The 7th International Conference on

BIG DATA APPLICATIONS AND

ISSN 2466-135XVol.7, No.1

Hosted byKorea Big Data Service Society

August 21-24, 2019Jeju Island, South Korea

SERVICES (BIGDAS2019)

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Table of Contents Welcome Message From Organizing Committee .................................. 2 Organizing Committee ............................................................ 3 Keynote Speech .................................................................. 5 Workshop Information ............................................................. 8 BIGDAS2019 - Program at Glance ............................................... 14 BIGDAS2019 - Program Details .................................................. 16 Presentation Guidelines .......................................................... 27 Conference Venue ............................................................... 28 Organizers and Sponsors ........................................................ 31

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Welcome Message from Organizing Committee

It is a great pleasure to invite you to the 7th International Conference on Big Data Applications and

Services (BIGDAS2019), which will be held in Jeju National University, South Korea on August 21-24,

2019. The BIGDAS2019 is hosted by Korea Big Data Service Society.

The main topic of the BIGDAS2019 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 BIGDAS2019, 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, Big Data Analytics, Big Data Applications, Big Data Visualization,

Big Data in Healthcare and Unstructured Big Data Analytics. Besides, five workshops will be co-located

with BIGDAS2019: Open Fair 2019, AgriBigData-2019, BDCSM2019, SDCNM2019, and TEMS-

NFM2019. 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.

August 21-24, 2019

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)

Avazjon Marakhimov (National University of Uzbekistan, Uzbekistan)

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)

Keun Hyung Kim (Jeju National University, Korea)

Publicity Co-Chairs

JungHwan Lee (Chungbuk National University, Korea)

Seon-Phill Jeong (United International Collge, China)

Wang-Cheol Song (Jeju National University, Korea)

Industry Co-Chairs

Tae-Sung Kim (Chungbuk National University, Korea)

Seo-Young Noh (Chungbuk National University, Korea)

Seong Baeg Kim (Jeju National University, Korea)

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Industry Liaison Co-Chairs

Duck-Keun Park(Wizcore)

Jung-Tae Kang(YURA, Korea)

Sang-Hyun Lee (YURA, Korea)

Demo/Poster Co-Chairs

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

Young-Koo Lee (Kyung Hee University, Korea)

Yung-Cheol Byun (Jeju National University, Korea)

Registration Co-Chairs

Nak-hoon Baek (Kyungpook National University, Korea)

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

Yunjung Lee (Jeju National 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

Eun Jin Eun (Jeju National University, Korea)

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 (Chonnm 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

Data Science for Big Data Applications and Services

Carson Leung

University of Manitoba, Canada

Biography

Carson Leung is currently a Full Professor at the University of Manitoba, Canada. He obtained his

BSc(Hons), MSc and PhD from the University of British Columbia, Canada. He has published more

than 200 papers on the topics of databases, data mining, big data computing, social network analysis,

as well as visual analytics--including papers in ACM Transactions on Database Systems (TODS), Social

Network Analysis and Mining (SNAM), Future Generation Computer Systems (FGCS), Journal of

Organizational Computing and Electronic Commerce (JOCEC), IEEE International Conference on Data

Engineering (ICDE), IEEE International Conference on Data Mining (ICDM), and Pacific-Asia

Conference on Knowledge Discovery and Data Mining (PAKDD). Over the past few years, he has

served as (i) a General Chair of IEEE CBDCom 2016 and IEEE SmartData 2018, (ii) a Program Chair

of IEEE HPCC 2016 and BigDAS 2017, (iii) an organizing committee member of ACM SIGMOD 2008,

IEEE ICDM 2011, IEEE/ACM ASONAM 2014, IEEE BigComp 2017 and ACM CIKM, as well as (iv) a

PC member of numerous international conferences including ACM KDD and ECML/PKDD. He is a

Senior Member of both ACM and IEEE.

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Keynote Speech

Blockchain-based Business Innovation Cases

Yeong-il Seo

Founder of B24ONE/Vice President of Polaris Sharing, Korea

Biography

Yeong-il Seo has more than 24 years of extensive experiences as 'Operator Blockchain network

Engineer and Legacy IP Network Engineer, and also special R&Der in future technology' at KT. As key

accomplishments, he successfully deployed KT NGN, and implemented KT TPS including IPTV over

KT NGN. Also he upgraded KT commercial IP network (KORNET) as Top ISP BB in the world. After

promoted as VP in KT, he has taken charge of Future technology deployment like Blockchain. He was

mainly focusing on 'Future technology R&D of Telco paradigm shift' including 'KT Blockchain infra,

Operator Blockchain Biz innovation, Blockchain FinTech, Blockchain IoE, Blockchain based NG

internet'. After promoted as Senior VP, he was taking charge of the Head of Blockchain Biz Center in

Future Platform Business Group in KT. Now, he is engaging in start-up company as VP of engineering

in Polaris Sharing com and the President of B24ONE (Blockchain Biz Consulting company). He is very

famous as Blockchain technician in Korea, the head of 'IoT Blockchain division in Korea society of

Blockchain', and also the head of 'Policy&System division in Korea Open Blockchain Forum'.

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Keynote Speech

From the Internet of the Things (IoT) to the Internet of the People (IoP)

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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Workshop Information – OPEN FAIR 2019

Workshop: The International Undergraduate Fair on Open Source Software

(OPEN FAIR 2019)

Date: August 23, 2019

Website: https://sites.google.com/view/open-fair-2019/home

Information Open Source Software has become a cornerstone technology of the 4th Industrial

Revolution and a common standard for developing software in various emerging

fields, such as artificial intelligence, big data, IoT, blockchain, web and cloud

computing applications. The aim of OPEN FAIR 2019 is to give a number of selected

undergraduate students the opportunity to present their research and build a network

with other undergraduates and academics from around the world. The OPEN FAIR

2019 also provides an opportunity for undergraduate students to improve creativity,

practical ability, and teamwork by independently designing, developing, and utilizing

Open Source Software. It also helps undergraduate students to enhance foreign

language literacy and global mind through English presentations.

Organizers: - Keon Myung Lee (Chungbuk National University, Korea)

- Eun Jin Eun (Jeju National University, Korea)

https://sites.google.com/view/open-fair-2019/home

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Workshop Information – AgriBigData-2019

Workshop: The International Workshop on Big Data Challenges and Solutions in Agriculture

(AgriBigData-2019)

Date: August 23, 2019

Website: https://sites.google.com/view/bdsaa2019/home

Information Big data has become one of the core technologies to provide innovative applications

in many fields including agriculture. Big Data Science is a comprehensive process

from collecting large big data to analysing the data for meaningful insights for decision

making. Recent advances in big data sciences and its applications have reached to

the point where big data with the help of artificial intelligence technologies can be

used in predicting events in the future. The aim of the 1st International Workshop on

Big Data Science for Agricultural Applications (BDSAA2019) is to present innovative

results, encourage academic and industrial interaction, and promote collaborative

research in big data applications in agricultural field. The BDSAA2019 will be held in

Jeju, South Korea on August 23, 2019 and co-located with BIGDAS 2019. The

workshop is organized by the Korea Big Data Services Society

Organizers: - HyungChul Rah (Chungbuk National University, Korea)

- Myung Hwan Na (Chonnam National University, Korea)

- Aziz Nasridinov (Chungbuk National University, Korea)

https://sites.google.com/view/bdsaa2019/home

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Workshop Information – BDCSM2019

Workshop: The International Workshop on Big Data for Ceramics and Smart Manufacturing

(BDCSM2019)

Date: August 22, 2019

Website: www.sites.google.com/view/bdcsm2019

Information Smart manufacturing is at the core of all present and future industrial innovations.

Connected things produce high quality customized products and provide services, by

using big data analytics which can improve decision making in the value chains of

manufacturing. This is based on the Internet of Things (IoT) and artificial intelligence

(AI), and is widespread in the manufacturing world including the ceramics industry.

Smart manufacturing fundamentally changes the way physical goods are produced

in all industrial sectors. While smart manufacturing presents unprecedented

opportunities for innovating exist industrial processes, interesting research

challenges are conducted to analyze the massive data generated by industrial

machines and smart factories. Novel big data analysis paradigms are needed to

optimize manufacturing processes and allow scalable, real-time communication

among industrial devices to meet the specific needs of different industrial applications.

The aim of the 1st International Workshop on Big Data for Ceramics and Smart

Manufacturing (BDCSM2019) is to bring together researchers from academia and

from industry to meet and exchange ideas on recent research and future directions

for smart manufacturing, focusing on solutions that can improve efficiency,

sustainability of the future industrial processes. The BDCSM2019 solicits

contributions about novel solutions and approaches, experiences and evaluations on

emerging technologies. The BDCSM2019 will be held in Jeju, South Korea on August

22, 2019 and co-located with BigDas 2019. The workshop is organized by the Korea

Big Data Services Society.

Organizers: - Su-Young Chi (ETRI, Korea)

- Kwan-Hee Yoo (Chungbuk National University, Korea)

- Sangil Hyun (KICET, Korea)

http://www.sites.google.com/view/bdcsm2019

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Workshop Information – SDCNM2019

Workshop: The International Workshop on Scientific Data Computing, Networking, and

Management (SDCNM2019)

Date: August 22, 2019

Website: https://sites.google.com/view/sdcnm2019

Information Research paradigm has been rapidly changing to data-driven discovery. Recent

scientific discoveries of century like Higgs boson and gravitational wave are heavily

relying on tremendous scientific data produced by cutting-edge facilities and

collaborative global data handling mechanism including computing, networking and

data management. It is expected that such a trend will be a driving force to advance

science and engineering, later greatly impact on social life, as we have already

experienced through World Wide Web which was originally invented in order to easily

share information in science community. Information and communication technology

has been playing a crucial role in scientific data processing and management. In such

a context, the 2019 workshop on Scientific Data Computing, Networking and

Management (SDCNM2019) will be a bridge between scientific communities and IT

ones collaborating together to find more efficient ways in scientific discoveries.

SDCNM2019 cordially invites you to the workshop which is held in Jeju island in

conjunction with BIGDAS2019.

Organizers: - Seo-Young Noh (Chungbuk National University, Korea)

- Heejun Yoon (Korea Institute of Science and Technology Information, Korea)

https://sites.google.com/view/sdcnm2019

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Workshop Information – TEMS-NFM2019

Workshop: The International Workshop on Total Energy Management System in Non-Ferrous

Metal Industry (TEMS-NFM2019)

Date: August 23, 2019

Website: https://sites.google.com/view/tems-nfm2019

Information Research on big data has been rapidly applying to manufacturing industry. Specially,

big data technology has been playing a crucial role in non-ferrous metal data

processing and management. In such a context, the 2019 workshop on Total Energy

Management System in Non-Ferrous Metal Industry (TEMS-NFM2019) will be a

bridge between non-ferrous metal communities and IT ones collaborating together to

find more efficient ways for energy management in non-ferrous metal industry. TEMS-

NFM2019 cordially invites you to the workshop which is held in Jeju island in

conjunction with BIGDAS2019.

Organizers: - Sang-Hoon Lee (USINGTECH Co., Korea)

- Kwang Roh Park (ETRI, Korea)

- Kwan-Hee Yoo (Chungbuk National University, Korea)

https://sites.google.com/view/tems-nfm2019

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Workshop Information – Public Administration Big Data

Workshop: The Workshop on Public Administration Big Data

Date: August 22-23, 2019

Website: http://www.kbigdata.or.kr/bigdas2019/Public%20Administration%20Big%20Data.pdf

Information In spite of the rapid expansion of the 4th industrial revolution, governments have been

using the Big Data to improve the efficiency of public administration and to secure

national competitiveness. However, Korea has not been able to meet the core

technologies such as big data, artificial intelligence, is losing international

competitiveness. This workshop will be held in Jeju, where big data workers from the

public administration field are participated to establish a network for information

exchange and to stimulate big data. In addition, a workshop related to the blockchain

where academia, industry, government and public institutions experts on the subject of

blockchain technology, called second internet and trust computer, will gather to discuss

public and private business innovations using blockchain technologies.

Organizers: - Wan-Sup Cho (Chungbuk National University, Korea)

http://www.kbigdata.or.kr/bigdas2019/Public%20Administration%20Big%20Data.pdf

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BIGDAS2019 - Program at Glance

Conference Dates: August 21-24, 2019

Conference Location: Ara Convention Hall (Jeju National University), South Korea

Banquet Location: Nanta Hotel

Date Schedule

August 21

(Wednesday)

Jeju National University and BIGDAS cooperation meeting

(13:00 – 18:00)

Jeju National University

August 22

(Thursday)

Registration

(09:00 – 18:00)

Ara Convention Hall

Session A-1: Big Data Algorithms

(09:00 – 10:20)

Seminar Room 1 Workshop: BDCSM2019

(09:00 – 11:50)

Seminar Room 3 Session A-2: Big Data Analytics

(10:30 – 11:50)

Seminar Room 1

Lunch

(12:00 – 13:00)

Jeju National University

Opening Ceremony and Keynote Speech I

(13:00 – 14:50)

Conference Room

Coffee Break

(14:50 – 15:00)

Ara Convention Hall

Session A-3: Big Data Visualization

(15:00 – 16:20)

Seminar Room 1 Workshop: SDCNM2019

(15:00 – 17:50)

Seminar Room 3 Session A-4: Big Data in Healthcare

(16:30 – 17:50)

Seminar Room 1

Banquet

(18:00 – 20:00)

Nanta Hotel

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Date/Location Schedule

August 23

(Friday)

Registration

(09:00 – 18:00)

Ara Convention Hall

Session A-5: Unstructured Big Data

Analytics

(09:00 – 10:20)

Seminar Room 1

Workshop: AgriBigData-2019

(09:00 – 11:50)

Seminar Room 3 Session A-6: Big Data Applications

(10:30 – 11:50)

Seminar Room 1

Lunch

(12:00 – 13:00)

Jeju National University

Keynote Speech II and III

(13:00 – 14:50)

Conference Room

Coffee Break

(14:50 – 15:00)

Ara Convention Hall

Workshop: Open Fair 2019

(15:00 – 17:50)

Seminar Room 1

Workshop: TEMS-NFM2019

(15:00 – 17:50)

Seminar Room 3

Workshop: Public Administration Big Data

(15:00 – 17:50)

Seminar Room 2

Poster P-1: Big Data Models

(15:00 – 16:20)

Ara Convention Hall

Poster P-2: Big Data Applications

(16:30 – 17:50)

Ara Convention Hall

Closing Ceremony

(17:50 – 18:00)

Conference Room

August 24

(Saturday)

Meeting of Executive Committee, Review and Discussions of BIGDAS2019

(09:00 – 12:00)

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BIGDAS2019 - Program Details

August 21, 2019 (Wednesday)

13:00 – 18:00 Jeju National University and BIGDAS cooperation meeting

Chair: Eun Jin Eun (Jeju National University, Korea)

August 22, 2019 (Thursday)

09:00 – 18:00 Registration

09:00 – 10:20 Session A-1: Big Data Algorithms

Room 1 Chair: Nakhoon Baek (Kyungbook National University, South Korea)

1. Improvement of Cross-Modal Retrieval Performance for Visual-Semantic Data Through Adversarial Learning

Sanghyuck Na (Dongguk University, Korea), Daeung Kim (Dongguk University, Korea), Sanghyun Seo (Dongguk University, Korea), Juntae Kim (Dongguk University, Korea)

2. Pipeline Refinement and Performance Analysis for Shading Based Sunlight Amount Analyze System: Fully Parallel Approach with Aid of Modern GPU

Woosuk Shin (Kyungpook National University, Korea), Nakhoon Baek (Kyungpook National University, Korea)

3. Graph Neural Network with Rejection Mechanism

Bencheng Yan (Tsinghua University, China), Chaokun Wang (Tsinghua University, China), Gaoyang Guo (Tsinghua University, China), Jun Chen (Tsinghua University, China)

4. Constructing the RB+-tree on Large Scale Multi-Dimensional Data with Hadoop-MapReduce

Huynh Cong Viet Ngu (Chungbuk National University, Korea), Keon Myung Lee (Chungbuk National University, Korea)

10:30 – 11:50 Session A-2: Big Data Analytics

Room 1 Chair: Seong Joon Yoo (Sejong University, South Korea)

1. An Autocalibration Model of Low-Cost Sensors for Higher Accuracy of Fine Particle Data Analysis

Ah Young Kang (Sejong University, South Korea), Hye Jin Lim (Sejong University, South Korea), Yeong Hyeon Gu (Sejong University, South Korea), Seong Joon Yo (Sejong University, South Korea)

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2. An Effective Scheme for Automatic Adjustment and Update Traffic Signal

Khoa Thi-Minh Tran (Industrial University of Ho Chi Minh City, Vietnam), Pham Dinh-Phuc (Industrial University of Ho Chi Minh City, Vietnam)

3. A platform for exposure assessment survey data

Hye Jin Lim (Sejong University, Korea), Na Ri Park (Sejong University, Korea), Yeong Hyeon Gu (Sejong University, Korea), Seong Joon Yoo (Sejong University, Korea)

09:00 – 11:50 Workshop: BDCSM2019

Room 3 Chair: Suyoung Chi (ETRI, South Korea)

1. Data-Driven Multiplicative Fault Detection Using Hybrid of Multivariate Statistical Techniques

Jungwon Yu (ETRI, Korea), Jinhong Kim (ETRI, Korea), Youngjae Lee (ETRI,

Korea), Soyoung Yang (ETRI, Korea), Kil-Taek Lim (ETRI, Korea)

2. A study of Defect Classification in Ceramic Materials using Deep Learning

Hye-Jin S. Kim (ETRI, Korea), Suyoung Chi (ETRI, Korea)

3. Machine Nonactive State Detection using Statistical Features and K-Nearest Neighbor

Taing Borith (Chungbuk National University, Korea), In Ju (Chungbuk National University, Korea), Aziz Nasridinov (Chungbuk National University, Korea), Kwan Hee Yoo (Chungbuk National University, Korea)

4. Process Quality Estimation using Statistical Process Features

Pheng Tola (Chungbuk National University, Korea), Ga-Ae Ryu (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

5. Data Strategy in Ceramic Science and Industry

Sung Beom Cho (Korea Institute of Ceramic Engineering and Technology, Korea), Sangil Hyun (Korea Institute of Ceramic Engineering and Technology, Korea)

12:00 – 13:00 Lunch

13:00 – 14:50 Opening Ceremony and Keynote Speech I

Conference

Room Chair: Wan Sup Cho (Chungbuk National University, South Korea)

1. Welcoming Speech I

Wan Sup Cho (Chungbuk National University, South Korea)

2. Welcoming Speech II

Myoung Hee Kim (President of National Information Resources Service, Ministry

of the Interior and Safety)

3. Data Science for Big Data Applications and Services

Carson Leung (University of Manitoba, Canada)

14:50 – 15:00 Coffee Break

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15:00 – 16:20 Session A-3: Big Data Visualization

Room 1 Chair: Jin Young Choi (Ajou University, Korea)

1. Outline-dependent Screen-Space Ambient Occlusion

Sukjun Park (Kyungpook National University, Korea), Nakhoon Baek (Kyungpook National University, Korea)

2. A Graphics Pipeline Architecture with OpenCL

Mingyu Kim (Kyungpook National University, Korea), Nakhoon Baek (Kyungpook National University, Korea)

3. Interactive 3D Visualization of Smart Manufacturing Data

Bakhit Sadirbaev (Chungbuk National University, Korea), Rockwon Kim (ETRI, Korea), Aziz Nasridinov (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

4. Full-color Holographic System featuring Compressed Point Cloud Gridding for representation of real 3D objects

Yu Zhao (Yangzhou University, China), Ki-Chul Kwon (Chungbuk National University, Korea), Yan-Ling Piao (Chungbuk National University, Korea), Munkh-Uchral Erdenebat (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea), Nam Kim (Chungbuk National University, Korea)

5. An Emotion Graph Generation for Actor in Movie Using Face Expression Recognitions

Sungho Han (Inha University, Korea), Kyoungsik Hong (Inha University, Korea), Sangwon Lee (Inha University, Korea), Song Kwangho (Inha University, Korea), Yoo-Sung Kim (Inha University, Korea)

6. A fusion architecture of CNN and Bi-directional RNN for Pornographic Video Detection

Song Kwangho (Inha University, Korea), Yoo-Sung Kim (Inha University, Korea)

16:30 – 17:50 Session A-4: Big Data in Healthcare

Room 1 Chair: Hyung-Jeong Yang (Chonnam National University, South Korea)

1. Scalable Data Science and Machine Learning Algorithm for Gene Prediction

Oluwafemi A. Sarumi (The Federal University of Technology - Akure (FUTA), Nigeria), Carson K. Leung (University of Manitoba, Canada)

2. A Study on the Innovative Health Data Management System based on Distributed Ledger

Junho Moon (Soongsil University, Korea), Dongsoo Kim (Soongsil University, Korea)

3. ADeepTool: Application Tool for Alzheimer’s Disease Diagnosis Based on Deep Learning Approach

Ngoc-Huynh Ho (Chonnam National University, Korea), Hyung-Jeong Yang (Chonnam National University, Korea), Ho-Chun Song (Chonnam National University, Korea), Jahae Kim (Chonnam National University, Korea)

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4. Improved U-Net for Lung Tumor Segmentation using Attention mechanism and Tversky loss

Trinh Le Ba Khanh (Chonnam National University, Korea), Do Truong Dong (Chonnam National University, Korea), Hyung-Jeong Yang (Chonnam National University, Korea)

15:00 – 17:50 Workshop: SDCNM2019

Room 3 Chair: Seo-Young Noh (Chungbuk National University, Korea)

1. Scheduling Optimization and Reduce Turnaround Time by Analyzing HPC Job Logs

JunWeon Yoon (KISTI, Korea), TaeYoung Hong (KISTI, Korea)

2. A method to provide homepage-free computing cluster monitoring using Google Sheets

Geonmo Ryu (KISTI, Korea), Byungyun Kong (KISTI, Korea), Heejun Yoon (KISTI, Korea), Seo-Young Noh (Chungbuk National University, Korea)

3. HTCondor Integrated Cluster Efficiency Analysis of Multiple Research Group through User Job History

Byungyun Kong (KISTI, Korea), Sangwook Bae (KISTI, Korea), Heejun Yoon (KISTI, Korea), Seo-Young Noh (Chungbuk National University, Korea)

4. Study of LIGO Tier-2 System with Priorities

Sangwook Bae (KISTI, Korea), Geonmo Ryu (KISTI, Korea), Seo-Young Noh (Chungbuk National University, Korea), Heejun Yoon (KISTI, Korea)

5. Survey on Network Data Transfer Systems and Research Data Move Requirements

Jin Kim (KISTI, Korea), Seo-Young Noh (Chungbuk National University, Korea), Hee Jun Yoon (KISTI, Korea)

6. Analysis of Daily Traffic on Global Science Experimental Data Hub Center in Korea

Jin Kim (KISTI, Korea), Hee Jun Yoon (KISTI, Korea), Jinsoo Park (Yong In University, Korea)

7. An Architecture of Reliable and Inexpensive Disk Storage for Data Archiving

Seung Hee LEE (KISTI, Korea), Duseok Jin (KISTI, Korea), Jeong-Heon Kim (KISTI, Korea), Heejune Han (KISTI, Korea), Seo-Young Noh (Chungbuk National University, Korea)

18:00 – 20:00 Banquet

August 23, 2019 (Friday)

09:00 – 18:00 Registration

09:00 – 10:20 Session A-5: Unstructured Big Data Analytics

Room 1 Chair: Woo-Je Kim (Seoul National Univ. of Science and Technology, South Korea)

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1. Topic analysis of Internet news articles

Kyoung-ae Jang (Seoul National Univ. of Science and Technology, Korea), Misun Park (Seoul National Univ. of Science and Technology, Korea), Woo-Je Kim (Seoul National Univ. of Science and Technology, Korea)

2. Pre-training of Deep Bidirectional Transformer for Text Clustering

Tien Nguyen Anh (Chonnam National University, Korea), Hyung-Jeong Yang (Chonnam National University, Korea)

3. Fake News Detection Framework Using Word Networks and Propagation Patterns of News in Social Media

Jongmo Kim (Sungkyunkwan University, Korea), Hanmin Kim (Sungkyunkwan University, Korea), Jinuk Cho (Sungkyunkwan University, Korea), Mye Sohn (Sungkyunkwan University, Korea)

10:30 – 11:50 Session A-6: Big Data Applications

Room 1 Chair: Keun Hyung Kim (Jeju National University, Korea)

1. A Blood Cold Chain System using Blockchain Technologies

Seungeun Kim (Soongsil University, Korea), Joohyung Kim (Soongsil University, Korea), Dongsoo Kim (Soongsil University, Korea)

2. Fuzzy Logic-based Value of Information Assessment to Support Effective Decision Making in Battlespace

Kunyoung Kim (Sungkyunkwan University, Korea), Mye Sohn (Sungkyunkwan University, Korea), Gyudong Park (Sungkyunkwan University, Korea)

3. Permissioned Blockchain Network and Hyperledger in Manufacturing Industry

Salman Qavi (Stony Brook University, USA), Dilnozkhon Imomalieva (Inha University, Korea), Wookey Lee (Inha University, Korea)

4. Data Visualization for Assessment of Block-Based Programming

Tserenpurev Chuluunsaikhan (Chungbuk National University, Korea), Aziz Nasridinov (Chungbuk National University, Korea), Inseong Jeon (Korea National University of Education, Korea), Ki-Sang Song (Korea National University of Education, Korea)

5. Customer Interest Detection using Surveillance Videos for Marketing

Jae Jun Lee (Chungbuk National University, Korea), U Ju Gim (Chungbuk National University, Korea), Jeong Hun Kim (Chungbuk National University, Korea), Young-Ho Park (Sookmyung Women's University, Korea), Aziz Nasridinov (Chungbuk National University, Korea)

09:00 – 11:50 Workshop: AgriBigData-2019

Room 3 Chair: Myung Hwan Na (Chonnam National University, South Korea)

1. Prediction of the Production Unit and the Cultivated Area of Onion using the Statistical Methods

Yuha Park (Chonnam National University, Korea), Myung Hwan Na (Chonnam National University, Korea), Wanhyun Cho (Chonnam National University, Korea), Min Soo Kim (Chonnam National University, Korea), Inchul Jung (National Institute of Horticultural and Herbal Science, Korea), Yongbeen Cho

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(Rural Development Administration, Korea), Deok Hyun Kim (Jeollanamdo Agricultural extension & Service, Korea)

2. Detection and Identification of Various Insect Pests of Tomato Using Several Deep Learning Algorithms

Wanhyun Cho (Chonnam National University, Korea), Myunghwan Na (Chonnam National University, Korea), Sangkyoon Kim (Mokpo National University, Korea), Hyerim Lee (Rural Development Administration, Korea)

3. Determination of vegetables grade using pattern recognition method and deep learning algorithm

Jun ki Kim (Chonnam National University, Korea), Wanhyun Cho (Chonnam National University, Korea), Myunghwan Na (Chonnam National University, Korea), Sangkyoon Kim (Mokpo National University, Korea), Hye Jin Lee (Rural Development Administration, Korea)

4. Paprika Purchase Prediction by Using Structured and Unstructured Big Data

HyungChul Rah (Chungbuk National University, Korea), Eunhwa Oh (Chungbuk National University, Korea), Wan-Sup Cho (Chungbuk National University, Korea), Aziz Nasridinov (Chungbuk National University, Korea), Kwan Hee Yoo (Chungbuk National University, Korea), Yongbeen Cho (Rural Development Administration, Korea)

5. Application of to prediction agricultural/livestock consumption prices based on LSTM

Ga-Ae Ryu (Chungbuk National University, Korea), Seunghyeon Kang (Chungbuk National University, Korea), Youngbeen Cho (Rural Development Administration, Korea), HyungChul Rah (Chungbuk National University, Korea), Aziz Nasridinov (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

6. Extraction of Impact Factors Related to Onion Disease Using LDA

Jin-Hyun Song (Chungbuk National University, Korea), Tserenpurev Chuluunsaikhan (Chungbuk National University, Korea), Jeong-Hun Kim (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea), Hyung-Chul Rah (Chungbuk National University, Korea), Aziz Nasridinov (Chungbuk National University, Korea)

7. Eco-friendly Irrigation System Using LoRa

Jeongyeon Yu (Chungnam National University, Korea), Jiae Yun (Chungnam National University, Korea), Hyunmuk Kim (Chungnam National University, Korea), Jordan Kramer (Purdue University, USA), Minsun Lee (Chungnam National University, Korea)

12:00 – 13:00 Lunch

13:00 – 14:50 Keynote Speech II and III

Conference

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

1. From the Internet of the Things (IoT) to the Internet of the People (IoP)

Erel Rosenberg (Data Fusion Research Center, Singapore)

2. Blockchain-based Business Innovation Cases

Yeong-il Seo (Founder of B24ONE/Vice President of Polaris Sharing, Korea)

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14:50 – 15:00 Coffee Break

15:00 – 17:50 Workshop: OPEN FAIR 2019

Room 1 Chair: Aziz Nasridinov (Chungbuk National University, Korea)

1. Design and Implementation of Book Sharing System with Open Source Software

Ahyun Cheon (Chungbuk National University, Korea), Eun-Taek Lee (Chungbuk National University, Korea), Jung-Hoon Kim (Chungbuk National University, Korea)

2. Development of Custom Phone Case Shopping Mall Using Web Open Source Software

Changhyun Kim (Chungbuk National University, Korea), Jiyoung Oh (Chungbuk National University, Korea)

3. A Web Open Source Based Health Monitoring System for Controlling Eating Habits

YongGee Kim (Chungbuk National University, Korea), WanSeok Lee (Chungbuk National University, Korea), YeonSu Kang (Chungbuk National University, Korea)

4. Automatic Checking System for Supporting Algorithm Implementation using Open Sources

In Joo (Chungbuk National University, Korea), Seung-Woo Kang (Chungbuk National University, Korea), Jin-Ho Jeon (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

5. Customizable Timetable Generator Using Web Crawler

JiHyun Na (Chungbuk National University, Korea), MoonHyun Kim (Chungbuk National University, Korea), KyeongJun Kim (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

6. Work in Progress: AI World Cup Competition

Donghyeok Lee (Chungnam National University, Korea), Jeongeun Ahn (Chungnam National University, Korea), Choyoung Kim Pusan National University, Korea

7. Design and Implementation of Unmanned Restaurant System using HARMS

Chihyeon Ryu (Chungnam National University, Korea), Seungju Yoo (Chungnam National University, Korea), Dongho Nam (Chungnam National University, Korea), Yunsu Jung (Chungnam National University, Korea), Seungjin Baek (Chungnam National University, Korea), Minsun Lee (Chungnam National University, Korea)

8. Development of a cosmetics component analysis app that enables real-time image recognition

Da-bin Choi (Chungbuk National University, Korea), Mi-seon Kim (Chungbuk National University, Korea), YangMingFei (Chungbuk National University, Korea), Sang-Hyun Choi (Chungbuk National University, Korea)

9. 2017 National Convergence R&D Data Analysis

Tae-hee Lee (Chungbuk National University, Korea), Jang-won Lee (Chungbuk National University, Korea), Ji-ho Choi (Chungbuk National University, Korea), Jun-hwan Lee (Chungbuk National University, Korea)

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10. Suggestion of Marketing direction through analysis of delivery data

Ju-han Oh (Chungbuk National University, Korea), Hyeong-seok Kim (Chungbuk National University, Korea), Seo-yeon Jeong (Chungbuk National University, Korea), Wan-Sup Cho (Chungbuk National University, Korea)

15:00 – 17:50 Workshop: TEMS-NFM2019

Room 3 Chair: Kwan-Hee Yoo (Chungbuk National University, Korea)

1. Outlier Analysis of Nonferrous Data from Smart Manufacturing Plants

Sokchomrern Ean (Chungbuk National University, Korea), Je-Seog Myeong (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

2. Working Pattern Analysis of Nonferrous System Using Statistical Analysis

Sokchomrern Ean (Chungbuk National University, Korea), Je-Seog Myeong (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

3. Visualization of Association Analysis Results in Smart Management Systems

Je-Seog Myeong (Chungbuk National University, Korea), Sokchomrern Ean (Chungbuk National University, Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

4. A study on operation regression model in electric furnace using data of production

Seonjong Bong (ETRI, Korea), Suyoung Chi (ETRI, Korea)

5. Development of Efficiency Improvement of Nonferrous Metal Production Process based on Big Data Analysis

Sang Hoon Lee (USINGTECH, Korea), Kwan Hee Yoo (Chungbuk National University, Korea), Kwang Roh Park (ETRI, Korea)

6. A Study on the Necessity of Thermal Analysis in Mechanical Industry Using Thermal Analysis Simulation Program

Sung Hoon Kim (PASOL,Korea), Sang Hoon Lee (USINGTECH, Korea), Seong Bae Seo (USINGTECH, Korea)

7. Deep Learning for Forecasting Production Quantity of Ferro-alloy in Electric Arc Furnaces (EAF)

Sangwon O (CHONNAM NATIONAL UNIVERSITY, Korea), Young Seog Yoon (ETRI, Korea), Kwangroh Park (ETRI, Korea)

15:00 – 17:50 Workshop: Public Administration Big Data

Room 2 Chair: Wan-Sup Cho (Chungbuk National University, Korea)

1. Forecasting fine dust level based on data driven approach

In Chang Park (Deputy Director, National Information Resources Service, Ministry of the Interior and Safety)

2. Analysis of optimal installation area for new street lights (security lights) for prevention of late night traffic accidents

Ki Bum Park (Deputy Director, Jeju Special Self-Governing Province)

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3. HS Code Network Analysis

Kwan Woo Kim (Assistant Director, Busan Main Customs, Korea Customs Service)

4. Success Case of Improvement in Public Service based on Data Analysis

KiHaing Cho (Director, Busan Metropolitan City)

5. Analysis on the Effects of Facility General Efficiency on Productivity through Non-operating Time Analysis of Small and Medium Manufacturing Processes

Jae Sung Kim (Chungbuk National University, Korea), Jeong Hyun Lee (Chungbuk National University, Korea), Jinmyeong Cho (Chungbuk National University, Korea), Wan Sup Cho (Chungbuk National University, Korea)

6. Impact Analysis of Contract Method on Awarding Price Ratio in Public Bidding

Tae-Hong Choi (Chungbuk National University, Korea), Eun-Seon Choi (Chungbuk National University, Korea), Phyoung-Jung Kim (Chungbuk Provincial University, Korea), Wan-Sup Cho (Chungbuk National University, Korea)

7. A CHAID Analysis of Factors Associated with Adolescents’ Educational Aspirations: Implications for School Curriculum

Jung Park (Chungbuk National University, Korea), Wan-Sup Cho (Chungbuk National University, Korea)

15:00 – 16:20 Poster P-1: Big Data Models

Hall Chair: Yoo-Sung Kim (Inha University, Korea)

1. Enhancement of Geometric One-Class Classifiers

Do Gyun Kim (Ajou University, Korea), Jin Young Choi (Ajou University, Korea)

2. A Data Set Management Approach to Mitigate Data Aging

Tae-Hyung Kim (Samsung Electronics, Korea), Seo-Young Noh (Chungbuk National University, Korea)

3. Program Networks at Run-time for Bulk Data Transfer using AmoebaNe

Syed Asif Raza Shah (National University of Computer and Emerging Sciences, Pakistan), Seo-Young Noh (Chungbuk National University, Korea)

4. Data mining from ship AIS base station database

Sang Lok Yoo (Chungbuk National University, Korea), Keon Myung Lee (Chungbuk National University, Korea)

5. A Relation Analysis Using Sound and Posture for Preventing PRMDs

So-Hyun Park (Sookmyung Women’s University, Korea), Sun-Young Ihm (Sookmyung Women’s University, Korea), Mi-Yeon Kim (Seoyeoung University, Korea), Young-Ho Park (Sookmyung Women’s University, Korea)

6. Multiple Fracture Classification Using Deep Learning

Sang Hyun Lee (Chungbuk National University, Korea), Chan Sik Han (Chungbuk National University, Korea), Seung Myung Choi (Konkuk University Chungju Hospital Orthopedics, Korea), Keon Myung Lee (Chungbuk National University, Korea)

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7. Impact of Image Pre-processing on Feature Correspondences

Muhammad Umer Kakli (Korea University of Science and Technology, Korea), Yongju Cho (Korea University of Science and Technology & ETRI, Korea), Jeongil Seo (ETRI, Korea)

8. Software Component Reuse using Skyline Query

Jong-Hyeok Choi (Chungbuk National University, Korea), Aziz Nasridinov (Chungbuk National University, Korea)

9. A Tensor Visualization Method for Convolutional Neural Network Modeling Support

Ki Sun Park (Chungbuk National University, Korea), Keon Myung Lee (Chungbuk National University, Korea)

10. A Design of Data-based City Policy Knowledge Model

Sun-Young Ihm (Sookmyung Women’s University, Korea), So-Hyun Park (Sookmyung Women’s University, Korea), Young-Ho Park (Sookmyung

Women’s University, Korea)

11. Activity-based Software Maintenance Cost Estimation for Package Software in Korea

Kyoung-ae Jang (Seoul National Univ. of Science and Technology, Korea), Woo-Je Kim (Seoul National Univ. of Science and Technology, Korea)

12. A Novel on Error Correction Model of Electronic Power Big Data based on Missing Value Imputation using MLE

Se-Hoon Jung (University of Yangsan, Korea), Jun-Ho Huh (Catholic University of Pusan, Korea)

13. A Novel on Bicycle Big data Prediction Model Using Public Data and Regression Algorithm

Se-Hoon Jung (University of Yangsan, Korea), Jun-Ho Huh (Catholic University of Pusan, Korea), Chun-Bo Sim (Sunchon National University, Korea)

16:30 – 17:50 Poster P-2: Big Data Applications

Hall Chair: Jeonghwan Lee (Chungbuk National University, Korea)

1. Analysis of zone-based registration with three zones

Hee-Seon Jang (Pyeongtaek University, Korea), Jihee Jung (CAMTIC Advanced Mechatronics Technology Institute, Korea), Jang Hyun Baek (Chonbuk National University, Korea)

2. Performance Analysis of two TAL-based Registration in LTE Network

Jae Joon Suh (Hanbat National University, Korea), Hee-Seon Jang (Pyeongtaek University, Korea), Gwang Jin Han (Chonbuk National University, Korea), Jang Hyun Baek (Chonbuk National University, Korea)

3. Improvement of TAL-based Registration in LTE Networks

Hee-Seon Jang (Pyeongtaek University, Korea), Jang Hyun Baek (Chonbuk National University, Korea)

4. Improved Paging Scheme of Distance-based Registration in Mobile Communication Networks

Gwang Jin Han (Chonbuk National University, Korea), Hee-Seon Jang (Pyeongtaek University, Korea)

5. Improved Spatial Modeling using Path Distance Metric for Urban Traffic

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Prediction

Sung-Soo Kim (ETRI, Chungnam National University, Korea), Okgee Min (Chungnam National University, Korea), Young-Kuk Kim (Chungnam National University, Korea)

6. Analysis and Design of Web Interface in Mobile Web Browser for the Low Vision People

Joo Hyun Park (Sookmyung Women’s University, Korea), Soon-Bum Lim (Sookmyung Women’s University, Korea)

7. Remote controlled of Door-lock System using Arduino Board

Seol So (Sookmyung Women’s University, Korea), Ja-Yeon Jeon (Sookmyung Women’s University, Korea), Soon-Bum Lim (Sookmyung Women’s University, Korea)

8. A Comparative Analysis of Representative Learning Characters for Deep Learning Based Hangul Automatic Generation

Dong-Yeon Park (Sookmyung Women’s University, Korea), Young-Seo Ji (Sookmyung Women’s University, Korea), Soon-Bum Lim (Sookmyung Women’s University, Korea)

9. Air Quality Prediction using Meteorological Data based on Data Mining Model

Menghok Heak (Chungbuk National University,Korea), Sang-Hyun Choi (Chungbuk National University,Korea)

10. Construction of the Database for Providing all Cosmetic Ingredients Safety Information

Jung-hyun Ahn (Chungbuk National University, Korea), Doorheon Jeong (Chungbuk National University, Korea), Menghok Heak (Chungbuk National University, Korea), Sang-Hyun Choi (Chungbuk National University, Korea)

11. Centralized Server-based Light Field Display System Using a Head Tracking Camera

Md. Shahinur Alam (Chungbuk National Univerity, Korea), Ki-Chul Kwon (Chungbuk National Univerity, Korea), Munkh-Uchral Erdenebat (Chungbuk National Univerity, Korea), Yan-Ling Piao (Chungbuk National Univerity, Korea), Nam Kim (Chungbuk National Univerity, Korea)

12. Real-Time Accessibility Evaluation Technique for EPUB Document

Hyeongki Cho (NeoForce Co., Ltd., Korea), Jin-Suk Kim (NeoForce Co., Ltd., Korea), Kwan-Hee Yoo (Chungbuk National University, Korea)

18:00 – 20:00 Closing Ceremony

August 24, 2019 (Saturday)

13:00 – 18:00 Meeting of Executive Committee, Review and Discussions of BIGDAS2019

Chair: Keun Hyung Kim (Jeju National University, Korea)

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Presentation Guidelines

Oral Presentation

We allocate 20 minutes for each presentation: 15 minutes for presentation and 5 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

One presentation can use one board that will be prepared in poster session hall. The board can

hold up to A0-size (1200mm height and 840mm width) poster shown below. We recommend

preparing your posters in A1 size.

Plastic tapes and drawing pins will be provided on-site, if necessary. We kindly remind you that the

poster presentations will be held on August 23 (Friday), 2019.

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Conference Venue

General Information

Venue: Jeju National University (Ara Convention Hall, Building Number 702)

Address: 102 Jejudaehak-ro, Jeju-si, Jeju Special Self-Governing Province, 63243, Republic of Korea

Phone: (+82 64)754-2114, 754-3114

Website: https://www.jejunu.ac.kr/eng/

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Directions

From Jeju International Airport

Bus: Bus No.500 (Towards Jeju National University) Travel time: about 35 min

Taxi: Taxi Travel time: about 20 min

From city

Bus: (Towards Jeju National University) Travel time: about 20 min

Taxi: about 12 min

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Floor Plan

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Organizers and Sponsors

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Published in South Korea

Korea Big Data Service Society

N13 404-2, Chungbuk 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

mailto:kbigdataservice@gmail.comhttp://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

1. 5TH BIGDAS PROGRAM COVER PAGE SELECTED[BIGDAS2019] Tentative Program V.65. 5TH BIGDAS Program LAST PAGE