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Innovative Computing

Proceedings of the 5th International Conference on Innovative Computing (IC 2022)

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Yan Pei

    1. School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Japan

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  2. Jia-Wei Chang

    1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

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  3. Jason C. Hung

    1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

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  • Includes the most advanced studies and novel breakthroughs in frontier computing
  • Demonstrates the progress of the most advanced information technologies
  • Covers the theories and application on cloud computing, information security, big data, and so on

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 935)

Included in the following conference series:

Conference proceedings info: IC 2022.

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Table of contents (177 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. IC

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Deep Learning-Based Approach for Mammographic Architectural Distortion Classification

      • Khalil ur Rehman, Jianqiang Li, Yan Pei, Anaa Yasin, Saqib Ali
      Pages 3-14

    3. Double Upsample Dilated Pyramid Network for Pollen Detection

      • Fengwei Liu, Juan Li, Yan Pei, Fujiao Ju, Jianqiang Li, Caihua Ye
      Pages 15-29

    4. Promoting Foreign Electronic Commerce and Economic Welfare

      • Yoonkyo Cho, Jaewhak Roh
      Pages 30-54

    5. Knowledge Stock, Corporatism, and New Product Development in Open Innovation

      • Yoonkyo Cho
      Pages 55-61

    6. A Feature Fusion-Based Approach for Mammographic Mass Classification Using Deep Learning

      • Khalil ur Rehman, Jianqiang Li, Yan Pei, Anaa Yasin, Saqib Ali, Yousaf Saeed
      Pages 62-73

    7. Recognition of Chinese Medical Named Entity Using Multi-word Segmentation Method

      • Dawei Li, Jianqiang Li, Zhichao Zhu, Yu-Chih Wei, Yan Pei
      Pages 74-85

    8. Chinese Electronic Medical Record Retrieval Method Using Fine-Tuned RoBERTa and Hybrid Features

      • Yang Yu, Jianqiang Li, Zhichao Zhu, Yan Pei, Zhenning Cheng, Ke Zeng et al.
      Pages 86-95

    9. Bronchiectasis Detection and Classification Based on Deep Learning

      • Jingwei Zhang, Qinyan Zhang, Jijiang Yang, Xinshan Lin, Ning Yue, Qing Wang et al.
      Pages 96-105

    10. A Security Distributed Social Media Service Based on IoTA and IPFS

      • Ting-Hong Chu, Jia-Wei Chang
      Pages 106-111

    11. Analysis for Sequential Frame with Facial Emotion Recognition Based on CNN and LSTM

      • Jason C. Hung, Sheng-Len Xu
      Pages 112-122

    12. A Study for Digital Contents Management Based on Smart Home

      • Byeongtae Ahn
      Pages 123-127

    13. A Study of Smart Mart System Based on RFID/WSN

      • Byeongtae Ahn
      Pages 128-129

    14. Patent Litigation Between NPEs and Non-NPEs: Being Trapped or Moving Forward?

      • Yoonkyo Cho
      Pages 130-132

    15. Development of Automatic Voltage Stabilization System for Substation Using Deep Learning

      • Jiyong Moon, Minyeong Son, Byeongchan Oh, Jeongpil Jin, Kwangil Kim, Younsoon Shin
      Pages 133-134

  3. MLFSP20

    1. Front Matter

      Pages 135-135
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    2. Developing an Accessibility Assessment System for Mobile Devices

      • Ting-Fang Wu, Chi-Nung Chu, Hui-Shan Lo
      Pages 137-141

    3. A Mobile Module Design of Rhythm in Music Based on Practicing Strategy

      • Yu Ting Huang, Chi Nung Chu
      Pages 142-146

    4. Artificial Intelligence Identification Model for Chronic Kidney Disease

      • Ya-Fang Cheng, Hsiu-An Lee, Chien-Yeh Hsu
      Pages 147-155
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  1. Innovative Computing

Keywords

About this book

This book comprises select proceedings of the 5th International Conference on Innovative Computing (IC 2022) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.

Editors and Affiliations

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

    Yan Pei

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

    Jia-Wei Chang, Jason C. Hung

About the editors

Dr. Yan Pei obtained Doctor of Engineering at Kyushu University, Fukuoka, Japan. He received the B.Eng. and M.Eng. degrees from Northeastern University, Shenyang, China. He was a software engineer and software projector manager in Chinese and German IT industries for several years before entering academic society. He is currently working at the University of Aizu as an Associate Professor. His research interests include Evolutionary Computation, Machine Learning, and Software Engineering. He serves as chairs and organization committee members in many international conferences sponsored by IEEE, ACM, and other international associations. He is also serves as editor in many international journals. He is a member of IEEE SMC, IEEE CIS and Japanese society for evolutionary computation.

 in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2019, he is a Young Professionals Chair of theInstitution of Engineering and Technology (IET) - Taipei Network. Since 2017, he is a consultant of NEXCOM Industry 4.0 Innovation Center. 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.


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 chair of IET Taipei LN in Nov. 2014. From June 2015, He is Editor-in-Chief of International Journal of Cognitive Performance Support.


Bibliographic Information

  • Book Title: Innovative Computing

  • Book Subtitle: Proceedings of the 5th International Conference on Innovative Computing (IC 2022)

  • Editors: Yan Pei, Jia-Wei Chang, Jason C. Hung

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-19-4132-0

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-19-4131-3Published: 15 October 2022

  • Softcover ISBN: 978-981-19-4134-4Published: 16 October 2023

  • eBook ISBN: 978-981-19-4132-0Published: 14 October 2022

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XXI, 1308

  • Number of Illustrations: 215 b/w illustrations, 223 illustrations in colour

  • Topics: Computer Communication Networks, Cyber-physical systems, IoT, Computational Intelligence

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