Big Data, Cloud Computing, and Data Science Engineering

1. Front Matter

   Pages i-xiii

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2. Robust Optimization Model for Designing Emerging Cloud-Fog Networks

   • Masayuki Tsujino

   Pages 1-18

3. Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks

   • Shota Imai, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga

   Pages 19-32

4. Learning Neural Circuit by AC Operation and Frequency Signal Output

   • Masashi Kawaguchi, Naohiro Ishii, Masayoshi Umeno

   Pages 33-49

5. IoTDoc: A Docker-Container Based Architecture of IoT-Enabled Cloud System

   • Shahid Noor, Bridget Koehler, Abby Steenson, Jesus Caballero, David Ellenberger, Lucas Heilman

   Pages 51-68

6. A Survival Analysis-Based Prioritization of Code Checker Warning: A Case Study Using PMD

   • Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara

   Pages 69-83

7. Elevator Monitoring System to Guide User’s Behavior by Visualizing the State of Crowdedness

   • Haruhisa Hasegawa, Shiori Aida

   Pages 85-98

8. Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models

   • Ken Nishimatsu, Akiya Inoue, Miiru Saito, Motoi Iwashita

   Pages 99-114

9. Norm-referenced Criteria for Strength of the Upper Limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment

   • Su-Hyun Kim, Jin-Wook Lee

   Pages 115-126

10. A Feature Point Extraction and Comparison Method Through Representative Frame Extraction and Distortion Correction for 360° Realistic Contents

    • Byeongchan Park, Youngmo Kim, Seok-Yoon Kim

    Pages 127-140

11. Dimension Reduction by Word Clustering with Semantic Distance

    • Toshinori Deguchi, Naohiro Ishii

    Pages 141-155

12. Word-Emotion Lexicon for Myanmar Language

    • Thiri Marlar Swe, Phyu Hninn Myint

    Pages 157-171

13. Release from the Curse of High Dimensional Data Analysis

    • Shuichi Shinmura

    Pages 173-195

14. Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis

    • Hongyu Zhao, Zhelong Wang, Sen Qiu, Jie Li, Fengshan Gao, Jianjun Wang

    Pages 197-212

15. Back Matter

    Pages 213-214

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This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29–31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way.
 
Presenting 15 of the conference’s most promising papers, the book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them.

• Computational Intelligence
• Big Data
• Cloud Computing
• Data Science
• Data Science Engineering
• BCD
• BCD2019

• Software Engineering and Information Technology Institute, Central Michigan University, Mount Pleasant, USA

  Roger Lee

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