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  • Conference proceedings
  • © 2020

Frontier Computing

Theory, Technologies and Applications (FC 2019)

  • Addresses recent advances in computer science and engineering, highlighting emerging topics in the fields
  • Covers state-of-the-art issues for advanced research and offers reference guidelines for both academia and industry
  • Describes novel theories, methods, and their promising applications that prompt the development of new computing paradigms

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 551)

Conference series link(s): FC: International Conference on Frontier Computing

Conference proceedings info: FC 2019.

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Table of contents (242 papers)

  1. Front Matter

    Pages i-xxiv
  2. A Light CNN Model for Defect Detection of LCD

    • Yue Lu, Ling Ma, Huiqin Jiang
    Pages 10-19
  3. Low Illumination Image Enhancement Based on U-Net

    • Mengxing Li, Suyu Wang
    Pages 20-30
  4. Macrosomia Fetus Prediction with Cluster-Based Feature Selection Scheme

    • Faheem Akhtar, Jianqiang Li, Yan Pei, Shafaq Siraj, Zeeshan Shaukat
    Pages 55-62
  5. Turner Syndrome Prognosis with Facial Features Extraction and Selection Schemes

    • Xiang Gao, Jianqiang Li, Yan Pei, Faheem Akhtar, Qing Wang, Ting Yang et al.
    Pages 72-78
  6. Semi-automated Construction of Air Pollution Domain Ontology

    • Bo Liu, Jiahui Zhang, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang
    Pages 79-86
  7. Research on Taxi Sharing Mode Based on Live Map Matching

    • Xijun Zhang, Qirui Zhang, Lijuan Zhang, Chenhui Wang
    Pages 87-97
  8. An Automatic Turner Syndrome Identification System with Facial Images

    • Guohong Yao, Jianqiang Li, Yan Pei, Faheem Akhtar, Bo Liu
    Pages 105-112
  9. Travel Route Recommendation via Location-Based Social Network and Skyline Query

    • Chih-Kun Ke, Szu-Cheng Lai, Chia-Yu Chen, Li-Te Huang
    Pages 113-121
  10. The Research of Applying Affective Computing Based on Deep Learning for eSports Training

    • Jason C. Hung, Zong-Qi Lin, Chun-Hong Huang, Kuan-Cheng Lin
    Pages 122-129
  11. Enhanced Intelligence Using Collective Data Augmentation for CNN Based Cataract Detection

    • Azhar Imran, Jianqiang Li, Yan Pei, Fawaz Mahiuob Mokbal, Ji-Jiang Yang, Qing Wang
    Pages 148-160
  12. A Deep Learning Method for MRI Brain Tumor Segmentation

    • Jingchao Sun, Jianqiang Li, Qing Wang, Jijiang Yang, Ting Yang, Ke Huang et al.
    Pages 161-169

Other Volumes

  1. Frontier Computing

About this book

This book gathers the proceedings of the 9th International Conference on Frontier Computing, held in Kyushu, Japan on July 9–12, 2019, 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 respective 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, and the book will benefit students, researchers and professionals alike. Further, it offers a useful reference guide for newcomers to the field.

Editors and Affiliations

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

    Jason C. Hung, Jia-Wei Chang

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

    Neil Y. Yen

About the editors

Dr. Jason C. Hung is an Associate Professor of Department of Computer Science and Information Engineering at National Taichung University of Science and Technology, Taiwan, ROC. His research interests include Multimedia Computing and Networking, e- Learning, Web Service and Anticipatory Computing. Dr. Hung received his BS and MS degrees in Computer Science and Information Engineering from Tamkang University, in 1996 and 1998, respectively. He also received his Ph.D. in Computer Science and Information Engineering from Tamkang University in 2001. Dr. Hung has published over 140 papers and book chapters, as well as participated in many 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 of 2014, he was elected as Fellow of the Institution of Engineering and Technology (FIET). He was elected as vice chairof IET Taipei LN in Nov. 2014. From June 2015, He is Editor-in-Chief of International Journal of Cognitive Performance Support.

Dr. Neil Y. Yen is an Associate Professor at the University of Aizu, Japan. Dr. Yen 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 RONPAKU program. Dr. Yen has actively involved himself in the international activities, including editorial works in journals and books, society services in academic conferences sponsored by IEEE/ACM, etc., and devoted himself to discover advanced and interesting research directions. Dr. Yen has been engaged in the interdisciplinary realms of research, and his research interests are now primarily in the scope of human-centered computing and big data.

Dr. Jia-Wei Chang is an Assistant Professor of Department of Computer Science and Information Engineering at National Taichung University of Science and Technology, Taiwan, ROC. During February to July 2018, he was an adjunct assistant professor in Department of Engineering Science at National Cheng Kung University. He was a data scientist and project manager at IoT BU, Nexcom during 2016-2017. He received the Ph.D. degree from Department of Engineering Science, National Cheng Kung University in 2017. His research interests include natural language processing, internet of things, artificial intelligence, data mining, and e-learning technologies.

Bibliographic Information

Buy it now

Buying options

eBook USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access