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논문검색

Intelligence@Lab: A Smart Space for Researchers Based on Sensor Networks in Pervasive Computing Environment

초록

영어

With the rapid progress on the Internet Technology, many projects have been proposed in terms of remote education system such as WBT (Web-Based Training) and E-learning. Such systems can help learners for studying by themselves based on their own learning history in a virtual world. However, learners usually spend time in the real world during studying, exercising, and the other activities. It seems the systems do not give enough support to learners in the real world. Ubiquitous technologies make it possible to provide services to learners anytime and anywhere in the real world. It means learners can receive more meticulous, individually-targeted support in ubiquitous environments. In this paper, we propose a ubiquitous environment to support college students, professors, and visitors in a laboratory to encourage positive research activities. Actions of people in the Ubiquitous Laboratory (U-Lab) are individually recorded by sensor networks and analyzed to provide suitable supports. Based on these collected information, U-Lab provides services such as to grasp a precise research progress and share research information among students and professors. We also propose a method to advise students to improve their research activities.

목차

Abstract
 1. Introduction
 2. Model and problem definition
 3. Basic ideas and the outline of the system
  • How to categorize areas in the laboratory
  • How to set sensors
  • How to share information among sensors
  • How to analyze collected data efficiently
  • How to support effectively
  • How to manage resources and documents in the laboratory
 4. Comparing method and case study
  4.1. Comparing method
  4.2. Case study
 5. Implementation
  5.1. Model of ubiquitous corner
  5.2. Interaction with the special tile
  5.3. Outline of the system
  5.4. Environment of development
  5.5. Challenges of development
 6. Experiment and verification of the system
 7. Conclusion and future work
 Acknowledgements
 References

저자정보

  • Mianxiong Dong Graduate School of Computer Science and Engineering, The University of Aizu Aizu-Wakamatsu, Fukushima, 965-8580, Japan
  • Kaoru Ota Department of Computer Science, Oklahoma State University
  • Feilong Tang Department of Computer Science and Engineering, Shanghai Jiao Tong University
  • Minyi Guo School of Computer Science and Engineering, The University of Aizu
  • Zixue Cheng School of Computer Science and Engineering, The University of Aizu

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