Innovative Methods of Parallelized Transmission and Processing of Measurement Information Based on Using Constructive Finite Field Theory

Authors

  • Sergey S. Kukushkin JSC Military Engineering Corporation
  • Leonid S. Kukushkin JSC Ryazan Production and Technical Enterprise
  • Makhov F. Sergeevich Belgorod State National Research University
  • Marina V. Golovko Belgorod State National Research University

DOI:

https://doi.org/10.52575/2687-0932-2025-52-3-735-744

Keywords:

measurement data uncertainty, distortions caused by interference, data processing, constructive finite field theory, residual class system, regularization of incorrect problems

Abstract

The article is devoted to the development of new methods for transmitting and processing measurement information, which requires that the following contradictions should be resolved. The volumes of transmitted and received measurement information are rapidly increasing, which is associated with the growing needs of science and technology. Meanwhile, the conditions in which measurements are carried out are considerably worsening, the errors of measuring devices and systems do not meet the requirements, and the intensity of interference background is increasing. At the same time, the possibilities of increasing the main indicators of measurement efficiency at the expense of hardware are limited, and the reserves of used methods are exhausted. In this situation, the main hope for increase of accuracy and reliability of measurements appears to be connected with processing of the received information. But, as it often happens, the existing methods and technologies of experimental data processing are also unable to correct the obtained results. Therefore, there is a need to develop unusual (non-traditional) mathematical methods of measurement data processing, which is the subject of this article.

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Author Biographies

Sergey S. Kukushkin, JSC Military Engineering Corporation

Doctor of Technical Sciences, Professor, Honored Inventor of the Russian Federation, Leading Researcher at the JSC Military Engineering Corporation, Korolev, Moscow region, Russia
E-mail: adaptermetod@mail.ru

Leonid S. Kukushkin, JSC Ryazan Production and Technical Enterprise

Researcher at JSC Ryazan Production and Technical Enterprise, Ryazan, Russia
E-mail: leofrontier@gmail.com

Makhov F. Sergeevich, Belgorod State National Research University

Master's Student of the Department of Information and Telecommunication Systems and Technologies, Belgorod State National Research University, Belgorod, Russia
E-mail: 1fmakhov@gmail.com

Marina V. Golovko, Belgorod State National Research University

Assistant at the Department of Information and Telecommunication Systems and Technologies, Belgorod State National Research University, Belgorod, Russia
E-mail: golovko_m@bsuedu.ru

References

Список литературы

Акушский И.Я., Юдицкий Д.И. 1968. Машинная арифметика в остаточных классах. М.: Сов. Радио, 140.

Кнут Д. 1977. Искусство программирования для ЭВМ. Т. 2 Получисленные алгоритмы. М.: Мир, 724. Кукушкин С.С. 2000. Конечные поля и информатика. в 2-х томах, т. 1. Методы и алгоритмы, классические и нетрадиционные, основанные на использовании конструктивной теоремы об остатках. М.: МО РФ, 260.

Кукушкин С.С., Гладков И.А., Чаплинский В.С. 2008. Методы и информационные технологии контроля состояния динамических систем. М.: МО РФ, 328.

Романец Ю.В., Тимофеев П.А., Шаньгин В.Ф. 1999. Защита информации в компьютерных системах и сетях. М.: Радио и связь, 328.

Торгашев В.А. 1973. Система остаточных классов и надёжность ЦВМ. М.: Сов. Радио, 120. Сухорученко Б.И., Меньшиков В.А. 1995. Методы анализа характеристик летательных аппаратов. М.: Машиностроение, 368.

Фалеев О.В. 2015. Принципы реализации параллельной обработки измерительной информации. Вестник РГРТУ, № 54. Часть 2: 23–37.

Roy B. 1959. Transitivité et connexité. C. R. Acad. Sci. Paris. 249: 216–218.

Wilkinson B., Allen M. 2005. Parallel programming techniques and applications using networked workstations and parallel computers. Pearson Education, 468.

References

Akushsky I.Ya., Yuditsky D.I. 1968. Machine Arithmetic in Remainder Classes. Moscow: Sov. Radio, 140. Knuth D. 1977. The Art of Computer Programming. Vol. 2. Seminumerical Algorithms. Moscow: Mir, 724. Kukushkin S.S. 2000. Finite Fields and Computer Science. in 2 volumes, vol.1. Methods and algorithms,classical and non-traditional, based on the use of the constructive remainder theorem. M.: MO RF, 260.

Kukushkin S.S., Gladkov I.A., Chaplinsky V.S. 2008. Methods and information technologies of monitoring the state of dynamic systems. M.: MO RF, 328.

Romanets Yu.V., Timofeev P.A., Shangin V.F. 1999. Information protection in computer systems and networks. M.: Radio and communication, 328.

Torgashev V.A. 1973. The System of Remainder Classes and the Reliability of the Computer. Moscow: Sov. Radio, 120.

Sukhoruchenko B.I., Menshikov V.A. 1995. Methods of Aircraft Characteristics Analysis. Moscow: Mashinostroenie, 368.

Faleev O.V. 2015. Principles of implementing parallel processing of measurement information. Vestnik RGRTU, No. 54. Part 2: 23–37.

Roy B. 1959. Transitivité et connexité. C. R. Acad. Sci. Paris. 249: 216–218.

Wilkinson B., Allen M. 2005. Parallel programming techniques and applications using networked workstations and parallel computers. Pearson Education, 468.


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Published

2025-09-30

How to Cite

Kukushkin, S. S., Kukushkin, L. S., Sergeevich, M. F., & Golovko, M. V. (2025). Innovative Methods of Parallelized Transmission and Processing of Measurement Information Based on Using Constructive Finite Field Theory. Economics. Information Technologies, 52(3), 735-744. https://doi.org/10.52575/2687-0932-2025-52-3-735-744

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Section

INFOCOMMUNICATION TECHNOLOGIES

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