A Fuzzy-Based System for Actor Node in an Ambient Intelligence Testbed: Effects of Different Parameters on Human Sleeping Conditions

  • Ryoichiro Obukata
  • Kevin Bylykbashi
  • Kosuke Ozera
  • Yi Liu
  • Shinji Sakamoto
  • Leonard Barolli
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 12)

Abstract

Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In our previous work, we presented the implementation and evaluation of actor node for AmI testbed. The actor node is equipped with a Reidan Shiki PAD and a fluorescent lamp. For evaluation, we considered respiratory rate and heart rate metrics. We carried out an experiments and clustered sensed data by k-means clustering algorithm. From experimental results, we found that the actor node of the implemented AmI testbed gives a good effect to human during sleeping. In this paper, we use fuzzy based model to check the effect of three parameters on human during sleeping.

References

  1. 1.
    Lindwer, M., Marculescu, D., Basten, T., Zimmermann, R., Marculescu, R., Jung, S., Cantatore, E.: Ambient intelligence visions and achievements: linking abstract ideas to real-world concepts. In: Proceedings of Design, Automation and Test in Europe Conference and Exhibition, pp. 10–15 (2003)Google Scholar
  2. 2.
    Gabel, O., Litz, L., Reif, M.: NCS testbed for ambient intelligence. In: IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 115–120 (2005)Google Scholar
  3. 3.
    del Campo, I., Martinez, M.V., Echanobe, J., Basterretxea, K.: A hardware/software embedded agent for RealTime control of Ambient-Intelligence environments. In: Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–8 (2012)Google Scholar
  4. 4.
    Virtex 5 Family Overview, Xilinx Inc., San Jose, CA (2009)Google Scholar
  5. 5.
    Bernardos, A.M., Tarrio, P., Casar, J.R.: CASanDRA: a framework to provide context acquisition services and reasoning algorithms for ambient intelligence applications. In: International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 372–377 (2009)Google Scholar
  6. 6.
    Acampora, G., Cook, D., Rashidi, P., Vasilakos, A.V.: A survey on ambient intelligence in health care. Proc. IEEE 101(12), 2470–2494 (2013)CrossRefGoogle Scholar
  7. 7.
    Aarts, E., Wichert, R.: Ambient intelligence. In: Technology Guide, pp. 244–249 (2009)Google Scholar
  8. 8.
    Aarts, E., de Ruyter, B.: New research perspectives on ambient intelligence. J. Ambient Intell. Smart Environ. 1(1), 5–14 (2009)Google Scholar
  9. 9.
    Vasilakos, A., Pedrycz, W.: Ambient Intelligence, Wireless Networking, and Ubiquitous Computing. Artech House Inc., Norwood (2006)Google Scholar
  10. 10.
    Sadri, F.: Ambient intelligence: a survey. ACM Comput. Surv. 43(4), 66 (2011). Article 36CrossRefGoogle Scholar
  11. 11.
    Kandel, A.: Fuzzy Expert Systems. CRC Press, Boca Raton (1992)Google Scholar
  12. 12.
    Zimmermann, H.J.: Fuzzy Set Theory and Its Applications, Second Revised Edition. Kluwer Academic Publishers, Dordrecht (1991)Google Scholar
  13. 13.
    McNeill, F.M., Thro, E.: Fuzzy Logic. A Practical Approach. Academic Press Inc., Cambridge (1994)MATHGoogle Scholar
  14. 14.
    Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic For The Management of Uncertainty. Wiley, Hoboken (1992)Google Scholar
  15. 15.
    Procyk, T.J., Mamdani, E.H.: A linguistic self-organizing process controller. Automatica 15(1), 15–30 (1979)CrossRefMATHGoogle Scholar
  16. 16.
    Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Englewood Cliffs (1988)MATHGoogle Scholar
  17. 17.
    Munakata, T., Jani, Y.: Fuzzy Systems: An Overview. Commun. ACM 37(3), 69–76 (1994)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Ryoichiro Obukata
    • 1
  • Kevin Bylykbashi
    • 2
  • Kosuke Ozera
    • 1
  • Yi Liu
    • 1
  • Shinji Sakamoto
    • 1
  • Leonard Barolli
    • 1
  1. 1.Graduate School of EngineeringFukuoka Institute of Technology (FIT)Higashi-ku, FukuokaJapan
  2. 2.Faculty of Information TechnologyPolytechnic University of TiranaTiranaAlbania

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