• DocumentCode
    2243400
  • Title

    Adaptive security systems - combining expert systems with adaptive technologies

  • Author

    Argo, Paul ; Loveland, Rohan ; Anderson, Kirsten ; Kelley, Brian ; Ticknor, Larry ; Elling, John ; Howse, James ; Linder, Kim ; Buenafe, Constance ; Berglin, Bob ; Adair, Kristin ; Johnson, Chris ; Hruska, Susan

  • Author_Institution
    Los Alamos Nat. Lab., NM, USA
  • Volume
    3
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    2573
  • Abstract
    The adaptive multisensor integrated security system (AMISS) uses a variety of computational intelligence techniques to reason from raw sensor data through an array of processing layers to arrive at an assessment for alarm/alert conditions based on human behavior within a secure facility. In this paper, we give an overview of the system and briefly describe some of the major components of the system. This system is currently under development and testing in a realistic facility setting
  • Keywords
    adaptive signal processing; data acquisition; database management systems; expert systems; inference mechanisms; security; sensor fusion; sensors; target tracking; adaptive security systems; alarm; alert condition; data acquisition; data mining; expert systems; multisensor integrated security system; reasoning; sensor fusion; statistical evaluation; target tracking; Adaptive arrays; Adaptive systems; Computational intelligence; Data security; Expert systems; Humans; Intelligent sensors; Sensor arrays; Sensor systems; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.635322
  • Filename
    635322