2nd Eai International Conference on Robotic Sensor Networks: Rosenet 2018
暫譯: 第二屆國際機器人感測網路會議：Rosenet 2018

Lu, Huimin, Yujie, Li

2nd Eai International Conference on Robotic Sensor Networks: Rosenet 2018
  • 出版商: Springer
  • 出版日期: 2019-07-02
  • 售價: $6,720
  • 貴賓價: 9.5 折 $6,384
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030177629
  • ISBN-13: 9783030177621
  • 相關分類: 感測器 Sensor、機器人製作 Robots

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides scientific research into Cognitive Internet of Things for Smart Society, with papers presented at the 2nd EAI International Conference on Robotic Sensor Networks. 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, with the explosive number of networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the network's community. The 2nd EAI International Conference on Robotic Sensor Networks was held 25-26 August 2018 at the Kitakyushu International Conference Center (MICE), Kitakyushu, Japan.

商品描述(中文翻譯)

本書提供了關於智慧社會的認知物聯網的科學研究，內容包括在第二屆EAI國際機器人感測器網路會議上發表的論文。該會議探討了網路與機器人技術的整合，這已成為全球學術界和產業界研究人員及開發者日益關注的主題。作者認為，大型網路將是下一代機器人研究的主要方法，隨著網路模型的爆炸性增長和計算機計算能力的提升，機器人技術的潛在應用數量顯著增加，同時也為網路社群帶來了新的挑戰。第二屆EAI國際機器人感測器網路會議於2018年8月25日至26日在日本北九州國際會議中心（MICE）舉行。

作者簡介

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. Currently, he is an Assistant 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.

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 an Assistant Professor in Fukuoka University, Japan and JSPS Research Fellow in Kyushu Institute of Technology, Japan. Her research interests include computer vision, sensors, and image segmentation.

作者簡介(中文翻譯)

胡敏璐於2008年獲得揚州大學電子信息科學與技術學士學位。2011年，他分別在九州科技大學和揚州大學獲得電機工程碩士學位。2014年，他在九州科技大學獲得電機工程博士學位。從2013年到2016年，他擔任九州科技大學的JSPS研究員（DC2、PD和FPD）。目前，他是九州科技大學的助理教授，也是日本文部科學省的優秀青年研究者。他的研究興趣包括計算機視覺、機器人技術、人工智慧和海洋觀測。

李宇杰於2009年獲得揚州大學計算機科學與技術學士學位。2012年，她分別在九州科技大學和揚州大學獲得電機工程碩士學位。2015年，她在九州科技大學獲得博士學位。從2016年到2017年，她擔任揚州大學的講師。目前，她是日本福岡大學的助理教授，以及九州科技大學的JSPS研究員。她的研究興趣包括計算機視覺、傳感器和影像分割。

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