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Toward Social Services Based on Cyber Physical Systems

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Smart Sensors and Systems

Abstract

Cyber physical system (CPS) is a general computation concept, in which “Computers (Cyber world)” and “Real world” are integrated via computer networks. In a cyber physical system, there is a loop structure of “observation,” “processing” and “feedback” in the real world: (i) various kinds of data are acquired from our real world using various sensors; (ii) then those data are transferred to computers, or cyber world, and are processed and analyzed; (iii) the analyzed results are fed back to the real world and the real world are modified according to the feedback. Based on this loop structure, the real world is changed, or adjusted. The concept of cyber physical system is well suited for the framework of various IT-based social services, and, in this chapter, we present our research project applying the CPS to social services, especially to an energy management problem, which is one of the most crucial issues for our future society.

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Notes

  1. 1.

    Here, we can suppose every kind of networks. Of course, Internet can be used for integration.

  2. 2.

    It is necessary to design a good mechanism to control access privilege for each API. Then, many people can share the unified platform efficiently.

  3. 3.

    Currently, in some rooms, the consumption are measured every minute to achieve higher accuracy.

  4. 4.

    It is sometimes preferable in case of protection of personal privacy is strongly required.

  5. 5.

    Object tracking in each sensor is realized by combining basic image analysis methods [24].

  6. 6.

    The similarity of the histograms was calculated based on histogram intersection.

References

  1. Center for Co-Evolutional Social Systems. http://coi.kyushu-u.ac.jp/en/.

  2. Tanaka T, Shimada A, Arita D, Taniguchi R. Non-parametric background and shadow modeling for object detection. In: Proceedings of 8th Asian conference on computer vision; 2007. p. 159–68.

    Google Scholar 

  3. Zhao H, Chen Y, Shao X, Katabira K, Shibasaki R. Monitoring a populated environment using single-row laser range scanners from a mobile platform. In: Proceedings of IEEE international conference on robotics and automation; 2007. p. 4739–45.

    Google Scholar 

  4. Isard M, Blake A. CONDENSATION-Conditional density propagation for visual tracking. Int J Comput Vision. 1998;29(1):5–28.

    Article  Google Scholar 

  5. Furukawa H. PicoMESH, a W-LAN system enabled by expansive backhaul with wireless multihop capability. The intelligent buildings and smart homes conference 2009.

    Google Scholar 

  6. Tagashira S, Kanekiyo Y, Arakawa Y, Kitasuka T, Fukuda A. Collaborative filtering for position estimation error correction in WLAN positioning systems. IEICE Trans Commun. 2011; E94-B(3):649–57.

    Article  Google Scholar 

  7. Yasuura H. Towards the digitally named world challenges for new social infrastructures based on information technologies. In: Proceedings of euromicro symposium on digital system design architectures, methods and tools; 2003. p. 17–22.

    Google Scholar 

  8. Arita D, Okayasu T, Nugroho AP, Yoshinaga T, Doi N, Shimada A, Taniguchi R. Agricultural information sensing and visualization for farmer-consumer communication. In: 10th Joint workshop on machine perception and robotics; 2014.

    Google Scholar 

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Acknowledgements

The research work presented in this chapter has been partly supported by “A Research Promotion program for national level challenges ‘Research and Development for the realization of next-generation IT platforms”’ by the Ministry of Education, Culture, Sports, Science and Technology, Japan.

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Correspondence to Rin-ichiro Taniguchi .

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Taniguchi, Ri., Murakami, K., Shimada, A., Takano, S., Fukuda, A., Yasuura, H. (2015). Toward Social Services Based on Cyber Physical Systems. In: Lin, YL., Kyung, CM., Yasuura, H., Liu, Y. (eds) Smart Sensors and Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-14711-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-14711-6_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14710-9

  • Online ISBN: 978-3-319-14711-6

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