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    Context-aware inference in ubiquitous residential environments

    Access Status
    Fulltext not available
    Authors
    Lee, J.
    Lee, H.
    Kim, M.
    Wang, Xiangyu
    Love, Peter
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Lee, J. and Lee, H. and Kim, M. and Wang, X. and Love, P. 2014. Context-aware inference in ubiquitous residential environments. Computers in Industry. 65: pp. 148-157.
    Source Title
    Computers in Industry
    DOI
    10.1016/j.compind.2013.08.005
    ISSN
    01663615
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/38648
    Collection
    • Curtin Research Publications
    Abstract

    Residential ubiquitous computing environments have focused on interconnecting environmental controls using a home network and the management of sensor data rather than a context-aware inference. Building upon previous research, this paper proposes a novel sensor-based context-aware system with a focus on three inference processes: rule, inference and pattern driven. Using pattern data derived from five families for a working week and establishing rules and inferences, the proposed context-aware system is demonstrated using electrical lighting as an example. The processes to develop an intelligent house are described so as to ameliorate personalized services in response to inhabitants’ needs.

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