Abstract
This paper discusses the use of wavelets for the preprocessing of data from seismic observation stations. The authors analyze the application of wavelets for seismic event data processing, discuss natural disasters prediction trends and make a decision about importance of performing additional seismic data analysis. We provide a new approach of seismic event preprocessing based on different methods combination and MATLAB usage. This approach can be used during educational process in the fields of digital data processing, wavelet analysis, natural disasters research and MATLAB study.
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References
Korobeynikov, A.G.: Development and analysis of mathematical models using MATLAB and MAPLE – St. Petersburg: St. Petersburg National Research University of Information Technologies, Mechanics and Optics, 144 pp. (2010). https://elibrary.ru/item.asp?id=26121333
Korobeynikov, A.G.: Designing and researching mathematical models in MATLAB and Maple environments. – SPb: SPbSU ITMO, 160 p. (2012). https://elibrary.ru/item.asp?id=26120684
Korobeynikov, A.G., Grishentcev, A.Yu.: Development and research of multidimensional mathematical models using computer algebra systems. – SPb: NIU ITMO, 100 p. (2014). https://elibrary.ru/download/elibrary_26121279_54604165.pdf
Velichko, E.N., Grishentsev, A., Korikov, C., Korobeynikov, A.G.: On interoperability in distributed geoinformational systems. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9247, pp. 496–504 (2015)
Grishentcev, A.U., Korobeynikov, A.G.: Interoperability tools in distributed geoinformation systems. J. Radio Electron. (3), 19 (2015). http://jre.cplire.ru/jre/mar15/7/text.pdf
Tung, K.K.: Topics in Mathematical Modeling. Princeton University Press, Princeton (2007). van de Koppel, J., Huisman, J., van der Wal, R., Olff, H.: Patterns of herbivory along a prouductivity gradient: an empirical and theoretical investigation. Ecology 77(3), 736–745
Pianosi, F., Sarrazin, F., Wagener, T.: A Matlab toolbox for global sensitivity analysis. Environ. Model. Softw. 70, 80–85 (2015)
Korobeinikov, A.G., Ismagilov, V.S., Kopytenko, Yu.A., Petrishchev, M.S.: The study of the geoelectric structure of the crust on the basis of the analysis of the phase velocities of ultra geomagnetic variations. Cybernet. Programm. (2), 36–43 (2013). https://doi.org/10.7256/2306-4196.2013.2.8736. http://e-notabene.ru/kp/article_8736.html
Korobeinikov, A.G., Ismagilov, V.S., Kopytenko, Yu.A., Petrishchev, M.S.: Processing of experimental studies of the Earth crust geoelectric structure based on the analysis of the phase velocities of extra-low-frequency geomagnetic variations. Softw. Syst. Comput. Methods (3), 295–300 (2013). https://doi.org/10.7256/2305-6061.2013.3.10381
Korobeynikov, A.G., Fedosovsky, M.E., Zharinov, I.O., Polyakov, V.I., Shukalov, A.V., Gurjanov, A.V., Arustamov, S.A.: Method for conceptual presentation of subject tasks in knowledge engineering for computer-aided design systems. In: Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI 2017), vol. 2, pp. 50–56 (2017). https://link.springer.com/chapter/10.1007/978-3-319-68324-9_6
Korobeynikov, A.G., Fedosovsky, M.E., Gurjanov, A.V., Zharinov, I.O., Shukalov, A.V.: Development of conceptual modeling method to solve the tasks of computer-aided design of difficult technical complexes on the basis of category theory. Int. J. Appl. Eng. Res. 12(6), 1114–1122 (2017). ISSN 0973-4562. http://www.ripublication.com/ijaer17/ijaerv12n6_46.pdf
Velichko, E.N., Korikov, C., Korobeynikov, A.G., Grishentsev, A.Y., Fedosovsky, M.E.: Information risk analysis for logistics systems. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9870, pp. 776–785 (2016)
Wang, Z.: Application of Matlab in the university mathematical experiment course. Comput. Digit. Eng. (2013)
Biao, W.: Brief analysis on application of Matlab in higher mathematics teaching. Comput. Digit. Eng. (2013)
Velichko, E.N., Grishentsev, A.Y., Korobeynikov, A.G.: Inverse problem of radiofrequency sounding of ionosphere. Int. J. Mod. Phys. A 31(2–3) (2016). ISSN0217-751X. http://www.worldscientific.com/doi/abs/10.1142/S0217751X16410335
Korobeynikov, A.G., Aleksanin, S.A., Perezyabov, O.A.: Automated image processing using magnetic defectoscopy. ARPN J. Eng. Appl. Sci. 10(17), 7488–7493 (2015). ISSN 1819-6608. http://www.arpnjournals.com/jeas/research_papers/rp_2015/jeas_0915_2586.pdf
Xanthakis, J.: Possible periodicities of the annual released global seismic energy (M > 7.9) during the period 198-1971. Tectonophysics. 81(1–2), T7–T14 (1982)
Ashit, K.D.: Earthquake prediction using artificial neural networks. Int. J. Res. Rev. Comput. Sci. (IJRRCS) 2(6), 2079–2557 (2011)
Moustra, M., Avraamides, M., Christodou1ou, C.: Artificial neural network for earthquake prediction using time series magnitude data or seismic electric signals Expert Syst. Appl. 38(12), 15032–15039 (2011)
Wang, Y., Chen, Y., Zhang, J.: The application of RBF neural network in earthquake prediction. In: Third International Conference on Genetic and Evolutionary Computing, pp. 465–468 (2009)
Panakkat, A., Adeli, H.: Neural Network model for earthquake magnitude prediction using multiple seismicity indicator. Int. J. Syst. 17(1), 13–33 (2007)
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Korobeynikov, A., Polyakov, V., Komarova, A., Menshchikov, A. (2019). The Application of MATLAB for the Primary Processing of Seismic Event Data. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_41
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