Frontier Computing

1. Front Matter

   Pages i-xxv

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2. Research on Application’s Credibility Test Method and Calculation Method Based on Application Behavior Declaration

   • Xuejun Yu, Ran Xiao

   Pages 1-10

3. The Selection of DNA Aptamers Against the Fc Region of Human IgG

   • Wen-Pin Hu, Hui-Ting Lin, Wen-Yu Su, Rouh-Mei Hu, Wei Yang, Wen-Yih Chen et al.

   Pages 11-19

4. Application of Deep Reinforcement Learning in Beam Offset Calibration of MEBT at C-ADS Injector-II

   • Jinqiang Wang, Xuhui Yang, Binbin Yong , Qingguo Zhou, Yuan He, Lihui Luo et al.

   Pages 20-28

5. Predicting Students’ Academic Performance Using Utility Based Educational Data Mining

   • K. T. S. Kasthuriarachchi, S. R. Liyanage

   Pages 29-39

6. Theme Evolution Analysis of Public Security Events Based on Hierarchical Dirichlet Process

   • Hong Hu, Xiao Wei, Zhanxing Hao

   Pages 40-49

7. Recurrent Neural Networks for Analysis and Automated Air Pollution Forecasting

   • Ching-Fang Lee, Chao-Tung Yang, Endah Kristiani, Yu-Tse Tsan, Wei-Cheng Chan, Chin-Yin Huang

   Pages 50-59

8. A Social Influence Account of Problematic Smartphone Use

   • Chi-Ying Chen, Shao-Liang Chang

   Pages 60-63

9. Simulation Analysis of Information-Based Animal Observation System

   • Lin Hui, Yi-Cheng Chen, Kuei Min Wang, Chiao Ming Peng, Kai-Ze Weng

   Pages 64-73

10. Effect of Fintech on the Cost Malmquist Productivity Index in the China Banking Industry

    • Wei-Liu Liao, Cui-You Yao, Yi-Ping Yang

    Pages 74-88

11. A Graph-Based Approach for Semantic Medical Search

    • Qing Zhao, Yangyang Kang, Jianqiang Li, Dan Wang

    Pages 89-98

12. On Construction of a Power Data Lake Platform Using Spark

    • Tzu-Yang Chen, Chao-Tung Yang, Endah Kristiani, Chun-Tse Cheng

    Pages 99-108

13. Selection Issues of Kernel Function and Its Parameters of Hard Margin Support Vector Machine in a Real-World Handwriting Device

    • Yan Pei, Lei Jing, Jianqiang Li

    Pages 109-117

14. Adaptive Threshold-Based Algorithm for Multi-objective VM Placement in Cloud Data Centers

    • Nithiya Baskaran, R. Eswari

    Pages 118-129

15. Monitoring Bio-Chemical Indicators Using Machine Learning Techniques for an Effective Large for Gestational Age Prediction Model with Reduced Computational Overhead

    • Faheem Akhtar, Jianqiang Li, Yu Guan, Azhar Imran, Muhammad Azeem

    Pages 130-137

16. Hybrid Technology in Video Annotation by Using the APP and Raspberry Pi—Applied in Agricultural Surveillance System

    • Yong-Kok Tan, Lin-Lin Wang, Deng-Yuan Theng

    Pages 138-143

17. Film Classification Using HSV Distribution and Deep Learning Neural Networks

    • Ching-Ta Lu, Jun-Hong Shen, Ling-Ling Wang, Chia-Hua Liu, Chia-Yi Chang, Kun-Fu Tseng

    Pages 144-153

18. Control Strategy-Based Intelligent Planning of Service Composition

    • Yishui Zhu, Lei Tang, Jun Zhang, Zongtao Duan, Hua Jiang

    Pages 154-163

19. IoT Enabled Environmental Monitoring System

    • Leo Willyanto Santoso, Markus Daud Giantara

    Pages 164-173

20. Neighbor Link-Based Spatial Index for k Nearest Neighbor Queries in Wireless Systems

    • Jun-Hong Shen, Ching-Ta Lu, Hong-Ray Chu

    Pages 174-180

This book presents the proceedings of the 6th International Conference on Frontier Computing, held in Kuala Lumpur, Malaysia on July 3–6, 2018, and provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The contributions cover a wide range of topics: database and data mining, networking and communications, web and internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions. The book is a valuable resource for students, researchers and professionals, and also offers a useful reference guide for newcomers to the field.

• Autonomic Computing
• Wearable Computing
• Anticipatory Computing
• Image Processing
• Geographical Information Systems
• Global Navigation Satellite Systems
• Software Design Patterns

• Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

  Jason C. Hung

• School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Japan

  Neil Y. Yen

• Department of Innovative Information and Technology, Tamkang University, Yilan County, Taiwan

  Lin Hui

Dr. Jason C. Hung is an Associate Professor at the Department of Computer Science and Information Engineering at the National Taichung University of Science and Technology, Taiwan, ROC. His research interests include multimedia computing and networking, e-learning, web service and anticipatory computing. He received his B.S., M.S. and Ph.D. degrees in Computer Science and Information Engineering from Tamkang University, in 1996, 1998, and 2001, respectively. Dr. Hung has published over 120 papers and book chapters, and has participated in numerous international academic activities, including the organization of many international conferences. He is the founder of International Conference on Frontier Computing. In 2013, he served as Hon Treasurer of IET Taipei LN. In April 2014, he was elected as a Fellow of the Institution of Engineering and Technology (FIET), and was elected Vice Chair of IET Taipei LN in November of that year. Since June 2015, he has been Editor-in-Chief of the International Journal of Cognitive Performance Support.

 
Dr. Neil Y. Yen is an Associate Professor at the University of Aizu, Japan. He received doctorates in Human Sciences (major in Human Informatics) at Waseda University, Japan, and in Engineering (major in Computer Science) at Tamkang University, Taiwan in March and June 2012 respectively. His doctor degree at Waseda University was funded by the JSPS (Japan Society for the Promotion of Science) under the RONPAKU program. Dr. Yen has been involved in various international activities, including editorial work in journals and books and society services in academic conferences sponsored by IEEE/ACM, etc. He has been engaged in interdisciplinary realms of research, and his current interests are primarily in the field of human-centered computing and big data.
 
Dr. Lin Hui is an Associate Professor at the Department of Innovation Information and Technology at Tamkang Universit, Taiwan, ROC. Lin Hui received her B.S. degree in Mathematics from Tunghai University and her M.S. degree in Mathematics from Fu Jen Catholic University, Taiwan. In 1993, with support from the Chungshan Institute of Science, was a special student in the Department of Computer Science at the University of Wisconsin-Madison, USA. She received her Ph.D. degree in Computer Science and Information Engineering from Tamkang University, Taiwan, in 2006. She is one of Editorial Board Members for the International Journal of Cognitive Performance Support. Dr. Hui has participated in numerous international academic activities, including as a member of the program committee of several international conferences, PAKDD/BigPMA, Umedia, and Frontier Computing.

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