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  • Conference proceedings
  • © 2021

3rd EAI International Conference on Robotic Sensor Networks

ROSENET 2019

Editors:

  • Presents the proceedings of the 3rd EAI International Conference on Robotic Sensor Networks (ROSENET 2019), August 17, 2019, Kitakyushu, Japan
  • Features papers on robotic technologies for healthcare, medicine, military and more
  • Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals

Conference proceedings info: ROSENET 2019.

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Table of contents (8 papers)

  1. Front Matter

    Pages i-ix
  2. Reinforcement Learning-Based Cell Intelligent Multimode Frequency Reuse Method

    • Zhiling Tang, Yuan Wang, Rushi Lan, Xiaonan Luo, Simin Li
    Pages 1-11
  3. Image Registration Method for Temporal Subtraction Based on Salient Region Features

    • Suguru Sato, Huimin Lu, Hyoungseop Kim, Seiichi Murakami, Midori Ueno, Takashi Terasawa et al.
    Pages 13-20
  4. Double-Blinded Finder: A Two-Side Privacy-Preserving Approach for Finding Missing Children

    • Xin Jin, Shiming Ge, Chenggen Song, Xiaodong Li, Jicheng Lei, Chuanqiang Wu et al.
    Pages 33-43
  5. Complex Object Illumination Transfer Through Semantic and Material Parsing and Composition

    • Xiaodong Li, Rui Han, Ning Ning, Xiaokun Zhang, Xin Jin
    Pages 45-54
  6. Intelligent Control of Ultrasonic Motor Using PID Control Combined with Artificial Bee Colony Type Neural Networks

    • Shenglin Mu, Satoru Shibata, Tomonori Yamamoto, Shota Nakashima, Kanya Tanaka
    Pages 71-80
  7. An Adaptable Feature Synthesis for Camouflage

    • Guangxu Li, Ziyang Yu, Jiying Chang, Hyoungseop Kim
    Pages 81-91
  8. Back Matter

    Pages 93-96

About this book

This proceedings presents the papers of the 3rd EAI International Conference on Robotic Sensor Networks (ROSENET 2019).  The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, The book discusses how the explosive number of network models and increasing computational power of computers significantly extends the number of potential applications for robotic technologies while also bringing new challenges to each network's community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place August 17, 2019, Kitakyushu, Japan.

  • Presents the proceedings of the 3rd EAI International Conference on Robotic Sensor Networks (ROSENET 2019),August 17, 2019, Kitakyushu, Japan
  • Features papers on robotic technologies for healthcare, medicine, military and more
  • Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals

Editors and Affiliations

  • Fukuoka University, Fukuoka, Japan

    Yujie Li

  • School of Engineering, Kyushu Institute of Technology, Fukuoka, Japan

    Huimin Lu

About the editors

Yujie Li received the B.S. degree in Computer Science and Technology from Yangzhou University in 2009. She received M.S. degrees in Electrical Engineering from Kyushu Institute of Technology and Yangzhou University in 2012, respectively. She received a Ph.D. degree from Kyushu Institute of Technology in 2015. From 2016 to 2017, she was a Lecturer in Yangzhou University. Currently, she is a JSPS research fellow (FPD) at Kyushu Institute of Technology and an Assistant Professor in Fukuoka University, Japan. Her research interests include computer vision, sensors, and image segmentation.

 

Huimin Lu received a B.S. degree in Electronics Information Science and Technology from Yangzhou University in 2008. He received M.S. degrees in Electrical Engineering from Kyushu Institute of Technology and Yangzhou University in 2011. He received a Ph.D. degree in Electrical Engineering from Kyushu Institute of Technology in 2014. From 2013 to 2016, he was a JSPS research fellow (DC2, PD, and FPD) at Kyushu Institute of Technology. From 2017 to 2019, he was an assistant professor in Kyushu Institute of Technology, Japan. Currently, he is an associate professor in Kyushu Institute of Technology and an Excellent Young Researcher of MEXT-Japan. His research interests include computer vision, robotics, artificial intelligence, and ocean observing.

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
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