media, Springer-Verlag, New York, 2001.

13. T. Ariman, M.A. Turk, N.D. Sylvester, Microcontinuum field mechanics – a review, Int. J. Eng. Sci. 11 (1973) 905–929.

14. T. Ariman, M.A. Turk, N.D. Sylvester, Applications of microcontinuum field mechanics, Int. J. Eng. Sci. 12 (1974) 273–291.

15. G. Lukaszewicz, Micropolar Fluids, Theory and Application, Birkha¨ user, Basel, 1999.

16. Brown DL, Cortez R, Minion ML (2001),Accurate projection methods for the incompressible Navier–stokes equations. J ComputPhys 168:464–

162-170

499

17. Ambethkar, Mohit Kumar Srivastava, Numerical Study of an Unsteady 2-D Incompressible Viscous Flow with Heat Transfer at Moderate

Reynolds Number with Slip Boundary Conditions, International Journal of Applied Mathematics, Volume 25 No. 6 2012, 883-908.

18. Francis H. Harlow, J. Eddie Welch, Numerical calculation of time dependent viscous incompressible flow of fluid with free surface, Phys. Fluids,

8 (1965), 2182-2189.

19. Barrett R et al. (1994) Templates for the solution of linear systems: building blocks for iterative methods. SIAM Press, Philadelphia.

20. Tapas Ray Mahapatra, Dulal Pal, SabyasachiMondal, Effects of buoyancy ratio on double-diffusive natural convection in a lid-driven cavity,

International Journal of Heat and Mass Transfer 57 (2013) 771–785.

37.

Authors: M.N.V Kiranbabu, K.V.V Satyanarayana

Paper

Title: Inquisition the Prospect of Ranking Cloud Service Provider using Distinctive Algorithms

Abstract: Selecting services in cloud computing platform varies in several ways, where in fact the service quality is

assessed by the cloud customer part and the negotiation issues was forwarded by CSB to avail the utmost throughput.

The initiation to start CSB pivot role shows that CSB was characterized as the intermediation of services between CC

and CSP. This research work incorporates with three participants CC, CSP, CSB, presents the scenario of supporting

ranking viewpoint of CSP by CSB as the CC was associated with his regular attached work. The successful

implementations of three algorithms are being used for ranking are grey method implementing strategy, back

propagation methodology and pivot attribute selection with selective user condition methodology. We derive above

three algorithms on rank of CSP with an execution and result focused procedure. Many rank methods was produced

from statistical methodologies but almost all of them are impractical and novelty. Our effect oriented procedure display

in striking the goals of calculating CSP ranking in cloud computing platform

Keywords: Cloud Computing, CSB prioritization, Service distribution, Ranking algorithms, Grey ranking and back

propagation approach.

References: 1. Slavek, Ninoslav, and Alan Jović. "Application of grey system theory to software projects ranking." Automatika: časopis za automatiku,

mjerenje, elektroniku, računarstvo i komunikacije53.3 (2012): 284-293.

2. Sharma, Rajat, Gautam Nagpal, and Amit Kanwar. "Algorithm for Ranking Consumer Reviews on E-commerce Websites."

3. Dhanavandan, S. "Application of Garret Ranking Technique: Practical approach." International Journal of Library and Information Studies 6.3

(2016): 135-140.

171-176

38.

Authors: Roweda M.A. Mahmuod, Rahela Rahim

Paper

Title: Minimize Aggregate Measure of Waiting Times and Queue Lengths in M/G/1 Queue

Abstract: The classic optimization techniques are helpful to find the optimum resolution or free maxima or minima

of continuous and differentiable functions. The target of this study is to develop a replacement formula to solve the

pedestrian congestion problem based on queuing theory and optimization that will lead to an efficient algorithm for

pedestrian flow in optimizing allocation of pedestrian and service capacity subject to limited buffer space by show a

mathematical model that minimizes an aggregate measure of waiting times and queue lengaths for a group of arrivals by

using Lagrange multiplayer. Ls (expected variety of consumers within the ith system, Ws (expected time employment

spends within the ith system), Lq(expected variety of consumers within the queue in the ith system) ,Wq(Expected time

employment spends in the queue in the ith system) decreased compared with the naïve value of λi. A queuing model

calculator used to calculate the optimal values.

Keywords: Queuing Network, Optimization, M/G/1 queue.

References: 1. Böhm, W. (2014). “Queues and Networks”, Wiley StatsRef: Statistics Reference Online.

2. Shortle, J. F., Thompson, J. M., Gross, D., & Harris, C. M. (2018). “Fundamentals of queueing theory”, (Vol. 399). John Wiley & Sons.

3. Kleinrock, L. (1964). “A delay dependent queue discipline”, Naval Research Logistics Quarterly, 11(3‐4), 329-341.

4. Takagi, H., & Kodera, Y. (1996). “Analysis of preemptive loss priority queues with preemption distance”, Queueing systems, 22(3-4), 367-

381..

5. Chen, H., & Yao, D. D. (2013). “Fundamentals of queueing networks: Performance, asymptotics, and optimization”, (Vol. 46). Springer

Science & Business Media.

6. Kermani, P., & Kleinrock, L. (2014). “Virtual cut-through: A new computer communication switching technique”.

7. Cruz, F. R. B., Van Woensel, T., & Smith, J. M. (2010). “Buffer and throughput trade-offs in M/G/1/K queueing networks: a bi-criteria

approach”, International Journal of Production Economics, 125(2), 224-234.

8. Smith, J. M., & Cruz, F. R. B. (2014). “M/G/c/c state dependent travel time models and properties”, Physica A: Statistical Mechanics and its

Applications, 395, 560-579.

9. Rahim, Rahela, and Ku Ruhana Ku Mahamud (2011). "Optimizing workload allocation in a network of heterogeneous computers", Journal of

Information and Communication Technology 10 (2011): 1-13.

10. Tavana, M., & Rappaport, J. (1997). “Optimal allocation of arrivals to a collection of parallel workstations”, International Journal of

Operations & Production Management, 17(3), 305-325.

177-180

39.

Authors: Mohammad Illyas Sidik, Adzhar Rambli, Zamalia Mahmud, Raiha Shazween Redzuan,

Nur Huda Nabihan Md Shahri

Paper

Title: The Identification of Outliers in Wrapped Normal Data by using Ga Statistics

Abstract: This paper focuses on identifying outliers in the wrapped normal distribution. It is commonly found and

when it is dealing with circular data, the existing of outliers will increase several problems.We will be using the existing

statistics, the G_a statistics to identify a single and patch of outliers in the wrapped normal data. A Monte Carlo

simulation will be carried out to generate the cut-off point’s value. The power performance of the discordancy test in

181-188

circular data has been investigated. The increment of the contamination level, λ, large value of concentration parameter,

ρ and large sample size, n will increase the performance of the outlier detection procedures. In addition, the result shows

that the statistics performs well in detecting a patch of outliers in the data. As an illustration a practical example is

presented by using the wind direction in Kota Bharu station. As conclusion, the G_a statistics successfully detect outlier

presence in this data set.

Keywords: Circular data, outliers, G_a statistics, wrapped normal distribution, Monte Carlo simulation, wind

direction.

References: 1. Abuzaid, A. H. (2009). Some problems of outliers in circular data. PhD thesis: Institute of Mathematical Science, University of Malaya.

2. Binkley, S. (1990). The clockwork sparrow: time, clock and calendars in Biological Organisms. Upper Saddle River, NJ: Prentice

Hall.

3. Downs, T. (1974). Rotational Angular Correlation. In Biorhythms and Human Reproduction. Ed. M., Ferin, F. Halberg, & L. van der Wiele.

New York: Wiley. 97-104.

4. Downs, T. D. & Mardia, K. V. (2002). Circular regression. Biometrika.89(3): 683-697.

5. Downs, T., Leibman, J. & Mackay, W. (1970). Statistical methods for vectorcardiogram orientations. In Proc. XI Int. Vector Cardiography

Symposium, Ed. I. Hoffman. Amsterdam: North Holland. 216-222.

6. Grubbs, F. E. (1969). Procedures for detecting outlying observations in samples. Technometrics. 11 (1): 1–21.

7. Jammalamadaka, S. R. & SenGupta, A. (2001). Topics in Circular Statistics. World Scientific Press, Singapore.

8. Jammalamadaka, S. R., Bhadra, N., Chaturvedi, D., Kutty, T. K., Majumdar, P. P., & Poduval, G. (1986). Functional assessment of knee and

ankle during level walking. In Matusita, K., editor. Data Analysis in Life Science. Indian Statistical Institute, Calcutta, India. 21-54.

9. Maddala, G. S. (1992). Outliers. Introduction to Econometrics (2nd ed.). New York: MacMillan. pp. 88–96.

10. Moore-Ede, M. C., Sulzman, F. M., & Fuller, C. A. (1982). The Clocks that Time Us: Physiology of the Circadian Timing System. Cambridge,

MA: Harvard University Press.

11. Mulder, K. &Klugkist, I. (2017). Bayesian estimation and hypothesis tests for a circular Generalized Linear Model. Journal of Mathematical

Psychology. 80: 4-14.

12. Pyke, R. (1965). Spacings. Journal of the Royal Statistical Society Series B. 27(3): 395-449.

13. Rambli, A. (2015). A Half-Circular Distribution and Outlier Detection Procedures in Directional Data. PhD. thesis: Faculty of

Science, University of Malaya, Kuala Lumpur.

14. Rambli, A., Ibrahim, S., Abdullah, M. I., Hussin, A. G., & Mohamed, I. (2012). On Discordance Test for the Wrapped Normal Data. Sains

Malaysiana. 41(6): 769-778.

15. Rivest, L. -P. (1997). A decentred predictor for circular–circular regression. Biometrika. 84(3): 717-726.

16. Roy, A., Pal, A., & Garain, U. (2017). JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic

plaque segmentation. Pattern Recognition. 66: 160–173.

17. Whittaker, E. T. & Watson, G. N. (1994). A course in Modern Analysis. Cambridge University Press, Cambridge.

18. Yanga, M. S., Chiena, S. J. C., & Hung, W. L. (2017). Learning-based EM clustering for data on the unit hypersphere with application to

exoplanet data. Applied Soft Computing. 60: 101–114.

40.

Authors: Aniq A Rohmawati, Adiwijaya, Milah Sarmilah

Paper

Title:

Classification of Microarray Data Involves Naïve Bayes and Dimension Reduction

Using Haar Wavelet

Abstract: A general problem solving for handling microarray data is classification process with added a selection

process from huge attributes. In particular, the escalated of attributes dimensionality provides a challenge to microarray

handling techniques, related to microarray represents the large amount of genes expression. The multi-dependency

(multicollinearity) may affect the performance when determining the parameter of classification. Many ways of solving

the multicollinearity problem exists, the variable selection technique has become particularly popular. This is the

method which use wavelet transformation for a few carefully selected variable and the method which regress respond

variable onto a few linier combinations (components) of the original attributes. Wavelet is commonly used in image

processing, spectral data using wavelet transformation have proved very successful in capturing the distinction among

hyperspectral data. This paper investigates a new method of transformation data using Haar wavelet for selection

processes. Our extensive study compares the selection processes using Haar wavelet transformation and Genetic

Algorithm considering the selection dataset that implemented to Naïve Bayes classification. In addition, the selection-

classification using Haar wavelet and Naïve Bayes describes a classification cancer and non-cancer quite well related to

the accuracy of confusion matrix

Keywords: Microarray, dimension reduction, Haar wavelet, Naïve Bayes.

References: 1. Kumar, M., Singh, S. and Rath, S. (2015). “Classification of microarray data using functional link neural network. Procedia Computer Science

57”, page 727–737.

2. Xhemali, Daniela, Chris J. Hinde, and Roger G. Stone. (2009).“Naïve bayes vs. decision trees vs. neural networks in the classification of training

web pages”.International Journal of Computer Science Issues 4(1), page 16-23.

3. Nurfalah, A., Adiwijaya, and Suryani, A. A. (2016).“Cancer detection based on microarray data classification using PCA and modified back

propagation. Far East Journal of Electronics and Communications 16(2), page 269-281.

4. Morettin, P.A. (2004). Waves and Wavelets: From Fourier to Wavelet Analysis of Time Series. Institute of Mathematics and Statistics of

University of São Paulo.

5. Phinyomar, A., Nuidod, P., Phukpattaranont, P. and Limsakul, C. (2012). “Feature extraction and selection of wavelet transform coefficients for

EMG pattern classification”. Elektronika Ir Elektrotechnika 122(6), page 28-32.

6. Rohmawati, A. A. and Adiwijaya. “A daubechies wavelet transformation to optimize modeling calibration of active compound on drug plants”.

In5rdInternational Conference on Information and Communication Technology, page 1-4. 2017.

7. Sunaryo, S. (2005). “Calibration model with wavelet transformation as pre-processing method”. Bogor: Sekolah Pascasarjana, Institut Pertanian

Bogor [PhD Thesis].

8. Mubarok, M.S., Adiwijaya, and Aldhi, M.D.(2017). “Aspect-Based Sentiment Analysis To Review Products Using Naïve Bayes”. In AIP

Conference Proceedings 1867(1).

9. Li, J. Kent-ridge bio-medical data set repository. School of Computer Engineering, Nanyang Technological University, Singapore. Downloaded

189-193

https://www-sciencedirect-com.ezproxy.um.edu.my/science/article/pii/S0022249616300827#!

https://www-sciencedirect-com.ezproxy.um.edu.my/science/article/pii/S0022249616300827#!

https://www-sciencedirect-com.ezproxy.um.edu.my/science/journal/00222496

https://www-sciencedirect-com.ezproxy.um.edu.my/science/journal/00222496

https://www-sciencedirect-com.ezproxy.um.edu.my/science/journal/00222496/80/supp/C

on April 2017.

10. Antoniadis, A.(2003). An Introduction to Wavelets and some Applications. University Joseph Fourier, Laboratoire IMAG-LMC, France.

11. Suyanto, S. M. (2008). Soft Computing. Bandung: Informatika.

41.

Authors: Hairulliza Mohamad Judi, Zanaton H Iksan, Noraidah Sahari @Ashaari

Paper

Title:

Cognitive Visual Support Design for Efficient Data Analytics Learning Based on Meaningful Reception Learning

Theory

Abstract: Among the main issues in data analytics learning relate to in-depth understanding and concept integration.

Meaningful reception learning theory demonstrates cognitive visual tools to organize knowledge by linking new

information with existing concepts in strong cognitive structure. This study describes essential characteristic in data

analytics and request a cognitive visual model to appreciate literature performance. The study applies meaningful

reception learning theory by contributing users with three character of instructional arrangement as visual cognitive

support to build strong understanding structure i.e. active, collaborative and constructive. The model is expected to help

instructors in systematically constructing data analytics component for efficient learning.

Keywords: knowledge characteristic in data analytics instructors in systematically constructing data analytics

component

References: 1. U.-M. Krause, R. Stark, and H. Mandl, “The effects of cooperative learning and feedback on e-learning in statistics,” Learn. Instr., 19,2, pp. 158–

170, Apr. 2009.

2. D. L. Neumann, M. Hood, and M. M. Neumann, “Using Real-Life Data When Teaching Statistics : Student Perceptions Of This Strategy In An

Introductory Statistics Course 5,” 12,2, pp. 59–70, 2013.

3. N. J. Broers and T. Imbos, “Charting and manipulating propositions as methods to promote self-explanation in the study of statistics,” Learn.

Instr., 15,6, pp. 517–538, Dec. 2005.

4. Y. G. Mulder, A. W. Lazonder, and T. de Jong, “Using heuristic worked examples to promote inquiry-based learning,” Learn. Instr., 29, pp. 56–

64, Feb. 2014.

5. S. J. Lane-getaz, “Development Of A Reliable Measure Of Students’ Inferential Reasoning Ability,” Stat. Educ. Res. J., 12,1, pp. 20–47, 2013.

6. A. Zieffler, J. Garfield, and E. Fry, “What Is Statistics Education?,” Int. Handb. Res. Stat. Educ. Springer, Cham, pp. 37–70, 2018.

7. D. Ngambi, “Effective and ineffective uses of emerging technologies: Towards a transformative pedagogical model,” Br. J. Educ. Technol., 44,4,

pp. 652–661, 2013.

8. I. Tarling and D. Ngambi, “Teachers pedagogical change framework : a diagnostic tool for changing teachers ’ uses of emerging technologies,”

47,3, pp. 554–572, 2016.

9. J. I. Castillo-manzano, M. Castro-nuno, M. Teresa, and S. Díaz, “Does pressing a button make it easier to pass an exam? Evaluating the

effectiveness of interactive technologies in higher education,” Br. J. Educ. Technol., 47,4, pp. 710–720, 2016.

10. O. Mcgarr and G. Gavaldon, “Exploring Spanish pre-service teachers’ talk in relation to ICT: balancing different expectations between the

university and practicum school,” Technol. Pedagog. Educ., 27,2, pp. 199–209, 2018.

11. D. P. Ausubel and D. Fitzgerald, “Meaningful Learning and Retention : Intrapersonal Cognitive Variables,” Rev. Educ. Res., 31,5, pp. 500–510,

1961.

12. D. P. Ausubel, “A Subsumption Theory of Meaningful Verbal Learning and Retention,” J. Gen. Psychol., 66,2, pp. 213–224, 1962.

13. Y. Ameyaw and M. Okyer, “Concept Mapping Instruction as an Activator of Students ’ Performance in the Teaching and Learning of Excretion,”

Ann. Rev. Res., 1,4, 2018.

14. C. Chiou, “The effect of concept mapping on students ’ learning achievements and interests,” Innov. Educ. Teach. Int., 45,4, pp. 375–387, 2008.

15. C. Chiou, “Effects of concept mapping strategy on learning performance in business and economics statistics,” Teach. High. Educ., 14,1, pp. 55–

69, 2009.

16. D. P. Ausubel, “Preview of Basic Concepts of Meaningful Reception Learning and Retention,” in In: The Acquisition and Retention of

Knowledge: A Cognitive View. Springer, Dordrecht, Springer, Dordrecht, 2000, pp. 38–66.

17. P. Cobb, “Where is the mind? Constructivist and sociocultural perspectives on mathematical development,” Educ. Res., 23,7, pp. 13–20, 1994.

18. J. D. Novak, “Meaningful Learning: The Essential Factor for Conceptual Change in Limited or Inappropriate Propositional Hierarchies Leading

to Empowerment of Learners,” Science Education, 86, 2002, pp. 548–571.

19. T. A. O. de Sousa, N. S. Formiga, S. H. dos S. Oliveira, M. M. L. Costa, and M. J. G. O. Soares, “Using the theory of meaningful learning in

nursing education,” Rev Bras Enferm, 68,4, pp. 626–635, 2015.

20. A. Dierdorp, A. Bakker, J. A. Van Maanen, and H. M. C. Eijkelhof, “Meaningful statistics in professional practices as a bridge between

mathematics and science : an evaluation of a design research project,” Int. J. STEM Educ., 1,9, pp. 1–15, 2014.

21. D. P. Ausubel, J. D. Novak, and H. Hanesian, Psicologia Educacional . Rio de Janeiro: Interamericana. 1980.

22. C. Guimarães, M. César, O. Machado, and S. F. Fernandes, “Comic Books : A Learning Tool for Meaningful Acquisition of Written Sign

Language,” J. Educ. Learn., 7,3, pp. 134–147, 2018.

23. D. H. Jonassen, “Supporting communities of learners with technology: A vision for integrating technology withlearning in schools,” Educ.

Technol., 35,4, pp. 60–63, 1995.

24. B. G. Jonassen, D. H., Peck, K. L., & Wilson, Learning with technology: A constructivist perspective. Upper Saddle River, NJ: Prentice Hall.

1999.

25. M. Tan and K. F. Hew, “Incorporating meaningful gamification in blended learning research methods class: Examining student learning,

engagement, and affective outcomes” Austr. J. Educ. Tech., 32,5, pp. 19–34, 2016.

26. L. H. Hill, “Concept Mapping to Encourage Meaningful Student Learning” Adult Learn. 16,3, pp. 7–13, 2005.

27. E. Mensah, “Exploring Constructivist Perspectives in the College Classroom” SAGE Open, 5,3, pp. 1–14, 2015.

28. R. Ahmad and S. Bayat, “Collaborative problem-based learning in mathematics : A cognitive load perspective,” 32,2011, pp. 344–350, 2012.

29. K. K. Fan, P. wei Xiao, and C. H. Su, “The Effects of Learning Styles and Meaningful Learning on the Learning Achievement of Gamification

Health Education Curriculum,” EURASIA J. Math. Sci. Technol. Educ., 11, pp. 1211–1229, 2015.

30. C. Li, Z. Dong, R. Untch, and M. Chasteen, “Engaging Computer Science Students through Gamification in Online Social Network Based

Collaborative Learning Environment” Int. J. Inf. Educ. Tech., 3, pp. 72–77, 2013.

31. J. Herrington and J. Parker, “Emerging technologies as cognitive tools for authentic learning,” Br. J. Educ. Technol., 44,4, pp. 607–615, 2013.

32. J. Herrington, R. Oliver, and T. C. Reeves, “Patterns of engagement in authentic online learning environments,” 19,1, pp. 59–71, 2003.

33. H. Y. Tan and M. Neo, “Exploring the use of authentic learning strategies in designing blended learning environments,” J. Sci. Technol. Policy

Manag., 6,2, pp. 127–142, 2015.

34. T. Karki, H. Keinänen, A. Tuominen, M. Hoikkala, H. Maijala, T. Kärki, H. Keinänen, A. Tuominen, M. Hoikkala, and E. Matikainen,

“Meaningful learning with mobile devices : pre- service class teachers ’ experiences of mobile learning in the outdoors,” Technol. Pedagog.

Educ., 27,2, pp. 251–263, 2018.

35. D. H. Jonassen and J. Strobel, “Modeling for Meaningful Learning,” Hung D., Khine M.S. Engag. Learn. with Emerg. Technol. Springer, Dordr.,

194-198

pp. 1–27, 2006.

36. A. R. Denham, “Using a digital game as an advance organizer,” Educ. Tech Res. Dev, 66,1, pp. 1–24, 2018.

37. S. Wehry, H. Monroe-ossi, R. England, and C. Fountain, “The development of a select-and-fill-in concept map assessment of human geography

knowledge,” pp. 385–392, 2010.

38. D. J. Doorn and M. O. Brien, “Assessing the Gains from Concept Mapping in Introductory Statistics,” Int. J. Scholarsh. Teach. Learn., 1,2, 2007.

39. A. Gidena and D. Gebeyehu, “The effectiveness of advance organiser model on students ’ academic achievement in learning work and energy,”

Int. J. Sci. Educ., 39,16, pp. 2226–2242, 2017.

40. K. M. Roessger, B. J. Daley, and D. A. Hafez, “E ff ects of teaching concept mapping using practice , feedback , and relational framing,” Learn.

Instr., 54, pp. 11–21, 2018.

41. T. Hickey, “Concept Maps and Feedback in Statistics Learning : Exploring the Effect of Expert Map Feedback and Peer Feedback on Concept

Map Structure on Concept Map Structure,” 2018.

42. M. Taguchi and K. Matsushita, “Deep Learning Using Concept Maps: Experiment in an Introductory Philosophy Course,” Matsushita K. Deep

Act. Learn. Springer, Singapore, 2018.

43. N. Aldoobie, “ADDIE Model,” Am. Int. J. Contemp. Res., 5,6, pp. 68–72, 2015.

44. A. Hamdan, R. Din, S. Z. A. Manaf, N. S. M. Salleh, I. F. Kamsin, R. A. Khalid, N. M. Ismail, P. M. Shah, and A. A. Karim, “Personalized

Learning Environment: Integration of Web Technology 2.0 in Achieving Meaningful Learning,” J. Pers. Learn., vol. 1, no. 1, pp. 13–26, 2015.

45. A. Hamdan, R. Din, S. Z. Abdul Manaf, N. S. Mat Salleh, I. F. Kamsin, and N. M. Ismail, “Exploring the relationship between frequency use of

Web 2.0 and meaningful learning attributes,” J. Tech. Educ. Train., vol. 7, no. 1, pp. 50–66, 2015.

46. S. M. Salleh, Z. Shukur, and H. M. Judi, “Scaffolding Model for Efficient Programming Learning Based on Cognitive Load Theory,” Int. J. Pure

Appl. Math., vol. 118, no. 7, pp. 77–83, 2018.

47. M. Yunus, H. Hashim, N. A. Sulaiman, F. S. Roslan, F. Jeffery, and N. Akmar, “Scaffolding Technique Through Plot Trail Module for Literary

Component,” Jour Adv Res. Dyn. Control Syst., vol. 10, no. 2, pp. 1705–1711, 2018.

48. C. Gabarre, S. Gabarre, R. Din, P. Shah, and A. A. Karim, “Scaffolding Engagement in the Immersive t-MALL Classroom,” Creat. Educ., vol. 7,

pp. 349–363, 2016.

42.

Authors: Shelena Soosay Nathan, VikniswariVija Kumaran, Azham Hussain Nor Laily Hashim, Mazniha Berahim, Rosni

Ramle

Paper

Title: Accessibility Metrics for Hearing-Impaired Mobile Application Usability Evaluation Model

Abstract: This paper discusses on the metrics derived for the detecting-damaged mobile application handling model.

The study on evaluation of mobile applications has been an emerging domain. However, it lacks appropriate guidelines

in identifying issues since existing models or approaches and usability standards are commonly general and unable to

define clearly on the measurements for the evaluation of mobile application interface usability for disable context. This

has been one of the concerns in the area of mobile application usefulness which leads to more challenges in usability

evaluation for the detecting-damaged mobile application. It is also possiblet that handling model that has been

developed with dimension and unable to identify specific measurements in depth unable to cater the exact need of a

disabled person. This complicates the usability practitioner as dimensions are not appropriately provided in detail on

measurement values comprises in the model. To defeated this issue, dimension chosen for the detecting-damaged

mobile has been identifies the measurement values to ensure applications are well evaluated. Measurements identified

has been analyzed through expert review process and results are discussed. Finally, total of 14 metrics were gathered to

support hearing-impaired dimension for usability evaluation model and presented.

Keywords: Usability, Accessibility model, Hearing-impaired, Metrics, Evaluation.

References: 1. M. P. Brown and K. Austin, The New Physique(Publisher Name, Publisher City, 2005), pp. 25–30.

2. A. Hussain, “Metric based evaluation of mobile devices: Mobile goal question metric (mGQM)”, (Doctoral dissertation, University of Salford,

2012).

3. A. Kavcic. Software accessibility: Recommendations and guidelines. In Computer as a Tool, 2005. EUROCON the International Conference on

IEEE, 2005 (Vol. 2, pp. 1024-1027).

4. N. M. M.Zainuddin, H. B. Zaman and A. Ahmad, “Heuristic evaluation on augmented reality courseware for the deaf”, (User Science and

Engineering (i-USEr) International Conference, 2011),pp. 183-188, IEEE.

5. N. Adamo-Villani, “A virtual learning environment for deaf children: design and evaluation. International Journal of Human and Social Sciences,

2007), 2(2), 123-128.

6. A. Seffah, M.Donyaee, R. B. Kline and H. K.Padda, “Usability measurement and metrics: A consolidated model”,(Software Quality Journal,

2006), 14(2), 159-178.

7. S. S. Nathan, A. Hussain, N. L. Hashim. Studies on Deaf Mobile Application: Need for Functionalities and Requirements. (Journal of

Telecommunication, Electronic and Computer Engineering, 2016) 1;8(8):47-50.

8. J. Nielsen, “Heuristic Evaluation”,(Usability Engineering (Vol. 44), 2014), doi:10.1145/1508044.1508050.

9. ISO, “International Standard: ISO 9241-11(Guidance on Usability, 1998), Geneva.

10. M. Billi, L. Burzagli, T. Catarci, G. Santucci, E. Bertini, F. Gabbanini, &E. Palchetti. A unified methodology for the evaluation of accessibility

and usability of mobile applications. (Universal Access in the Information Society, 2010) 9(4), 337-356.

11. K. P, Wegge, & D. Zimmermann. Accessibility, usability, safety, ergonomics: concepts, models, and differences. (International Conference on

Universal Access in Human-Computer Interaction, 2007). (pp. 294-301). Springer, Berlin, Heidelberg.

12. M. King, J. W., Thatcher, P. M., Bronstad, R. & Easton. Managing usability for people with disabilities in a large web presence. (IBM Systems

Journal, 2005) 44(3), 519-535.

13. N. Bevan, &M. Azuma. Quality in use: Incorporating human factors into the software engineering lifecycle. (In Software Engineering Standards

Symposium and Forum, 1997), Emerging International Standards. ISESS 97., Third IEEE International, (pp. 169-179). IEEE.

14. F. Nayebi, J. M., Desharnais&A. Abran, A. The state of the art of mobile application usability evaluation. In Electrical & Computer Engineering

(CCECE), 2012 25th IEEE Canadian Conference on (pp. 1-4). IEEE.

15. A. F., Newell, P, Gregor, M, Morgan, G, Pullin, C, Macaulay. User-sensitive inclusive design. Universal Access in the Information Society. 2011

Aug 1;10(3):235-43.

16. A. Holzinger. Usability engineering methods for software developers. (Communications of the ACM. 2005), 1;48(1):71-4.

17. A. Alsumait andA. Al-Osaimi, “Usability heuristics evaluation for child e-learning applications”,(Proceedings of the 11th International

Conference on Information Integration and Web-based Applications & Services, 2009), pp. 425-430, ACM.

18. J. D., Gould, C, Lewis. Designing for usability: key principles and what designers think. (Communications of the ACM, 1985), 1;28(3):300-11.

19. S. Wagner, F. Deissenboeck. An integrated approach to quality modelling. InSoftware Quality, 2007. WoSQ'07: ICSE Workshops 2007. (Fifth

International Workshop on 2007), (pp. 1-1). IEEE.

199-202

20. A. Fernandez, E. Insfran, S. Abrahão. Integrating a usability model into model-driven web development processes. (In International Conference

on Web Information Systems Engineering, 2009) (pp. 497-510). Springer, Berlin, Heidelberg.

21. S.S. Nathan, A. Hussain, N. L. Hashim. Usability Evaluation of DEAF Mobile Application Interface: A Systematic Review. (Journal of

Engineering and Applied Sciences, 2018) 13(2):291-7.

22. R. Harrison, D. Flood and D. Duce, “Usability of mobile applications: literature review and rationale for a new usability model”,(Journal of

Interaction Science, 2013), 1(1), 1-16.

23. G. Yeratziotis and D. van Greunen, “Making ICT accessible for the deaf”, (IST-Africa Conference and Exhibition, 2013),pp. 1-9, IEEE.

24. World Wide Web Consortium (2015). Mobile Accessibility. Retrieved from https://www.w3.org/TR/mobile-accessibility-mapping/.

25. J. Beskow, O. Engwall, B. Granström, P. Nordqvist, P. Wik. Visualization of speech and audio for hearing impaired persons. (Technology and

Disability, 2008), 1;20(2):97-107.

43.

Authors: Shahirah Mohamed Hatim, Nur Azmina Mohamad Zamani, Lily Marlia Abdul Latif,Mahani AhmadKardri,

Normah Ahmad, Norhaslinda Kamaruddin, Azham Hussain

Paper

Title: E-FoodCart: An Online Food Ordering Service

Abstract: Nowadays, mobile devices with wireless technologies has emerged into the hospitality industry especially

restaurants with the advancements of food ordering systems. Most restaurants use manual ordering process involving

pen and papers in which noting down the orders can be quite slow and can caused errors in noting down the customers’

orders. Based on QSR statistics, young generations usually order food online which caused the online ordering traffic to

grow 300% faster than dine-in traffic. Moreover, most people preferred to use online ordering system as it is more

convenient and reduce their waiting time. Hence, eFoodCart, an online mobile application is a student-friendly

application for food ordering in which the idea and concept is similar to some existing applications such as Pizza Hut

Delivery, Just Eat, Food Panda and Lazada. eFoodCart gathers different vendors providing different types of food

unlike Pizza Hut which only provides their own pizza for delivery. In comparison with Just Eat and Food Panda

applications, both covers city areas whereas eFoodCart focuses more on rural areas to give small towns the

opportunities to sell food online. Furthermore, Lazada does not supplies any food ordering service while eFoodCart

does. The purpose of this application is to allow and assist the residential students of UiTM Perak Branch, Tapah

Campus to order their food via mobile devices. This is a secure and time-saving application for students as they are

required to register to the application using their own student identification number. Besides the students, vendors are

also required to register to eFoodCart application before they can offer their menu to the customer (students). This is to

ensure security and prevent any fraudulent act for both parties. Moreover, B40, the lowest income group will also gain

benefit from this application as it will help them to set up their food business without having any physical stall due to

the limited monetary resources to rent a premise. Hence, eFoodCart will act as an agent for them to perform any

transactions conveniently. The system aims to gather all potential entrepreneurs in food business to use the system as

their business starting point in order to expand their business in the future and also to provide convenience for the public

to purchase food any-where in Malaysia.

Keywords: Mobile application, online food ordering, students, vendors.

References: 1. Shweta S. T., Priyanka R. S., Madhura M. J. (2013). Automated Food Ordering System with Real-Time Customer Feedback. International Journal

of Advanced Research in Computer Science and Software Engineering, 3(2): 220-225.

2. Ting-Peng L., Chen-Wei H., Yi-Hsuan Y. (2007). Adoption of mobile technology in business – a fitviability model. Industrial Management &

Data Systems, 107: 1154-1169.

3. QSR Web (May, 2014). The top ordering trends restaurants can’t ignore. Retrieved from https://www.qsrweb.com/articles/the-top-online-

ordering-trends-restaurants-cant-ignore/

4. Freight Pros (March, 2018). Online Shopping vs In Store Shopping: Who Prefers Which and Why. Retrieved from

https://www.freightpros.com/blog/online-shopping-vs-in-store-shopping/

5. Mannix Marketing (October, 2018). Google Wallet: The Debate – Top 10 Reasons to Use Google Wallet. Retrieved from

https://www.mannixmarketing.com/blog/google-wallet-14/

6. Muhammad K., Abu H. M. I., Jamal A. N. S., Adel A. (2011). Challenges Faced by The Small and Medium Enterprises (SMEs) in Malaysia: An

Intellectual Capital Perspective. International Journal of Current Research, 3(6): 398-401.

7. Abasiti V. A., Rashidah M. I., Wan Abd Aziz W. M. A. (2017). Innovation Performance Growth among Small and Medium Sized Firms in

Malaysia: A Pilot Study. International Journal of Modern Management Sciences, 6(1): 1-6.

8. Mira K., Husnayati H., Mohd Adam S., Mohamed Razi M. J., Mohammad Ruhul A. (2018). Impact of external factors on determining E-

commerce benefits among SMEs in Malaysia. Journal of Global Entrepreneurship Research, 8(18): 1-12.

9. Haslinda M., Muruga C. (2016). Malaysian SMEs Development: Future and Challenges on Going Green. 6 th International Research Symposium

in Service Management, 224: 254-262.

10. Compare Hero (November, 2017). The T20, M40 and B40 Income Classifications in Malaysia. Retrieved from

11. https://www.comparehero.my/blog/t20-m40-b40-malaysia.

12. Tanpure S. S., Shidankar P. R., Joshi M. M. (2013). Automated Food Ordering System with Real-Time Customer Feedback. International Journal

of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 2, pp. 220-225.

13. Khairunnisa K., Ayob J., Mohd. Helmy A. Wahab, M. ErdiAyob, M. IzwanAyob, M. AfifAyob (2009). MASAUM Journal of Computing, Volume

1 Issue 2, pp. 178-184.

14. Maind A. L., Jain U. K., Badjate S. , Batheja M., Bagrecha D. (2017). International Journal of Emerging Trends in Technology.

15. Chavan V., Jadhav P., Korade S., Teli P. (2015). Implementing Customizable Online Food Ordering System Using Web Based Application.

International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 4, pp. 722-727.

16. Malviya S.G., Nikita D. Deshpande N. D., Mahalle S. G ,Tantarpale S. (2016). A Review Paper on Smart Restaurant Ordering System.

International Journal of Scientific & Engineering Research, Vol. 7, pp. 629-632.

203-207

44.

Authors: Sarmad A. Altaie, Hala A. Hashim, Ali F. Jameel

Paper

Title:

Approximate Singularly Perturbed Boundary Value Problems Using G-Spline Based Differential Quadrature

Method

Abstract: The objective of this paper is to obtain an approximate solution to a singularly flustered boundary worth

issues involving differential equation using differential construction technique. The specific procedure of the weight

coefficients for estimation of derivatives are obtained by means of g-spline interpolation method. An illustrative

208-211

https://www.w3.org/TR/mobile-accessibility-mapping/

https://www.mannixmarketing.com/blog/google-wallet-14/

https://www.comparehero.my/blog/t20-m40-b40-malaysia

example have been analyzed and compared with the precise resolution to determine the certainty, and capability, of the

proposed technique.

Keywords: Differential Construction technique, g-spline interpolation, Singularly perturbed boundary worth issues.

References: 1. Bellman, R and Casti, J. "Differential quadrature and long-term integration," Journal of Mathematical Analysis and Applications34, no. 2 (1971):

235-238.

2. Jalaal, M, Soleimani S, Domairry G, Ghasemi,E, BararniaH, MohammadiF, and Barari A. "Numerical simulation of electric field in complex

geometries for different electrode arrangements using meshless local MQ-DQ method," Journal of Electrostatics 69, no. 3 (2011): 168-175.

3. Fangzong, W,Xiaobing, L and Xiong X. "Characteristics of the Differential Quadrature Method and Its Improvement," Mathematical Problems in

Engineering2015, (2015): 1-9.

4. Zong, Z, and Zhang, Y. Advanced differential quadrature methods, 1 ed., Boca Raton: Chapman and Hall/CRC, 2009, p. 362.

5. Shu C, Differential Quadrature and Its Application in Engineering, London: Springer, 2000, p. 340.

6. Quan,J and Chang,C. "New insights in solving distributed system equations by the quadrature method—I. Analysis," Computers & Chemical

Engineering 13, no. 7(1989): 779-788.

7. MQ,Y X, and Guo J, "A Time Finite Element Method Based on the Differential Quadrature Rule and Hamilton's Variational Principle," Applied

Sciences7, no. 2:(2017): 1-16.

8. Quan J R, and Chang C T, "New insights in solving distributed system equations by the quadrature method—II. Numerical experiments,"

Computers & Chemical Engineering13, no. 9 (1989): 1017-1024, 1989.

9. Shu, C, and Richards,B E, "Application of generalized differential quadrature to solve two‐dimensional incompressible Navier‐Stokes equations,"

International Journal for Numerical Methods in Fluids 15, no. 7(1992): 791-798.

10. Bert C W, and MalikM. “Differential Quadrature Method in Computational Mechanics: A Review," Applied Mechanics Reviews 49, no. 1(1992):

1-28.

11. Shu, C,and Xue,H. "Explicit Computation of Weighting Coefficients in The Harmonic Differential Quadrature," Journal of Sound and Vibration

204, no. 3 (1997): 549-555.

12. Shu, C, and Wu,Y L. "Integrated radial basis functions-based differential quadrature method and its performance," International Journal for

Numerical Methods in Fluids 53, no. 6 (2007): 969–984.

13. Korkmaz,A, and Dağ, I. "A differential quadrature algorithm for simulations of nonlinear Schrödinger equation," Computers & Mathematics with

Applications 56, no. 9(2008): 2222-2234.

14. Schoenberg,I J, "On the Ahlberg-Nilson extension of spline interpolation: The g-splines and their optimal properties," Journal of Mathematical

Analysis and Applications, vol. 21, no. 1, pp. 207-231, 1968.

15. Mohammed, O H, "Solving Parabolic Partial Differential Equations using Modified Bellman's Method with G-Spline Interpolation," Baghdad

Science Journal 7, no. 4 (2010): 1447-1454.

16. Mohammed, O H, Fadhel F. S, and Al-Abood, AM, "G-Spline Interpolation for Approximating The Solution of Fractional Differential Equations

Using Linear Multi-Step Methods," Journal of Al-Nahrain University 10, no. 2 (2007): 118-123.

17. Wu,H, and Zhang,JT. Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches, 1 ed.,

Hoboken, New Jersey: Wiley-Interscience, 2006, p. 402.

18. Phaneendra,K, Rakmaiah, S, and Reddy M CK.” Computational Method for Singularly Perturbed Boundary Value Problems with Dual Boundary

Layer," Procedia Engineering127, no. 2015 (2015): 370-376.

19. Lodhi,R K, and Mishra H K. "Quintic B-spline method for solving second order linear and nonlinear singularly perturbed two-point boundary

value problems," Journal of Computational and Applied Mathematics319, no. 2017 (2017):170-187.

20. Kadalbajoo, M K, and Patidar K C. "Exponentially fitted spline in compression for the numerical solution of singular perturbation problems,"

Computers & Mathematics with Applications 46, no. 5-6 (2003):751-767.

21. Khan,A, Khan, I, Aziz T, and Stojanovic,M. "A variable-mesh approximation method for singularly perturbed boundary-value problems using

cubic spline in tension," International Journal of Computer Mathematics, 81, no. 12 (2004): 1513-1518.

45.

Authors: Suhartono, Bahagiati Maghfiroh, Santi Puteri Rahayu

Paper

Title: Hybrid VARX-SVR and GSTARX-SVR for Forecasting Spatio-Temporal Data

Abstract: Generalized Space-Time Autoregressive or GSTAR model is a special form of Vector Autoregressive or

VAR model and commonly used for forecasting spatio-temporal data. The objective of this study is to propose hybrid

spatio-temporal methods by applying Support Vector Regression or SVR as a nonlinear machine learning method in

two representations model, i.e. as VAR or GSTAR with exogenous variables known as VARX or GSTARX,

respectively. These two proposed hybrid methods are then known as VARX-SVR and GSTARX-SVR model. These

models consist of two steps modelling, i.e. the first step is modelling of trend, seasonal, and calendar variation effects

using time series regression, and the residual of this first step is modelled by VARX-SVR and GSTARX-SVR in the

second step. Both simulation and real data about inflow and outflow currency in three location of Bank Indonesia at

West Java region are used as case studies. The results of simulation study show that both the proposed VARX-SVR and

GSTARX-SVR models yield more accurate forecast in testing dataset than VARX and GSTARX. Furthermore, the

results of real data showed that VARX is the best model for forecasting outflow in three locations and inflow in two

locations. Meanwhile, GSTARX-SVR is the best model for forecasting inflow at one location of Bank Indonesia at Wes

Java region. In general, these results in accordance with the third M3 forecasting competition conclusion, i.e. the more

complicated model do not necessary yield better forecast than the simpler one.

Keywords: GSTARX, VARX, SVR, Inflow, Outflow

References: 1. Suhartono, Prastyo, D.D., Kuswanto, H., & Lee, M.H. (2018). Comparison between VAR, GSTAR, FFNN-VAR and FFNN-GSTAR Models for

Forecasting Oil Production. MATEMATIKA. Vol. 34(1), pp. 103-11.

2. Prayoga, I.G.S.A., Suhartono, Rahayu, S.P. (2017). Top-Down Forecasting for High Dimensional Currency Circulation Data of Bank Indonesia.

International Journal of Advances in Soft Computing and its Applications. Vol. 9(2), pp. 62-74.

3. Zhang, G. (2003). Time Series Forecasting Using a Hybrid ARIMA and Neural Network Model. Neurocomputing. Vol.50, pp. 159-175.

4. Guo, J., Yi, P., Wang, R., Ye, Q., &Zhao, C.(2014). Feature Selection for Least Square Projection Twin Support Vector Machine.

Neurocomputing. Vol. 14, pp. 174-183.

5. Suhartono,Wahyuningrum, S.R., Setiawan, Akbar, M.S. (2016). GSTARX-GLS Model for Spatio-Temporal Data Forecasting. Malaysian

212-218

https://www.scopus.com/authid/detail.uri?origin=AuthorProfile&authorId=57194339186&zone=



https://www.scopus.com/record/display.uri?eid=2-s2.0-85025177600&origin=resultslist&sort=plf-f&src=s&sid=32cf07c24ae5c772d170b6d00e6d6d68&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2834980102200%29&relpos=4&citeCnt=0&searchTerm=

Journal of Mathematical Sciences, Vol. 10(S), pp. 91-103.

6. Setiawan,Suhartono,&Prastuti, M. (2016). S-GSTAR-SUR model for seasonal spatio temporal data forecasting. Malaysian Journal of

Mathematical Sciences. Vol. 10(S), pp.53-65.

7. Makridakis, S., & Hibon, M. (2000). The M3-Competition: Results, Conclusions and Implications. International Journal of Forecasting. Vol.

16(4), pp. 451-476.

8. Makridakis, S., Spiliotis, E.&Assimakopoulos, V. (2018). The M4 Competition: Results, findings, conclusion and way forward. International

Journal of Forecasting. [Forthcoming]

46.

Authors: Nur-adib Maspo, Aizul Nahar Harun, Masafumi Goto, Mohd Nasrun Mohd Nawi,

Nuzul Azam Haron

Paper

Title: Development of Internet of Thing (IoT) Technology for flood Prediction and Early Warning System (EWS)

Abstract: Flood is the most significant disaster happened in almost every part of the world. When the event occurred,

it causes great losses in economic and human life. Implementation of the advancement of ICT brings significant

contribution to reduce the impact of flood toward the people and properties. This paper attempts to investigate the

capability of internet of things (IoT) technology in reducing the impact of natural disaster specifically in flood disaster

scenario. First, the concept of Internet of Things (IoT), key technologies and its architecture are discussed. Second,

related research work on IoT in disaster context will be discussed. Third, further discussion on the propose Internet of

Things (IoT) architecture and key components in the development of flood prediction and early warning system. The

smart sensors will be placed at river basin for real-time data collection on flood related parameter such as rainfall, river

flaw, water level, temperature, wind direction and so on. The data will be transmitted to data centre via wireless

communication technology which will be processed and measured on the cloud service, then the alert information will

be sent users via smart phone. Thus, early warning message is received by the people in terms of location, time and

other parameters relate to flood.

Keywords: Flood prediction, flood disaster, early warning system, Internet of Things (IoT), wireless sensor network.

References: 1. Alphonsa, A., and Ravi, G. (2016). Earthquake early warning system by IOT using Wireless sensor networks. Paper presented at the Wireless

Communications, Signal Processing and Networking (WiSPNET), International Conference on, 1201-1205.

2. Amendola, S., Lodato, R., Manzari, S., Occhiuzzi, C., and Marrocco, G. (2014). RFID technology for IoT-based personal healthcare in smart

spaces. IEEE Internet of Things Journal, 1(2), 144-152.

3. Atzori, L., Iera, A., and Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787-2805.

4. Catarinucci, L., De Donno, D., Mainetti, L., Palano, L., Patrono, L., Stefanizzi, M. L., et al. (2015). An IoT-aware architecture for smart

healthcare systems. IEEE Internet of Things Journal, 2(6), 515-526.

5. Chen, X.-Y., and Jin, Z.-G. (2012). Research on key technology and applications for internet of things. Physics Procedia, 33, 561-566.

6. Christin, D., Reinhardt, A., Mogre, P. S., and Steinmetz, R. (2009). Wireless sensor networks and the internet of things: selected challenges.

Proceedings of the 8th GI/ITG KuVS Fachgespräch Drahtlose sensornetze, 31-34.

7. Deak, G., Curran, K., Condell, J., Asimakopoulou, E., and Bessis, N. (2013). IoTs (Internet of Things) and DfPL (Device-free Passive

Localisation) in a disaster management scenario. Simulation Modelling Practice and Theory, 35, 86-96.

8. Dersingh, A. (2016). Design and development of a flood warning system via mobile and computer networks. Paper presented at the Electronics,

Information, and Communications (ICEIC), 2016 International Conference on, 1-4.

9. Dlodlo, N., and Kalezhi, J. (2015). The internet of things in agriculture for sustainable rural development. Paper presented at the Emerging Trends

in Networks and Computer Communications (ETNCC), 2015 International Conference on, 13-18.

10. Doukas, C., and Maglogiannis, I. (2012). Bringing IoT and cloud computing towards pervasive healthcare. Paper presented at the Innovative

Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on, 922-926.

11. Dubey, R., Luo, Z., Xu, M., and Wamba, S. F. (2015). Developing an Integration Framework for Crowdsourcing and Internet of Things with

Applications for Disaster Response. Paper presented at the Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International

Conference on, 520-524.

12. Fang, S., Da Xu, L., Zhu, Y., Ahati, J., Pei, H., Yan, J., et al. (2014). An integrated system for regional environmental monitoring and

management based on internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1596-1605.

13. Gangopadhyay, S., and Mondal, M. K. (2016). A wireless framework for environmental monitoring and instant response alert. Paper presented at

the Microelectronics, Computing and Communications (MicroCom), 2016 International Conference on, 1-6.

14. Giorgetti, A., Lucchi, M., Tavelli, E., Barla, M., Gigli, G., Casagli, N., et al. (2016). A robust wireless sensor network for landslide risk analysis:

system design, deployment, and field testing. IEEE Sensors Journal, 16(16), 6374-6386.

15. Goel, S. (2006). Encyclopaedia of Disaster Management: Disaster management, policy, and administration: Deept & Deep Publications.

16. Grado-Caffaro, M., Grado-Caffaro, M., and Ebrahimi, M. S. (2011). Some comments on wireless sensor networks for natural hazards. Paper

presented at the Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief, 315-322.

17. Harun, A. N., and Bichard, E. (2015). Supporting environmental surveillance on construction sites using mobile environmental information

system. International Journal of Engineering Research & Technology, 4(3).

18. Hernández-Nolasco, J. A., Ovando, M. A. W., Acosta, F. D., and Pancardo, P. (2016). Water level meter for alerting population about floods.

Paper presented at the Advanced Information Networking and Applications (AINA), 2016 IEEE 30th International Conference on, 879-884.

19. Hribernik, K. A., Warden, T., Thoben, K.-D., and Herzog, O. (2010). An internet of things for transport logistics–an approach to connecting the

information and material flows in autonomous cooperating logistics processes. Paper presented at the Proceedings of the 12th international MITIP

conference on information technology & innovation processes of the enterprises, 54-67.

20. Jara, A. J., Zamora-Izquierdo, M. A., and Skarmeta, A. F. (2013). Interconnection framework for mHealth and remote monitoring based on the

internet of things. IEEE Journal on Selected Areas in Communications, 31(9), 47-65.

21. Jayaraman, P. P., Palmer, D., Zaslavsky, A., and Georgakopoulos, D. (2015). Do-it-Yourself Digital Agriculture applications with semantically

enhanced IoT platform. Paper presented at the Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth

International Conference on, 1-6.

22. Jin, J., Gubbi, J., Marusic, S., and Palaniswami, M. (2014). An information framework for creating a smart city through internet of things. IEEE

Internet of Things Journal, 1(2), 112-121.

23. Karakostas, B. (2013). A DNS architecture for the internet of things: A case study in transport logistics. Procedia Computer Science, 19, 594-601.

24. Kelly, S. D. T., Suryadevara, N. K., and Mukhopadhyay, S. C. (2013). Towards the implementation of IoT for environmental condition

monitoring in homes. IEEE Sensors Journal, 13(10), 3846-3853.

25. Khan, R., Khan, S. U., Zaheer, R., and Khan, S. (2012). Future internet: the internet of things architecture, possible applications and key

challenges. Paper presented at the Frontiers of Information Technology (FIT), 2012 10th International Conference on, 257-260.

26. Khan, Z., Anjum, A., and Kiani, S. L. (2013). Cloud based big data analytics for smart future cities. Paper presented at the Proceedings of the

219-228

2013 IEEE/ACM 6th international conference on utility and cloud computing, 381-386.

27. Lazarescu, M. T. (2013). Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE Journal on Emerging and

Selected Topics in Circuits and Systems, 3(1), 45-54.

28. Liaw, D. C., and Lin, T. H. (2013). Development of an Internet of Civil Infrastructure Framework. Paper presented at the Advanced Materials

Research, 583-587.

29. Lin, T.-H., and Liaw, D.-C. (2015). Development of an intelligent disaster information-integrated platform for radiation monitoring. Natural

Hazards, 76(3), 1711-1725.

30. MMD. (2017). Automatic weather system. Retrieved 22 May 2017, from

http://www.met.gov.my/web/metmalaysia/education/weather/weatherinstruments

31. Mohamed Shaluf, I., and Ahmadun, F. l.-R. (2006). Disaster types in Malaysia: an overview. Disaster Prevention and Management: An

International Journal, 15(2), 286-298.

32. Niu, M., Zhu, S., Du, C., Yang, N., and Xu, W. (2012). Study and application of typical disaster monitoring and early warning system in metal

mine. Procedia Engineering, 45, 125-130.

33. Ojha, T., Misra, S., and Raghuwanshi, N. S. (2015). Wireless sensor networks for agriculture: The state-of-the-art in practice and future

challenges. Computers and Electronics in Agriculture, 118, 66-84.

34. Perera, C., Liu, C. H., and Jayawardena, S. (2015). The emerging internet of things marketplace from an industrial perspective: A survey. IEEE

Transactions on Emerging Topics in Computing, 3(4), 585-598.

35. Perumal, T., Sulaiman, M. N., and Leong, C. (2015). Internet of Things (IoT) enabled water monitoring system. Paper presented at the Consumer

Electronics (GCCE), 2015 IEEE 4th Global Conference on, 86-87.

36. Poslad, S. (2011). Ubiquitous computing: smart devices, environments and interactions: John Wiley & Sons.

37. Said, O., and Masud, M. (2013). Towards internet of things: Survey and future vision. International Journal of Computer Networks (IJCN), 5(1),

1-17.

38. Shan, P., Wang, C., and Deng, H. (2017). Technical systems of ecological and environmental monitoring associated with large-scale coal-fired

power plants: case study in Xilingol, Inner Mongolia. International Journal of Sustainable Development & World Ecology, 1-6.

39. Shi-yong, J., Fei, W., Jing-fu, B., and Ting, Y. (2012). Geological disaster monitoring system based on WSN and GSM dual-network integration

technology. Paper presented at the Communication Technology (ICCT), 2012 IEEE 14th International Conference on, 374-379.

40. Soumyalatha, S. G. H. Study of IoT: Understanding IoT Architecture, Applications, Issues and Challenges.

41. Sun, C. (2012). Application of RFID technology for logistics on internet of things. AASRI Procedia, 1, 106-111.

42. Sundmaeker, H., Guillemin, P., Friess, P., and Woelfflé, S. (2010). Vision and challenges for realising the Internet of Things. Cluster of European

Research Projects on the Internet of Things, European Commision.

43. Tan, L., and Wang, N. (2010). Future internet: The internet of things. Paper presented at the Advanced Computer Theory and Engineering

(ICACTE), 2010 3rd International Conference on, V5-376-V375-380.

44. Tao, F., Zuo, Y., Da Xu, L., and Zhang, L. (2014). IoT-based intelligent perception and access of manufacturing resource toward cloud

manufacturing. IEEE Transactions on Industrial Informatics, 10(2), 1547-1557.

45. TongKe, F. (2013). Smart agriculture based on cloud computing and IOT. Journal of Convergence Information Technology, 8(2).

46. Tsai, C.-W., Lai, C.-F., and Vasilakos, A. V. (2014). Future Internet of Things: open issues and challenges. Wireless Networks, 20(8), 2201-2217.

47. Vermesan, O., and Friess, P. (2016). Digitising the Industry-Internet of Things Connecting the Physical, Digital and Virtual Worlds.

48. Wu, M., Lu, T.-J., Ling, F.-Y., Sun, J., and Du, H.-Y. (2010). Research on the architecture of Internet of things. Paper presented at the Advanced

Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on, V5-484-V485-487.

49. Zeng, C. P. (2014). Mountain Torrent Disaster Monitoring and Early-Warning System Based on Internet of Things. Paper presented at the

Applied Mechanics and Materials, 577-580.

50. Zhang, Y.-c., and Yu, J. (2013). A study on the fire IOT development strategy. Procedia Engineering, 52, 314-319.

51. Zhu, G., Tian, Y., Zhou, Y., and Dong, R. (2017). Technical configurations of the Internet of Things for environmental monitoring at large-scale

coal-fired power plants. International Journal of Sustainable Development & World Ecology, 24(5), 450-455.

47.

Authors: Noraziah ChePa, Wan Ahmad Jaafar Wan Yahaya, Nur Intan Syafiqah Abdullah

Paper

Title: Enhancing Digital Congkak with Rewards

Abstract: Realizing that traditional games are nearly forgotten and going extinct, effort has been made to digitize the

original versions. One of them is the traditional Congkak. Although many digital versions of Congkak are available on

different platforms, none has incorporated rewards as one of the features. This study focuses on incorporating rewards

in digital Congkak. Experiments were conducted involving 40 gamers among the millennials. The enhanced digital

Congkak and self-administered questionnaire were used as the tools in the experiment. Findings suggested that rewards

have enhanced the game, managed to attract players to play and keep playing, hence making the game stand out from

the crowd.

Keywords: Digital Congkak, digital games, game rewards, games engagement.

References: 1. Amon, R., (2016), The Value of Rewards: Exploring World of Warcraft for Gamification Design, Proceeding of the 2016 Annual Symposium on

Computer-Human Interaction in Play Companion Extended Abstract – CHI PLAY Companion 16.

2. doi:10.1145/22968120.29877221

3. ChePa, N., Alwi, A., Din, A. M., & Safwan, M. (2013, August). The Application of Neural Network and Min-Max Algorithm in Digital Congkak.

In Proc. of the 4th International Conference on Computing and Informatics (ICOCI 2013), Kuching, Malaysia.

4. ChePa, N., Bakar, N. A.A., Mohd, A., (2015), Usability Evaluation of Digital Malaysian Traditional Games, Jurnal Teknologi, Vol 77, No 29,

page 85-90, eISSN 2180-372

5. ChePa, N., & Yahaya, W. A. J., (2017), Reality and Challenges of Malaysian Digital Traditional Games, Journal of Engineering Science and

Technology (JESTEC), Special Issue on ISSC’2016, April (2017), ISSN: 1823-4690, pp. 209 - 218

6. Doughty, S., (2015), Children Who Don't Know How To Play Cards: Games Are Dying Out Because Of Rise Of Computers And Social Media,

retrieved on 30th June 2017 from

7. http://www.dailymail.co.uk/news/article-3136676/Children-don-t-know-play-cards-Games-dying-rise-computers-social-media.html

8. Wang, H., & Sun, C. T. (2011, September). Game Reward Systems: Gaming Experiences And Social Meanings. In Proceedings of DiGRA 2011

Conference: Think Design Play (pp. 1-12).

9. J L, (2016), "Game Reward Systems," in Learning Theories, January 15, 2016, retrieved from https://www.learning-theories.com/game-reward-

systems.html

10. Mohamad, A. F. H., Supian, J. J. M., & Ribuan, M. S. M. (2016, January). Digital Congkak: The Art, Play and Experience Framework.

In Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication IMCOM '16 (p. 88), January

04-06, 2016, Danang, VietNam, ACM. ISBN 978-1-4503-4142-4/16/01, DOI: http://dx.doi.org/10.1145/2857546.2857636

11. Phillips, C., Johnson, D., and Wyeth, P., (2013), Videogame Reward Types. In Proceedings of the First International Conference on Gameful

229-235

http://www.met.gov.my/web/metmalaysia/education/weather/weatherinstruments

http://dx.doi.org/10.1145/2857546.2857636

Design, Research, and Applications (Gamification '13), 103-106. http://dx.doi.org/10.1145/2583008.2583025

12. Ruiz Jr, C. R., Salimi, N. H., Chodnok, S., & Ha, P. T. (2009, August). Exploring Traditional Art And Culture In Modern Computer Games.

In INC, IMS and IDC, 2009. NCM'09. Fifth International Joint Conference on (pp. 1311-1316). IEEE.

13. Shamsul, B., A., M., (2015), Congkak Game, retrieved from https://play.google.com/store/apps/details?id=net.sbahrin&hl=en

14. Siu, K., & Riedl, M. O. (2016). Reward Systems in Human Computation Games. Proceedings of the 2016 Annual Symposium on Computer-

Human Interaction in Play - CHI PLAY '16.

15. doi:10.1145/2967934.2968083

16. Wilson, M., & Gerber, L. E. (2008). How Generational Theory Can Improve Teaching: Strategies For Working With The Millennials. Currents in

teaching and learning, 1(1), 29-44.

17. Yaakub, R., (1981). Revival of Congkak.The Strait Times, National Library Board, Singapore.NewspaperSingapore. retrieved on 3.4.2011 from

http://newspapers.nl.sg/Digitised/Article/straitstimes19811006.2.130.6.1.aspx

18. E. H. Miller, “A note on reflector arrays (Periodical style—Accepted for publication),” IEEE Trans. Antennas Propagat., to be published.

19. J. Wang, “Fundamentals of erbium-doped fiber amplifiers arrays (Periodical style—Submitted for publication),” IEEE J. Quantum Electron.,

submitted for publication.

20. C. J. Kaufman, Rocky Mountain Research Lab., Boulder, CO, private communication, May 1995.

21. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interfaces

(Translation Journals style),” IEEE Transl. J. Magn.Jpn., vol. 2, Aug. 1987, pp. 740–741 [Dig. 9th Annu. Conf. Magnetics Japan, 1982, p. 301].

22. M. Young, The Techincal Writers Handbook. Mill Valley, CA: University Science, 1989.

23. J. U. Duncombe, “Infrared navigation—Part I: An assessment of feasibility (Periodical style),” IEEE Trans. Electron Devices, vol. ED-11, pp.

34–39, Jan. 1959.

24. S. Chen, B. Mulgrew, and P. M. Grant, “A clustering technique for digital communications channel equalization using radial basis function

networks,” IEEE Trans. Neural Networks, vol. 4, pp. 570–578, Jul. 1993.

25. R. W. Lucky, “Automatic equalization for digital communication,” Bell Syst. Tech. J., vol. 44, no. 4, pp. 547–588, Apr. 1965.

26. S. P. Bingulac, “On the compatibility of adaptive controllers (Published Conference Proceedings style),” in Proc. 4th Annu. Allerton Conf.

Circuits and Systems Theory, New York, 1994, pp. 8–16.

27. G. R. Faulhaber, “Design of service systems with priority reservation,” in Conf. Rec. 1995 IEEE Int. Conf. Communications, pp. 3–8.

28. W. D. Doyle, “Magnetization reversal in films with biaxial anisotropy,” in 1987 Proc. INTERMAG Conf., pp. 2.2-1–2.2-6.

29. G. W. Juette and L. E. Zeffanella, “Radio noise currents n short sections on bundle conductors (Presented Conference Paper style),”

48.

Authors: C. Rajendran, S.Anudeep, R.Ajith

Paper Title: Influences of Welding Speed on Mechanical Properties of Friction Stir Welded Joints of AA2014-T6

Aluminium Alloy

Abstract: The current work is concentrated on the influence of traverse speed on mechanical properties of Al alloy

(AA2014), by trailing one of the process parameters and while others were kept constant. The joint fabricated from a

rotational speed of 1500 rpm, welding speed of 40 mm/min, shoulder diameter of 6 mm and tilt angle of 1.5º yielded

superior tensile strength compared to their counter joints. Due to the formation of defect-free, balanced material flow,

uniform distribution of precipitates in the processed region.

Keywords: Al-Cu alloy, FSW, Traverse speed, Microstructure, Tensile strength.

References: 1. Dietrich D, Nickel D, Krause M Formation of intermetallic phases in diffusion welded joints of aluminium and magnesium alloys. J Mater

Sci.46(2011):357–64.

2. Mishraa RS, Ma ZYFrictions stir welding and processing. Mater Sci Eng.50(2005), 1–78.

3. Nandan R, DebRoy T, Bhadeshia HKDH Recent advances in friction-stir welding-process, Weldment structure and properties. Prog Mater Sci.

53(2008),980–1023.

4. Scialpi A, De Filippis LAC, Cavaliere P Influence of shoulder geometry on microstructure and mechanical properties of friction stir welded 6082

aluminum alloy. Mater Des., 28(2007),1124–9.

5. Xu WF, Liu JH, Luan GH, Dong CL, Temperature evolution, microstructure and mechanical properties of friction stir welded thick 2219-O

aluminum alloy joints. Mater Des 2009; 30: 1886–93.

6. Genevois C, Deschamps A, Denquin A, Doisneau-coottignies B, Quantitative investigation of Precipitation and mechanical behavior for AA2024

friction stir welds. Acta Mater, 53(2005): 2447–58.

7. Upadhyay P, Reynolds AP, Effects of thermal boundary conditions in friction stir welded AA7050-T7 sheets. Mater Sci. Eng. A, 2010,

527: 1537–43.

8. Fu RD, Sun ZQ, Sun RC, Li Y, Liu HJ, Lei L, Improvement of weld temperature distribution and mechanical properties of 7050 aluminum alloy

butt joints by submerged friction stir welding. Mater. Des., 2011, 32: 4825–31.

9. Mofid MA, Abdollah-zadeh A, Malek Ghaini F, The effects of water cooling during dissimilar friction stir welding of Al alloy to Mg alloy. Mater

Des. 2012, 36: 161–7.

10. Zettler R (2006) Dissimilar Al to Mg alloy friction stir welds. Adv Eng Mater; 8:415–21.

11. McLean AA, Powell GLF, Brown IH, Linton VM, Friction stir welding of magnesium alloy AZ31B to aluminum alloy 5083. Sci. Tech. Weld

Join, 2003, 8: 462–4.

12. Fei Zhang, , Xuekuan Su , Ziyong Chen, Zuoren Niec, Effect of welding parameters on microstructure and mechanical properties of friction stir

welded joints of a super high strength Al–Zn–Mg–Cu aluminum alloy, Materials & Design, 2015, 67, 483-491

13. Heurtier P, Desrayaud C, Montheillet F, Mater Sci Forum, 2002,1537, 396–402:

14. Babu S, Janaki Ram, G. D., Venkitakrishnan, P. V., Madhusudhan Reddy, G. D., and Prasad Rao, K.,Microstructure and Mechanical Properties of

Friction Stir Lap Welded Aluminum Alloy AA2014, Material Science & Technology, 2012, 28(5), 414-426

15. Rajakumar S, Muralidharan C, Balasubramanian V, Establishing empirical relationship to predict the grain size and tensile strength of friction stir

welded AA6061-T6 aluminum alloy joints, Trans. non. ferr. met. soc. china,2010, 20,1863-72.

16. Liu HJ, Zhang HJ, Yu L, Effect of welding speed on microstructural and mechanical properties of underwater friction stir welding AA2219,

Mater Des. 2011,32:1548-1553.

17. Kumar K Kailas S V, (2008) The role of friction stir welding tool on material flow and weld formation Mater. Sci. Eng. A, 2008,485 367–374.

18. Ma Z.Y., S.R. Sharma and R.S Mishra: Scripta Mater.,2006,54, 1623.

19. Xu W. Liu J, Luan G, Dong C,Temperature evaluation, microstructure and mechanical properties of friction stir welded thick 2219-O aluminum

alloy joints, Mater. Des.2009, 1886-93

236-241

49.

Authors: Babu Narayanan, S.M.Vinukumar, M.Lokesh, P. Muthu Ezhilan, R. Manoj Kumar

Paper

Title:

Effect of Input Process Parameter on the Adhesion Wear Characteristics of Ti-3Al-2.5V Alloy: A Statistical

Approach

Abstract: Current study focused on the effect of process variables namely normal load, sliding velocity, and sliding 242-247

http://www.sciencedirect.com/science/article/pii/S0261306914008437




http://www.sciencedirect.com/science/journal/02613069

distance on wear characteristics of Ti-3Al-2.5V alloy. Wear study has been accomplished through pin on disc method in

order to determine the specific wear rate of the titanium alloy. A central composite design (CCD) and ANOVA

technique was performed to ascertain an outcome of process parameters on specific wear rate. The worn out samples

were analyzed using scanning electron microscope (SEM). Study results indicated that amongst process variables,

normal load is the most significant factor that influences the dry sliding wear behaviour of the alloy. however, wear rate

of the alloy found to be increases with increasing the normal load and sliding velocity. Microstructure study explained

the possible mechanism resulting in the behavior of the alloys.

Keywords: Titanium Alloy, Specific wear rate, RSM, SEM

References: 1. Miller PD, Holladay JW,”Friction and wear properties of titanium”, Wear. 1958; 2:133–140.

2. Rigney DA,” Comments on the sliding wear of metals”, Tribology International. 1997; 5:361–367.

3. Molinari A, Straffelini G, Tesi B, et al. “Dry Sliding Wear Mechanism of the Ti-6Al-4V Alloy”. Wear.1997; 208:105–112.

4. Alam MO, Haseeb ASMA,”Response of Ti-6Al-4V and Ti-24Al-11Nb Alloys to Dry Sliding Wear against Hardened Steel”, Tribology

International.2002; 35:357–362.

5. Ming Q, Youngzhen Z, Jun Z, “Dry Friction Characteristics of Ti-6Al-4V Alloy under High Sliding Velocity”, Journal of Wuhan University of

Technology - Material Science.2007; 22:582–585.

6. Chen KM, Zhang QY, Li XX, “Comparative Study of Wear Behaviors of a Selected Titanium Alloy and AISI H13 Steel as a Function of

Temperature and Load”. Tribology Transactions.2013; 57(5):838–845.

7. Chauhan SR, Kali Dass,”Dry Sliding Wear Behaviour of Titanium (Grade 5) Alloy by Using Response Surface Methodology”. Advances in

Tribology. 2013.

8. Sahoo R, Jha BB, Sahoo TK.,” Experimental Study on the Effect of Microstructure on Dry Sliding Wear Behaviour of Titanium Alloy Using

Taguchi Experimental Design”,Tribology Transactions. 2014; 57(2):216–224.

9. Sharma MD, Sehgal R,”Tribological behaviour of Ti-3Al-2.5V alloy sliding against EN-31 steel under dry condition”, Tribology

Transactions.2015.

10. Sharma MD, Sehgal R,” Modeling and Optimization of Friction and Wear Characteristics of Ti-3Al-2.5V alloy under dry sliding condition”,

Journal of Tribology.2016; 138: 031603 (1-17).

50.

Authors: Rajalakshmy .P, Subha Hency Jose .P, Thilagavathy.B

Paper

Title: Development of Magnetic Levitation System

Abstract: A Magnetic Levitation System is considered to be a classical control problem due to its inherent non-

linearity which makes it a bench mark to test the efficacy of any control algorithm. Hence, it is highly challenging to

design a control system to maintain the system stable. Applications of these systems range from high speed rail

transportation to various industrial applications like magnetically levitated wind turbines. Based on an extensive

literature survey of the existing methodologies adopted to control such systems, an attempt to develop an embedded

implementation of the system is proposed. In order to levitate an object of desired mass and at a desired distance an

electromagnet with ample magnetizing force is designed. A driver board is used to drive current to the electromagnet

based on the closed-loop feedback signal from a Hall Effect sensor through a microcontroller so as to levitate the object

at a desired distance. The system is further stabilized using a lead compensator. Also a PID controller is implemented as

an alternate method for achieving levitation.

Keywords: Magnetic levitation, Hall Effect Sensor, PID Controller.

References: 1. Andri Rahmadhani, Dian Purnama, Pipit Fitriani, Puguh Andik P, Septi Cahya Widianti - The Effect of Duty Cycle on Distance of Levitated

Object in a Simple Microcontroller Based Magnetic Levitator.

2. Farhat Rashid, Athar Hanif, Abdul Rehman Yasin and Raheel Kamran Magnetic Levitation System: A Low Cost Experimental Setup for

Undergraduate Control Systems Laboratory , Department of Electrical Engineering, The University of Lahore, Lahore, Pakistan

3. S.Sheeba Rani, R.Maheswari, V.Gomathy and P.Sharmila “Iot driven vehicle license plate extraction approach” in International Journal of

Engineering and Technology(IJET) , Volume.7, pp 457-459, April 2018

4. Guy Marsden - Magnetic Levitation Kit, ART TEC, Woolwich

5. Ishtiaq Ahmad, Muhammad Akram Javaid - Nonlinear Model & Controller Design for Magnetic Levitation System, University of Engineering &

Technology, Taxila, Pakistan-2011

6. Engr. Lubna Moin, Dr. Vali Uddin - Design and Simulation of Model Based System Using Real Time Windows, University of Science and

Technology, Karachi, Pakistan-2011

7. Mária Hypiusová and Jakub Osuský - Pid Controller Design For Magnetic Levitation Model , Institute of Control and Industrial Informatics,

Faculty of Electrical Engineering and Information Technology, Slovak University of Technology Ilkovičova 3, 812 19 Bratislava, Slovak

Republic

8. R.Maheswari, S.Sheeba Rani, V.Gomathy and P.Sharmila,“Real Time Environment Simulation through Virtual Reality” in International Journal

of Engineering and Technology(IJET) , Volume.7, No.7, pp 404-406, April 2018

9. Tania Tariq Salim ,Vedat Mehmet Karsli - Control of Single Axis Magnetic Levitation System Using Fuzzy Logic Control, University of

Gaziantep, Gaziantep,Turkey-2013

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51.

Authors: Athira Gopal, Haricharann D V, A Harikoushik, Ambrish V, Vineeth VV

Paper

Title: Automatic Speed Surveillance and Vehicle Alerting System using Internet of Things (IoT)

Abstract: With the number of vehicles increasing day by day monitor report equally increasing traffic violation of

speed limits, the numbers of accidents that are caused because of the speeding have increased at an exponential rate.

There are existing law enforcements that do condemn these activities, but the human nature tends to break those. With

an autonomous and automated system to regulate the Speed control by taking the advantages of advancements in

technologies available can help to bring down the violations of law and thereby bringing the law enforcements at a

stricter fashion. Automatic Speed Surveillance and Vehicle Alerting System Using Internet of Things (IoT) makes it

easy for the Law enforcers to make the riders to follow the rules in a more permissive way without affecting the flow of

252-255

traffic and the ride. Connected with Radio Frequency Identification and Wi-Fi with a Controller, the system, when

implemented can bring down the speeding problem, with the controls lying on human hand for more accurate and real-

time traffic monitoring, thereby not affecting the flow of traffic too. An Indigenous surveillance and alerting system

autonomously files the reports when the limits are crossed, making the process of penalizing more sophisticated,

thereby exploiting the full potential of the system.

Keywords: Speed Surveillance, Internet of Things (IoT), Speed Control.

References: 1. Jyothi Kameswari , M. Satwik, A. Lokesh and G. Venkateswara Reddy., “A Design Model for Automatic Vehicle Speed Controller” -

International Journal of Computer Applications (0975 – 8887) Volume 35– No.9, December 2011

2. Hua Chen, Lin Liu, Yu Zhang, Yantao Tian, “Adaptive Speed Control of Autonomous Vehicle under Changing Operation Conditions” 36th

Chinese Control Conference, 2017, Dalian, China.

3. D. A. Torse, Abhishek S Sutar, Pavan Andagi, Mukund Hanamshet, Mahesh Talwar,” Speed Control of Vehicle Using Voice Commands”,

International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 02, Issue 06, June– 2015.

4. Ruikar M. National statistics of road traffic accident in India. J Orthop Traumatol Rehabil 2013.

5. Jiandong Guo, Longlong Song and Pei Zheng, Hohhot Vocational College, Hohhot, China, “Simulation and Research of Driving Motor Speed

Control System for Electric Vehicle” - International Conference on Sustainable Energy and Environmental Engineering (SEEE 2015).

6. Shih-Nan Lu, Hsien-Wei Tseng, Yang-Han Lee, Yih-Guang Jan and Wei-Chen Lee, Department of Electrical Engineering, Tamkang University,

Tamsui, Taiwan 251, R.O.C, “Intelligent Safety Warning and Alert System for Car Driving” - Tamkang Journal of Science and Engineering, Vol.

13, No. 4, 2010.

7. Avvaru Subramanyam, K.Satyajesh, L.Bharhav Kumar, “High Way Vehicle Speed Control & Automatic Breaking System” - IOSR Journal of

Electronics and Communication Engineering (IOSR-JECE) Volume 9, Issue 3 (May - Jun. 2014).

8. A.Vengadesh , K.Sekar, “AUTOMATIC SPEED CONTROL OF VEHICLE IN RESTRICTED AREAS USING RF AND GSM” - International

Research Journal of Engineering and Technology (IRJET) Volume: 02 Issue: 09 | Dec-2015.

9. Tom Igoe, Getting Started with RFID: Identify Objects in the Physical World.



11. Ranjeethapriya K, Susila N, Granty Regina Elwin, Balakrishnan S, “Raspberry Pi Based Intrusion Detection System”, International Journal of

Pure and Applied Mathematics, Volume 119, No. 12, 2018, pp.1197-1205.

12. K. Dasaradharami Reddy, S. Mohanraju, Dr.A. Jebaraj Ratnakumar, Dr.S. Balakrishnan, “Querying and Searching of Friendship Selection in the

Social IoT, Jour of Adv Research in Dynamical & Control Systems. Vol.10, 11-Special issue, 2018, pp. 910- 914.

13. V. Anandkumar, Kalaiarasan T R, S.Balakrishnan, “IoT Based Soil Analysis and Irrigation System”, International Journal of Pure and Applied

Mathematics, Volume 119, No. 12, 2018, pp.1127-1134.

14. A. Jebaraj Ratnakumar, S. Balakrishnan, S.Sheeba Rani, V.Gomathi, “A Machine Learning Based IOT Device for E-Health Monitoring In a

Cloud Environment”, Invest Clin. Vol. 58, issue 3, pp. 287-299, 2017.

15. S. Balakrishnan, A. Jebaraj Rathnakumar and K. N. Sivabalan, “Information Security in D-Media (Digital Media)”, ARPN Journal of Engineering

and Applied Sciences. May 2016, Vol. 11, No. 9, pp. 5707- 5710.

16. S.Balakrishnan, Vinod K, B. Shaji. (2018). “Secured and Energy Efficient AODV Routing Protocol For Wireless Sensor Network”, International

Journal of Pure and Applied Mathematics, Vol. 119, No. 10c, 2018, pp. 563-570.

17. S.Balakrishnan, J.P.Ananth, L.Ramanathan, S.P.Premnath, (2018). “An Adaptive Energy Efficient Data Gathering In Wireless Sensor

Networks”, International Journal of Pure and Applied Mathematics, Volume 118 No. 21, 2018, pp. 2501-2510.

18. J.P.Ananth, S.Balakrishnan, S.P.Premnath, (2018). “Logo Based Pattern Matching Algorithm for Intrusion Detection System in Wireless Sensor

Network”, International Journal of Pure and Applied Mathematics, Volume 119, No. 12, 2018, pp. 753-762.

52.

Authors: A.Sruthi, K.C Ramya, S.Sivarajani, G.RadhaKrishnan, R.Divya

Paper

Title: Continuous Fault Identification and Isolation in Small Scale Industries Using Lab View

Abstract: The fault occurred in the distribution lines of small scale industries should be checked manually to find out

the exact line with fault. The manually checking of fault line minimizes the production of loads and increase the time

and maintenance cost. In the proposed method, by continuous monitoring, the system detects the fault in the lines and

indicates the position where the fault has occurred and the line with fault is isolated and displayed using Lab VIEW.

This method to identify the fault line minimizes time and maintenance cost

Keywords: Distribution line, Line Fault, Isolation of line.

References: 1. AlirezaFereidunian, AlirezaShahsavari, Hamid Lesani, Mahdi Mazhari and Seyed ,(2014) “Fault Indicator Deployment in Distribution Systems

Considering Available Control and Protection Devices: A Multi-Objective Formulation Approach”, IEEE TRANSACTIONSON POWER

SYSTEMS,VOL.29, NO.5.

2. He,Y. (2002) “Modeling and evaluation effect of automation, protection and control on reliability of power distribution systems, Ph.D.

dissertation, Royal Inst. Technol., KTH Univ., Stockholm, Sweden.

3. LabVIEW User Manual, April 2003 Edition, National Instruments.

4. S.Sheeba Rani, V.Gomathy and R.Geethamani, “Embedded design in synchronisation of alternator automation” in International Journal of

Engineering and Technology(IJET) , Volume No.7, pp 460-463, April 2018

5. Chance Elliott, Richard Hansen, VipinVijayakumar and Wesley Zink (2007), National Instrument LabVIEW: A programming environment for

laboratory automation and measurement, the association for Laboratory Automation.

6. D.A. Janeera, Dr.S. Sheeba Rani Gnanamalar, D. Ruth Anita Shirley, Dr.V. Gomathy, Dr.V. Kamatchi Sundari, “Design of programmable marine

metal detector using Uni Fi Controller”, Journal of Advanced Research in Dynamical and Control Systems, Vol.10, no.05, pp.1317-1320

7. Bitter, Matt Nawrocki, Rick, Taqi Mohiuddin, (2001) “LabVIEW Advanced Programming Techniques Boca” Raton: CRC Press LLC.

8. www.ni.com

9. www.ie.itcr.ac.cr

10. www.ijsce.org

256-259

53.

Authors: Ramamoorthi. R , Balamurugan. S, Vignesh. S , Ramaswamy. K

Paper

Title:

Experimental Study to Stimulate the Transmission of Heat and Optimization of the Mass Transmission in

Packaged Cooling Tower-Structures with Horizontal Fill Packs

Abstract: Cooling tower-structures are Cooling towers are vaporization type heat removal device which cools hot

water with straight interaction with atmospheric air by vaporizing a portion of the water, The cooling towers needs

spewing of water over a packing surface from side to side on which a stream of air is fleeting. Mostly the most of the

cooling towers produced these days are provided with vertically placed fill packs. In this investigational

experimentation the cooling tower-structure are accompanied with horizontal fill packs and different constraints related

to cooling tower-structure is determined. Also validation of practical model is performed by empirical relations.

Keywords: Distribution line, Line Fault, Isolation of line.

References: 1. Bedekar S.V.,Nithiarasu P.,Seetharamu K.N., Experimental Investigation of the Performance of a Counter-Flow Packed -Bed Mechanical

Cooling Tower, Energy ,23 (11), p. 943 (1998).

2. Hamid Reza Goshayeshi., J.F. Missenden., Investigation of cooling tower packing in various arrangements, Applied Thermal Engineering, 20(1):

p. 69 (2000).

3. Farhad Gharagheizi., Reza Hayati., Shohreh Fatemi.,Experimental study on the performance of mechanical cooling tower with two types of film

packing, Energy Conversion and Management,48(1), p.277 (2007).

4. Sunil J. Kulkarni, Ajaygiri K. Goswami, Studies and Experimentation on Cooling Towers: A Review, International Research Journal of

Engineering and Technology, 2(5), p.279, (2015).

5. Randhire Mayur A., Performance Improvement of Natural Draft Cooling Tower, International Journal Of Engineering Research And Reviews,

2(1), p..7, (2014).

6. D.A. Janeera, Dr.S. Sheeba Rani Gnanamalar, D. Ruth Anita Shirley, Dr.V. Gomathy, Dr.V. Kamatchi Sundari, “Design of programmable marine

metal detector using Uni Fi Controller”, Journal of Advanced Research in Dynamical and Control Systems, Vol.10, no.05, pp.1317-1320.

260-262

54.

Authors: Ramachandran N, Sivakumar M, Siva Sundar S, Umakhesan A, Theiva Shanmuga Sundar

Paper

Title: Design and Fabrication of Stair Claimbing Load Carrier

Abstract: In modern world, robots are employed in every possible place. It is especially used in major fields like

defense, surveillance activities, transportation and in many other places. This paper is prepared basically on building a

robot with a capability to climb stairs carrying ten kilogram of weight in addition to its own weight. This paper

represents the structure, construction and possible applications of a stair climbing robot. People find it difficult move

loads from one place to another. Vehicle with wheels can help them to move in a plane surface. It requires immense

strength to make it move in an inclined plane and makes it useless in case of stair case. In this project, an attempt has

been initiated to design and construct a stair climbing load carrier. Stair climbing load carrier is a +mobile robot which

can be operated to carry loads in different terrains. It can help in smooth and safe transition especially in stairs. This can

be utilized to carry loads up to a specific weight in inclined surfaces or stairs. The size of the device is compact. It can

render its contribution for portable work. It can be used for transportation of material. It is completely made by mild

steel making it light weight and also makes it is easy to carry.

Keywords: Stair Climbling Robot, Load Carrier

References: 1. Basil Hamed, "Design and Implementation of Stair-Climbing Robots for Rescue Applications", International Journal of Computer and

Electrical Engineering, vol. 3, no. 3, June 2011.

2. Yang Cong, Li Xiaomao, Ji Liu, Yandong Tang, "A Stairway Detection Algorithm based on Vision for UGV Stair Climbing", IEEE, October

2007.

3. James Gaston, Dr. Kaamran Raahemifar, Peter Hiscocks, "A Cooperative Network of Reconfiguration Stair-Climbing Robots", IEEE, 2006.

4. Amon Tunwannarux, Supanunt Hirunyaphisutthikul, "Design features and Characteristics of a Rescue Robot", IEEE, 2005.

5. R.S.Khurmi and J.K.GUPTA “A Text Book of Machine Design", S.Chand Publications, 2005.

6. Orthwein W, “Machine Component Design”, Jaico Publishing Co, 2003.

7. R.Maheswari, S.Sheeba Rani, V.Gomathy and P.Sharmila,“Real Time Environment Simulation through Virtual Reality” in International

Journal of Engineering and Technology(IJET) , Volume.7, No.7, pp 404-406, April 2018

8. Y. Takahashi, T. Nagasawa, H. Nakayama, T. Hanzawa, Y. Arai, T. Nagashima, E. Hirata, M. Nakamura, T. Iizuka, and H. Ninomiya,

"Robotic assistance for aged people," Proc. of the 37th SICE Annual Conf, 29-31 July, pp. 853-858, 1998.

9. Y. Konuma and S. Hirose, "Development of the stair-climbing biped robot 'Zero Walker-1," Proc. of the 19th Annual Conf. of the RSJ, pp.

851-852, 2001.

10. Y. Sugahara, A. Ohta, K. Hashimoto, H. Sunazuka, M. Kawase, C. Tanaka, Hun-ok Lim, and A. Takanishi, "Walking up and down stairs

carrying a human by a biped locomotor with, parallel mechanism," 2005 IEEE/RSJ International Conf. on Intelligent Robots and Systems, 2-6

Aug. pp.1489-1494, 2005.

11. Y. Takita, N. Shimoi, and H. Date, "Development of a wheeled mobile robot "octal, wheel" realized climbing up and down stairs," Proc. of

2004 IEEE/RSJ International Conf on Intelligent Robots and Systems, 28 Sept.-2 Oct., Vol. 3, pp. 2440-2445, 2004.

263-267

55.

Authors: V.Sumathi, S. Hemalatha, B.Sripathy

Paper

Title: Numerical Solution of PDE Using Two Dimensional Chebyshev Wavelet Collocation Method

Abstract: In this current work, we investigate a new computational scheme to solve a system of Partial Differential

Equations. To handle this method, we initially construct a Two Dimensional Chebyshev wavelet which is used to

transform the PDE’s to a linear system of algebraic equations. We approximate the obtained algebraic equations using

collocation method. This algorithm can be easily implemented to solve PDE with boundary conditions. We illustrate

with examples to analyze the convergence using this Two Dimensional Chebyshev collocation method. Finally, we

show the validity, efficiency and applicability of this new technique with some Numerical Examples.

Keywords: Two Dimensional Chebyshev Wavelets, Operational matrices, Collocation points.

References:

268-273

https://www.researchgate.net/profile/Hamid_Goshayeshi?_sg=JE0m0cAsrYCzTGJNcQID34rqSZTaGiqJxZ_Kc_8W0SpTHYQhQUfojeJ-TB6jnS70MnpA6c4.rGBjJ_yTjR7gyumknrhNWODJkJqgtOtsstEHrzWjlskJ3vSOFLvOwNZPFywrpjLlq1SF_zRl1xfyQGb9sb1i6Q

https://www.researchgate.net/scientific-contributions/73069187_JF_Missenden?_sg=JE0m0cAsrYCzTGJNcQID34rqSZTaGiqJxZ_Kc_8W0SpTHYQhQUfojeJ-TB6jnS70MnpA6c4.rGBjJ_yTjR7gyumknrhNWODJkJqgtOtsstEHrzWjlskJ3vSOFLvOwNZPFywrpjLlq1SF_zRl1xfyQGb9sb1i6Q

https://www.researchgate.net/profile/Farhad_Gharagheizi2?_sg=UNGbTll10wWc_UcBE7LP4WUjE3XG3K7VcK_g3V2O_OYdAK0j0nkg7nAD0WrSm2xgS1yvIgk.lu8s8VOrkfYNVXn8NaSVK0xhcoI1RiBSU4jkTKCO3FJY1PZA0Tz7JKd4L3kw8W_2zV9HfrG0t_dKq2oeSmTDqQ

https://www.researchgate.net/scientific-contributions/2007242070_Reza_Hayati?_sg=UNGbTll10wWc_UcBE7LP4WUjE3XG3K7VcK_g3V2O_OYdAK0j0nkg7nAD0WrSm2xgS1yvIgk.lu8s8VOrkfYNVXn8NaSVK0xhcoI1RiBSU4jkTKCO3FJY1PZA0Tz7JKd4L3kw8W_2zV9HfrG0t_dKq2oeSmTDqQ

https://www.researchgate.net/profile/Shohreh_Fatemi?_sg=UNGbTll10wWc_UcBE7LP4WUjE3XG3K7VcK_g3V2O_OYdAK0j0nkg7nAD0WrSm2xgS1yvIgk.lu8s8VOrkfYNVXn8NaSVK0xhcoI1RiBSU4jkTKCO3FJY1PZA0Tz7JKd4L3kw8W_2zV9HfrG0t_dKq2oeSmTDqQ

1. Chui, C.K. An introduction to wavelets, Academic Press, San Diego (1992).

2. Syam M.I., Adomain decomposition method for approximating the solution of the Korteweg-de Vries equation, Applied Mathematics and

Computation 162(2005),1465-1473.

3. J.C. Cortes,L Jeder, and L Villafuerte, “Numerical solution of random differential equations: a mean square approach” Mathematical and

Computer Modeling , vol.45.pp.757-765,2007

4. Celik, I (2015) Chebyshev Wavelet Collocation method for solving generalized Burgers-Huxley equation. Mathematical Methods in the Applied

Sciences, (November 2013),

n/a-n/a.http://doi.org/10.1002/mma.3487

5. M.H.Heydari,M.R.Hooshmandas 1,F.M.M.Ghaini,A new approach of the chebyshev wavelets method for partial differential equations with

boundary condition of the telegraph type, Appl.Math. Modell.38(2014)1597-1606.

6. B.Sripathy,P.Vijayaraju,G.Hariharan,Chebyshev wavelet based Approximation method to some non-linear differential equations

arising in engineering, International Journal of Mathematical Analysis .Vol.9,2015,no.20,993-1010.

7. B.Sripathy,V.Sumathi, Wavelet based solution for certain Non-linear boundary value problems, Global Journal of Pure and Applied Mathematics.

Volume12,No.2(2016).PP.396-406.

8. V.K.Patel, S.Singh, V.K.Singh, Two - dimensional wavelets collocation method for electromagnetic waves in dielectric media , Journal of

Computational and Applied Mathematics(2016).

9. Thangavelu.K,Sumathi.V,Sripathy.B, A New Legendre wavelet in solving Falknerskan Equation ,International Journal of Pure and Applied

Mathematics,Vol.,114,No.5 2017,21-30.

10. V. Sumathi, K. Thangavelu, B. Sripathy , Application of Two-Dimensional Legendre wavelets collocation method for solving PDEs,“

International journal of pure and Applied Mathematics Vol.119 No.13 2018,61-69.

56.

Authors: Mary Elizabeth Antony, Sabna.K.S, Manglambal N.R

Paper

Title: Zariski Topology on L-slices

Abstract: The action of a locale L on a join semilattice J gives us the newly introduced notion of L-slices (σ,J) .We

have tried to extend the idea of Zariski topology on modules to L-slices. Given a locale L and a L-slice (σ,J) , for

m∈(σ,J)and r∈L ,we have constructed (σ,J) ideals [r↳m]={n∈ (σ,J) ┤| σ(r,n)≤m}. Their properties and characteristics

are studied. Similarly, for a given L-slice (σ,J) and n,m∈ (σ,J), we examine the properties of L-ideals [r↳n]={r∈ L┤|

σ(r,n)≤m}. We introduce the notion of L-prime elements on (σ,J) and their properties are discussed. The collection of L-

prime elements is defined as Spec((σ,J) and we examine the possibility of existence of Zariski topology on it.

Keywords: Their properties and characteristics are studied. Similarly, for a given L-slice

References: 1. P.T.Johnstone, Stone Spaces

2. Jorge Picado and Ales pultr, Frames and locales , Topology without points.

3. Sabna K.S, Mangalambal N.R, An isomorphism theorem for L-slices of a locale (communicated)

4. M.F.Athiyah and I.G.Macdonald , Introduction to Commutative Algebra

5. C.P.Lu, The Zariski topology on the prime spectrum of a module,Houston J Math.25(3)(1999)417-432.

274-276

57.

Authors: F.X.Edwin Deepak, A.Aleeswari, W.Lilly Merline, Nivetha Martin

Paper

Title:

Intervention of Environmental Engineering Principles in the Investigation of the Viable Air Pollution Mitigation

Methods with IFS Tool

Abstract: Air is the most indispensable need of the human to live in this world, but in the past decades the quality of

air we inhale is being polluted by the emission of pollutants from industries which contributes highly in comparison

with the other dynamic and area sources of pollutants. Air pollution is not just the contamination of the air alone, rather

it is the destruction of the life of living organisms. Quality of an individual’s health depends on the quality of the air he

breathes. The legal warnings from the government and welfare alarms from voluntary associations in failing to promote

the quality of air have propelled the industrial sectors to practice robust air pollution mitigation (APM) methods. The

challenging task of the industries is the selection of appropriate APM method from the existing numerous methods after

evaluating each method’s degree of fulfilling the essential criteria. This research work presents four major APM

methods cum ten vital criteria by considering the intervention of environmental engineering principles of monitoring the

quality of APM methods. To make the decision making process more consistent, intutionistic fuzzy sets (IFS) are used

which are highly compatible than other fuzzy representations. The ranking results of APM methods are made by using

various significant measures of IFS to find the viable APM method of condensing the hurdles of industrial sectors in

upholding environmental sustainability.

Keywords: APM, intutionistic fuzzy sets, similarity measure, environmental engineering, environmental sustainability.

References: 1. K.T. Atanassov, On Intuitionistic fuzzy sets, Springer (2012).

2. M. S. Bapat, P. N. Kamble, S. N. Yadav, Application of Fuzzy relation in selection of crop pattern, International Journal of Statistika and

Mathematika, 7(2013),28-32

3. P. Burillo, Bustince H. Entropy on intuitionistic fuzzy sets and interval-valued fuzzy sets. Fuzzy Sets Syst 1996;78:305–316.

4. S. K. De, R. Biswas, A.R. Roy, An application of intuitionistic fuzzy sets in medical diagnostic, Fuzzy sets and systems 117 (2) (2001) 209-213.

5. P. A. Ejegwa, A. J. Akubo O. M. Joshua, Intuitionistic Fuzzy Set and its Application in Career Determination via Normalized Euclidean Distance

Method, European Scientific Journal 10 (2014), 529-536

6. Fan J, Xie W. Some notes on similarity measure and proximity measure. Fuzzy Sets Syst 1999;101:403–412.

7. Kaufman L, Rousseeuw PJ. Finding groups in data. New York: Wiley; 1990

8. Li D, Cheng C.Newsimilarity measures of intuitionistic fuzzy sets and application to pattern recognition. Pattern Recognit Lett 2002;23:221–225.

9. T. K. Shinoj, J. J. Sunil, Intuitionistic Fuzzy multisets and its application in medical diagnosis, International journal of mathematical and

computational sciences 6(2012)34-38.

10. E. Szmidt, J. Kacprzyk, On measuring distances between intuitionistic fuzzy Sets, Notes on IFS 3 (4) (1997) 1-3.

11. E. Szmidt, J. Kacprzyk, Distances between intuitionistic fuzzy Sets, Fuzzy Sets and Systems 114 (3) (2000) 505-518.

12. E. Szmidt, J. Kacprzyk, Intuitionistic fuzzy sets in some medical applications, Note on IFS 7 (4) (2001) 58-64.

13. E. Szmidt, J. Kacprzyk, Medical diagnostic reasoning using a similarity measure for intuitionistic fuzzy sets, Note on IFS 10 (4) (2004) 61-69.

277-280

14. E. Szmidt, Distances and similarities in intuitionistic fuzzy sets, Springer (2014).

15. W. Wang, X. Xin, Distance measure between intuitionistic fuzzy sets.Pattern Recognition Letters 26 (2005) 2063-2069.

16. Weng-Liang Hung.,Miin-Shen Yang, On Similarity Measures between Intutionistic Fuzzy sets, International Journal of Intelligent systems, 2

(2008) 364-382.

17. Xiumi Zhang,Zeshui Xu, A new method for ranking intuitionistic fuzzy values and its application in multi-attribute decision making,

Fuzzy optimization and decision making,11 (2012),135-146

18. L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338-353.

19. Zwick R, Carlstein E, Budescu DV. Measures of similarity among fuzzy concepts: A comparative analysis. Int J Approximate Reason

1987;1:221–242.

20. http://www.yourarticlelibrary.com/air-pollution/5-effective-methods-to-control-air-pollution-explained-with-diagram/28360

58.

Authors: M. S. Premalatha, B. Ramakrishnan

Paper

Title: Hybrid Whale-Bee Optimization (HWBO) based Optimal Task Offloading Scheme in MCC

Abstract: Transferring the tasks from portable gadgets to public cloud is one of the important processes in Mobile

Cloud Computing (MCC). Subsequently, offloading differed errands in the meantime will build the 'cloudlets' load and

enlarges the basic finish time of the offloaded assignments. Storing of tasks in the cloud storage is energy consumed

process. The optimal position is to be identified for offloading the tasks from portable gadgets. In order to solve the

issue, an optimal task offloading technique is proposed. A hybrid optimization method based on Hybrid Whale

Optimization algorithm (WOA) and Artificial Bee colony optimization algorithm (ABC). Dual task assignment process

incorporated with queuing models offloads the task in the optimal place of the cloud to reduce the drop rate. The

efficiency of the proposed scheme is evaluated with the conventional methods on the basis of energy consumption, drop

rate etc.

Keywords: Whale optimization, Average response time, energy consumption, Mobile Cloud Computing, Queuing

model.

References: 1 H. T. Dinh, C. Lee, D. Niyato and P. Wang, "A Survey of Mobile Cloud Computing: Architecture, Applications, and Approaches," Wireless

Communications and Mobile Computing, Vol. 13, No. 18, p. 1587– 1611, 2013.

2 M. Chen, Y. Wu and A. V. Vasilakos, "Advances in Mobile Cloud Computing," Mobile Networks and Applications, Vol. 19, No. 2, pp. 131-132,

2014.

3 S. Binitha and S. S. Sathya, "A survey of bio inspired optimization algorithms," International Journal of Soft Computing and Engineering

(IJSCE) ISSN, Vol. 2, No. 2, pp. 2231-2307, May 2012.

4 E. Ahmed, A. Gani, M. K. Khan, R. Buyya and S. U. Khan, "Seamless application execution in mobile cloud computing: Motivation, taxonomy,

and open challenges," Journal of Network and Computer Applications, Elsevier, Vol. 52, pp. 154–172, 2015.

5 E. Ahmed, A. Gani, M. Sookhak, S. H. A. Hamid and F. Xia, "Application optimization in mobile cloud computing: Motivation, taxonomies, and

open challenges," Journal of Network and Computer Applications, Elsevier, Vol. 52, pp. 52-68, 2015.

6 R. Achary, V. Vityanathan, P. Raj and S. Nagarajan, "Dynamic Job Scheduling Using Ant Colony Optimization for Mobile Cloud Computing,"

Intelligent Distributed Computing Advances in Intelligent Systems and Computing, Vol. 321, pp. 71-82, 2015.

7 L. Chunlin and L. LaYuan, "Cost and energy aware service provisioning for mobile client in cloud computing environment," The Journal of

Supercomputing, Springer, Vol. 71, No. 4, pp. 1196-1223, February 2015.

8 J. Vilaplana, F. Solsona, I. Teixidó, J. Mateo, F. Abella and J. Rius, "A queuing theory model for cloud computing," Journal of Supercomputing,

Springer, Vol. 69, No. 1, pp. 492-507, July 2014.

9 M. Altamimi, A. Abdrabou, K. Naik and A. Nayak, "Energy Cost Models of Smartphones for Task," Emerging Topics in Computing, IEEE

Transactions, Vol. 3, No. 3, pp. 384 - 398, 2015.

10 X. Wei, J. Fan, Z. Lu and K. Ding, "Application Scheduling in Mobile Cloud Computing with Load Balancing," Journal of Applied

Mathematics, pp. 13, 2013.

11 Rong P, Pedram M, “Power-aware scheduling and dynamic voltage setting for tasks running on a hard real-time system”, In: Asia and South

Pacific Conference on Design Automation, 2006. IEEE, pp. 6, 2006

12 Wu H, Wang Q, Wolter K, “Tradeoff between performance improvement and energy saving in mobile cloud offloading systems. In: 2013 IEEE

International Conference on Communications Workshops (ICC), IEEE, pp 728–732, 2013.

13 Lee YC, Zomaya AY, “Minimizing energy consumption for precedence-constrained applications using dynamic voltage scaling”, In: 9th

IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009. CCGRID’09, IEEE, pp. 92–99, 2009

14 Lin X, Wang Y, Xie Q, Pedram M, “Energy and performance-aware task scheduling in a mobile cloud computing environment”, In: 2014 IEEE

7th International Conference on Cloud Computing. IEEE, pp. 192–199, 2014.

15 Van den Bossche R, Vanmechelen K, Broeckhove J, “Cost optimal scheduling in hybrid iaas clouds for deadline constrained workloads”, In:

2010 IEEE 3rd International Conference on Cloud Computing, IEEE, pp. 228–235, 2010.

16 Tayal S, “Tasks scheduling optimization for the cloud computing systems. IJAEST-international journal of advanced engineering sciences and

technologies, Vol. 1, No.5, pp.111–115, 2011.

17 Feller E, Rilling L, Morin C, “Energy-aware ant colony based workload placement in clouds”, In: Proceedings of the 2011 IEEE/ACM 12th

International Conference on Grid Computing, IEEE Computer Society, pp. 26–33, 2011.

18 Xu B, Peng Z, Xiao F, Gates AM, Yu J-P, “Dynamic deployment of virtual machines in cloud computing using multi-objective optimization”,

Soft Comput, Vol. 19, No.8,pp.2265–2273, 2015.

19 Zhang W, Wen Y, Wu D, “Energy-efficient scheduling policy for collaborative execution in mobile cloud computing. In: 2013 Proceedings IEEE

INFOCOM, IEEE, pp. 190–194, 2013.

20 Zhang W, Wen Y, “Cloud-assisted collaborative execution for mobile applications with general task topology”, In: 2015 IEEE International

Conference on Communications (ICC). IEEE, pp. 6815–6821, 2015.

21 Giurgiu I, Riva O, Juric D, Krivulev I, Alonso G, “Calling the cloud: enabling mobile phones as interfaces to cloud applications”, In:

ACM/IFIP/USENIX International Conference on Distributed Systems Platforms and Open Distributed Processing. Springer, pp. 83–102, 2009

22 Xie J, Dan L, Yin L, Sun Z, Xiao Y, “An energy-optimal scheduling for collaborative execution in mobile cloud computing”, In: 2015

International Conference and Workshop on Computing and Communication (IEMCON), IEEE, pp. 1–6, 2015. 23 M. F. Arlitt and C. L. Williamson, "Web server workload characterization: the search for invariants," in Proceedings of the 1996 ACM

SIGMETRICS international conference on Measurement and modeling of computer systems, New York, NY, USA, 1996.

281-292

59.

Authors: M. Asad Abdurrahman, Irwan Ridwan Rahim, M. Kurniawan Amir

Paper

Title: Study of Road Maintenance Costs in Makassar City for National Roads and Provincial Roads

Abstract: The lifetime of a street road is highly depending on the existing traffic and environmental conditions.

Eventually the road may experience damage and decreases in condition caused by the heavy vehicles. Thus, the road

requires schedule to maintain for better sustainability. The budget allocation for road maintenance and road

improvement is crucial and high accuracy of budget estimation is required. This study used multiple regression analysis

to develop a model with two independent variables, area of road and Average Daily Traffic volume (ADT) to determine

the road maintenance budget in 2014 on the national roads and provincial roads in the city of Makassar.

Keywords: ADT, Budget allocation, Multiple regression analysis, Road maintenance.

References: 1. Z. Bin and Z. Xinjie, "Notice of Retraction<BR>Study on Environmental Externality Cost of Road Traffic," 2009 International Conference on

Environmental Science and Information Application Technology, Wuhan, 2009, pp. 8-10.

2. H. Ying, "The Highway Construction Cost Control Model Based on the Improved Earned Value Method Theory," 2016 International

Conference on Smart City and Systems Engineering (ICSCSE), Hunan, 2016, pp. 461-464.

A. Sharifi, T. Mazaheri and K. Emad, "Management system designing of bridge's maintenance costs," 2010 Second International Conference on

Engineering System Management and Applications, Sharjah, 2010, pp. 1-6.

3. MenteriPekerjaanUmum. 2011. PeraturanMenteriPekerjaanUmum Nomor:13 /PRT/M/2011 tentang Tata Cara Pemeliharaandan

PenilikanJalan. Jakarta

4. S. Lim, "Road Management System of National Highway ITS," 2009 Fourth International Conference on Computer Sciences and

Convergence Information Technology, Seoul, 2009, pp. 624-626.

5. Zhengmei Wang and YanhuaLuo, "Exploring the life cycle cost management in road engineering," 2011 International Conference on Electric

Technology and Civil Engineering (ICETCE), Lushan, 2011, pp. 351-354.

6. Purnama Sari, Dewi. 2013. Studi Model Pembiayaan Pemeliharaan RutinRuasJalanArteri Primer di Kota Makassar. TugasAkhir.

TeknikSipilUniversitasHasanuddin.

7. Weiyi He and Yilin Yin, "CRCS/CCS: An integrated probabilistic construction cost control approach for highway project," 2010 International

Conference on Mechanic Automation and Control Engineering, Wuhan, 2010, pp. 1182-1184.

8. Harinaldi, Ir, Dr. 2005. Prinsip-PrinsipStatistikuntukTeknikdanSains. Jakarta: Erlangga.

293-296

60.

Authors: Jepi Paerunan, Sumarni Hamid Aly, A.Arwin Amiruddin

Paper

Title: Analysis the Air Quality in the Area of Terminal Regional Daya in the City of Makassar

Abstract: The terminal is a transportation road for the purposes of ride-relegated passengers, the displacement intra or

inters wheels transportation as well as maintains of arrivals and departures a public transport. Terminal as a public

infrastructure must be free from the air pollution. Terminal Regional Daya Makassar, located at PerintisKemerdekaan

KM.15 of road, city of Makassar is considered in this study for measure the quality of the air by taken 10 locations in

the area of Terminal Daya. The measured parameters are Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2) and Carbon

Monoxide (CO2). The measurement is conducted for ten days for one day one location. The obtained results indicate

the air quality of some location still far below the standard quality ambient air in government regulation No.40 years of

1999, Indonesia. The pollution mapping result from ArcGIS application shows that SO2 and NO2 parameters in the

dominant green colour (Good) and CO is blue, yellow and red colour (unhealthy).

Keywords: Air quality, Pollution mapping, Public transport, Terminal, Transportation

References: 1. F. Lopez-Pena, G. Varela, A. Paz-Lopez, R. J. Duro, and F.J. Gonzalez- Castano, "Public Transportation Based Dynamic Urban Pollution

Monitoring System," Sensors & Transducers Journal, vol.8, pp. 13-25, Feb. 2010.

2. Qianxi Li and Qi Li, "Low carbon transportation in Japan and its developmental analysis," 6th Advanced Forum on Transportation of China

(AFTC 2010), Beijing, 2010, pp. 142-143.

3. Y. Wang, J. Yang and W. Jiang, "Impact of Large Cities' Expansion on Air Pollution," 2008 International Workshop on Education Technology

and Training & 2008 International Workshop on Geoscience and Remote Sensing, Shanghai, 2008, pp. 393-396.

4. Vamshi and R. V. Prasad, "Dynamic route planning framework for minimal air pollution exposure in urban road transportation systems," 2018

IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 2018, pp. 540-545.

5. J. J. Q. Yu, V. O. K. Li and A. Y. S. Lam, "Sensor deployment for air pollution monitoring using public transportation system," 2012 IEEE

Congress on Evolutionary Computation, Brisbane, QLD, 2012, pp. 1-7.

6. LuoJi, Vu Alexander, J Matthew, "Vehicle navigation to minimize pollutant exposure", IEEE Intelligent Vehicles Symposium (IV), 2013.

7. StandarNasional Indonesia (SNI). 2005. No 19- 7119.6-2005 “PenentuanLokasiPengambilanSampelPemantauanKualitasUdaara Ambien”.

8. NurulInayah, Yasti. 2015. Analisis Pemantauan Kualitas UdaraPadaKawasan Terminal Daya Di Kota Makassar. Jurnal. Makassar: Fakultas

Teknik, Universitas Hasanuddin

297-301

61.

Authors: Eris Nur Dirman, Saleh Pallu, Isran Ramli

Paper

Title: Queuing Simulation and Container Crane Utilization at the Makassar Container Terminal

Abstract: The background of this research is the shift of the cargo pattern from the original cargo general cargo to the

cargo in the container causing the current volume of container transport in all ports, especially in the PT. Pelindo IV

(Persero) is getting higher. This study aims to determine the performance of container loading and unloading service

using container cranes at the Makassar Container Terminal (TPM). This research is more imposed on the analysis of the

service system from the dock side, especially container crane (CC) facilities with queuing methods which the solution

uses simulation and analytical methods as calculations. This study began with the collection of container export and

import activities at the Makassar Container Terminal, South Sulawesi GRDP data, and container loading and unloading

activity data by container crane facilities. Data were analyzed using statistical analysis to get the projected value. Based

on the projection results, performance calculations are performed using the queuing simulation method and analytical

methods. The results showed that the number of containers for export and import increased from year to year. In 2018 the

export flow of containers was 634,885 boxes per year. The performance of container crane services at Makassar

Container Terminal until 2016 has not been found in the queue. Queues in the new system occur in 2017 and occur on 1

302-305

container crane only. It can be explained that until 2016 the service conditions at TPM were still under operated.

Performance improvements began in 2017 with the addition of container cranes.

Keywords: Container Crane, Loading, Unloading, Queuing simulation

References: 1. Adisasmita, S, A. (2011). Perencanaan Pembangunan Transportasi. Yogyakarta: GrahaIlmu.

2. KodoatieJ.Robert. (2005). PengantarManajemenInfrastruktur. Yogyakarta : PustakaPelajar

3. Zhang Tingfa, Zhang Liangzhi, Zhang Licai and Zhao Qingzhen, "Container transport network optimization model under container port

competition," 2008 IEEE International Conference on Automation and Logistics, Qingdao, 2008, pp. 2224-2228.

4. JincaM.Yamin. (2011). TransportasiLaut Indonesia _ analisissistem&studiKasus. Jakarta: BrilianInternasional.

5. D. N. Prayogo, A. Hidayatno and Komarudin, "Development of integrated tactical level planning in container terminal," 2017 IEEE International

Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, 2017, pp. 1013-1017.

6. D. Wu and X. Pan, "Container Volume Forecasting of Jiujiang Port Based on SVM and Game Theory," 2010 International Conference on

Intelligent Computation Technology and Automation, Changsha, 2010, pp. 1035-1038.

7. Supriyono. (2010). Studi Tolak Ukur Kinerja Fasilitas Pelabuhan. Surabaya: Badan PenelitiandanPengembangan DivisiProyekProyek

PenelitiandanPengkajianSitemTransportasiLaut. ITS.

8. Kramadibrata. (2005). PerencanaanPelabuhan. Bandung: ITB.

9. Haryanto. (2005).

10. AnalisisSistemPelayananBongkarMuatPetikemasdenganMenggunakan Model Antrian. Semarang: Undip.

11. PT. Pelabuhan Indonesia IV. (2012). Company Profile. Makassar: Terminal Petikemas Makassar.

12. Gunawan Ali. (2013). StatistikuntukPenelitiandanPendidikan. Yogyakarta: Parama Publishing

13. Bonett. (2007). SimulasiTeoridanAplikasinya. Yogyakarta: CV. Andi Offset.

62.

Authors: Wihardi Tjaronge, Abd.Madjid Akkas, Andi Sri Ulvah

Paper

Title:

Experimental Study of Concrete Compressive Strength Using Lightweight Concrete Debris Waste as a Substitute

for Coarse Aggregate

Abstract: At present, ready-to-use concrete is rampant adopted in building construction, but it is often excess supply

and the rest is sometimes discarded in any place which could directly reduce the soil fertility and damage the balance of

the ecosystem. Thus, recycle concrete waste is a solution to overcome the problem. However, the utilization of waste as

recycled aggregate needs to be studied more deeply, by conducting experimental testing and analysis of the

characteristics possessed. The methods and procedures for the implementation of recycled aggregate testing are carried

out with reference to ASTM standards. In this study, the concrete base material which is coarse aggregate in the form of

split is replaced with light concrete debris waste (LPBR) with composition (50% LPBR and 50% Split) and the average

compressive strength is measured. The composite samples are tested on 28th day, the concrete compressive strength and

modulus of elasticity results indicated 17.740 MPa and 20024.43 MPa respectively.

Keywords: Building construction, Concrete Compressive Strength, Recycle concrete waste

References: 1. Nawy, Edward. G. BetonBertulangSuatuPendekatanDasar. Jilid 1. Bandung: RefikaAditama. 1998.

2. RSNI 03-2847-2002. Tata Cara

3. PerhitunganStrukturBetonuntukBangunanGedung (Beta Version). Available:

https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxzdHJ1a3R1cmJldG9uMXxneDoyYjNkYmM3OWNhNzFk

YzI4 Accessed on [17 August, 2017]

4. YahanHao and QuanchangRen, "Experimental research on mechanical properties of recycled aggregate concrete," 2011 International

Conference on Multimedia Technology, Hangzhou, 2011, pp. 1539-1542.

5. J. Zhao, "The Application of Recycled Concrete Environmental Impact Analysis," 2010 International Conference on Digital Manufacturing &

Automation, Changsha, 2010, pp. 629-631.

6. Zong-ping Chen, Feng Liu, Hua-haiZheng and Jian-yang Xue, "Research on the bearing capacity of recycled aggregate concrete-filled circle

steel tube column under axial compression loading," 2010 International Conference on Mechanic Automation and Control Engineering, Wuhan,

2010, pp. 1198-1201.

7. Zong-ping Chen, Xiang-hua Chen, Xiao-junKe and Jian-yang Xue, "Experimental study on the mechanical behavior of recycled aggregate

coarse concrete-filled square steel tube column," 2010 International Conference on Mechanic Automation and Control Engineering, Wuhan,

2010, pp. 1313-1316.

8. Fan Zhang, Rong-gen Pan and Shao-jun Yu, "Study on engineering performance improvement of recycled concrete aggregates from old cement

concrete pavement blocks," 2011 International Conference on Electric Technology and Civil Engineering (ICETCE),Lushan, 2011, pp. 2621-

2624.

9. X. Qiu, Y. Zhou and B. Lei, "Research on Durability of Recycled Concrete," 2015 Seventh International Conference on Measuring Technology

and Mechatronics Automation, Nanchang, 2015, pp. 863-865.

10. Duma, H. Studi Perilaku Kuat Lenturdan Susutpada Beton Agregat Daur Ulang. Skripsitidakditerbitkan. Jakarta: Universitas Indonesia. 2008

11. Jifeng Liang, Wei Wu and YanfengTian, "Study on the recycling of recycled aggregated concrete," 2011 International Conference on Remote

Sensing, Environment and Transportation Engineering, Nanjing, 2011, pp. 8590-8592.

12. N. Usahanunth, W. Kongsong, S. Tuprakay, S. R. Tuprakay, S. Sinthaworn and S. Charoenrien, "The compressive strength study and the mortar

standard compliance inspection of waste bakelite mortar and conventional mortar," 2016 Management and Innovation Technology International

Conference (MITicon), Bang-San, 2016, pp. MIT-112-MIT-116.

13. SNI 1974: 2011. Cara ujikuattekanbetondenganbendaujisilinder. Available: http://staffnew.uny.ac.id/upload/132256207/pendidikan/sni-1974-

2011.pdf Accessed on [17 August, 2017].

14. SNI 03-4169-1996, Metodepengujian modulus elastisitasstatisdanrasio poison betondengan kompresometer,1996

306-310

63.

Authors: Muhammad Aldin, Muh.Arsyad Thaha, Mukhsan Putra Hatta

Paper

Title: Alternative Planning for Safety Building of Namrole Beach in South Buru regency-Maluku

Abstract: Namrole coast faces erosion problems due to changes in the coastline because of the settlement is near to

the coast where the buffer zone has not been planned. Thus, during the wave season, the settlement is within reach of

wave run up. The results of the analysis of coastal building selection were carried out by alternative study methods and

311-314

modeling of coastal buildings using Coastal Engineering Design and Analysis System (CEDAS)-NEMOS application.

From the several models of beach building modeled, Seawall was chosen as a coastal protection building with the

design characteristics of the foot depth at 0.5 m, wave height rupture at the end of the building 0.4 m, seawall elevation

2.8 MSL and minimum diameter of building foot protection stone of 22 cm.

Keywords: sea defence building, hindcasting, NEMOS, seawall, Namrole beach

References: 1. Mukhopadhyay, A., Dasgupta, R., Hazra, S. and Mitra, D.2, 1, (2012)

2. Wahyudi, S.I., Ni’am, M.F. and Le Bras, G., International Journal of Civil &Environmental Enginering, 12,04(2012)

3. G. Alexandrakis, C. Manasakis, and N.A. Kampanis, Ocean & Coastal Management 111, 1 (2015).

4. Linham, M.M. and Nicholls, Future Flooding and Coastal Erosion Risks 49 (2010).

5. B. Bidorn and C. Rukvichai, IOP Conference Series: Earth and Environmental Science 171, 012007 (2018).

64.

Authors: Ong Shen Chien, Sami Abdelrahman Musa, Elhassan Mostafa Abdallah

Paper

Title: Numerical Simulation of Alkaline – Surfactant – Polymer Flooding for Enhanced Oil Recovery

Abstract: Chemical enhanced oil recovery (EOR), has drawn increasing interest and identified as an effective

enhanced oil recovery method. Despite the collapse of oil prices since 2014, operators still see ASP flooding as

opportunities for increasing recovery factors from known oil accumulations. The simulation has been carried out on a

3-dimensional homogeneous synthetic model using Schlumberger’s Eclipse software. Waterflooding act as primary case

has a recovery of 47%. Simulation involved compised of ASP Formulation Development. Key results showed that

Single chemical flooding gives recovery range of 50-60%. Concentration for cost effective surfactant-polymer (SP),

alkaline-polymer (AP) and alkaline-surfactant (AS) coupled has been determined gives presentable recovery range from

58% to 72% at reduced cost. Concentration of ASP flooding optimized to 20 lb/stb alkaline, 5 lb/stb surfactant and 1

lb/stb polymer, gives optimized recovery of 81% from 47% waterflooding.

Keywords: Simulation involved compised of ASP Formulation

References: 1. J. Sheng, Modern Chemical Enhanced Oil Recovery: Theory and Practice (Gulf Professional Publishing, 2010).

2. M.S. Kamal, A.S. Sultan, U.A. Al-Mubaiyedh, and I.A. Hussein, Polym. Rev. 55, 491 (2015).

3. J. Sheng, Modern Chemical Enhanced Oil Recovery: Theory and Practice (Gulf Professional Publishing, 2010).

4. J.J. Sheng, Asia-Pacific J. Chem. Eng. 9, 471 (2014).

5. Q. Liu, M. Dong, S. Ma, and Y. Tu, Colloids Surfaces A Physicochem. Eng. Asp. 293, 63 (2007).

6. M. Delshad, C. Han, F.K. Veedu, and G.A. Pope, J. Pet. Sci. Eng. 108, 1 (2013).

7. A.A. Olajire, J. Pet. Sci. Eng. 135, 723 (2015).

8. S. Yuan, P. Yang, Z. Dai, and K. Shen, Int. Meet. Pet. Eng. 14 (1995).

9. Z. Lei, J. Song, and B. Zhu, SPE Reserv. Characterisation Simul. Conf. Exhib. 10 (2011).

10. R. Farajzadeh, A. Andrianov, R. Krastev, G.J. Hirasaki, and W.R. Rossen, Adv. Colloid Interface Sci. 183–184, 1 (2012).

315-320

65.

Authors: M.Karunakaran, P.Sivakumar, N. Chira

Paper

Title: Electrostatic Precipitator in Ash Removal System: A Comprhensive Review

Abstract: Electrostatic precipitator became one of the key spot in removing harmful particulates coming out from

various industries. Since the potential benefits are resulting through the use of electro static precipitator, investigation in

this area is growing continuously and there are numerous projects in this moment all over the world. Hence in this paper

a comprehensive review is attempted to focus the various issues in implementing precipitator. Furthermore, the detailed

investigations towards the enhancement of collection efficiency of precipitator are also addressed in this work.

Keywords: Electrostatic precipitator, collection efficiency, power converter, high pulse, single stage and two stage

precipitators.

References: 1. AMizuno et al., “Electrostatic Precipitation”, IEEE Transactions on Dielectrics and Electrical Insulation Vol. 7 No. 5, October 2000, IEEE

Transactions on Industry Applications, Vol. 35, No.3, May/June 1999.

2. A.Jaworek, “Two stage electro static precipitators for the reduction of PM2.5 particle emission”, IEEE Transactions on Industry Applications,

Vol: 18, No.6, 2018

3. N. V. P. R. Durga Prasad, “Automatic Control and Management of Electrostatic Precipitator”, IEEE Transactions on Industry Applications,

Vol.33,No.5, 2016.

4. Usama Khaled1, et.al,”Experimental and analytical study on the performance of novel design of efficient two stage electrostatic precipitator”,

IET Science, Measurement & Technology, 2018.

5. Coles.D et.al, “Chemical studies of stack fly ash from a coal-fired power plant”, Environment Science Technology, 1979;13 (4):455–459.

6. Hower. JC ,”Fly ash derived from the co-combustion of western United States coal and tire-derived fuel”, Fuel Proceeding

Technology,2004;85:359–77.

7. Jaworek A,C “ Biomass Vs. Coal fly ashes deposited in Electrostatic Precipitator”,Journal of Electrostatic “, 2013;71:165–

75.doi:10.1016/j.elstat.2013.01.009.

8. LinW-Y,Chang, “Separation characteristics of sub micron particles in an Electro Static Precipitator with alternating Electric field corona

Charger”, Aerosol Science Technology, 2011;45:393–400.doi:10.1080/02786826.2010.541530.

9. Saiyasitpanich. P, ”Removal of diesel particulate matter (DPM) in a tubular wet electrostatic precipitator, Journal of

Electrostatic,2007;65:618– 4.doi:10.1016/j.elstat.2007.01.005.

10. Zhang. L, “Influence of woody biomass(cedar chip) addition on the emissions of PM10 from pulverized coal combustion”,Fuel2011;90:77–86

.doi:10.1016/j.fuel.2010.08.017.

11. A. Mizuno, “Electrostatic precipitation,” IEEE Trans. Dielectrics and Electrical Insulation, 2000, vol. 7, no. 5, pp. 615-624.

12. Al-Hamouz, L.: ‘Numerical and experimental evaluation of fly ash collection efficiency in electrostatic precipitators’, Energy Conversation

321-324

Management, 2014, 79, pp. 487–497.

13. Khaled, U& Eldein, A.: ‘Experimental study of V-I characteristics of wire plate electrostatic precipitators under clean air conditions’, Journal

of. Electrostatic, 2013, 71, pp. 228–234.

14. Al-Hamouz, Z, “Simulation and experimental studies of corona power loss in a dust loaded wire-duct electrostatic precipitator”, Advanced.

Powder Technology, 2011, 22, pp. 706–714.

15. Najafabadi, M. et al.: “Effects of geometric parameters and electric indexes on performance of a vertical wet electrostatic precipitator”, Journal

of Electrostatics., 2014, 72, pp. 402–41.

16. Jedrusik, M. & Swierczok, A.: “The correlation between corona current distribution and collection of fine particles in a laboratory-scale

Electrostatic Precipitator”, Journal of . Electrostatics, 2013, 71, pp. 199–203.

17. Zhuang, Y., Kim, Y., Lee, T., et al.: ‘Experimental and theoretical studies of ultra-fine particle behavior in Electrostatic Precipitators’, Journal

of Electrostatics. 2000, 48, pp. 245–260.

18. Chengwn, Y., Peng, D., Chundu, W., et al.: ‘Experimental study of transportation characteristic of charged particle in a laboratory scale high

velocity electrostatic precipitator’. Proc. IEEE Int. Conf. on Mechanic Automation and Control Engineering (MACE), Wuhan, China, June

2010, pp. 2038–2042.

19. Bel-Abbes, S.: “Modeling of a two stages electrostatic air precipitation process using response surface modeling”, Arch. Electrical.

Engineering., 2014, 63, (4), pp. 609–619.

20. Dr. Norbert Grass, ”Microsecond pulsed power supply for Electrostatic Precipitators”, 2001 IEEE.

21. D.A. Lloyd: Electrostatic Precipitator Handbook Bristol, 1988.

22. Werner Hartmann, Michael Römheld, Klaus-Dieter Rohde, „High-efficiency high voltage pulse generator based on a fast recovery

pseudospark switch“, IEEE Trans. Plasma Sci. Vol. 28, no. 5, 2000, pp. 1481-1485.

23. L. M. Dumitran,"Drift velocity of fine particles estimated from fractional efficiency measurements in a laboratory-scaled electrostatic

precipitator, "IEEE Trans. Ind. Appl., vol. 38, no. 3, pp. 852–857, May/Jun.2002.

24. Usama Khaled1,et.al, “Experimental and analytical study on the performance of novel design of efficient two stage electrostatic precipitator”,

IET Science, Measurement & Technology, 2018.

25. A.Jaworek, “Two-stage electro static precipitators for the reduction of PM2.5 particle emissionProgress”, Energy and Combustion Science,

Elseveir , 2018.

26. W. Hartmann, M. Romheld, and K. Rohde, “High-efficiency highvoltage pulse generator based on a fast recovery pseudospark switch,” IEEE

Trans. Plasma Science, vol. 28, no. 5, 2000, pp. 1481-1485.

27. W. Hartmann and M. Romheld, “High-voltage pulse generator for an electrostatic filter,” US Patent, 2006, US7067939B2.

28. N. Grass, W. Hartmann, and M. Romheld, “Microsecond pulsed power supply for electrostatic precipitators,” IEEE Industry Applications

Conference, 2001, pp. 2520-2524.

29. W. Kim, J. Kim, L. Kang, and G. Rim, “A high voltage pulsed power system for electrostatic precipitators,” IEEE Industry Applications

Conference, 1999, pp. 773-777.

30. C. Manuel, G. Eduardo, L. Javier, and H. Cuerva, “Power pulse generator for an electrostatic filer,” PCT, 2012, WO 2012/038569A2.

31. V. Reyes and C. Taarning, “Pulse generating system for electrostatic precipitator,” US Patent, 2008, US2008/0190295.

32. V. Reyes and P. Elholm, “4th generation of Coromax pulse generators for ESP’s,” International Conference on Electrostatic Preipitation

(ICESP), 2011, pp. 1-7.

33. Ming iangcai , ”A High Voltage Pulsed Power Supply with Reduced Device Voltage Stress for Industrial Electrostatic Precipitators”, 2017

IEEE.

34. J. C. Fothergill, Lefley, "A novel prototype design for a transformer for high voltage, high frequency, high power use,"IEEE Trans. Power

Delivery, vol. 16, no. 1, pp. 89–98, Jan. 2001.

35. N. Grass, et.al, "Application of different types of high-voltage supplies on industrial electrostatic precipitators,"IEEE Transaction on Industry

Application,vol. 40, no. 6, pp. 1513–1520, Nov./Dec. 2004.

36. N. Grass, "150kV/300kW high voltage supply with IGBT inverter for large industrial electrostatic precipitator," in Conf. Rec. IEEE IAS

Annual Meeting,2007, pp. 808–811.

37. N. Grass, W. Hartmann, M. Klöckner, "Application of different types of high-voltage supplies on industrial electrostatic precipitators,

"IEEE Trans. Ind. Appl., vol. 40, no. 6, pp. 1513–1520, Nov./Dec. 2004.

38. J. A. Martin-Ramos, A. M. Pernia, J. Diaz, F. Nuno, and J. A. Martinez, “Power supply for high voltage application,” IEEE Trans. Power

Electron., vol. 23, no. 4, pp. 1608–1619, Jul. 2008.

39. J. A. Martin-Ramos, A. M. Pernia, J. Diaz, F. Nuno, and J. A. Martinez,“Power supply for high voltage application,” IEEE Trans.

PowerElectron., vol. 23, no. 4, pp. 1608–1619, Jul. 2008.

40. J. Liu, L. Sheng, J. Shi, Z. Zhang, and X. He,"LCC resonant converter operating under discontinuous resonant current mode in high

voltage,high power and high frequency applications," in Conf. Rec. IEEE APEC 2009, pp. 1482–1486.

41. J. Liu, L. Sheng, J. Shi, Z. Zhang, and X. He,"Design of High Voltage, High Power and High Frequency Transformer in LCC Resonant

Converter," in Conf. Rec. IEEE APEC 2009, pp. 1034–1038.

42. G. Yang, P. Dubus, and D. Sadarnac, " Double-Phase High-Efficiency, Wide Load Range High-Voltage/Low-Voltage LLC DC/DC Converter

for Electric/Hybrid Vehicles ,"IEEE Trans. Power Electron., vol. 30, no.4, pp. 1876-1886, Apr. 2015.

43. Y. J. Kim, J. D. Lee, H. M. Ahn, and S. C. Hahn, "Numerical Investigation for Stray Loss Analysis of Power Transformer," in Conf.Rec. ICEM

2013, pp. 2275–2277, Oct. 2013.

44. W. H. Kim, J. S. Kim, I. Kang, G. H. Rim, and C. U. Kim,"A high voltage pulsed power system for electrostatic precipitators," in Conf. Rec.

IEEE IAS Annual Meeting, 1999, vol. 2, pp. 773–777.

45. T. Soeiro, J. Biela, J. Muhlethaler, J. Linner, P. Ranstad, and J. W. Kolar, “Optimal design of resonant converter for electrostatic precipitators,”

in Proc. IEEE IPEC, 2010, pp. 2294–2301.

46. N. Shafiei, M. Pahlevaninezhad, H. Farzanehfard, A. Bakhshai, and P. Jain, "Analysis of a fifth-order resonant converter for high-voltage dc

power supplies", IEEE Trans. on Power Electron., vol. 28, no. 1, pp. 85–100, Jan. 2013.

47. J. Liu, L. Sheng, J. Shi, Z. Zhang, and X. He,"Design of High Voltage, High Power and High Frequency Transformer in LCC Resonant

Converter," in Conf. Rec. IEEE APEC 2009, pp. 1034–1038.

48. G. Yang, P. Dubus, and D. Sadarnac," Double-Phase High-Efficiency, Wide Load Range High-Voltage/Low-Voltage LLC DC/DC Converter

for Electric/Hybrid Vehicles ,"IEEE Trans. Power Electron., vol. 30, no. 4, pp. 1876-1886, Apr. 2015.

66.

Authors: A. Vimala, S.Manikandan, M.Darani kumar, S. Charumathi, A. Priyadharshini

Paper

Title: Implementation of Energy Efficient Partial FFT Processor for Wireless Communication System

Abstract: The Processor which is widely used in the orthogonal frequency division multiple access (OFDMA)

communication system is the Fast Fourier Transform. To improve the transmission performance in OFDMA system,

resource allocation is implemented. In this context, we designed and found the partial cached Fast Fourier Transform

Processor which satisfies the purpose for the distribution of allocation resources to the user of the OFDMA system. We

designed 128 point partial cached FFT Processor. This paper presented by using energy efficient partial FFT processor

for wireless communication systems.

325-328

Keywords: DIT-Decimation in Time, FFT-Fast Fourier transform

References: 1. S. He and M. Torkelson, “Designing pipeline FFT processor for OFDM (de)modulation,” in Proc. ISSSE, 1998, pp. 257–262.

2. S. Lee and S. C. Park, “Modified SDF architecture for mixed DIF/DIT FFT,” in Proc. IEEE Int. Conf. Circuits Syst., May 2007, pp. 2590–2593.

3. Chao-Ming Chen, Chien-Chang Hung and Yuan-Hao Huang, “An Energy-Efficient partial FFT processor for the OFDMA Communication

system” in proc. IEEE trans. Corcuits and Systems, vol. 57 no. 2, pp. 136-140, Feb 2010.

4. C. T. Lin, Y. C. Yu, and L. D. Fan, “A low-power 64-point FFT/IFFT design for IEEE 802.11a WLAN application,” in Proc. IEEE Int. Conf.

Circuits Syst., May 2006, pp. 4523–4526.

5. R. Min, M. Bhardwaj, and A. Chandrakasan, “A partially operated FFT/IFFT processor for low complexity OFDM modulation and emodulation

of WiBro in-car entertainment system,” IEEE Trans. Consum. Electron., vol. 54, no. 2, pp. 431–436, May 2008.

6. C. P. Fan and G. A. Su, “A grouped fast Fourier transform algorithm design for selective transformed outputs,” in Proc. IEEE APCCAS, 2006,

pp. 1939–1942.

7. Hang Liu and Hanho Lee, “High speed four-parallel 64 point radix 24 MDF FFT / IFFT processor for MIMO-OFDMA system”, in proc.IEEE Int

Conf. Computers and Communication ,2008, pp. 1469-1472.

8. Bevan.M.Bass” A Low-Power, High-Performance, 1024-Point FFT Processor “ in Proc. IEEE journ, Solid States and Circuits vol.34. no.3, pp

380-387, march 1999.

9. R. Min, M. Bhardwaj, and A. Chandrakasan, “Quantifying and enhancing power awareness of VLSI systems,” IEEE Trans. Very Large Scale

Integr.(VLSI) Syst., vol. 9, no. 6, pp. 757–772, Dec. 2001.

10. T. Lenart and V. Owall, “Architectures for dynamic data scaling in2/4/8 K pipeline FFT cores,” IEEE Trans. Very Large Scale Integr.

(VLSI)Syst., vol. 14, no. 11, pp. 1286–1290, Nov. 2006.

11. C80216m-08_503, Motorola IEEE 802.16 m Downlink Resource Mapping, IEEE, May 2008.

12. 3GPP, R1-071091, Philips Resource-Block Mapping of Distributed Transmissions in E-UTRA Downlink, Feb. 2007.

67.

Authors: C Sivarami Reddy, V Ramachandra Prasad, K Jayalakshmi

Paper

Title: Numerical Simulation of Natural Convection of Micropolar Fluid in a Rectangular Porous Enclosure

Abstract: The microploar fluid in a unsteady free convection of two dimensional rectangular porous enclosure has

been examinednumerically. Thenon-dimensional coupled nonlinear partial differential equations is solved bystaggered

gridbased projection method (MAC . The vertical walls of the rectangular enclosure are maintained with different

temperatures while both bottom and top walls of the enclosure are considered adiabatic. The heat transfer has been

studiedforinfluence of the Rayleigh number (Ra), vortex viscosity parameter (K) and Darcy parameter (Da) on fluid

flow.The local Nureduces with augment of vortex viscosity parameter (K) but it enhance with rise ofDarcy number are

illustrates in the results

Keywords: Porous medium; micropolar fluid; MAC Method; Natural convection; staggered grid.

References: 1. A.C. Eringen, Microcontinuum Field Theories: II. Fluent Media, Springer-Verlag, New York, 2001.

2. T. Ariman, M.A. Turk, N.D. Sylvester, Microcontinuum field mechanics – a review, International Journal of Engineering Science, 11 (1973)

905–929.

3. T. Ariman, M.A. Turk, N.D. Sylvester, Applications of microcontinuum field mechanics,International Journal of Engineering Science, 12 (1974)

273–291.

4. G. Lukaszewicz, Micropolar Fluids, Theory and Application, Birkha¨user, Basel, 1999.

5. Hsu, T.-H. and Wang, S.-G, “Mixed convection of micropolar fluids in a cavity”, International Journal of Heat and Mass Transfer, Vol. 43

(2000) pp. 1563-1572.

6. Hsu, T.H. and Hong, K.Y., “Natural convection of micropolar fluids in an open cavity”, Numerical Heat Transfer, Part A, Vol. 50 (2006) pp.

281-300.

7. S.K. Jena, L.K. Malla, S.K. Mahapatra, A.J. Chamkha, Transient buoyancy opposed double diffusive convection of micropolar fluids in a square

enclosure, International Journal of Heat and Mass Transfer81 (2014) 681–694.

8. AnirbanChattopadhyay, Swapan K Pandit, SreejataSenSarma, I. Pop, Mixed convection in a double lid-driven sinusoidally heated porous cavity,


9. TanmayBasak, P.V. Krishna Pradeep, S. Roy, I. Pop, Finite element based heatline approach to study mixed convection in a porous square cavity

with various wall thermal boundary conditions, International Journal of Heat and Mass Transfer 54 (2011) 1706–1727.

10. M.A. Sheremet, I. Pop, Conjugate natural convection in a square porous cavity filled by a nanofluid using Buongiorno’s mathematical model,


11. Chandra ShekarBalla, KishanNaikoti, Soret and Dufour effects on free convective heat and solute transfer in fluid saturated inclined porous

cavity, Engineering Science and Technology, an International Journal 18 (2015) 543-554.

12. M. Sheikholeslami, S.A. Shehzad, Magnetohydrodynamic nanofluid convective flow in a porous enclosure by means of LBM, International

Journal of Heat and Mass Transfer 113 (2017) 796–805.

13. Ali J. Chamkha, M. A. Mansour, Sameh E. Ahmed, Double-diffusive natural convection in inclined finned triangular porous enclosures in the

presence of heat generation/absorption effects, Heat Mass Transfer (2010) 46:757–768.

14. Anwar Bég, O., Prasad, V.R., Vasu, B., Computational modeling of magnetohydrodynamic convection from a rotating cone in orthotropic

Darcian porous media, Journal of the Brazilian Society of Mechanical Sciences and Engineering, (2017) 39: 2035.

15. Gaffar, S.A., Prasad, V.R. & Reddy, E.K., Computational Study of MHD Free Convection Flow of Non-Newtonian Tangent Hyperbolic Fluid

from a Vertical Surface in Porous Media with Hall/Ionslip Currents and Ohmic Dissipation, International Journal of Applied and Computational

Mathematics, (2017) 3: 859.

16. O. Anwar Bég, S. Abdul Gaffar, V. Ramachandra Prasad, M.J. Uddin, Computational solutions for non-isothermal, nonlinear magnetoconvection

in porous media with hall/ionslip currents and ohmic dissipation, Engineering Science and Technology, an International Journal 19 (2016) 377–

394.

17. A SubbaRao, V Ramachandra Prasad, K Harshavalli, O. Anwar Bég, Thermal radiation effects on non-Newtonian fluid in a variable porosity

regime with partial slip, Journal of Porous Media 19 (4), 313-329.

18. Debayan Das, TanmayBasak, Role of discrete heating on the efficient thermal management within porous square and triangular enclosures via

heatline approach, International Journal of Heat and Mass Transfer 112 (2017) 489–508.

19. PratibhaBiswal, TanmayBasak, Investigation of natural convection via heatlines for Rayleigh–Bénard heating in porous enclosures with a curved

top and bottom walls, Numerical Heat Transfer, Part A: Applications, 72:4 (2017) 291-312.

20. PratibhaBiswal, Avijit Nag, TanmayBasak, Analysis of thermal management during natural convection within porous tilted square cavities via

329-339

https://link.springer.com/article/10.1007/s40430-017-0708-x

https://link.springer.com/article/10.1007/s40430-017-0708-x

https://www.tandfonline.com/doi/abs/10.1080/10407782.2017.1358986

https://www.tandfonline.com/doi/abs/10.1080/10407782.2017.1358986

heatline and entropy generation, International Journal of Mechanical Sciences 115-116 (2016) 596–615.

21. SVSSNVG Krishna Murthy, BV Kumar, Mohit Nigam, A parallel finite element study of 3D mixed convection in a fluid saturated cubic porous

enclosure under injection/suction effect, Applied Mathematics and Computation 269 (2015) 841–862.

22. Nikita S Gibanov, Mikhail A Sheremet, Hakan F Oztop, Nidal Abu-Hamdeh, Effect of uniform inclined magnetic field on mixed convection in a

lid- driven cavity having a horizontal porous layer saturated with a ferrofluid, International Journal of Heat and Mass Transfer 114 (2017)

1086–1097.

23. Mikhail A Sheremet, Cornelia Revnic, Ioan Pop, Free convection in a porous wavy cavity filled with a nanofluid using Buongiorno’s

mathematical model with thermal dispersion effect, Applied Mathematics and Computation 299 (2017) 1–15.

24. MA Sheremet, DS Cimpean, I Pop, Free convection in a partially heated wavy porous cavity filled with a nanofluid under the effects of Brownian

diffusion and thermophoresis, Applied Thermal Engineering 113 (2017) 413–418.

25. Tapas Ray Mahapatra, Dulal Pal, SabyasachiMondal, Effects of buoyancy ratio on double-diffusive natural convection in a lid-driven cavity,


68.

Authors: KianLam Tan, ChenKim Lim

Paper

Title:

Malaysian Music Augmented Reality (MMAR): Development of Traditional Musical Instruments Using

Augmented Reality

Abstract: The public music schooling course of study in Malaysia was brought in as a required subject into the primary

schools since 1983 through the program of "Integrated Primary School Curriculum". The predominant intention of

Malaysian music education is for pupils to improve an curiosity and an appreciation of music and songs of the

Malaysian culture. In addition, the specific aim of music education in the Integrated Primary School Curriculum is to

provide students who’ve a basic awareness then understanding of music, similarly as minimum skills in composing

music. When comparing to traditional method (non-interactive), one of the drawbacks is the missing level of realism.

Therefore, an Augmented Reality (AR) based approach may offer a way out to enhance the visual information. AR

technology has been established and matured to the peak where the education sector can use it for effective teaching and

learning especially to provide realistic learning experience to the students. In addition, the Ministry of Higher Education

is strongly urging to get on board of the digital transformation since AR is one of the nine pillars that define Industry

4.0. The objectives of this research has two folds: (i) to promote Malaysian music education especially the traditional

musical instrument to young generation by exploiting the technology from AR and (ii) to develop an AR application by

enriching the digital content on top of the traditional musical instrument to help the students in the primary school to

understand and learn the traditional musical instruments anywhere and at anytime. This research is found to be able to

support interactions between students in the class, cultivating more interest in traditional music and instruments through

the smooth transition between the reality and virtuality, as the interaction with a computer can improve the interest in

learning and teaching.

Keywords: Augmented reality, Mobile learning, Randomized psychoacoustic model.

References: 1. Shahanum, M. S., Mohd, N. H., Hasnizam, A. W., Chan, C. J., Mohd, H. A., Andrew, P. (2014). Future direction of music education in Malaysia

public higher education institutions, PenerbitUniversitiKebangsaan Malaysia.

2. Mubin, M. N. (2011). Develop human capital through music education in Malaysia, Academic Research International, vol. 1(2), pp. 220-227.

3. Shahanum, M. S. (2006) Popular music in Malaysia: Education from the outside, International Journal of Music Education, vol. 24(2), pp. 132-

189.

4. Suwichai, P. (2014). Applying augmented reality technology to promote traditional Thai folk musical instruments on postcards, International

Conference on Computer Graphics, Multimedia and Image Processing, pp. 64-68

5. Zhang, Y. X., Liu, S., Tao, L., Yu. C., Shi, Y., Xu, Y. (2015). ChinAR: facilitating Chinese guqin through interactive projected augmentation,

International Symposium of Chinese CHI, pp. 23-31.

6. Chow, J., Feng, H., Amor, R., Burkhard, C. W. (2013). Music education using augmented with a head mounted display, International Conference

on Australasian User Interface, pp. 73-79.

7. Ana, G. D. C., Bruno, H. V. L., Marilena N., Roseli, D. L. (2016). AR musical app for children’s musical education, International Symposium on

Consumer Electronics, pp. 125-126.

8. Carlos, T. F., Pujana, P., Chu, C. Y., Ruck, T. (2016). Piano learning application with feedback provided by an AR virtual character, Global

Conference on Consumer Electronics, pp. 1-2.

9. Bruno, L., Ana G. D. C., Marilena, N., Roseli, D. L. (2017). Augmented reality musical app to support children’s musical education, Journal of

Computer Science and Information Technology, vol. 5(4), pp. 121-127.

10. Martins, V. F., Gomez, L., Ana, G. D. C. (2015). Teaching children musical perception MUSIC-AR, EAI Endorsed Transaction on e-Learning,

vol. 15(2), pp. 1-8.

11. Serafin, S., Adjorlu, A., Nilsson, N., Thomsen, L., Nordahi, R. (2017). Consideration on the use of virtual and augmented reality technologies in

music education, IEEE Virtual Reality Workshop on K-12 Embodied Learning through Virtual & Augmented Reality, pp. 1-4.

12. Lim, C. K., Tan, T. P., Tan, K. L., Abdullah, Z. T. (2012). Randomized psychoacoustic model for mobile, panoramic, heritage-viewing

application, International Conference on Virtual-Reality Continuum and Its Applications in Industry, pp. 315-322.

340-345

69.

Authors: Muhamadaimanshah Adnan, N.M. Nik Arni, M.O. Balkish

Paper

Title:

A Comparison of Image Grouping Techniques of Content Based Image Retrieval Using K- Means Clustering

Algorithm

Abstract: Content Based Image Retrieval (CBIR) system is an alternative approach to Text Based Image Retrieval

(TBIR) system in retrieving the images. The system consists of three phases which are feature extraction, image

grouping and image retrieval. This study focused on colour feature for feature extraction process, image grouping for

grouping images according to their characteristic similarities. For image retrieval, several well-known clustering

techniques were introduced and applied to CBIR system. The clustering technique of K-Means type is the most

preferable clustering technique since it is easy to be implemented and also fast computation. However, because of many

improvement that have been done towards this technique, there exist variations of K-Means clustering algorithms. Thus,

in this research, a comparison performance among three types of K-Means clustering algorithms, namely the basic K-

Means, Fuzzy K-Means and K-Harmonic Means algorithms is performed. Four validation techniques are used for

determining the most efficient algorithm in retrieving the images, which were Davies-Bouldin index (DB), Calinski-

Harabasz index (CH), Dunn index (Dunn) and Silhouette width (SC). Based on these four validation techniques, the K-

346-350

Harmonic Means clustering algorithm was found to be the best clustering algorithms in grouping image dataset.

Keywords: Image Grouping Techniques, Content Based Image Retrieval, K-Means clustering algorithm.

References: 1. da Silva Torres, R., &Falcão, A. X. (2006). “Content-Based Image Retrieval: Theory and Applications”, RITA, 13(2), 161-185.

2. Murthy, V. S. V. S., Vamsidhar, E., Kumar, J. S., &Rao, P. S. (2010). “Content based image retrieval using Hierarchical and K-means clustering

techniques”, International Journal of Engineering Science and Technology, 2(3), 209-212.

3. Huu, Q. N., Thu, H. N. T., &Quoc, T. N. (2012). “An efficient content based image retrieval method for retrieving images”, International Journal

of Innovative Computing, information and Control, 8(4).

4. Chang, R. I., Lin, S. Y., Ho, J. M., Fann, C. W., & Wang, Y. C. (2012). “A novel content based image retrieval system using K-means/KNN with

feature extraction”, Computer Science and Information Systems/ComSIS, 9(4), 1645-1661.

5. Celebi, M. E., et al. (2013). “A comparative study of efficient initialization methods for the k-means clustering algorithm”, Expert Systems with

Applications, 40(1), 200-210.

6. Subitha, S., &Sujatha, S. (2013). “Survey paper on various methods in content based information retrieval”, IMPACT: International Journal of

Research in Engineering & Technology, 1(3), 109-120.

7. Patil, J. K., & Kumar, R. (2011). “Color Feature Extraction of Tomato Leaf Diseases”, International Journal of Engineering Trends and

Technology, 2(2), 72-74.

8. Chadha, A., Mallik, S., &Johar, R. (2012). “Comparative study and optimization of feature-extraction techniques for Content Based Image

Retrieval”, International Journal of Computer Applications, 52(20), 35-42.

9. Zhou, H., & Liu, Y. (2008). “Accurate integration of multi-view range images using k-means clustering”, Pattern Recognition, 41(1), 152-175.

10. D. Davies and D. Bouldin, “A cluster separation measure”, IEEE PAMI, vol. 1, no. 2, pp. 224–227, 1979.

11. M. Halkidi and M. Vazirgiannis, “Clustering validity assessment using multi-representatives”, in SETN, 2002.

12. P. Rousseeuw, “Silhouettes: a graphical aid to the interpretation and validation of cluster analysis”, J. Comput. Appl. Math., vol. 20, no. 1, pp.

53–65, 1987.

13. Handl J, Knowles J, Kell DB (2005). “Computational Cluster Validation in Post-Genomic Data Analysis”, Bioinformatics, 21(15), 3201-3212.

70.

Authors: Soong Cai Juan, Rosshairy Abd. Rahman, Razamin Ramli

Paper

Title:

Prioritizing the Nutrients of Grouper Fish For Feed Formulation using Inversely Proportional to the Variance

and Weighted Sum of Z-Scores

Abstract: Grouper fish requires several important nutrients such as crude protein, crude fibre and calcium to maintain

its healthiness and growth. However, it is very hard to determine the priority of the nutrients in order to formulate the

grouper feed. Therefore, in this paper, the priority of the nutrients is investigated using two methods which are optimal

characteristic of inversely proportional to the variance and weighted sum of z-scores. Data was collected from 30

manufactures of grouper fish feed meal and analysis were done by using inversely proportional to the variance and

weighted sum of z-scores respectively via SPSS, Statdisk Software and Microsoft Excel. Result shown that weighted

sum of z-scores is more appropriate and better method compare with inversely proportional to the variance. The priority

of nutrients using weighted sum of z-scores are crude ash, follow by crude protein, phosphorus, crude fat, crude fibre

and calcium. This vital information can be considered in such as further study in formulating the nutrients for grouper

fish feed.

Keywords: Grouper, Feed formulation, Weighted sum of Z-scores, Inversely proportional to the variance, Nutrient

requirements.

References: 1. Gumustekin, S., Senel, T., Cengiz, M. A. (2014). “A comparative study on Bayesian optimization algorithm for nutrition problem”, Journal of

Food and Nutrition Research , 2(12), 952-958.

2. Campbell, N. A., Reece, J. B., Taylor, M. R., Simon, E. J., & Dickey, J. L. (2011). “Biology: concepts and connections (7thed.)”, San Francisco:

Pearson Benjamin Cummings.

3. Soong, C.-J., Ramli, R. and Rahman, A. R. (2016a). “Nutrients requirements and composition in a Grouper fish feed formulation”, International

Soft Science Conference 2016 (ISSC2016), Langkawi, Kedah.

4. Soong, C.-J., Ramli, R. and Rahman, A. R. (2016b). “Investigating Nutrient Requirements of Grouper Fish for Feed Formulation”, Journal of

Telecommunication, Electronic and Computer Engineering, Volume 8, Number 8, 19-25.

5. Soong, C.-J.;Ramli, R. and Rahman, A.R. (2015). “Fish consumption and track to a fish feed formulation”, 2nd Innovation and Analytics

Conference &Exhibition 2015 (IACE2015), Kedah.

6. Soong, C.-J.; Ramli, R.; and Rahman, A.R. (2016c). “A standard deviation selection in evolutionary algorithm for grouper fish feed formulation”,

Proceedings of the 4th International Conference on Quantitative Sciences and Its Application (ICOQSIA), Putrajaya Malaysia, 16 August -18

August 2016, Bangi, Selangor, Malaysia.

7. Tuburan, I.B., Coniza, E.B., Rodriquez, E.M.; Agbayani, R.F. (2001). “Culture and economics of wild grouper (Epinepheluscoioides) using three

feed types in ponds”, Aquaculture, 201(3-4), 229-240.

8. Daud, A. O. (2012). “PembenihandanpembiaanikanKerapuHarimau”, Kuala Lumpur: Dewan Bahasa danPustaka.

9. Liu, Q., Sakamoto, T., Kubota, S., Okamoto, N., Yamashita, H., Takagi, M., Shigenobu, Y., Sugaya, T., Nakamura, Y., Sano, M.,

Wuthisuthimethavee, S. and Ozaki, A. (2013). “A genetic linkage map of kelp grouper (Epinephelusbruneus) based on microsatellite markers”,

Aquaculture, 414-415, pp. 63-81.

10. Boonyaratpalin, M. (1997). “Nutrient requirements of marine food fish cultured in Southeast Asia”, Aquaculture 151, 283-313.

11. Millamena, O. M. (2002). “Replacement of fish meal by animal by-product meals in a practical diet for grow-out culture of grouper

Epinepheluscoioides”, Aquaculture 204, 75-84.

12. Luo, Z.; Liu, Y.J.; Mai, K.S.; Tian, L.X.; Liu, D.H.; Tan, X.Y. (2004). “Optimal dietary protein requirement of grouper epinepheluscoioides

juveniles fed isoenergetic diets in floating net-cages”, Aquaculture Nutrition, 10(4), 247-252.

13. Luo, Z., Liu, Y. J., Mai, K. S., Tian, L. X., Yang, H. J., Tan, X. Y., Liu, D. H. (2005). “Dietary L-methionine requirement of juvenile grouper

Epinepheluscoioides at a constant dietary cystine level”, Aquaculture, 249, 409-418.

14. FAO (2014). “The state of word fisheries and aquaculture: opportunities and challenges. FAO Fisheries and Aquaculture Department”,

Food and Agriculture Organization of the United Nations, Rome, 243pp.

15. Chen, H. Y. and Tsai, J. C. (1994). “Optimal dietary protein level for the growth of juvenile grouper, Epinephelusmalabaricus, fed semipurified

diets”, Aquaculture,119, 265-271.

16. NRC (2011). “Nutrient Requirements of Fish and Shrimp. Board on Agriculture and Natural Resources”, National Research Council.

17. Agbo, N.W.; Madalla, N.; and Jauncey, K. (2011). “Effects of dietary cottonseed meal protein levels on growth and feed utilization of

351-356

Niletilapia”, Oreochromisniloticus L. Journal of Applied Science and Environmental Management, 15(2), 235-239.

18. Bhosale, S.V.; Bhilave, M.P.; and Nadaf, S.B. (2010). “Formulation of fish feed using ingredients from plant sources”, Research Journal of

Agricultural Sciences, 1(3), 284-287.

19. Dumas, A.; De Lange, C.F.M.; France, J.; and Bureau, D.P. (2007). “Quantitative description of body composition and rates of nutrient deposition

in rainbow trout (Oncorhynchus mykiss)”, Aquaculture, 273(1), 165-181.

20. Hatlen, B.; Helland, S.J; and Grisdale-Helland, B. (2007). “Energy and nitrogen partitioning in 250g Atlantic cod (Gadusmorhua L.) given graded

levels of feed with different protein and lipid content”, Aquaculture, 270(1-4), 167-177.

21. Shapawi, R.; Mustafa, S.; and Wing-Keong, N. (2008). “Effects of dietary fish oil replacement with vegetable oils on growth and tissue fatty acid

composition of humpback grouper”, Cromileptesaltivelis (Valenciennes). Aquaculture Research, 39(3), 315-323.

22. Gunben, E.M.; Senoo, S.; Yong, A.; and lohlum, R. (2014). “High potential of poultry by-product meal as main protein source in the formulated

feeds for a commonly cultured grouper in Malaysia (Epinephelusfuscoguttatus)”, SainsMalaysiana, 43(3), 399-405.

23. Shapawi, R.; Ebi, I.; Yong, A.; Chong, M.; Chee, L.K.; and Sade, A. (2013). “Soybean meal as a source of protein in formulated diets for tiger

grouper, epinephelusfuscoguttatus juvenile”, Part 11: Improving diet performances with phytase supplementation. Agricultural Sciences, 4(6A),

19-24.

24. Lohlum, S.A.; Forcados, E.G.; Agida, O.G.; Ozele, N.; and Gotep, J.G. (2012). “Enhancing the chemical composition of balanitesaegyptiaca

seeds through ethanol extraction for use as a protein source in feed formulation”, Sustainable Agriculture Research, 1(2), 251-256.

25. Lupatsch, I.; and Kissil, G.W. (2003). “Defining energy and protein requirements of gilthead seabream (sparusaurata) to optimize feeds and

feeding regimes”, Israeli Journal of Aquacuture-Bamigdeh, 55(4), 243-257.

26. Afolayan, M.O.; and Afolayan, M. (2008). “Nigeria oriented poultry feed formulation software requirements”, Journal of Applied Sciences

Research, 4(11), 1596-1602.

27. Onwurah, F.B. (2005). “Excel feed formulation and feeding models”, Proceedings of the 1st International Technology, Education and

Environment Conference. African Society for Scientific Research (ASSR), pp. 192-199.

28. Chandra, A. M. (2005). “Higher surveying”, New Delhi: New Age International (P) Limited.

29. De Bakker, P. I. W., Ferreira, M. A. R., Jia, X., Neale, B. M., Raychaudhuri, S. & Voight, B. F. (2008). “Practical aspects of imputation-driven

meta-analysis of genome-wide association studies”, Human Molecular Genetics,17(2), R122-R128.

30. Han, B. &Eskin, E. (2011). “Random-effects model aimed at discovering association in meta-analysis of genome-wide association studies”, The

American Journal of Human Genetics, 88, 586-598.

31. Cue-Hyunkyu, L., Seungho, C., Ji-Sung, L. & Buhm, H. (2016). “Comparison of two meta-analysis methods: Inverse Variance-Weighted

Average and Weighted Sum of Z-Scores”, Genomics Inform, 14(4), 173-180.

32. Zaitlen, N. & Eskin, E. (2010). “Imputation aware meta-analysis of genome-wide association studies”, GenoetEpidemiol, 34(6), 537-542.

33. Evangelou, E. & Ioannidis, J. P. A. (2013). “Meta-analysis methods for genome-wide association studies and beyond”, Nature Reviews Genetics,

14, 379-389.

34. Mann, P.S. (2013). “Introductory statistics”, (8th Ed.) New Jersey: John Wiley & Sons Inc.

35. Thompson, S. G. & Sharp, S. J. (1999). “Heterogeneity in meta-analysis: A comparison of methods”, Statistics in Medicine, 18, 2693-2708.

36. SPSS Inc (2005). “SPSS 13.0 for windows student version: For Microsoft Windows XP, 2000, Me, and 98”, USA: Prentice Hall.

37. Zaykin, D. V. (2011). “Optimally weighed Z-test is a powerful method for combining probabilities in meta-analysis”, Journal of Evolutionary

Biology, 24(8), 1836-1841.

38. Muhammadar, AA., Mazlan, A. G., Samat, A., Muchlin, Z. A. & Simon, K. D. (2011). “Crude protein and amino acids content in some common

feeds of tiger grouper (Epinephelus fuscoguttatus) juvenile”, Aquaculture, Aquarium, Conservation & Legislaton International Journal of the

Bioflux Society, 4(4), 499-504.

71.

Authors: Devendran Indiran, Munira Ismail, Zaidi Isa

Paper

Title: Financial Bubble Theory and the Log Periodic Power Law Application to Malaysian Stock Market

Abstract: Financial bubbles crashes phenomena has puzzled the economists for decades. The Efficient Market

Hypotheses states that the stock market is efficient and all stock prices reflect all information. However, despite the

efficient market hypothesis, financial bubbles which lead to financial crashes still persist in the market. This paper

attempts to deviate from the efficient market hypothesis, and aimed to explore the causes of financial bubbles. Financial

bubbles can be formed as a result of irrational euphoria, heterogeneous beliefs, positive feedback trading,

synchronization failure among the traders, level of testosterone of traders and many other factors. Next, we discuss on

the methods that has been developed to capture the bubbles and predict the financial crashes. There are numerous

evidences that have shown that LPPL model is able to predict the financial crashes. Modifications have been made to

this model to increase its efficiency in predicting financial crashes. We will additionally discuss on the implications of

the Log Periodic Power Law model and also the changed versions in predicting financial crashes.

Keywords: Financial bubbles, Financial crashes, Log-Periodic Power Law.

References: 1. T. Lux, D. Sornette, “On rational bubbles and fat tails”, Journal of Money, Credit and Banking 34 (3) (2002) 589–610.

2. R. Gurkaynak, “Econometric tests of asset price bubbles: Taking stock”, Journal of Economic Surveys 22 (1) (2008) 166–186.

3. O.J. Blanchard and M.W. Watson, 1982, “Bubbles, Rational Expectations and Speculative Markets, in Crisis in Economic and Financial

Structure: Bubbles, Bursts, and Shocks”, edited by Paul Wachtel. Lexington: Lexington Books.

4. J. Galbraith, “The great crash”, 1929, Mariner Books, 1997.

5. Sornette, “Critical market crashes”, Physics Reports 378 (2003) 1–98.

6. P. Kindleberger, Manias, Panics and Crashes: A History of Financial Crises. New York: Basic Books, 1978.

7. J. Tirole, 1982, “On the possibility of speculation under rational expectations”, Econometrica 50, 1163-1182.

8. M. Friedman and A.J. Schwartz: “A Monetary History of the United States”, 1867-1960. Princeton: Princeton University Press, 1963.

9. R. Shiller, 1984, “Irrational Exuberance”, Princeton University Press, Princeton, NJ.

10. Nadler, P.Jiao, C. Johnson, V. Alexander, and P.J Zak,. “Testosterone administration increases size of experimental asset bubble”, In Press.

11. B. Mazur, (1992). “Testosterone and chess competition”, Social Psychology Quarterly, 55(1), 70-77.

12. P.J. Zak, R. Kurzban, S. Ahmadi, S. Swerdloff & J. Park (2009). “Testosterone Administratiion Decreases Generosity in the Ultimatum Game”,

PLOSone.

13. N. Jegadeesh and S. Titman, 1993, “Returns to buying winners and selling losers: Implications for stock market”.

357-362

72.

Authors: Jiraporn Thomkaew , Sornsawan Chan – u- dom , Namchai Srisuksai

Paper

Title: Geographic Information Retrieval Student Dormitory

Abstract: This research aims to study the characteristics of geographic information systems of student dormitories at 363-366

Rajamangala University of Technology Srivijaya. Nakhon Si Thammarat Campus. Design and development a

geographic information retrieval system for student dormitories at Rajamangala University of Technology Srivijaya.

Nakhon Si Thammarat Campus. And evaluate the user satisfaction assessment of the geographic information retrieval

system. Defining the area around Rajamangala University of Technology Srivijaya 3 km. Location survey of student

dormitories. Apply Google+ technology for latitude and longitude coordinates of dormitories. The database was created

using MySQL and developed web applications with PHP language. It also applied the Google Map API technology for

mapping of dormitories. The research found that the area around the university has 87 dormitories, 3 types such as:

female dormitories, male dormitories and shared dormitories. Each dormitory offers different services and facilities.

Development of geographic information retrieval systems Student dormitories can design and development system

within the scope of research. Students can retrieve the information of the dormitory from the name, price and location of

the dormitory. The user satisfaction assessment of the geographic information retrieval system was high satisfactory.

Keywords: Geographic, Information Retrieval, GIS

References: 1. https://www.nstda.or.th/th/vdo-nstda/sci-day-techno/4046

2. https://th.wikipedia.org/wiki/GIS

3. http://www.thaicreate.com/tutorial/google-maps-javascript-api.html

4. https://www.techmoblog.com/what-is-google-plus/

5. P. Iswarya, Speech and Text Query based Tamil – English Cross Language Information Retrieval System (International Conference on Computer

Communication and Informatics (ICCCI -2014), 2014).

6. Dominique Fohr, Neural Networks for Proper Name Retrieval in the Framework of Automatic Speech Recognition (6th International Conference

on Information Systems and Economic Intelligence (SIIE), 2015).

7. Shadab Irfan, Information Retrieval in Big Data Using Evolutionary Computation: A Survey. (International Conference on Computing,

Communication and Automation (ICCCA2016), 2016).

8. Niwat Nunchuphon , Geographic Information Retrieval System on Android (GeoIR): A Case Study of Prince of Songkla University, (The Eighth

National Conference on Computing and Information Technology, 2012).

9. Issara Chuenta, Information Retrieval In Thai Northeast Travel Utilizing Ontology, (Information Technology Journal Vol. 10, No. 2, July -

December 2014, 2014).

73.

Authors: Muhammad Azrin Ahmad, Nor Haniza Sarmin, Wan Heng Fong, Yuhani Yusof, Noraziah Adzhar

Paper Title: Second Order Limit Language with Two Cutting Sites

Abstract: The study of recombinant conduct of bi-stranded Deoxyribonucleic acid particles with the presence of

chose confinement compound and ligase leads to the development of mathematical modelling of splicing system.

Therefore, molecular biologists start focusing more on splicing systems. The splicing language that is generated from

the splicing system is categorized into inert/adult, transient and limit languages. Recently, the study of the limit

language has been extended to the second order limit language. Previous researchers have focused their study on the

three categories of splicing language. A normal splicing system with no restriction on the number of cutting site and the

properties of the rule result to non-existence of the second request limit language. Within this paper, existence of the

second request limit language in a type of splicing framework, namely the Y-G splicing framework is investigated in

which there are two cutting sites in the set of rules.

Keywords: splicing system; splicing language; limit language; DNA

References: 1. Tamarin, R. H. (2001).Principles of Genetics, 7th Ed., The Mac-Graw Hill Companies, USA.

2. Alcamo, I. E. (2001).DNA Technology The Awesome Skill, 2nd ed., Harcourt/Academic Press, USA.

3. Dwyer, C. and Lebeck, A. (2008).Introduction to DNA Self Assembled Computer Design, Boston, Artech House, Inc., London.

4. Head T.“Formal Language Theory and DNA: An Analysis of The Generative Capacity of Specific Recombinant Behaviors.”Bulletin of

Mathematical Biology 49, (1987): 737 – 759.

5. Paun, Gh., Rozenberg, G. and Salomaa, A. (1998).DNA Computing: New Computing Paradigms, Springer-Verlag Berlin Heidelberg, New York,

London.

6. Paun, Gh.“On the Splicing Operation.”Discrete Applied Mathematics 70, (1996): 57 – 59.

7. Pixton, D.“Regularity of Splicing Languages.”Discrete Applied Mathematics 69, (1996): 101-124.

8. Goode, E. and Pixton, D. “Splicing to the Limit,” in Aspects of Molecular Computing, edited by N. Janoska, Gh. Paun and G. Rozenberg,

Springer Berlin Heidelberg, New York, London (2004).

9. Yusof, Y., Sarmin, N. H., Goode, T. E., Mahmud, M and Fong, W. H.“An Extension of DNA Splicing System.”In Proceedings - 2011 Sixth

International Conference on Bio-Inspired Computing: Theories and Applications, p. 246. 2011.

10. Karimi, F., Sarmin N. H. and Fong, W. H.“Some Sufficient Conditions for Persistent Splicing Systems.”Australian Journal of Basic and Applied

Sciences 5,no. 1 (2011): 20 – 24.

11. Ahmad, M. A., Sarmin, N. H., Fong. W. H. and Yusof, Y.“An Extension of First Order Limit Language.” InAIP Conference Proceedings 1602,p.

627. 2014.

12. Ahmad, M. A., Sarmin, N. H., Fong. W. H. and Yusof, Y.“A Comparison of Second Order and Non-Second Order Limit Language Generated by

Yusof-Goode Splicing System.”Jurnal Teknologi 72, no. 1 (2015): 27 – 31.

10. Linz, P. (2006). An Introduction to Formal Languages and Automata, Jones and Barlett Publisher, USA.

367-372

74.

Authors: Sivasubramanian R, Siva sundar S, Umakhesan A, Rajavel M, Saravanan M

Paper Title: Design and Development of Electromagnetic Braking System

Abstract: Electromagnetic brake slows down a moving object by means of electromagnetic induction, in which it

will create a resistance. A pressure is created by the Friction brakes on two separate objects to gradually reduce the

speed of the vehicle in a controlled way. The current of the magnet turns in the form of heat of the plate which will

reduce the kinetic energy. In this magnetic type of braking system whenever force is applied by the driver on the brake

pedal the intensity of braking is sensed by a pressure transducer and delivers the output actuating signals to the

microprocessor. This controller sends a signal to the capacitor and from the respective unit a pulsating D.C. current is

373-375

https://www.nstda.or.th/th/vdo-nstda/sci-day-techno/4046

https://th.wikipedia.org/wiki/GIS

http://www.thaicreate.com/tutorial/google-maps-javascript-api.html

https://www.techmoblog.com/what-is-google-plus/

sent to the power pack.[8-9] As per the driver’s requirement a proportionate torque is developed to decelerate the

vehicle.

Keywords: Electromagnetic brake, electromagnetic induction, Friction brakes, microprocessor.

References: 1. Marcel Bachmann Vjaceslav Avilov Andrey Gumenyuk Michael Rethmeier (2014), Experimental and numerical investigation of an

electromagnetic weld pool support system for high power laser beam welding of austenitic stainless steel, Elsevier ,Vol. 214, No. 3, pp.578-591.

2. Putman, P.T, (1986) ‘Capture Dynamics of Coaxial Magnetic Brakes’ Vol.6

3. G. Guna* , S. Dinesh ,()2016),Electro Magnetic Braking System, Journal of Chemical and Pharmaceutical Sciences,Issue No -5,pp.427-428. 4. Sagar Wagh, 2Aditya Mahakode, 3Abhishek Mehta and 4Vaneela Pyla (2017),”Electromagnetic Braking System in Automobile” International

Journal of Trend in Research and Development, Volume 4(3),228-231.

5. John Willard Tielking, (1926) ‘Electromagnet Braking’ Vol.3. 6. U. M. Saravanan1 T. R. Manoj 2 P. Meiyazhagan3 R. Mathi4 M. Murali Manoharan5,I2018),’ Design and Fabrication of Contactless Braking

System with Eddy Current’, International Journal for Scientific Research & Development| Vol. 6, Issue 02,pp.3623-3625.

7. William C. Orthuvein (2004) ‘Clutches and Brakes design’ Vol. 8. W.Y.Li, B.P.Tang, J.G.Han, X.N.Lu, N.N.Hu, Z.Z.He ,(2015),The structure healthy condition monitoring and fault diagnosis methods in wind

turbines: A review, Renewable and Sustainable Energy Reviews,Elsevier,Vol.44,pp. 466-472.

9. Vinodkumar. Vinodkumar.S1, Sujay jairaman2, Anvesh.P3, Viswanath.G4 improvement of braking efficiency in vehicle by using fusion braking system, International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 08,pp.527-529.


Engineering and Technology(IJET) , Volume.7, pp 457-459, April 2018 11. S.Sheeba Rani, V.Gomathy and R.Geethamani, “Embedded design in synchronisation of alternator automation” in International Journal of


75.

Authors: Biswajeet Champaty, Suraj Nayak, Kunal Pal

Paper Title: Development of an Electrooculogram-based Human-Computer Interface for Hands-Free Control of Assistive

Devices

Abstract: The current study proposes the development of an electrooculogram (EOG)-based human-computer interface

(HCI) for hands-free control of assistive devices. A commercially available robotic arm was customized and used as a

representative assistive device. The EOG signal was acquired in a laptop using the developed EOG data acquisition

module (EOG-DAQ). The acquired EOG signals were classified using a novel dynamic threshold algorithm. The

control signals were generated by simultaneous events of hall-effect (HE) sensor activation and eye movement

detection. This control mechanism was employed to avoid false activation of the assistive device. The transmission of

the control signals to the robotic arm was performed using Xbee communication protocol. The performance of the

developed system was evaluated by a customized pick-and-place experiment by 10 human volunteers. All the

volunteers were able to perform the tasks successfully. The execution time could be reduced with a short training to the

volunteers.

Keywords: The EOG signal was acquired in a laptop using the developed EOG data acquisition module (EOG-DAQ).

References: 1. W. S. Harwin, et al., "A review of design issues in rehabilitation robotics with reference to North American research," Rehabilitation Engineering,

IEEE Transactions on, vol. 3, pp. 3-13, 1995.

2. J. R. Hegarty and M. J. Topping, "HANDY 1-A Low-Cost Robotic Aid to Eating," in Proc. Int'l. Conf. on Rehabilitation Robotics, 1991, pp. 17-

25.

3. J. A. Martínez, et al., "Multimodal system based on electrooculography and voice recognition to control a robot arm," Int. J. Adv. Robotic Syst,

vol. 10, 2013.

4. A. Phinyomark, et al., "A review of control methods for electric power wheelchairs based on electromyography signals with special emphasis on

pattern recognition," IETE Technical Review, vol. 28, pp. 316-326, 2011.

5. E. McAdams, "Encyclopedia of Medical Devices and Instrumentation," ed: John Wiley & Sons, 2006.

6. C. Luca, "Electromyography," Encyclopedia of Medical Devices and Instrumentation, 2006.

7. K. H. Ha, et al., "Volitional control of a prosthetic knee using surface electromyography," Biomedical Engineering, IEEE Transactions on, vol.

58, pp. 144-151, 2011.

8. D. Brunelli, et al., "Low-cost wearable multichannel surface EMG acquisition for prosthetic hand control," in Advances in Sensors and Interfaces

(IWASI), 2015 6th IEEE International Workshop on, 2015, pp. 94-99.

9. G. Kucukyildiz, et al., "Real time control of a wheelchair based on EMG and Kinect for the disabled people," in Medical Technologies National

Conference (TIPTEKNO), 2015, 2015, pp. 1-4.

10. M. L. Guzmán, et al., "Non-conventional Control and Implementation of an Electric Wheelchair Designed to Climb Up Stairs, Controlled via

Electromyography and Supported by Artificial Neural Network Processing," in Pattern Recognition, ed: Springer, 2013, pp. 344-353.

11. M. B. I. Reaz, et al., "Techniques of EMG signal analysis: detection, processing, classification and applications," Biological procedures online,

vol. 8, p. 11, 2006.

12. C. L. Martin, et al., "Gait and balance impairment in early multiple sclerosis in the absence of clinical disability," Multiple Sclerosis Journal, vol.

12, pp. 620-628, 2006.

13. A. Ramos-Murguialday, et al., "Proprioceptive feedback and brain computer interface (BCI) based neuroprostheses," PloS one, vol. 7, p. e47048,

2012.

14. C.-T. Lin, et al., "EEG-based assessment of driver cognitive responses in a dynamic virtual-reality driving environment," Biomedical

Engineering, IEEE Transactions on, vol. 54, pp. 1349-1352, 2007.

15. T. Gupta, et al., "A Portable & Cost Effective Human Computer Interface Device for Disabled," in Communication Systems and Network

Technologies (CSNT), 2015 Fifth International Conference on, 2015, pp. 1268-1273.

16. B. Champaty, et al., "Development of eog based human machine interface control system for motorized wheelchair," in Emerging Research

Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014 Annual International Conference on, 2014, pp. 1-7.

17. S. Nayak, et al., "Development of an EOG based computer aided communication support system," in 2015 Annual IEEE India Conference

(INDICON), 2015, pp. 1-6.

18. A. Ang, et al., "A user-friendly wearable single-channel EOG-based human-computer interface for cursor control," in Neural Engineering (NER),

2015 7th International IEEE/EMBS Conference on, 2015, pp. 565-568.

19. R. Barea, et al., "EOG-based eye movements codification for human computer interaction," Expert Systems with Applications, vol. 39, pp. 2677-

2683, 2012.

376-386

https://www.sciencedirect.com/science/article/pii/S0924013613003403#!




https://www.sciencedirect.com/science/journal/09240136/214/3







https://www.sciencedirect.com/science/journal/13640321/44/supp/C

20. P. Swami and T. K. Gandhi, "Assistive communication system for speech disabled patients based on electro-oculogram character recognition," in

Computing for Sustainable Global Development (INDIACom), 2014 International Conference on, 2014, pp. 373-376.

21. S. Soltani and A. Mahnam, "A practical efficient human computer interface based on saccadic eye movements for people with disabilities,"

Computers in Biology and Medicine, 2016.

22. S. Tarunkumar, et al., "An assistive device for quadriplegic patients using NI-MyRIO," Biomedical Engineering: Applications, Basis and

Communications, vol. 29, p. 1750017, 2017.

23. S. Soltani and A. Mahnam, "A practical efficient human computer interface based on saccadic eye movements for people with disabilities,"

Computers in biology and medicine, vol. 70, pp. 163-173, 2016

24. B. Champaty, et al., "Voluntary Blink Controlled Communication Protocol for Bed-Ridden Patients," in Handbook of Research on Wireless

Sensor Network Trends, Technologies, and Applications, ed: IGI Global, 2017, pp. 162-195.

25. B. Champaty, et al., "Development of EOG and EMG-Based Multimodal Assistive Systems," in Medical Imaging in Clinical Applications, ed:

Springer, 2016, pp. 285-310.

26. H. S. Dhillon, et al., "EOG and EMG based virtual keyboard: A brain-computer interface," in Computer Science and Information Technology,

2009. ICCSIT 2009. 2nd IEEE International Conference on, 2009, pp. 259-262.

27. E. Iáñez, et al., "Interface based on electrooculography for velocity control of a robot arm," Applied Bionics and Biomechanics, vol. 7, pp. 199-

207, 2010.

28. K. Kawasaki and T. Tamura, "Automated measurement of the electro-oculogram for clinical use," Documenta ophthalmologica, vol. 66, pp. 85-

94, 1987.

29. E. IáñEz, et al., "Assistive robot application based on an RFID control architecture and a wireless EOG interface," Robotics and Autonomous

Systems, vol. 60, pp. 1069-1077, 2012.

30. B. E. Dicianno, et al., "Joystick control for powered mobility: Current state of technology and future directions," Physical Medicine and

Rehabilitation Clinics, vol. 21, pp. 79-86, 2010.

76.

Authors: Kuldeep P. Sambrekar, Vijay S. Rajpurohit

Paper Title: Fast and Efficient Agro Data Classification Model for Agriculture Management System using Hierarchical

Cloud Computing

Abstract: Data analytics (DA), Internet of Things (IoT) and cloud computing framework are employed to build a cost

efficient and productive agriculture management system. The remote sensing forecasting and GIS Technology provide

various sensory information to stake holders/users such as rainfall pattern, weather related data (such as temperature,

humidity, pressure etc.). These sensory data are of unstructured format. The existing system lack efficiency in

performing analysis on such data. Since it fails to bring good tradeoff between speedup and memory efficiency. To

overcome these research challenges, this work presents an Accurate Classification Model (ACM) for Agriculture

Management System (AMS). Firstly, a selective clustering algorithm is proposed to classify unstructured multi-

dimensional selective agriculture data to structured format. Further, this work presents a novel hierarchical clustering

model to perform clustering on output data of selective clustering algorithm and stores the data on standard Hierarchical

cloud storage architecture. A parallel algorithm to perform classification of structured data using Hadoop MapReduce

framework is presented. Experiments are conducted on real-time agricultural data. The results obtained indicate a

considerable improvement over exiting model in terms of computation cost, latency, accuracy, memory efficiency and

speedup.

Keywords: Agriculture data clustering, Map-reduce framework for agriculture, Cloud data Storage optimization,

Hierarchical data on cloud.

References: 1. Bernard A, “A DSS is an Integration of Web-Based Programs. Geographic Information Systems (GIS) Capabilities and Databases”, USA, pp:

484-495, 2003.

2. Wu J, Ping L, Ge X, et al. Cloud storage as the infrastructure of cloud computing[C]//Intelligent Computing and Cognitive Informatics (ICICCI),

2010 International Conference on. IEEE, 380-383, 2010.

3. David H, “Web-Based Systems, Client can use any internet-Connected computer or web-enabled Mobile Phone or PDA to gain Real time Access

to the data, USA”, 2006.

4. L. Kuang, L. T. Yang, J. Chen, F. Hao and C. Luo, "A Holistic Approach for Distributed Dimensionality Reduction of Big Data," in IEEE

Transactions on Cloud Computing, vol. 6, no. 2, pp. 506-518, 2018.

5. Y. Gong, S. Lazebnik, A. Gordo, and F. Perronin, “Iterative quantization: A procrustean approach to learning binary codes for large-scale image

retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 12, pp. 2916–2929, 2013.

6. T. Ge, K. He, Q. Ke, and J. Sun, “Optimized product quantization,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no.

4, pp. 744–755, april 2014.

7. L. Bao, Q. Yang, and H. Jin, “Fast edge-preserving patchmatch for large displacement optical flow,” IEEE Transactions on Image Processing,

vol. 23, no. 12, pp. 4996–5006, 2014.

8. D.Cozzolino, G.Poggi, and L.Verdoliva, “Efficient dense-field copymove forgery detection,” IEEE Transactions on Information Forensics and

Security, vol. 10, no. 11, pp. 2284–2297, 2015.

9. L. Verdoliva, D. Cozzolino and G. Poggi, "A Reliable Order-Statistics-Based Approximate Nearest Neighbor Search Algorithm," in IEEE

Transactions on Image Processing, vol. 26, no. 1, pp. 237-250, 2017.

10. Sengupta S, Annervaz K M, Saxena A, et al. Data Vaporizer - Towards a Configurable Enterprise Data Storage Framework in Public Cloud[C].

IEEE International Conference on Cloud Computing. IEEE, 73-80, 2015.

11. X. Ren, P. London, J. Ziani and A. Wierman, "Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market," in

IEEE/ACM Transactions on Networking, vol. 26, no. 2, pp. 893-905, April 2018.

12. “Apache Hadoop.” [Online]. Available: http://hadoop.apache.org/. [Accessed: 21-Oct-2017].

13. Lipeng Wan, Qing Cao, Feiyi Wang, Sarp Oral ”Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale

hierarchical storage systems,” Journal of Parallel and Distributed Computing, Volume 100, Pages 16-29, 2017.

14. Bharathi S, Chervenak A, Deelman E, Mehta G, Su MH, Vahi K. Characterization of scientific workflows. In: Workflows in Support of Large-

Scale Science, 2008. WORKS 2008. Third Workshop on; p. 1±10, 2008.

15. Vinothina.V, R.Sridaran. ”Scheduling Scientific Workflow Based Application Using ACO in Public Cloud” International Journal of Engineering

and Technology (IJET), Vol 7 No 6, Dec 2015-Jan 2016.

16. Aggo senosry data. “http://archive.ics.uci.edu/ml/datasets/gas+sensors+for+home+activity+monitoring”, last accessed july 26, 2018.

387-394

77. Authors: M. S. Premalatha, B. Ramakrishnan

Paper Title: TDWOA: Effective Triple DES with Whale Optimization Algorithm for Trust Based Offloading System

Abstract: In Mobile Cloud Computing (MCC), offloading may be a fashionable scheme projected to reinforce the

characteristics of portable devices by extenuating complex calculations to capable cloud servers. Efficiency in security

and energy consumption point of view, offloading is most important. It actually demonstrates the new disputes over

security vulnerabilities by the unauthorized users. Among doable security problems are temporal arrangement threads

that aren't secured by ancient scientific discipline security. Therefore, the first intension is to propose secure and

economical offloading approach to writing methodology to be performed with the assistance of Triple DES rule

personal key by activity server and also the optimum key choice is completed by the “Whale Optimization algorithm

(WOA)”. The experimental results are presented to ensure the efficiency of this research. The proposed TDWOA

technique is analyzed with various existing algorithms to ensure the security over computational offloading in cloud.

Keywords: Offloading, Trust Management, encryption, Whale Optimization, Triple DES

References: 1 Zissis, Dimitrios, and Dimitrios Lekkas, "Addressing cloud computing security issues," Future Generation computer systems , Vol.28, No. 3, pp

583-592, 2012.

2 Fernando, Niroshinie, Seng Wai Loke, and Wenny Rahayu, "Dynamic mobile cloud computing: Ad hoc and opportunistic job sharing," In process

of IEEE 4th International Conference on Utility and Cloud Computing (UCC 2011), pp. 281-286, 2011.

3 Subashini, Subashini, and Veeraruna Kavitha, "A survey on security issues in service delivery models of cloud computing." Journal of network

and computer applications, Vol. 34, No. 1, pp. 1-11, 2011.

4 Ren, Kui, Cong Wang, and Qian Wang. "Security challenges for the public cloud," IEEE Internet Computing, Vol. 16, No. 1, pp. 69-73, 2012.

5 Huang, Dijiang, Zhibin Zhou, Le Xu, Tianyi Xing, and Yunji Zhong, "Secure data processing framework for mobile cloud computing, " In

Computer Communications Workshops (INFOCOM WKSHPS), In process of IEEE Conference, pp. 614-618, 2011.

6 Yang, Kan, Xiaohua Jia, Kui Ren, Bo Zhang, and Ruitao Xie, "DAC-MACS: Effective data access control for multi authority cloud storage

systems." IEEE Transactions on Information Forensics and Security, Vol. 8, No. 11, pp. 1790-1801, 2013.

7 Khan, Abdul Nasir, ML Mat Kiah, Samee U. Khan, and Sajjad A. Madani.,"Towards secure mobile cloud computing: A survey," Future

Generation Computer Systems , Vol. 29, No. 5, pp. 1278-1299, 2013.

8 Xiao, Zhifeng, and Yang Xiao, "Security and privacy in cloud computing." IEEE Communications Surveys & Tutorials, Vol.15, no. 2 , pp. 843-

859, 2013.

9 Zhou, Lan, Vijay Varadharajan, and Michael Hitchens, "Achieving secure role-based access control on encrypted data in cloud storage," IEEE

transactions on information forensics and security, Vol. 8, No. 12, pp. 1947-1960, 2013.

10 Yang, Kan, and Xiaohua Jia, "Expressive, efficient, and revocable data access control for multi-authority cloud storage," IEEE transactions on

parallel and distributed systems, Vol.25, No. 7, pp.1735-1744, 2014.

11 Baek, Joonsang, Quang Hieu Vu, Joseph K. Liu, Xinyi Huang, and Yang Xiang, "A secure cloud computing based framework for big data

information management of smart grid," IEEE transactions on cloud computing, Vol. 3, No. 2, pp. 233-244, 2015.

12 Wang, Boyang, Baochun Li, and Hui Li, "Panda: Public auditing for shared data with efficient user revocation in the cloud," IEEE Transactions

on services computing , Vol.8, No. 1, pp. 92-106, 2015.

13 Li, Jin, Jingwei Li, Xiaofeng Chen, Chunfu Jia, and Wenjing Lou,"Identity-based encryption with outsourced revocation in cloud computing,"

Ieee Transactions on computers, Vol. 64, No. 2, pp. 425-437, 2015.

14 Shaikh, Rizwana, and M. Sasikumar,"Trust model for measuring security strength of cloud computing service," Procedia Computer Science, Vo.

45, pp. 380-389, 2015.

15 Lin, Hui, Li Xu, Yi Mu, and Wei Wu, "A reliable recommendation and privacy-preserving based cross-layer reputation mechanism for mobile

cloud computing." Future Generation Computer Systems, Vol. 52, pp. 125-136, 2015.\

16 Li, Yibin, Keke Gai, Longfei Qiu, Meikang Qiu, and Hui Zhao,"Intelligent cryptography approach for secure distributed big data storage in cloud

computing," Information Sciences, Vol. 387, pp.103-115, 2017.

17 Yan, Zheng, Xueyun Li, Mingjun Wang, and Athanasios V. Vasilakos, "Flexible data access control based on trust and reputation in cloud

computing." IEEE Transactions on Cloud Computing , Vol. 5, No. 3, pp. 485-498, 2017.

18 Noor, Talal H., Quan Z. Sheng, Lina Yao, Schahram Dustdar, and Anne HH Ngu, "CloudArmor: Supporting reputation-based trust management

for cloud services," IEEE transactions on parallel and distributed systems, Vol. 27, No. 2, pp. 367-380, 2016.

19 Li, Jin, Yinghui Zhang, Xiaofeng Chen, and Yang Xiang, "Secure attribute-based data sharing for resource-limited users in cloud computing,"

Computers & Security, Vol. 72, pp.1-12, 2018.

20 Luo, Yuchuan, Ming Xu, Kai Huang, Dongsheng Wang, and Shaojing Fu, "Efficient auditing for shared data in the cloud with secure user

revocation and computations outsourcing," Computers & Security, Vol. 73, No. 492-506, 2018.

21 Saab, Salwa Adriana, Farah Saab, Ayman Kayssi, Ali Chehab, and Imad H. Elhajj, "Partial mobile application offloading to the cloud for energy-

efficiency with security measures," Sustainable Computing: Informatics and Systems, Vol. 8, pp. 38-46,2015.

22 Khan, Abdul Nasir, ML Mat Kiah, Mazhar Ali, and Shahaboddin Shamshirband, "A cloud-manager-based re-encryption scheme for mobile users

in cloud environment: a hybrid approach," Journal of Grid Computing, Vol.13, No. 4, pp. 651-675, 2015.

23 Xia, Qiufen, Weifa Liang, and Zichuan Xu, "The operational cost minimization in distributed clouds via community-aware user data placements

of social networks", Computer Networks, Vol. 112, pp. 263-278, 2017.

24 GuojuGao, Mingjun Xiao,Jie Wu, Kai Han,Liusheng Huang,and Zhenhua Zhao, "Opportunistic mobile data offloading with deadline constraints",

IEEE Transactions on Parallel and Distributed Systems, Vol. 28, No.12, pp.3584-3599,2017.

25 Muhammad Shiraz, Abdullah Gani, Azra Shamim , Suleman Khan , Raja Wasim Ahmad, "Energy efficient computational offloading framework

for mobile cloud computing" , Journal of Grid Computing, Vol.13, No.1, pp. 1-18, 2015.

26 Muhammad Shiraz, Mehdi Sookhak, Abdullah Gani, Syed Adeel Ali Shah, "A study on the critical analysis of computational offloading

frameworks for mobile cloud computing", Journal of Network and Computer Applications, Vol. 47, pp.47-60, 2015.

395-403

78.

Authors: Omer Hatem

Paper Title: Image Content based Topological Analysis for Friend Recommendation on Twitter

Abstract: Recently, there has been increase in usage of social media platform i.e., Twitter for sharing information,

personal interests and breaking news during emergencies. One of the main challenges in twitter application is friend

recommendation. In this paper, we propose a Novel Image Content based Topology Analysis for Friend

Recommendation (IICTA-FR) for overcoming the challenges of finding the similar people. In IICTA-FR, we construct

topology based tweet analysis and Image content analysis to find relevant friend for Twitter users. In this work, we

provide a framework to compute relationship strength for ties based on directed interactions between users. The

proposed ICTA-FR framework produces a directed and weighted graph where the nodes and edges represent Twitter

users, and user interactions respectively. Further, each weight in the directed edge represents about the probability of

any interaction going from the edge source to the edge destination in the future. This weight is based on both tweet

analysis and image analysis. We used hierarchical generative model for understanding the images posted in twitter

404-409

through a visual model. We used logistic regression based model for calculating the edge scores in the graph. The

proposed methodology has been validated on real Twitter data and found to give better results than the existing state of

art algorithms in terms success rate.

Keywords: Twitter, Recommendation Systems, Image, Tweet, Topology.

References: 1. J. Chen, W. Geyer, C. Dugan, M. Muller, and I. Guy, “Make new friends, but keep the old: Recommending people on social networking sites,”

in Proc. ACM CHI, Apr. 2009, pp. 201–210.

2. S. Wan, Y. Lan, J. Guo, C. Fan, and X. Cheng, “Informational friendship recommendation in social media,” in Proc. ACM SIGIR, Jul. 2013, pp.

1045–1048.

3. P. Gupta, A. Goel, J. Lin, A. Sharma, D. Wang, and

R. Zadeh. “Wtf: the who to follow service at twitter”, In

WWW, pages 505–514, 2013.

4. Davidson, J., Liebald, B., Liu, J., Nandy, P., Van Vleet, T., Gargi, U., & Sampath, D. (2010, September). The YouTube video recommendation

system. In Proceedings of the Fourth ACM Conference on Recommender Systems (pp. 293-296). ACM.

5. Schafer, J. Ben, Joseph Konstan, and John Riedl. "Recommender systems in e-commerce." Proceedings of the 1st ACM conference on Electronic

commerce. ACM, 1999.

6. Goel, A., Sharma, A., Wang, D., & Yin, Z. (2013). Discovering Similar Users on Twitter. In 11th Workshop on Mining and Learning with

Graphs.

7. Yang, S. H., Kolcz, A., Schlaikjer, A., & Gupta, P. (2014, August). Largescale high-precision topic modeling on twitter. In Proceedings of the

20th ACM SIGKDD international conference on Knowledge Discovery and Data Mining (pp. 1907-1916). ACM.

8. J. Hannon, M. Bennett, and B. Smyth, “Recommending twitter users to follow using content and collaborative filtering approaches,” in Proc.

ACM RecSys, Sep. 2010, pp. 199–206

9. N. Li and G. Chen, “Multi-layered friendship modeling for locationbased mobile social networks,” in Proc. IEEE MobiQuitous, Jul. 2009, pp. 1–

10.

10. X. Xie, “Potential friend recommendation in online social networking,” in Proc. IEEE/ACM CPSCom, Dec. 2010, pp. 831–835.

11. M. Jiang, P. Cui, W. Zhu, and S. Yang, “Scalable recommendation with social contextual information,” IEEE Trans. Knowl. Data Eng., vol. 26,

no. 11, pp. 2789–2902, Nov. 2014.

12. M. P. Kumar, P. H. S. Torr, and A. Zisserman. Obj cut. In Computer Vision and Pattern Recognition, 2005.

13. J. Li and J. Wang. Automatic Linguistic Indexing of Pictures by a statistical modeling approach. PAMI, 2003.

14. Li-Jia Li, Richard Socher, Li Fei-Fei, “Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic

Framework”, IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2009.

15. D. Hoiem, A.A. Efros, and M. Hebert. Putting Objects in Perspective. Proc. IEEE Computer Vision and Pattern Recognition, 2006.

16. K. Murphy, A. Torralba, and W.T. Freeman. Using the forest to see the trees:a graphical model relating features, objects and scenes. In NIPS

(Neural Info. Processing Systems), 2004.

17. E. Sudderth, A. Torralba, W.T. Freeman, and A. Willsky. Learning hierarchical models of scenes, objects, and parts. In Proc. International

Conference on Computer Vision, 2005.

18. Z. Tu, X. Chen, A.L. Yuille, and S.C. Zhu. Image Parsing: Unifying Segmentation, Detection, and Recognition. International Journal of

Computer Vision, 63(2):113–140, 2005.

19. Ashok Kumar P.M., Vaidehi V, “ Detection of Abnormal Temporal Patterns from Traffic Video Sequences Consisting of Interval Based Spatial

Events”, KSII Transactions on Internet and Information Systems, vol 9, issue 1, pp:169-189, jan 2015.

20. Ashok Kumar P.M., Vaidehi V, “A Transfer Learning Framework for Traffic Video using Neuro-Fuzzy approach”, Sadhana, Indian academy of

science, Springer, vol 42, issue 9, pp: 1431-1442, Sept 2017.

21. G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla, “Segmentation and recognition using structure from motion point clouds,” in ECCV,

2008.

22. P. Sturgess, K. Alahari, L. Ladicky, and P. H. S. Torr, “Combining appearance and structure from motion features for road scene understanding,”

in BMVC, 2009.

23. C. Wojek and B. Schiele, “A dynamic conditional random field model for joint labeling of object and scene classes,” in ECCV, 2008.

24. A. Ess, T. Muller, H. Grabner, and L. Van Gool, “Segmentation-based ¨ urban traffic scene understanding,” in BMVC, 2009.

79.

Authors: B.Shyamala, Brahmananda.S.H

Paper Title: Human Neurological Disorders Estimation using Different Machine Learning Techniques: Survey

Abstract: We report the findings of a total population survey of the people are becoming more and more restless and

breaking apart with the mental illness called as mental disorders. There is a terrific growth in the number of people

suffering and also the types of disorders are also rampaging in the brains of the people. With the growing technology

there has been a thorough translation and now we can use the machine learning techniques far more efficient than any

other for the prediction of disorders in the people and their conditions. The count has passed through a billion and there

are a wide variety of disorders ranging over 600+ types causing several deaths every year. By the incorporation of the

ML and DM the rationality of the prediction has increased and the dimensionality has also hiked from the past methods.

Keywords: Machine Learning, Disorders, Predictions, Data Mining.

References: 1. Comparative Analysis of Various Machine Learning Algorithms for Detecting Dementia - D Bansal, R Chhikara, K Khanna, P Gupta -

Procedia Computer Science, 2018 – Elsevier

2. Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective - YK

Kim, KS Na - Progress in Neuro-Psychopharmacology and …, 2018 - Elsevier

3. Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: “A multimodal machine

learning study” - K Hilbert, U Lueken, M Muehlhan… - Brain and …, 2017 - Wiley Online Library

4. Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning - ZS Zheng, N Reggente, E

Lutkenhoff… - Human brain …, 2017 - Wiley Online Library

5. Utility of machine-learning approaches to identify behavioral markers for substance use disorders: impulsivity dimensions as predictors of

current cocaine … - WY Ahn, D Ramesh, FG Moeller, J Vassileva - Frontiers in psychiatry, 2016 - frontiersin.org

6. Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example - P

Kassraian-Fard, C Matthis, JH Balsters… - Frontiers in …, 2016 - frontiersin.org

7. Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using

artificial neural …- A Narzisi, F Muratori, M Buscema… - Neuropsychiatric …, 2015 - ncbi.nlm.nih.gov

410-412

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https://scholar.google.co.in/citations?user=ggd80W0AAAAJ&hl=en&oi=sra

https://www.sciencedirect.com/science/article/pii/S0278584617302130

https://scholar.google.co.in/citations?user=wjGU2pMAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=wjGU2pMAAAAJ&hl=en&oi=sra

https://onlinelibrary.wiley.com/doi/abs/10.1002/brb3.633

https://onlinelibrary.wiley.com/doi/abs/10.1002/brb3.633

https://scholar.google.co.in/citations?user=oK2bDawAAAAJ&hl=en&oi=sra

https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.23370

https://scholar.google.co.in/citations?user=tbUzYxEAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=5-F_76AAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=g6je0gMAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=g6je0gMAAAAJ&hl=en&oi=sra

https://www.frontiersin.org/articles/10.3389/fpsyt.2016.00034


https://scholar.google.co.in/citations?user=01gM-roAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=gglhkP4AAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=Q9rZLkYAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=XBuBJo0AAAAJ&hl=en&oi=sra


https://scholar.google.co.in/citations?user=AtbZFNkAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=AtbZFNkAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=MP4XEFIAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=JTXcmUgAAAAJ&hl=en&oi=sra

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494609/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494609/

https://scholar.google.co.in/citations?user=Mu0IbJ0AAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=JN9jYYcAAAAJ&hl=en&oi=sra

8. Multivariate classification of social anxiety disorder using whole brain functional connectivity - F Liu, W Guo, JP Fouche, Y Wang, W

Wang… - Brain Structure and …, 2015 - Springer

9. Machine learning for neuroimaging with scikit-learn - A Abraham, F Pedregosa, M Eickenberg… - Frontiers in …, 2014 - frontiersin.org

10. Classification of autism spectrum disorder using supervised learning of brain connectivity measures extracted from synchro states - W Jamal, S

Das, IA Oprescu, K Maharatna… - Journal of neural, 2014 - iopscience.iop.org.

80.

Authors: Qutaiba Humadi Mohammed, E.Srinivasa Reddy

Paper Title: Exploring Missing Data using Adaptive LASSO Regression Imputation in Relation to Parkinson’s disease

Abstract: Parkinson’s disease (PD) belongs to a class of chronic disorders that has degenerative neurological

symptoms. In the clinical trials, different results falling in the areas of binary, ordinal, and continuous are analyzed to

detect manifestation of the symptoms of this disease. A global test statistic is used to comprehensively evaluate the

impact of all sorts of results. However, this disease predominantly faces the challenge of missing data that arise in the

clinical results for varied reasons such as dropout, death, etc., therefore, imputation of such missing data must be carried

out before conducting an intent-to-treat analysis. In fact, accuracy in data pertaining to disease progression may not be

possible through statistical analysis without application of an appropriate mechanism that effectively handles missing

data. In the p[resent paper, an Adaptive LASSO Imputation method has been proposed with its foundational basis on

item response theory so that multiple imputations can be performed while dealing with multiple sources of correlation.

The Root Mean Square Error (RMSE) formula was applied to evaluate the precision of each imputation method. The

obtained results prove the better performance analysis of the proposed technique over all the known different

algorithms.

Keywords: HDD [High –Dimensional Data], Multiple Imputations, Regression, Missing Data

References: 1. Barnard, J. and Meng, X.L. (1999). Applications of multiple imputation in medical studies: from AIDS to NHANES, Statistical Methods in

Medical Research, 8, 17–36.

2. Bennett, D.A. (2001). How can I deal with missing data in my study? Australian and New Zealand Journal of Public Health, 25, 464–469.

3. Durrant, G.B. (2005). Imputation methods for handling item-nonresponse in the social sciences: a methodological review, ESRC National

Centre for Research Methods and Southampton Statistical Sciences Research Institute. NCRM Methods Review Papers NCRM/002.

4. Donders AR, van der Heijden GJ, Stijnen T, Moons KG. Review: a gentle introduction to imputation of missing values. Journal of clinical

epidemiology. 2006;59(10):1087-91. doi: 10.1016/j.jclinepi.2006.01.014.

5. Horton, N.J. and Lipsitz, S.R. (2001). Multiple imputation in practice: comparison of software packages for regression models with missing

variables, American Statistical Association, 55, 244–254.

6. Janssen, K.J.M., Donders, A.R.T., Harrell Jr., F.E., Vergouwe, Y., Chen, Q., Grobbee, D.E. and Moons, K.G.M. (2010). Missing covariate data

in medical research: to impute is better than to ignore, Journal of Clinical Epidemiology, 63, 721–727.

7. 7 Little, R.J.A. and Rubin, D.B. (2002). Statistical analysis with missing data, 2nd ed., New York: John Wiley and Sons, Inc., 381 pages.

8. Little, R.J.A. (1988). A test of missing completely at random for multivariate data with missing values, Journal of American Statistical

Association, 83, 1198–1202.

9. Little, R. (2011). Calibrated Bayes, for Statistics in general, and missing data in particular, Statistical Science, 26, 162–174.

10. Popov, S. (2006). Large‐scale data visualization with missing values, Technological and Economic Development of Economy, 12, 44-49..

11. Rubin, D.B. (1987). Multiple imputation for nonresponse in surveys, 1st ed., New York: John Wiley and Sons, Inc., 258 pages.

12. Rubin, D.B. and Schenker, N. (1991). Multiple imputation in health-care databases: An overview and some applications, Statistics in Medicine,

10, 585–598.

413-421

81.

Authors: Mohanasundari L, Sivakumar P, Chitra N

Paper Title: Feature Extraction through Chaotic Metrics for Weld Flaw Classification

Abstract: Most of the Mechanical structures formed by metals are only through the fusion of metals at high

temperatures through various welding methods. The strength of the structures depends only on the perfection in welding

process failing in which would lead to loss of structural stability. This ultimately results in disasters and attracts huge

investment to reconstruct the structures. It is always preferred to check the quality of the weld before the final welded

structure is used for its actual application. Though visual inspections could solve problems tentatively valid for low

production rates, there are scenarios where visual inspection fails and needs high end methods to analyze the quality of

welded joints. Several measurement techniques have evolved and help the user community. The paper aims at

proposing a novel feature extraction namely, Kolmogorov-Sinai Entropy which is widely used in chaotic analysis. The

classification of weld flaws are done along with the additional metrics such as kurtosis and skewness calculated from

the x-ray images took from ‘GRIMA’ open database.

Keywords: community. GRIMA’ ultimately Kolmogorov-Sinai application.

References: 1. J. L. Rose and G. P. Singh, “A pattern recognition reflector classification study in the ultrasonic inspection of stainless steel pipe welds,” Br. J.

Nondestr. Test., vol. 21, no. 6, pp. 308-311, Nov. 1979.

2. J. L. Rose, M. J. Avioli, and M. E. Lapides, “A physically modeled feature based ultrasonic system for IGSCC classification,” Materia1.r

Evaluation, vol. 40, no. 13, pp. 1367-1383, Dec. 1982.

3. Timothy J. Case, and Robert C. Waag, ‘Flaw Identification from Time and Frequency Features of Ultrasonic Waveforms', IEEE

TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL, VOL. 43, NO. 4, JULY 1996.

4. Y.S. Tarng, H.L. Tsai, S.S. Yeh, ‘Modeling, optimization and classification of weld quality in tungsten inert gas welding’, International Journal

of Machine Tools & Manufacture vol. 39 (1999),pp- 1427–1438.

5. Sylvie Legendre, Daniel Massicotte, Jacques Goyette, and Tapan K. Bose, ‘Neural Classification of Lamb Wave Ultrasonic Weld Testing

Signals Using Wavelet Coefficients’, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 50, NO. 3, JUNE

2001.

6. Yongjoon Cho and Sehun Rhee, 'Quality Estimation of Resistance Spot Welding by Using Pattern Recognition With Neural Networks', IEEE

TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 53, NO. 2, APRIL 2004.

7. J. Mirapeix, P.B. Garcı´a-Allende, A. Cobo, O.M. Conde, J.M. Lo´ pez-Higuera, 'Real-time arc-welding defect detection and classification with

principal component analysis and artificial neural networks', NDT&E International 40 (2007) pp.315–323.

422-426

https://link.springer.com/article/10.1007/s00429-013-0641-4

https://scholar.google.co.in/citations?user=AI2szVUAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=lTgW-VcAAAAJ&hl=en&oi=sra

https://www.frontiersin.org/articles/10.3389/fninf.2014.00014

https://scholar.google.co.in/citations?user=__-U_CcAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=PJQNw9oAAAAJ&hl=en&oi=sra

http://iopscience.iop.org/article/10.1088/1741-2560/11/4/046019/meta

https://scholar.google.co.in/citations?user=MS2f4SMAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=AnvxAbkAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=AnvxAbkAAAAJ&hl=en&oi=sra

https://scholar.google.co.in/citations?user=9lfTPQ0AAAAJ&hl=en&oi=sra

8. Yuan Li, You Fu Li, Qing Lin Wang, De Xu, and Min Tan, ‘Measurement and Defect Detection of the Weld Bead Based on Online Vis ion

Inspection’, IEEE TRANSACTIONSON INSTRUMENTA TION AND MEASUREMENT, VOL. 59, NO. 7, JULY 2010.

9. Giuseppe Casalino, Sabina Luisa Campanelli and FabrizioMemola Capece Minutolo, 'Neuro-Fuzzy Model for the Prediction and Classification

of the Fused Zone Levels of Imperfections in Ti6Al4V Alloy Butt Weld', Journal of Advances in Materials Science and Engineering Volume

2013, Article ID 952690, 7 pages http://dx.doi.org/10.1155/2013/952690.

10. Gülser Köksal , _Inci Batmaz, Murat Caner Testik, ‘A review of data mining applications for quality improvement in manufacturing industry’,

Expert Systems with Applications 38 (2011) 13448–13467.

11. Faiza Mekhalfa, Nafaa Nacereddine, 'Multiclass Classification of Weld Defects in Radiographic Images Based on Support Vector Machines',

2014 Tenth International Conference on Signal-Image Technology & Internet-Based Systems.

12. Shibata, H 2001, ‘KS entropy and mean Lyapunov exponent for coupled map lattices’, Physica A, vol. 292, pp. 182-192.

13. Wolf, FA, Swift, JB, Swinney, HL & Vastano, JA 1985, ‘Determining Lyapunov exponents from a time series’, Physica D, vol. 16, pp. 285-

317.

14. Sano, M & Sawana, Y 1985, ‘Measurement of the Lyapunov spectrum from a chaotic time series’, Physical Review Letters, vol. 55, pp. 1082-

1085.

15. Abarbanel, HDI, Brown, R & Kennel, MB 1991, ‘Vibration of Lyapunov exponents on a strange attractor’, Journal of Nonlinear Science vol. 1,

pp. 175-199.

16. Brown, R, Bryant, P & Abarbanel, HD 1991, ‘Computing the Lyapunov spectrum of a dynamical system from an observed time series’, Phys.

Rev. A, vol. 43, pp. 2787-2806.

17. Rosenstein, MT, Collins, JJ & DeLuca, CJ 1993, ‘A practical method for calculating largest Lyapunov exponents from small data sets’, Phys.

D, Nonlinear Phenom, vol. 65, pp. 117-134.

18. Sekhavat, P, Sepehri, N & Wu, Q 2004, ‘Calculation of Lyapunov exponents using nonstandard finite difference discretization scheme: a case

study’, J. Differ. Equ. Appl. vol. 10, no.4, pp. 369-378.

19. Wu, Q, Sekhavat, P, Sepehri, N & Peles, S 2005, ‘On design of continuous Lyapunov’s feedback control’, J. Franklin Inst. Eng. Appl. Math.

vol. 342, no. 6, pp. 702-723.

20. Ying-Qian Zhang, Xing-Yuan Wang, “Spatiotemporal chaos in Arnold coupled logistic map lattice”, Nonlinear Analysis: Modelling and

Control, 2013, Vol. 18, No. 4, pp. 526-541.

21. Yunfei W, Qizheng Y, Xingwang L, Dan T. Classification of Dielectric Barrier Discharges Using Digital Image Processing Technology. IEEE

Transactions On Plasma Science. 2012; 40(5): 5.

22. Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. “Multi-Objective Evolutionary Algorithms for Filter Based Feature

Selection in Classification”. International Journal on Artificial Intelligence Tools, 2013.

23. MohanaSundari L, Sivakumar P. “ A comprehensive survey on Crack Detection in welded Images”, Springer book series, 2018

82.

Authors: R. Sofia, D. Sivakumar

Paper Title: Certain Investigations for Human Emotion Classification with Sugeno Model of ANFIS

Abstract: Emotion detection has always been a challenging task in our day today life. Identifying emotion of a person

will be useful in many areas like in medical field, in interviews, in education, in working environment and so on.

Human mind can be read in several ways like, by their standing position, by hand keeping position, but emotion

detection by using a human face will be a best choice because of its numerous muscle movements for even a small

emotion, and moreover hiding a real feel through face is quite difficult. Emotions are basically classified into Happy,

sad, anger, disgust, neutral, fear. The aim of this paper is achieving 100% Human emotion detection using Sugeno

model in Adaptive Neuro fuzzy interface system (ANFIS). In this work, initially the human face will be detected. From

the detected face the eyes, mouth and eyebrows are extracted and for this feature the various dimensions are measured

and the ANFIS is trained with these measurement to identify the emotion of a human. And their performance is justified

with various performance measures such as confusion matrix, Regression Plot, Mean Absolute Error, Error Plot, and

Error Histogram.

Keywords: Sugeno model, ANFIS, Confusion matrix, Error Histogram, Mean Absolute Error, Error Plot, Regression

Plot.

References: 1. Anagha S. Dhavalikar, RK. Kulkami, “Face detection and facial expression recognition system,” pulished in “Electronics and communication

systems(ICECS)”, 2014, IEEE International conference on 13-14 Feb.2014.

2. S.P. Kahandit, Dr. R.C. Thool, P.D. Khandait ,“Comparative Analysis of ANFIS and NEURAL approach for expression Recognition using

Geometry Method ”, International Journal of Advanced Research in computer science and software Engineering, Vol. 2, Issue 3 March-2012.

3. Swathi Mishra, Avinash Dhole ,”An Effectal approach for facial expression recognition using ANFIS”,International Journal of Advanced

research in computer and communication engineering vl.44, Issue 5, May 2015.

4. Swathi Mishra, Avinash Dhole,” Design and implementation of Facial expression recognition using adaptive Neuro fuzzy classifier”,

International Journal of Engineering and Computer Science, Vol.5, Issue 8, August 2016, page. No. 17555-17561.

5. V Gomathi, Dr. K. Ramar and A. Santhiyaku Jeevakumar , “A Neuro fuzzy approach for facial expression recognition using LBP histograms”,

International Journal of Computer Theory and Engineering, Vol.2, No.2, April 2010.

6. S.P. Khandait, R..C. Thool, P.D.. Khandait, “ANFIS and BPNN based expression recognition using HFGA for feature extraction”, Bulletin of

Electrical Engineering and information, Vol.2, No.1, March 2013, pp:11-22, ISSN: 209—3191,

7. Phd Gheorghe Gile, Professor Nicegeorge Bizdoc,” Detecting human emotions with an adaptive Neuro fuzzy inference system”, 6th international

conference on computational Mechanics and virtual engineering comec-2015,15-16, oct-2015, Bravo, Romania.

8. Mrs. Ayesha Butalia, Dr. Maya Ingle, Dr. Parakulkarni, “Facial expression recognition for security”, International Journal of Modern engineering

research(IJMER) Vol.2 , Issue 4, July-Aug-2012.

9. S.P. Khandait, R.C. Thool, P.D. Khandait, “ANFIS and NN Based facial Expression Recognition using curvelet features”, International Journal of

computing, ISSN: 1727-6209, Vol-11, Issue 3, 255-261, 2012.

10. S.Kavitha, Varghese Paul and N.M. Jothi swaroopan, “Biometric Emotion Recognition using Adaptive Nero fuzzy inference system”, Middle

east journal of scientific research 25(8): 1644-1649, 2017, ISSN: 1990-9233, IDOSI Publications 2017.

11. Q. Javaid, M. Arif, D. Awan, M.A. Shaha, “Efficient facial expression detection by using the adaptive Neuro fuzzy inference system and the

Bezier curve”, Sindh university research journal(science series), vol.48(3), 595-600(2016).

12. Shubhangi Giripunjje, Narendra Bawane, “ANFIS based emotions recognition in speech”, KES’07/WIRN’07, proceedings of the 11 th

International Conference, KES-2007 and XVII, Italian workshop on Neural Network Conference on Knowledge Based Intelligent Information

Engineering Systems: Part 1, Pages 77-84, Springer-Verlag Berlin, Heidelbberg 2007.

13. Hayder Ankishan and Derya Yilmaz , “Comparison of SVM and ANFIS for snore related sounds classification using the largest lyapunov

exponent and entropy”, Hindawi publishing corporation Computational and mathematical Methods in Medicine, Volume 2013, Article ID 23937,

13 pages.

427-432

http://dx.doi.org/10.1155/2013/952690

http://dx.doi.org/10.1155/2013/952690

http://dx.doi.org/10.1155/2013/952690

http://www.worldscientific.com/doi/pdf/10.1142/S0218213013500243

http://www.worldscientific.com/doi/pdf/10.1142/S0218213013500243

14. Mohamed Abubakkar siddique,M, Selva Ganaesh.B, Ganeshan.R, “ANFIS classifier Based lung Tumor Severity Diagnosis”, International

journal of Advanced Research in computer science and technology, Vol.3, Issue special1, Jan—Mar 2014.

15. Sanaarjit Kar, Sujit Das, Pijush Kanti Ghosh , “Applications of Neuro fuzzy systems. A brief review and future outline”, Applied Soft

computing, Elesiver, 15(2014) 243-259.

16. A. Deepa, Dr. T. Sasi praba, “Age estimation in facial images using angular classification technique”, Advances in natural and applied sciences,

Jun.1 2015.

17. Mythi asaithambi, sujatha C, Manoharan and srinivasan subramaniyan, “Classification of respiratory abnormalities using ANFIS”, pp—65-

73,2012, Springer, Verlag Berlin Heidelberg-2012

18. Shinde A.R And Agnihotri P.P, “Comparative study of facial feature extraction, expression and emotion recognition”, IBMRD’s Journal of

Management and research, Print ISSN—2277-730. Online ISSN 234-5922, Vol.3, Issue 2, Sep-2014.

19. Rahul s. Agarwal, Urvashi N. Agrawal, “A review of emotion recognition using hybrid classifier”, International Journal of Application or

Innovation in Engineering and Management ISSN 2319-4849, Special Issue for National Conference on Recent advances in technology and

Management for integrated growth 2013. (RATMIG-2013).

83.

Authors: P. Kingston Stanley, Sanjeevi Gandhi. A, K. Suresh Kumar, S. Kalidass

Paper Title: Process Optimization of Color Removal From an Industrial Azo Dye

Abstract: Pure and hygienic water is of great demand but most of the water sources are being contaminated by a

variety of pollutants on a daily basis. Effluents from textile industries is one of the prominent causes of water pollution.

They contain a mixture of various aromatic and azo dyes, which are made of complex structures and are highly

recalcitrant. The dye color in the water bodies become a major aesthetic problem along with other ecological problems.

A number of physical and chemical methods are available for dye removal apart from aerobic and anaerobic biological

degradation. A majority of these methods have limitations and are less successful in the complete dye removal. Metal

nanoparticles are recently being employed in the decolorization of the textile dyes and they show promising results in

comparison to other conventional methods. The output of this paper is to design a high efficient process with complete

automation. Instrumentation setup plays a major role in the automation of the process.

Keywords: Color removal, Nano particle, Color optical sensor.

References: 1. Chequer FMD, de Oliveira GAR, Ferraz ERA, Cardoso JC, Zanoni MVB, de Oliveira DP “Textile dyes: dyeing process and environmental

impact” In: Gunay M (ed) Eco friendly textile dyeing and finishing. InTech Press, Crotia, 2013.

2. Fu, Y. and Viraraghavan, T., “Fungal decolorization of dye wastewaters: a review”, Bioresour. Technol. 79, 251-262, (2001).

3. Campos R, Kandelbauer A, Robra KH, Cavaco-Paulo A, Gübitz GM. Indigo degradation with purified laccases from Trametes hirsuta and

Sclerotium rolfsii. J Biotechnol. 2001 Aug 23; 89(2-3):131-9.

4. Brüschweiler, B.J., Küng, S., Bürgi, D., Muralt, L., Nyfeler, E., 2014. Identification ofnon-regulated aromatic amines of toxicological concern

which can be cleavedfrom azo dyes used in clothing textiles. Regul. Toxicol. Pharmacol. 69, 263e272.

5. Chung KT, Stevens SE Jr, Cerniglia CE. The reduction of azo dyes by the intestinal microflora.Crit Rev Microbiol. 1992; 18(3):175-90

6. Dhanjal NIK, Mittu B, Chauhan A, Gupta S. Biodegradation of textile dyes using fungal isolates. J Env Sci Technol. 2013;6(2):99–105

7. Robinson T, McMullan G, Marchant R, Nigam P. Remediation of dyes in textile effluent: a critical review on current treatment technologies with

a proposed alternative. Bioresour Technol. 2001 May; 77(3):247-55.

8. Claudinei S. Lima a,b, Karla A. Batista b, Armando Garcıa Rodrıguez b, Jurandir R. Souza c, Katia F. Fernandes “Photodecomposition and color

removal of a real sample of textile wastewater using heterogeneous photocatalysis with polypyrrole” science direct , 2015.

9. Kyung-Won Jung, Min-Jin Hwang, Dae-Seon Park, Kyu-Hong Ahn “Combining fluidized metal-impregnated granular activated carbon in three-

imensional electrocoagulation system: Feasibility and optimization test of color and COD removal from real cotton textile wastewater” by

science direct, 2 April 2015.

10. Amir Hajialia, Gevorg P. Pirumyanb “Evaluation of Turbidity and Color Removal in Treatment of Wastewater Containing Resistant Pollutants

with Ozonation” science direct on December 2014

11. Turhan. K. and Turgut. Z “Decolorization of direct dye in textile wastewater by ozonization in a semibatch bubble column reactor”, Desalination

242, 256-263, (2009).

12. Zhang, K., Kemp, K. C., & Chandra, V. “Homogeneous anchoring of TiO2 nanoparticles on graphene sheets for waste water treatment”

Materials Letters, 81, 127–130, (2012).

13. Yao, D., Chen, Z., Zhao, K., Yang, Q., & Zhang, W, “Limitation and challenge faced to the researches on environmental risk of

nanotechnology” Procedia Environmental Sciences, 18, 149–156, (2013).

14. Masciangioli, Tina, Wei-Xian Zhang. “Environmental Technologies at the Nanoscale” Environmental Science and Technology 37(5), 102A-

108A, 2003

20. Crane, R.A and Scott, T.B. Nanoscale zero-valent iron: Future prospects for an emerging water treatment technology. Journal of Hazardous

Materials, 211–212, 15, 2012, 112-125

433-437

84.

Authors: P.Vjiay Daniel, A.Sanjeevi Gandhi

Paper Title: Enhanced Conventional PID controller for Temperature Control in Woody Gasifier using Searching

Algorithms

Abstract: This paper focused on the design of improved Proportional Integral and Derivative (PID) controller in

terms of optimum parameters of PID by introducing various searching algorithms. This developed controller is used to

control the temperature of the downdraft biomass gasifier. Now days the PID controllers are widely used in many

industrial applications due to its simplified design procedures. Though, the key issue in PID controller design involved

in the optimization of optimal PID parameters for ideal system performance. In this work the Particle Swarm

Optimization (PSO) and the ANFIS based algorithm were used to obtain the PID parameters for the temperature control

of downdraft biomass gasifier. The results of the simulation are obtained and it was observed that the optimized ANFIS

PID controller is able to improve the performance of the closed-loop system compared to the Ziegler-Nichols tuning

method, and PSO techniques with respect to the transient responses and performance indices.

Keywords: PID tuning, PSO algorithm, ANFIS algorithm, optimization, Ziegler-Nichols Method, biomass Gasifier.

References: 1. M. Dogru, C.R. Howarth, G. Akay , B. Keskinler, A.A. Malik, ‘Gasification of hazelnut shells in a downdraft gasifier’., Energy 27 (2002) 415–

427

438-442

2. Kitipong Jaojaruek., ‘Mathematical model to predict temperature profile and air–fuel equivalence ratio of a downdraft gasification process’,

Energy Conversion and Management 83 (2014) 223–231.

3. Chao Ou and Weixing Lin, Comparison between PSO and GA for Parameters Optimization of PID Controller, International Conference on

Mechatronics and Automation,2006,pages={2471-2475}

4. M. Zamani, M. Karimi-Ghartemani, N. Sadati, and M. Parniani, “Design of a fractional order PID controller for an AVR using particle swarm

optimization,” Control Engineering Practice, vol. 17, no. 12, pp. 1380–1387, 2009.

5. Narinder Singh and S. B. Singh, “Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence

6. Performance,” Journal of Applied Mathematics, vol. 2017, Article ID 2030489, 15 pages, 2017. https://doi.org/10.1155/2017/2030489.

7. R. C. Panda, “Synthesis of PID controller for unstable and integrating processes,” Chemical Engineering Science, vol. 64, no. 12, pp. 2807–2816,

2009.

8. B. W. Bequette, Process Control—Modeling, Design and Simulation, Prentice Hall, New Delhi, India, 2003.

9. M. S. Arumugam and M. V. C. Rao, “On the optimal control of single-stage hybrid manufacturing systems via novel and different variants of

particle swarm optimization algorithm,” Discrete Dynamics in Nature and Society, vol. 2005, no. 3, pp. 257–279, 2005.

10. G. H. Cohen, and G. A. Coon, “Theoretical considerations of retarded control,” Transactions of ASME, vol. 75, pp. 827-834, 1953.

11. S. M. Chern, Walter P. Walawender, L. T. Fan., ‘Mass and Energy Balance Analyses of a Downdraft Biomass Gasifier’ 18 (1989) 127-151

12. Caixia Wan1, Fei Yu1, Yongcheng Zhang1, Qi Li, and James Wooten, Material Balance and Energy Balance Analysis for Syngas Generation by

a Pilot-Plant Scale Downdraft Gasifier, Journal of Biobased Materials and Bioenergy Vol. 7, 690–695, 2013

13. L. Davis, Ed., Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, NY, 1991.

14. Russell Eberhart., James Kennedy, ‘A New Optimizer Using Particle SwarmTheory’ Sixth International Symposium on Micro Machine and

Human Science 0-7803-2676-8/95 $4.00 01995 IEEE.

15. P.J. Fleming, R.C. Purshouse, “Evolutionary algorithms in control systems engineering: a survey” Control Engineering Practice 10 (2002) 1223–

1241

16. Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley

17. Juing-ShianChiou,Shun-HungTsai,Ming-TangLiu,’ A PSO-based adaptive fuzzy PID-controllers’, Simulation Modelling Practice and Theory

Volume 26, August 2012, Pages 49-59

18. T. Zeugmann, P. Poupart, J. Kennedy, X. Jin, J. Han, L. Saitta, M. Sebag, J. Peters, J. Bagnell, W. Daelemans, G. Webb, K. Ting, K. Ting, G.

Webb, J. Shirabad, J. Fürnkranz, E. Hüllermeier, S. Matwin, Y. Sakakibara, P. Flener, U. Schmid, C. Procopiuc, N. Lachiche and J. Fürnkranz,

"Particle Swarm Optimization", Encyclopedia of Machine Learning, pp. 760-766, 2011.

19. K. Lakshmanan, S. Perumal and W. Mariasiluvairaj, "Artificial Intelligence-based control for torque ripple minimization in switched reluctance

motor drives", Acta Scientiarum. Technology, vol. 36, no. 1, 2013.

20. B. Sen, U. Mandal and S. Mondal, "Advancement of an intelligent system based on ANFIS for predicting machining performance parameters of

Inconel 690 – A perspective of metaheuristic approach", Measurement, vol. 109, pp. 9-17, 2017.18.

21. J.G. Ziegler and N.B. Nichols, Optimum settings for automatic controllers. Transactions of the ASME, 64, pp. 759–768, 1942.

85.

Authors: Charles. A

Paper Title: Lab view Based Remote Location Water Level Monitoring and Control using RF Communication

Abstract: Almost 70% of earth’s surface is covered with water and from that also about 2% of the planet’s water is

fresh. Water is always a crucial part of everyday life. Due to global environmental situation, water management and

conservation is vital for human survival. In recent times many water level monitoring systems are available but those

systems does not provide all information about the water availability [2]. In this Paper we proposing new concept of

water monitoring system to accurately measure the water availability in cubic meters. This water management is

proposed for Educational institutions, large scale companies those have more water storage tanks. This is the method to

find the availability of water.

Keywords: Water is always a crucial part of everyday life.

References: 1. Abdul Latheef M M, Shinu M M, Clint Augustine, Rahul Antony," Labview Based Pid Controller For Cylindrical Tank Level Controlling",

International Advanced Research Journal in Science, Engineering and Technology Vol. 2, Issue 4, April 2015.

2. Ejiofor Virginia Ebere, Oladipo Onaolapo Francisca," Microcontroller based Automatic Water level Control System", International Journal of

Innovative Research in Computer and Communication Engineering, Vol. 1, Issue 6, August 2013.

3. Erua J. Band, Anyasi, F. I, "Design of an Automatic Water Level Controller Using Mercury Float Switch", IOSR Journal of Electronics and

Communication Engineering, Volume 9, Issue 2, Ver. II Mar - Apr. 2014.

4. Massimo Banzi, "Getting started with Arduino", O'Reilly, second edition 2011.

5. Marco Schwartz, Oliver Manickum," Programming Arduino with LabVIEW", Packt publishing 2015.

6. Mike McRoberts, "Arduino Starter Kit Manual", Earthshine Design 2009.

7. T. Sivaranjani, P. Malarvizhi and S. Manoharan,"Smart Data Acquisition Technique for Level Process using LIFA", ARPN Journal of

Engineering and Applied Sciences, VOL. 10, NO. 13, JULY 2015.

8. Jadhav, G. J(2014), “Design and Implementation of Advanced ARM Based Surveillance System using Wireless Communication, International

Journal of Advance Research in Computer Science and Management Studies”Vol 2,2014.

9. Neena Mani, Sudeesh T.P, Vinu Joseph, Titto V.D,Shamns P.S, “Design and Implementation of a Fully Automated Water Level Indicator”,

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2014 Vol 3 Issue 2, February 2014.

10. National Instruments “Getting Started with LabVIEW”, 2013.

11. National Instruments “LabVIEW Basics I Course Manual”, March 1998.

443-445

86.

Authors: A. Vimala, S.Manikandan, T.S.Aravinth, S. Birundha Devi, S. Sathiya Gopika

Paper Title: Microcontroller Based Floor Cleaning Robot

Abstract: Many of the robotic appliances are being used extensively. Here represents the technology that proposed the

working of the floor cleaner using RF technology and GSM module. This robot works on the manual mode. It performs

sweeping task upto 50m range. Here RF technology have been used to provide wireless communication between the

user and the robot. In the existing system there were many disadvantages like it performs poor cleaning, costly, we need

to preclean before using the machine and, it is carried out using wired communication. In the proposed method we have

used five motors, one for cleaning and four for movement of wheels. All operations are controlled by PIC16F877A

microcontroller. Microcontroller is the brain of robot where program is written and sensors are connected as input and

actuators as output LCD is used to display the information in which direction of robot has been moved. In the manual

mode the expected task is performed with the help of keypad. If any obstacle is detected then it sends message to the

user’s mobile which is connected with GSM module. L293D motor driver is used to drive the motors. Five motors are

446-448

https://doi.org/10.1155/2017/2030489

used in this robot and this motors are controlled by the motor driver. The whole circuit is connected with the power

supply.

Keywords: LCD, Keypad, RF Module, GSM Module

References: 1. Manreet Kaur,Preeti Abrol,”Design and Development of Floor Cleaner Robot”.In International Journal of Computer Application,July 2014.

2. Jens-steffen Gutmann,Kristen Culp,Mario E.Munich and Paolo Pirjanian.”The Social Impact of a Systematic Floor Cleaner”.In IEEE international

workshop on advance robotics an its social impacts,Technische University munchen,Germany May 21-23,2012.

3. Uman Khalid1, Muhammad Faizan Baloch1, Haseeb Haider1, Muhammad Usman Sardar1, Muhammad Faisal Khan1,2, Abdul Basit Zia1 and

Tahseen Amin Khan Qasuria1, “Smart Floor Cleaning Robot (CLEAR)”.

4. J-S. Gutmann, E.Eade, P.Fong and M.E. Munich. Vector field SLAM. IN Int. conf. on Robotics and automation (ICRA), 2010.

5. Joseph L. Jones, Newton E. Mack, David M. Nugent, Paul E. Sandin, “Autonomous floor-cleaning robot,” U.S. Patent 6883201 B2, April 6,

2005.

6. Andrew Ziegler, Christopher John Morse, Duane L. Gilbert, Jr., Andrew Jones, “Autonomous surface cleaning robot for dry cleaning,” U.S.

Patent 8782848 B2, July 22, 2014.

7. Michael Dooley, James Philip Case, and Nikolai Romanov,“System and method for autonomous mopping of a floor surface,” U.S. Patent 8 892

251 B1, November 18, 2014.

8. Harvey Koselka, Bret A.Wallach, David Gollaher, "Autonomous floor mapping apparatus,” U.S.Patent 6741054B2, May 25, 2004.

9. Manya Jain,Pankaj Singh Rawat,Assist. Prof. Jyoti Morbale,“ Automatic Floor Cleaner”. International Research Journal of Engineering and

Technology(IRJET),April-2017.

10. J Frolizzi C.Disalvo. Service robots in the domestic environment: A study of Roomba vacuum in the home”. In int. conference on human robot

interaction HRI, PAGE 258-265 March 2006.

11. Evolution Robotics Inc. Introducing Mint-the evolution of floor care, www.mintcleaner.com,2011.

87.

Authors: Sumathi K, Abirami M, Divyabharathi P

Paper Title: Multiband U Shaped Patch for C and S Band Applications

Abstract: In this paper multiband U-shaped patch antenna is designed for C and S band applications. L-shaped slots

introduced in the two corner of the patch antenna which improves the antenna performance to operate with multiband of

frequencies and also provide notch characteristics at 3 GHz. The patch is operated at four bands of frequencies.

Operating frequency of the antenna is from 1 to 10 GHz. FR-4 substrate with 4.4 dielectric constant is used for antenna

design. Simulations results are carried out by ADS tool. U-shaped patch with L slot and stub which is placed on the

defective ground plane achieves return loss upto -47dB at 1.7 GHz and 5 GHz. The gain of the patch antenna is about 6

dB.

Keywords: U shaped antenna, FR 4 substrate, Multiband, ADS tool, L shaped slot, Notch characteristics.

References: 1. ParisaLotfia, SaberSoltania, MohammadnaghiAzarmanesh, “Triple band-notched UWB CPW and microstrip line fed monopole antenna using

broken ∩-shaped slot”, Int. J. Electron. Commun. (AEÜ) 65 (2011) 734–741.

2. Pratap N. Shinde, Jayashree P. Shinde, “Design of compact pentagonal slot antenna with bandwidth enhancement for multiband wireless

applications”, Int. J. Electron. Commun. (AEÜ) 69 (2015) 1489–1494.

3. PayamBeigi, PejmanMohammadi, “A novel small triple-band monopole antenna with crinkle fractal-structure”, Int. J. Electron. Commun. (AEÜ)

70 (2016) 1382–1387.

4. N. Prema, Anil kumar, “Design of multiband microstrip patch antenna for C and X band”, Optik 127 (2016) 8812–8818.

5. Manish Sharma, Y.K. Awasthi, Himanshu Singh, Raj Kumar, SaritaKumari, “Compact printed high rejection triple band-notch UWB antenna

with multiple wireless applications”, Engineering Science and Technology, an International Journal 19 (2016) 1626–1634.

6. Bing Yang, ShaochengQu, “A compact integrated Bluetooth UWB dual-band notch antenna for automotive communications”, Int. J. Electron.

Commun. (AEÜ) 80 (2017) 104–113.

7. Hari Shankar Mewara, Deepak Jhanwar, Mahendra Mohan Sharma, Jitendra Kumar Deegwal, “A printed monopole ellipzoidal UWB antenna

with four band rejection characteristics”, Int. J. Electron. Commun. (AEÜ) 83 (2018) 222–232.

8. Noor M. Awad, Mohamed K. Abdelazeez, “Multislot microstrip antenna for ultra-wide band applications”, Journal of King Saud University –

Engineering Sciences (2018) 30, 38–45.

9. N. Sudhakar Reddy, K. Siddappa Naidu, S. Ashok Kumar, “Performance and design of spear shaped antenna for UWB band applications”,

Alexandria Engineering Journal (2018) 57, 719–722.

10. Govind R. Tapse, V.V. Yerigeri, “Printed Fork shaped Monopole Antenna for UWB Applications with Band Rejection Characteristics”, IOSR

Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 13, Issue 1, Ver. II (Jan.-

Feb. 2018), PP 06-12.

449-452

88.

Authors: Gayathree.K, Rajkumar.S, Arul Murugan, Banuselvasaraswathy.B

Paper Title: A Fuzzy Based Ultra-Nano Water Purification Technique

Abstract: Water is an essential factor for all living organism in the world. But the polluted atmosphere results in the

contamination of water. The water may be contaminated with impurities like dissolved salts, dust particles and

especially the presence of various microorganism such as bacteria, virus etc. The occurrence of these pollutants causes

several health issues. So it becomes vital to purify the water before consuming. There are various water purification

methods available today like RO, UV, UF, RO+UV, RO+UV+UF etc. However every method possesses some

drawbacks. The motive of the proposed ultra-Nano purification method is to provide an efficient water purification

method which provides pure water suitable for drinking along with essential minerals. In addition it also overcomes the

drawback of present techniques.

Keywords: Reverse Osmosis (RO), Ultra Violet Rays purification (UV),Ultra Filtration (UF),Total Dissolved Salts

(TDS) and Ultra-Nano Purification (UN).

References: 1. Hardikkumar V. Shrimali, (2015): “A Brief Review on Reverse Osmosis Technology”,International Journal of Research in Advent Technology,

453-457

http://www.mintcleaner.com,2011/

Vol.3, No.5

2. Aiyin Chen, Qian Fan, and Qing Tian, (2013): “Study on Dynamic of Ultrafiltration Membrane Materials Preparing and Used in Drinking Water

Treatment”,International Journal of Environmental Science and Development, Vol. 4, No. 4

3. Pawar Avinash Shivajirao, (2012): Treatment of distillery wastewater using membrane technologies International Journal of Advanced

Engineering Research and Studies, IJAERS, Vol. I, Issue III, 275-283

4. S.S.Phuse, R.S.Shelke, (2012): “Water Purification System for Remote Areas Using Photovoltaics”, International Journal of Engineering

Research and Applications (IJERA) Vol. 2, Issue4, pp.2014-2018.

5. L. L. Zhang and G. Ping, (2008): “Research progress of microfiltration and ultrafiltration technology for treatment of micro-polluted source

water,” membrane science and technology in China, vol. 34, pp. 56- 63

6. W. Jiao and S. L. Ming, (2008): “Ultrafiltration membrane materials and the trend of development,” chemical engineering and equipment in

China, pp. 71-84

7. G. B. Li, Y. L. Yang, and X. Li, (2008) :“Some thoughts on conventional treatment of city drinking water technology upgrading,” membrane

technology forum in China.

8. Y. X. Yang, W. B. Wu, and M. Zhang, (2005): “Research progress and development trend of preparing ultrafiltration membrane materials,” grain

and oil in China, vol. 68, pp. 17-25.

9. Bodalo-Santoyo, A., J.L. Gomez-Carrasco, E. Gomez-Gomez, M.F. Maximo-Martin and A.M. Hidalgo-Montesinos,(2004):”Spiral wound

membrane reverse osmosis and the treatment of industrial effluents,” Desalination, 160: 151-158

10. J.S. Taylor, E.P. Jacobs, (1996): Water Treatment Membrane Processes. McGraw-Hill, Inc. New York, Chapter nine

11. Garud R. M., Kore S. V.; Kore V. S.; Kulkarni G. S.; “A Short Review on Process and Applications of Reverse Osmosis”, Universal Journal of

Environmental Research and Technology, Volume 1, Issue 3: 233-238.

12. R. S. Gawaad; S. K. Sharma S.; S. Sambi. Comparative Study of Nano and Ro Membrane For Sodium Sulphate Recovery From Industrial Waste

Water

89.

Authors: R.Prema, K. Anuradha, Sakthi Sabreesh K, Sree Valsan R

Paper Title: Arduino Based Semi-Autonomous Vision Biped Robot

Abstract: Robots are extensively used in Research and Development. Agriculture and Home automation systems

play a vital role in this autonomous world. By interfacing image and voice sensor a semi – autonomous biped robot

using MATLAB and ARDUINO is developed. The main objective of this robotic system is to harvest the vegetables

from the farm using image sensor. This is done by detecting and comparing predefined images with live video snap shot

with in limited time. Another feature of this robot is to pick and place the objects in home. This robot can be used for

various domestic purposes.

Keywords: Semi – autonomous biped robot, MatLab, Arduino, Detection and recognition.

References: 1. Shrikant N. Sarda, Dr. V.T. Ingole and Prof.V.K.Patil “Object Detection and Recognition by Image Parsing using Matlab Wavelet Technique”

International Journal Of Computer Science And Applications, Vol. 6, No.2, Apr 2013, ISSN: 0974-1011 (Open Access).

2. Prakash Chandran, Mohit Jaswal, Dr. T.V.U Kiran Kumar, Mrs. Raji Pandurangan “Autonomous Biped Robot Using Arduino” International

Journal of Science, Engineering and Technology Research (IJSETR) Volume 4, Issue 4, April 2015.

3. Gollu Naveen Kumar “Moving Object Detection and Tracking Using MATLAB GUI with ARDUINO” International Journal of Innovative

Research in Electrical, Electronics, Instrumentation and Control Engineering ISO 3297:2007 Certified Vol. 4, Issue 9, September 2016.

4. Vishnu R. Kale, V. A. Kulkarni “Automation Of Object Sorting System Using Pick & Place Robotic Arm & Image Processing” Proceedings of

3rd IRAJ International Conference, 5th January 2014, Mumbai, India. ISBN: 978-93-82702-51-1.

5. Harika Nanduri, Dr. Manoj Soni, “Vision Controlled Pick And Place ff Moving Object by 3r Robot”, 2(4), 2016.IJARIIE-ISSN(O)-2395-4396.

6. Rahul Kumar, Sanjesh Kumar, Sunil Lal, Praneel Chand. “Object Detection and Recognition for a Pick and Place Robot”, IEEE Asia-Pacific

World Congress on Computer Science. 2015.

458-460

90.

Authors: Ajiz Muhammad Khaerul, Farouk Maricar, Subhan Mustari

Paper Title: Sedimentation Rate Analysis in Ponre-Ponre Dam and Estimate the Service Age of the Dam

Abstract: Sediment is the result of erosion process, either in the form of surface erosion, trench erosion, or other types

of soil erosion. The increase of percentage of sediment in dam which increases rapidly each time, causing dam dredging

and affecting dam capacity and service age of dam. This study discusses sedimentation sediment volume, sedimentation

rate, sediment distribution, and estimated service age of Ponre-Ponre Dam in Bone, South Sulawesi. Sediment volume

of sediments deposited at each elevation is marked by reduced dam volume. Sedimentation rate that occurs based on the

sediment volume that stays every year. The service age of the dam is indicated by the reduction of the dam's dead

reservoir. The volume of sediments occurring at the Ponre-Ponre Dam in 2016 reached 8.7965437 X106m3. The rate

sedimentation that occurred around 1.2566491 X106 m3/year. The dam’s planned service age is 50 years old but the

measurement results does not support. By comparing the actual sedimentation rate with the reservoir planning data, if

there is conformity it is necessary to do maintenance and if there is a faster estimate than the actual plan then it needs to

be done sediment handling that occurs.

Keywords: Dam, Reservoir, Sediment, Service age

References: 1. Y. Mei, B. P. Mao, "Study on characteristics of water-sediment transport in Chenglingji-Wuhan reach of the middle Changjiang river before

and after the Three Gorges Reservoir impoundment", Journal of Basic Science and Engineering, vol. 15,

2. Pingping Luo, Bin He and Kaoru Takara, "Sustainability and Life Span of Japanese Reservoirs-Statistic analysis of sedimentation condition in

Japan," 2011 International Symposium on Water Resource and Environmental Protection, Xi'an, 2011, pp. 2125-2128.

3. Reani, Hanafi, Misdi, Triantisto and A. Setiadi, "Quality Water for Relative Hydroelectric Life Assesment," 2006 IEEE 8th International

Conference on Properties & applications of Dielectric Materials, Bali, 2006, pp. 486-489.

4. Sweet, "China's big dams," in IEEE Spectrum, vol. 38, no. 9, pp. 46-51, Sept. 2001.

5. Yang, W. Wang, D. Cheng and H. Yang, "Reservoir impoundment influence on river flow regime," 2011 International Symposium on Water

Resource and Environmental Protection, Xi'an, 2011, pp. 1087-1089.

6. S. Karapetyan and B. M. Mamikonyan, "The measuring of dynamic parameters of unctioning water storage dams," Proceedings. 2005

International Conference Physics and Control, 2005., Saint Petersburg, Russia, 2005, pp. 853-858.

7. L. Morris, J. Fan, Reservoir Sedimentation Handbook: Design and Management of Dams Reservoirs and Watersheds for Sustainable Use, New

461-465

York:McGraw-Hill, 1998.

8. M. Dhandre, P. D. Kamalasekaran and P. Pandey, "Dam parameters monitoring system," 2016 7th India International Conference on Power

Electronics (IICPE), Patiala, 2016, pp. 1-5.

9. J. Alias and O. M. Yusof, "Real time reservoir operation information system displaying elevation — Storage curve using hydrographic survey

data," 2011 IEEE Control and System Graduate Research Colloquium, Shah Alam, 2011, pp. 86-89.

91.

Authors: Hairol Nizam Mohd Shah, Zalina Kamis, Mohd Fairus Abdollah, Alias Khamis, Mohd Shahrieel Mohd Aras,

Mohd Rizuan Baharon, Ifwat Nor Azni

Paper Title: Vision Based Obstacle Avoidance for Mobile Robot using Optical Flow Process

Abstract: The paper is discuss on develop and implement a vision based obstacle avoidance for mobile robot using

optical flow process. There are four stages in this project which are image pre-processing, optical flow process, filtering,

object stance measuring and obstacle avoidance. The optical flow process are an image resizing, set parameters, convert

color to grayscale, Horn-Schunk method and change grayscale image to binary number. Next process is a filtering done

by smoothing filter then image center will be defined. The maximum distance object from a camera has been set as 20

cm. Therefore, the decisions of the robot to move whether left or right are based on the direction of optical flow. This

avoidance algorithm allows the mobile robot to avoid the obstacles which are in different shape either square or

rectangular. A friendly graphical user interface (GUI) had been used to monitor the activity of mobile robot during run

the systems.

Keywords: Optical flow, smoothing filter, mobile robot, obstacle avoidance

References: 1. Cao and H. Sun, “ Establish the Special Virtual Manipulator Model for Mobile Robot Obstacle Avoidance and Path Planning”, Proceedings of

International Conference on Information Acquisition, pp. 511-516, 2007.

2. Hairol Nizam Mohd Shah, Mohd Zamzuri Ab Rashid, Nur Maisarah Mohd Sobran, Rozilawati Mohd Nor, Zalina Kamis “Autonomous Mobile

Robot Vision Based System: Human Detection By Color.”, Journal of Theoretical & Applied Information Technology, vol 55(2), pp. 183-189,

2003.

3. Erdogan DUR, “Optical Flow Based Obstacle Detection and Avoidance Behaviours for Mobile Robots Used in Unmanned Planetary

Exploration”, Istanbul, Turkey, pp. 638-647,2009.

4. Hairol Nizam Mohd Shah, Mohd Zamzuri Ab Rashid and Tam You Tam “Develop and Implementation of Autonomous Vision Based Mobile

Robot Following Human”, International Journal of Advanced Science and Technology, vol. 52, pp. 81-91, 2013.

5. Chia-Ho Ou, “A localization scheme for wireless sensor networks usimg mobile anchors with directional antennas”, Vol 11, No. 7,July 2011.

6. Kim, D. Kim, Y. Cha, “An Embodiment of Stereo Vision System for Mobile Robot for Real-time Measuring Distance and Object Tracking”

International Conference on Control. Automation and System pp. 1029-1033, 2007

7. Rudolph Triebel and Wolfram Burgard, “Improving Simultaneous Mapping and Localization in 3D Using Global Constraints”, American

Association for Artificial Intelligence, pp. 1330-1335, 2005.

8. Chu Andrew J. Davison and David W. Murray, “Simultaneous Localization and Map-Building Using Active Vision”, Ieee Transactions On

Pattern Analysis And Machine Intelligence, Vol. 24, No. 7,pp. 860-880, 2002.

9. Rui Lin, and Zhenhua Wang, “ Vision Based Mobile Robot Localization and Mapping Using the PLOT features”, Chengdu, China, pp. 1921-

1927, 2012

10. Chang an Liu and Zhenhua Wei, “A new algorithm for mobile robot obstacle avoidance based on hydrodynamics” ,Beijing, China, pp. 2310-

2313, 2007

11. Hongche Guo, Cheng Chao, and Junyou Yang, “Research on obstacle avoidance control algorithm of lower limbs rehabilitation robot based on

fuzzy control”, Shenyang, China, pp. 151-155, 2009

12. Yu Chen Lin,. Che Tsung Lin and Wei Cheing Liu, “A vision based obstacle detection system for parking assistance”, Hsinchu, Taiwan,

pp.1627-1630, 2013.

13. K. Liyanage,. M.U.S Perera, “Optical Flow based obstacle avoidance for the visually impaired”, Colombo, Sri Lanka, pp. 284-289, 2012.

14. Liu, Z. Cao, “Outdoor Target Tracking and Positioning Based on Fisheye Lens” International Conference on Artificial Intelligence and

Computational Intelligence, pp. 158-162, 2009.

15. Akihisa Ohya,. Akio Osaka and Avinash Kak, “Vision-based navigation by a mobile robot with obstacle avoidance using single camera vision

and ultrasonic sensing ”, Vol 14, No 6 ,December,1998.

16. Hairol Nizam Mohd Shah, Marizan Sulaiman, Ahmad Zaki Shukor, Zalina Kamis, Azhan Ab Rahman, “Butt welding joints recognition and

location identification by using local thresholding”, Robotics and Computer-Integrated Manufacturing, vol. 51, pp. 181-188, 2018.

17. Hairol Nizam Mohd Shah, Marizan Sulaiman, Ahmad Zaki Shukor, “Autonomous detection and identification of weld seam path shape

position”, The International Journal of Advanced Manufacturing Technology, vol. 92(12),pp. 3739–3747, 2017.

18. HNM Shah, MZA Rashid, MF Abdollah, MN Kamarudin, Z Kamis, A Khamis, “Detection of Mobile Object in Workspace Area”,

International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 9(4), pp. 225-232, 2016.

19. HNM Shah, MZA Rashid, Z Kamis, MN Kamarudin, MF Abdollah, A Khamis. Implementation of Object Recognition Based on Type of

Vehicle Entering Main Gate. Indonesian Journal of Electrical Engineering and Computer Science. vol. 3(2).pp. 458-467, 2016.

466-470

92.

Authors: S. Pranesh, A. Gowtham, M. Jeyasuriya, S. Dineshbabu, B. Karthickraja

Paper Title: Investigation of Some Mechanical Properties of Al-6063 Alloy Using Multi Axial Forging

Abstract: Multiaxial Forging is one of the main deformation process which is used to refine the size of the grain

material.In the present work AA 6063 alloy has been processed through MAF die with a different number of forging

cycles. From the microstructural analysis of the forged samples,it is observed that the grain refinement was obtained

with increasing number of forging cycles.. The mechanical property in terms of hardness and compressive stress was

also investigated and reported.

Keywords: Multiaxial Forging, AA 6063 alloy, Microstructural analysis.

References: 1. Dang Van, B. Griveau, and O. Message. On a new multiaxialhigh cycle fatigue limit criterion: Theory and application, biaxial and multiaxial

fatigue..EGF3, 479–496, 1989.

2. Morel and L. Flaceliere. Data scatter in multiaxial fatigue: from the infinite to the finite fatigue life regime InT J. Fatigue 27, 2005.

3. A.Salishchev,O.R.Valiakhmetov,V.A.Valitov,andS.K.Mukhtarov,Submicrocrystalline and Nanocrystalline Structure Formation inMaterials

and Search for Outstanding Superplastic Properties, Proceedings of the Conference on Superplasticity in Advanced Materials ICSAM-94, Vol

170–172, Materials Science Forum, 1994, p 121–130

471-476

4. V. Zherebtsov, G.A. Salishchev, R.M. Galeyev, O.R. Valiakhmetov, S.Y. Mironov, and S.L. Semiatin, Production of

SubmicrocrystallineStructure in Large-Scale Ti-6Al-4V Billet by Warm Severe Deformation Processing, Scr. Mater., 2004, 51, p 1147–1151

5. Lebensohn and C.N. Tome, A Self-Consistent Anisotropic Approach for the Simulation of Plastic Deformation and Texture Development of

Polycrystals: Application to Zirconium Alloys, ActaMetall. Mater., 1993, 41, p 2611–2624

6. N. Tome, G.R. Canova, U.F. Kocks, N. Christodoulou, and J.J.Jonas, The Relation Between Macroscopic and Microscopic Strain Hardening in

fccPolycrystals, Acta Metall., 1984, 32, p 1637–1653

7. J. Han and Z. Xu, Grain Refinement Under Multi-Axial Forging in Fe-32%Ni Alloy, J. Alloys Compd., 2008, 457, p 279–285

8. Bhowmik, S. Biswas, D. Satyaveer Singh, A. Sarkar, R.K. Ray, D. Bhattacharjee, and S. Suwas, Microstructure and Texture Evolution in IF

Steel Processed by Multi-Axial Forging, Mater. Forum, 2011, 702– 703, p 774–777

9. Z. Valiev, Structure and Mechanical Properties of Ultrafine Grained Metals, Mater. Sci. Eng. A, 1997, 234, p 59–66

10. R, Sheeba Rani.S, Gomathy.V,Sharmila .P, ‘Cancer detecting Nanobot using Positron Emission Tomography’,Elsevier Proceedia Computer

Science, Vol.133, pp.315-322

11. Lim SM, Wahabi ME. The refinement of grain structure in a high purity a-iron base alloy under multiaxial compression.Adv Mater Res

2007;15–17:900–5.

12. Lim SM, Wahabi ME, Desrayaud C,Montheillet F. Microstructural refinement of an Fe–C alloy within the ferritic range via two different strain

paths. Mater SciEng A 2007;460–461:532–41.

13. Han BJ, Xu Z. Grain refinement mechanism of Fe-32 Ni alloys during multiaxialforging. Mater SciTechnol 2006;22:1359–63.

14. Sheeba Rani, R.Maheswari, V.Gomathy and P.Sharmila “Iot driven vehicle license plate extraction approach” in International Journal of


93.

Authors: K. Balasubramanian, G. Teddy Jefri, K. M. Vivek Anandh, S. Vimalraj

Paper Title: Certain Investigation on the Failure of AA7075 Aluminum Alloy, Pure Aluminum Materials and Tools

During the Process of Friction Stir Welding

Abstract: Failure evaluation for base materials, namely AA7075 aluminum alloy and pure aluminum and tool material

have been identified during the process of friction stir welding (FSW). Though the friction stir welding is considered as

ideal for joining the nonferrous materials, it is difficult to avoid flaws in all materials particularly while using improper

welding parameters. The flaws like insufficient penetration at the bottom of the weld and the pores are easily taken

place when the materials are welded at a faster rate or welded with a small application of pressure. The present work

aims to investigate the failure of base metal and tool material. Pure Aluminum metal and solution heat treated and

artificially aged 7075 aluminum alloy has been friction stir welding and failures are investigated. A failure in the

AA7075 alloy base metal is the result of welding with precipitate condition in which no fusion occurs in the base metal

by using HSS tool. A failure in the pure Aluminum is due to lack of penetration of the tool and stirring effect. Welding

with this condition leads to decrease the hardness and tensile strength. Torsion impact causes the failures in the tool

materials.

Keywords: FSW, defects, FSW parameters, AA7075 alloy, a pure aluminu

References: 1. Thomas, W.M., Nicholas, E.D., Needham, J.C., Murch, M.G., Temple Smith, P. and Dawes, C.J. Friction Stir Butt Welding. International

Patent Application No. CT/GB92/02203, GB Patent Application No.9125978.8, UK Patent office, London, 1991.

2. Sheeba Rani, V.Gomathy and R.Geethamani, “Embedded design in synchronisation of alternator automation” in International Journal of


3. Grujicic, M., Arakere, G., Yalavarthy, H.V., He, T., Yen, C.F. and Cheeseman, B.A. Modeling of AA5083 material-microstructure evolution

during butt friction stir welding. Journal of Materials Engineering and Performance, 19(5), 2010, pp.672–684.

4. Nandan, R., DebRoy, T. and Bhadeshia, H. Recent advances in friction stir welding process, weldment structure and properties. Progress in

Material Science, 53(6), 2008, pp.980–1023.

5. Hassan, Kh.A.A., Prangnell, P.B., Norman, A.F., Price, D.A. and Williams, S.W. Effect of welding parameters on nugget zone microstructure

and properties in high strength aluminium alloy friction stir welds. Science and Technology of Welding and Joining, 8 (4), 2003, pp.257-268

6. Crawford, R., Cook, G. E., Strauss, A. M., Hartman, D. A. and Stremler, M. A. Experimental defect analysis and force prediction simulation

of high weld pitch friction stir welding. Journal Science and Technology of Welding and Joining, 11 (6), 2006, pp.657-665

7. Judy Schneider, Ronald Beshears. and Arthur C. Nunes. Interfacial sticking and slipping in the friction stir welding process. Materials Science

and Engineering A, 435-436, 2006, pp.297-304

8. Elangovan, K. and Balasubramanian, V. Influence of pin and rotational speed of the tool on the formation of friction stri processing zone in

AA2219 aluminium alloy. Materials Science and Engineering,459, 2007, pp.7-18

9. Kim, Y.G., Fujii, H., Tsumura, T., Komazaki, T. and Nakata, K. Three defect in friction stir welding of aluminum die casting alloy. Materials

Science and Engineering A, 415, 2006, pp.250-254

10. Ruzek, R. and Kadlec, M. Friction stir welded structure: kissing bond defects. International Journal of Terraspace Science and Engineering,

6(2), 2014, pp.77-83

477-481

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