Development of a Method To Improve the Reliability of Assessing the Condition of the Monitoring Object in Special Purpose Information Systems

European Journal of Enterprise Technologies, 2(3 (116), 6–14, 2022. doi:10.15587/1729-4061.2022.254122

9 Pages Posted: 31 May 2022

See all articles by Oleg Sova

Oleg Sova

Military Institute of Telecommunications and Informatization named after Heroes of Kruty

Hryhorii Radzivilov

Military Institute of Telecommunications and Informatization named after Heroes of Kruty

Andrii Shyshatskyi

Central Scientific Research Institute of the Army of the Armed Forces of Ukraine - Research Department of Electronic Warfare Development

Pavel Shvets

Odessа Polytechnic State University

Valentyna Tkachenko

National Transport University

Serhii Nevhad

The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Oleksandr Zhuk

Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Serhii Kravchenko

National Aviation University

Bohdan Molodetskyi

Research Institute of the Ministry of Defense of Ukraine

Hennadii Miahkykh

Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Date Written: April 28, 2022

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.

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

Suggested Citation

Sova, Oleg and Radzivilov, Hryhorii and Shyshatskyi, Andrii and Shvets, Pavel and Tkachenko, Valentyna and Nevhad, Serhii and Zhuk, Oleksandr and Kravchenko, Serhii and Molodetskyi, Bohdan and Miahkykh, Hennadii, Development of a Method To Improve the Reliability of Assessing the Condition of the Monitoring Object in Special Purpose Information Systems (April 28, 2022). European Journal of Enterprise Technologies, 2(3 (116), 6–14, 2022. doi:10.15587/1729-4061.2022.254122, Available at SSRN: https://ssrn.com/abstract=4115908

Oleg Sova (Contact Author)

Military Institute of Telecommunications and Informatization named after Heroes of Kruty ( email )

Moskovska str., 45/1
Kyiv, 01011

Hryhorii Radzivilov

Military Institute of Telecommunications and Informatization named after Heroes of Kruty ( email )

Moskovska str., 45/1
Kyiv, 01011

Andrii Shyshatskyi

Central Scientific Research Institute of the Army of the Armed Forces of Ukraine - Research Department of Electronic Warfare Development ( email )

Ukraine

Pavel Shvets

Odessа Polytechnic State University ( email )

Shevchenko ave., 1
Odessa, 65044
Ukraine

Valentyna Tkachenko

National Transport University ( email )

1 Suvorov St.
Kyiv, 01010
Ukraine

Serhii Nevhad

The National Defence University of Ukraine named after Ivan Cherniakhovskyi ( email )

Povitroflotskyi ave., 28
Kyiv, 03049
Ukraine

Oleksandr Zhuk

Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty ( email )

Moskovsky str., 45/1
Kyiv, 01011
Ukraine

Serhii Kravchenko

National Aviation University ( email )

Liubomyra Huzara ave., 1
Kyiv, 03058
Ukraine

Bohdan Molodetskyi

Research Institute of the Ministry of Defense of Ukraine ( email )

Yuri Ilyenko, str., 81
Kyiv, 04050
Ukraine

Hennadii Miahkykh

Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty ( email )

Moskovsky str., 45/1
Kyiv, 01011
Ukraine

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