Artificially Intelligent Tsunami Early Warning System

被引：5
|
作者：
Cherian, C. Matthew [1 ]
Jayaraj, Nivethitha [1 ]
Vaidyanathan, Ganesh S. [1 ]
机构：
[1] Sri Venkateswara Coll Engn, Dept Elect & Commun Engn, Madras 602105, Tamil Nadu, India
来源：
2010 12TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM) | 2010年
关键词：
fuzzy logic; tsunami prediction; artificial intelligence; earthquakes; sea level detection;
D O I：
10.1109/UKSIM.2010.16
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：39 / 44
页数：6
相关论文
共 50 条
  • [21] Tsunami Warning System in Japan
    Doi, K
    [J]. EARLY WARNING SYSTEMS FOR NATURAL DISASTER REDUCTION, 2000, : 537 - 541
  • [22] Warning system survives tsunami
    不详
    [J]. NEW SCIENTIST, 2006, 190 (2553) : 27 - 27
  • [23] Probabilistic tsunami forecasting for early warning
    J. Selva
    S. Lorito
    M. Volpe
    F. Romano
    R. Tonini
    P. Perfetti
    F. Bernardi
    M. Taroni
    A. Scala
    A. Babeyko
    F. Løvholt
    S. J. Gibbons
    J. Macías
    M. J. Castro
    J. M. González-Vida
    C. Sánchez-Linares
    H. B. Bayraktar
    R. Basili
    F. E. Maesano
    M. M. Tiberti
    F. Mele
    A. Piatanesi
    A. Amato
    [J]. Nature Communications, 12
  • [24] Bayesian networks for tsunami early warning
    Blaser, L.
    Ohrnberger, M.
    Riggelsen, C.
    Babeyko, A.
    Scherbaum, F.
    [J]. Geophysical Journal International, 2011, 185 (03): : 1431 - 1443
  • [25] Bayesian networks for tsunami early warning
    Blaser, L.
    Ohrnberger, M.
    Riggelsen, C.
    Babeyko, A.
    Scherbaum, F.
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2011, 185 (03) : 1431 - 1443
  • [26] Early Warning Systems for Tsunami - An overview
    Blackford, ME
    [J]. EARLY WARNING SYSTEMS FOR NATURAL DISASTER REDUCTION, 2000, : 535 - 536
  • [27] Tsunami early warning and decision support
    Steinmetz, T.
    Raape, U.
    Tessmann, S.
    Strobl, C.
    Friedemann, M.
    Kukofka, T.
    Riedlinger, T.
    Mikusch, E.
    Dech, S.
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2010, 10 (09) : 1839 - 1850
  • [28] Probabilistic tsunami forecasting for early warning
    Selva, J.
    Lorito, S.
    Volpe, M.
    Romano, F.
    Tonini, R.
    Perfetti, P.
    Bernardi, F.
    Taroni, M.
    Scala, A.
    Babeyko, A.
    Lovholt, F.
    Gibbons, S. J.
    Macias, J.
    Castro, M. J.
    Gonzalez-Vida, J. M.
    Sanchez-Linares, C.
    Bayraktar, H. B.
    Basili, R.
    Maesano, F. E.
    Tiberti, M. M.
    Mele, F.
    Piatanesi, A.
    Amato, A.
    [J]. NATURE COMMUNICATIONS, 2021, 12 (01)
  • [29] DEVELOPMENT OF INTELLIGENT EARLY WARNING SYSTEM FOR STEAM TURBINE
    Alnaimi, Firas B. Ismail
    Bin Ismail, Rahmat Izaizi
    Ker, Pin Jern
    Wahidin, Siti Khadijah Binti
    [J]. JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2019, 14 (02): : 844 - 858
  • [30] Intelligent early-warning system of dam safety
    Su, HZ
    Wen, ZP
    [J]. PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 1868 - 1877
12345