Technical sponsorship IEEE Romania section IEEE Industry ... of Abstracts 2019.pdfValeriu Manuel...

Series: ELECTRONICS, COMPUTERS and ARTIFICIAL

INTELLIGENCE – ECAI-2019

UNIVERSITY OF PITESTI

Technical sponsorship IEEE Romania section

IEEE Industry Applications Society

Book of Abstracts of the 11th International Conference on

ELECTRONICS, COMPUTERS and

ARTIFICIAL INTELLIGENCE – ECAI-2019

Series: ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE

Vol. 11 – No. 1/ 2019 ISSN – 1843 – 2115

Media IEEE Catalog Number ISBN

Compliant PDF Files CFP127U-ART 978-1-7281-1624-2

USB CFP1927U-USB 978-1-7281-1623-5

Vol. 11 – No. 1/ 2019 ISSN – 1843 – 2115



USB CFP1927U-USB 978-1-7281-1623-5

Series: ELECTRONICS, COMPUTERS and ARTIFICIAL

INTELLIGENCE – ECAI-2019

EDITORS - IN - CHIEF

TAKESHI YAMAKAWA

ASSOCIATE EDITORS:

Keynote, Electronic Circuits & Equipment Mihai Oproescu

Software & Computer Applications Mihai Oproescu, Ioan Lita

Electrical Engineering, Microwaves & EMC, Bio-medical applications Gabriel Iana Control, robotics and mechatronics Mihai Oproescu

Workshop IWSSS 2019 Emil Pricop

Workshop OCSC 2019, Workshop IWTOTC 2019, Workshop IWAE 2019 Mihai Oproescu, Mihaela Rodica

Teodorescu

E-SESSION & POSTER Corina Savulescu

PROCEEDINGS’ EDITORS: NICU BIZON

Volume text proccesing: MIHAI OPROESCU

EDITORIAL ADVISORY BOARD Adina Magda Florea (Ro) Dorel Aiordachioaie (Ro) Ioan Florea Hantila (Ro) Musa Yilmaz (Tr)

Adriana Florescu (Ro) Driss Mehdi (Fr) Ioan Lita (Ro) Naser M. Tabatabaei (Ir)

Alexandru M. Morega (Ro) Dumitru Popescu (Ro) Ioan Nicolaescu (Ro) Nesimi Aktas (Tr)

Alexandru Serbanescu (Ro) El Emary M. Ibrahiem (Jo) Ion Bogdan (Ro) Nicolae D Alexandru (Ro)

Amit Chaudhry (In) Emil Pricop (Ro) Ion Sima (Ro) Nicolae Paraschiv (Ro)

Angela Russo (It) Emil Simion (Ro) Ion Tutanescu (Ro) Nicolae Tapus (Ro)

Anthony C. Davies (UK) Ersan Kabakci (Tr) Ires Iskender (Tr) Nicolae Voicu (Ro)

Arif M. Hashimov (Az) Eugene Roventa (Canada) Iulian Rincu (Ro) Nicu Bizon (Ro)

Avireni Srinivasulu (In) Fary Z. Ghassemlooy (UK) Jaafar M.H.Elmirghani (UK) Ozan Erdinc (Tr)

Calin Vladeanu (Ro) Zdenek Vostracky (Cz) Javier J. B. Landatxe (Es) Patrick Coirault (Fr)

Catalin Buiu (Ro) Filippo Spertino (It) Jean-Paul Gaubert (Fr) Peter Hill (UK)

Cengiz Taplamacioglu (Tr) Florin Constantinescu (Ro) Jiri Pinker (Cz) Petrica Ciotirnae (Ro)

Cezar Plesa (Ro) Florin Ghe. Filip (Ro) Liviu Goras (Ro) Radu Dobrescu (Ro)

Charles Shoniregun (UK) Franco Maloberti (It) Luca Dan Serbanati (Ro) Romeo Calarasu (Ro)

Chingiz Hajiyev (Tr) Fuad F. Mammadov (Az) Lucian Anton (Ro) Salem M.Abdel-Badeeh (Eg)

Constantin Paleologu (Ro) Gabriel Radulescu (Ro) Lucien Dascalescu (Fr) Sergiu Nedevschi (Ro)

Constantin Vertan (Ro) George Lojewski (Ro) Maaruf Ali (KSA) Silviu Ionita (Ro)

ConstantinNegoita (USA) Gheorghe Brezeanu (Ro) Madalina Georgescu (Ro) Sorin Puscoci (Ro)

Cornel Ioana (Fr) Gheorghe Gavriloaia (Ro) Marian Gaiceanu (Ro) Stefan V. Nicolaescu (Ro)

Cornel Panait (Ro) Gheorghe Serban (Ro) Mihail Aurel Titu (Ro) Svasta Paul (Ro)

Corneliu Burileanu (Ro) Gianfranco Chicco (It) Miguel Salmeron (USA Takeshi Yamakawa (Jp)

Cosmin Popa (Ro) Hakan Kuntman (Tr) Mihaela Ungureanu (Ro) Teodor Petrescu (Ro)

Cristian Negrescu (Ro) Harold Szu (USA) Mihai Maricaru (Ro) Terence Goh (Sg)

Cristian Patrascioiu (Ro) Hasan Kaplan (Al) Mihai Tarâta (Ro) Toshitaka Yamakawa (Jp)

Daniel Caragata (Cl) Henri-George Coanda (Ro) Mihai Togan (Ro) Vasile Lazarescu (Ro)

Daniel Pasquet (Fr) Horia Andrei (Ro) Milan Stork (Cz) Victor Valeriu Patriciu (Ro)

Daniela Tarniceriu (Ro) Horia N. Teodorescu (Ro) Mircea Ivanescu (Ro) Vlad Budu (Ro)

Dmitry Pavlyuchenko (Ru) Hossein Shayeghi (Ir) Mircea Stefanescu (Ro) Vyacheslav Tuzlukov (So.K)

Doina Banciu (Ro) Ioan Dumitrache (Ro) Mohammad Alim (USA) Wim Melis (UK)

Zdzislaw Polkowski (Po) Nitul Dutta (In)

ECAI conference organizers

UNIVERSITY OF PITESTI

Faculty of Electronics, Communications and

Computers

'GHEORGHE ASACHI' TECHNICAL

UNIVERSITY, IASI

Faculty of Electronics, Telecommunications and

Information Technology

POLITEHNICA UNIVERSITY OF

BUCHAREST

Faculty of Electronics, Telecommunications and

Information Technology

Faculty of Automatic Control and Computers

NEVŞEHİR HACI BEKTAŞ VELİ

UNİVERSİTY

Faculty of Engineering and Architecture, Nevşehir

Vocational School

PETROLEUM - GAS UNIVERSITY OF

PLOIESTI

Faculty of Mechanical and Electrical Engineering ,

Department of Automation, Computers and

Electronics

'VALAHIA' UNIVERSITY, TARGOVISTE

Faculty of Electrical Engineering, Electronics

and Information Technology

MILITARY TECHNICAL ACADEMY,

BUCHAREST

Faculty of Electronics and Informatics Military

Systems

UNIVERSITY OF ORADEA

FACULTY OF ELECTRICAL ENGINEERING

AND INFORMATION TECHNOLOGY

NATIONAL COMMUNICATIONS

STUDIES AND RESEARCH INSTITUTE

INSCC- Bucharest

FUZZY LOGIC SYSTEMS INSTITUTE

FUKUOKA, JAPAN NUCLEAR RESEARCH INSTITUTE, Mioveni

JAN WYZYKOWSKİ UNİVERSİTY,

Polkowice, Poland

Edited by University of PITESTI

ADDRESS: Street Târgu din Vale, No. 1, 110040, Piteşti, Argeş Romania

978-1-7281-1624-2/19/$31.00 ©2019 IEEE

Plenary Session P

Bio-medical applications S1

Artificial Intelligence S2

Electronic circuits and equipments S3

Continued at back cover

Contents

ECAI - 2019 reviewers list

Abdel-Badeeh Salem, Adrian Iordachescu, Adriana Florescu, Ali Hessami, Alin

Mazare, Alper Görgün, Andrei Gheorghiu, Badre Bossoufi, Bogdan Constantin

Neagu, Bogdan-Adrian Enache, Calin Vladeanu, Cingiz Haciyev, Constantin

Paleologu, Constantin Vertan, Cornel Ioana, Cornel Talpalariu, Cornelia-Mihaela

Novac, Cosmin Popa, Cosmin Stirbu, Cristian Hoarca, Dan Popescu, Daniel Pasquet,

Daniel Visan, Daniela Tarniceriu, Darine Ameyed, Doina Banciu, Dorel

Aiordachioaie, Dumitru Cazacu, Emil Pricop, Emil Simion, Erol Kurt, Ersan Kabalci,

Eugen Diaconescu, Felix Albu, Fernando Georgel Birleanu, Florentina Magda Enescu,

Florin Birleanu, Florin-Gheorghe Filip, Gabriel Radulescu, George Lojewski, George-

Robert Sisman, Gheorghe Gavriloaia, Gheorghe Grigoras, Gheorghe Serban,

Gianfranco Chicco, Grigore Stamatescu, Henri Coanda, Horia Andrei, Horia-Nicolai

Teodorescu, Hossein Shayeghi, Ioan Lita, Ioan Nicolaescu, Ioan-Mircea Gordan, Ion

Bica, Ion Bogdan Cioc, Ionel Bostan, Ionita Silviu, Ires Iskender, Iulian Ciocoiu,

Jaouhar Fattahi, Javier Bilbao, Jiri Pinker, Laurentiu Ionescu, Lidia Dobrescu,

Loretta Ichim, Lucian Dascalescu, Luminita Mirela Constantinescu, M.Cengiz

Taplamacioglu, Maaruf Ali, Mariam Ibrahim, Marian Gaiceanu, Marian Raducu,

Mariana Iorgulescu, Marin Radut, Marius Minea, Mihaela Oprea, Mihaela

Teodorescu, Mihaela Ungureanu, Mihai C. Arva, Mihai Maricaru, Mihai Oproescu,

Mihail Aurel Titu, Milan Stork, Mircea Raceanu, Mircea-Danuț Pantea, Mircea-

Novac Stefanescu, Mirel Stanica, Mironela Pirnau, Mohamed Mejri, Mustafa DoĞan,

Mustapha Jamma, Naser Tabatabaei, Necmi Altin, Nicolae Militaru, Nicolae

Paraschiv, Nicoleta Angelescu, Nicu Bizon, Nitul Dutta, Norocel Codreanu, Octavian

Ionescu, Ovidiu Grigore, Ovidiu-Constantin Novac, Paul Burciu, Pavol Sokol, Petre

Anghelescu, Pooya Davari, Radu-Emil Precup, Răzvan Albu, Robert Beloiu, Sanda

Florentina Mihalache, Savulescu Corina, Sever Pasca, Sorin Puscoci, Sorin Soviany,

Stefan Simion, Takeshi Yamakawa, Teodor Petrescu, Valentin Alexandru Stan,

Valeriu Manuel Ionescu, Vasile Cirtoaje, Vasile-Gabriel Iana, Victor-Emil Neagoe,

Victor-Valeriu Patriciu, Yasin Kabalci, Zdzislaw Polkowski

Vol. 11 – No. 1/ 2019 ISSN – 1843 – 2115



USB CFP1927U-USB 978-1-7281-1623-5

Keynote Lectures

EVOLVING FUZZY AND NEURAL NETWORK MODELS OF FINGER DYNAMICS FOR

PROSTHETIC HAND MYOELECTRIC-BASED CONTROL 1 Radu-Emil Precup, Co-authors: Teodor-Adrian Teban and Adriana Albu

COMPARISON OF ELECTROMAGNETIC ENERGY HARVESTERS 3

Erol Kurt

LYAPUNOV-FUNCTION-BASED CONTROL OPTIONS FOR GRID-CONNECTED

INVERTERS 4 Ibrahim Sefa

HYBRID SYSTEMS FOR ELECTRICAL GENERATION WITH ENERGY STORAGE 5

Slim Tnani

UNEXPECTED APPLICATION-SPECIFIC DIGITAL IMAGE ACQUISITION ERRORS 6

Constantin Vertan

Bio-medical applications & biomaterials

MEASURING GLUCOSE BLOOD WITH SPECTROSCOPY SKIN IN NEAR INFRARED 7

Ionescu Marius and Pașca Sever

ANALYSIS OF PRIMARY-SIDE SERIES COMPENSATION OF INDUCTIVE CHARGERS

FOR BIOMEDICAL IMPLANTABLE DEVICES 8 Eleni Gati, Sotirios Kokosis, Nikolaos Patsourakis and Stefanos Manias

EVOLVING FUZZY AND NEURAL NETWORK MODELS OF FINGER DYNAMICS FOR

PROSTHETIC HAND MYOELECTRIC-BASED CONTROL 9 Radu-Emil Precup, Teodor-Adrian Teban and Adriana Albu

ANALYSIS OF LOCAL BINARY PATTERN FOR EMPHYSEMA CLASSIFICATION IN

LUNG CT IMAGE 10 Eva Tuba, Ivana Strumberger, Nebojsa Bacanin and Milan Tuba

ESTABLISH: A SMART HEALTH PLATFORM FOR ENHANCING THE QUALITY OF LIFE

11 George Suciu, Adrian Pasat, Mihaela Balanescu, Ioana Suciu, Alexandru Banaru and Iacob

Crucianu

A BIOMETRIC SECURITY MODEL WITH CO-OCCURRENCE MATRICES FOR

PALMPRINT FEATURES 12 Sorin Soviany and Sorin Puscoci

ONLINE POWERTOSSIM SIMULATOR FOR WIRELESS SENSOR NETWORKS 13

Anas Al-Roubaiey and Hamdi Al-Jamimi

Communications

HYBRID VLC COMMUNICATION SYSTEM FOR SMALL TO MEDIUM SIZE ENTERPRISES 14

Andrei Scheianu and George Suciu

MASSIVE MIMO TECHNOLOGY FOR 5G ADAPTIVE NETWORKS 15

Cristina-Gabriela Gheorghe, Radu Dragomir and Dan Alexandru Stoichescu

THREAT CLASSIFICATION IN CURRENT COMMUNICATION INFRASTRUCTURES 16

Ioan Constantin, Cristian Patachia, Carmen Patrascu, Andrei Avadanei and Lucian Nitescu

FEMTOCELL OUTAGE DETECTION IN MULTI-TIERED NETWORKS USING LSTM 17

Hasan Tahsin Oğuz, Aykut Kalaycıoğlu and Ahmet Akbulut

CENTRALISED MULTI-HOP ROUTING FOR DEVICE-TO-DEVICE COMMUNICATION:

SIMULATION AND RESULTS 18 Mustafa Khaleel Hamadani and Husam Al-Alwash

A METHOD FOR IMPROVING THE ACCURACY OF DIRECTION OF ARRIVAL

MEASUREMENT BASED ON SPARSE VECTOR ESTIMATION 19 Ionela-Cristina Voicu, Silviu Ciochină and Andrei Anghel

AN ANALYSIS OF CRYPTOGRAPHIC ALGORITHM STRENGTH BASED ON S-BOX

PROPERTIES 20 Roxana Dragomir, Sergiu Maluțan and Marilena Lazăr

ENERGY EFFICIENT TRUST-BASED SECURITY MECHANISM FOR WIRELESS SENSORS

AND UNMANNED AERIAL VEHICLES 21 Valentin-Alexandru Vladuta, Ion Bica and Victor-Valeriu Patriciu

PERFORMANCE ANALYSIS OF TRANSMITTER IDENTIFICATION BASED ON I/Q

IMBALANCE ESTIMATION 22 Özlem Alpergün, Selçuk Taşcıoğlu and Memduh Köse

BLIND DETECTION OF IMPULSE RADIO UWB TIME- HOPPING PULSES USING THE

PHASE SPACE TRANSFORMATION 23 Florin Diaconescu

ZIGBEE LOCALIZATION SYSTEM FOR PUBLIC TRANSPORT VEHICLES 24

Valentin Iordache, Razvan Andrei Gheorghiu, Valentin Alexandru Stan and Madalina Tarla

ASSESSMENT OF ZIGBEE COMMUNICATIONS EFFICIENCY FOR TRUCK PLATOONING

APPLICATIONS 25 Razvan Andrei Gheorghiu, Valentin Iordache and Marius Minea

USAGE OF BLUETOOTH SCANNERS TO DETECT URBAN TRAFFIC

26 Razvan Andrei Gheorghiu, Valentin Alexandru Stan, Valentin Iordache, Dorin Buretea and

Ilona Madalina Costea

Control, robotics and mechatronics

DESIGN OF A STRING-ENCODER AND IMU BASED 6D POSE MEASUREMENT SYSTEM 27

Ekrem Yavuz, Yavuz Şenol, Merih Özçelik and Hüseyin Aydın

FPGA IMPLEMENTATION OF MULTICHANNEL FIR FILTERS 28

Ibrahim Sefa and Cihan Aydin

RELIABLE FPGA-BASED CAMERA SENSOR FOR NCS

29 Hadeer Ahmed, Gehad Alkady, Hassan Halawa, Ramez Daoud, Hassanien Amer, Ihab Adly,

Tarek Refaat and Manar Shaker

MODELING AND SIMULATION OF QUADROTOR UAV USING PID CONTROLLER 30

Mehmet Karahan and Cosku Kasnakoglu

MODELLING AND CONTROL OF PAPER DRYING PLANT 31

Cristian Patrascioiu and Sinziana Radulescu

NETWORKED CONTROL SYSTEM ARCHITECTURE FOR AUTONOMOUS UNDERWATER

VEHICLES WITH REDUNDANT SENSORS 32 Kareem Alansary, Ramez Daoud, Hassanein Amer and Hany Elsayed

AN APPROACH FOR ESTIMATING THE TOTAL HEAT TRANSFER RATES IN EMBEDDED

SYSTEMS 33 Tudor - George Alexandru and Cristina Pupaza

A DEEP CNN FOR IMAGE ANALYTICS IN AUTOMATED MANUFACTURING PROCESS

CONTROL 34 Manuella Kadar and Daniela Onita

A CASE STUDY OF MULTI-ROBOT SYSTEMS COORDINATION USING PSO SIMULATED

IN WEBOTS 35 Stan Alexandru-Calin and Oprea Mihaela

Electrical engineering applications

MEASURING AND MAINTAINING THE WATER LEVEL IN A TANK FOR EFFICIENT USE

IN IRRIGATION 36 Ionut Craiu, Florian Ion, Nicolae Fidel, Ramona Chirescu and Mihail-Florin Stan

PROTECTION METHODS AND ACTIONS TO INCREASE THE SAFETY OF OPERATION IN

POWER SYSTEMS ASSIMILATED TO CRITICAL INFRASTRUCTURES 37 Ioan Marinescu, Horia Andrei and Ionut Iordache

DESIGN CONSIDERATIONS ON FLAT AND LOW RIPPLE REAL-TO-REAL TWO-SECTION

IMPEDANCE TRANSFORMER 38 Stefan Simion

COMPARATIVE NUMERICAL ANALYSIS OF THE STORED MAGNETIC ENERGY IN

CYLINDRICAL AND TOROIDAL SUPERCONDUCTING MAGNETIC COILS 39 Dumitru Cazacu, Radu Jubleanu, Nicu Bizon and Cristian Monea

THE NUMERICAL MODELING OF THE INDUCTIVE HEATING PROCESS AT DIFFERENT

FREQUENCIES, USING THE FLUX2D SOFTWARE 40

Mihaela Cornelia Novac, Marius Codrean, Ovidiu Constantin Novac, Mihaela Codrean, Mihai

Oproescu and Gyöngyi Bujdosó

ASPECTS REGARDING THE NUMERICAL SIMULATION OF THE INDUCTIVE HEATING

PROCESS, USING THE FLUX2D AND FEMM SOFTWARE 41

Mircea Gordan, Dorina Mioara Purcaru, Marius Codrean, Mihaela Cornelia Novac, Ovidiu

Constantin Novac and Mihaela Codrean

Electronic circuits and equipments

THE USE OF NUCLEAR QUADRUPOLE RESONANCE SPECTROSCOPY FOR DETECTION

OF PROHIBITED SUBSTANCES: TECHNIQUES AND EQUIPMENT 42 Cristian Monea and Nicu Bizon

HADOOP ZEDBOARD CLUSTER WITH GZIP COMPRESSION FPGA ACCELERATION 43

Ovidiu Plugariu, Lucian Petrica, Radu Pirea and Radu Hobincu

SIMULATION OF POWER FACTOR CORRECTED AC-DC BOOST CONVERTER 44

Zeynep Bala Duranay and Hanifi Guldemir

QUALITATIVE ANALYSIS OF THE TIME-FREQUENCY IMAGES OF VIBRATIONS IN

FAULTY BEARINGS 45 Dorel Aiordachioaie and Sorin Pavel

EXPERIMENTAL POWER SUPPLY ASSESSMENT FOR USUAL IT APPLICATIONS 46

Adrian Tulbure, Calin Petrascu and Valentin Voiculescu

DISMANTLING THE CONFUSION BETWEEN THE EQUIVALENT CO2 AND CO2

CONCENTRATION LEVELS 47 Gaudentiu Varzaru, Adrian Zarnescu, Razvan Ungurelu and Mihai Secere

E-session

INTELLIGENT ALARM SYSTEM FOR HOSPITALS USING SMARTPHONE TECHNOLOGY 48

Bashar Sami and Marwa Ismail

A FRAMEWORK FOR FRAUD DETECTION IN GOVERNMENT SUPPORTED NATIONAL

HEALTHCARE PROGRAMS 49 Irum Matloob and Shoab Khan

SHRAVYA - A FRAMEWORK FOR ENUNCIATION OF SANSKRIT WORDS AND PHRASES 50

Eravatee Raje, Apoorva Maheshwari, Mihir Karkare and Shubham Joshi

A NOVEL SENTIMENT POLARITY AND PREDICTION ENHANCED MACHINE LEARNING

METHOD TO IMPROVE CUSTOMER RELATIONSHIP 51 Amit Kumar and Neetesh Gupta

INTELLIGENT MONITORING OF VITAL PARAMETERS IN WIRELESS APPLICATIONS:

ANDROID SOLUTION FOR PULSE AND BODY TEMPERATURE 52 Radu Rădescu and Rareș Niculescu

AUTOMATIC ANALYSIS OF POTENTIAL HAZARD EVENTS USING UNMANNED AERIAL

VEHICLES 53 Radu Rădescu and Mihaela Dragu

PATCH SELECTION DENOISER: AN EFFECTIVE APPROACH DEFENDING AGAINST

ONE-PIXEL ATTACKS 55 Dong Chen, Ruqiao Xu and Bo Han

AGENT APPLICATIONS IN E-LEARNING SYSTEMS AND CURRENT DEVELOPMENT

AND CHALLENGES OF ADAPTIVE E-LEARNING SYSTEMS 56 Hiba A. Abu-Alsaad

MINING DATA FOR HUMAN RESOURCES 57

Andreea Nedelcu, Bogdan Nedelcu, Alexandru Ioan Sgarciu and Valentin Sgarciu

ACCELERATING BALANCE SHEET ADJUSTMENT PROCESS IN COMMERCIAL LOAN

APPLICATIONS WITH MACHINE LEARNING METHODS 58 İbrahim Tozlu, Şule Gündüz Öğüdücü, Atılberk Çelebi, Sacide Kalaycı and Seçil Arslan

BUILDING END-TO-END TASK-ORIENTED DIALOGUE SYSTEMS VIA CNNS AND

ATTENTION MECHANISMS 59 Meina Song, Zhongfu Chen, Peiqing Niu and Haihong E

USABILITY EVALUATION OF IPHONE BUILT-IN APPLICATIONS 60

Saja Al-Dabet and Shaidah Jusoh

SHIELD: AN INTELLIGENT AND AFFORDABLE SOLUTION FOR HOME SECURITY 61

Aimen Shahid, Mahroo Ali, Mariam Eijaz, Dr.Sidra Minhas and Nosheen Sabahat

PROPAGATION MODELS APPROACH FOR HUMAN SPECIFIC ABSORPTION RATE

STUDY 62 Loubna El Amrani, Tomader Mazri and Nabil Hmina

KERATOCONUS DETECTION ALGORITHM USING CONVOLUTIONAL NEURAL

NETWORKS: CHALLENGES 63 Alexandru Lavric, Valentin Popa, Cristina David and Cristian Costel Paval

NONLINEARITY DEGREE FOR CPP, 4-PP, AND 5-PP INTERLEAVERS FOR TURBO CODES 64

Lucian Trifina, Daniela Tarniceriu and Ana-Mirela Rotopanescu

PROFESSIONAL TRAINING OF STAFF FROM ORGANIZATIONS THROUGH THE GROW

METHOD 65 Delia Duminica

HUMAN AND ARTIFICIAL INTELLIGENCE: THE PARTNERSHIP THAT IMPARTS HOPE 66

Aurel Mihail Titu and Alexandru Stanciu

MAXIMUM POWER POINT TRACKING TECHNIQUES AND SUN TRACKING TECHNIQUE

IN SOLAR ARRAY SYSTEM 67 Saloua Marhraoui, Ahmed Abbou, Zineb Cabrane, Abdellah Ziouh and Mustapha Jamma

CONSTRUCTING KEYWORD PROPAGATION MAP OF FACEBOOK PAGES. 68

Soraya Chalard and Sukree Sinthupinyo

ELECTRONIC SYSTEM FOR ASSESSING AND ANALYSING DIGITAL COMPETENCES IN

THE CONTEXT OF KNOWLEDGE SOCIETY 69 Doina Banciu, Ionut Petre and Mihail Dumitrache

PROTON-EXCHANGE MEMBRANE FUEL CELLS: THE RENEWABLE ENERGY ERA 70

Alexandru Lavric, Maria Simona Raboaca, Constantin Filote and Ana Maria Nasture

MEDIA LITERACY IN A CHANGING PROCESS IN TURKEY

71 Olga Untila Kaplan

Expert systems & Artificial Intelligence

HYBRID MODELLING BASED ON SUPPORT VECTOR REGRESSION WITH GENETIC

ALGORITHMS FOR INTELLIGENT WI-FI-BASED INDOOR LOCALIZATION SYSTEM 72 Hamdi Al-Jamimi and Anas Al-Roubaiey

L0 REGULARIZATION BASED FINE-GRAINED NEURAL NETWORK PRUNING METHOD 73

Qixin Xie, Chao Li, Boyu Diao, Zhulin An and Yongjun Xu

DRONE, AIRCRAFT AND BIRD IDENTIFICATION IN VIDEO IMAGES USING OBJECT

TRACKING AND RESIDUAL NEURAL NETWORKS 74 Armando Fernandes, Márcia Baptista, Luis Fernandes and Paulo Chaves

OBJECT DETECTION IN AUTONOMOUS DRIVING - FROM LARGE TO SMALL

DATASETS 75 David-Traian Iancu, Alexandru Sorici and Adina Magda Florea

JAPANESE CHARACTER RECOGNITION WITH MICROSTRIP LINE NETWORKS

76 Marian Novac, Bogdan Marian Bodea, Petre Anghelescu, Bogdan Mihai Gavriloaia, Octavian

Fratu and Mariuca Gavriloaia

DREAM PRINCIPLES AND FAIR METRICS FROM THE PORTAL-DOORS PROJECT FOR

THE SEMANTIC WEB 77

Adam Craig, Adarsh Ambati, Shiladitya Dutta, Pooja Kowshik, Sathvik Nori, S. Koby Taswell,

Qiyuan Wu and Carl Taswell

ARTIFICIAL LOCUST SWARM ROUTING ALGORITHM: DECISION MAKING IN PATH

SEARCH PROBLEM 79 Vladyslav Alieksieiev and Andrii Berko

CAR PARK OCCUPANCY RATES FORECASTING BASED ON CLUSTER ANALYSIS AND

KNN IN SMART CITIES 80 Maria Viorela Muntean

FAST AUTOMATIC EXPOSURE ADJUSTMENT METHOD FOR IRIS RECOGNITION

SYSTEM 81

Vitaly Gnatyuk, Sergey Zavalishin, Xenya Petrova, Gleb Odinokikh, Alexey Fartukov, Alexey

Danilevich, Vladimir Eremeev, Juwoan Yoo, Kwanghyun Lee, Heejun Lee and Daekyu Shin

UNCONVENTIONAL PUBLIC TRANSPORT ANONYMOUS DATA COLLECTION

EMPLOYING ARTIFICIAL INTELLIGENCE 82 Marius Minea, Catalin Dumitrescu and Ionuț Cosmin Chiva

International Workshop on “Research Advancement in Forthcoming Networking and

Communication Technologies (RAFNCT-2019)”

DEPLOYMENT AND COVERAGE IN WIRELESS SENSOR NETWORK: A PERSPECTIVE

83 Pradeep Kumar Singh, Yashwant Singh, Jahangir Ahmad Lone, Zdzislaw Polkowski, Sudeep

Tanwar and Sudhanshu Tyagi

MACHINE LEARNING-BASED SOFTWARE EFFORT ESTIMATION : AN ANALYSIS

84 Pradeep Kumar Singh, Zdzislaw Polkowski, Jayneel Vora, Sudeep Tanwar, Sudhanshu Tyagi

and Yashwant Singh

PERFORMANCE OF VARIOUS ALGORITHMS TO REDUCE THE NUMBER OF

TRANSMITTED PACKETS BY SENSOR NODES IN WIRELESS SENSOR NETWORK 85

Muhammed Ihsan Husni, Nayef Alduais, Ion Marghescu, Mohammed Hussein and Jiwa

Abdullah

A NEURAL NARX APPROACH FOR EXCHANGE RATE FORECASTING 86

Thitimanan Damrongsakmethee and Victor-Emil Neagoe

THE USE OF THE CLONAL SELECTION ALGORITHM FOR NQR SIGNAL DETECTION

OPTIMIZATION 87 Vasile-Gabriel Iana, Cristian Monea and Mihai Oproescu

APPLICATION OF GENETIC ALGORITHM FOR OPTIMIZATION OF NQR SIGNAL

DETECTION 88 Mihai Oproescu, Vasile-Gabriel Iana and Cristian Monea

International Workshop on Optical Communication Systems Connectivity

THE EFFECT OF BOUNDARY CONDITIONS AND MATERIAL PARAMETERS ON THE

TEMPERATURE OF HIGH POWER LEDS 89 Niculina Draghici

DESIGN OF AN LED-BASED SOLAR SPECTRUM SIMULATOR FOR PORPHYRIN DYE-

SENSITIZED SOLAR CELL CHARACTERIZATION 90 Ana Barar, Alina Elena Marcu, Paul Schiopu and Marian Vladescu

TUNABLE SELECTIVE PLASMONIC ANGLE-LARGE METAMATERIAL ABSORBER 91

Aurelian Costea, Paul Schiopu and Marian Vladescu

NEXT LEVEL FOR FIBER OPTIC PROJECTS DEPLOYMENTS 92

Cornel Barbut

International Workshop on Trends and Opportunities in Teaching Career

EMPLOYING SOFTWARE AGENTS AND CONSTRUCTIVISM TO MAKE MASSIVE OPEN

ONLINE COURSES MORE STUDENT-ORIENTED 93 Ufuoma Apoki and Gloria Crisan

A COMPARATIVE ANALISIS OF STAFF TRAINING PROGRAMMES 94

Claudiu Langa, Sofia-Loredana Tudor, Adriana-Nicoleta Lazăr and Emanuel Soare

MORE TECHNOLOGIZED IS NOT MORE EDUCATED 95

Alexandru Mărchidan

NONVERBAL CUMMUNICATION IN JOB INTERVIEWES. A CASE STUDY ON LOCAL

ORGANISATIONS 96 Elena Popescu and Tudorel Popescu

TENDENCY OF REMOVAL OF THE MEDIA FROM OFFICIAL COMMUNICATION OF

PUBLIC INSTITUTIONS 97 Florin Stoica

THE ROLE OF EDUCATION IN THE DEVELOPMENT OF PSYCHO-BEHAVIORAL SANOGENESIS MODELS IN CONTEMPORARY SOCIETY 98

Ioana Dumitru

IMPLEMENTATION OF THE EUROPEAN QUALITY ASSESSMENT FRAMEWORK IN THE

ROMANIAN EDUCATION SYSTEM 99 Maria Pescaru and Cristina Maria Pescaru

THE NATIONAL QUALITY ASSURANCE SYSTEM IN ROMANIA 100

Maria Pescaru

THE COMPETENCE OF LEARNING TO LEARN– AN INDICATOR OF EMPLOYABILITY IN

THE LABOR MARKET 101 Sofia-Loredana Tudor

DETERMINANTS OF LEARNING MOTIVATION FROM THE PERSPECTIVE OF SELF

DETERMINATION THEORY 102 Stan Maria Magdalena and Plaiasu Adriana Gabriela

International Workshop on Trends and Opportunities in Teaching Career POSTER

ROMANIAN PRE-UNIVERSITY EDUCATION FROM THE PERSPECTIVE OF SCHOOL

MANAGEMENT 103 Jianu Eugenia, Mihai Oproescu and Dumitru Tudosoiu

SCHOOL AND PROFESSIONAL ORIENTATION TO ADOLESCENTS 104

Mihai Oproescu, Eugenia Jianu, Ionut Bulgaru and Delia Duminica

MEDIA, PUBLIC OPINION AND THE CONTEMPORARY COMMUNICATION 105

Georgiana Drăghici

E-LEARNING IN COMPUTER-ASSISTED TRAINING, ADVANTAGES, DISADVANTAGES

AND FUTURE TRENDS 106 Mihai Oproescu, Vasile-Gabriel Iana, Eugenia Jianu and Mihaela-Roxana Anghel

THE ROLE OF EDUCATION IN THE DEVELOPMENT OF PSYCHO-BEHAVIORAL

SANOGENESIS MODELS IN CONTEMPORARY SOCIETY 107 Georgiana DUMITRU and Ana Apetroaiei

IMPLEMENTATION OF THE EUROPEAN QUALITY ASSESSMENT FRAMEWORK IN THE

ROMANIAN EDUCATION SYSTEM 108 Georgiana DUMITRU

THE COMPETENCE OF LEARNING TO LEARN– AN INDICATOR OF EMPLOYABILITY IN

THE LABOR MARKET 109 Maria Claudia Ionescu and Andreea Stan

THE ENGINEER PROFESSOR, A NEW GULLIVER TRAVELLING THROUGH THE

UNIVERSE OF THE METHODS 110 Florin TECAU and Cristina TECĂU

JOB PERCEPTIONS AND TRAINING NEEDS OF SOCIAL WORKERS FROM RURAL

AREAS - COMPARATIVE RESEARCH IN SEVEN EUROPEAN COUNTRIES 111 Maria Claudia Ionescu and Lucia Neagoe

THE FULLDOME DOCUMENTARY FILM IN THE CONTEMPORARY MEDIA AND

EDUCATIONAL CONTEXT -GENERAL CONSIDERATIONS 112 Cîrstea Petre Remus

International Workshop on Systems Safety & Security-IWSSS' 19

MALWARE’S DOUBLE ANTI ANALYSIS (DAA) ANALYSIS METHODOLOGY 113

Yanis Beqqali, Hamza Es Sadik, Francine Herrmann and Fabrice Sabatier

A METHOD OF DECREASING CONNECTABILITY OF DERIVED DATA, USING LOCAL

DIFFERENTIAL PRIVACY 114 Hidenobu Oguri

METHODOLOGY OF DARK WEB MONITORING 115

Nicolas Ferry, Thomas Hackenheimer, Francine Herrmann and Alexandre Tourette

SMART GRID PROTECTION USING MAC VALUE ANALYSIS 116

Balduino Estison Mugilila Camachi, Dan Popescu and Loretta Ichim

EVALUATION OF ATTACKER SKILL LEVEL FOR MULTI-STAGE ATTACKS 117

Terézia Mézešová, Pavol Sokol and Tomáš Bajtoš

SPECTRUM OPTIONS AND WIRELESS COMMUNICATION SOLUTIONS FOR DRONES 118

Laurențiu Gabriel Militaru, Dan Popescu and Loretta Ichim

ON THE DEVELOPMENT OF A ROBUST CYBER SECURITY SYSTEM FOR INTERNET OF

THINGS DEVICES 119

Octavian Ionescu, Viorel Dumitru, Emil Pricop, Octavian Buiu, Cornel Cobianu, Mihai Raneti,

Stefan Pircalabu and Costin Marica

Poster

SINGLE SENSOR BLUETOOTH MULTILATERATION FROM ARBITRARY LOCATIONS 120

Xavier Quinn

THE IMPACT OF TECHNOLOGY AND INNOVATION DEVELOPMENT ON POPULATION

DYNAMICS AND STRUCTURE 121 Cristina Teodora Balaceanu, Daniela Penu and Dorina Mocuta

VIRTUAL INSTRUMENT USED FOR PLOTTING THE ROOT LOCUS 122

Teodorescu Rodica-Mihaela

VIRTUAL INSTRUMENT USED FOR STUDYING THE STABILITY OF THE SYSTEMS 123


IOT BASED SYSTEM FOR SMART AGRICULTURE 124

Ioana Marcu, George Suciu, Cristina Mihaela Balaceanu and Alexandru Banaru

INVESTIGATION OF THE DIFFERENT MODELS PERFORMANCE FOR EVALUATING THE

DISTURBANCE IN THE IONOSPHERE 125

Kareem Difar, Jalal Hussein Abd Ali, Amer Abbood Al-Behadili, Maysam Kadhim Kareem, Ali

Raad Deaim and Mustafa Khaleel Hamadani

CONVERSION TOOL FOR AUDIO-VIDEO FILE COMPATIBILITY IN MOODLE E-

LEARNING PLATFORM 126 Banes Vasile, Babarada Florin and Ravariu Cristian

MANAGEMENT SOFTWARE FOR A PUBLISHING COMPANY 127

George Cosmin Stanica and Petre Anghelescu

SOFTWARE FOR MODELING, SIMULATION AND PROTOTIPING RTT ROBORTS 128

Sîrb Vali-Chivuța

A REVIEW OF DIFFERENT ESTIMATION METHODS OF DC OFFSET VOLTAGE FOR

PERIODIC-DISCRETE SIGNALS 129 Mihai-Catalin Arva, Eugen Diaconescu, Mirel Stanica and Nicu Bizon

CURRENT CONSUMPTION ANALISYS FOR 8-BIT MICROCONTROLLERS 130

Alexandru Buturuga, Rodica Constantinescu and Dan Stoichescu

A DEEP CNN APPROACH WITH TRANSFER LEARNING FOR IMAGE RECOGNITION 131

Cristian Iorga and Victor-Emil Neagoe

DESIGN AND ANALYSIS OF A NEW G-SHAPE SINGLE LAYER REFLECTARRAY

ANTENNA 132 Noor Naeem and Musa Wali

SOLUTION TO CONNECT A PHOTOVOLTAIC POWER STATION TO THE NATIONAL

POWER GRID IN OPTIMUM ECONOMIC CONDITIONS 133 Angelo Nicolae Petre, Brana Liliana Samoila and Ilie Utu

SMART SERVICE SYSTEMS: SECURITY AND PRIVACY CHALLENGES IN THE

INTERNET OF THINGS 134 George Suciu, Hussain Ijaz, Roxana Damian, Ioana Petre, Gabriel Petrescu and Oana Chenaru

A CASE STUDY IN THE USABILITY EVALUATION OF AN ONLINE PUBLIC SERVICE

USED BY SENIORS 135 Adriana Alexandru, Dragos Daniel Iordache, Maria Gheorghe-Moisii and Eugenia Tirziu

UNCERTAINTY-BASED DECISION MAKING IN THE PLANNING OF ELECTRIC

TRANSMISSION NETWORKS 136 Bogdan Constantin Neagu and Gheorghe Grigoras

PERFORMANCE EVALUATION OF THE VOIP NETWORKS USING TUNNELING

TECHNIQUES 137 Petrica Ciotirnae and Lucian Murariu

PRELIMINARY CONSIDERATIONS REGARDING THE CRYPTOGRAPHIC STRENGTH OF

THE PIXEL SIEVE CRYPTOGRAPHIC PRIMITIVE 138 Incze Arpad

POWER MONITORING IN EMBEDDED SYSTEMS USING PAC1934 139


RANSOMWARE HONEYPOT 140

Cristian Pascariu and Ionut - Daniel Barbu

ORIGINAL ELECTRIC CORKSCREW WINE BOTTLE OPENER

141 Tudor Cătălin Apostolescu, Silviu Petrache, Georgeta Ionaşcu, Lucian Bogatu and Cartal

Laurențiu Adrian

THE ESTIMATION OF MONTHLY ELECTRICAL ENERGY CONSUMPTION WITH FEED

FORWARD NEURAL NETWORKS 142 Alexandru Ene and Cosmin Stirbu

AUTOMATIC GENERATION OF QUIZZES FOR JAVA PROGRAMMING LANGUAGE 143

Alexandru Ene and Cosmin Stirbu

DESIGN AND IMPLEMENTATION OF A HOME AUTOMATION SYSTEM

144 Marian Bogdan Bodea, Petre Anghelescu, Bogdan-Mihai Gavriloaia and Dragos-Nicolae

Vizireanu

ALTERNATIVES FOR RUNNING LINUX APPLICATIONS IN WINDOWS 145

Valeriu Manuel Ionescu, Manan Patel and Drashti Hindocha

BUILDING AND DESIGNING A DUAL AXIS SOLAR TRACKER FOR EDUCATIONAL

PURPOSES 146

Florin-Ciprian Argatu, Florentin-Daniel Tarcau, Violeta-Vasilica Argatu, Sorin-Dan

Grigorescu, Bogdan-Adrian Enache and Luminita-Mirela Constantinescu

REMOTE CONTROL FOR SMART HOME APPLICATIONS

147 Felix-Constantin Adochiei, Razvan-Constantin Stefan, Ioana-Raluca Adochiei, Bogdan-Adrian

Enache, Luminita-Mirela Constantinescu and Marius-Ciprian Larco

NUMERICAL METHOD FOR MODELING THE INPUT-OUTPUT CHARACTERISTIC IN A

COGENERATION POWER PLANT 148 Enescu Alexandru, Andrei Horia, Diaconu Emil and Ion Valentin

DIGITAL MEDIA DISTRIBUTION PLATFORM USING AMAZON WEB SERVICES

149 Marius Alexandru Dinca, Nicoleta Angelescu, Radu Dragomir, Dan Constantin Puchianu and

Ion Caciula

THE IDENTIFICATION OF INTELLIGENT INTERACTIONS BETWEEN EDUCATION AND

LABOUR FORCE MARKET 150

Mironela Pirnau, Radu Mircea Carp Ciocardia, Claudiu Pirnau, Liviu Daniel Ghiculescu and

Niculae Marinescu

PERFORMANCE IMPROVEMENT OF A PHOTOVOLTAIC SYSTEM USING A

PROGRAMMABLE MICROCONTROLLER 151

Daniel Marius Marcu, Florin Gabriel Popescu, Brana-Liliana Samoila, Razvan Ioan Slusariuc

and Titu Niculescu

DYNAMIC WEB FOR EFFICIENT EDUCATIONAL MANAGEMENT 152

Gheorghe Serban and Florentina Magda Enescu

WEB PLATFORM FOR E-LEARNING 153

Florentina Magda Enescu, Gheorghe Serban and Mariana Jurian

ONLINE QUIZ IMPLEMENTATION USING BLOCK CHAIN TECHNOLOGY FOR RESULT

TEMPERING PREVENTION 154 Valeriu Manuel Ionescu and Elena-Carmen Tentea

DEVELOPMENT OF A WEATHER MOBILE APPLICATION IN ANDROID STUDIO

OPERATING SYSTEM 155

Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia Novac, Mircea Petru Ursu,

Mihai Oproescu and Camelia Maria Dindelegan

OVERVIEW OF E-SERVICES PROVIDING IN SMART CITIES 156

Eugen Pop and Sorin Puscoci

DEVELOPMENT OF A WEATHER APPLICATION IN ANDROID AND IOS OPERATING

SYSTEMS 157

Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia Novac, Mihai Oproescu,

Cornelia Gordan and Gyöngyi Bujdosó

A SOLUTION TO IMPLEMENT GROVER QUANTUM COMPUTATION ALGORITHM

USING THE BINARY REPRESENTATION OF THE PHASE ON THE FPGA 158

Laurentiu-Mihai Ionescu, Alin Gheorghita Mazare, Gheorghe Serban, Ioan Lita and Daniel

Alexandru Visan

COLOR-BASED SORTING SYSTEM FOR AGRICULTURE APPLICATIONS 159

Ioan Lita, Daniel Alexandru Visan, Laurentiu Mihai Ionescu and Alin Gheorghita Mazare

DIRECT SEQUENCE SPREAD SPECTRUM COMMUNICATION MODULE FOR EFFICIENT

WIRELESS SENSOR NETWORKS 160

Daniel Alexandru Visan, Mariana Jurian, Ioan Lita, Laurentiu Mihai Ionescu and Alin

Gheorghita Mazare

THERMAL AND ELECTRICAL INVESTIGATION OF GRAPHENE-ENHANCED

CONDUCTIVE POLYLACTIC ACID BASED FILAMENTS FOR 3D-PRINTING 161 Andrei Drumea, Robert Alexandru Dobre and Cristina Ioana Marghescu

Software, data bases, and computer applications

TINY NETWORK INTRUSION DETECTION SYSTEM WITH HIGH PERFORMANCE 162

Andrei Marius Avram, Mihai Lica Pura and Stefan-Adrian Toma

WEB GUI FOR AUTOMATING THE FORMAL VERIFICATION OF SECURITY PROTOCOLS

USING CASPER&FDR4 163 Andreea Scurtu and Mihai Lica Pura

A DEEP LEARNING BASED INTRUSION DETECTION SYSTEM ON GPUS 164

Gozde Karatas, Onder Demir and Ozgur Koray Sahingoz

ENABLING THE INTEGRATION OF HEALTH-EMERGENCY ALERT WITH PRIVACY OF

PATIENTS’ LOCATION BASED SERVICES 165 Imad Ali Hasson, Nicolae Tapus and Algayar Sarmad Monadel S

MEDICAL SOCIAL MEDIA SYSTEMS – IMPLEMENTATION OF THE ANDROID

APPLICATION 166

Sarmad Monadel Sabree Algayar, Nicolae Goga, Imad Ali Hassoon and Mohammed Tali Qasim

Almalchy

INTELLIGENT SOLUTIONS - BASED FRAMEWORK FOR DIGITAL PUBLIC SERVICES. A

CASE STUDY FOR SMART TRANSPORTATION 167 Marilena Ianculescu, Lidia Bajanaru, Ion Alexandru Marinescu and Ciprian Dobre

ACCEPTANCE OF THE TECHNOLOGIES DEPLOYED FOR THE DEVELOPMENT OF

ONLINE PUBLIC SERVICES AND SYSTEMS USED BY ELDERLY 168 Adriana Alexandru, Dora Coardos and Eleonora Tudora

MODELING ECONOMIC INFLUENCE ON TECHNICAL DECISIONS IN URBAN, IOT-

BASED WATER MANAGEMENT SYSTEMS 169 Diana-Andreea Arsene, Bogdan-Ionut Pahontu and Valentin-Alexandru Vladuta

IMAGE AND VIDEO COMPRESSION ARTIFACT REDUCTION AT LOW BIT RATES USING

LOCAL COSINE TRANSFORM IN CONJUNCTION WITH SIGNIFICANCE MAP CODING 170 Hakkı Ilgin, Ahmet Akbulut and Aykut Kalaycıoğlu

BIOMETRIC SYSTEM BASED ON FACIAL RECOGNITION 171

Miruna Elena Trufasila and Petre Anghelescu

AUTOMATIC RECOGNITION OF HAND GESTURES 172

Cristian Mocanu and George Suciu

SMART CITIZEN – A PARTICIPATORY CO-CREATOR FOR ENHANCING ONLINE PUBLIC

SERVICES 173 Marilena Ianculescu, Ovidiu Bica, Alexandru Balog and Irina Cristescu

PAIN RELIEF USING VIRTUAL REALITY

174 Ioan Alexandru Bratosin, Ionel-Bujorel Păvăloiu, Andrei Vasilăţeanu, Diana Gavajiuc, George

Drăgoi and Nicolae Goga

IDENTIFICATION OF CORRESPONDENTS BETWEEN A STANDARD SERIES

COLLECTION AND AN EXPERIMENTAL SERIES COLLECTION 175 Petru Cardei, Sebastian Muraru, Raluca Sfiru and Vergil Muraru

NUMBER-PLATE RECOGNITION AND EXAMINATION OF REQUIREMENTS FOR PUBLIC

ROMANIAN ROADS USAGE 176 Loredana Chiva and George Suciu

Workshop on Renewable Hybrid Power System

MODELLING AND SIMULATION OF A SINGLE PHASE STANDALONE PV SYSTEM 177


FUZZY SLIDING MODE HYBRID CONTROL MPPT STRATEGY AND PI CONTROL AS A

CONTROLLER FOR A BATTERY INTEGRATED WITH PV SYSTEM 178 Saloua Marhraoui

THE PSO BASED GLOBAL MAXIMUM POWER POINT TRACKER 179

Onur Kırcıoğlu, Murat Ünlü and Sabri Çamur

AN IMPROVED MODEL DIRECT POWER AND TORQUE CONTROL OF PWM RECTIFIER-

INVERTER FED INDUCTION MOTOR DRIVE 180 Mustapha Jamma, Abderrahim Bennassar, Mohammed Akherraz and Mihai Oproescu

CAPACITOR BANKS PLACEMENT OPTIMIZATION IMPROVEMENT USING THE SPERM

WHALE ALGORITHM 181 Ovidiu Ivanov, Bogdan Constantin Neagu, Gheorghe Grigoras and Mihai Gavrilas

SMART ENERGY GRIDS USED IN IRRIGATION SYSTEMS USING THE BLOCKCHAIN

APPLICATIONS 182 Florentina Magda Enescu, Nicu Bizon and Cosmin Stirbu

USE OF BLOCKCHAIN TECHNOLOGY IN IRRIGATION SYSTEMS OF SMALL FARMERS'

ASSOCIATION 183 Florentina Magda Enescu, Nicu Bizon and Valeriu Manuel Ionescu

A SIMPLE METHOD OF MODELING THE PV CELL FROM A SINGLE CURRENT-

VOLTAGE CURVE 184 Marian Raducu

FEASIBILITY OF A MICRO GRID SCALE UP AT CAMPUS LEVEL - CASE STUDY

185 Dorin Let, Bogdan Ionuț Tene, Adela-Gabriela Husu, Mihail-Florin Stan, Laurentiu Marian

Stancu and Andreea Let

ECAI 2019 - International Conference – 11th Edition

Electronics, Computers and Artificial Intelligence

27 June -29 June, 2019, Pitesti, ROMÂNIA

Keynote Lectures

EVOLVING FUZZY AND NEURAL NETWORK MODELS

OF FINGER DYNAMICS FOR PROSTHETIC HAND

MYOELECTRIC-BASED CONTROL

Radu-Emil Precup

Co-authors: Teodor-Adrian Teban and Adriana Albu

Abstract— The development of myoelectric-based control systems for prosthetic

hands includes several approaches: on-off control, proportional control, direct

control, finite state machine control, pattern recognition-based control, posture

control, and regression control. All these approaches are considered in the model-

based control design framework, which requires accurate models of the human

hand. The human hand in such systems is a multi-variable nonlinear dynamical

system, with the inputs represented by the myoelectric signals (MESs) and the

outputs by finger angles at various joints.

The concept of evolving fuzzy (rule-based) controllers was coined by P. Angelov

back in 2001 and further developed in his later works. These controllers are

related to evolving Takagi-Sugeno (T-S) fuzzy models, for which the rule bases

are computed by a learning process, namely continuous online rule base learning.

Constructing virtual state-space process models from input-output data samples

can be carried out in this regard. Several techniques associated with T-S fuzzy

and neural network models can be used to learn the controllers for this virtual

process.

This paper starts with presenting structures for prosthetic hand myoelectric-

based control systems. A set of evolving T-S fuzzy and neural network models of

the human hand dynamics, i.e., the finger dynamics, is next offered. These models

will be used as reference models in myoelectric-based control systems. The inputs

of this nonlinear system are the MESs obtained from eight sensors placed on

human subject’s arm, and the outputs are the flexion percentages that correspond

to the midcarpal joint angles.

The structure, models and experimental results given in this presentation

belong to a relatively wide range of applications of incremental online

identification algorithms focused on the development of evolving T-S fuzzy

models, Tensor Product-based model transformation and neural network models

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 1




Keynote Lectures

and obtained by the Process Control group of the Politehnica University of

Timisoara, Romania. Implementation details concerning the incremental online

identification algorithms will be given.

The models were tested on a dataset that covers approximately 450 s and the

results are encouraging. The system and model responses and performance

indices indicate that past samples of the output increased the performance of the

models..

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 2




Keynote Lectures

COMPARISON OF ELECTROMAGNETIC ENERGY

HARVESTERS

Erol Kurt

Abstract— This talk compares various types of electromagnetic harvesters in

terms of their electrical and magnetic features. The harvesters have different flux

morphologies and natural frequencies and therefore that can be a superiority for

them to use in different applications from the ignition signal to the energy

harvester aims for battery-free systems. It will be pointed out that the systems

considered here have the power

optimal frequency regimes.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 3




Keynote Lectures

LYAPUNOV-FUNCTION-BASED CONTROL

OPTIONS FOR GRID-CONNECTED

INVERTERS

Ibrahim Sefa

Abstract— Control methods of grid-interactive inverters are an interesting

research topic in power electronics. Various control methods are investigated to

control the output current of the inverter and both steady-state and transient

response performances are studied. L filters are used to reduce the switching

harmonics in inverter output current in initial studies. However, the LCL filter

which is third order becomes popular recently because of its advantages such as

smaller inductive component sizes, reduced power loses, better attenuation, and

lower inverter output current ripple. in inverter output current. Nevertheless,

LCL-type filters have the risk of closed-loop instability due to two additional

complex-conjugate poles and require resonant damping. Therefore, the design of

an appropriate control strategy for an LCL filter-based grid-connected inverter

becomes more complex than L-filter-based ones. Although different active and

passive damping methods applied to solve the damping issue, these methods either

in introduce some additional power loss or increase the control complexity.

Therefore, developing a control algorithm which removes the additional active or

passive damping requirement is more effective. The Lyapunov's direct control

scheme which employs Lyapunov function was successfully applied to the control

of dc–dc converters, three-phase ac–dc converters, single-phase power factor pre-

regulators, single- and three-phase shunt active power filters, L-filter-based

single-phase grid-connected photovoltaic inverters, switched reluctance motor

drive system, and single-phase uninterrupted power supply inverters

accomplishing excellent dynamic response and assuring global stability under

large signal transients. In this study, various Lyapunov-function-based control

(LFBC) schemes proposed for a single-phase grid connected voltage source

inverter with LCL filter is introduced. Since the use of LCL filter causes

resonance, the conventional (CLFBC) scheme employing the inverter-side current

guarantees the asymptotic global stability, but it is not able to damp the

resonance. In order to damp the resonant, the Lyapunov-function based control

scheme can be extended with capacitor voltage or second current feedback. The

analytical equations of the closed-loop poles for each control scheme, the effect of

changing controller gains on the loci of closed-loop poles is also discussed. These

methods are validated with simulation and experimental studies.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 4




Keynote Lectures

HYBRID SYSTEMS FOR ELECTRICAL GENERATION

WITH ENERGY STORAGE

Slim Tnani

Abstract— Today, both urban and rural environments will manage water and

energy as an integrated system. This situation directly leads us to the smart cities'

concepts, were the city is ruled as an integrated environment where all systems

inside it should cooperate to achieve an optimal point of operation.

In the era of micro-grids and renewable energies, the local management of these

energies is a challenge. Although the environmental impact is well established, the

problems posed by the introduction of renewable energies must be addressed.

Add to this the problem of the intermittency of these energies; the storage of

energy becomes imperative. This one can be electrochemical, inertial or hydric.

In this lecture, we will present some technological solutions as well as control

methods based on innovative command laws.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 5




Keynote Lectures

UNEXPECTED APPLICATION-SPECIFIC DIGITAL

IMAGE ACQUISITION ERRORS

Constantin Vertan

Abstract— Visual sensing, under its common form of digital image, become both

a commodity and a must in today’s applications. Affordable and effective digital

image acquisition sensors and their underlying postprocessing methods enabled

the presence of an immense variety of image-based applications. Although the

core of the image processing methods and algorithms are now well established,

through the years, in particular applications unexpected image acquisition

requirements emerged, related to images that were unsuited for that particular

use, although correct. In this talk we present examples of such unexpected

application-specific digital image acquisition errors, in both consumer

applications and medical applications, showing some solutions that become more

or less state of the art.

Consumer color imaging exploded as smartphones became ubiquitous. Simple

(i.e. technically correct) color images of people and places are no longer enough,

since the consumers are looking for beauty and emotion. Image acquisition is now

conditioned by the possibility of correcting red-eyes, closed eyes, non-smiling

faces or facial imperfections, additions that most phone- and camera makers tend

to offer.

As digital image acquisition is used in more specialized domains (like diagnostic

aid in medicine), the application constraints become more significant, boosted by

the problem understanding gap between the medical and the engineering staff.

Significant examples can be noted in the acquisition of images in unconstrained

environments, in which unexpected problems related to camera visual field

obstruction and image focalization may appear .

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 6





MEASURING GLUCOSE BLOOD WITH

SPECTROSCOPY SKIN IN NEAR INFRARED

Ionescu Marius and Pașca Sever

Abstract—Absorption of Near Infrared Light (NIR) is stronger when the breech

is in the systolic period. In this way, the system can get cyclic finger signals from

the tip of the finger, signals that can reflect the absorption of infrared light

through the skin, muscle, bone and venous blood, or the absorption of infrared

light through arterial blood.

Keywords—workflow, algorithm, non-invasive, methods, blood, glucose,

measuring, monitoring, skin, absorption

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 7





ANALYSIS OF PRIMARY-SIDE SERIES

COMPENSATION OF INDUCTIVE CHARGERS

FOR BIOMEDICAL IMPLANTABLE DEVICES

Eleni Gati, Sotirios Kokosis, Nikolaos Patsourakis and Stefanos Manias

Abstract—In this work, the use of series compensation only in the primary side

of an inductive charger for biomedical implantable devices is proposed, in order

to minimize the component count of the implantable part of the system and

increase its lifetime and reliability. Comparison with series-series compensation

shows that the proposed topology is an equal substitute for the latter, in terms of

output power, when operating at the natural resonant frequency. Simulation

results validate the detailed theoretical analysis, suggesting that this is a

promising alternative for contactless chargers for medical applications.

Keywords—inductive charger, compensation, resonant circuits, implantable

devices, wireless charging

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 8





EVOLVING FUZZY AND NEURAL NETWORK

MODELS OF FINGER DYNAMICS FOR

PROSTHETIC HAND MYOELECTRIC-BASED

CONTROL

Radu-Emil Precup, Teodor-Adrian Teban and Adriana Albu

Abstract—This paper first presents a structure for prosthetic hand myoelectric-

based control systems (MBCSs). A set of evolving Takagi-Sugeno fuzzy and

neural network models of the human hand dynamics, i.e., the finger dynamics, is

next offered. These models will be used as reference models in structures of

MBCSs. The inputs of the models are the myoelectric signals obtained from eight

sensors placed on human subject’s arm, and the outputs of these models are the

flexion percentages of midcarpal joint angles. Elements of model-based fuzzy

control are included. This plenary keynote paper is supported by authors’ recent

papers on modeling in the framework of prosthetic hand myoelectric-based

control.

Keywords—plenary keynote paper, evolving fuzzy models, midcarpal joint angles,

model-based fuzzy control, myoelectric-based control, neural network models

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 9





ANALYSIS OF LOCAL BINARY PATTERN FOR

EMPHYSEMA CLASSIFICATION IN LUNG CT

IMAGE

Eva Tuba, Ivana Strumberger, Nebojsa Bacanin and Milan Tuba

Abstract—Medical digital images and methods for their processing and

automatic analysis have been used for faster and more precise diagnosis.

Computer aided diagnosis systems are widely used by specialists as help for

detecting and analyzing suspicions regions in medical digital images. Various

types of medical digital images and numerous diseases that can be detected on

them make this wide research field. One of the diseases that can be detected in

lung CT images is chronic obstructive pulmonary disease or emphysema. In this

paper we analyzed the capabilities of texture descriptors, local binary pattern, for

detecting and classification of emphysema. Three different types of local binary

pattern are used. Instead of using a whole local binary pattern operator output,

statistical measurements are used. Support vector machine optimized by elephant

herding optimization algorithm was used for classification. Based on the obtained

results, it can be concluded that six statistical information of uniform local binary

pattern achieved the best classification accuracy.

Keywords—emphysema detection, texture features, local binary pattern, support

vector machine, swarm intelligence, elephant herding optimization

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 10





ESTABLISH: A SMART HEALTH PLATFORM

FOR ENHANCING THE QUALITY OF LIFE

George Suciu, Adrian Pasat, Mihaela Balanescu, Ioana Suciu,

Alexandru Banaru and Iacob Crucianu

Abstract—Modern society is struggling to improve health services and

biomedical systems, trying to efficiency them, which is a rather difficult problem.

To improve health care services, the ESTABLISH project, which uses an IoT

(Internet of Things) based information system, has been introduced. This system

contains environmental and portable sensors networks, computer applications

and the human factor. In physical architecture is described the decision support

system that uses complex hardware and software components. In Experiments

and Results are presented some aspects such as Data collecting, Programming,

Data presentation and analyze.

Keywords—ESTABLISH, IoT, PostgreSQL, smart health, quality of life

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 11





A BIOMETRIC SECURITY MODEL WITH CO-

OCCURRENCE MATRICES FOR PALMPRINT

FEATURES

Sorin Soviany and Sorin Puscoci

Abstract—This paper presents a biometric authentication model using the

palmprint, in which the data processing is done using textural statistical features

and co-occurrence matrices. Several features sets are extracted and then

combined using a functional fusion rule, avoiding the commonly used

concatenation feature-level fusion. The target application has several security

levels in order to accurately identify the most authorized person. The designed

system operates in identification mode because the goal is to guess the true identity

of a person using the biometric credential without the user-name.

Keywords—matrix, statistical features, functional feature-level fusion

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Communications

ONLINE POWERTOSSIM SIMULATOR FOR

WIRELESS SENSOR NETWORKS

Anas Al-Roubaiey and Hamdi Al-Jamimi

Abstract—Wireless Sensor Networks (WSNs) are nowadays the base of many

Internet of Things (IoT) applications. One critical issue in developing WSNs

related applications and protocols is how to measure the Energy consumption,

which is very important for estimating the network lifetime. TOSSIM simulator

is one of the most popular simulators for developing and testing WSN protocols

and applications. However, it does not support energy measurements, which was

tackled by an extension tool called POWERTOSSIM. This tool works separately

from TOSSIM where it uses the simulation's output file at the end of the

simulation to generate energy measurements. Therefore, TOSSIM and

POWERTOSSIM do not support developing energy-aware protocols and

applications for WSN, because this type of development needs online energy

measurements, while the simulation is running. In this paper, we tackle this

drawback by developing an Online Energy Model and integrate it with TOSSIM

simulator. The proposed model is verified by comparing its results with the results

generated by POWERTOSSIMZ.

Keywords—WSN, Wireless Sensor Networks, IoT, Simulator, Energy-Aware,

TOSSIM, TinyOS, Emulator

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 13




Communications

HYBRID VLC COMMUNICATION SYSTEM

FOR SMALL TO MEDIUM SIZE ENTERPRISES

Andrei Scheianu and George Suciu

Abstract—The present paper focuses on the support of the key factors in the

components development. This is approached with the design and implementation

of a VLC/IR-RF hybrid system (Visible Light Communication / Infrared - Radio-

Frequency) based on an innovative and multifunctional thermal sensor

measurement module with increased sensitivity, low cost and low energy

consumption. This system will have the capability of multi-functional detection

for energy consumption monitoring and environmental control in homes,

buildings and offices by using an ultra-low-resolution sensor (80x80) called micro-

bolometer, which possess the ability to detect movements and ambient

temperature. Additionally, the hybrid VLC system will provide the capability of

integration of secondary sensors for detecting chemical and physical information

from personal buildings and offices. The final goal of the Hybrid VLC/IR-RF

project is to provide a hybrid bi-directional optical communication system

capable of delivering high performance in terms of maximum communication

distance, transfer speed and resistance to sunlight disturbance. The research

activities were started by developing a laboratory testbed oriented in this case

only on analyzing the characteristics of a VLC communication channel under the

influence of the already existing LED lighting sources within the research

laboratory.

Keywords—VLC, Infrared, Radio-Frequency, Micro-Bolometer

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 14




Communications

MASSIVE MIMO TECHNOLOGY FOR 5G

ADAPTIVE NETWORKS

Cristina-Gabriela Gheorghe, Radu Dragomir and Dan Alexandru

Stoichescu

Abstract—This paper is presenting the narrowband flat fading MIMO system

model used in WiFi, WiMAX,HSPA+ and LTE broadband wireless

communications systems as well as in digital TV broadcasting. MIMO channel

capacity is introduced. Massive MIMO technology is reviewed and discussed in

respect with 5G.

Keywords—wireless, MIMO, 5G, channel, efficiency, beamforming

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 15




Communications

THREAT CLASSIFICATION IN CURRENT

COMMUNICATION INFRASTRUCTURES

Ioan Constantin, Cristian Patachia, Carmen Patrascu, Andrei Avadanei

and Lucian Nitescu

Abstract—Telecommunications networks are essential for the day-to-day

running of all nations businesses and public services, but concerns have been

raised in recent years over their security. Private businesses, government agencies

and other bodies are dependent on telephone and internet services provided by

telecommunications (telecoms) networks to carry out daily operations. Telecoms

networks also provide services integral to the health and social life of the

population. In this respect, telecoms have been recognized as one of the main

critical national infrastructure sectors – since they are pivotal infrastructures to

the functioning of a state or country.

Telecommunications networks face a range of physical and cyber threats that

may be malicious, non-deliberate or naturally occurring. While there is no

mandated security and resilience standard for telecommunications, current

resilience mainly includes investing in duplicates of infrastructure (i.e. disaster

centers, double networks) and installing back-up power supplies

Keywords—Threats, Resilience, Telecommunication, Security, Cyber Security

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 16




Communications

FEMTOCELL OUTAGE DETECTION IN

MULTI-TIERED NETWORKS USING LSTM

Hasan Tahsin Oğuz, Aykut Kalaycıoğlu and Ahmet Akbulut

Abstract—Self Organizing Networks (SONs) are considered as one of the key

features for automation of network management in new generation of mobile

communications. The upcoming fifth generation (5G) mobile networks are likely

to offer new advancements for SON solutions. In SON concept, self-healing is a

prominent task which comes along with cell outage detection and cell outage

compensation. 5G networks are supposed to have ultra-dense deployments which

makes cell outage detection critical and harder for network maintenance.

Therefore, by imitating the ultra-dense multi-tiered scenarios regarding 5G

networks, this study investigates femtocell outage detection by means of the

metrics generated in user equipments with the help of Long-Short Term Memory

(LSTM). Based on the parameters such as signal to interference noise ratio and

channel quality indicator, time series data of the user equipments in the femtocell

site are trained and tested with LSTM network. On the average, in more than

77% of the cases the outage states of the femtocells are correctly predicted.

Keywords—Cell Outage Detection, Self Organizing Networks, LSTM, Ultra-dense

networks, 5G, Femtocells

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 17




Communications

CENTRALISED MULTI-HOP ROUTING FOR

DEVICE-TO-DEVICE COMMUNICATION:

SIMULATION AND RESULTS

Mustafa Khaleel Hamadani and Husam Al-Alwash

Abstract—Device-to-Device (D2D) communication allow the users in proximity

to communicate directly, without relay the data through the Base Station (BS).

However, in case the users not in proximity to each other the data have been

relaying hop by hop to reach user destination. in the multi-hop network, a number

of the intermediate nodes used to deliver the data from source to destination.

However, routing decision in a multi-hop network is a critical issue. in this work,

the routing decision is taken by a centralised node for a given cell. this paper

review a number of centralised multi-hop routing scheme for D2D

communication. several experiments are conducted to evaluate the multi-hop

routing scheme (reactive and proactive) under different condition and cases. the

simulation results show that the number of nodes has an effect on the number of

control message exchanged in the network. Moreover, choosing the routing mode

on the BS has an effect on the resource consumption on the Base Station.

Keywords—Device-to-Device, multi-hop, omnetpp, routing, control-plane, data-

plane, v2v

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 18




Communications

A METHOD FOR IMPROVING THE

ACCURACY OF DIRECTION OF ARRIVAL

MEASUREMENT BASED ON SPARSE VECTOR

ESTIMATION

Ionela-Cristina Voicu, Silviu Ciochină and Andrei Anghel

Abstract—This paper presents a method to determine the direction of arrival

(DOA) of electromagnetic waves to a linear array of antennas. It is based on

Discrete Fourier Transform and uses a sparse vector estimation technique to

improve the accuracy. Unlike the other existent methods, this approach allows

DOA estimation in a “single shot” data acquisition.

Keywords—Direction of arrival, spectral analysis, Orthogonal Matching Pursuit

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 19




Communications

AN ANALYSIS OF CRYPTOGRAPHIC

ALGORITHM STRENGTH BASED ON S-BOX

PROPERTIES

Roxana Dragomir, Sergiu Maluțan and Marilena Lazăr

Abstract—It is well known that, the block algorithms supply security through

its components (S-boxes, boolean functions, polynomials). Depending on the

characteristics and properties of their components, the block algorithms provide

a certain level of security. If the algorithm components are weak, then the

algorithm may be weak. This paper intends to approach a part of this issue by

analyzing the way in which the S-boxes’ properties influence the strength of the

algorithms.

Keywords—s-box, diffusion, function

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 20




Communications

ENERGY EFFICIENT TRUST-BASED

SECURITY MECHANISM FOR WIRELESS

SENSORS AND UNMANNED AERIAL

VEHICLES

Valentin-Alexandru Vladuta, Ion Bica and Victor-Valeriu Patriciu

Abstract—Nowadays, security is one of the most debated topics due to the

diversity and increased number of attacks. Researchers and industry try to come

with solutions to be one step in front of attackers but they do not always succeed.

Sensors are the preferred devices for attackers because of their limited

capabilities. Traditional security mechanisms do not work on these and therefore,

dedicated solutions need to be created. For this reason, this paper proposes a

solution for mitigating internal attacks that affect wireless sensors. With the aid

of a trust-based security mechanism, compromised sensors can be detected and

excluded before they can make more damage in the environment. The novelty of

the proposition comes from the fact that is developed for environments that uses

unmanned aerial vehicles (UAV) to collect data. Current literature did not tackle

with trust management in UAV-sensor communication and for this reason this

paper can represent the first brick on a subject of great interest. The proposition

uses both direct and indirect trust values for determining the final trust value.

Results demonstrate that the proposition is energy efficient and can limit the

damage produced by an attack.

Keywords—energy, security, trust, unmanned aerial vehicle, wireless sensors

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 21




Communications

PERFORMANCE ANALYSIS OF

TRANSMITTER IDENTIFICATION BASED ON

I/Q IMBALANCE ESTIMATION

Özlem Alpergün, Selçuk Taşcıoğlu and Memduh Köse

Abstract—Performance of a transmitter identification method based on I/Q

imbalance estimation is analyzed for different modulation types in this work. This

analysis is considered on the basis of the constellation structure of proper and

improper modulation signals. The effect of impropriety of complex signals on the

features obtained from I/Q imbalance is analyzed. Simulation results show that

transmitters can be identified with a high accuracy for proper communication

signals even at low SNR, whereas the identification performance degrades for

improper communications signals, especially at low SNR.

Keywords—IQ imbalance, proper and improper communications signals,

transmitter identification

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 22




Communications

BLIND DETECTION OF IMPULSE RADIO UWB

TIME- HOPPING PULSES USING THE PHASE

SPACE TRANSFORMATION

Florin Diaconescu

Abstract—In this paper, we focus on blind Time of Arrival (ToA) detection and

prediction based on time series analysis of the measured samples of an impulse

radio UWB time-hopping signal. The ToA detection is based on pattern cluster

recognition in time-delay embedding space. This approach has been used for data

mining in time series and propose a trade-off between accuracy and computing

complexity. Also, the main goal of this study is to identify an estimation algorithm

having as little information as possible regarding the received signal.

Keywords—Pulse train analysis, phase space reconstruction, time-delay

embedding, genetic algorithm

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 23




Communications

ZIGBEE LOCALIZATION SYSTEM FOR

PUBLIC TRANSPORT VEHICLES

Valentin Iordache, Razvan Andrei Gheorghiu, Valentin Alexandru Stan

and Madalina Tarla

Abstract—The importance of public transport in modern cities is undisputable:

considering the land usage per traveler is about 20 times more efficient than

private cars. But an unreliable transport cannot be attractive and will not be used

at its fullest. It is important to have a good knowledge about the time a vehicle

arrives in a bus stop, and when you will get to your destination. GPS systems may

provide location, but with a rough approximation, especially in cities with tall

buildings, or some vehicles may not possess it. Therefore, a complementary system

must be installed to improve the location accuracy. Based on its main features,

ZigBee was considered to be a solution. With the possibility of measuring RSSI, it

was considered that location in two-dimensional space (like the road network) can

be obtained. The analysis performed, both in laboratory (controlled) environment

and in real life conditions, tested the possibility to use this technology for more

accurate detection of public transport vehicles along the line.

Keywords—ZigBee, localization, RSSI, V2I, public, transport, urban, traffic

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 24




Communications

ASSESSMENT OF ZIGBEE

COMMUNICATIONS EFFICIENCY FOR

TRUCK PLATOONING APPLICATIONS

Razvan Andrei Gheorghiu, Valentin Iordache and Marius Minea

Abstract—Truck platooning represents an innovative solution to increase fuel

efficiency of the freight road transport. This method assumes short gaps between

trucks and truck platooning is recommended for obtaining better fuel

consumption. However, this may require a specific and/or dedicated

infrastructure, since the total length of the convoy may be considerable, with a

possible negative impact on the general traffic behaviour: other vehicles would

need significantly increased space (and time) to overtake the truck platoon. To

solve this situation and allow other vehicles to gradually overtake the platoon a

solution is proposed for dynamic platoon formation, based on vehicle-to-vehicle

communications. The ZigBee communication technology is proposed to ensure

the identification of vehicles that are obstructed by the platoon and a series of

laboratory measurements and field tests have been undertaken to assess validity.

Keywords—Communication efficiency, Platooning, V2V, ZigBee

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 25




Communications

USAGE OF BLUETOOTH SCANNERS TO

DETECT URBAN TRAFFIC

Razvan Andrei Gheorghiu, Valentin Alexandru Stan, Valentin Iordache,

Dorin Buretea and Ilona Madalina Costea

Abstract—Traffic data gathering represents a key element in managing urban

flows. Knowledge about vehicles’ movements represent the basis for traffic

signaling times calculation. In this regard, collection of traffic information (as

detailed as possible for different categories) is done in all adaptive traffic

management systems, but usually performed with static detectors (sometimes

expensive ones, like video cameras with image processing software). This solution

presents disadvantages like installing costs, lane closure (for some detectors), or

maintenance costs. As the infotainment system inside vehicles is starting to be a

standard for new vehicles, with capabilities of smartphone connection via

Bluetooth, it appears that the detection of this wireless communication may

provide information about the vehicle itself. In this article the authors have tested

the possibility to detect Bluetooth communications inside vehicles using standard

Bluetooth modules.

Keywords—Bluetooth, traffic detection, vehicle communications, urban traffic,

adaptive traffic management

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 26





DESIGN OF A STRING-ENCODER AND IMU

BASED 6D POSE MEASUREMENT SYSTEM

Ekrem Yavuz, Yavuz Şenol, Merih Özçelik and Hüseyin Aydın

Abstract—Industrial robots have been a part of industrial production for a long

time and they are expanding their sphere of influence with developing

technologies. The use of robots requires the teaching of tasks to robots. For this

teaching procedure, it is necessary to record the teaching tool’s movements in high

precision and accuracy. In this paper, it is aimed to measure the position and

orientation, in other words the pose of the teaching tool in six dimensions using

an inertial measurement unit and four string-encoders attached to the teaching

tool. Then, the measured pose information can be transferred to a robot

manipulator for tracking the recorded trajectory of the teaching tool. In that way,

operator’s movement can be copied and then used by robots to reproduce best

product which has been produced by the operator. The 6D pose measurement

system was designed and experimentally tested, and the obtained results show

that the system satisfies accuracy and precision expectations for target

applications.

Keywords—pose measuring, tool tracking system, movement record, sensor

system, inertial measurement unit (IMU), string-encoder

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 27





FPGA IMPLEMENTATION OF

MULTICHANNEL FIR FILTERS

Ibrahim Sefa and Cihan Aydin

Abstract—Latest generation FPGAs determine the future usage of FIR filters.

Their DSP blocks are able to implement fixed-point data types for efficient

computations. The systolic multiply-accumulate architecture is utilized for

various order and parallel multiple channel to efficiently handle resource and

timing considerations. Implementing various order filter taps, resource and

latency of the particular architecture of Xilinx Artix-7 (XC7A100T-1CSG324C)

series with the clock frequency of 100 MHz and 12 bit input and 12 bit output is

observed. The proposed design also shows that this design is suitable for

multichannel parallel implementation such as power electronics applications in

Smart Grids.

Keywords—FPGA, FIR filter, parallel, multichannel, adc, dac, smart, grids

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 28





RELIABLE FPGA-BASED CAMERA SENSOR

FOR NCS

Hadeer Ahmed, Gehad Alkady, Hassan Halawa, Ramez Daoud,

Hassanien Amer, Ihab Adly, Tarek Refaat and Manar Shaker

Abstract—Networked Control Systems (NCSs) form an interesting architecture

for industrial applications. They are composed of smart sensors, actuators and

controllers. Also, FPGAs have recently been progressively used in industry. One

of the main advantages of FPGAs is the feature of Dynamic Partial

Reconfiguration (DPR) which is used to repair some failures without interrupting

system operation. This paper combined both NCS and FPGAs in a new

architecture that has several advantages. First, it includes an image storing

capability which is very important in certain applications. Second, the

architecture has several fault-tolerant features in order to prolong system

lifetime. Third, even in the case of failure, raw video is never sent over the

network. A case study is presented to quantify the increase in reliability of the

presented system. Markov models were developed and the SHARPE package was

used to compare the reliability of the proposed system to that of a comparable

system in the literature; the results indicate that the proposed system is more

reliable.

Keywords—FPGAs, NCS, Fault Tolerance, Reliabilty, Markov Model

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 29





MODELING AND SIMULATION OF

QUADROTOR UAV USING PID CONTROLLER

Mehmet Karahan and Cosku Kasnakoglu

Abstract—Recent developments in sensor technology, actuators and energy

storage devices provides opportunities for development of micro flying robots.

This paper provides information about modeling and control of a Quadrotor.

Proportional Integral Derivative (PID) controller is designed for altitude and

attitude control of Quadrotor. Various simulations were performed and it could

be interpreted that the PID controller is capable of tracking the desired reference

values. Finally, the last section is devoted for discussing the results of each

simulation.

Keywords—quadrotor, UAV control, quadcopter, dynamic modeling, PID

controller, mathematical model, attitude control, altitude control

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 30





MODELLING AND CONTROL OF PAPER

DRYING PLANT

Cristian Patrascioiu and Sinziana Radulescu

Abstract—The paper presents the research begin modelling and control of the

paper drying. The researches have been generated by the investigations of the

industrial paper drying plant. The paper is structured in four parts. In first part

they are analysed the references of the drying process, modelling process and

control process. The second part presents a detailed description of the drying

process and industrial paper drying plant. In this part there are analysed the

major operating problems of the plant. The third part represents a author’s

contribution of paper drying process modelling. The last part is destined to design

of paper quality control system.

Keywords—drying paper, modelling, humidity sensor, control

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 31





NETWORKED CONTROL SYSTEM

ARCHITECTURE FOR AUTONOMOUS

UNDERWATER VEHICLES WITH

REDUNDANT SENSORS

Kareem Alansary, Ramez Daoud, Hassanein Amer and Hany Elsayed

Abstract—Autonomous Underwater Vehicles (AUVs) represent a very secure

method to investigate depths that were inaccessible and/or hazardous for manned

and remotely operated underwater vehicles. This paper proposes a Networked

Control System architecture for an AUV and conducts an in-depth analysis of its

network in multiple scenarios. Furthermore, a technique for retrieving failed

AUVs is discussed and proven from a network perspective. Finally, sensor

reliability is enhanced using fault tolerance.

Keywords—AUV, NCS, Ethernet, fault-tolerance, reliability, Triple Modular

Redundancy (TMR)

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 32





AN APPROACH FOR ESTIMATING THE

TOTAL HEAT TRANSFER RATES IN

EMBEDDED SYSTEMS

Tudor - George Alexandru and Cristina Pupaza

Abstract—Thermal design represents an essential stage in the cyber - physical

systems development workflow. Recent advances in the field of Industry 4.0 bring

into discussion emerging thermal issues due to extended networking and

computational requirements, combined with the ongoing efforts of embedded

systems miniaturization. Due to the tight constraints applied to the process,

achieving an optimal cooling solution represents a challenging perspective. From

this point of view, approaches based on conservative assumptions can no longer

be acceptable. While multiphysics simulation software can cope with the multiple

viewports of the thermal design process, the complexity of such approaches can

be overwhelming. The present work addresses such issues by combining discrete

event simulation with computer aided engineering software, supported by

experimental methods. The approach allows engineers to capture the total heat

transfer rate of active heat sources by having just a basic understanding of the

synergic nature of cyber - physical systems.

Keywords—CPS, DES, FEM, Arduino

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 33





A DEEP CNN FOR IMAGE ANALYTICS IN

AUTOMATED MANUFACTURING PROCESS

CONTROL

Manuella Kadar and Daniela Onita

Abstract—Computer vision is widely used in control of manufacturing

processes. However, due to the relatively high costs, automated visual inspection

is applied only for the final product and not after each production phase. Faulty

products are identified at the end of the production pipeline, little information is

provided with regard the causes and the production phase that produced the

defect products. This paper presents a deep CNN for the enhancement of the

computer vision system by providing additional information on the type of the

product and consequently on the production phase that generated that product,

and fault, respectively. The CNN has been integrated into the pipeline for the

automated process control. This information is important for further decision

makings in production flow management. The paper presents full description of

the deep CNN model design with discussions based on image analytics carried out

on 12k database of images of products from the porcelain industry.

Keywords—image analytics, CNN, automated classification, deep learning, defect

control

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 34





A CASE STUDY OF MULTI-ROBOT SYSTEMS

COORDINATION USING PSO SIMULATED IN

WEBOTS

Stan Alexandru-Calin and Oprea Mihaela

Abstract—The paper presents a case study of multi-robot systems coordination

as a simulation using the PSO algorithm. The simulations were performed in

Webots. The case study is focus on finding the best tuning parameters for

coordination method applied on a multi-robot system form by 10 e-puck robots.

The experimental results are obtained by simulating the system evolution in

Webots. The results are analyzed and the findings are presented in the paper.

Keywords—multi-robot system(MRS), coordination, simulation, PSO, Webots

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 35





MEASURING AND MAINTAINING THE

WATER LEVEL IN A TANK FOR EFFICIENT

USE IN IRRIGATION

Ionut Craiu, Florian Ion, Nicolae Fidel, Ramona Chirescu and Mihail-

Florin Stan

Abstract—This paper presents a device for measuring and maintaining the

constant water level in a tank. The device uses a capacity sensor to measure the

water level. The sensor has a DC voltage output proportional to the water level in

the tank. This voltage can be used in other automation too. The water level, in

percentages, is displayed on a vu meter with 8 LEDs. The circuit for maintaining

the constant level consists in a comparator with hysteresis. The level of the water

is adjustable, using a reference voltage from a potentiometer (marked in

percentages). The level of the water is compared with the prescribed level and the

difference between them commands the start/stop of the water pump which

supplies the tank through a relay. The device is powered by 220V and is isolated

from the environment.

Keywords—capacitive level sensor, water level monitoring, maintaining constant

water level

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 36





PROTECTION METHODS AND ACTIONS TO

INCREASE THE SAFETY OF OPERATION IN

POWER SYSTEMS ASSIMILATED TO

CRITICAL INFRASTRUCTURES

Ioan Marinescu, Horia Andrei and Ionut Iordache

Abstract—In present times, humankind is aware that global warming is a

reality, resources are finite while population is growing and more energy

demanding. Environmental protection, sustainable development and energy

efficiency are increasingly well-known concepts, applied by managers, regulators

and end users alike. Increasingly often and severe weather phenomena, terrorism,

cyber-criminals and hybrid warfare are impacting the power systems, affecting

the quality of life, the economy or even the energy security of states. The authors

unambiguously recognize the progress made in implementing new technology

systems (IT, telecom, SCADA) in power systems and intends to draws attention

to the vulnerabilities that emerge with the digitization (much improved response

speed, instantaneous location of any error/interruption, automatic protection

systems, flexibility, etc.) in order to not allow for a relatively easy cyber-attack

that could partially or totally bring the power grid down. The subject debated in

this paper represents risk assessment of power systems as critical infrastructures

and a fire simulation at an electrical transformer is presented as a case study.

Keywords—risk, vulnerability, security, resilience, critical infrastructure, power

grid

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 37





DESIGN CONSIDERATIONS ON FLAT AND

LOW RIPPLE REAL-TO-REAL TWO-SECTION

IMPEDANCE TRANSFORMER

Stefan Simion

Abstract—Design formulas for the real-to-real impedance transformer

consisting of two transmission line sections are developed by analyzing the real

and imaginary parts of the input impedance. The proposed design formulas may

be used to obtain flat real-to-real impedance transformation, as well as wideband

impedance transformers with low ripple of the real part of the input impedance.

Keywords—Design Considerations on Flat and Low Ripple Real-to-Real Two-

Section Impedance Transformer

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 38





COMPARATIVE NUMERICAL ANALYSIS OF

THE STORED MAGNETIC ENERGY IN

CYLINDRICAL AND TOROIDAL

SUPERCONDUCTING MAGNETIC COILS

Dumitru Cazacu, Radu Jubleanu, Nicu Bizon and Cristian Monea

Abstract—In this paper a comparative analysis of the stored magnetic energy

in cylindrical and toroidal superconducting magnetic coils is performed. For a

fair comparison, similar dimensions are used for both coils (diameter and cross

section), in analytical and numerical modeling. The numerical modeling has been

performed using the finite element COMSOL Multiphysics® software. The

energy stored in a toroidal coil is compared with an equivalent cylindrical coil and

is shown to be higher with 65% and 57% using the analytical and numerical

modeling, respectively. Also, the results have highlighted an error of 21% and

3.7% for the analytical modeling compared to the numerical modeling in case of

cylindrical and toroidal magnetic coils, respectively.

Keywords—magnetic, energy, storage, coil, modeling, simulation, finite element

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 39





THE NUMERICAL MODELING OF THE

INDUCTIVE HEATING PROCESS AT

DIFFERENT FREQUENCIES, USING THE

FLUX2D SOFTWARE

Mihaela Cornelia Novac, Marius Codrean, Ovidiu Constantin Novac,

Mihaela Codrean, Mihai Oproescu and Gyöngyi Bujdosó

Abstract—This work presents the numerical modeling of the induction heating

process, for the case of surface heating, with the view of tempering a steel bar,

using the Flux2D software.

Keywords—numerical modeling, Flux2D, induction heating, process, Finite

Element Method (FEM)

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 40





ASPECTS REGARDING THE NUMERICAL

SIMULATION OF THE INDUCTIVE HEATING

PROCESS, USING THE FLUX2D AND FEMM

SOFTWARE

Mircea Gordan, Dorina Mioara Purcaru, Marius Codrean, Mihaela

Cornelia Novac, Ovidiu Constantin Novac and Mihaela Codrean

Abstract—The aim of this paper is to present some aspects of the numerical

modeling performed in order to study the process of induction heating applied to

a workpiece, using Flux2D and FEMM software.

Keywords—numerical simulation, induction heating, Flux 2D, FEMM, CAD

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 41





THE USE OF NUCLEAR QUADRUPOLE

RESONANCE SPECTROSCOPY FOR

DETECTION OF PROHIBITED SUBSTANCES:

TECHNIQUES AND EQUIPMENT

Cristian Monea and Nicu Bizon

Abstract—A promising bulk detection technique for detection of prohibited

substances is nuclear quadrupole resonance. Its advantages over other detection

techniques have determined the research of excitation methods and development

of laboratory and commercial systems. This paper presents a brief overview of

the use of nuclear quadrupole resonance for detecting prohibited substances, by

explaining the physical principle, detailing the detection methods and presenting

some laboratory and commercial equipment.

Keywords—NQR, spectroscopy, equipment, methods, excitation, detection

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 42





HADOOP ZEDBOARD CLUSTER WITH GZIP

COMPRESSION FPGA ACCELERATION

Ovidiu Plugariu, Lucian Petrica, Radu Pirea and Radu Hobincu

Abstract—This paper presents the implementation of a heterogeneous Hadoop

cluster based on the Zynq ZedBoard development platform with GZIP FPGA

offloading for high-speed and energy efficient computing. We have developed the

first open source FPGA GZIP compressor, designed for educational and research

purposes, that can reach 1 Gbps compression speed using a 125 MHz clock. The

core uses only 10% of the Zynq-7020 SoC FPGA resources and is 5x faster than

the ARM CPU which runs at 667 MHz. We implemented an eight-node Hadoop

distributed cluster and performed the Wordcount and Terasort benchmarks

using software and hardware GZIP compression during the Map stage. Results

show an almost 2x more energy-efficient cluster when compression is done using

our GZIP FPGA core than using the software compression. The performance of

the Hadoop cluster is limited by the 512 MB of RAM and the low read-write speed

of the SD cards which act as hard drives for each node.

Keywords—GZIP, FPGA, Zynq, Hadoop, Distributed Computing

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 43





SIMULATION OF POWER FACTOR

CORRECTED AC-DC BOOST CONVERTER


Abstract—A double loop control method, one for voltage control and the other

for current control, for a power factor corrected ac-dc boost converter is studied

in this paper. A classical PI controller is used for the load voltage regulation due

to its slow dynamics with respect to fast changing current. A much faster

hysteresis band current controller is used for the current control which has ease

of physical implementation. The power factor corrected boost converter is

simulated under different load conditions. The obtained results are presented. A

good power factor is achieved.

Keywords—ac-dc convertor, boost convertor, power factor correction, unity power

factor

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 44





QUALITATIVE ANALYSIS OF THE TIME-

FREQUENCY IMAGES OF VIBRATIONS IN

FAULTY BEARINGS

Dorel Aiordachioaie and Sorin Pavel

Abstract—The paper considers time-frequency transforms of vibrating signal

in bearings with faults. The objective is the classification of faults based on time-

frequency image processing. Direct classification of such images does not provide

satisfactory results. The processing chain, from data acquisition to image

processing, is complex and needs a qualitative analysis, highlighting also the

importance of the right pre-processing. Two pre-processing steps are considered,

at the level of time and time-frequency planes. It reveals a source separation and

stationarity analysis, for the first pre-processing chain, and, for the second one,

the image scaling, and registration. Content analysis of time-frequency images

shows a variance of the content across the observation frame/window of the same

fault. It is concluding that images with high complexity, evaluated here with Renyi

entropy, must be excluded from the registration process of the images. Finally, an

alternative approach, for classification of the time-frequency images, feature

selection and extraction must be considered. Computer-based experiments

sustain the observation and the comments during such an analysis.

Keywords—signal, vibration, image, time-frequency transform, image

registration, detection, diagnosis

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 45





EXPERIMENTAL POWER SUPPLY

ASSESSMENT FOR USUAL IT APPLICATIONS

Adrian Tulbure, Calin Petrascu and Valentin Voiculescu

Abstract—Many researchers are investigating the architectural, hardware,

software and system level topologies of the computers, in order to reduce the

energy consumption [1], [2]. An analysis of the power consumption behavior of

main boards by running dedicated applications will provide relevant information

on how to design efficient IT-devices [3]. This contribution provides a high

sampling monitoring of power supply distribution between the PC motherboard

with 2Duo Core CPUs, 2660 MHz (Pmax.meas.CPU=45W) and the graphic board

of type GeForce 7300SE (Pmax.meas.GPU=11W).

The experiments are carried out on the same hardware structure (HP dc7800p

/ Windows 7P) by performing the same functions (text editing, file

zipping/unzipping, audio file running and video file running) but under two

different applications. In this work the authors describe both the system and the

measurement procedure used for each operation steps of the PC. The obtained

experimental results provide comparisons between the analyzed software

applications and lead to the final conclusions.

Keywords—computer, energy monitoring, computing performance, experimental

setup, IT applications

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 46





DISMANTLING THE CONFUSION BETWEEN

THE EQUIVALENT CO2 AND CO2

CONCENTRATION LEVELS

Gaudentiu Varzaru, Adrian Zarnescu, Razvan Ungurelu and Mihai

Secere

Abstract—The paper presents the results of the simultaneous determinations

carried out on the same gaseous media, on the one hand with a sensor measuring

CO2 concentration, and on the other with a digital gas sensor which, based on

intelligent algorithms, processes the measurement data and offers them in

equivalent CO2 levels. The purpose of the paper is to demonstrate through

experimentation the erroneous idea to interchange the terms due to confusion.

Experiments were performed using as reference a dedicated instrument for

measuring carbon dioxide based on infrared absorbtion principle, Testo 535,

from Testo. The digital gas sensor was the ultra-low power digital gas sensor for

monitoring indoor air quality, CCS811, from AMS.

Keywords—carbon dioxide, CO2 equivalent, digital gas sensor, radiating forcing,

volatile organic compounds

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 47




E-session

INTELLIGENT ALARM SYSTEM FOR

HOSPITALS USING SMARTPHONE

TECHNOLOGY

Bashar Sami and Marwa Ismail

Abstract—During the last decade, attention was paid to detect the accident and

call the ambulance as soon as possible, the situation was neglected after the arrival

of the patient to the specified service point. This negligence led to an increase in

the mortality rate, especially where the highest percentage of deaths occur during

the first hour after the accident. This highest Mortality can be avoided by

providing proper health care after the arrival of the patient to the hospital, the

proposed system reduces the rescue time after the arrival of a patient to the

hospital, it requires each hospital to be endowed with a reception model

responsible for detecting and reporting accident situations to the emergency

service. In this paper, a combination of Android phone application, database, and

visual studio 2012 was used to develop the model.

Keywords—E-health:, Hospitals emergency:, smartphone:, wireless

communication:, PhpMyAdmin:, alarm system.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 48




E-session

A FRAMEWORK FOR FRAUD DETECTION IN

GOVERNMENT SUPPORTED NATIONAL

HEALTHCARE PROGRAMS

Irum Matloob and Shoab Khan

Abstract—Fraud, waste and abuse have created prominent cost overruns in

health care sector for the last few decades. There is a critical need of fraud

detection system to control and monitor health insurance claims specially in

developing countries. In Many developing countries , governments has initiated

various programs in which states take the responsibility to bear cost of medical

services consumed by under privileged class . The paper proposed a framework

for detecting fraudulent insurance claims by creating time series, traces of every

transaction to identify invalid procedures and claims. The proposed framework

is evaluated for different types of anomalies like age based anomaly, gender based,

service providing pattern based and service availing pattern-based anomalies, on

local hospital transactional data .The detection and monitoring of fraud is

necessary to increase the quality and efficiency of healthcare .

Keywords—time series, fraud detection, anomaly, procedure etc

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 49




E-session

SHRAVYA - A FRAMEWORK FOR

ENUNCIATION OF SANSKRIT WORDS AND

PHRASES

Eravatee Raje, Apoorva Maheshwari, Mihir Karkare and Shubham

Joshi

Abstract—Through this paper, we are proposing a framework for the

enunciation of Sanskrit shlokas and phrases. Sanskrit shlokas have been known

to have a cathartic effect on the mind and soul. But due to the richness of the

language and the lack of a large number of teachers, few are able to tap its

benefits. We propose a new method of sandhi splitting based on the shloka

characteristics and the utilization of the seq2seq model with attention for

generating shlokas.

Keywords—sanskrit, sandhi splitting, seq2seq, Tacotron TTS

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 50




E-session

A NOVEL SENTIMENT POLARITY AND

PREDICTION ENHANCED MACHINE

LEARNING METHOD TO IMPROVE

CUSTOMER RELATIONSHIP

Amit Kumar and Neetesh Gupta

Abstract—The micro-blogging and social network sites are considered as one of

the best source of information for the reason that people discuss and freely share

their sentiments about a certain subject freely. Posts are generally composed of

poorly structured, incomplete, and noisy sentences, irregular expressions,

nondictionary terms, and ill-formed words. The problem is some customers given

rating contrast with their comments. The other reviewers must read many

comments and comprehend the comments that are different from the rating.

Machine learning is about forecasting the future based on the past information.

Opinion Mining is the computational detailed investigation of people’s attitudes,

opinions, and emotions concerning of issues, events, topics or individuals. SVM is

a supervised machine learning procedure which can be applied for classification.

The proposed method provides automatically preprocessing of data and extract

words from a sentence using machine learning. The proposed algorithm used

improved Support Vector Machine method for better opinion mining and

accurate prediction. The proposed method resolved semantic analysis and opinion

mining problems to solve different sentiment polarity. The experimental outcome

demonstrate that system is well suitable for opinion polarity and prediction.

Keywords—Sentiment analysis, Opinion mining, Machine learning, Social

Media, Sentiment Polarity

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 51




E-session

INTELLIGENT MONITORING OF VITAL

PARAMETERS IN WIRELESS APPLICATIONS:

ANDROID SOLUTION FOR PULSE AND BODY

TEMPERATURE

Radu Rădescu and Rareș Niculescu

Abstract—In this paper we have set up a system to monitor certain vital

parameters such as pulse and body temperature. The application thus developed

displays the recorded values and measured sensor data is transmitted through

wireless technologies to a mobile computing unit. The application uses a variety

of IT systems, both hardware and software. In the first part of the paper is

presented the current study of wireless communications. The standard used in the

paper is 802.11 (via Wi-Fi). A study on the use of databases using MySQL is also

presented. The Raspberry Pi 3 Model B, as a local server, is used to store the data

(registered parameters of the sensors). The last part of the paper describes how

to send data to an application developed for Android. An intelligent system has

been implemented at the application level to allow detection of certain

irregularities. These observations are made by analyzing recorded parameters.

All information is displayed in a graphical interface. As this application has as

main purpose the realization of a complex system that combines various

methodologies and solutions, a comparative study of the different current

technologies has been carried out in order to highlight the performances and the

possibilities for improvement.

Keywords—vital signs, wireless communications, sensors network, intelligent

monitoring, Internet of Things, embedded systems, medical application, database,

Android platform, Arduino

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 52




E-session

AUTOMATIC ANALYSIS OF POTENTIAL

HAZARD EVENTS USING UNMANNED

AERIAL VEHICLES

Radu Rădescu and Mihaela Dragu

Abstract—This paper is motivated by the possibility of developing a wide

variety of applications and domains in which Unmanned Aerial Vehicles (UAVs)

can be used globally for various purposes. UAVs are currently used by public

administrations and security forces such as police, fire brigades, civil protection,

research institutions, construction, and agriculture entities. The purpose of this

paper is to facilitate the handling of UAVs to retrieve various data from the

environment. The drone (UAV) visits some points to collect data (image and/or

video input) from sensors like GPS, camera, gyroscope, and accelerometer. GPS

sensor coordinates are used to compare the data taken with subsequent results

through processing with specialized software. The drone is used as an access gate

with built-in sensors. Certain hazard events (fires, floods, avalanches, landslides)

are not limited to narrow geographical areas, but can impact the environment by

triggering negative chain events. 3D modeling offers a wide range of possibilities

to prevent potential hazard events, or, if such an event has occurred, makes it

possible to monitor the affected area and assess the damage by comparing the

area in the pre-event configuration with the after-event one. After image

processing and data acquisition, a report is generated that includes the map and

the 3D model of the analyzed object. A hazard is an agent that has the potential

to cause damage to a particular target. Terms such as risk or danger can be used

in similar contexts. TensorFlow is an open source software library in high-

performance computing. Flexible architecture allows easy deployment of

computing on a variety of platforms (CPU, GPU, TPU), from desktop to server or

mobile devices. We used the learning transfer: at first we used a model that was

already prepared for another problem, and then we re-qualified it on a similar

problem. Deep learning from scratch can take several days, but learning transfer

can be done shortly. We applied Python along with TensorFlow to train an image

classifier and classify images with it. We formed a consistent set of training

pictures, using three labels: fire, flood (detectable hazards) and nature (non-

hazard images). We then re-qualified an efficient, small-sized neural network by

(re)training the image set in order to get the best results in the hazards prediction

selection process with a progressive higher accuracy as (re) training evolves at

optimal rating. With Python and OpenCV technologies, we used four decision

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 53




E-session

algorithms to generate prediction of hazard: Support Vector Machine, Naive

Bayes, Logistic Regression, and Decision Tree Classifier. Each generated report

includes precision, recall, f1-score, and support indices, depending on the class

and intervals used. We also used the confusion matrix as an alternative method to

evaluate the classification accuracy. Analyzing the 4 algorithms we noticed that

they behave differently. Training using TensorFlow generated better results than

the other methods. For the main classes tested hazard is recognized up to 99%.

Keywords—UAV (Unmanned Aerial Vehicles), hazard control, classifiers,

decision, prediction

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 54




E-session

PATCH SELECTION DENOISER: AN

EFFECTIVE APPROACH DEFENDING

AGAINST ONE-PIXEL ATTACKS

Dong Chen, Ruqiao Xu and Bo Han

Abstract—A one-pixel attack applies maliciously crafted and imperceptible

perturbations on just one pixel or a few pixels in an image and can mislead a target

deep learning classification model. Defending against this type of attack is a

relatively unexplored development in adversarial defence. In this paper, we

propose a Patch Selection Denoiser (PSD) approach that removes the few

potential attacking pixels in local patches without changing many pixels in a whole

image. Without clean training data, it can firstly add random impulse noises to a

few images to produce huge amounts of noisy images as inputs and targets in a

deep residual network. Next, we can obtain a denoising model based on the

Noise2Noise framework. Finally, we design a patch selection algorithm to scan a

denoised image in a patch window and compare it with the corresponding part on

the test image. Only the patch whose number of pixels with significant absolute

difference exceeds a threshold will be detected as the local part containing

potential attacking pixels. Thus, this patch will be replaced by the part in the

denoised image. Evaluating our approach on a public image dataset CIFAR-10

demonstrates that it can successfully defend against one-, three-, five-pixel and

JSMA attacks 98.6%, 98.0%, 97.8% and 98.9% of the time, respectively.

Meanwhile, it brings almost no side effects on clean images not subject to one-

pixel attacks. The state-of-the-art high defence accuracy proves the effectiveness

of our approach.

Keywords—computer vision, neural network, one-pixel attack, adversarial

example, defence, Noise2Noise

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 55




E-session

AGENT APPLICATIONS IN E-LEARNING

SYSTEMS AND CURRENT DEVELOPMENT

AND CHALLENGES OF ADAPTIVE E-

LEARNING SYSTEMS

Hiba A. Abu-Alsaad

Abstract—This research paper aims at closely reviewing what are the various

applications in e-learning systems. In order to achieve this, it must first define e-

learning systems, look at the various components, approaches, and examples of e-

learning systems. This paper is divided into two parts; section II and section III.

In the first part, the paper tackles the various agent applications in e-learning

systems. While In the second section, the research paper looks at the current

development, or evolution, of adaptive e-learning systems and the challenges this

system faces. In the second section, a review of different forms of adaptive e-

learning systems have been made and comparisons made between them.

Keywords—Adaptive learning, e-learning, Conversational systems, Pedagogical

companions, intelligent tutoring systems

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 56




E-session

MINING DATA FOR HUMAN RESOURCES

Andreea Nedelcu, Bogdan Nedelcu, Alexandru Ioan Sgarciu and

Valentin Sgarciu

Abstract—The article shows the complexity of the human resource field,

offering an insight on the issues that many decision makers are facing, in a world

where any software solution designed to offer value, is no longer viable without

big data capabilities. This paper’s main objective is to prove the importance of

mining human resource data by proving its accuracy. Furthermore, such a way

of mining big data can be a starting point for more intelligent systems that could

offer decision makers valuable real-time information. The study shows an

objective view on how accurate the public available web search data is and how it

can be mined for achieving valuable information for HR

Keywords—data mining, human resources, search engines, Google, Google

Trends

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 57




E-session

ACCELERATING BALANCE SHEET

ADJUSTMENT PROCESS IN COMMERCIAL

LOAN APPLICATIONS WITH MACHINE

LEARNING METHODS

İbrahim Tozlu, Şule Gündüz Öğüdücü, Atılberk Çelebi, Sacide Kalaycı

and Seçil Arslan

Abstract—Financial analysts perform balance sheet adjustment that includes

reductions, additions or movements of balances in accounts before applicants'

credibility scores are calculated in the assessment of commercial loan

applications. The analysts usually go through financial documents manually and

it causes waste of time and labor for financial institutions. This paper presented a

solution model that detects balance sheet items to be adjusted in order to reduce

costs and accelerate the balance sheet adjustment process by helping financial

analysts. Machine learning algorithms are the key elements for the solution

model. Besides, a new feature set that can detect balance sheet items to be adjusted

is proposed to be used for machine learning models. The proposed solution model

and feature set were tested with experiments. The results show that Stacked

Generalization model, Random Forest as meta-learner and LGBM, XGBoost and

CatBoost as base learners, is the top performer model with the new feature set.

The dataset used in experiments is obtained from one of the largest banks of

Turkey.

Keywords—balance sheet adjustment, multi-label classification, commercial loan

applications, expert systems, machine learning

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 58




E-session

BUILDING END-TO-END TASK-ORIENTED

DIALOGUE SYSTEMS VIA CNNS AND

ATTENTION MECHANISMS

Meina Song, Zhongfu Chen, Peiqing Niu and Haihong E

Abstract—We put forward a general solution towards building task-oriented

dialogue systems via convolutional neural networks (CNNs) and Attention

Mechanisms. The dominant task-oriented dialogue models follow pipeline design

and usually rely on complex recurrent neural networks(RNNs). In that case, its

structure is complicated and the amount of parameters exceeds on million. In this

paper, we propose a novel end-to-end task-oriented dialogue system with a clear

structure, just based on CNNs and attention mechanisms, totally dispensing with

recurrent neural networks (RNNs). Our model is based entirely on sequence-to-

sequence (seq2seq) architecture and realizes the true meaning of end-to-end.

Experimental results indicate that our model outperforms the state-of-the-art

approaches on CamRest676 and KVRET datasets in two evaluation indexes,

namely, task completion and quality of language generation. Meanwhile, the

training speed of our model is increased by 3-10 times and the amount of

parameters is just 1/3.

Keywords—Dialogue System, End-to-End, CNN, Attention Mechanism

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 59




E-session

USABILITY EVALUATION OF IPHONE BUILT-

IN APPLICATIONS

Saja Al-Dabet and Shaidah Jusoh

Abstract—The key factor for any successful smartphone is the efficient design

of its applications. Usability is the main aim in any product including smartphone

applications. If the applications are highly usable, this will lead to satisfying the

majority of users, and consequently will gain their loyalty; an important aspect in

any businesses. Nowadays, smartphones had become the most used devices, as

they come with a number of useful applications. Among smartphone family

members, iPhone is one of the most popular. iPhone has a huge number of loyal

users. Each iPhone comes with a set of built-in applications, such as Calendar,

Contacts, iBooks, Maps, Notes, Messages, Voice Reader and so on. The aim of this

study is to evaluate the usability of a set of iPhone built-in applications. In this

study, we have investigated five applications namely Maps, Notes, Messages,

Voice Recorder, and iBooks. Experiments have been conducted on human

subjects by completing several tasks. Time for completing the task is assessed.

Observation and questionnaire survey data collection methods were used.

Associated design problems such as visibility, feedback, reliability are discovered.

The findings suggest that interfaces design of some functionalities in the named

applications require improvements.

Keywords—Usability, iPhone, built-in applications

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 60




E-session

SHIELD: AN INTELLIGENT AND

AFFORDABLE SOLUTION FOR HOME

SECURITY

Aimen Shahid, Mahroo Ali, Mariam Eijaz, Dr.Sidra Minhas and

Nosheen Sabahat

Abstract—Reliable home security is vital for progression of our societies.

Traditional methods to protect house premises against intruders include security

guards and CCTV cameras which is labor intensive, expensive and unreliable. In

this paper, we propose a wireless, intelligent, affordable and portable IoT based

home security system. The input unit consisting of multiple sensors is placed at

the entry points of the house. The SONAR, motion and sound sensor capture the

situation at entry points. The sensor data is collected and wirelessly transmitted

by NodeMCU to the Raspberry Pi server via an online database. The server uses

logistic regression classification algorithm to detect human presence at the gate.

Once intruder is detected, alerts are generated to the user and camera mounted

on the input unit is turned on to take pictures. Facial recognition unit is also

incorporated to detect known versus unknown faces. The information of

intrusion including image and timestamp are send to the Shield’s mobile

application.

Keywords—IoT, Classification, Logistic Regression, NodeMCU, Raspberry Pi,

Sonar Sensor, PIR motion Sensor

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 61




E-session

PROPAGATION MODELS APPROACH FOR

HUMAN SPECIFIC ABSORPTION RATE

STUDY

Loubna El Amrani, Tomader Mazri and Nabil Hmina

Abstract—We are exposed to several sources of radiation that are harmful. The

absorbed dose is calculated by different methods. We apply the one that based on

the electric field, the conductivity of human tissues and its density. Ibn Tofail

University is surrounded by several base stations; the objective of our paper is to

estimate the SAR at our university by applying four models of propagation to

calculate the received electrical field.

Keywords—SAR, electrical field, free space, two rays model, Hata Okumura

model, Hata-Okumura-Teodorescu model

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 62




E-session

KERATOCONUS DETECTION ALGORITHM

USING CONVOLUTIONAL NEURAL

NETWORKS: CHALLENGES

Alexandru Lavric, Valentin Popa, Cristina David and Cristian Costel

Paval

Abstract—Over the last few years, we are witnessing a development of image

processing algorithms, which, alongside neuronal networks and Artificial

Intelligence (A.I.) allowed their application in various medical fields. There is a

great potential in having a safer, faster diagnosis, which oftentimes means saving

more lives. The development of new mechanisms tailored to diagnosing

keratoconus which make use of the latest machine vision technologies of a

machine vision type as well as neuronal networks is of utmost necessity. The main

contribution of this scientific paper lies in its analysis and study dealing with the

importance of using neural networks within the field of ophthalmology, as well as

in the representation of the neuronal algorithm when it comes to the detection of

keratoconus. The detection algorithm needs to help the ophthalmologist by

facilitating the correct diagnosis of early keratoconus, thus helping with the

effective long-term management of keratoconus.

Keywords—Keratoconus, neural networks, ophthalmology medical algorithm

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 63




E-session

NONLINEARITY DEGREE FOR CPP, 4-PP, AND

5-PP INTERLEAVERS FOR TURBO CODES

Lucian Trifina, Daniela Tarniceriu and Ana-Mirela Rotopanescu

Abstract—Permutation polynomial (PP) interleavers for turbo codes can be

efficiently designed if properly simple metrics are used. One of these metrics is

the nonlinearity degree. For quadratic PP interleavers the nonlinearity degree can

be computed with a simple formula depending on the interleaver length and on

the coefficient of the second degree term. In this paper we propose three

algorithms to efficiently compute the nonlinearity degree of the PP interleavers of

degrees 3, 4, and 5. Lower bounds on the nonlinearity degree of the PP

interleavers of the three degrees are achieved. The nonlinearity degree computing

times with the proposed algorithms are much smaller compared to those using the

direct method. The proposed algorithms are usefull in founding good higher

degree PP interleavers.

Keywords—nonlinearity degree, permutation polynomials, interleavers, turbo

codes

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 64




E-session

PROFESSIONAL TRAINING OF STAFF FROM

ORGANIZATIONS THROUGH THE GROW

METHOD

Delia Duminica

Abstract—The aim of this study is to reveal the consequences, both positive and

negative, of applying the GROW method for professional training of staff from

Generali Company of Insurance. The human resource is one of the most

important resources for organizations, regardless of the type of activity, which

provides the organizations with the source of performance, profitability and

market positioning. This the reason why companies must invest all kind of

resources (time, money, specialists) into staff training. From all professional

training of staff methods, we have chosen the GROW method, a well-known

process for goal setting and problem solving. The conclusions of this study show

that the GROW method is efficient if properly applied. However, for the efficiency

of the method, the manager's working method, the way of application, the need to

adapt to the person with whom he works are very well understood. Of course, the

manager's experience influences the effectiveness of the method.

Keywords—organization, training, coach, performance, employee

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 65




E-session

HUMAN AND ARTIFICIAL INTELLIGENCE:

THE PARTNERSHIP THAT IMPARTS HOPE

Aurel Mihail Titu and Alexandru Stanciu

Abstract—In an era of digital transformation and disruption through artificial

intelligence and machine learning, humanity still faces lack of safety, common

threats being generated by human error and misconduct on daily basis. This

paper outlines the impact of artificial intelligence in today’s society, raises

awareness on how humans may mitigate risks and create a more sustainable and

reliable environment for the future. It exposes and proves how modern technology

breakthroughs can unlock opportunities which will alter the face of the earth and

help regain faith in humanity.

Keywords—humanity, safety, artificial intelligence, sustainability, machine

learning

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 66




E-session

MAXIMUM POWER POINT TRACKING

TECHNIQUES AND SUN TRACKING

TECHNIQUE IN SOLAR ARRAY SYSTEM

Saloua Marhraoui, Ahmed Abbou, Zineb Cabrane, Abdellah Ziouh and

Mustapha Jamma

Abstract—In our work, we used two methods to obtain the maximum and

efficient energy of photovoltaic panel (PV). The first one consisted of determining

the maximum power point tracking MPPT, along with comparing the

performances and robustness of both controllers: perturbed and observer

controller (P&O) and fuzzy logic controller (FLC), so that we could choose the

best controller. The second method considered an algorithm tracking of the sun’s

ray via horizontal axe of PV primordial to keep the angle of incidence in good

position. Since the angle of incidence is an important parameter to get a good

panel efficiency. The PV system has been analyzed and simulated on

Matlab/Simulink.

Keywords—Photovoltaic Panel, Fuzzy logic, P&O, Angle of incidence, DC/DC

boost

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 67




E-session

CONSTRUCTING KEYWORD PROPAGATION

MAP OF FACEBOOK PAGES.

Soraya Chalard and Sukree Sinthupinyo

Abstract—Social network visualization has been extensively studied in research

in diffusion of information. This paper focuses on extracting propagated

Facebook posts from keywords created by users and visualizing important

information diffusion path in social network graph. Furthermore, some

interesting propagation patterns of user behavior in online social network were

discovered. Our research contributions could be summarized as follow: 1) a novel

method was proposed to determine the keyword occurrence in online social

network, 2) this research constructed the map of keyword propagation and

visualized the propagation patterns among different groups of people and 3) a

case study of social phenomena was shown. In sum, our work eventually could be

applied to improve the performance of tracking keyword spread in social media

and would be beneficial for greater understanding about user behavior.

Keywords—social network visualization, keyword propagation, keywords map

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 68




E-session

ELECTRONIC SYSTEM FOR ASSESSING AND

ANALYSING DIGITAL COMPETENCES IN

THE CONTEXT OF KNOWLEDGE SOCIETY

Doina Banciu, Ionut Petre and Mihail Dumitrache

Abstract—The digital competencies of users, in general, and of public

administration personnel, in particular, must allow the people access to graphical

interfaces and applications, including databases. The use of digital competences

is not simply about the emergence and use of computer tools to a certain level but

also to develop new digital skills to face the challenges of data quality,

responsibility, confidence in information received, the privacy of the user and the

safety of its data.

The study tool in this paper is managed and applied on-line, and the collection

and centralization of data is done automatically, also ensuring information

security.

The basic method used in this paper is the model based on the questionnaire.

Keywords—digital competences, assessing skills, electronic system, collecting data

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 69




E-session

PROTON-EXCHANGE MEMBRANE FUEL

CELLS: THE RENEWABLE ENERGY ERA

Alexandru Lavric, Maria Simona Raboaca, Constantin Filote and Ana

Maria Nasture

Abstract—Fuel cells are electrochemical devices which have the ability of

transforming the chemical energy of a fuel into electricity. These cells are

considered a viable source when it comes to alternative energy sources. Over the

last few years, green and renewable energy has been a highly discussed, actuality

topic. The main contribution of this paper consists in the analysis and evaluation

of proton-exchange membrane fuel cells in the current context of the renewable

energy era. Moreover, the performance level of a PEM is evaluated by using an

ARBIN FCTS Fuel Cell System type of architecture. From the obtained results,

one can see that the tested architecture warrants a high level of performance.

From the gathered results one can observe that the stack reaches its maximum

performance level at an operating temperature of 65 °C. The power obtained at

65 °C temperature is of approximately 2145 W.

Keywords—Proton-Exchange Membrane Fuel Cells, Renewable Energy,

PEMFC, Arbin FCTS

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 70




E-session

MEDIA LITERACY IN A CHANGING PROCESS IN TURKEY

Olga Untila Kaplan

Abstract—This study intends to understand and explain adaptation education

to media in changing process in Turkey which is uttered with “media literacy”

concept. The historical development of media literacy, is approached three

different periods, determines the main parts of our study. It is possible to

introduce the historical transformation of the past to the present media literacy

education in Turkey with the evaluation of these concepts which emerged in

"Traditional Media Literacy", "Digital Media Literacy" and "Post-Digital Media

Literacy" periods. The changing media process in each of these time segments

and the changing media literacy equality is the only unknown to how to approach

the media. Media literacy education, researched at different times, answers this

question. With the help of descriptive and source scanning research methods used

in the study, as well as to setting forth the paradigm of Turkey's media literacy,

“changing user” which is unique to the periods mentioned above, draws the

profile of the media literate.

Keywords—Media Literacy in Turkey; Traditional Media Literacy; Digital Media

Literacy; Post-Digital Media Literacy; Changing User

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 71





HYBRID MODELLING BASED ON SUPPORT

VECTOR REGRESSION WITH GENETIC

ALGORITHMS FOR INTELLIGENT WI-FI-

BASED INDOOR LOCALIZATION SYSTEM

Hamdi Al-Jamimi and Anas Al-Roubaiey

Abstract—Due to the growth of the ubiquitous positioning-based services, the

development of indoor positioning systems has attracted the researches intensely.

WiFi is one of the technologies introduced to support the indoor positioning

services. The WiFi signal strengths directed from advice in an indoor environment

is used to predict the location of the device or the user handling the device. The

prediction of the user location can be considered as a classification problem where

the model can predict the location of the user according to pre-defined zones.

Machine learning (ML) techniques have been applied widely in the literature to

develop indoor positioning systems. However, these applications suffer from poor

generalization ability and/or high computational complexity. This paper,

proposes an indoor positioning system based on a hybrid ML model that uses

support vector machine as a classifier tool. To improve predictive capability of

the model, SVM’s parameters are optimized using genetic algorithms. The

proposed model demonstrates promising results in terms of significant correlation

(R2=0.99) and high classification accuracy rate (ACC= %98.3).

Keywords—indoor localization system, WiFi signal strength, support vector

machine, genetic algorithms

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 72





L0 REGULARIZATION BASED FINE-GRAINED

NEURAL NETWORK PRUNING METHOD

Qixin Xie, Chao Li, Boyu Diao, Zhulin An and Yongjun Xu

Abstract—Deep neural networks have achieved remarkable achievements in

many tasks. However, we are not able to deploy such successful but heavy models

on mobile devices directly due to the limited power and computing capacity. Thus,

an obvious solution to tackle this problem is to compress neural network by

pruning useless weights in neural networks. The point is how to remove these

redundancies while maintain the performance of neural networks. In this work,

we propose a novel neural network pruning method: guiding the weights of a

neural network to be sparse by introducing L0 regularization during the training

stage of neural network, which on the one hand, can effectively resist the damage

on the performance while pruning, on the other hand, the time overhead of re-

training stage can be reduced dramatically. Experiment results on MNIST and

CIFAR-10 demonstrate the effectiveness of this method to the classic method.

Keywords—L0 Regularization, Neural Network Compression, Deep Learning

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 73





DRONE, AIRCRAFT AND BIRD

IDENTIFICATION IN VIDEO IMAGES USING

OBJECT TRACKING AND RESIDUAL NEURAL

NETWORKS

Armando Fernandes, Márcia Baptista, Luis Fernandes and Paulo

Chaves

Abstract—As maritime smuggling is being combatted more effectively, the

criminal “modus operandi” consists more frequently of using small aircraft and

drones for drug transport. To address this issue, we report our efforts to develop

a system capable of accurately tracking suspicious flying objects and identifying

them on video streams. Our solution consists in coupling classical computer vision

with deep learning to perform tracking and object detection. A discrete Kalman

filter is used to predict the location of each object being tracked while the

Hungarian algorithm is used to match objects between successive frames.

Whenever a potential target is considered suspicious the input images are zoomed

and fed into a deep learning pipeline that separates images into the classes

aircraft, drones, birds or clouds. A literature survey indicates that this problem

with important applications is yet to be fully explored.

Keywords—, Object Tracking and Detection, Deep learning, Convolutional

Neural Networks, Residual Networks

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 74





OBJECT DETECTION IN AUTONOMOUS

DRIVING - FROM LARGE TO SMALL

DATASETS

David-Traian Iancu, Alexandru Sorici and Adina Magda Florea

Abstract—The purpose of the paper is to analyze the current capacity of

pedestrian and vehicle detection through four state of the art detectors -Yolo,

SSD, Faster R-CNN and RetinaNet on a big dataset (BDD100K). Also, we

analyzed if the results are transferable from one dataset to another - we used a

small dataset from our campus, we offered some quantitative results and we made

an error analysis based on the dataset characteristics (e.g. weather, light, size of

the object).

Keywords—autonomous driving, machine learning, artificial intelligence, object

detection, Yolo, Faster R-CNN, SSD, RetinaNet, BDD100K

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 75





JAPANESE CHARACTER RECOGNITION

WITH MICROSTRIP LINE NETWORKS

Marian Novac, Bogdan Marian Bodea, Petre Anghelescu, Bogdan

Mihai Gavriloaia, Octavian Fratu and Mariuca Gavriloaia

Abstract—Character recognition, a topical field seen from the large number of

practical applications, allows the generation of characters in electronic media

from printed documents or images. The Japanese language is one of the most

difficult language because of the very large number of characters or classes of

objects to be identified, and many recognition systems have been proposed. A new

way of recognizing Japanese printed characters is presented in this paper. The

proposed method is based on the modeling with microstrip lines of the character

topological structure and the analysis using microwave engineering methods. The

spectral distribution of the resonance frequencies is used as a local descriptor in

the recognition process. A deep convolutional recurrent network is used for the

classification step. The proposed method ensures good accuracy in the Japanese

character recognition process using the lowest number of descriptors among the

methods described in the literature. The character recognition method has been

tested by analyzing the first ten resonant frequencies of the five Japanese vowels,

and 99.9% character recognition has been provided for 20% dispersion of the

microstrip line segment lengths.

Keywords—character recognition, Japanese vowels, resonant frequency,

microstrip line, neural network

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 76





DREAM PRINCIPLES AND FAIR METRICS

FROM THE PORTAL-DOORS PROJECT FOR

THE SEMANTIC WEB

Adam Craig, Adarsh Ambati, Shiladitya Dutta, Pooja Kowshik, Sathvik

Nori, S. Koby Taswell, Qiyuan Wu and Carl Taswell

Abstract—Articles published in Scientific Data by Wilkinson et al. argued for

the adoption of the Findable, Accessible, Interoperable, and Reusable (FAIR)

principles of data management without citing any of the prior work published by

Taswell. However, these principles were first proposed and described by Taswell

in 2006 as the foundation for work on the PORTAL-DOORS Project (PDP) and

the Nexus-PORTAL-DOORS-Scribe (NPDS) cyberinfrastructure, and have been

published in numerous conference presentations, journal articles, and patents.

This work on PDP and NPDS has been continuously available since 2007 from a

publicly accessible web site at www.portaldoors.org, and discussed in person at

conferences with several key authors of the Wilkinson et al. papers. Paraphrasing

without citing the PDP and NPDS principles while renaming them as the FAIR

principles raises questions about both the 'FAIRness' and the fairness of the

authors of the Wilkinson et al. papers. Promoting these principles with the use of

the term 'metrics', which are not metrics by definition of the term metric as used

in most fields of science, also raises questions about their commitment to

maintaining consistency of usage for basic terminology across different fields of

science as should be expected for terms in ontology mapping with knowledge

engineering for the semantic web. Therefore, in the present report, we clarify the

origin of their FAIR principles by identifying our PDP and NPDS principles that

constitute the historical precedent for their FAIR principles. Moreover, as the

comprehensively summarizing phrase for all of our PDP and NPDS principles, we

rename them the DREAM principles with the acronym DREAM for Discoverable

Data with Reproducible Results for Equivalent Entities with Accessible Attributes

and Manageable Metadata. Finally, we define numerically valid quantitative

FAIR metrics to monitor and measure the DREAM principles from the

perspective of the most important principle, ie, the Fair Acknowledgment of

Information Records and Fair Attribution to Indexed Reports, for maintaining

fair standards of citation in scholarly research and publishing.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 77





Keywords—data stewardship, metadata management, NPDS cyberinfrastructure,

DREAM principles, FAIR metrics

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 78





ARTIFICIAL LOCUST SWARM ROUTING

ALGORITHM: DECISION MAKING IN PATH

SEARCH PROBLEM

Vladyslav Alieksieiev and Andrii Berko

Abstract—The good known problems and solutions nowadays require to

implement some new approaches due to changing circumstances. The primary

factor of these changes is a drastic growth of data volume and transition from

simple data processing models and algorithms to big data ones. According to a

limited computing resources (memory, CPU load, time boundaries etc.) there is a

need arises to follow required limits but still solve problems involving some larger

amount of data. This paper considers the problem of a path search on a graph

(also known as a problem of routing on a network) with respect to a large amount

of vertices and edges. Difficulty of the problem lies in both many thousands of

data entries describing graph topology and necessity to satisfy reasonable time

boundaries to perform the whole search on-the-fly. Such complexity requires

developing a new and more efficient approaches in decision making during path

search to avoid combinatorial explosion (burst) within known approaches to path

search. The artificial locust swarm routing algorithm with special assessment

procedures was offered as a solution that enables less time and memory

consuming approach. Case study analysis was performed with navigation data of

airways network.

Keywords—path search, decision making, assessment procedure, artificial locust

swarm, routing, metaheuristic approach

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 79





CAR PARK OCCUPANCY RATES

FORECASTING BASED ON CLUSTER

ANALYSIS AND KNN IN SMART CITIES

Maria Viorela Muntean

Abstract—In car park occupancy problem, large amounts of data are collected

from sensors and stored in databases. In order to discover useful information

from such data, data mining techniques are applied. In this paper we propose to

find alternative solutions for Birmingham car park occupancy issue. Our

approach consist in clustering first the dataset in order to obtain relevant periods

of time within a day and then forecast data within these clusters. Our experiments

show that splitting data into six clusters and predict car park occupancy with k-

Nearest Neighbor technique lead to the highest forecast rates.

Keywords—forecasting, kNN, clustering, k-means, smart city

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 80





FAST AUTOMATIC EXPOSURE ADJUSTMENT

METHOD FOR IRIS RECOGNITION SYSTEM

Vitaly Gnatyuk, Sergey Zavalishin, Xenya Petrova, Gleb Odinokikh,

Alexey Fartukov, Alexey Danilevich, Vladimir Eremeev, Juwoan Yoo,

Kwanghyun Lee, Heejun Lee and Daekyu Shin

Abstract—In this paper, we propose a novel algorithm for automatic camera

parameter adjustment, which is exploited for getting the correct image exposure

required for iris recognition. We use two-step processing, where the first step

adjusts the camera parameters on the basis of a single shot, and the second step

applies precise iterative adjustment. In order to get the correct iris exposure, we

use a weighted mask, which is constructed offline using a set of face images. In

contrast to the existing algorithms, our method does not need to be calibrated for

a particular camera sensor. We show that the proposed method significantly

decreases false rejection rate caused by incorrect image exposure and reduces

recognition time.

Keywords—iris recognition, auto exposure, computer vision

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 81





UNCONVENTIONAL PUBLIC TRANSPORT

ANONYMOUS DATA COLLECTION

EMPLOYING ARTIFICIAL INTELLIGENCE

Marius Minea, Catalin Dumitrescu and Ionuț Cosmin Chiva

Abstract—This paper presents results of a research concerning the possibility

of collecting anonymous data regarding public transport level of service,

employing wireless technologies (Bluetooth and WiFi), big data and statistical

filtering. Machine learning algorithms are used to detect, locate, create a map and

record presence of travelers in public transport vehicles and stations, along with

regular traffic data. The solution could also serve as back-up system for locating

vehicles on their path.

Keywords—Bluetooth, anonymous data collection, machine learning, filtering

algorithms, Delaunay trilateration

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 82






DEPLOYMENT AND COVERAGE IN

WIRELESS SENSOR NETWORK: A

PERSPECTIVE

Pradeep Kumar Singh, Yashwant Singh, Jahangir Ahmad Lone,

Zdzislaw Polkowski, Sudeep Tanwar and Sudhanshu Tyagi

Abstract—Wireless sensor network is emerging field in research, due to its

applications almost in every field. Mostly WSN are used to sense a specific area

or region which is used to monitor the chemical and biological changes within a

region. The main component of a wireless sensor network is a sensor node, which

collects information and transmits it to the receiving station for further

processing. Further, how to deploy these sensors in a network so that it will cover

maximum area. For efficient deployment in a network different strategies are

used for node deployment. After, deployment of nodes the question is whether

they collect all the information in that region, it depends upon the coverage or

how well a node senses a given region.

In this paper, a brief description of deployment and coverage in WSN is

presented. The various optimization algorithms used in deployment of WSN is

also described. A comparison of various deployment methods based on their

performance and area in which they are deployed is illustrated. Further, the

various coverage methods are also compared on the basis of their efficiency and

connectivity.

Keywords—Wireless Sensor Networks, Computer Networks, Network Coverage,

Node Deployment

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 83






MACHINE LEARNING-BASED SOFTWARE

EFFORT ESTIMATION : AN ANALYSIS

Pradeep Kumar Singh, Zdzislaw Polkowski, Jayneel Vora, Sudeep

Tanwar, Sudhanshu Tyagi and Yashwant Singh

Abstract—Estimating the effort behind a software project is the approximation

time and resources an engineer need to create a software application. The

estimation is one of the most important phase in the developing process to set the

cost of project and ultimately to attract the client. In the preliminary stage of a

project, the accuracy of estimation is to be extremely precise and dependable,

which may not be easy to achieve. Therefore, use of machine learning algorithms

is a possible solution for the estimation process on which the decision can be made.

In this study, we have analyzed various studies and machine learning trends

conducted in this field. Doing this effective reductions in the cost and parameter

for the project to be accomplished. Accuracy, root mean and relative absolute

errors are used to compute the effort estimation accuracy.

Keywords—Effort estimation, Software engineering, Machine learning, Attribute

selection

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 84






PERFORMANCE OF VARIOUS ALGORITHMS

TO REDUCE THE NUMBER OF

TRANSMITTED PACKETS BY SENSOR NODES

IN WIRELESS SENSOR NETWORK

Muhammed Ihsan Husni, Nayef Alduais, Ion Marghescu, Mohammed

Hussein and Jiwa Abdullah

Abstract—Energy consumption is an important issue in the Wireless sensor

network (WSN). Reducing the number of transmission packet messages for sensor

nodes is the most common solutions to save the node battery. Therefore, the main

contribution of this paper is to study the performances of different algorithms

that can reduce the number of data packets transmitted by sensor nodes within

the WSN. The selected algorithms for the reduction algorithm in the

transmissions include Move Average algorithm (MA), Autoregressive all-pole

model parameters — Burg’s algorithm. (AR-B), Autoregressive all-pole model

parameters — Yule-Walker algorithm (AR-YW) and an Efficient Data Collection

and Dissemination Algorithm (EDCD1). The performance comparison shows that

the on the basis of reduction in the data packet transmissions from the source to

the sink EDCD1 algorithm shows the maximum reduction of 92% while a

minimum reduction of 23% is shown in case of MA and the reduction of AR-B

and AR-YW are 58% and 56, respectively. Moreover, in term of overall

performance for a reduction in a number of data transmissions reduction EDCD1

algorithm shows the highest ratios. Additionally, in terms of absolute error in the

data at the sink, the EDCD1 algorithm shows the best performance with a less

average error at 2.2803 for all sensors compared to others algorithms.

Keywords—WSN, Energy consumption, Reducing the number of the transmission

packet

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 85






A NEURAL NARX APPROACH FOR

EXCHANGE RATE FORECASTING

Thitimanan Damrongsakmethee and Victor-Emil Neagoe

Abstract—This paper presents a Nonlinear Autoregressive Exogenous (NARX)

model using feed-forward neural network learning to forecast the exchange rate.

We have evaluated the model performances by considering the exchange rate of

the Thai baht per US dollar using the historical data from the Bank of Thailand

for 10 years, from 2009 to 2018. We have used the following forecasting evaluation

indices: Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE)

and correlation coefficient (R). We have considered the following financial inputs

for the neural system that predicts the current exchange rate: gross domestic

product rate (GDP), interest rate, inflation rate, balance account, trade balance

and a finite set of previous exchange rates. The best result showed that the NARX

neural network technique leads to a MAPE of 3.001% and a MSE of 0.006.

Therefore, we can conclude that the considered predictive model using the NARX

neural network technique can be used to accurately forecast the exchange rate.

Keywords—Exchange rate forecasting, Artificial Neural Networks, Nonlinear

Autoregressive Exogenous (NARX) model

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 86






THE USE OF THE CLONAL SELECTION

ALGORITHM FOR NQR SIGNAL DETECTION

OPTIMIZATION

Vasile-Gabriel Iana, Cristian Monea and Mihai Oproescu

Abstract—Nuclear quadrupole resonance represents a method that provides

good results in the detection of explosives substances, narcotics or drugs. It

ensures multiple and selective detection with very a high identification accuracy.

The phenomenon is well known, but the response signal is very weak and covered

by noise, thus requiring algorithms with very good prediction probability. The

devices based on this principle can be used in critical operational environments

where the false alarm rate must be as close as possible to zero, such as airports

and customs. This paper proposes a method for fusing the data from six

algorithms for predicting the detected substances, each optimized for a specific

scanning scenario. In order to reduce the number of false alarms, the algorithms’

results are fused and the decision is taken by applying specific weights to each

result. This study proposes a clonal selection algorithm for finding the optimal

weights, that is based on a dataset composed of 6000 acquisitions in different

conditions. Sodium nitrite is used as the test substance, because it has a

piezoelectric response which makes the detection process more difficult in

particular situations

Keywords—component, nuclear quadrupole resonance, optimization, clonal

selection, data fusion

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 87






APPLICATION OF GENETIC ALGORITHM

FOR OPTIMIZATION OF NQR SIGNAL

DETECTION

Mihai Oproescu, Vasile-Gabriel Iana and Cristian Monea

Abstract—Nuclear quadrupole resonance represents a method that provides

good results in the detection of explosives substances, narcotics or drugs. It

ensures multiple and selective detection with very a high identification accuracy.

The phenomenon is well known, but the response signal is very weak and covered

by noise, thus requiring algorithms with very good prediction probability. The

devices based on this principle can be used in critical operational environments

where the false alarm rate must be as close as possible to zero, such as airports

and customs. This paper proposes a method for fusing the data from six

algorithms for predicting the detected substances, each optimized for a specific

scanning scenario. In order to reduce the number of false alarms, the algorithms’

results are fused and the decision is taken by applying specific weights to each

result. This study proposes a genetic algorithm for finding the optimal weights,

that is based on a dataset composed of 8000 acquisitions in different conditions.

Sodium nitrite is used as the test substance, because it has a piezoelectric response

which makes the detection process more difficult in particular situations

Keywords—component, nuclear quadrupole resonance, optimization, genetic

algorithm, data fusion

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 88





THE EFFECT OF BOUNDARY CONDITIONS

AND MATERIAL PARAMETERS ON THE

TEMPERATURE OF HIGH POWER LEDS

Niculina Draghici

Abstract—Any electronic component (with the exception of Peltier modules)

will dissipate heat when in use. Depending on the amount of dissipated heat, the

component temperature may increase. It is known that between 60-80% of the

electrical power consumed by an LED during operation is converted to heat [3,4].

Generated heat becomes a major problem when the LEDs are chip-on-board or

high-power because the current density increases and thermal dissipation

becomes a problem that should be considered by the designers of lighting

assemblies. In order to obtain the best thermal performances and to reduce the

costs of obtaining a prototype, mechanical and thermoelectric models are

developed and simulated. In this paper we study the way in which the material

parameters and the boundary conditions affect the results of thermal simulations

starting from the virtual model of a real LED presented in [1] by the author.

Keywords—high power LED, thermal simulation, heat sink

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 89





DESIGN OF AN LED-BASED SOLAR

SPECTRUM SIMULATOR FOR PORPHYRIN

DYE-SENSITIZED SOLAR CELL

CHARACTERIZATION

Ana Barar, Alina Elena Marcu, Paul Schiopu and Marian Vladescu

Abstract—This paper presents the design considerations for a special solar

spectrum simulator, based on LED technology, specifically conceived for the

characterization of porphyrin-based dye-sensitized solar cells.

Keywords—solar spectrum, photovoltaics, DSSC, solar simulator, LED

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 90





TUNABLE SELECTIVE PLASMONIC ANGLE-

LARGE METAMATERIAL ABSORBER

Aurelian Costea, Paul Schiopu and Marian Vladescu

Abstract—Throughout this research we substantiate that a film, a specially built

thin one, having a certain configuration, can deal with incoming electromagnetic-

EM waves that ”hits” the film, in a very discerning manner, within the range of

ultraviolet-UV to far infrared. Configuration we built has on bottom a layer of a

conducting material under a layer of a insulator having on top a pattern of "dots"

of conducting material. Making adjustments regarding the dimensions, the

materials of dots, we accomplished absorption resonances wavelength values of

0.35, 1.3, 12, 51microns. The specular spectra of the reflectivity is angle-

conditioned evidenced by visible-toUV spectrometers. The absorption highest

values goes from 83% to98%. Applications for that kind of absorbers are

represented by thermal detectors. There is a proportionality relation between

surface structures linear dimension, the dielectric permittivity and the

wavelength resonance. The dipolar plasma resonance image dipoles in the ground

plane and the dipolar plasma resonance in the surface structures are coupled.

Thus generates a circuit resonant LCR that describes the resonances of

absorption.

Keywords—far infrared, LWIR, near-IR, plasmonics, tunable absorbers,

metamaterial absorber

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 91





NEXT LEVEL FOR FIBER OPTIC PROJECTS

DEPLOYMENTS

Cornel Barbut

Abstract—This article is a view of how the Fiber Optic installers can move to

the next level of their execution works for multiple customers in Fiber Optic

deployments. Deployments contains all types of Fiber Optic deployments, from

backbone to FTTH networks, from Metropolitan Fiber Optic Networks to Rural

FTTH.

Keywords—fiber optic deployments, efficient fiber optic network deployments,

fiber optic installer, metropolitan fiber optic networks, future fiber optic deployments

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 92





EMPLOYING SOFTWARE AGENTS AND

CONSTRUCTIVISM TO MAKE MASSIVE

OPEN ONLINE COURSES MORE STUDENT-

ORIENTED

Ufuoma Apoki and Gloria Crisan

Abstract—This paper aims at reviewing and applying constructivism, as a

learning theory, in the design and development of automated technologies for

Massive Open Online Courses in higher education. Although new in the field of

online education, these courses hold the promise of ensuring many people get

access to higher education. As it promises many advantages, its multiple

challenges also lurk around. Applying the right learning theories would provide

a platform that delivers a learning environment which is both automated (to

account for the high number of users) and personalized. The methodology uses

big data technologies and natural language processing skills to provide quality

interaction between platform and student. A model is proposed which employs

software agents and constructivism (as a learning theory) to make massive open

online courses more student-oriented.

Keywords—massive open online courses, online education, learning theories,

learning styles, personalized learning, constructivism, software agents

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 93





A COMPARATIVE ANALISIS OF STAFF

TRAINING PROGRAMMES

Claudiu Langa, Sofia-Loredana Tudor, Adriana-Nicoleta Lazăr and

Emanuel Soare

Abstract—The present paper aims at presenting a comparative study of the

adult education system in four different countries (Romania, Germany, Greece,

Norway), based on the analysis of the national educational, legislative and

curricular policy documents. The paper gives a systemic analysis of the

framework on adult training, and the implementation methods specific to each

country, focusing on highlighting their experience in adult education and

promoting good practice models.

Keywords—adult education, benchmark, style, training

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 94





MORE TECHNOLOGIZED IS NOT MORE

EDUCATED

Alexandru Mărchidan

Abstract—This paper focuses mainly on the dangers of new communication

technologies for the intellectual and cultural development of young people.

Although these technologies also have some advantages for information and

communication, however, the disadvantages are much greater. As such, we will

analyze their effects structurally (neuro-physically), psychosocially and morally,

and in the end we will try to find out what can be done to limit these negative

effects.

Keywords—digital pitfalls, social networks, digital technologies, homo

connecticus, homo communicans.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 95





NONVERBAL CUMMUNICATION IN JOB

INTERVIEWES. A CASE STUDY ON LOCAL

ORGANISATIONS

Elena Popescu and Tudorel Popescu

Abstract—In general, communication is the indispensable element for the

optimal functioning of any human community, regardless of its nature and size.

In particular, nonverbal communication is the accumulation of messages, which

are not expressed by words and which can be decoded, creating meanings

(kinesics). This signal can repeat, contradict, replace, complete or accentuate the

message sent through words. The importance of nonverbal communication was

demonstrated in 1967 by Albert Mehrabian. After a study, he concluded that only

5% of the message is transmitted verbally, while 38% are transmitted by voice

and 55% through body language. Therefore this research aims to demonstrate

the importance of nonverbal communication empirically - in job interviews. The

general description of this process is made with the help of an qualitative method

- the research interview. The interviews have been registered with ten employers

form Argeș district in 2018-2019. The conclusions of this study were: employers

do take in consideration the importance of how the future employee present

himself, but only at instinctual level, the local firms do not have human resources

trainers specialized in body language. They look for gestures and clothing stiles

and the general body expression is taken into consideration. So the main body

expressions valued at a future employee are (according to some local leaders):

dynamism and initiative (J. Messinger, p.34), but in reality it is the gestures that

makes the final decision if you correspond on not to what the organization

wants/needs.

Keywords—communication, nonverbal communication, kinesics, leader,

organisation, employees, human resources, interview, research, qualitative,

empirical study

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 96





TENDENCY OF REMOVAL OF THE MEDIA

FROM OFFICIAL COMMUNICATION OF

PUBLIC INSTITUTIONS

Florin Stoica

Abstract—A fundamental responsibility of any public institution is to make the

results of its work public, so that every citizen can evaluate his activity. Public

institutions operate with funds from the state budget and their activity is aimed

at the public good. In this context, any such organization must be transparent and

make available to citizens all public information provided by law.

One way the institutions can fulfill this obligation is by means of the media,

which are independent communication channels, which can verify, certify and

transmit to the public messages of public interest. Currently, at a local level - in

Romania - there is a fracture that tends to deepen in the communication between

the public institutions and the media. This trend can become extremely damaging

to the public communications environment, with negative effects for the correct

information of citizens.

The paper aims to radiograph the current state of communication between

local public institutions and the media, to identify the problems of this

communication relation and to propose solutions to overcome the obstacles that

have arisen.

Keywords—communication of public institutions; mass-media; public interest

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 97





THE ROLE OF EDUCATION IN THE

DEVELOPMENT OF PSYCHO-BEHAVIORAL

SANOGENESIS MODELS IN

CONTEMPORARY SOCIETY

Ioana Dumitru

Abstract—The consumerism culture, nowadays, claims an ideal of beauty and

atractiveness which are very hard to find în reality, and this becomes a pressure

on young women, as their body image is strongly correlated with their identity,

self esteem and self image.The appearence of the ideal body, promoted în different

ways, is very hard to find în reality, being impossible to reach these standards,

specially in the case of young women, who have as developmental task the discover

of their identity, a fact which makes them a lot more vulnerable at the

environmental requests.

Although the subject is very modern, there aren’t studies to establish real

differences between the persons who have plastic surgeries, and those who have

not regarding education interests.

Keywords—behavior, body, aesthetic, self-esteem, academic

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 98





IMPLEMENTATION OF THE EUROPEAN

QUALITY ASSESSMENT FRAMEWORK IN

THE ROMANIAN EDUCATION SYSTEM

Maria Pescaru and Cristina Maria Pescaru

Abstract—The concept of quality has a strong cultural load, being dependent

on the values promoted by individuals, groups and society as a whole. The quality

of education is defined, promoted, assured and evaluated on the basis of values

expressed at the social, school, school and community levels.

The national management and quality assurance system represents all the

institutional structures, rules and procedures, as well as the concrete activities of

design, implementation, evaluation and quality review at the level of the education

system, the subsystems and the school units. It includes institutional structures at

the Local Evaluation and Quality Assurance Commission (LEQAC) at local level

and other national commissions: the Romanian Agency for Quality Assurance in

Pre-university Education (RAQAPE) and the Romanian Agency for Quality

Assurance in Higher Education (RAQAHE ), but also other structures established

at the local, county or national level (according to the decision of the central and

local authorities).

Pluralismul educațional, respectarea tradiției și identității naționale, toleranța,

libertatea de opinie, demnitatea, patriotismul, independența gândirii, respectarea

celorlalți, cinstea și respectul pentru justiție și pentru drepturile celorlalți,

decența și altele sunt valorile fundamentale ale educației promovate în România

și în Europa prin sistemul național de management si asigurare a calității.

Educational pluralism, respect for national tradition and identity, tolerance,

freedom of opinion, dignity, patriotism, independence of thought, respect for

others, honesty and respect for justice and the rights of others, decency and others

are the fundamental values of education promoted in Romania and in Europe the

national quality management and quality assurance system.

Keywords—quality, management, education, external evaluation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 99





THE NATIONAL QUALITY ASSURANCE

SYSTEM IN ROMANIA

Maria Pescaru

Abstract—Like many other countries around the world, Romania faces a

number of challenges that impose a flexible workforce able to meet the labor

market demand and eager to participate in lifelong learning programs to keep

pace with modern economic and technological changes. In this regard, according

to the strategy of the Ministry of National Education, quality management in pre-

university education is a desideratum that ensures the quality of education and

refers to the following areas and criteria: the institutional capacity resulting from

the internal organization and the available infrastructure, defined by the

institutional, administrative and managerial structures, material basis and

especially through human resources; educational effectiveness consisting of

mobilizing resources in order to achieve the expected learning outcomes,

materialized in the content and flexibility of study programs, learning outcomes,

methodical or research work and the financial activity of the organization; quality

management that results in the establishment of strategies and procedures for

quality assurance, the initiation, monitoring and periodic review of study

programs, the implementation of objective and transparent procedures for

assessing the learning outcomes and the quality of the teaching staff, the

accessibility of adequate learning resources, information of public interest, the

formation of a positive image in the external environment and, last but not least,

the functioning of the structures for assuring, implementing and evaluating the

quality of education, according to the legislation in force.

Keywords—management, quality, standards, authorization, accreditation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 100





THE COMPETENCE OF LEARNING TO

LEARN– AN INDICATOR OF

EMPLOYABILITY IN THE LABOR MARKET

Sofia-Loredana Tudor

Abstract—This paper presents an analysis of the need to correlate the

professional competences offered by the university studies programs in relation

to the employability requirements of the graduates on the labor market. The study

analyzes the concepts of competence versus transversal competences versus new

competences required on the labor market; the applied part of the study focuses

on the analysis of the students' perceptions from 4 university specializations

(education sciences, psychology, sociology, communication sciences) on the

competence of learning to learn from the perspective of fulfilling its performance

descriptors during university studies . The conclusion of the study reflects the

fulfillment of cognitive indicators (the ability to carry out various projects,

initiative, entrepreneurship, digital culture), but the failure to fulfill the indicators

of the social-emotional and motivational sphere.

Keywords—professional competencies versus transversal competencies, formative

assessment of competencies, employment on the labor market, learning to learn

competence

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 101





DETERMINANTS OF LEARNING

MOTIVATION FROM THE PERSPECTIVE OF

SELF DETERMINATION THEORY

Stan Maria Magdalena and Plaiasu Adriana Gabriela

Abstract—From the perspective of Self - determination theory, student

engagement is considered self-regulated learning since it manifests behaviourally

through a permanent focus upon the main objectives, attendance, concentration,

time management, positive collaboration with teachers and peers. The present

research is an application of Self-Determination Theory (SDT) through which we

try to identify the relation between students’ motivation (students’ motivation

being conceptualized as a continuum having five aspects: amotivation, external,

introjected, identified and intrinsec), individual traits (self-efficacy) and the

characteristics of the learning environment: perception upon the learning

environment (support of autonomy, support of competence and social

relatedness).

Keywords—learning motivation, self determination theory, learning environment,

interest, learning engagement, self- efficacy.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 102





POSTER

ROMANIAN PRE-UNIVERSITY EDUCATION

FROM THE PERSPECTIVE OF SCHOOL

MANAGEMENT

Jianu Eugenia, Mihai Oproescu and Dumitru Tudosoiu

Abstract—This paper presents an image of the pre-university education seen

through the eyes of the school manager.

Management is a conscious process of managing and coordinating individual

and group actions and activities, as well as mobilizing and allocating the

organization's resources to meet its objectives in accordance with its mission,

goals and economic and social responsibilities.

Educational management is a methodology of a global - optimal - strategic

approach to education, but not a model for the management of the basic unit of

the education system applicable to the complex school organization.

Keywords—school organization, system approach, school management, education

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 103





POSTER

SCHOOL AND PROFESSIONAL

ORIENTATION TO ADOLESCENTS

Mihai Oproescu, Eugenia Jianu, Ionut Bulgaru and Delia Duminica

Abstract—In the last years, science has seen a lot of research on school and

professional orientation of adolescents as well as adults. Thus, the school and

professional orientation occupies an important place in the contemporary society

based on the free market economy, being a complex pedagogical problem and

action, accepted by the international forums, which have concerns regarding the

education of young generations, the labor force and the specialists.

Most young people are influenced by parents in choosing the profession they

want to exercise, ignoring the aspirations and skills of their children. Usually what

profession parents have the same profession should have their own children. The

problem of studying vocational guidance in adolescents is a theoretical and

practical interest, as it aims at guiding young people in choosing the right

profession in contemporary society.

Starting from the assumption that the school and professional orientation is

directly dependent on the intrinsic motivation of the student, the purpose of this

paper is to determine the conditional and causal factors in choosing the profession

in adolescents.

Keywords—school orientation, career, teenager, school motivation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 104





POSTER

MEDIA, PUBLIC OPINION AND THE

CONTEMPORARY COMMUNICATION

Georgiana Drăghici

Abstract—The media is a complex of social relations governed by journalistic

principles, norms and rules. The media exerts pressure on society in four

directions: economic, political, coercion, symbolic. As far as the economy is

concerned, the media is a powerful factor of pressure on the general framework

of action of the media. The modern era records successive evolution of the main

means of mass communication.

Keywords—media, public opinion, daily information, impact, power

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 105





POSTER

E-LEARNING IN COMPUTER-ASSISTED

TRAINING, ADVANTAGES, DISADVANTAGES

AND FUTURE TRENDS

Mihai Oproescu, Vasile-Gabriel Iana, Eugenia Jianu and Mihaela-

Roxana Anghel

Abstract—The present paper outlines e-learning from the perspective of the

advantages and disadvantages of this education system. At the same time, the

limitations of e-learning are presented. The study is carried out taking into

account several aspects, including: the need for educational software in the world,

in general, and in Romania, in particular; the types of existing educational

software: websites, encyclopedias, e-books, etc.; the software market. In the end,

there are some conclusions about e-learning.

Keywords—e-learning, information psychology, information didactics,

educational software

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 106





POSTER

THE ROLE OF EDUCATION IN THE

DEVELOPMENT OF PSYCHO-BEHAVIORAL

SANOGENESIS MODELS IN

CONTEMPORARY SOCIETY

Georgiana DUMITRU and Ana Apetroaiei

Abstract—This article presents the results of the focus group applied to 13 pre-

university teachers (class masters and school counselors) with rich experience and

serious concerns about school and professional orientation. The focus group

aimed to reveal the teachers' opinions on the identification of the factors

influencing the school and professional orientation of high school students in

Argeş. Focus group participants pointed out that the motivational factors, both

internal, personal (inclinations, skills, interests of the subject), as well as external,

social (parents' counseling, etc.) are involved in the process of school and

professional orientation, teachers, school, friends' exhortation, etc.). Family is

seen as the first important factor in the young person's orientation process as well

as in establishing the professional option and in making the final decision. Within

school, interviewees emphasize the role of each actor in the guidance process: the

class master, the specialist teacher, the doctor, the school counselor. The opinion

shared by the participants in the focus group was that the guidance process should

start from the young school age and continue throughout schooling. Of course,

the optics of the interviewed specialists have led to the approach that choosing the

profession based on internal motivational factors is more beneficial for young

people and even society, because it is better to prepare yourself in a profession

that you want, you have the skills to do it than to you're getting ready for "that's

what the parents wanted," or "I chose it because my friends chose it."

Keywords—school and professional orientation, career dynamics, motivational

factors, high school students

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 107





POSTER

IMPLEMENTATION OF THE EUROPEAN

QUALITY ASSESSMENT FRAMEWORK IN

THE ROMANIAN EDUCATION SYSTEM

Georgiana DUMITRU

Abstract—To make education is to influence behaviors, or to make these

influences in a desirable direction, it is necessary for the person who issues the

influence to have some psycho-pedagogical skills, counseling skills. The present

article focuses on the analysis of the potential relationships between the need for

psycho-pedagogical training and the indicators that measure the pedagogical

behavior of the teaching staff. The analysis of the data was done by combining

quantitative (statistical) and qualitative (content) methods in order to obtain a

more detailed and concrete picture of the topic. The research tool, the

questionnaire, aimed to investigate the activities performed by the teachers in the

usual pedagogical activity, strong activities determined by the contact, the

relationship with the pupils. Moreover, a set of indicators was developed to

identify the frequency of use in the usual work of close competencies, precursors,

to the specifics of educational counseling. Regarding the identification of the

disciplines that can support the curriculum of the educational counseling for the

teachers and especially head teachers, carried out in relation to the indicator on

the necessity of the pedagogical training in the field of educational counseling, the

results showed that the most representative for such of the curriculum are:

conflict psycho sociology, assertive communication, family pedagogy, permanent

learning management, equal opportunities in education, professional career

management. The study can be an effective information tool whose results can be

integrated into the administrative and educational approaches of several

categories of beneficiaries or decision-makers. The data provided can be at the

heart of the surprise of the relevance of future in-service training programs.

Keywords—teachers, class master, students, educational counseling

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 108





POSTER

THE COMPETENCE OF LEARNING TO

LEARN– AN INDICATOR OF

EMPLOYABILITY IN THE LABOR MARKET

Maria Claudia Ionescu and Andreea Stan

Abstract—This study aims to identify third year Psychology students’

perceptions on their competences and the importance they place on these

competences for a Psychology professional, as well as to explore students’ inputs

on things the faculty can do in order to improve future Psychology students’

professional training. 54 Psychology students took part in this survey, in their last

academic term, before final exams. More than half of them assess that they have

all the professional and transversal competences developed to a large and very

large extent. In students’ perception, the most developed is Teamwork

competence and the least developed is Designing and conducting psychological

interventions. In students’ opinion, the first most important competences for

Psychologists are: Critical thinking, Usage of the main concepts in Psychology,

Designing and conducting a psychological research, Psychological assessment of

individuals, groups and organizations, and Interpersonal relationship and

communication in professional areas. Students identified three main solutions for

the faculty in order to improve professional training of future Psychology

students.

Keywords—psychology students’ competence; students’ selfassessment;

professional competence improvement

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 109





POSTER

THE ENGINEER PROFESSOR, A NEW

GULLIVER TRAVELLING THROUGH THE

UNIVERSE OF THE METHODS

Florin TECAU and Cristina TECĂU

Abstract—How could we define the Engineer Professor? A restless traveler

through the needle of thinking, a Gulliver in need to find undiscovered territories.

He firstly arrives in Lilliput, the country of the dwarves. Directs himself toward

Brobdingnag, the giant’s country, toward Laputa, the flying island, toward

Glubbdubdrib, the country wizards and last but not least, toward e Houyhnhnms,

the noble horses’ s country. Lilliput, the country of the dwarves, symbolizes the

methods based upon the activation of the pupil’s thinking, step by step, in the

elaboration of the educative process. Thus the pupils are assimilated in the

dynamic of the teaching activities, intrinsically constrained to study and

eventually to activate all the potential cognition for reaching the school efficiency.

Along this time the teacher seems to watch the classroom universe like a scientist

who is using the microscope and he sees it through the convergent lens of

education. Brobdingnag, the giants country, symbolizes the methods based on

group activities & on promoting a global brainstorming that concentrate the flux

of collective ideas rising them in an indestructible spiral. The teacher is looking

now through a telescope, watching the augmentation of the school efficiency up to

the reaching of the pedagogic ideal. Laputa, Glubbdubdrib & Houyhnhnms offer

a kaleidoscopic view, making reference to the mosque activities that integrate both

the traditional & modern teaching.

Keywords—engineer professor, school efficiency, mozaique activities, education

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 110





POSTER

JOB PERCEPTIONS AND TRAINING NEEDS

OF SOCIAL WORKERS FROM RURAL AREAS

- COMPARATIVE RESEARCH IN SEVEN

EUROPEAN COUNTRIES

Maria Claudia Ionescu and Lucia Neagoe

Abstract—Social work professionals have a very complex and emotionally

demanding job: they face a large variety of clients, usually the most vulnerable

individuals and social groups, who found themselves in problematic situations or

even dramas. This kind of work requires a great adaptability, both in terms of

professional tools and personal resources. Social workers can experience stress,

negative emotions, lack of energy and motivation, dissatisfaction and even

burnout, as consequences of their work. This study aims to identify one common

profile on job perceptions (including occupational stressors and burnout

symptoms) and needs in professional development of social workers from rural

regions of seven European countries (Bulgaria, Greece, Italy, Portugal, Romania,

Spain, Slovenia). The sample includes 348 social workers who filled in a

questionnaire via email. The main results stress the existence of organizational

stressors and the need for continuous professional development.

Keywords—job stress; professional training needs; social workers; social work

education

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 111





POSTER

THE FULLDOME DOCUMENTARY FILM IN

THE CONTEMPORARY MEDIA AND

EDUCATIONAL CONTEXT -GENERAL

CONSIDERATIONS

Cîrstea Petre Remus

Abstract—The media immersiveness could be a true asset in modern

educational context understanding, first, the effective use of digital planetariums

and the ongoing development of New Media in the Contemporary Cinema. One

can name it: the Fulldome Documentary Film, first.

Keywords—fulldome, media, documentary, edutaiment, Media.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 112




IWSSS

MALWARE’S DOUBLE ANTI ANALYSIS (DAA)

ANALYSIS METHODOLOGY

Yanis Beqqali, Hamza Es Sadik, Francine Herrmann and Fabrice

Sabatier

Abstract—Most modern malware use anti-analyze techniques to escape existing

detection and analysis solutions. We designed a new methodology DAA to analyze

malwares even when they use this predisposition. To this end, we have analyzed

severaMost modern malware use anti-analyze techniques to escape existing

detection and analysis solutions. We designed a new methodology DAA to analyze

malwares even when they use this predisposition. To this end, we have analyzed

several existing approaches aimed to evade malware in order to use the most

effective ones. A new open source software tool has been designed and developed.

We tested our software with more than 300000 LHS’s malwares.This

implementation allowed us to confirm the importance of studying the behaviour

of malwares in an environment able to counter the anti-analysis techniques. l

existing approaches aimed to evade malware in order to use the most effective

ones. A new open source software tool has been designed and developed. We tested

our software with more than 300000 LHS’s malwares.This implementation

allowed us to confirm the importance of studying the behaviour of malwares in

an environment able to counter the anti-analysis techniques.

Keywords—DAA Methodology, Malware Analysis, Anti-Analysis Technique,

Escape Technique, Anti-Analytics, Anti-Bypass

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 113




IWSSS

A METHOD OF DECREASING

CONNECTABILITY OF DERIVED DATA,

USING LOCAL DIFFERENTIAL PRIVACY

Hidenobu Oguri

Abstract—A lot of personal data in the company are processed into various

formats for each purpose of use, such as aggregate tables, and are generally stored

as derived data. After the enforcement of the GDPR, when the user exercises

"right to the erasure of personal data", the companies are obliged to delete any

link, or copy of the data taking all reasonable measures. On the other hand, since

the data necessary for companies to comply with legal obligations should be

retained, risk assessment of data to be deleted and data to be left is necessary.

However, many derived data can be combined and the original data may be

restored, and it is difficult to determine whether the data should be deleted. In

this paper, we propose a method to measure the connectability of each attribute

between derived data and manage the relationship by a graph structure. Then, by

searching as a route the connectivity between the derived data, we measure the

risk of connecting and restoring personal data. Using this structure, we propose a

method to reduce connectability by using local differential privacy to disturb only

the attribute with the highest connectability among the searched routes. And we

also propose a measurement method of privacy protection index necessary to

process to the level that cannot distinguish the users when two people were

extracted from a database and applied differential privacy, and the effect was

verified by experiments.

Keywords—Local differential privacy, Derived data, Right to erasure

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 114




IWSSS

METHODOLOGY OF DARK WEB

MONITORING

Nicolas Ferry, Thomas Hackenheimer, Francine Herrmann and

Alexandre Tourette

Abstract—The darkweb is spreading more and more and allows many malicious

or criminal activities through the Tor network. To our knowledge, there is no

public tool for monitoring the darkweb. We designed a new strategy to monitor

the dark web. Moreover, this automatic methodology spares visualization by

human being of deviant contents. We have implemented this new monitoring

methodology, potentially useful for those who regularly scan this dark side of the

Internet. We tested our software a, we proceeded some experimental tests and we

analyzed the results comparing them to previous analogous experimental studies.

Keywords—dark web, security, web monitoring, hidden service, Tor network,

onion routing, semantic analysis

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 115




IWSSS

SMART GRID PROTECTION USING MAC

VALUE ANALYSIS

Balduino Estison Mugilila Camachi, Dan Popescu and Loretta Ichim

Abstract—The purpose of this paper is to illustrate the vulnerabilities found

through the studies, mainly through the methods of preventing an attack of a

Smart Grid. Having a contingency plan of attacks is not something complex and

should be part of everyday business, it’s wrong to think that answering a security

incident only happens in cases of mega attacks, such as WannaCry. Any Security

threat must be taken seriously, no matter how small the threat is, because the

threat might just be a test of vulnerability. The main goal of this article is to

prevent cyber-attacks of Smart Grid using MAC Value Analysis. On this article

the goal is to protect the network from these attacks.

Keywords—cyber security, smart grid, substation, network, detection, poisoning,

MAC address, IP address

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 116




IWSSS

EVALUATION OF ATTACKER SKILL LEVEL

FOR MULTI-STAGE ATTACKS

Terézia Mézešová, Pavol Sokol and Tomáš Bajtoš

Abstract—

Information security risks caused by difficult to exploit vulnerabilities are

often treated with countermeasures as last due to their low likelihood of

occurrence and should be given a high priority in security monitoring. In this

paper, we propose an evaluation of detected attacks in terms of their difficulty –

by assigning them an attacker’s skill level. We draw similarities between

vulnerability’s exploitability score and aim to evaluate intrusion detection system

alerts within the same framework. We also present the methodology on attacks

from a dataset intended for evaluation of intrusion detection systems.

Keywords—attack evaluation, attacker skill level, attacker modelling

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 117




IWSSS

SPECTRUM OPTIONS AND WIRELESS

COMMUNICATION SOLUTIONS FOR

DRONES

Laurențiu Gabriel Militaru, Dan Popescu and Loretta Ichim

Abstract—As the need for safe and secure communication solution for drone

applications increases, this paper is analyzing today’s status starting with the

existing standards and solutions to hypothetical solutions, standard drafts and

trends for enabling developers to implement reliable solutions. When evaluating

a large quantity of articles, papers and casestudies approaching this subject, the

authors’ focus was on the state of the art, technology comparison, existing

standards, development trends and on highlighted safety and security issues.

Keywords—UAV, wireless communication systems, frequency bands, standards,

spectrum, drone safety and security issues

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 118




IWSSS

ON THE DEVELOPMENT OF A ROBUST

CYBER SECURITY SYSTEM FOR INTERNET

OF THINGS DEVICES

Octavian Ionescu, Viorel Dumitru, Emil Pricop, Octavian Buiu, Cornel

Cobianu, Mihai Raneti, Stefan Pircalabu and Costin Marica

Abstract—Cyber security threats have escalated dramatically in the past few

years, this being the main reason why the development of Internet of Things (IoT)

devices was hindered and the full potential of their utility was not reached. A

major step forward could be taken only by providing reliable and cheap

protection against unauthorized interference from malicious users and other

threats so that people can feel safe keeping their devices connected to the cloud.

This paper is focused on the development of a robust cyber security solution for

IoT. The device developed and presented in this paper has the capability of solving

cyber security problem by using a simple and low-cost solution, that comes with

the advantage of being less intrusive and easily adaptable to any Ethernet

connected IoT device. The developed device has two embodiments, the first one

being a simple hardware control of the communication line using a parallel

channel, and the second one extending the features of the first by using the

physical unclonable functions (PUF) generated by a controlled memristor for

securing the data sent over the communication channel.

Keywords—Cyber security, IoT security, memristor, PUFs

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 119




Poster

SINGLE SENSOR BLUETOOTH

MULTILATERATION FROM ARBITRARY

LOCATIONS

Xavier Quinn

Abstract—The genesis of Bluetooth heralded a massive influx of tiny, easily

produced, data transmitting devices, which due to their low power draw, could be

connected to a decent sized battery and transmit data for weeks on end. Now that

nearly all phones and computers have this capability built in, it has become useful

for any number of reasons to know what type of devices are within an area, and

their precise location. Systems have been developed which locate these devices,

but only as long as they are within the range of multiple stationary beacons, which,

depending on the area wishing to be monitored, may have severe limitations. This

paper outlines the development of a system that uses a single sensor to determine

the location of Bluetooth devices over any sized area.

Keywords—Bluetooth, Wireless, Location, Multilateration

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 120




Poster

THE IMPACT OF TECHNOLOGY AND

INNOVATION DEVELOPMENT ON

POPULATION DYNAMICS AND STRUCTURE

Cristina Teodora Balaceanu, Daniela Penu and Dorina Mocuta

Abstract—Globalization and technological development, innovation and

scientific research are elements for increasing living standards and quality of life

for the population. Under the conditions of sustainable economic growth, the

world's economies are developing ways to increase the health of the population

and life expectancy. Under these conditions, economies need to produce jobs or

tools to provide financial support, with effects on the sustainability of economic

resources. And yet, there are many countries that capture the negative effects of

economic development.

The study shows the effects of economic development in emerging countries in

the European Union and in the countries left behind those developed in the

European Union.

Keywords—sustainable, development, population

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 121




Poster

VIRTUAL INSTRUMENT USED FOR

PLOTTING THE ROOT LOCUS


Abstract—The paper aims to present a virtual instrument, implemented in the

LabVIEW graphical programing environment, and used for plotting the root

locus of systems. There are presented the rules and the algorithm used for plotting

the roots locus of an closedloop system. The presented application uses the

proposed virtual instrument for plotting the root locus of the system.

Keywords—system stability, root locus, virtual instrument in Labview

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 122




Poster

VIRTUAL INSTRUMENT USED FOR

STUDYING THE STABILITY OF THE

SYSTEMS


Abstract—The paper aims to present a virtual instrument, implemented in the

LabVIEW graphical programing environment, and used for studying the stability

of the systems, based on the Nyquist criterion. There are presented four specific

applications that use the proposed virtual instrument. For each application, the

indicators on the front panel show the system's open loop transfer function, the

values of the poles and their position in S plan, the Nyquist hodograph and the

result obtained with respect to the stability of the open loop system .

Keywords—system stability, the Nyquist hodograph, virtual instrument in Labview

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 123




Poster

IOT BASED SYSTEM FOR SMART

AGRICULTURE

Ioana Marcu, George Suciu, Cristina Mihaela Balaceanu and

Alexandru Banaru

Abstract—Productivity and quality of crops. Some of the first significant

improvements have been remarked when machines and new tools such as

irrigation systems, harvest machines, farmland clearing machines were

introduced in the primitive agriculture, where these activities were performed

mainly by humans and animals. Over time, agriculture has been affected by

weather disasters (such as storms or extreme temperatures) and by natural

disasters (such as pests and plant diseases). Thus, the next step in the development

of the agriculture domain was to propose the Internet of Things (IoT) solutions

for monitoring of many parameters for better precision agriculture. Such a

system would provide useful information on plant growth, crops’ diseases, and

soil properties that are a benefit for crops. This paper describes a possible solution

for a more reliable IoT-based system using Libelium for Smart Agriculture to

monitor the parameters that have a direct impact on crops. Moreover, the

monitoring system aims to manage agricultural issues related to irrigations and

analyses the effect of the measured parameters on agriculture, helping the

farmers to have healthy crops.

Keywords—Libelium, Monitoring of crops, meteorological parameters,

agriculture

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 124




Poster

INVESTIGATION OF THE DIFFERENT

MODELS PERFORMANCE FOR EVALUATING

THE DISTURBANCE IN THE IONOSPHERE

Kareem Difar, Jalal Hussein Abd Ali, Amer Abbood Al-Behadili,

Maysam Kadhim Kareem, Ali Raad Deaim and Mustafa Khaleel

Hamadani

Abstract—The ionosphere is the region in the space that is restricted in distance

above the Earth and it contains free electrons and ions that disturb the

electromagnetic waves when the waves pass through it. Several models were used

to investigate the ionosphere conditions. These models use mainly two parameters

to evaluate the perturbations in the ionosphere. These parameters are the electron

density and TEC (Total Electron Content) which they control the ability of

reflections frequencies in the ionosphere. The propagation characteristics were

investigated. This paper uses four models to estimate the ionosphere

perturbations. The goal of this paper was to choose the most efficient model that

gives the best image that evaluates the ability of reflections shortwaves in the

ionosphere. All these computations did not take the Sunspot number in

considerations.

Keywords—IRI-2007, NeQuick model, Space Weather Service model, VOACAP

model, Ionosphere

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 125




Poster

CONVERSION TOOL FOR AUDIO-VIDEO FILE

COMPATIBILITY IN MOODLE E-LEARNING

PLATFORM

Banes Vasile, Babarada Florin and Ravariu Cristian

Abstract—This paper presents the development of a user interface conversion

tool, able to get audio-video file compatibility for the e-learning platform through

which files can be imported. At this stage, there are a wide range of audio-video

formats, but only some of them can be accepted by the E-learning platform.

Therefore, the goal in this work is to create a conversion tool for audio-video file

compatibility, using the Microsoft Visual Studio.

Keywords—e-learning., conversion tool., user interface.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 126




Poster

MANAGEMENT SOFTWARE FOR A

PUBLISHING COMPANY

George Cosmin Stanica and Petre Anghelescu

Abstract—This paper presents a software solution for managing a publishing

company. The application provides features such as: managing employees and

clients, processing orders and generating invoices, administration of products and

generating warnings concerning low stock. Users may access the application by

credentials each having different rights according on them. The system is

developed for processing a large amount of data, offering solutions based on

simple analysis models. All the algorithms and results obtained are developed and

tested using the C# programming language and a database created with SQL

Server used for data storage.

Keywords—credentials, relational databse, GSM module, application interface,

connection string

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 127




Poster

SOFTWARE FOR MODELING, SIMULATION

AND PROTOTIPING RTT ROBORTS

Sîrb Vali-Chivuța

Abstract—Automatization and robotics have become an important factor in the

development of any country’s industry. Besides the impact they have on the

productivity, they are stimulating the improvement of work conditions (especially

those that are dull or dangerous), enhancing the control over the safety of the

industrial installations, helping to save energy and raw materials, to the

optimization of the infrastructure and stock costs, to achieve complex production

operations, as well as increasing the quality of products and services.

Keywords—modeling, simulation, cinematic model, MatLab Simulink

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 128




Poster

A REVIEW OF DIFFERENT ESTIMATION

METHODS OF DC OFFSET VOLTAGE FOR

PERIODIC-DISCRETE SIGNALS

Mihai-Catalin Arva, Eugen Diaconescu, Mirel Stanica and Nicu Bizon

Abstract—The precise and efficient estimation of the DC component of the

discrete periodic signals is required and used in many engineering and scientific

fields of signal processing. In this paper there are presented several methods of

estimating the DC component for discrete periodic signals. The main purpose of

this paper is to show the influence of using a method of estimating DC offset on

the precision of measurements and the present a comparison between several

estimation methods. The estimation methods include the arithmetic mean method,

the method using the Discreet Fourier Transform (DFT), the linear regression

scattering method and the least squares method using high order interpolation.

There are presented both theory elements and modeling and simulation elements

specific to each method. An evaluation of the accuracy of the methods in which

both the true error and the standard deviation are presented for each method is

also performed.

Keywords—estimation methods, DC offset, discrete-periodic signals, DFT, least

squares, evaluation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 129




Poster

CURRENT CONSUMPTION ANALISYS FOR 8-

BIT MICROCONTROLLERS


Abstract—Throughout the design cycle of embedded software for

microcontrollers one crucial aspect is always the microcontroller's performance.

There are many variables when it comes to microcontroller performance: clock

speed, memory size, current consumption etc. This paper focuses on analyzing the

microcontrollers’ current consumption under some specific scenarios while

executing specially designed software. The focus of this analysis is on 8-bit

microcontrollers. The purpose of this analysis is to help engineers design energy

efficient embedded software.

Keywords—microcontroller, performance, current, power, monitoring,

measurements

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 130




POSTER

A DEEP CNN APPROACH WITH TRANSFER

LEARNING FOR IMAGE RECOGNITION

Cristian Iorga and Victor-Emil Neagoe

Abstract—This paper presents a model of Deep Convolutional Neural Networks

(CNN) based on transfer learning for image recognition. This means to use a Deep

CNN system pretrained on the large ImageNet dataset of 14 million images and

1000 classes in order to learn feature selection. The results of the pretraining

phase are transferred to the problem of classification for the images belonging to

the UC Merced Land Use dataset with 21 classes. As benchmark, we have

considered a Deep CNN trained with a fraction of the same UC Merced Land Use

dataset containing the test images for classification. The experimental results have

pointed out the obvious advantage of the Deep CNN with transfer learning

(accuracy of 0.87 using pretraining over 0.46 for fully training on the same

dataset).

Keywords—Artificial Intelligence, Deep Learning, Convolutional Neural

Networks, Image Classification, Transfer Learning, Feature Selection

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 131




Poster

DESIGN AND ANALYSIS OF A NEW G-SHAPE

SINGLE LAYER REFLECTARRAY ANTENNA

Noor Naeem and Musa Wali

Abstract—In this paper, a new design single layer rectangular patch microstrip

reflectarray antenna (MRAA) with G-shape slot has been suggested for satellite

communication. A 6 GHz, C-band resonance frequency is targeted in this work.

Each shape is constructed using the proposed elements with variable dimensions.

The selection of shapes-pattern is based on the beam-shaping of the antenna. 3-

dB gain bandwidth of 32.21 dB and linear phase range 326º has been obtained for

this design. Maximum reflection efficiency 97.49%. Suitable results have been

acquired from simulated work for the application frequency band, which is

approved by the manufactured antenna. Despite the small size of the antenna, it

has acceptable results compared with the traditional parabolic antenna. Horn

antenna is used to feed the reflectarray antenna. The purpose of the antenna

design to obtain a wide reflection phase, lower reflection losses and high gain.

Keywords—microstrip, antenna, reflectarray

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 132




Poster

SOLUTION TO CONNECT A PHOTOVOLTAIC

POWER STATION TO THE NATIONAL

POWER GRID IN OPTIMUM ECONOMIC

CONDITIONS

Angelo Nicolae Petre, Brana Liliana Samoila and Ilie Utu

Abstract—For many investors, the connection of photovoltaic power plants to

the National Power Grid represents a real challenge and an important stage,

which costs about 10-15% of the total investment, sometimes even more, if the

technical connection opinion requires other works. The works presented in the

paper answer the following aims: connecting a photovoltaic power station to the

grid at minimal cost and directing the energy generated by the photovoltaic plant

first to its own consumers and only the surplus being injected into the network.

Keywords—photovoltaic station, solar panel, electricity, connection

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 133




Poster

SMART SERVICE SYSTEMS: SECURITY AND

PRIVACY CHALLENGES IN THE INTERNET

OF THINGS

George Suciu, Hussain Ijaz, Roxana Damian, Ioana Petre, Gabriel

Petrescu and Oana Chenaru

Abstract—Monitoring and detecting changes in the environment and can be

used for several purposes. To develop new advanced services for smart

environments, data gathered during the monitoring need to be stored, processed

and correlated to different parts of the information that characterizes or

influences the environment itself. With the quick advancement in enabling

technologies for ubiquitous computing, more and more active or passive

devices/sensors are augmented in the smart indoor environment. Service

innovations, enabled by the confluence of big data, mobile solutions, cloud, social,

and cognitive computing, and the Internet of Things (IoT), have gained a lot of

attention among many enterprises in the past few years because they represent

promising ways for companies to effectively and rapidly deliver new services. But

one of today's most pervasive and bedeviling challenges is how to start this

journey and stay on course. In this paper we present our state-of-the-art

technology and IoT devices, how they are playing a vital role in making the world

advanced. The biggest conclusion is that all the information and communications

technology (ICT)-enabled service innovations need to be human-centered and

focused on co-creating value. We took into consideration smart home/office IoT

systems, the related security and privacy challenges and an outlook on the possible

solutions towards a holistic security framework for these IoT systems.

Keywords—Smart environment, IoT devices, WiFi communications, Big Data,

Analytics, Digitization, Smart Service Systems, Digital Service Innovation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 134




Poster

A CASE STUDY IN THE USABILITY

EVALUATION OF AN ONLINE PUBLIC

SERVICE USED BY SENIORS

Adriana Alexandru, Dragos Daniel Iordache, Maria Gheorghe-Moisii

and Eugenia Tirziu

Abstract—Usability is an important aspect of IT applications being a priority

requirement in online public services. This paper presents the evaluation of the

usability of the national house of public pensions portal. The portal evaluation

involved four experts who tested the portal based on the usability inspection

method. The results of the evaluation revealed several important usability

problems that have to be fixed in order to ease the use of the portal by older

people.

Keywords—usability inspection, public service, seniors

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 135




Poster

UNCERTAINTY-BASED DECISION MAKING

IN THE PLANNING OF ELECTRIC

TRANSMISSION NETWORKS

Bogdan Constantin Neagu and Gheorghe Grigoras

Abstract—In the planning stage of the electric transmission networks, the

experts should include in the decision making process the uncertainties regarding

the economic or technical aspects that may arise. According to the time horizons

(short, medium, long term), there are different types of uncertainties which can

to be included in planning stages. Need to include different uncertainties will

probably lead to increased usage of fuzzy approach in the planning of the electric

transmission networks. The paper presents an analysis of economic efficiency

assessment of planning variants of an electric transmission network in

uncertainty conditions regarding the demands from supply areas, the electricity

tariff, and the discount rate during the study period. These uncertainties were

modelled using fuzzy techniques. The robustness of fuzzy approach was tested

using a test electric transmission network, and the obtained results were

compared with deterministic approach. They have demonstrated that the fuzzy

techniques-based approach can be used with the success in the decision making

process regarding the planning of the electric transmission networks.

Keywords—uncertainties, decision making, development planning, electric

transmission networks

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 136




Poster

PERFORMANCE EVALUATION OF THE VOIP

NETWORKS USING TUNNELING

TECHNIQUES

Petrica Ciotirnae and Lucian Murariu

Abstract—The solution of distributing data between multiple sites over public

networks is a solution that most companies value more and more. This strategy is

justified by its multiple advantages, particularly in terms of data availability.

However, the intermediary network through which these operations are carried

out is often the Internet. No one can deny that this network does not provide any

mechanism of privacy, integrity, or authentication. The purpose of this paper is

to analyze the key performance indicators (KPI) of a Voice over IP network that

crosses a public network using VPN (Virtual Private Network) technology.

Keywords—VoIP, VPN, PKI

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 137




Poster

PRELIMINARY CONSIDERATIONS

REGARDING THE CRYPTOGRAPHIC

STRENGTH OF THE PIXEL SIEVE

CRYPTOGRAPHIC PRIMITIVE

Incze Arpad

Abstract—Based on the theoretical model of the Pixel Sieve cryptographic

primitive a simple application was written to test in practice the proposed method.

In this paper some preliminary test results are presented regarding the

cryptographic strength of the method. For the appointed weaknesses conclusions

and proposals are made to enhance the method.

Keywords—cryptography testing, visual cryptography, secret sharing

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 138




Poster

POWER MONITORING IN EMBEDDED

SYSTEMS USING PAC1934


Abstract—When it comes to designing embedded devices, one very important

aspect is always the system’s power consumption. This parameter is even more

critical if the embedded system is powered from a battery. There are many

variables that can influence the power consumption and each of the system’s

components can have a big impact on the power consumption. This paper presents

a solution for monitoring the power consumption for embedded systems using the

Microchip PAC1934 quad DC power monitor. This solution is analyzed using a

typical embedded system based on an 8-bit microcontroller. The purpose of this

analysis is to help engineers analyze the power consumption of their embedded

system and design energy optimized embedded software.

Keywords—embedded, PAC1934, microcontroller, current, power, monitoring,

measurements

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 139




Poster

RANSOMWARE HONEYPOT

Cristian Pascariu and Ionut - Daniel Barbu

Abstract—Ransomware poses a major threat to information integrity and

availability. This type of malware will encrypt files on infected computers and

demand ransom in return to restoring access. These scale to companies and

institutions with devastating consequences. The goal of this paper is to propose a

solution based on low cost hardware that will serve as a honeypot or trap for

Ransomware viruses and it will alert defenders, giving them valuable data about

the type of ransomware, which computer got infected first, and if there are any

decryption software available.

Keywords—Rasnsomware, hoenypots, samba, docker

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 140




Poster

ORIGINAL ELECTRIC CORKSCREW WINE

BOTTLE OPENER

Tudor Cătălin Apostolescu, Silviu Petrache, Georgeta Ionaşcu, Lucian

Bogatu and Cartal Laurențiu Adrian

Abstract—The subject of this paper concerns an automatic device for extracting

the cork, so that a comparison has been made between different solutions of

electric devices, although the problem of automation is more complex. The

adopted mechanism differentiates the screwing function of the corkscrew into the

cork from that of the cork extraction. Consequently, a space-driven mechanical

switching system with lever is proposed. The system is, also, equipped with a

mechanical bistable device, which ensures the stability of the two states. The bottle

cork extractor device, described in this paper, does not have a complete

automation, because it requires manual operation for tipping the transfer lever.

First of all, it was pursued a convenience of serving in the sense of minimal forces

of user action. 3D modeling with SolidWorks programming environment has been

used to design the device. Calculations for driving the device are, also, presented.

Keywords—corkscrew wine bottle opener, electrical actuation space-driven

mechanical switching system, mechanical bistable device, 3D modeling

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 141




Poster

THE ESTIMATION OF MONTHLY

ELECTRICAL ENERGY CONSUMPTION

WITH FEED FORWARD NEURAL NETWORKS


Abstract—In this paper we present a method for the estimation of the monthly

electric energy consumption, in a house, using a feed forward neural network. The

network is trained with the backpropagation algorithm and the patterns used for

training are the previous months’ consumption. The network was trained using

real consumptions from a house, from the previous three years. We used for the

network three input neurons, and on these three inputs will be placed the

consumptions for the previous three months, and the network will estimate on its

output the consumption for the current month.

Keywords—feed forward neural network, energy consumption, non-linear

function approximation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 142




Poster

AUTOMATIC GENERATION OF QUIZZES

FOR JAVA PROGRAMMING LANGUAGE


Abstract—Java is an objected oriented language that is platform independent.

That is why it is widely used for Internet programming. A beginner that starts to

study Java language has firstly to learn how an object is instantiated based on its

constructor, how a public method is called from another class based on its

signature and on class constructor, how a public and static method is called, based

on its signature and on class name, how a public instance variable can be used in

a method defined in a different class and how to access a constant defined in class

in another class. In this paper it is presented an automatic way of generating

random questions concerning these basic issues. These questions are presented to

the student and he has to edit his answers. The paper also presents an automatic

way of verifying the correctitude of the answers.

Keywords—Automatic quiz generation, parameterized questions, regular

expressions, educational software

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 143




Poster

DESIGN AND IMPLEMENTATION OF A HOME

AUTOMATION SYSTEM

Marian Bogdan Bodea, Petre Anghelescu, Bogdan-Mihai Gavriloaia

and Dragos-Nicolae Vizireanu

Abstract—Given that the society we live in is continuously moving and

expanding and that most people have access to the Internet and thus to

information, more and more people rely on safety systems such as "Home

Automation". In this paper we will describe the design and implementation of

such a system. Several types of sensors, a controller, a wi-fi connection and a

NodeMCU module have been used in the design of the system. All the sensors are

connected to a controller and the internet connection is enabled by

interconnection between the module NodeMCU and the Arduino Mega 2560

controller. The paper sets out experimental results stemming from various

working scenarios.

Keywords—hardware design, software design, home automation systems, sensors,

embedded systems

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 144




Poster

ALTERNATIVES FOR RUNNING LINUX

APPLICATIONS IN WINDOWS

Valeriu Manuel Ionescu, Manan Patel and Drashti Hindocha

Abstract—The Linux operating system is used because it is open source, free,

stable and has many applications in security domain. In university engineering

classes it is used alongside Windows, therefore it is important to allow students to

run Windows and Linux applications at the same time on the same computer. This

paper presents a comparison between Windows Subsystem Linux, Docker,

Cygwin and Oracle VM VirtualBox as solutions for running Linux guest

applications in a Windows 10 host environment. The tests target the application

performance and inter-process communication performance and the conclusions

show the advantages and disadvantages of using each solution for running Linux

applications in a Windows host.

Keywords—VirtualBox, Docker, Windows Linux Subsystem, Cygwin,

performance

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 145




Poster

BUILDING AND DESIGNING A DUAL AXIS

SOLAR TRACKER FOR EDUCATIONAL

PURPOSES

Florin-Ciprian Argatu, Florentin-Daniel Tarcau, Violeta-Vasilica

Argatu, Sorin-Dan Grigorescu, Bogdan-Adrian Enache and Luminita-

Mirela Constantinescu

Abstract—This paper aims to put in evidence the functional principle of a solar

tracker in an easy to understand manner for students. It will start from presenting

the concept of green energy, the principle of how a photovoltaic cell is made, how

to increase the efficiency of a solar panel by orientation after its movement and

what algorithms can be used in order to increase the overall efficiency. It will also

study the implementation of a practical solution using a solar panel on two

freedom axes with two servomotors and four photoresistors which are controlled

by an Arduino UNO unit so the direct exposure time of the panel in the Sun can

be increased.PV, MPPT, solar energy, Tracking System, Arduino UNO

Keywords—PV, MPPT, solar energy, Tracking System, Arduino UNO

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 146




Poster

REMOTE CONTROL FOR SMART HOME

APPLICATIONS

Felix-Constantin Adochiei, Razvan-Constantin Stefan, Ioana-Raluca

Adochiei, Bogdan-Adrian Enache, Luminita-Mirela Constantinescu and

Marius-Ciprian Larco

Abstract—This paper presents some basic concepts about what smart home

means, why it is necessary to build such a home in the future, but also what

technologies we have applied to automate different processes. Several means for

process automation are analyzes and a less intrusive one is chosen and presented

in details.

Keywords—smart home, internet of things, process control, automations

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 147




Poster

NUMERICAL METHOD FOR MODELING THE

INPUT-OUTPUT CHARACTERISTIC IN A

COGENERATION POWER PLANT

Enescu Alexandru, Andrei Horia, Diaconu Emil and Ion Valentin

Abstract—Nowadays the diversification of energy production, especially with

renewable sources, is one of the objectives of sustainable development and the

characterization of their functioning and parameters is the subject of interest of

the researchers. For green power plants running on biomass, the amount needed

is variable depending on several factors. This article aims to determine a

dependence between the input-output parameters of cogeneration plant, namely

between the biomass consumption and electrical power generated. Using the data

collected in the last 3 years from the first such plant that has been operating in

Romania since 2014, an interpolation method and an original ordering of annual

values are used to obtain the accurate dependence input-output.

Keywords—cogeneration power plant, biomass, cogeneration engine, electric

energy output, approximation model

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 148




Poster

DIGITAL MEDIA DISTRIBUTION PLATFORM

USING AMAZON WEB SERVICES

Marius Alexandru Dinca, Nicoleta Angelescu, Radu Dragomir, Dan

Constantin Puchianu and Ion Caciula

Abstract—Digital Media Distribution platforms are necessary for delivering

multimedia content. Classic client-server approaches and 3-tier architectures are

not optimized for media processing. In this paper we present a serverless modern

digital media platform for media content distribution based on the Amazon Web

Services (AWS) cloud platform, namely CloudFront for static content cashing, S3

for data storage, Lambda for the dynamic content and Elastic Transcoder for

media format conversion. The proposed platform offers reduced loading times

and efficient media format conversion/ distribution.

Keywords—video transcoding, serverless architecture, Amazon AWS cloud

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 149




Poster

THE IDENTIFICATION OF INTELLIGENT

INTERACTIONS BETWEEN EDUCATION AND

LABOUR FORCE MARKET

Mironela Pirnau, Radu Mircea Carp Ciocardia, Claudiu Pirnau, Liviu

Daniel Ghiculescu and Niculae Marinescu

Abstract—In the digital economy characterized by specific interactions among

various economic, cultural, scientific, educational and technologic factors, the

labour force market is changing continuously. In its turn, this requires a qualified

and flexible labour force that can adapt to the market needs. The ability to defeat

competition at a national and international level, is based on the indissoluble link

between education and employment, because the former allows a greater

receptivity of the educational system to the requirements of the labour market.

The approach of the present paper is a multidimensional one, examining the

interactions between the educational productivity and the employment

requirements. The research is based on some questionnaires which allow a better

understanding of the processes and results of some educational systems, together

with the requirements specific to the labour market. All proofs suggest that the

entities that meet the educational standards, interacting with the market and

promoting change, offer higher chances of employment and better conditions on

the labour force market. The relation education-labour market, based on the

inputs and outputs in the collaboration process, must mainly lead to diminishing

the disparities caused by the continuous change. The present paper aims at

identifying and characterizing certain relations that might occur between the type

and the content of the educational programs, on the one hand, and employment,

on the other hand.

Keywords—education, data analysis, data bases, correlation coefficient

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 150




Poster

PERFORMANCE IMPROVEMENT OF A

PHOTOVOLTAIC SYSTEM USING A

PROGRAMMABLE MICROCONTROLLER

Daniel Marius Marcu, Florin Gabriel Popescu, Brana-Liliana Samoila,

Razvan Ioan Slusariuc and Titu Niculescu

Abstract—It is well known that solar radiation can vary considerably over the

course of a day or from one day to the next. In this paper we are presenting the

design of a simple MPPT (Maximum Power Point Tracker) charge controller

based on perturb and observe algorithm embedded into Atmega 2560

microcontroller. The voltage of the solar panels operating at their peak power

point at Standard Testing Conditions is 25C° is higher than the battery’s voltage.

As solar module operating temperature goes down, the voltage increases. So, the

MPPT controller is able to capture the excess module voltage to charge the

batteries. As a result, a MPPT controller in low temperature conditions can

produce up to 30%. The charge controller will use the microcontroller, DC-DC

buck boost circuit, sensors that will read the electrical information from the

photovoltaic panel and the battery.

Keywords—algorithm, tracking, controller, conversion, photovoltaic

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 151




Poster

DYNAMIC WEB FOR EFFICIENT

EDUCATIONAL MANAGEMENT

Gheorghe Serban and Florentina Magda Enescu

Abstract—Today’s web applications should not stagnate in front of the native

software, which is available on mobile devices and on the desktop platforms we

are so used to. They must be able to achieve the same quality in the interaction

with the user, while at the same time providing an extremely high level of security

without requiring high costs from the servers.

The article aims - through the use of the most used web technologies - to

illustrate the inception of a software solution meant to improve and facilitate the

students’ relationship with the teaching staff, and also to provide the students

access to their grades, informing them about school announcements and the

didactic materials uploaded on the online platform by the professors. The

platform, built as a dynamic web, allows users to create and post educational

management documents.

Keywords—educational management, databases, Laravel, application

architecture, function state

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 152




Poster

WEB PLATFORM FOR E-LEARNING

Florentina Magda Enescu, Gheorghe Serban and Mariana Jurian

Abstract—This paper illustrates a way to which the software technologies spur

the development of a web e-learning platform. The method aims to build

consistent web applications, having a better and safer interaction with the user,

while at the same time consuming less hardware resources meant for the server

and ensuring interoperability.

The web platform means an easily usable instrument, which allows the passage

of knowledge to the course takers, thing that is possible by making use of the new

generation software technologies. The transmission of messages and files is

possible from the teacher to the student, and the opposite.

Keywords—Laravel, Database, mod, platform, E-Learning

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 153




Poster

ONLINE QUIZ IMPLEMENTATION USING

BLOCK CHAIN TECHNOLOGY FOR RESULT

TEMPERING PREVENTION

Valeriu Manuel Ionescu and Elena-Carmen Tentea

Abstract—Online quizzes are often used today in Elearning because they allow

quick updates for both the quiz creation technologies and the quiz contents. There

are many challenges that need to be solved in the domain of online testing,

especially test result data storage, non-repudiation and result tempering

prevention. While many previous papers have focused on the potential of using

novel technologies for enhancing education and online testing, this paper will

showcase the custom build of a system that allows single sign in, creation of

custom quizzes, solving quizzes and result tempering prevention. The technologies

used will be presented: Angular (for interface implementation), Firebase (as the

Real time database) and Blockchain (for result tempering prevention). The

conclusions will outline the challenges of the implementation and plans for future

development.

Keywords—quiz, blockchain, tempering prevention, Firebase, Angular

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 154




Poster

DEVELOPMENT OF A WEATHER MOBILE

APPLICATION IN ANDROID STUDIO

OPERATING SYSTEM

Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia

Novac, Mircea Petru Ursu, Mihai Oproescu and Camelia Maria

Dindelegan

Abstract—The goal of this paper is to find out what are the steps in developing

an application, the difficulty of it and future improvements. With this occasion,

we chose to develop a weather application. A weather application is a very handy

one, with daily usability and can be constantly updated to fit certain needs. Many

people now rely on data directly from their smartphones and the weather forecast

is something indispensable to have. The most commonly used development

environment is Android Studio, the all in one developing tool which ensures full

control on the application development.

Keywords—Android Operating System, Android Studio, weather forecast,

smartphone

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 155




Poster

OVERVIEW OF E-SERVICES PROVIDING IN

SMART CITIES

Eugen Pop and Sorin Puscoci

Abstract—Smart Cities represents a domain which is of a great interest form

the scientific, economic and political point of view. In many cities, around the

world, a “Smart City” strategy intends to increase the efficiency of the resources

and infrastructures management fulfilling, in the same time, the requirements of

development, inclusion and sustainability. The city authorities and headquarters

are interested to apply procedural and methodological procedures in order to

solve the urban problems more efficiently, to become more sustainable and

competitive by deployed and providing e-services. This paper presents the Smart

City concept and the and an overview of the main eservices types used to deploy

it. In order to support decision-makers, the ITU-T Focus Group for Smart Cities

(FG-SSC) and sustainable, is proposing the development of a set of performance

indicators to highlight how ICT solutions contribute to intelligent cities

implementation.

Keywords—Smart City, e-Services, ICT infrastructure, IoT

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 156




Poster

DEVELOPMENT OF A WEATHER

APPLICATION IN ANDROID AND IOS

OPERATING SYSTEMS

Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia

Novac, Mihai Oproescu, Cornelia Gordan and Gyöngyi Bujdosó

Abstract—This paper is meant for a better understanding of the main mobile

operating systems, Android and iOS, and the overall development of a weather

application, determining the strengths and flaws of each platform. The goal is to

provide a detailed study of the two mobile platforms, how they work, their market

share and the time and costs needed for development.

Keywords—Android OS, iOS, Operating Systems, platform, weather application

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 157




Poster

A SOLUTION TO IMPLEMENT GROVER

QUANTUM COMPUTATION ALGORITHM

USING THE BINARY REPRESENTATION OF

THE PHASE ON THE FPGA

Laurentiu-Mihai Ionescu, Alin Gheorghita Mazare, Gheorghe Serban,

Ioan Lita and Daniel Alexandru Visan

Abstract—The system proposed in this paper will be used to implement the

Groove quantum computation search algorithm: look in a content addressable

memory and find location for a data. Unlike other solutions implemented in

FPGA, our solution is trying to achieve the performance of a quantum computing

system on resources allocated and search speed.

Keywords—Quantum computing, FPGA, Grover algorithm

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 158




Poster

COLOR-BASED SORTING SYSTEM FOR

AGRICULTURE APPLICATIONS

Ioan Lita, Daniel Alexandru Visan, Laurentiu Mihai Ionescu and Alin

Gheorghita Mazare

Abstract—This paper presents the design and the implementation of a real-time

color based sorting system that is intended to be used in agriculture applications.

The control part of the system is realized with the versatile microcontroller

Atmega328. The color detection of the analyzed objects is obtained with the

specialized digital sensor TCS230 that contain all the circuitry that is necessary

for converting the light into frequency signal for convenient acquiring and

processing with the microcontroller. The actuation elements of the sorting system

are realized with a set of TowerPro SG90 servomotors which have a very

lightweight construction but are capable to generate relatively high output power.

Being a microcontroller-based system that relies on an advanced color sensor and

dedicated proprietary control software, the proposed sorting system is

characterized by improved reconfigurability and adaptability. The system can be

easily integrated within a very broad spectrum of applications including Internet

of Things or quality control in industrial domain.

Keywords—system, reconfigurability, color sensor, agriculture

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 159




Poster

DIRECT SEQUENCE SPREAD SPECTRUM

COMMUNICATION MODULE FOR EFFICIENT

WIRELESS SENSOR NETWORKS

Daniel Alexandru Visan, Mariana Jurian, Ioan Lita, Laurentiu Mihai

Ionescu and Alin Gheorghita Mazare

Abstract—In this paper is presented the design and the implementation of a

communication module that is based on the highly efficient direct sequence spread

spectrum transmission technique (DSSS). The proposed system is intended for

applications in the field of distributed wireless sensor networks used for remote

monitoring of physical quantities in multipoint locations placed on large

geographical areas. The implementation solution of the module ensures high noise

rejection and elevated data transmission speed under conditions of good spectral

efficiency. Also, the architecture of the system is compatible with the code division

multiple access technique allowing simultaneously transmission of signals from

multiple sources without significant performance degradation.

Keywords—spread spectrum, communication system, wireless sensor networks

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 160




Poster

THERMAL AND ELECTRICAL

INVESTIGATION OF GRAPHENE-ENHANCED

CONDUCTIVE POLYLACTIC ACID BASED

FILAMENTS FOR 3D-PRINTING

Andrei Drumea, Robert Alexandru Dobre and Cristina Ioana

Marghescu

Abstract—3d printing technologies have greatly evolved in the last decade,

allowing the construction of complex structures with good mechanical properties

and reduced costs. These aspects are interesting in some areas of electronics

technology, like realization of electrical interconnections and sensors. The 3d

printed structures realized with polylactic acid based filaments are cheaper to

manufacture than standard copper-based technology for interconnects [1] but

resistivity is too high. Presented paper analyzes graphene-enhanced polylactic

acid (PLA) based conductive filament samples that offer lower resistivity. The

variation of the DC resistance with temperature and impedance dependence on

frequency are analyzed. The results in this paper can be used to develop new cost

effective and easy to manufacture applications like printed temperature sensors,

conductive traces, flexible thermal protection circuits, or new cases for electronic

modules that could also act as a temperature fuse besides the default role of

preventing ESD damaging.

Keywords—

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 161





TINY NETWORK INTRUSION DETECTION

SYSTEM WITH HIGH PERFORMANCE

Andrei Marius Avram, Mihai Lica Pura and Stefan-Adrian Toma

Abstract—Network Intrusion Detection Systems (NIDS) are a critical

component in any security system and their role is to monitor traffic on a network,

looking for suspicious activity (e.g. attacks, unauthorized activities). Neural

networks have become an increasingly popular solution for implementing

network intrusion detection. Their ability to identify complex patterns and

behaviours have made them a suitable solution for differentiating between normal

and malicious traffic. One of the major problems encountered in implementing

such neural networks is that they are computational and memory expensive and

they can cause massive overhead in small embedded devices. This paper proposes

a deep autoencoded dense neural network for detecting network attacks, trained

and evaluated on NSL-KDD dataset that can satisfy the memory and real time

constraints of such systems. The hyperparameters of the model are tuned, and

three variants with different sizes and accuracies are proposed in order to

produce flexibility in choosing the correct architecture for the desired platform.

Keywords—Intrusion Detection System, Neural Networks, AutoEncoders

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 162





WEB GUI FOR AUTOMATING THE FORMAL

VERIFICATION OF SECURITY PROTOCOLS

USING CASPER&FDR4

Andreea Scurtu and Mihai Lica Pura

Abstract—Over the last two decades, Casper&FDR have proved to be two very

important tools in the domain of formal verification of security protocols. Both

their creators and the formal verification community have used these tools to find

attacks on proposed security protocols and to also design fixes for them. This

paper presents a web application developed with the purpose of automating the

use of Casper&FDR, to ease the model checking process based on these tools and

to provide some extra functionality for the analysis of the obtained results in the

form of graphical representation of the verified protocol and on the reported

attacks. The mentioned ongoing importance of these tools has motivated the work

described in this paper and also indicates its potential importance.

Keywords—formal verification, model checking, Casper, FDR4, security

protocols

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 163





A DEEP LEARNING BASED INTRUSION

DETECTION SYSTEM ON GPUS

Gozde Karatas, Onder Demir and Ozgur Koray Sahingoz

Abstract—In recent years, almost all the real-world operations are transferred

to cyber world and these market computers connect with each other via Internet.

As a result of this, there is an increasing number of security breaches of the

networks, whose admins cannot protect their networks from the all types of

attacks. Although most of these attacks can be prevented with the use of firewalls,

encryption mechanisms, access controls and some password protections

mechanisms; due to the emergence of new type of attacks, a dynamic intrusion

detection mechanism is always needed in the information security market. To

enable the dynamicity of the Intrusion Detection System (IDS), it should be

updated by using a modern learning mechanism. Neural Network approach is one

of the mostly preferred algorithms for training the system. However, with the

increasing power of parallel computing and use of big data for training, as a new

concept, deep learning” has been used in many of the modern real-world

problems. Therefore, in this paper, we have proposed an IDS system which uses

GPU powered Deep Learning Algorithms. The experimental results are collected

on mostly preferred dataset KDD99 and it showed that use of GPU speed up

training time up to 6.48 times depending on the number of the hidden layers and

nodes in them. Additionally, we compare the different optimizers to enlighten the

researcher to select the best one for their ongoing or future research.

Keywords—deep learning, intrusion detection, optimization functions, IDS on

GPU

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 164





ENABLING THE INTEGRATION OF HEALTH-

EMERGENCY ALERT WITH PRIVACY OF

PATIENTS’ LOCATION BASED SERVICES

Imad Ali Hasson, Nicolae Tapus and Algayar Sarmad Monadel S

Abstract—The popularity of Self-service technologies (SSTs) in healthcare has

increased in recent times, for their capabilities in quality improvement. Patients

are more independent in care processes by using SSTs applications, such as

wearable measurement instruments, apps for smart devices or services over the

Internet. These services serve various purposes, such as status logging or

customer interface. The more advanced ones provide smart environments for

supporting patients and follow-up. The main advantage of SSTs is the fast

response to emergencies and improved patient-paramedic communication. The

drawbacks of these technologies refer to concerns about data privacy or

erroneous information provided by the user. This paper proposes fast, flexible,

privacy and secured communication levels for SSTs.

Keywords—Self-services, E-Health, Cloud computing, Privacy, Patients’ location

Services

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 165





MEDICAL SOCIAL MEDIA SYSTEMS –

IMPLEMENTATION OF THE ANDROID

APPLICATION

Sarmad Monadel Sabree Algayar, Nicolae Goga, Imad Ali Hassoon and

Mohammed Tali Qasim Almalchy

Abstract—The use of cutting-edge technologies such as the smartphones, smart

bracelets, social media, and m-Health, and also mobile applications has begun to

increase in medicinal services areas, due to factors such as, the low cost, usability,

mobility, multiple uses, and being reliable. This encouraged health institutions, to

increase their investment in healthcare technologies.

This article presents the implementation of an integrated architecture for a

mobile healthcare system, which is called Medical social media system. This

system integrates wearable sensors, smartphones, and oriented social media, so as

to enhance the healthcare services in the Iraqi environment. The system enables

smartphones, running on the Android system and smart-watches. In addition, the

website can be utilized by devices like desktops, notebooks, tablets, and

smartphones which can be utilized maximally for data collection and analysis via

user-system interactivity, utilizes wearable sensors, smartphones that

automatically collect life activities information, such as exercises information like

heart rate, the breathing rate, and body temperature. In order to provide

healthcare services to patients, and medical workers in the Iraqi healthcare

sector, the infrastructure still needs to significantly develop, and medical

information needs to be shared amidst medical workers and to individuals in

general. Moreover, it has been designed to store collected data in a database and

to be able to produce reports to users.

Keywords—M-Health, Social Oriented Networks, Android Applications.

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 166





INTELLIGENT SOLUTIONS - BASED

FRAMEWORK FOR DIGITAL PUBLIC

SERVICES. A CASE STUDY FOR SMART

TRANSPORTATION

Marilena Ianculescu, Lidia Bajanaru, Ion Alexandru Marinescu and

Ciprian Dobre

Abstract—Digital technology landscape is continuously improving, dragging

along both the transformation of public services and new demands of citizens.

Emerging new technologies like Artificial Intelligence, Machine Learning, Deep

Learning or Internet of Things provide tremendous means to implement

intelligent solutions for reshaping digital public services. This paper aims to

disclose the most important features of several intelligent technologies and of

these types of public services that can be integrated for providing new capabilities.

An AI-based architecture for supporting digital public services in the smart

transportation sector is presented in order to demonstrate the highlighted ideas

and concepts.

Keywords—digital public services, intelligent technologies, AI, smart

transportation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 167





ACCEPTANCE OF THE TECHNOLOGIES

DEPLOYED FOR THE DEVELOPMENT OF

ONLINE PUBLIC SERVICES AND SYSTEMS

USED BY ELDERLY

Adriana Alexandru, Dora Coardos and Eleonora Tudora

Abstract—Accepting new Information and Communication Technologies (ICT)

and online public services is an important issue that is an active subject of

research. The paper addresses models of adoption and acceptance of new

technologies with reference to the elderly. These models are compared in terms of

acceptability factors. The paper also presents an analysis of the challenges and

obstacles regarding the acceptance of technologies by older people. In addition, as

a case study of the technologies, the acceptance the mobile phone by the elderly

and the Senior Technology Acceptance and Adoption Model are presented.

Finally, a set of factors relevant to the acceptance by older users of the mobile

phone is extracted.

Keywords—elderly, acceptance of technology, TAM, UTAUT, STAM, MOPTAM,

online public services

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 168





MODELING ECONOMIC INFLUENCE ON

TECHNICAL DECISIONS IN URBAN, IOT-

BASED WATER MANAGEMENT SYSTEMS

Diana-Andreea Arsene, Bogdan-Ionut Pahontu and Valentin-Alexandru

Vladuta

Abstract—Water is one of the most important resources for survival. Nowadays,

there is a continuous preoccupation for optimizing the use of water resources. The

paper presents the model of a decision support system for the optimization of

water consumption, which starts from the definition of different consumer

profiles. In the water resource management system, several stakeholders are

involved: the supplier, the state authority and the consumer, which are linked by

well-defined contractual relationships. Depending on the consumer profile, the

supplier may establish different types of contracts that favor responsible water

use. The system proposes consumer profile oriented scenarios that reflect the

influence of consumer habits on water consumption.

Keywords—Economic Modeling, Management, Water Systems, Wireless Sensors

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 169





IMAGE AND VIDEO COMPRESSION

ARTIFACT REDUCTION AT LOW BIT RATES

USING LOCAL COSINE TRANSFORM IN

CONJUNCTION WITH SIGNIFICANCE MAP

CODING

Hakkı Ilgin, Ahmet Akbulut and Aykut Kalaycıoğlu

Abstract—In this study, we present an image and video compression method,

which is efficient at low bit rates and includes local cosine transform (LCT) and

significance map coding. Low bit rate image or video coding causes distortion and

artifacts such as blocking effect, which is induced by block-based discrete cosine

transform (DCT). On the other hand, another block-based method, LCT, which

implements DCT, decreases blocking artifact, because it folds contiguous blocks

before applying DCT. Significance map coding (SMC) achieves better

image/video quality and decreases artifacts when compared to the conventional

DCT coding approach. We apply SMC in conjunction with LCT for further

improvement as shown by the experiments.

Keywords—Local cosine transform, significance map coding, image compression,

video coding

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 170





BIOMETRIC SYSTEM BASED ON FACIAL

RECOGNITION

Miruna Elena Trufasila and Petre Anghelescu

Abstract—This work relates to the implementation of an effective face detection

and recognition method that can be used as a module in person identification

depending on features. The algorithm used in the biometric system is devised into

two steps. The first step, called facial detection, is based on Haar cascade

technique - composed of sets of Haar-type features. The second step, called facial

recognition, is based on principal component analyses (PCA) algorithm. The

recognition process is accomplished by converting the current image into feature

vector using PCA technique and then the face is recognized by comparing its

characteristics with the already stored persons. The complete application was

implemented in C# programming language and the results were achieved using

the wireless IP camera of type SM6203.

Keywords—Biometric system, Face detection, HAAR features, Face recognition,

PCA

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 171





AUTOMATIC RECOGNITION OF HAND

GESTURES

Cristian Mocanu and George Suciu

Abstract—Developing and implementing a software algorithm for detecting,

recognizing and interpreting hand gestures. The project involves an automatic

real-time image analysis system that recognizes several predefined movements.

The analysis system first involves locating and separating the areas of the image

associated with the hand, followed by the motion classification (recognition).

These movements will be transposed into commands to an integrated device.

Keywords—Hand gestures, Human-Computer Interaction, Commands

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 172





SMART CITIZEN – A PARTICIPATORY CO-

CREATOR FOR ENHANCING ONLINE PUBLIC

SERVICES

Marilena Ianculescu, Ovidiu Bica, Alexandru Balog and Irina Cristescu

Abstract—The smart citizen is a citizen not only accustomed with the daily use

of digital technology, but one who feels empowered and entitled to actively

participate at the designing and improving the online public services in his direct

benefit and also for his city advantage. Smart technologies have become a

compulsory driver for establishing a proper foundation inside a smart city. This

paper focuses on presenting the smart citizen as an enabler of better online public

services in the context of a smart city. For illustrating his participative role, a

proposed functional architecture for enhancing online public services is put in.

Keywords—smart citizen, smart city, online public services, smart environment

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 173





PAIN RELIEF USING VIRTUAL REALITY

Ioan Alexandru Bratosin, Ionel-Bujorel Păvăloiu, Andrei Vasilăţeanu,

Diana Gavajiuc, George Drăgoi and Nicolae Goga

Abstract—A serious issue in the medical field is the treatment of patients

affected by chronic pain, burns or recovery treatment after an accident or

surgery. The regular treatment is providing the patient with opioid pain relievers

medications that in a wide variety of cases leads to addiction. To prevent the

partial use of pain reducing drugs in patients that suffer from minor to medium

pain and delay their use as much as possible, we propose the use of Virtual Reality

technology. Current technological advances have allowed virtual reality

application to leave their mark in the medical sector by the use of different

training simulators and applications that help the doctors experience from

simulating a variety of surgeries. In this paper we present the effects of Virtual

Reality immersion on patients that suffer mild to medium pain, as well as our

knowledge in the implementation of a virtual reality application that can achieve

a positive effect on this serious issue. A direct benefit of successfully creating an

application would be the reduction in the amount of pain the patient feels. A

second positive effect would be the decrease in the consumption of pain relievers

and a better response of the patient to the recovery treatment without the risk of

becoming depended on opioids.

Keywords—virtual reality, pain relief, pain management

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 174





IDENTIFICATION OF CORRESPONDENTS

BETWEEN A STANDARD SERIES

COLLECTION AND AN EXPERIMENTAL

SERIES COLLECTION

Petru Cardei, Sebastian Muraru, Raluca Sfiru and Vergil Muraru

Abstract—The article proposes a method of comparing a collection of series

representing the experimental data characterizing a physical phenomenon with a

collection of series representing data archived in a catalog, of the same

phenomenon, having in addition to the experimental data collection a number of

characteristics for each series included. The goal is to associate each series of the

sample collection of a series in the catalogue collection through a "proximity"

relationship based on a statistical estimator. Once the "closest" series in the

catalogue is determined, for each series in the sample collection, the additional

features corresponding to the catalogue series, "closest", are associated with the

series in the sample collection. The described process is one of the steps that

attempt to improve a method of identifying physical properties of physical

environments or objects.

Keywords—statistic, series, identification, recognition

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 175





NUMBER-PLATE RECOGNITION AND

EXAMINATION OF REQUIREMENTS FOR

PUBLIC ROMANIAN ROADS USAGE

Loredana Chiva and George Suciu

Abstract—The increasing number of cars brings upon itself the need of rapidly

check the lawfulness of the drivers. When travelling, there are several legal

obligations a driver have to fulfill according to the law. In Romania, the

authorities enforce the presence of legal documents such vignette, RCA (civil

liability) and PTI/ITP (periodical technical inspection) when being subject to a

routine control. This article aims to present a solution to ease the process of

verification through a software solution which identifies the number-plate and

then verifies in a unified database the availability of the above-mentioned legal

documents. This solution is implemented in Matlab, using correlation factor

between the identified number-plate and a set of characters (the alphabet) to

determine the letters from the plate number. The program is connected to a

database in which are saved the details (vignette, RCA, PTI) of the identified

number, this being used by the authorities to verify the validity of the drivers’

documents.

Keywords—number-plate recognition, computer vision, image processing,

vignette, RCA, PTI, database

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 176





MODELLING AND SIMULATION OF A

SINGLE PHASE STANDALONE PV SYSTEM


Abstract—In this paper it was aimed to study a two-stage converter and inverter

for single-phase standalone PV systems for water pumping applications. A

DC/DC boost converter has been used to increase the PV array voltage to that of

the dc link of the DC/AC inverter feeding the single phase induction motor. An

incremental conductance algorithm has been used to control the boost converter

to extract the maximum power from the PV panel. The elements of the single

phase standalone PV system were given in detail. Various characteristics of PV

array have been shown for different parameters. The structure of the boost

converter and single phase inverter were presented. Finally, the modelled single

phase standalone PV system has been simulated with various irradiation and

temperature values. The simulation results were presented.

Keywords—oost converter, photovoltaic, incremental conductance, maximum

power point, single phase inverter

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 177





FUZZY SLIDING MODE HYBRID CONTROL

MPPT STRATEGY AND PI CONTROL AS A

CONTROLLER FOR A BATTERY

INTEGRATED WITH PV SYSTEM

Saloua Marhraoui

Abstract—This paper puts forward a new strategy to measure the Maximum

Power Point Tracking (MPPT) of the photovoltaic (PV) systems. A sliding mode

control based on the fuzzy logic controller (fuzzy-sliding mode) is implemented to

a DC/DC boost converter in order to make the PV system more efficient and

worked at the higher performance via determined an MPPT of PV. The Fuzzy-

Sliding Mode control (FSMC) designed to offer robustness, rapid and accurate

convergence to the Maximum Power Point (MPP). A Fuzzy Logic Controller

(FLC) provided, firstly, the reference voltage, and secondly, the sliding mode

control (SMC) realized the stability of the PV system. Moreover, the PI control

which manipulated the buck converter to operate as a charge controller, to charge

the battery fast. PI control is sophisticated as a simple technique; it comes up with

great results. This system was designed and explained in MATLAB/ Simulink.

Keywords—Photovoltaic Panel, Fuzzy-Sliding mode, Lyapunov, MPPT, PI

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 178





THE PSO BASED GLOBAL MAXIMUM POWER

POINT TRACKER

Onur Kırcıoğlu, Murat Ünlü and Sabri Çamur

Abstract—The power produced by photovoltaic (PV) module is directly

dependent on solar irradiance. The partial shading occurs when PV modules in

the PV array have different solar irradiance levels. This can significantly reduce

the output power of the PV array. Many maximum power point tracking methods

have been proposed with the aim of extracting maximum power from PV systems.

In recent years, a wide variety of optimization methods have become popular than

conventional methods for performing MPPT. In recent years, wide varieties of

optimization methods have become more popular than the conventional methods,

particularly in order to achieve global maximum power point (GMPPT). The

Particle swarm optimization (PSO) evolutionary technique is a proper

optimization method for GMPPT. This paper proposes a modified PSO based

algorithm for GMPPT. The model of proposed system is built in PSIM and

experimental setup is developed to confirm the effectiveness of the proposed

system. The obtained simulation and experimental results show that the proposed

algorithm can track accurately the global maximum power point of the PV

system. It has high MPPT efficiency and low steady-state oscillations, and

particularly shows good performance under non-uniform irradiation conditions.

Keywords—Particle Swarm Optimization (PSO), Global maximum power point

(GMPP), Non-uniform irradiation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 179





AN IMPROVED MODEL DIRECT POWER AND

TORQUE CONTROL OF PWM RECTIFIER-

INVERTER FED INDUCTION MOTOR DRIVE

Mustapha Jamma, Abderrahim Bennassar, Mohammed Akherraz and

Mihai Oproescu

Abstract—This paper investigates the three-phase pulse with modulation

(PWM) rectifier-inverter system based on direct power and torque control

strategy with dynamic performance improvement of DC-link voltage using fuzzy

logic (FL) technique as well as the estimation of the rotor speed by an extended

Kalman filter (EKF) method. Since, rejection of impact of induction motor (IM)

disturbance, control of DC-link voltage and unity power factor achievement with

least harmonics may not be easily handled by proportional-integral (PI)

regulators which are mainly designed for limited control bandwidth. In order to

mitigate these drawbacks, a fuzzy logic controller has been proposed. The

reference value of active power is defined by both output power feed-forward

from inverter side to rectifier side and the reference active power in the rectifier

side. Effectiveness of the control algorithm is examined through several

simulation tests using MATLAB/Simulink environment. As a result, good

performances in steady and transient-state are achieved by the proposed control

strategies for PWM rectifier-inverter system.

Keywords—PWM rectifier-inverter system, fuzzy logic approach, extended

Kalman filter, direct power control, direct torque control, DC-link voltage control,

induction motor

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 180





CAPACITOR BANKS PLACEMENT

OPTIMIZATION IMPROVEMENT USING THE

SPERM WHALE ALGORITHM

Ovidiu Ivanov, Bogdan Constantin Neagu, Gheorghe Grigoras and

Mihai Gavrilas

Abstract—The operating conditions in electricity distribution networks become

more complex, as the changes in consumption patterns and the extension of retail

electricity markets change the traditional demand patterns. As the industrial

platforms near cities reduce their activity and the number of residential

customers grows, there is an increasing need for voltage compensation and loss

management in highly loaded MV and LV distribution networks supplying large

residential communities. VAR compensation using capacitor banks remains a

cost-effective solution for this problem. This paper presents an improved method

for loss reduction in MV distribution networks, using an optimal placement of

capacitor banks, with a recently proposed metaheuristic, the Sperm Whale

Algorithm

Keywords—VAR compensation, capacitor banks, Sperm Whale Algorithm, loss

reduction

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 181





SMART ENERGY GRIDS USED IN

IRRIGATION SYSTEMS USING THE

BLOCKCHAIN APPLICATIONS

Florentina Magda Enescu, Nicu Bizon and Cosmin Stirbu

Abstract—Blockchain technology has a real disruptive potential for a wide

range of industries. But not every industry is likely to be remodeled by the

blockchain.

In the case of irrigation systems, the current technological opportunities as well

as the challenges with which the final customer is confronted and how a new

decentralized architecture could create are valuable to him.

Such a system faces a high energy consumption in the drought-prone months.

In this paper we propose a study on the possibility of using photovoltaic energy

to feed a long abandoned land improvement system that is in an unusable state at

this time. However, this system can be very effective for small producers in the

area who are unable to use an irrigation system in the summer dry months.

The proposed method would attract a large number of small producers by

creating associations that by appropriate management can bring a surplus value

and the investment could be depreciated in a relatively short time.

Keywords—agriculture, association, blockchain, citect SCADA, irrigation system,

photovoltaic panels, photovoltaic park energy balance, microgrid

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 182





USE OF BLOCKCHAIN TECHNOLOGY IN

IRRIGATION SYSTEMS OF SMALL

FARMERS' ASSOCIATION

Florentina Magda Enescu, Nicu Bizon and Valeriu Manuel Ionescu

Abstract—Traditionally, the energy industry has been slow in adopting new

technologies and the transition to a new energy market will require a new

approach by all parties involved in the energy market. Although it is a hard-to-

accept scenario, especially by the big players on the power market, the pilot

projects so far demonstrate that blockchain can play a major role in the future

energy market, even if the technology is still immature from the conceptual point

of view.

This article attempts to bring solutions to support small farmers in allowing

them to use irrigation systems. It proposes to create associations of small farmers

to manage this situation. For this purpose, it is proposed to use green energy using

photovoltaic panels. The efficiency of the proposed system will be monitored not

only by the location and type of photovoltaic panels, but also by using the new

blockchain technology that stimulates innovation and growth in the energy,

climate and environment sectors.

To accelerate the transition to the green energy economy, a SolarCoin version

similar to the Bitcoin cryptomonade is also proposed.

Keywords—irrigation system, floating photovoltaic panels, SCADA, blockchain of

the association, green energy, SolarCoin

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 183





A SIMPLE METHOD OF MODELING THE PV

CELL FROM A SINGLE CURRENT-VOLTAGE

CURVE

Marian Raducu

Abstract—In this paper is presented a simple method to extract the parameters

of a photovoltaic (PV) cell model using a simple current-voltage curve. The

experimental results for current-voltage curve are obtained from the constant

illumination level of the PV cell. The using model of PV cell is the single-diode

model and contained five parameters: Iph – the current generated by light in PV

cell, I0 – the dark saturation current of the diode, n – the ideality factor of the

diode, Rs – the series resistance, and Rsh – the shunt resistance. The proposed

method has been applied for a monocrystalline Si 6 inch PV cell. In order to

validate the proposed models, the parameters were used in the Spice simulation.

Keywords—PV cell model, single-diode model, Spice simulation

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 184





FEASIBILITY OF A MICRO GRID SCALE UP

AT CAMPUS LEVEL - CASE STUDY

Dorin Let, Bogdan Ionuț Tene, Adela-Gabriela Husu, Mihail-Florin

Stan, Laurentiu Marian Stancu and Andreea Let

Abstract—This paper presents an applicative study designed to analyze PV

power system energy installed at the UVT Campus' energy autonomy. The case

study, analyzes the results obtained from the operation of the pilot building of the

Institute of Multidisciplinary Research for Science and Technology (ICSTM).

This building was designed and built according to worldwide directions in the

areas of Near Zero Energy Building (nZeb) and buildings with scientific research

laboratories specifics. The particular / specific problem, both at the constructive

and installations levels, of great complexity, had been assessed and dimensioned

at the level of energy balance with energy input obtained through Building

Integrated Photovoltaic’s (BIPV) technologies. The experimental results obtained

demonstrate the achievement of very high levels of efficiency and economy in 2017

compared to the previous baseline year. Therefore, by consuming more efficiently

and improving the PV absorption efficiency, savings of ~ 7800 Eur / 33% less

energy absorbed from the national network (SEN) were achieved.

Keywords—automatic control, centralized control, distributed power generation,

energy efficiency, photovoltaic systems

978-1-7281-1624-2/19/$31.00 ©2019 IEEE 185

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