• DocumentCode
    2222519
  • Title

    CORMS AI: continuous operational real-time monitoring system

  • Author

    Vafaie, Haleh ; Cecere, Carl

  • Author_Institution
    Northrop Grumman Inf. Technol. Inc., Bethesda, MD, USA
  • fYear
    2004
  • fDate
    15-17 Nov. 2004
  • Firstpage
    716
  • Lastpage
    720
  • Abstract
    Rule based reasoning and case based reasoning have emerged as two important and complementary reasoning methodologies in artificial intelligence (AI). We describe the approach for the development of CORMS AI, a decision support system which employs rule-based and case-based reasoning to assist National Ocean Service watch standing personnel in monitoring the quality of incoming and outgoing marine environmental data and information. CORMS AI has proven to be robust, extendable, and cost effective. It is estimated that CORMS AI save government over one million dollars per year when its full range of quality control monitoring capabilities is implemented.
  • Keywords
    case-based reasoning; decision support systems; knowledge based systems; learning (artificial intelligence); monitoring; oceanography; quality control; real-time systems; National Ocean Service; artificial intelligence; case based reasoning; continuous operational real-time monitoring system; decision support system; marine environmental data; quality control monitoring; rule based reasoning; Artificial intelligence; Costs; Decision support systems; Government; Monitoring; Oceans; Personnel; Real time systems; Robustness; Watches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2236-X
  • Type

    conf

  • DOI
    10.1109/ICTAI.2004.44
  • Filename
    1374259