• DocumentCode
    2602835
  • Title

    Artificially Intelligent Tsunami Early Warning System

  • Author

    Cherian, C. Mathew ; Jayaraj, Nivethitha ; Vaidyanathan, S.G.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Sri Venkateswara Coll. of Eng., Chennai, India
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    Tsunami is a series of water waves caused by submarine earthquakes leading to the displacement of a large volume of water. The earliest known tsunami was recorded in 1450 B.C. Existing methods to predict the occurrence of tsunami depend on humans to make the decisions. In this paper we propose an intelligent system for predicting tsunami on a real time basis which uses the fuzzy type of reasoning. The project was implemented using the LabVIEW programming interface. The advantage of this system is that it can operate autonomously and universally thereby allowing its deployment in uninhabitable and remote places.
  • Keywords
    alarm systems; artificial intelligence; earthquakes; fuzzy reasoning; tsunami; virtual instrumentation; LabVIEW programming interface; artificially intelligent tsunami early warning system; fuzzy reasoning; submarine earthquakes; Alarm systems; Artificial intelligence; Earthquakes; Fuzzy reasoning; Fuzzy systems; Humans; Intelligent systems; Real time systems; Tsunami; Underwater vehicles; artificial intelligence; earthquakes; fuzzy logic; sea level detection; tsunami prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-6614-6
  • Type

    conf

  • DOI
    10.1109/UKSIM.2010.16
  • Filename
    5481058