Hybrid technique using singular value decomposition (SVD) and support vector machine (SVM) approach for earthquake prediction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 5, 2014, Pages 1719-1728

  Astuti, Winda ^a   Akmeliawati, Rini ^a   Sediono, Wahju ^a   Salami, M J E ^a  

^a INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

Author keywords

Earth's electric field difference (Gfdiff); Earth's electric field signal; parametric model; singular value decomposition (SVD); support vector machine (SVM)

Indexed keywords

ELECTRIC FIELDS; FEATURE EXTRACTION; FORECASTING; IMPULSE RESPONSE; SIGNAL PROCESSING; SINGULAR VALUE DECOMPOSITION;

EARTHQUAKE PREDICTION; HYBRID TECHNIQUES; LINEAR PREDICTION COEFFICIENTS; PARAMETRIC MODELING; PREDICTION TECHNIQUES; PROCESSING PROCEDURES; SVM CLASSIFIERS; TIME-DOMAIN SIGNAL;

SUPPORT VECTOR MACHINES;

ARTIFICIAL INTELLIGENCE; EARTHQUAKE MAGNITUDE; EARTHQUAKE PREDICTION; EIGENVALUE; ELECTRIC FIELD; MATRIX; SIGNAL PROCESSING;

GREECE;

EID: 84903211313     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2321972     Document Type: Article

References (36)

1. N. Bhargava, V. K. Katiyar, M. L. Sharma, and P. Pradhan, "Earthquakes prediction through animal behavior: A review," Indian J. Biomech., 2009, pp. 159-165.
2. N. Geshenzon and G. Bambakidis, "Modeling of seismo-electromagnetic phenomena," Russ. J. Earth Sci., vol. 3, no. 4, pp. 247-275, Oct. 2001.
3. M. Ikeya, Earthquake and Animal: From Folk Legend to Science. Singapore: World Scientific, 2004.
4. K. Hattori, "ULF geomagnetic changes associated with large earthquakes," Terr. Atmos. Ocean. Sci., vol. 15, no. 3, pp. 329-360, Sep. 2004. (Pubitemid 39437671)
5. M. Hayakawa, T. Itoh, K. Hattory, and K. Yumoto, "ULF electromagnetic precursor for an earthquake at Biak Indonesia on February, 1996," Geophys. Res. Lett., vol. 27, no. 70, pp. 1531-1543, 2004.
6. F. T. Freund, "Rocks that crackle and sparkle and glow: Strange preearthquake phenomena," J. Sci. Explor., vol. 17, no. 1, pp. 37-71, 2003.
7. Y. Honkura et al., "Small electric and magnetic signals observed before the arrival of seismic wave," Earth Planets Space, vol. 54, pp. 9-12, 2002.
8. Y. Akinaga, M. Hayakawa, J. Y. Liu, K. Yumoto, and K. Hattori, "A precursory ULF signature for the Chi-Chi earthquake in Taiwan," Natural Hazards Earth Syst. Sci., vol. 1, pp. 33-36, 2001.
9. T. Mogi et al., "Geoelectric potential difference monitoring in southern Sumatra, Indonesia, co-seismic change," Earth Planets Space, vol. 52, pp. 245-252, 2000. (Pubitemid 30400748)
10. L. Piroddi and G. Ranieri, "Night thermal gradient: A new potential tool for earthquake precursor studies. An application to the seismic area of L'Aquila (Central Italy)," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 1, pp. 307-312, Feb. 2012.
11. K. Hamada, A Critical Review of Van: Earthquake Prediction from Seismic Electrical Signals, M. J. Lighthill, Ed. Singapore: World Scientific, 1996.
12. D. Lazarus, "Physical mechanisms for generation and propagation of SESs," in A Critical Review of VAN: Earthquake Prediction from Seismic Electric Signals, S. J. Lighthill, Ed. Singapore: World Scientific, 1996.
13. V. I. Keilis-Borok and V. G. Kossobokov, "Premonitory activation of earthquake flow: Algorithm M8," Phys. Earth Planet. Inter., vol. 61, no. 1-2, pp. 73-83, 1990.
14. V. G. Kossobokov, V. I. Keilis-Borok, and S. W. Smith, "Localization of intermediate-term earthquake prediction," J. Geophys. Res., vol. 95, pp. 19763-19772, 1990.
15. L. M. Carmen, V. N. Olga, F. P. Giuliano, and R. Mircea, "CN Earthquake prediction algorithm and the monitoring of the future strong Vrancea events," Rev. Roum. Géophys., vol. 48, pp. 31-36, 2004.
16. V. Kossobokov and P. Shebalin, "Earthquake prediction," in Nonlinear Dynamics of the Lithosphere and Earthquake Prediction, V. I. Keilis- Borok and A. A. Soloviev, Eds. Berlin, Germany: Springer-Verlag, 2003, pp. 141-207.
17. V. Keilis-Borok, "Earthquake prediction: State-of-the-art and emerging possibilities," Annu. Rev. Earth Planet. Sci., vol. 30, pp. 1-33, 2002, doi: 10.1146/annurev.earth.30.100301.083856. (Pubitemid 35374808)
18. A. Morales-Esteban, F. MartÕnez-àlvarez, A. Troncoso, J. L. Justo, and C. Rubio-Escudero, "Pattern recognition to forecast seismic time series," Expert Syst. Appl., vol. 37, pp. 8333-8342, 2010.
19. G. Preethi and B. Santhi, "Study on technique of earthquake prediction," Int. J. Comput. Appl., vol. 29, no. 4, pp. 0975-8887, Sep. 2011.
20. C. M. A. Robles and G. R. A. Hernandez-Beceerril, "Seismic alert system based on artificial neural networks," World Acad. Sci. Eng. Technol., vol. 66, p. 6, 2012.
21. C. Thanassoulas, Short-term earthquake prediction. Greece, H. Dounias & Co., 2007.
22. E. N. Lorenz, Empirical Orthogonal Functions and Statistical Weather Prediction, Dept. Meteorology, Massachusetts Inst. Technol., Cambridge, MA, USA, Scientific Rep. 1, 1956, p. 98.
23. J. M. Wallace, S. Catherine, and C. S. Bretherton, "Singular value decomposition of wintertime sea surface temperature and 500-mb height anomalies," J. Clim., vol. 5, pp. 561-576, 1992.
24. Y. Radhika and M. Shashi, "Atmospheric temperature prediction using support vector machine," Int. J. Comput. Theory Eng., vol. 1. no. 1, pp. 55-58, Apr. 2009.
25. T. Rao, N. Rajasekhar, and T. V. Rajinikanth, "An efficient approach for weather forecasting using support vector machine," in Proc. Int. Conf. Comput. Technol. Sci. (ICCTS), Int. Proc. Comput. Sci. Inf. Technol. (IPCSIT), Singapore, 2012, vol. 47, pp. 208-212, doi: 10.7763/IPCSIT 2012.V47.39.
26. N. Cristianini and T. J. Shawe, An Introduction to Support Vector Machine and Other Kernel-Based Learning Methods. Cambridge, U.K.: Cambridge Univ. Press, 2000.
27. W. Astuti, W. Sediono, A. M. Aibinu, R. Akmeliawati, and M. J. E. Salami, "Investigation on the characteristic of geoelectric field prior to the earthquake using adaptive STFT techniques," Nat. Hazards Earth Syst. Sci., 2013, pp. 1679-1686.
28. Personal Communication with Dr. C. Thanassoulas, 2012.
29. H. Baali, M. J. E. Salami, R. Akmeliawati, and A. M. Aibinu, "Analysis of theECGsignal using SVD-based parametric modelling technique," in Proc. 6th IEEE Int. Symp. Electron. Des. Test Appl. (DELTA), Jan. 17-19, 2011, pp. 180-184.
30. P. Vaidyanathan, Theory of Linear Prediction. San rafael, CA, USA: Morgan & Claypool, 2008, pp. 1-184.
31. R. Rifkin and A. Klautau, "In defense of one-Vs-All classification," J. Mach. Learn. Res., vol. 5, pp. 101-141, 2004.
32. C. Thanassoulas, V. Klentos, G. Verveniotis, and N. Zymaris, "Preseismic oscillating electric field "strange attractor like" precursor, of T = 6 months, triggered by SSA tidal wave. Application on large (Ms > 6.0R) EQs in Greece (October 1st, 2006-December 2nd, 2008)," Geo physic (physics, geo-ph), Arxiv: 0901.4285/2009, 2009.
33. C. Thanassoulas, V. Klentos, G. Verveniotis, and N. Zymaris, "Preseismic electric field "strange attractor" like precursor analysis applied on large (Ms > 5.5R) EQs,which occurred in Greece during December 1st, 2007-April 30th, 2008," Geo physic (physics, geo-ph), Arxiv: 0810.4784/2008, 2008.
34. C. Thanassoulas, V. Klentos, and G. Verveniotis, "Strange attractor like electric seismic precursor observed prior to the Nafpactos, Greece, EQs of 18th/22nd January, 2010(Ms = 5.7R/5.6R)," Geo physic (physics, geo-ph), Arxiv: 1003.2772/2010, 2010.
35. C. Thanassoulas, "The electric field of the Earth after the occurrence of the February 14th, 2008, Ms = 6.7R EQ in Greece. Its implications towards the prediction of a probable future large EQ," Geo physic (physics, geo-ph), Arxiv: 0802.3752/2008, 2008.
36. C. Thanassoulas, "The seismic area in the lithosphere considered as an "Open Physical System." Its implications on some seismological aspects. Part-II. Maximum expected magnitude determination," Geo physic (physics, geo-ph), Arxiv: 08070897/2008, 2008.