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Intelligent system architecture for context-awareness in ubiquitous computing

  • Jae Woo Chang*
  • , Seung Tae Hong
  • *Corresponding author for this work

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    In this paper, we design an intelligent system architecture for dealing with context-aware application services in ubiquitous computing. The intelligent system architecture is composed of middleware, context server, and client. The middleware component of our intelligent system architecture plays an important role in recognizing a moving node with mobility by using a Bluetooth wireless communication technology as well as in executing an appropriate execution module according to the context acquired from a context server. The context server functions as a manager that efficiently stores into the database server context information, such as user's current status, physical environment, and resources of a computing system. To verify the usefulness of our intelligent system architecture, we finally develop a context-aware application system base on it, which provides users with a music playing service in ubiquitous computing environment.

    Original languageEnglish
    Title of host publicationUbiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings
    Pages677-686
    Number of pages10
    DOIs
    StatePublished - 2008
    Event5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008 - Oslo, Norway
    Duration: 2008.06.232008.06.25

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5061 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008
    Country/TerritoryNorway
    CityOslo
    Period08.06.2308.06.25

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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