Development of a method to improve the reliability of assessing the condition of the monitoring object in special-purpose information systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.254122

Keywords:

special-purpose information systems, efficiency of information processing, computing power

Abstract

The peculiarities of modern military conflicts significantly increase the requirements for the efficiency of object state assessment. Therefore, it is necessary to develop algorithms (methods and techniques) that can assess the state of the monitoring object from different sources of intelligence for a limited time and with a high degree of reliability. Accurate and objective object analysis requires multi-parameter estimation with significant computational costs. That is why the following tasks were solved in the study: the formalization of the assessment of monitoring objects was carried out, a method of increasing the efficiency of assessing the condition of monitoring objects was developed and an efficiency assessment was carried out. The essence of the proposed method is the hierarchical hybridization of binary classifiers and their subsequent training.

The method has the following sequence of actions: determining the degree of uncertainty, constructing a classifier tree, determining belonging to a particular class, determining object parameters, pre-processing data about the object of analysis and hierarchical traversal of the tree.

The novelty of the method lies in taking into account the type of uncertainty and noise of the data and taking into account the available computing resources of the object state analysis system. The novelty of the method also lies in the use of combined training procedures (lazy training and training procedure for evolving neural networks) and selective use of system resources by connecting only the necessary types of detectors.

The method allows you to build a top-level classifier using various low-level schemes for combining them and aggregating compositions. The method increases the efficiency of data processing by 12–20 % using additional advanced procedures

Author Biographies

Oleg Sova, Military Institute of Telecommunications and Informatization named after Heroes of Kruty

Doctor of Technical Sciences, Senior Researcher, Head of Department

Department of Automated Control Systems

Hryhorii Radzivilov, Military Institute of Telecommunications and Informatization named after Heroes of Kruty

PhD, Associate Professor, Deputy Head of the Institute for Research

Andrii Shyshatskyi, Central Scientifically-Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine

PhD, Senior Researcher, Senior Research Fellow

Research Department of Electronic Warfare Development

Pavel Shvets, Odessа Polytechnic National University

PhD, Associate Professor

Department of Power Supply and Energy Management

Valentyna Tkachenko, National Transport University

PhD, Associate Professor

Department of Transport Law and Logistics

Serhii Nevhad, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD

Language Testing Research Center

Educational and Research Center for Foreign Languages

Oleksandr Zhuk, Military Institute of Telecommunications and Informatization named after Heroes of Kruty

Doctor of Technical Sciences, Associate Professor, Head of Department

Department of Information Security in Telecommunication Systems and Networks

Serhii Kravchenko, National Aviation University

PhD, Associate Professor

Department of Software Engineering

Bohdan Molodetskyi, Research Institute of the Ministry of Defense of Ukraine

PhD, Head of Department

Research Department

Hennadii Miahkykh, Military Institute of Telecommunications and Informatization named after Heroes of Kruty

Lecturer

Department of Automated Control Systems

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Published

2022-04-28

How to Cite

Sova, O., Radzivilov, H., Shyshatskyi, A., Shvets, P., Tkachenko, V., Nevhad, S., Zhuk, O., Kravchenko, S., Molodetskyi, B., & Miahkykh, H. (2022). Development of a method to improve the reliability of assessing the condition of the monitoring object in special-purpose information systems . Eastern-European Journal of Enterprise Technologies, 2(3 (116), 6–14. https://doi.org/10.15587/1729-4061.2022.254122

Issue

Vol. 2 No. 3 (116) (2022): Control processes

Section

Control processes

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Copyright (c) 2022 Oleg Sova, Hryhorii Radzivilov, Andrii Shyshatskyi, Pavel Shvets, Valentyna Tkachenko, Serhii Nevhad, Oleksandr Zhuk, Serhii Kravchenko, Bohdan Molodetskyi, Hennadii Miahkykh

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