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
Link To Document :
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