Keynote Speech

ISSN 2466-135X Vol.7, No.1

The 7th International Conference on

BIG DATA APPLICATIONS AND SERVICES (BIGDAS2019)

August 21-24, 2019 Jeju Island, South Korea

Hosted by Korea Big Data Service Society

Table of Contents

Welcome Message From Organizing Committee ...... 1

BIGDAS2019 Organizing Committee ...... 2

Keynote Speech ...... 5

Workshop Information ...... 6

BIGDAS2019 - Program at Glance ...... 12

BIGDAS2019 - Program Details ...... 14

Presentation Guidelines ...... 21

Conference Venue ...... 22

Organizers and Sponsors ...... 25

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 and 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, Unstructured Big Data Analytics and Blockchain. In addition, 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 would like 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)

BIGDAS2019 – 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)

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)

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)

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.

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)

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)

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)

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)

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)

Workshop Information – Big Data and BlockChain 2019

Workshop: Workshops on Public Administration Big Data, BlockChain and Business Innovations

Date: August 22-23, 2019

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

http://www.kbigdata.or.kr/bigdas2019/BlockChain%20and%20Business%20Innovation.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)

BIGDAS2019 - Program at Glance

Conference Dates: August 21-24, 2019 Conference Location: Ara Convention Hall (Jeju National University), South Korea

Date/Location Schedule

Jeju National University and BIGDAS cooperation meeting August 21 (13:00 – 18:00) (Wednesday) Jeju National University Registration (09:00 – 18:00) Ara Convention Hall Session A-1: Big Data Algorithms (09:00 – 10:20) Workshop: BDCSM2019 Seminar Room 1 (09:00 – 11:50) Session A-2: Big Data Analytics Seminar Room 3 (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) August 22 Conference Room (Thursday) Coffee Break (14:50 – 15:00) Ara Convention Hall Session A-3: Big Data Visualization (15:00 – 16:20) Workshop: SDCNM2019 Seminar Room 1 (15:00 – 17:50) Session A-4: Big Data in Healthcare Seminar Room 3 (16:30 – 17:50) Seminar Room 1 Workshop: Public Administration Big Data, BlockChain and Business Innovation (15:00 – 17:50) Seminar Room 2 Banquet (18:00 – 20:00) Nanta Hotel

Date/Location Schedule

Registration (09:00 – 18:00) Ara Convention Hall Session A-5: Unstructured Big Data Analytics (09:00 – 10:20) Workshop: AgriBigData-2019 Seminar Room 1 (09:00 – 11:50) Session A-6: Blockchain Seminar Room 3 (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 August 23 Coffee Break (Friday) (14:50 – 15:00) Ara Convention Hall Workshop: Open Fair 2019 Workshop: TEMS-NFM2019 (15:00 – 17:50) (15:00 – 17:50) Seminar Room 1 Seminar Room 3 Workshop: Public Administration Big Data, BlockChain and Business Innovation (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 Meeting of Executive Committee, Review and Discussions of BIGDAS2019 (Saturday) (09:00 – 12:00)

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, Daeung Kim, Sanghyun Seo and Juntae Kim 2. Constructing the RB+-tree on Large Scale Multi-dimensional Data with Hadoop-MapReduce Viet-Ngu Huynh-Cong and Keon Myung Lee 3. Pipeline Refinement and Performance Analysis for Shading Based Sunlight Amount Analyze System: Fully Parallel Approach with Aid of Modern GPU Woosuk Shin and Nakhoon Baek 4. Graph Neural Network with Rejection Mechanism Bencheng Yan, Chaokun Wang, Gaoyang Guo and Jun Chen

10:30 – 11:50 Session A-2: Big Data Analytics Room 1 Chair: Seong Joon Yoo (Sejong University, South Korea)

1. An Effective Scheme For Automatic Adjustment and Update Traffic Signal Khoa Thi-Minh Tran and Pham Dinh-Phuc 2. Customer Interest Detection using Surveillance Videos for Marketing Jae Jun Lee, U Ju Gim, Jeong Hun Kim, Young-Ho Park and Aziz Nasridinov 3. An Autocalibration Model of Low-Cost Sensors for Higher Accuracy of Fine Particle Data Analysis Ah Young Kang, Hye Jin Lim, Seong Joon Yoo and Yeong Hyeon Gu 4. Analysis on the effects of facility general efficiency on productivity through non-operating time analysis of small and medium manufacturing processes Jae Sung Kim, Jung Hyun Lee and Jin Myeong Cho

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, Jinhong Kim, Youngjae Lee, Soyoung Yang and Kil-Taek Lim 2. Ceramic Defacts Classification Hye-Jin S. Kim and Suyoung Chi 3. Machine Nonactive State Detection using Statistical Features and K- Nearest Neighbor Borith Taing, Aziz Nasridinov and Kwan Hee Yoo 4. Process Quality Estimation using Statistical Process Features Pheng Tola, Ga Ryu and Kwan-Hee Yoo 5. Data strategy in ceramic science and industry Sung Beom Cho and Sangil Hyun

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 Myung 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

15:00 – 16:20 Session A-3: Big Data Visualization Room 1 Chair: Yoo-Sung Kim (Inha University, Korea)

1. Data Visualization for Assessment of Block-Based Programming Tserenpurev Chuluunsaikhan, Aziz Nasridinov and Ki-Sang Song 2. A Graphics Pipeline Architecture with OpenCL Mingyu Kim and Nakhoon Baek 3. Outline-dependent Screen-Space Ambient Occlusion Sukjun Park and Nakhoon Baek 4. Interactive 3D Visualization of Smart Manufacturing Data

Bakhit Sadirbaev, Rockwon Kim, Aziz Nasridinov and Kwan-Hee Yoo

16:30 – 17:50 Session A-4: Big Data in Healthcare Room 1 Chair: Hyung-Jeong Yang (Chonnam National University, South Korea)

1. Scalable Big Data Machine Learning Algorithm for Gene Prediction Oluwafemi Sarumi and Carson Leung 2. A Study on the Innovative Health Data Management System based on Distributed Ledger Junho Moon and Dongsoo Kim 3. ADeepTool: Application Tool for Alzheimer’s Disease Diagnosis Based on Deep Learning Approach Ngoc-Huynh Ho, Hyungjeong Yang, Ho-Chun Song and Jahae Kim 4. Improved U-Net for Lung Tumor Segmentation using Attention mechanism and Tversky loss Trinh Le Ba Khanh, Dong Do Truong and Hyung-Jeong Yang

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 and Taeyeong Hong 2. A method to provide homepage-free computing cluster monitoring using Google Sheets Geonmo Ryu, Byungyun Kong, Heejun Yoon and Seo-Young Noh 3. HTCondor Integrated Cluster Efficiency Analysis of Multiple Research Group through User Job History Byungyun Kong, Sangwook Bae, Heejun Yoon and Seo-Young Noh 4. Study of LIGO Tier-2 System with Priorities Sangwook Bae, Geonmo Ryu, Heejun Yoon and Seo-Young Noh 5. Survey on Network Data Transfer Systems and Research Data Move Requirements Jin Kim, Seo Young Noh and Hee Jun Yoon 6. Analysis of Daily Traffic on Global Science Experimental Data Hub Center in Korea Jin Kim, Hee Jun Yoon and Jin Soo Park 7. An Architecture of Reliable and Inexpensive Disk Storage for Data Archiving Seung Hee Lee, Duseok Jin, Jeong-Heon Kim, Heejune Han and Seo-Young Noh

15:00 – 17:50 Workshop: Public Administration Big Data, BlockChain and Business Innovation Room 2 Chair: Wan-Sup Cho (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)

1. A Dilated Study on the Recognition of Sign Language using Deep Learning

Hyojoo Shin, Kyoung-Ae Jang and Woo-Je Kim 2. Topic analysis of Internet news articles Kyoung-Ae Jang, Misun Park and Woo-Je Kim 3. Fake News Detection Framework Using Word Networks and Propagation Patterns of News in Social Media Jongmo Kim, Hanmin Kim, Jinuk Cho and Mye Sohn 4. Pre-trained of Deep Bidirectional Transformer for Text Clustering Tien Nguyen Anh and Hyung-Jeong Yang

10:30 – 11:50 Session A-6: Blockchain Room 1 Chair: Wookey Lee (Inha University, South Korea)

1. A Blood Cold Chain System using Blockchain Technologies Seungeun Kim, Joohyung Kim and Dongsoo Kim 2. Permissioned Blockchain Network and Hyperledger in Manufacturing Industry Salman Qavi, Dilnozkhon Imomalieva and Wookey Lee 3. Impact Analysis of Contract Method on Awarding Price Ratio in Public Bidding Tae-Hong Choi, Eun-Seon Choi, Phyoung-Jung Kim and Wan-Sup Cho

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, Myung Hwan Na, Wanhyun Cho, Min Soo Kim, Inchul Jung, Yongbeen Cho and Deok Hyun Kim 2. Detection and Identification of Various Insect Pests of Vegetables Using Deep Learning Algorithm Wanhyun Cho, Myunghwan Na, Sangkyoon Kim and Hyerim Lee

3. Determination of vegetables grade using pattern recognition method and deep learning algorithm Junki Kim, Wanhyun Cho, Myunghwan Na, Sangkyoon Kim and Hyejin Lee 4. Paprika Purchase Prediction By Using Structured and Unstructured Big Data Hyungchul Rah, Eunhwa Oh, Wan-Sup Cho, Kwan Hee Yoo and Yongbeen Cho

5. Application of to prediction agricultural/livestock consumption prices based on LSTM Ga-Ae Ryu, Seunghyeon Kang, Youngbeen Cho, Hyungchul Rah, Aziz Nasridinov and Kwan-Hee Yoo 6. Extraction of Impact Factors Related to Onion Disease Using LDA Song Jin-Hyun, Tserenpurev Chuluunsaikhan, Kim Jeong-Hun, Yoo Kwan-Hee, Rah Hyung-Chul and Aziz Nasridinov 7. Eco-friendly Irrigation System Using LoRa Jeongyeon Yu, Jiae Yun, Hyunmuk Kim, Jordan Kramer and Minsun Lee

12:00 – 13:00 Lunch

13:00 – 14:50 Opening Keynote Speech II and III Conference Room Chair: Sang-Hyun Choi (Chungbuk National University, Korea)

1. Keynote Speech II Tentative Speaker 2. Keynote Speech III Tentative Speaker

14:50 – 15:00 Coffee Break

15:00 – 17:50 Workshop: OPEN FAIR 2019 Room 1 Chair: Aziz Nasridinov (Chungbuk National University, Korea)

1. Work in Progress: AI World Cup Competition Donghyeok Lee, Jeongeun Ahn, Choyoung Kim and Sunmin Lee 2. Design and Implementation of Unmanned Restaurant System using HARMS Chihyeon Ryu, Seungju Yoo, Dongho Nam, Yunsu Jung, Seungjin Baek and Minsun Lee

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 and Kwan-Hee Yoo

2. Working Pattern Analysis of Nonferrous System Using Statistical Analysis Sokchomrern Ean and Kwan-Hee Yoo 3. Visualization of Association Rule Results in Smart Management Syste Je-Seog Myeong, Sokchomrern Ean and Kwan-Hee Yoo 4. A study on operation regression model in electric furnace using data of production Seonjong Bong and Suyoung Chi

15:00 – 17:50 Workshop: Public Administration Big Data, BlockChain and Business Innovation Room 2 Chair: Wan-Sup Cho (Chungbuk National University, Korea)

15:00 – 16:20 Poster P-1: Big Data Models Hall Chair: Jin Young Choi (Ajou University, Korea)

1. A Data Set Management Approach to Mitigate Data Aging Tae-Hyung Kim and Seo-Young Noh 2. Program Networks at Run-time for Bulk Data Transfer using AmoebaNe Syed Asif Raza Shah and Seo-Young Noh 3. Impact of Image Pre-processing on Feature Correspondences Muhammad Umer Kakli, Yongju Cho and Jeongil Seo 4. Enhancement of Geometric One-Class Classifiers Do Gyun Kim and Jin Young Choi 5. Fuzzy Logic-based Value of Information Assessment to Support Effective Decision Making in Battlespace Kunyoung Kim, Mye Sohn and Gyudong Park 6. A Relation Analysis Using Sound and Posture for Preventing PRMDs So-Hyun Park, Mi-Yeon Kim, Sun-Young Ihm, Young-Ho Park 7. Multiple Fracture Classification Using Deep Learning Sanghyun Lee, Chansik Han, Seungmyung Choi and Keonmyung Lee 8. A Tensor Visualization Method for Convolutional Neural Network Modeling Support Ki Sun Park and Keon Myung Lee 9. Data mining from ship AIS base station database Sang Lok Yoo and Keon Myung Lee

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, Jihee Jung and Jang Hyun Baek 2. Performance Analysis of two TAL-based Registration in LTE Network Jae Joon Suh, Hee Seon Jang, Gwang Jin Han and Jang Hyun Baek 3. Improvement of TAL-based Registration in LTE Networks 19

Hee-Seon Jang and Jang Hyun Baek 4. Improved Paging Scheme of Distance-based Registration in Mobile Communication Networks Gwang Jin Han and Hee-Seon Jang 5. Improved Spatial Modeling using Path Distance Metric for Urban Traffic Prediction Sung-Soo Kim, Okgee Min and Young-Kuk Kim 6. Analysis and Design of Web Interface in Mobile Web Browser for the Low Vision People Joo Hyun Park and Soon-Bum Lim 7. Remote controlled of Door-lock System using Arduino Board Seol So, Ja-Yeon Jeon and Soon-Bum Lim 8. A Comparative Analysis of Representative Learning Characters for Deep Learning Based Hangul Automatic Generation Dong-Yeon Park, Young-Seo Ji and Soon-Bum Lim 9. Software Component Reuse using Skyline Query Jong-Hyeok Choi and Aziz Nasridinov

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)

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.

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/

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

Floor Plan

Organizers and Sponsors

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

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] Homepage: www.kbigdata.or.kr