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Journal Neurocomputers №4 for 2024 г.
Article in number:
Development of a geoacoustic database management system: technologies and practical aspects
Type of article: scientific article
DOI: https://doi.org/10.18127/j19998554-202404-01
UDC: 004.021
Authors:

A.V. Khrypchenko1, A.Yu. Vyrodov2

1,2 Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy (Novosibirsk, Russia)

1 ahrypchenko@yandex.ru, 2 g47711@gmail.com

Abstract:

The development of a geoacoustic database management system aims to ensure efficient storage, processing and access to this data. Taking into account the requirements of users in geophysics and geology, the system was created to provide prompt and electronic access to information for scientific research. This article discusses systems for automating the management of specified volumes of data in geoacoustics problems using the Spring framework, the Highcharts visualization library and the MySQL database. The results include a tool we developed to quickly search, analyze and visualize geoacoustic data to improve the quality of scientific research and make informed decisions. The practical originality of this system is manifested in increasing the productivity and quality of work of specialists in the field of geophysics and geology, reducing the time for data processing and increasing the efficiency of activities in the field of geoacoustic research.

Pages: 5-17
For citation

Khrypchenko A.V., Vyrodov A.Yu. Development of a geoacoustic database management system: technologies and practical aspects. Neurocomputers. 2024. V. 26. № 4. Р. 5-17. DOI: https://doi.org/10.18127/j19998554-202404-01 (In Russian)

References
  1. Drach V.E., Rodionov A.V., Chukhraeva A.I. The choice of the database management system for the information system of industrial enterprise. Electromagnetic waves and electronic systems. 2018. V. 23. № 3. P. 71–80. (In Russian)
  2. Marapulets Yu.V., Senkevich Yu.I., Lukovenkova O.O., Solodchuk A.A., Larionov I.A., Mishchenko M.A., Malkin E.I., Shcherbina A.O., Gapeev M.I. Complex analysis of acoustic and electromagnetic signals to assess the level of seismic hazard. Vladivostok: Dalnauka. 2020. 120 p. (In Russian)
  3. Kholodkov K.I., Aleshin I.M. Exact calculation of a posteriori probability distribution with distributed computing systems. Computer Research and Modeling. 2015. V. 7. № 3. P. 539–542.
  4. Johansson E. The sound amplifying forest with emphasis on sounds from wind turbines. Göteborg: Chalmers. 2010. 97 p.
  5. Bendat J.S., Piersol A.G. Random Data: Analysis and Measurement Procedures. New York: Wiley. 2011. 640 p.
Date of receipt: 28.05.2024
Approved after review: 17.06.2024
Accepted for publication: 26.07.2024