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An earthquake query system based on hidden Markov models

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Seismic waves are signals that may be generated by earthquakes. These waves are happening after a strong release of energy. Seismic waves may cause vibrations on the surface of the earth detected and recorded by a seismograph. We cannot directly predict where a high magnitude vibration will happen from recorded observations but with a hidden Markov model, we can predict an earthquake with a high magnitude, HMM will be implemented from earthquake historical data. An earthquake query system (EQS) is implemented to check the probability of specific state sequence. The proposed system can predict professionally if the next state will be an earthquake with 'strong' magnitude or not. Results showed that EQS can be used by governments for early warning and evacuations.

hidden Markov modelsViterbi algorithmearthquakestochastic procedureearthquake query systemEQSSOUTHERN-CALIFORNIATIMEMAGNITUDERECURRENCEAFTERSHOCKSHAZARDCOMPLETENESSPROBABILITYLIGHTWEIGHTSEQUENCE

Hosam, Osama

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Higher Coll Technol

2022

International Journal of Embedded Systems

International Journal of Embedded Systems

EIESCI
ISSN:1741-1068
年,卷(期):2022.15(2)