Development of a methodological approach for processing different types of data in systems of special purpose

Authors

DOI:

https://doi.org/10.15587/2706-5448.2021.243950

Keywords:

different data types, decision making support systems, data processing, data transmission systems

Abstract

The object of research is intelligent decision making support systems. Processing different types of intelligence from a variety of information sources requires significant computational operations with strict time constraints. It leads to the search for new scientific approaches to the processing of various types of geospatial information to increase the efficiency of special purpose systems. This work solves the problem of developing a methodological approach to processing different data types in decision making support systems.

During the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. The proposed methodological approach was developed taking into account the practical experience of the authors of this work during the military conflicts of the last decade.

The results of the research will be useful in:

– development of new algorithms for processing different types of data;

– substantiation of recommendations for improving the efficiency of processing various data types;

– analysis of the operational situation during the hostilities (operations);

– creating promising technologies to increase the efficiency of processing various data types;

– assessment of the adequacy, reliability, sensitivity of the scientific and methodological apparatus of processing various data types;

– development of new and improvement of existing simulation models of various processing data types.

Areas of further research will be aimed at developing a methodology for processing various data types in intelligent decision making support systems.

Author Biographies

Vitalii Fedoriienko, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Senior Researcher

Research Department of Information Technology Development Problems

Centre for Military Strategic Studies

Oleksandr Koshlan, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Leading Researcher

Scientific and Methodical Department of Analysis and Forecast of Educational Activity

Scientific and Methodological Centre for Organization and Coordination of Educational Activity

Serhii Kravchenko, National Aviation University

PhD, Associate Professor

Department of Software Engineering

Andrii Shyshatskyi, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Senior Researcher

Research Department of Electronic Warfare Development

Nataliia Vasiukova, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Head of Department

Department of Peacekeeping Personnel Training

Multinational Staff Officer Training and Research Centre

Oleksandr Trotsko, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

PhD, Associate Professor

Department of Automated Control Systems

Oksana Havryliuk, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Researcher

Scientific Center

Oleksandr Sovik, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Head of Department

Scientific and Research Department

Scientific Center

Oleksandr Alieinik, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Institute for Support of Troops (Forces) and Information Technologies

Yurii Svyryda, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Institute for Support of Troops (Forces) and Information Technologies

References

  1. Makridenko, L. A., Volkov, S. N., Khodnenko, V. P. (2010). Kontseptualnye voprosy sozdaniya i primeneniya malykh kosmicheskikh apparatov. Voprosy elektromekhaniki, 114, 15–26.
  2. Shyshatskyi, A. V., Bashkyrov, O. M., Kostyna, O. M. (2015). Rozvytok intehrovanykh system zviazku ta peredachi danykh dlia potreb Zbroinykh Syl. Naukovo-tekhnichnyi zhurnal “Ozbroiennia ta viiskova tekhnika”, 1 (5), 35–40.
  3. Trotsenko, R. V., Bolotov, M. V. (2014). Data extraction process for heterogeneous sources. Privolzhskii nauchnyi vestnik, 12-1 (40), 52–54.
  4. Bodianskyi, E. V., Strukov, V. M., Uzlov, D. Yu. (2017). Generalized metrics in the problem of analysis of multidimensional data with different scales. Zbirnyk naukovykh prats Kharkivskoho natsionalnoho universytetu Povitrianykh Syl, 3 (52), 98–101.
  5. Petras, V., Petrasova, A., Jeziorska, J., Mitasova, H. (2016). Processing UAV and lidar point clouds in grass GIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B7, 945–952. doi: http://doi.org/10.5194/isprs-archives-xli-b7-945-2016
  6. Polovina, S., Radic, B., Ristic, R., Milcanovic, V. (2016). Spatial and temporal analysis of natural resources degradation in the Likodra River watershed. Glasnik Sumarskog Fakulteta, 114, 169–188. doi: http://doi.org/10.2298/gsf1614169p
  7. Poryadin, I., Smirnova, E. (2017). Binary Classification Method of Social Network Users. Science and Education of the Bauman MSTU, 17 (2), 121–137. doi: http://doi.org/10.7463/0217.0000915
  8. Tymchuk, S. (2017). Methods of Complex Data Processing from Technical Means of Monitoring. Path of Science, 3 (3), 4.1–4.9. doi: http://doi.org/10.22178/pos.20-4
  9. Semenov, V. V., Lebedev, I. S. (2019). Processing of signal information in problems of monitoring information security of unmanned autonomous objects. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 19 (3), 492–498. doi: http://doi.org/10.17586/2226-1494-2019-19-3-492-498
  10. Zhou, S., Yin, Z., Wu, Z., Chen, Y., Zhao, N., Yang, Z. (2019). A robust modulation classification method using convolutional neural networks. EURASIP Journal on Advances in Signal Processing, 2019 (1). doi: http://doi.org/10.1186/s13634-019-0616-6

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Published

2021-12-07

How to Cite

Fedoriienko, V., Koshlan, O., Kravchenko, S., Shyshatskyi, A., Vasiukova, N., Trotsko, O., Havryliuk, O., Sovik, O., Alieinik, O., & Svyryda, Y. (2021). Development of a methodological approach for processing different types of data in systems of special purpose. Technology Audit and Production Reserves, 6(2(62), 18–24. https://doi.org/10.15587/2706-5448.2021.243950

Issue

Vol. 6 No. 2(62) (2021): Information and control systems

Section

Systems and Control Processes: Reports on Research Projects

License

Copyright (c) 2021 Vitalii Fedoriienko, Oleksandr Koshlan, Serhii Kravchenko, Andrii Shyshatskyi, Nataliia Vasiukova, Oleksandr Trotsko, Oksana Havryliuk, Oleksandr Sovik, Oleksandr Alieinik, Yurii Svyryda

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