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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)
1
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
2
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)
3
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)
4
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)
5
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.
6
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'.
7
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.
8
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
9
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
10
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
11
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
12
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
13
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
14
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
15
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)
16
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)
17
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
18
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)
19
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)
20
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: [email protected]
www.kbigdata.or.kr
mailto:[email protected]://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: [email protected]: www.kbigdata.or.kr
1. 5TH BIGDAS PROGRAM COVER PAGE SELECTED[BIGDAS2019] Tentative Program V.65. 5TH BIGDAS Program LAST PAGE