Abstract
The results of preliminary processing of the primary data obtained from the geophysical automatic station are presented. Descriptive statistics and simulation of time series were used as processing methods. The presentation of the results by multidimensional graphs allowed to reveal the phenomenon of coincidence in the first indicators of descriptive statistics, and in the second, the coincidence of the model’s coefficients for the daily measurements of the natural electric field. This phenomenon represents that the days with practically identical values of indicators and coefficients of the model are manifested. However, the essence of this phenomenon needs new additional research.
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References
INTERMAGNET. International Real-time Magnetic Observatory Network (2017). http://www.intermagnet.org http://www.intermagnet.org/index-eng.php. Accessed 05 Aug 2017
INTERMAGNET. International Real-time Magnetic Observatory Network (2017). http://www.intermagnet.org/activitymap/activitymap-eng.php. Accessed 05 Sep 2017
The National Geophysical Data Center (NGDC) and its sister data centers merged into the National Centers for Environmental Information (NCEI) (2017). http://www.ngdc.noaa.gov http://www.ngdc.noaa.gov/ngdcinfo/aboutngdc.html. Accessed 12 June 2018
The National Geophysical Data Center (NGDC) and its sister data centers merged into the National Centers for Environmental Information (NCEI) (2017). ftp://ftp.ngdc.noaa.gov/wdc/geomagnetism/data/observatories/definitive. Accessed 12 Aug 2018
Incorporated Research Institutions for Seismology (IRIS) (2017). http://www.iris.edu/hq/ http://ds.iris.edu/seismon/ http://www.iris.edu/hq/programs/gsn. Accessed 05 June 2018
Incorporated Research Institutions for Seismology (IRIS) (2017). http://www.usarray.org/researchers/obs/magnetotelluric http://ds.iris.edu/gmap/_US-MT. Accessed 12 June 2018
USGS Geomagnetism Program (2018). http://geomag.usgs.gov/ http://geomag.usgs.gov/plots/. Accessed 07 Aug 2018
Shakhovska, N., Nych, L., Kaminskyj, R.: The identification of the operator’s systems images using the method of the phase portrait. In: Advances in Intelligent Systems and Computing, pp. 241–253 (2017)
Logoida, M., Havrysh, B., Anastasiya, D.: Determination of reproduction accuracy of dot area of irregular structure. Int. J. Inf. Eng. Electron. Bus. 10(1), 9–15 (2018). https://doi.org/10.5815/ijieeb.2018.01.02
Ganiev, O.Z., Petrenko, K.V., Sheremet, Y.E., Vakulovich, D.V., Krasny, V.A.: Organization of a seismological point of observation on the island of Zmeiny. Geophysical 33(2), 122–128 (2011) (in Ukrainian)
International Seismological Centre (ISC) (2017). http://www.isc.ac.uk/index.php. Accessed 05 June 2018
European-Mediterranean Seismological Centre (EMSC) (2017). https://www.emsc-csem.org. Accessed 08 May 2018
Blum, C.C., White, T.C., Sauter, E.A., Stewart, D.C., Bedrosian, P.A., Love, J.J.: Geoelectric monitoring at the Boulder magnetic observatory. Geosci. Instrum. Method. Data Syst. 6, 447–452 (2017). https://doi.org/10.5194/gi-6-447-2017
Yekini, N.A., Oloyede, A.O., Agnes, A.K., Okikiola, F.M.: Microcontroller-based automobile tracking system with audio surveillance using GPS and GSM module. Int. J. Inf. Eng. Electron. Bus. 8(3), 41–46 (2016). https://doi.org/10.5815/ijieeb.2016.03.05
Fuertes, D., Toledano, C., Gonzalez, R., Berjon, A., Torres, B., Cachorro, V.E., Frutos, A.M.D.: CAELIS: software for assimilation, management and processing data of an atmospheric measurement network. Geosci. Instrum. Method. Data Syst. 7, 67–81 (2018). https://doi.org/10.5194/gi-7-67-2018
Shakhovska, N., Kaminskyy, R., Zasoba, E., Tsiutsiura, M.: Association rules mining in big data. Int. J. Comput. 17(1), 25–32 (2018)
Shakhovska, N., Syerov, Y.: Web-community ontological representation using intelligent dataspace analyzing agent. In: Xth International Conference on the Experience of Designing and Application of CAD Systems in Microeletronics (CADSM-2009), pp. 479–480 (2009)
Shakhovska, N., Vysotska, V., Chyrun, L.: Features of e-learning realization using virtual research laboratory. In: XIth International Scientific and Technical Conference on the Computer Sciences and Information Technologies (CSIT), 2016, pp. 143–148 (2016)
Hu, Z., Mashtalir, S.V., Tyshchenko, O.K., Stolbovyi, M.I.: Clustering matrix sequences based on the iterative dynamic time deformation procedure. Int. J. Intell. Syst. Appl. 10(7), 66–73 (2018). https://doi.org/10.5815/ijisa.2018.07.07
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Kaminskyj, R., Shakhovska, N., Savkiv, L. (2020). The Primary Geo-electromagnetic Data Preprocessing Received from a Modified Geophysical Automatic Station. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_56
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