The 8th International Conference on

BIG DATA APPLICATIONS AND

ISSN 2466-135XVol.8, No.1

Hosted byKorea Big Data Service Society

November 26-28, 2020Busan, South Korea

SERVICES (BIGDAS2020)

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Table of Contents Welcome Message From Organizing Committee .................................. 2 Organizing Committee ............................................................ 3 Keynote Speech .................................................................. 5 BIGDAS2020 - Program at Glance ................................................ 7 BIGDAS2020 - Program Details ................................................... 9 Presentation Guidelines .......................................................... 15 Conference Venue ............................................................... 16 Organizers ....................................................................... 19 Sponsors ........................................................................ 20

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Welcome Message from Organizing Committee

It is a great pleasure to invite you to the 8th International Conference on Big Data Applications and

Services (BIGDAS2020), which will be held in Busan, South Korea on November 26-28, 2020. The

BIGDAS2020 is hosted by Korea Big Data Service Society.

The main topic of the BIGDAS2020 is “Power to change the world, Big Data.” The Big Data has become

a core technology to provide innovative solutions in many fields such as healthcare, manufacturing,

social life, etc. Our conference aims to present the innovative results, encourage academic and

industrial interaction, and promote collaborative research in Big Data and digital information

management worldwide. We expect that publications of our conference will be a cornerstone for the

further related research and technology improvements in the field of Big Data.

For the BIGDAS2020, we accepted many high-quality papers which will be presented in oral and poster

sessions. The organizing committee has prepared six technical sessions. The topics of technical

sessions are Big Data Algorithms, Image Processing and Big Data, Computer Vision and Big Data, Big

Data in Applications, Big Data Processing in Distributed Environments and Big Data Platform Services.

Besides, six workshops will be co-located with BIGDAS2020: Public Data in the Consumer Sector,

TEMS-NFM2020, Telecommunication Big Data Platform, Data generation of life safety and big data

analysis, BDCSM2020 and AgriBigData-2020. We hope you will find the results presented during the

conference useful and inspiring for your future research.

We want to express our sincere thanks to invited speakers, organizing committee, and authors for their

valuable contributions to the conference.

November 26-28, 2020

Steering Committee

Wan-Sup Cho (Chungbuk National University, Korea)

General Co-Chairs

Sang-Hyun Choi (Chungbuk National University, Korea)

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Organizing Committee

Honorary Chairs

Joo-Yeoun Lee (Ajou University, Korea)

Steering Committee

Wan-Sup Cho (Chungbuk National University, Korea)

General Co-Chairs

Sang-Hyun Choi (Chungbuk National University, Korea)

Program Co-Chairs

Wookey Lee (Inha University, Korea)

Carson K. Leung (University of Manitoba, Canada)

Organizing Co-Chairs

Kwan-Hee Yoo (Chungbuk National University, Korea)

Yoo-Sung Kim (Inha University, Korea)

Publicity Co-Chairs

JungHwan Lee (Chungbuk National University, Korea)

Seon-Phill Jeong (United International Collge, China)

Industry Co-Chairs

Tae-Sung Kim (Chungbuk National University, Korea)

Seo-Young Noh (Chungbuk National University, Korea)

Industry Liaison Co-Chairs

Duck-Keun Park(Wizcore)

Jung-Tae Kang(YURA, Korea)

Sang-Hyun Lee (YURA, Korea)

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Demo/Poster Co-Chairs

Su-Young Chi (Electronics and Telecommunications Research Institute, Korea)

Young-Koo Lee (Kyung Hee University, Korea)

Registration Co-Chairs

Nak-hoon Baek (Kyungpook National University, Korea)

Young-Ho Park (Sookmyung Women's University, Korea)

Web Co-Chairs

Aziz Nasridinov (Chungbuk National University, Korea)

Sarvar Abdullaev (Inha University in Tashkent, Uzbekistan)

Sun-Young Ihm (Sookmyung Women's University, Korea)

Local Arrangement Co-Chairs

Yong-Bong Kim (Pukyong National University)

International Advisors

Tae-Kyung Kim (Korea Software HRD, Cambodia)

Azizbek Marakhimov (Inha University in Tashkent, Uzbekistan)

Fei Hao (Shaanxi Normal University, China)

Sponsor Co-Chairs

Sung-joon Yoo (Sejong University, Korea)

Hyung-jeong Yang (Chonnam National University)

Namje Park (Jeju National University, Korea)

Special Session Co-Chairs

Eun-mi Choi (Kookmin University, Korea)

Takeshi Kurata (AIST, Japan)

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Keynote Speech

Development of Public-Data Based Local-Issues-Solutions Using Big

Data Analysis Technology

Kiseok Choi

Convergence Research Center for Data Driven Solutions, Korea Institute of

Science &Technology Information

Biography

Gi-seok Choi is currently working as a unit leader of the DDS Convergence business unit of Korea

Institute of Science and Technology Information (KISTI). He earned Master’s degree of Computer

Science from Korea Advanced Institute of Science and Technology (KAIST) and PhD degree of

Computer Science at Chungnam National University. Over 15 years in KISTI, he has been serving an

important role in multiple departments and teams such as ‘National R&D System Development office’,

‘Task Management Development Team’, ‘Application system development team’, ‘R&D performance

information team’, ‘R&D system development office’ and ‘NTIS Center’. In term of researches and

publications, he has involved in various researches. In 2002, he took part in the project of “Development

of Information Service Technology”. He also took part in “Linkage Strategy between National R&D

Programs and Standardization” in 2005, “Developing Integrated Research Result Information System

for Korea Research Council” in 2007, “Establish a foundation for joint use of national RnD reports” in

2010, “A Study of Plagiarism Prevention System” in 2010, “2010 NTIS national RND performance

information system establishment” in 2010, “Development of a Prototype System for Plagiarism

Detection on Academic Papers” in 2011, “NTIS service system establishment and operation” in 2012,

“Development of unimplemented tasks for the project to establish a foundation for the national policy

research portal” in 2012-2013. Currently he is leading the “Development and commercialization of local

pending solutions based on public data using AI technology” project which supported by National

Research Council of Science and Technology (NST).

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Keynote Speech

Real Time Risk Assessment for COVID-19 using crowd analytics and

big data

Erel Rosenberg

Data Fusion Research Center, Singapore

Biography

Erel Rosenberg is the managing director of DFRC Group (www.dfrc.sg). He has over 30 years of

experience in managing the development of complex and large-scale systems focusing on data fusion,

geospatial data analysis and machine-learning. He holds a B.A. in Economics and a Master's degree

in Computer Science. Prior to his position at DFRC, Erel managed during nearly 20 years Correlation

Systems Ltd., an Israeli research and development company specialized in Behavior Analysis, Data

Mining, Data Fusion, Grid computing and a range of systems implementing C4iSTAR methodologies.

As Correlation Systems’ CTO, he successfully sold the company’s product line to a leading Aerospace

company. Erel Rosenberg is since 2009 the Managing Director of DFRC Group, a global start-up

company operated from Singapore, Switzerland and Korea, with sales offices in Rome, Barcelona,

Lisbon, Melbourne and Liverpool. DFRC Group is specialized in geospatial data fusion and analysis,

DFRC delivers powerful end-to-end solutions based on meaningful information about location,

movement and flow of people and objects through unique monitoring tools such as its patented

LBASense mobile phone detecting sensors, software platforms and mobile applications. By passively

detecting people’s flows through anonymous mobile phone signal analysis, DFRC provides relevant

Crowd Analytics to retail owners, event organizers, municipalities and Smart Cities.

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BIGDAS2020 - Program at Glance

Conference Dates: November 26-28, 2020

Conference Location: Shilla Stay Haeundae, Busan, South Korea

Date Schedule

November 26

(Thursday)

Registration

(09:00 – 18:00)

Shilla Stay Haendae

Opening Ceremony and Keynote Speech I

(13:00 – 13:50)

Ball Room I

Coffee Break

(13:50 – 14:00)

Convention Hall

Workshop:

Telecommunication

Big Data Platform

(14:00 – 17:50)

Ball Room II

Workshop:

Public Data in the

Consumer Sector

(14:00 – 15:50)

Board Room

Workshop:

TEMS-NFM2020

(14:00 – 15:50)

Ball Room I

Session A1:

Big Data Processing in

Distributed

Environments

(16:00 – 17:50)

Board Room

Session A2:

Big Data Platform

Service

(16:00 – 17:50)

Ball Room I

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November 27

(Friday)

Registration

(09:00 – 18:00)

Shilla Stay Haendae

Session A3:

Image Processing and Big Data

(9:00 – 10:20)

Ball Room I

Workshop:

Data generation of life safety and

big data analysis

(9:00 – 11:50)

Ball Room II

Session A4:

Computer Vision and Big Data

(10:30 – 11:50)

Ball Room I

Lunch

(12:00 – 13:00)

Shilla Stay Haeundae

Keynote Speech II

(13:00 – 13:50)

Ball Room I

Coffee Break

(13:50 – 14:00)

Convention Hall

Session A5:

Big Data Algorithms

(14:00 – 15:50)

Ball Room I

Workshop:

BDCSM2020

(14:00 – 15:50)

Ball Room II

Session A6:

Big Data Applications

(16:00 – 17:50)

Ball Room I

Workshop:

AgriBigData-2020

(16:00 – 17:50)

Ball Room II

November 28

(Saturday)

Meeting of Executive Committee, Review and Discussions of BIGDAS2020

(09:00 – 12:00)

Shilla Stay Haendae

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BIGDAS2020 - Program Details

November 26, 2020 (Thursday)

09:00 – 18:00 Registration

13:00 – 13:50 Opening Ceremony and Keynote Speech I

Ball Room I Chair: Jin Young Choi (Ajou University, Korea)

1. Welcome Speech I

Wan Sup Cho (President of Korea Big Data Services Society, South Korea)

2. Development of Public-Data Based Local-Issues-Solutions Using Big Data Analysis Technology

Kiseok Choi (Convergence Research Center for Data Driven Solutions, Korea Institute of Science &Technology Information)

13:50 – 14:00 Coffee Break

14:00 – 15:50 Workshop: Public Data in the Consumer Sector

Board Room Chair: JungHwan Lee (Chungbuk National University, Korea)

1. Data visualization to improve protection areas for elderly

Daniel Jang (Chungbuk National University, South Korea), Junho Kang (Chungbuk National University, South Korea), Soyeon Kim (Chungbuk National University, South Korea)

2. Positive and Negative Effects of SNS Market Group Purchasing

Seung Ju Gil (Chungbuk National University, South Korea), Mi Gyeong Yoon (Chungbuk National University, South Korea), You Jin Shin (Chungbuk National University, South Korea), Su Hyun Jang (Chungbuk National University, South Korea)

3. Utilizing Mobile Application for Practicing Healthy Dietary Life: Based on Diseases and Food Databases

Gayeon Kim (Chungbuk National University, South Korea), ChaeYun Ryu (Chungbuk National University, South Korea), JaeEun Won (Chungbuk National University, South Korea)

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14:00 – 15:50 Workshop: Total Energy Management System in Non-Ferrous Metal Industry (TEMS-NFM2020)

Ball Room I Chair: Kwan-Hee Yoo (Chungbuk National University, South Korea)

1. Application of Optimal Process Prediction Method for Non-ferrous Metal Operation

Ga-Ae Ryu (Chungbuk National University, South Korea), Hyoseok Oh (Chungbuk National University, South Korea), Kwan-Hee Yoo (Chungbuk National University, South Korea)

2. Anomaly detection of time series data in the cloud with Azure cognitive services

Manas Bazarbaev (Chungbuk National University, South Korea), Hyoseok Oh (Chungbuk National University, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea), Kwan-Hee Yoo (Chungbuk National University, South Korea)

14:00 – 17:50 Workshop: Telecommunication Big Data Platform

Ball Room II Chair: Sang-Hyun Choi (Chungbuk National University, South Korea)

16:00 – 17:50 Session A1: Big Data Processing in Distributed Environments

Board Room Chair: Youngseok Ock (Pukyong National University, South Korea)

1. A Generic Programming Approach to Execute NNEF Files in a Massively Parallel Way

Nakhoon Baek (Kyungbook National University, South Korea)

2. Benchmarking on Distributed File Systems for Scientific Big Data Processing

Junyeong Lee (Chungbuk National University, South Korea), Moonhyun Kim (Chungbuk National University, South Korea), Seo-Young Noh (Chungbuk National University, South Korea)

3. A Study on the GSDC-LDG System for Efficient Resource Utilization

Sangwook Bae (KISTI, South Korea), Geonmo Ryu (KISTI, South Korea), Byungyun Kong (KISTI, South Korea), Heejun Yoon (KISTI, South Korea)

16:00 – 17:50 Session A2: Big Data Platform Service

Ball Room I Chair: Kwan Hee Han (Gyeongsang National University, South Korea)

1. JEJU TOUR Big Data collection and use for individual customized innovative service

Joo-Kyung Kang (NEXTEZ. Co.Ltd. South Korea)

2. Preprocessing and Prediction of construction cost based on construction data

Kim Donggyu (KGU-KT Big Data Center, South Korea)

3. BigData Small Business

Jeong Weon Seok (Korea Federation of Micro Enterprise (KFME), South Korea)

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November 27, 2020 (Friday)

09:00 – 18:00 Registration

9:00 – 10:20 Session A3: Image Processing and Big Data

Ball Room I Chair: Nak-hoon Baek (Kyungpook National University, Korea)

1. Improving Object Detection in Noisy Images with Stylized Dataset

Kyu-hong Hwang (Konkuk University, South Korea), Myung-jae Lee (Konkuk University, South Korea), Young-guk Ha (Konkuk University, South Korea)

2. Mark Detection of Various Size Using YOLO

Gijin Hong (Pukyong National University, South Korea), YoungBong Kim (Pukyong National University, South Korea)

3. Image Classification for Agricultural Products using Transfer Learning

Borin Min (Chungbuk National University, South Korea), Hyoseok Oh (Chungbuk National University, South Korea), Ga-Ae Ryu (Chungbuk National University, South Korea), Sang Hyun Choi (Chungbuk National University, South Korea), Carson Kai-Sang Leung (University of Manitoba, South Korea), Kwan-Hee Yoo (Chungbuk National University, South Korea)

10:30 – 11:50 Session A4: Computer Vision and Big Data

Ball Room I Chair: Young-Ho Park (Sookmyung Women’s University, South Korea)

1. A Proposal for Saying CCTV Technology for Effective Video Management

Eunji Lee (Sookmyung Women’s University, South Korea), So-Hyun Park (Sookmyung Women’s University, South Korea), Young-Ho Park (Sookmyung Women’s University, South Korea)

2. Classification of Moving Patterns in Crowd

Uju Gim (Chungbuk National University, Korea), Jaeyoung Lee (Inha University, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea), Yoo-Sung Kim (Inha University, South Korea)

3. A Survey on Voice Identification of Singers using Deep Learning

So-Hyun Park Lee (Sookmyung Women’s University, South Korea), Young-Ho (Sookmyung Women’s University, South Korea)

9:00 – 11:50 Workshop: Data generation of life safety and big data analysis

Ball Room II Chair: Kyekyung Kim (ETRI, Korea)

1. AI safety: fall detection for elderly

Kyuseob Song (KAIST, South Korea)

2. Unobtrusive Monitoring Elderly's Depression

Jinyoung Choi (Chungnam National University, South Korea)

3. Living Safety Service Using IoT for The Elder/Infant

Kicheol Yoo (ABrain co. Ltd, South Korea)

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4. Revised open pose-CAM based infant abnormal behavior recognition

Yejin Lee (UST ETRI, South Korea)

5. Intelligent occupational risk prevention with smartwatch and EasyTrack platform

Youngtae Noh (Inha University, South Korea)

12:00 – 13:00 Lunch

13:00 – 13:50 Keynote Speech II

Ball Room I Chair: Aziz Nasridinov (Chungbuk National University, South Korea)

1. Real Time Risk Assessment for COVID-19 using crowd analytics and big data

Erel Rosenberg (Data Fusion Research Center, Singapore)

13:50 – 14:00 Coffee Break

14:00 – 15:50 Session A5: Big Data Algorithms

Ball Room I Chair: Yoo-Sung Kim (Inha University, South Korea)

1. Toward Performance Improvement of RocksDB by Tuning Parameters

Jiwon Kim (Chungbuk National University, South Korea), Hyeonmyeong Lee (Chungbuk National University, South Korea), Sungmin Jung (Chungbuk National University, South Korea), Heeseung Jo (Chungbuk National University, South Korea)

2. Deriving Software Core Functions by Source Network Structures and Execution Frequency

Sangmoo Huh (Seoul National University of Science and Technology, South Korea), Wooje Kim (Seoul National University of Science and Technology, South Korea)

3. Knowledge Graph-based Matching of Industrial Wastes and Raw Materials for Closed Loop Recycling

Seon Kyu Park (Chungbuk National University, South Korea), Sang Lok Yoo (Chungbuk National University, South Korea), Keon Myung Lee (Chungbuk National University, South Korea)

4. Design and implementation of Group Type Automatic Opening and Closing Shade Screen

Phyoung Jung Kim (Chungbuk Provincial University, South Korea), Sung Woong Hong (Cheongju University, South Korea)

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14:00 – 15:50 Workshop: Big Data for Ceramics and Smart Manufacturing (BDCSM2020)

Ball Room II Chair: Su-Young Chi (ETRI, Korea)

1. Product Quality Prediction by Multivariate Time-series Anomaly Detection

Manas Bazarbaev (Chungbuk National University, South Korea), Hyoseok Oh (Chungbuk National University, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea), Kwan-Hee Yoo (Chungbuk National University, South Korea)

2. IIoT Cloud Platforms Survey – Focused on MindSphere and Predix

Won-jun Lee (ETRI, Korea), Sun-jong Bong (ETRI, Korea), Su-Young Chi (ETRI, Korea)

3. Point-Based Rectangle Clustering with DBSCAN

Tin Hok (Chungbuk National University, South Korea), Dimang Chhol (Chungbuk National University, South Korea), Kwan-Hee Yoo (Chungbuk National University, South Korea)

16:00 – 17:50 Session A6: Big Data Applications

Ball Room I Chair: Yong-Bong Kim (Pukyong National University, South Korea)

1. Case analysis of solar monitoring facility failure

Woo-Suk Choi (Chungbuk National University, South Korea), Dabin Choi (Chungbuk National University, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea), Sang Hyun Choi (Chungbuk National University, South Korea)

2. Data integration model for predicting PM index

Menghok Heak (Chungbuk National University, South Korea), Dorheon Jeong (Chungbuk National University, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea), Sang Hyun Choi (Chungbuk National University, South Korea)

16:00 – 17:50 Workshop: Big Data Challenges and Solutions in Agriculture (AgriBigData-

2020)

Ball Room II Chair: Kwan-Hee Yoo (Chungbuk National University, South Korea)

1. Top-K Keyword Extraction from News Articles: The Case of Pork in South Korea

Yifan Zhu (Chungbuk National University, South Korea), Tserenpurev Chuluunsaikhan (Chungbuk National University, South Korea), Kwanhee Yoo (Chungbuk National University, South Korea), Hyungchul Rah (Chungbuk National University, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea)

2. Impacts of Social Network Activities related to Livestock Infectious Diseases on Pork Prices in South Korea – Cases of Foot and Mouth Disease and African Swine Fever

HyungChul Rah (Chungbuk National University, South Korea), Hyeon-Woong Kim (Chungbuk National University, South Korea), Do-il Yoo (Seoul National University, South Korea), Yongbeen Cho (Rural Development Administration, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea), Kwan-Hee Yoo (Chungbuk National University, South Korea)

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3. Application of prediction Time Series Data based on Event-Based LSTM

Ga-Ae Ryu (Chungbuk National University, South Korea), Hyungchul Rah (Chungbuk National University, South Korea), Aziz Nasridinov (Chungbuk National University, South Korea), Kwan-Hee Yoo (Chungbuk National University, South Korea)

4. Development of Chinese cabbage cultivation strategy using statistical analysis method and machine learning method

Myung Hwan Na (Chonnam National University, South Korea), Wanhyun Cho (Chonnam National University, South Korea), Sooram Kang (Chonnam National University, South Korea)

5. Prediction of fresh raw weight of onion using spatiotemporal autoregressive moving average (STARMA) model

Myung Hwan Na (Chonnam National University, South Korea), Wanhyun Cho (Chonnam National University, South Korea), Yunjeong Kang (Chonnam National University, South Korea)

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Presentation Guidelines

Oral Presentation

We allocate 25 minutes for each presentation: 15 minutes for presentation and 10 minutes for Q/A.

You are requested to make your presentation by Microsoft PowerPoint. A beam projector, a laptop

and laser pointer will be prepared in each session room. Please bring your presentation file on USB.

The OS of the laptop is Windows 10, and MS Office 2016 is available. Connection cables will also

be prepared on site.

The presentations must be delivered in English language.

Poster Presentation

Due to spread of COVID-19, please note that we have no poster session this year. Instead of poster

session, we kindly ask you to send us a 10-minutes long video uploaded to the Youtube by

Wednesday (November 25, 2020 18:00).

Please send the link of your Youtube presentation to: aziz at chungbuk.ac.kr

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Conference Venue

General Information

Venue: Shilla Stay Haeundae

Address: 46 Haeun-daero 570beon-gil, U-dong, Haeundae-gu, Busan

Phone: 051-912-9000

Website: https://www.shillastay.com/haeundae/index.do

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Directions

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Floor Plan

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Organizers

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Sponsors

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Published in South Korea

Korea Big Data Service Society

N13 404-2, Chungbuk National University, Chungdae-ro 1

Seowon-Gu, Cheongju, Chungbuk 28644, Korea

Tel: 043-261-3636 / Fax: 043-266-3637

Email: kbigdataservice@gmail.com

www.kbigdata.or.kr

N13 404-2, Chungbuk University, Chungdae-ro 1Seowon-Gu, Cheongju, Chungbuk 28644, Korea

Tel: 043-261-3636 / Fax: 043-266-3637Email: kbigdataservice@gmail.comHomepage: www.kbigdata.or.kr