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Cybernetics and Computer Engineering, 2023, 1(211)

ZOSIMOV V.V., DSc (Engineering), Associate Professor,
Professor of the Department of Applied Information Systems,
https://orcid.org/0000-0003-0824-4168,
e-mail: zosimovv@gmail.com

Taras Shevchenko National University of Kyiv,
60, Volodymyrska st., Kiyv, 01033, Ukraine

PROBABALISTIC APPROACH TO RANKING SEARCH RESULTS USING BAYESIAN BELIEF NETWORKS

Introduction. This paper proposes a probabilistic approach to ranking search results using Bayesian Belief Networks (BBN). The proposed approach utilizes BBN to model the relationships between search queries, web pages, and user feedback, and to calculate the probability of a web page being relevant to a specific query. The approach takes into account various factors, such as keywords, page relevance, domain authority, and user feedback to generate a ranking score for each search result.

The purpose of the article is to conduct an analysis on the feasibility of creating a search engine that uses BBNs and probabilistic ranking methods for improving the accuracy and efficiency of search results.

Results. The proposed approach was evaluated on a real-world dataset, and the results showed its effectiveness. Overall, the results suggest that the use of BBNs can provide a promising approach to enhancing search engine performance and user experience. The approach’s effectiveness is attributed to its ability to model and reason about uncertainty and dependencies among variables, and its consideration of various factors, such as keywords, page relevance, domain authority, and user feedback.

Conclusions. The proposed method has the potential to improve search relevance, reduce user frustration, and increase user satisfaction. However, further research is needed to optimize the proposed approach and to explore its applicability in different contexts. Overall, the study suggests that BBNs can provide a valuable tool for developing more effective and user-friendly search engines. Moreover, the use of Sphinx as a base search system shows promise in enabling the proposed approach to be integrated into practical search systems. Nonetheless, further research is needed to optimize the approach and evaluate its applicability in different contexts.

Keywords: search engine, ranking, Bayesian Belief Networks, probabilistic model, information retrieval.

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REFERENCES

1 Baeza-Yates, R., & Ribeiro-Neto, B. Modern Information Retrieval: The Concepts and Technology behind Search. Addison-Wesley Professional. 2011.

2 Sattari P. Bayesian deep reinforcement learning: A survey. Journal of Machine Learning Research. JMLR.org. 2020, Vol. 21, pp. 1-35.

3 Agichtein, E., Brill, E., & Dumais, S. Improving Web Search Ranking: Beyond the Query-Document Similarity. Synthesis Lectures on Information Concepts, Retrieval, and Services. 2006, Vol. 1(1), pp. 1-136.

4 Chau M. Spidering and Filtering Web Pages for Vertical Search Engines. Proceedings of The Americas Conference on Information Systems. AMCIS 2002 Doctoral Consortium, Dallas, TX, USA, 2002.

5 Zosimov V.V., Bulgakova O.S., Pozdeev V.O. Complex internet data management system. Advances in Intelligent Systems and Computing. AISC. 2021, Vol.1246, pp. 639-652.
https://doi.org/10.1007/978-3-030-54215-3_41

6 Pelt M. Uncertainty quantification in deep learning using Bayesian convolutional neural networks. Journal of Computer Vision. 2019, Vol. 126, pp. 617-635.

7 Zosimov. V.V., Bulgakova. O.S. Calculation the Measure of Expert Opinions Consistency Based on Social Profile Using Inductive Algorithms. Advances in Intelligent Systems and Computing. 2020. Vol. 1020. pp. 622-636.
https://doi.org/10.1007/978-3-030-26474-1_43

8 Bendersky, M., Croft, W. B., & Zhang, J. Predicting query performance via classification. Proceedings of the ACM Conference on Information and Knowledge Management (CIKM). 2010, pp. 79-88.

9 Hron J. Probabilistic programming for deep learning: A review. Machine Learning Research. 2018, Vol. 19, pp 1-41.

10 Gallego C. A review of Bayesian deep learning techniques and their application to computer vision problems. Big Data Analytics, IGI Global. 2018, pp. 11-25.

11 Guo C. Deep Bayesian active learning for neural networks. Journal of Machine Learning Research, JMLR.org. 2017, Vol. 18, pp. 1-47.

12 Sattari P. Bayesian deep reinforcement learning: A survey. Journal of Machine Learning Research, JMLR.org. 2020, Vol. 21, pp. 1-35.

13 Nalisnick M. Deep Bayesian neural networks with many irrelevant inputs. Proceedings of the 35th International Conference on Machine Learning. 2019, Vol. 97, pp. 1748-1757.

14 Official Sphinx search system site. URL: Sphinx http://www.sphinxsearch.com/

Received 23.01.2023

April 24, 2023June 29, 2023

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Issue 1 (211), article 2

DOI:https://doi.org/10.15407/kvt211.01.029

Cybernetics and Computer Engineering, 2023, 1(211)

KRYGIN V.M.¹, PhD Student,
Junior Researcher of Pattern Recognition Department,
https://orcid.org/0000-0002-9000-1685 ,
e-mail: valeriy.krygin@gmail.com

KHOMENKO R.O.²,
Programmer
https://orcid.org/0000-0001-7640-4077 ,
e-mail: ruslank3584@gmail.com

MATSELLO V.V.¹, PhD (Engineering), Senior Researcher,
Head of Pattern Recognition Department
https://orcid.org/0000-0001-7640-4077 ,
e-mail: matsello@gmail.com

¹International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, 40, Acad. Glushkova av., Kyiv, 03187, Ukraine

²Postindustria Inc.,
1935 Walgrove av., Los Angeles CA 90066, USA.

EXPERIMENTAL VERIFICATION OF THE SELF-DRIVEN ALGORITHMS FOR SOLVING MAX-SUM LABELING PROBLEMS

Introduction. Max-sum labeling problems play an essential role in modern pattern recognition and can be used with other methods and a stand-alone approach. An essential step in building a pattern recognition system is the choice of an algorithm to solve the problem, which may require experimentation with different algorithms. This fires a need for software that allows solving different problems with the help of different algorithms for further analysis of the results of experiments and the final selection of the algorithm.

The purpose of the paper is to demonstrate the capabilities of the developed software for solving max-sum labeling problems.

Results. The software containing various algorithms for solving max-sum labeling problems was developed and experimentally tested. The program operation is shown on the example of image processing problems based on labeling: color image restoration, binary image denoising, posterization and binocular stereo vision.

Conclusions. The software described in the article verifies in practice the correctness of the self-driven algorithm for solving max-sum labeling problems. The application allows the operator to choose an algorithm for the labeling task and configure its parameters. This program will be helpful for developers of computer vision systems based on labeling problems and under-graduates, graduate students, and researchers studying structural pattern recognition methods.

Keywords: labeling problems, pattern recognition, computer vision, software.

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Received 02.01.2023

April 24, 2023June 29, 2023

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Issue 1 (211), article 1

DOI:https://doi.org/10.15407/kvt211.01.005

Cybernetics and Computer Engineering, 2023, 1(211)

ODARCHENKO R.S.¹, DSc (Engineering), Professor, Head of the Telecommunication and Radio Electronic Systems Department
https://orcid.org/0000-0002-7130-1375 ,
e-mail: odarchenko.rs@ukr.net

BONDAR S.O.², PhD student, Acting Head of Intelligent Control Department, Researcher
https://orcid.org/0000-0003-4140-7985 ,
e-mail: seriybrm@gmail.com

SIMAKHIN V.M.², Ph.D. student, Researcher of Intelligent Control Department
https://orcid.org/0000-0003-4497-0925 ,
e-mail: thevladsima@gmail.com

SIERIEBRIAKOV A.K.², PhD student, Researcher of Intelligent Control Department
https://orcid.org/0000-0003-3189-7968 ,
e-mail: sier.artem1002@outlook.com

PINCHUK A.D.¹, Student
https://orcid.org/0000-0003-3567-0445 ,
e-mail: pinchuk.ad87@gmail.com

SAMOILENKO V.V.¹, Student
e-mail: vladss1954@gmail.com

STANKO P.O.³, DSc (Engineering), Associate Professor of the Information Technologies Department
https://orcid.org/0000-0001-5794-3593
e-mail: p_stanko@ukr.net

¹National Aviation University, 1, av. Lubomyra Huzara, 03058, Kyiv, Ukraine

²International Research and Training Center for Information Technologies and Systems of the NAS and MES of Ukraine, 40, av. Acad. Glushkov, 03680, Kyiv, Ukraine

³University of New Technologies, 5A, st. Metrobudivska, 03065, Kyiv, Ukraine

RESEARCH OF THE MAIN MEANS AND INTERMEDIATE RESULTS OF THE RUSSIAN-UKRAINIAN CYBERWAR: CYBERVOLUNTEER INITIATIVES

Introduction. This research paper examines the current state of cyberwarfare in the world. The issues regarding definition of the very term “cyberwar” are discussed. The historical beginning of the Russian-Ukrainian cyberwar, its course and current state are considered, as well as the main means of its conduct are examined. It has been determined that this cyberwar was the world’s first full-scale global cyberwar. The main attention is paid to the cybervolunteer IT army of Ukraine, which appeared in the course of this cyberwar and is successfully combating with the russian federation on the cyberfront.

The purpose of the article is to show the process of waging a real cyberwar today, the application of the means for its carrying out, and conduct a study of its intermediate results; using Ukraine as the example to show the efficiency and effectiveness of the work of cybervolunteer initiatives.

The results. An analysis of the main existing approaches to conducting cyberwarfare was carried out, and the types of cyberattacks that are most often used were determined. It has been determined which directions and means of conducting cyberspace the russian federation focuses on. The IT activities of the Ukrainian army were studied, the key areas of work were determined and their detailed classification was given. In the course of the study, the main indicators of the effectiveness of the cyberarmy of Ukraine were determined and statistical data on the work of key areas were collected, on the basis of which the efficiency, effectiveness and problems that arise during the fight on the cyberfront were analyzed.

Conclusions. For the first time, the process of waging the Russian-Ukrainian cyberwar was examined in detail, with an emphasis on the activities of cybervolunteer initiatives of Ukraine. Determining the key areas of their activity made it possible to investigate the effectiveness and determine the intermediate results of this cyberwar. After analyzing all the data, recommendations were made to improve efficiency and effectiveness in the fight on the cyberfront.

Keywords: cyberfront, cyberwar, approaches to waging cyberwars, cyberweapons, Russian-Ukrainian cyberwar, cybervolunteer initiatives, IT Army of Ukraine.

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Received 20.11.2022

April 24, 2023May 21, 2023

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Issue 1 (211)

DOI: https://doi.org/10.15407/kvt211.01

View web version

TABLE OF CONTENTS:

Informatics and Information Technologies:

Odarchenko R.S., Bondar S.O., Simakhin V.M., Sieriebriakov A.K., Pinchuk A.D., Samoilenko V.V., Stanko P.O.
Research of the Main Means and Intermediate Results of the Russian-Ukrainian Cyberwar: Cybervolunteer Initiatives

Krygin V.M., Khomenko R.O., Matsello V.V.
Experimental Verification of the Self-Driven Algorithms for Solving Max-Sum Labeling Problems

Zosimov V.V.
Probabilistic Approach to Ranking Search Results using Bayesian Belief Networks

Intelligent Control and Systems:

Bondar S.O.
Usage of high-frequency positioning of the hybrid unmanned aerial vehicle for automatic location adjustment under limited location circumstances

Chepizhenko V.I., Pavlova S.V., Skyrda I.I.
Trajectory Movement Control of Unmanned Aerial Vehicles in a Swarm

Medical and Biological Cybernetics:

Kovalenko O.S., Kozak L.M., Kryvova O.A., Bychkov V.V. Nenasheva L.V.
Application of Classification Models by Data Mining and Information Technology for Analyze the Results of Treatment of Cardiac and Diabetic Patients

Information Notices: Outstanding Scientists of Ukraine

Volkov O.Ye., Shepetukha Yu.M., Pavlova S.V., Bogachur Yu.P.
To 90th Anniversary of Professor Vadim Pavlov: A Concise Review of the Main Results for 50 years of Scientific Activity

December 12, 2022April 25, 2023

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Issue 4 (210), article 5

DOI:https://doi.org/10.15407/kvt210.04.080

Cybernetics and Computer Engineering, 2022, 4(210)

KUTSIAK O.A., PhD (Engineering),
Senior Researcher of the Bioelectrical Control & Medical Cybernetics Department
https://orcid.org/0000-0003-2277-7411
e-mail: spirotech85@ukr.net

International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and the Ministry of Education and Science of Ukraine,
40, Akad. Hlushkov av., Kyiv, 03187, Ukraine

MOBILE SYSTEM FOR THE PATIENT’S MOTOR FUNCTIONS STATE DIAGNOSTICS

Introduction. The diagnostics of motor functions state plays an important role both as a result of the central nervous system impairments (stroke etc.) and as a result of injuries, traumas, etc. As mobile devices expand the possibilities of modern medicine, the actual task is the synthesis of an effective mobile system for the motor functions state diagnosing at various stages of rehabilitation.

The purpose of the paper is to develop a mobile system for personalized motor functions diagnostics for their and speech motility rehabilitation, which functional capabilities contribute to the rehabilitation effectiveness increasing and usability both in clinical and home conditions, as well as in the fields conditions.

The results. The recovery of motor and speech functions, in particular for persons after injuries and traumas, as well as usage by the patient at home, put forward requirements for personalization, mobility, ease of perception and usability of information given to the user.

According to the requirements, the interface of mobile system for the motor function diagnostics was developed: set of user tasks was defined, scenario was developed for the patient to test own motor functions within the mobile system. The relation database’s infologic model has been developed for the storage and accumulation of patients’ motor functions data and following analysis by a physician.

The algorithm for personalized motor functions diagnosing has been developed. It is based on expanded range of evidence criteria are not taken into account by known analogues. The algorithm is implemented in the MovementTestStroke 1.2 mobile system with taking into account the interface and relation database. Such a system provides objectification of assessment, reduction of the probability of a physician’s error and urgency in diagnostic and treatment decisions-making, provides necessary and sufficient information to the user in a convenient digital and graphical forms, simplifies for the physician the motor functions state analyzing and the personalized treatment strategy creating.

Conclusions. The mobile system for motor function diagnostics can be used in clinical, home and field conditions, not only to assess the motor functions state affected by central nervous system pathologies, but also by injuries and traumas, etc., which creates the basis for personalized, mobile, urgent diagnostic and treatment decisions-making by the physician.

Keywords: diagnostics, motor functions, quantitative assessment, criteria, algorithm, software system, mobile system, stroke, injuries

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Received 30.09.2022

December 12, 2022April 25, 2023

admin

Issue 4 (210), article 4

DOI:https://doi.org/10.15407/kvt210.04.060

Cybernetics and Computer Engineering, 2022, 4(210)

FAINZILBERG L.S., DSc (Engineering), Professor,
¹Chief Researcher of the Intelligent Automatic Systems Department,
²Professor of the Department of Biomedical Cybernetics
https://orcid.org/0000-0002-3092-0794
e-mail: fainzilberg@gmail.com

¹International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and the Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., Kiyv, 03187, Ukraine

²National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute»
37, Peremogy av., Kiyv, 03056, Ukraine

MOBILE INFORMATION TECHNOLOGY FOR ASSESSING THE ADAPTATION CAPABILITIES OF THE HUMAN BODY UNDER CONDITIONS OF INCREASED LOADS

Introduction. An important role in assessing the body’s adaptive reserves under conditions of physical and emotional stress is played by information obtained with the help of special tests. Such tests should be convenient enough to quickly obtain the result, including at home and in the field.

The purpose of the paper is to develop the principles of building mobile IT for the operational assessment of the adaptive capabilities of the human body in the field and at home and the implementation of IT on a smartphone.

Methods. To assess tolerance to physical and emotional stress, a cognitive graphical image is constructed that integrally characterizes the regulatory patterns of changes in the physiological parameters of the heart rate, calculated in three states: at rest, at the height of the load and during restitution.

Results. It is shown that reliable information about the pulse wave (finger photoplethysmogram) during testing can be obtained using the built-in camera of a smartphone without additional technical means based on the developed original computational procedures that provide for the selection of reliable and unreliable cycles. To manage the physical load on the internal processor of the smartphone, a virtual teacher animation procedure is implemented, which demonstrates the correct technique and sets the required pace of the load. The emotional load management module is based on the Stroop effect and boils down to doing mental work under time pressure. The experiments confirmed that the cognitive graphic image makes it possible almost instantly to identify physiological indicators that demonstrate an inadequate response of the body to the load and rest after it.

Conclusions. The developed technology for assessing the adaptive capabilities of the human body under conditions of increased physical and emotional stress provides reliable testing in the field and at home, and the test results can be interpreted by a person without special medical education.

Keywords: information technology on a smartphone, regulatory patterns, body tolerance to physical and emotional stress.

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Received 16.09.2022

December 12, 2022April 25, 2023

admin

Issue 4 (210), article 3

DOI:https://doi.org/10.15407/kvt210.04.038

Cybernetics and Computer Engineering, 2022, 4(210)

VOLKOV O.Ye.¹, PhD (Engineering), Leading Researcher,
Director
https://orcid.org/0000-0002-5418-6723
e-mail: alexvolk@ukr.net

VOLOSHENYUK D.O.¹, PhD (Engineering),
Senior Researcher of the Intelligent Control Department
https://orcid.org/0000-0003-3793-7801
e-mail: p-h-o-e-n-i-x@ukr.net

ODARCHENKO R.S.², DSc (Engineering),
Head of the Telecommunication and Radio-electronic Systems Department
https://orcid.org/0000-0002-7130-1375
e-mail: odarchenko.r.s@ukr.net

BONDAR S.O.¹, PhD student,
Researcher of the Intelligent Control Department
https://orcid.org/0000-0003-4140-7985
e-mail: seriybrm@gmail.com

SEMENOH R.V.¹, PhD student,
Junior Researcher of the Intelligent Control Department
https://orcid.org/0000-0002-6714-0644
e-mail: ruslansemenog20@icloud.com

SHCHERBINA O.A.², DSc (Engineering), Associate Professor,
Professor of the Department of Electronics, Robotics, Monitoring and
Internet of Things Technologies
https://orcid.org/0000-0002-6058-2749
e-mail: shcherbyna_ol@nau.edu.ua

²National Aviation University,
1, Lubomyr Husar av., Kyiv, 03058, Ukraine.

ANALYSIS OF MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM DESIGNS FOR BASE STATIONS AND 5G WIRELESS NETWORK MOBILE APPS

Introduction. Because of the fast technological development, cellular connection networks are becoming such type of the network domain that could support several frequency ranges of different cellular generations and it needs to have an optimal antenna design structure to have the most efficient signal receiving. So the multiple input multiple output (MIMO) antennas were chosen as the most appropriate instrument to operate at 5G mobile networks. According to purpose, all 5G cellular connection antenna systems could be relatively divided into two types: base station antenna systems and antennas for mobile apps. In one’s turn, dependently from the frequency range, each of defined types include two subgroups, such as: lower than 6 GHz and higher than 6 GHz. 5G base station MIMO antenna systems for the range that is lower than 6 GHz are often integrating to the 4G antenna systems that simplifies its accomplishment and its placing on the cell tower.

Purpose of the paper is to discover good decoupling and carrying capacity securing in moderate dimensions of the antenna elements during the antenna designing for the 5G mobile apps. 5G system architecture depends on universal antenna design for the millimeter range tasks solving. One of such tasks is large losses overcome on the way of millimeter wave spreading at the free space that weaken signal power significantly.

Results of the research is in definition of the most efficient decoupling and carrying capacity support of the MIMO antenna system. Total dimensions, compact location and optimal work parameters are also reasons for the best MIMO antenna system design definition for its usage for the 5G wireless network mobile applications.

Conclusion. The most optimal structure design for MIMO antenna system could be a real step forward at cellular technologies. Using advantages of all previous network generations, the brand new MIMO wireless antenna system have abilities to work with minimal losses and in the most flexible and frequency-optimal way ever. Development also demonstrates influence of the dimensions on the base station block location and universality of its usage complexly with antennas of, practically, any possible design.

Keywords: cellular network, base stations, multiple input multiple output, 5G.

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Received 16.08.2022

December 12, 2022April 25, 2023

admin

Issue 4 (210), article 2

DOI:https://doi.org/10.15407/kvt210.04.026

Cybernetics and Computer Engineering, 2022, 4(210)

E.G. REVUNOVA¹, DSc (Engineering),
Leading Researcher, Department of Neural Information Processing Technologies
e-mail: egrevunova@gmail.com

O.V. TYSHCHUK²,
Senior Software Engineer,
e-mail: avtyshcuk@gmail.com

O.O. DESIATERYK³, PhD (Phys&Math),
Assistant Professor, Faculty of Mechanics and Mathematics,
e-mail: sasha.desyaterik@gmail.com

²Roku Inc., Kyiv, Ukraine,

³Taras Shevchenko National University of Kyiv, 4e, Ave Glushkov, Kyiv, 03127, Ukraine

THE TECHNOLOGY OF THE STABLE SOLUTION FOR DISCRETE ILL-POSED PROBLEMS BY MODIFIED RANDOM PROJECTION METHOD

Introduction. Ill-posed problems solution is actual for many areas of science and technology. For example, discrete ill-posed problems (DIP) appears after discretization of the integral equations in the spectrometry, gravimetry, magnitometry, electrical prospecting and others.

In the case of linear DIP the matrix, which model some measuring system, makes a linear transformation of input vector to the output vector. Usually DIP output vector contains noise and singular values series of the matrix smoothly decrease to zero. In this case, the solution (input vector estimation) using the inversion of the transformation matrix is unstable and inaccurate. To overcome instability and increase accuracy we use regularization methods.

We develop an approach which uses regularizing properties of random projection to obtain a stable solution of DIP. However, the development of effective sustainable methods for solving DIP continues to be a problem of current interest.

The purpose of the paper is to increase the accuracy of DIP solution by the random projection method.

Results. In this paper we developed the method of stable solution of DIP by the modified method of random projection. For this modification the regularization by random projection is complemented by the regularization in the ridge regression style.

For the our method we obtained expressions which connect in the direct way the solution error components with the matrix specter and the regularization parameter. For the developed method the experimental research of the accuracy is conducted on the test problems.

Conclusions. The modified method of random projecting is characterized by stability and increased accuracy of the solution. This achieved by simultaneous ridge regression style regularization and random projecting. The representation of the solution error in the form where error components are related to the matrix specter and regularization parameter is important for further study of the error.

Keywords: random projection method, simultaneous ridge regression, regularization, stable solution, discrete ill-posed problems.

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REFERENCES

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11 Revunova EG, Rachkovskij DA, Stable transformation of a linear system output to the output of system with a given basis by random projections, The 5th Int. Workshop on Inductive Modelling (IWIM’2012), Kyiv, 2012, p. 37-41 (in Russian).

12 Revunova EG, Randomization approach to the reconstruction of signals resulted from indirect measurements, Proc. 4th International Conference on Inductive Modelling (ICIM’2013), Kyiv, 2013, p. 203-208 (in Russian).

13 Revunova E.G., Tyshchuk A.V. A model selection criterion for solution of discrete ill-posed problems based on the singular value decomposition, The 7th International Workshop on Inductive Modelling (IWIM’2015), Kyiv-Zhukyn, 2015, p.43-47(in Russian).

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https://doi.org/10.1007/s10559-016-9868-4

16 Revunova E.G. Averaging over matrices in solving discrete ill-posed problems on the basis of random projection. Proc. CSIT’17. 2017. Vol. 1. P. 473 – 478.
https://doi.org/10.1109/STC-CSIT.2017.8098831

17 Revunova E.G. Solution of the Discrete ill-posed problem on the basis of singular value decomposition and random projection. Advances in Intelligent Systems and Computing II. Cham: Springer. 2017. P. 434-449.
https://doi.org/10.1007/978-3-319-70581-1_31

18 Revunova E.G. Improving the accuracy of the solution of discrete ill-posed problem by random projection. Cybernetics and Systems Analysis. 2018. Vol. 54, N 5. P. 842-852 (in Russian).
https://doi.org/10.1007/s10559-018-0086-0

19 Revunova E.G., Tyshcuk O.V., Desiateryk О.О. On the generalization of the random projection method for problems of the recovery of object signal described by models of convolution type. Control Systems and Computers. 2021. N 5-6. P. 25-34.
https://doi.org/10.15407/csc.2021.05-06.025

20 Tyshchuk O.V., Desiateryk O.O., Volkov O.E., Revunova E.G., Rachkovskij D.A., A linear system output transformation for sparse approximation. Cybernetics and Systems Analysis. 2022. Vol. 58, N. 5. P. 840-850.
https://doi.org/10.1007/s10559-022-00517-3

21 Marzetta T., Tucci G., Simon S. A random matrix-theoretic approach to handling singular covariance estimates. IEEE Trans. Information Theory. 2011. Vol. 57, N 9. P. 6256-6271.
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23 Rachkovskij D.A, Revunova E.G. Intelligent gamma-ray data processing for environmental monitoring. In: Intelligent data analysis in global monitoring for environment and security. Kiev-Sofia: ITHEA. 2009. P. 124-145.

Received 04.10.2022

December 12, 2022April 25, 2023

admin

Issue 4 (210), article 1

DOI:https://doi.org/10.15407/kvt210.04.003

Cybernetics and Computer Engineering, 2022, 4(210)

SUROVTSEV I.V., DSc (Engineering), Senior Researcher,
Head of the Digital Ecological Monitoring Systems Department
https://orcid.org/0000-0003-1133-6207
e-mail: igorsur52@gmail.com

KOMAR M.M., PhD (Engineering),
Deputy Director for Scientific and Organizational Work,
https://orcid.org/0000-0001-9194-2850
e-mail: nickkomar08@gmail.com

BOGACHUK Yu.P., PhD (Engineering),
Senior Researcher, Intelligent Control Department
https://orcid.org/0000-0002-3663-350X
e-mail: dep185@irtc.org.ua

SIERIEBRIAKOV A.K., PhD Student,
Researcher of Intelligent Control Department
https://orcid.org/0000-0003-3189-7968
e-mail: sier.artem1002@outlook.com

BABAK O.V., PhD (Engineering),
Senior Researcher of the Digital Ecological Monitoring Systems Department,
https://orcid.org/0000-0002-7451-3314
e-mail: dep115@irtc.org.ua

RECOGNITION OF THE TYPE OF MARINE SHIP BASED ON COMPARISON WITH NORMALIZED REFERENCE PARAMETERS OF RADIOLOCATION SIGNALS

Introduction. The problem of marine ship types recognition remains relevant because it primarily focuses on the safety of sea and inland navigation. The basis of the identification of the type of marine ship is the use of training samples – a set of reference normalized parameters of mathematical models of radar portraits of reflected signals, recorded in the database, for which the type of ship is reliably known.

The purpose of the paper is to develop a method for recognizing the type of surface marine ship by comparing the parameters of the radar portrait of the reflected signal of the radar object with the reference parameters of the signals of mathematical models of known types of marine ships.

Methods. The recognition method is based on comparison of the normalized parameters of the radar signal of the object with the normalized parameters of the mathematical models of the database references through a full search, after which a decision is made in favor of the type of marine ship for which the overall measure of inconsistency or the identification criterion is minimal. The identification criterion is the sum of dimensionless features, which are a measure of similarity in the chosen metric of the parameters regarding reference object.

Results. Testing of the developed recognition method on examination samples made it possible to identify the type and real orientation angle of the ship at the level of 83%, as well as to identify the types and recognize the orientation angles of marine ships at the level of 96%.

Conclusions. The new method of recognition of the type of marine ship is characterized by the use of insignificant computing power, high speed of analysis, compactness of the reference database, high reliability and accuracy of recognition. Determination of auxiliary alternative values of the identification of the type and orientation angle of the ship helps in the dynamic mode of observation to statistically specify the characteristics of the recognition of the ship. The developed method of recognizing the type of ship can be used in the military sphere, its use in radar systems will improve the safety of sea and inland navigation.

Keywords: recognition method, identification, type of marine ship, radar portrait of reflected signal.

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23 Method for histogram digital filtration of chrono-potentiometric data: patent 96367, Ukraine: IPC (2006) G01N 27/48. Surovtsev I.V., Galimova V.M., Babak O.V.: a201005608; claimed 11.05.10; published 25.10.11, Bull. 20 (in Ukrainian).-201.

Received 25.08.2022

December 12, 2022February 6, 2023

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