Title: An earthquake query system based on hidden Markov models

Authors: Osama Hosam

Addresses: CIS Department, Faculty of Computer Information Systems, Higher Colleges of Technology, UAE; Informatics Research Institute, The City for Scientific Research and Technology Applications, Alexandria, Egypt

Abstract: 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.

Keywords: hidden Markov models; Viterbi algorithm; earthquake; stochastic procedure; earthquake query system; EQS.

DOI: 10.1504/IJES.2022.123311

International Journal of Embedded Systems, 2022 Vol.15 No.2, pp.149 - 157

Received: 01 Dec 2021
Accepted: 13 Dec 2021

Published online: 08 Jun 2022 *

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