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Application of Fuzzy Logic for Improving Human Sleeping Conditions in an Ambient Intelligence Testbed

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Book cover Advances in Internet, Data & Web Technologies (EIDWT 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 17))

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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. In this paper, we introduce the implementation of the AmI testbed. We present the simulation results of the proposed Fuzzy-based Sleeping Condition System (FSCS) considering four parameters: room lighting, humidity, temperature and noise. The simulation results show that different parameters have different effects on human sleeping condition.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Polytechnic University of Tirana, Mother Teresa Square, No. 4, Tirana, Albania

    Kevin Bylykbashi & Evjola Spaho

  2. Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Ryoichiro Obukata & Yi Liu

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Leonard Barolli

  4. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Kajino-Machi, Koganei-Shi, Tokyo, 184-8584, Japan

    Makoto Takizawa

Authors
  1. Kevin Bylykbashi
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  2. Ryoichiro Obukata
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  3. Yi Liu
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  4. Evjola Spaho
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  5. Leonard Barolli
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  6. Makoto Takizawa
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Corresponding author

Correspondence to Kevin Bylykbashi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka-shi, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Nadeem Javaid

  4. Polytechnic University of Tirana, Tirana, Albania

    Evjola Spaho

  5. Polytechnic University of Tirana, Tirana, Albania

    Vladi Kolici

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Bylykbashi, K., Obukata, R., Liu, Y., Spaho, E., Barolli, L., Takizawa, M. (2018). Application of Fuzzy Logic for Improving Human Sleeping Conditions in an Ambient Intelligence Testbed. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-75928-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75927-2

  • Online ISBN: 978-3-319-75928-9

  • eBook Packages: EngineeringEngineering (R0)

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