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International Conference on Future Data and Security Engineering

FDSE 2015: Future Data and Security Engineering pp 147–161Cite as

An Approach for Developing Intelligent Systems in Smart Home Environment

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9446))

Abstract

Smart home systems are taken into account recently. By detecting abnormal usages in these systems may help users/organizations to better understand the usage of their home appliances and to distinguish unnecessary usages as well as abnormal problems which can cause waste, damages, or even fire. In this work, we first present an overview on the Smart Home Environments (SHEs) including their classification, architecture, and techniques which can be used in SHEs, as well as their applications in practice. We then propose a framework including methods for abnormal usage detection using home appliance usage logs. The proposed methods are validated by using a real dataset. Experimental results show that these methods perform nicely and would be promising for practice.

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Author information

Authors and Affiliations

  1. College of Information and Communication Technology, Can Tho University, 3/2 Street, Can Tho City, Vietnam

    Tran Nguyen Minh-Thai & Nguyen Thai-Nghe

Authors
  1. Tran Nguyen Minh-Thai
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  2. Nguyen Thai-Nghe
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Corresponding author

Correspondence to Tran Nguyen Minh-Thai .

Editor information

Editors and Affiliations

  1. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University Linz, Linz, Austria

    Roland Wagner

  3. Johannes Kepler University Linz, Linz, Austria

    Josef Küng

  4. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Nam Thoai

  5. Hosei University, Tokyo, Japan

    Makoto Takizawa

  6. University of Vienna, Vienna, Austria

    Erich Neuhold

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© 2015 Springer International Publishing Switzerland

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Minh-Thai, T.N., Thai-Nghe, N. (2015). An Approach for Developing Intelligent Systems in Smart Home Environment. In: Dang, T., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds) Future Data and Security Engineering. FDSE 2015. Lecture Notes in Computer Science(), vol 9446. Springer, Cham. https://doi.org/10.1007/978-3-319-26135-5_12

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  • DOI: https://doi.org/10.1007/978-3-319-26135-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26134-8

  • Online ISBN: 978-3-319-26135-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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