UDC 550.34
METHODOLOGY FOR RECONSTRUCTING DYNAMIC SERIES TO REDUCE DETAILING INTERVAL
V. A. Minaev, Doctor in Technical Sciences, Professor, Professor of Special Information Technology Department
at the Moscow Order of Honor University of the Internal Affairs Ministry of Russia named after
V.Ya. Kikot;
orcid.org/0000-0002-5342-0864, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. O. Faddeev, Doctor in Technical Sciences, Associate Professor, Professor of the Economic Security Department
at the Ryazan Branch at the Moscow Order of Honor University of the Internal Affairs Ministry of
Russia named after V.Ya. Kikot;
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. V. Koryachko, PhD (in technical sciences), Associate Professor, Professor of Mathematics and Information
Technologies Department at the Academy of the Federal Penitentiary Service of Russia;
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. V. Mokshantsev, PhD (in technical sciences), Associate Professor, Head of the Information Technology
Department at the Academy of the State Fire Service of the Ministry of Emergency Situations of Russia;
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The author's methodology of restoring monthly values of quantitative feature based on its quarterly data
is presented. The sequential stages of methodology are described using the example of seismic events flow
analysis in Greater Caucasus system and adjacent territories for the period of 2003-2023. The procedure for
estimating monthly values of a feature based on its initial quarterly data and their further transformation
into real values is described. A criterion for the typologization of monthly seismic events is proposed and the
results of comparing the calculated values of a feature with its actual values are presented. The conclusion
about the effectiveness of the methodology is made.
Key words: dynamic series, seismic events, reconstruction, cubic spline, Fourier transform, amplitudefrequency spectrum.