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Japanese Ubiquotous Network Project: Ubila

  • Masayoshi Ohashi

Abstract

Recently, the advent of sophisticated technologies has stimulated ambient paradigms that may include high-performance CPU, compact real-time operating systems, a variety of devices/sensors, low power and high-speed radio communications, and in particular, third generation mobile phones. In addition, due to the spread of broadband ccess networks, various ubiquitous terminals and sensors can be connected closely.

Keywords

Sensor Node Mobile Phone Wireless Sensor Network Ubiquitous Computing Ambient Intelligence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Dey AK, Abowd GD (2000) Towards a better understanding of context and context -awareness. In: Proceedings of the CHI 2000, The Hague, NetherlandsGoogle Scholar
  2. [2]
  3. [3]
    Ito M, Katagiri Y, Ishikawa M, Tokuda H (2007) Airy tes: An experiment of microclimate monitoring in shinjuku gyoen garden. In: INSS 2007, Braunschweig, Germany, pp 260–266Google Scholar
  4. [4]
    Iwai M, Komaki A, Tokuda H (2005) Mo@i: A large display ervice platform enabling multi-zones serviceability. In: Ubicomp 2005 Workshops:W6 The Spaces in-between: Seamful vs. Seamless Interactions, Tokyo, JapanGoogle Scholar
  5. [5]
    Iwamoto T, Suzuki G, Aoki S, Kohtake N, Takashio K, Tokuda H (2004) u-photo: A design and implementation of a snapshot based method for capturing contextual information. In: Pervasive 2004 Workshop on Memory and Sharing of Experiences, Vienna, AustriaGoogle Scholar
  6. [6]
  7. [7]
    Kaneko Y, Harumoto K, Fukumura S, Shimojo S, Nishio S (2005) A location-based peer-to-peer network for context-aware services in a ubiquitous nvironment. In: SAINT2005 Workshop, Trento, ItalyGoogle Scholar
  8. [8]
    Kawahara Y, Kawanishi N, Ozawa M, Morikawa H, Asami T (2007) Designing a framework for scalable coordination of wireless sensor networks, context information and web services. In: IWSAWC 2007, Toronto, CanadaGoogle Scholar
  9. [9]
  10. [10]
    Kohtake N, Ohsawa R, Yonezawa T, Matsukura Y, Iwai M, Takashio K, Tokuda H (2005) u-texture: Self-organizable universal panels for reating smart surroundings. In: The Seventh International Conference on Ubiquitous Computing (UbiComp2005), Tokyo, Japan, pp 19–36Google Scholar
  11. [11]
  12. [12]
  13. [13]
  14. [14]
    Minami M, Fukuju Y, Hirasawa K, Yokoyama S, Mizumachi M, Morikawa H, Aoyama T (2004) Dolphin; a practical approach for implementing a fully distributed indoor ultrasonic positioning system. In: Ubicomp2004, Nottingam, EnglandGoogle Scholar
  15. [15]
    Morikawa D, Honjo M, Yamaguchi A, Ohashi M (2005) A design and implementation of a dynamic mobile portal adaptation system. In: WPMC2005, Alborg, Denmark, pp 1291 – 1299Google Scholar
  16. [16]
    Nakashima H (2007) Advances in Ambient Intelligence, Frontiers in Artificial Intelligence and Applications, vol 164, IOS Press, chap Cyber Assist Project for Ambient Intelligence, pp 1–20Google Scholar
  17. [17]
    Ohnishi K, Yoshida K, Oie Y (2007) P2p file sharing etworks allowing participants to freely assign structured meta-data to files. In: INFOSCALE, Suzhou, China Google Scholar
  18. [18]
    Ohsawa Y (2003) Chance Discovery, Springer Verlag, chap 18, pp 262–275Google Scholar
  19. [19]
    Okamura A, Nakatsugawa K, Yamada H, Suga J, Takechi R, Chugo A (2006) Optimum route control method based on access and core network status. In: World Telecommunications Congress 2006Google Scholar
  20. [20]
  21. [21]
    Saruwatari S, Kashima T, Minami M, Morikawa H, Aoyama T (2005) Pavenet: A hardware and software framework for wireless sensor networks. Transaction of the Society of Instrument and Control Engineers E-S-1(1):74–84Google Scholar
  22. [22]
    Si H, Kawahara Y, Morikawa H, Aoyama T (2005) A stochastic approach for creating dynamic context-aware services in smart home environment. In: Demo session of the 3rd International Conference on Pervasive Computing (Pervasive 2005), Munich, GermanyGoogle Scholar
  23. [23]
    Suzuki G, Aoki S, Iwamoto T, Maruyama D, Koda T, Kohtake N, Takashio K, Tokuda H (2005) u-photo: Interacting with pervasive ervices using digital still images. In: The 3rd International Conference on Pervasive Computing (Pervasive 2005), Munich, GermanyGoogle Scholar
  24. [24]
    Suzuki M, Saruwatari S, Kurata N, Morikawa H (2007) Demo abstract: A high - density earthquake monitoring system using wireless sensor networks. In: SenSys2007, Sydney, Australia, pp 373–374Google Scholar
  25. [25]
    Tokyo Ubiquitous Technology Project (2009) http://www.tokyo-ubinavi.jp/en/tokyo/index.html
  26. [26]
  27. [27]
  28. [28]
    Ubila (2003) http://www.ubila.org/
  29. [29]
    Ubiquitous Networking Forum (2002) http://www.ubiquitous-forum.jp/
  30. [30]
    uPlatea (2003) A book of dokodemo. Tech. rep., Ubiquitous Networking ForumGoogle Scholar
  31. [31]
  32. [32]
    Weiser M (1991) The computer for the twenty-first century. Scientific American 265:94–104CrossRefGoogle Scholar
  33. [33]
    Yaoyorozu Project (2002) http://www.8 mg.jp/en/index.html

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.ATR Media Information Science LaboratoriesKyotoJapan

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