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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

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, Akad. Hlushkov av., Kyiv, 03680, Ukraine

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

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

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., Kyiv, 03187, Ukraine

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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8 Tikhonov A., Arsenin, V. Solution of ill-posed problems. Washington: V.H. Winston. 1977. 231 p.

9 Hansen, P.C. The truncated SVD as a method for regularization. BIT 27, (1987), 534-553.
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10 Rachkovskij D.A., Revunova E.G. Randomized method for solving discrete ill-posed problems. Cybernetics and Systems Analysis. 2012. Vol. 48, N. 4. P. 621-635.
https://doi.org/10.1007/s10559-012-9443-6

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/s10559-015-9791-0

15 Revunova E.G. Model selection criteria for a linear model to solve discrete ill-posed problems on the basis of singular decomposition and random projection. Cybernetics and Systems Analysis. 2016. Vol. 52, N.4. P.647-664.
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

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https://doi.org/10.1007/978-3-319-70581-1_31

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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

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https://doi.org/10.1109/TIT.2011.2162175

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https://doi.org/10.1007/BF02149761

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Received 04.10.2022

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

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, Acad. Glushkov av., Kyiv, 03187, Ukraine.

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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REFERENCES

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3 Xinglong Liu, Yicheng Li, Yong Wu, Zhiyuan Wang, Wei He and Zhixiong Li. A Hybrid Method for Inland Ship Recognition Using Marine Radar and Closed-Circuit Television. J. Mar. Sci. Eng. 2021, 9, 1199.
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7 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11384/113840H/Acoustic- spectrum-and-signature-analysis-on-underwater-radiated-noise-of/10.1117/12.2559664.pdf

8 Zhu C., Seri S.G., Mohebbi-Kalkhoran H. et al. Long-range automatic detection, acoustic signature characterization and bearing-time estimation of multiple ships with coherent hydrophone array. Remote Sensing, 2020. 12(22), 3731. https://www.mdpi.com/2072-4292/12/22/3731/pdf.
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https://doi.org/10.15407/csc.2020.04.035

11 Volkov O.Ye., Taranukha V.Yu., Linder Ya.M., Komar M.M., Volosheniuk D.O. Devising an acoustic method for investigation of a complex form object parameters. Cyb. and Comp. Eng. 2021. N 4 (206). 39-53.
https://doi.org/10.15407/kvt206.04.039

12 Shirman Y.D., Gorshkov S.A., Leshchenko S.P., Orlenko V.M., Sedyshev S.Y., Sukharevskiy O.I. Computer Simulation of Aerial Target Radar Scattering, Recognition, Detection, and Tracking. Boston – London: Artech house, 2002, 294 p.

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Received 25.08.2022

Issue 4 (210)

DOI:https://doi.org/10.15407/kvt210.04

View web version

TABLE OF CONTENTS:

Informatics and Information Technologies:

Surovtsev I.V., Komar M.M., Bogachuk Yu.P., Sieriebriakov A.K., Babak O.V.
Recognition of the Type of Marine Ship Based on Comparison with Normalized Reference Parameters of Radiolocation Signals

Revunova E.G., Tyshchuk O.V., Desiateryk O.O.
The Technology of the Stable Solution for Discrete Ill-posed Problems by Modified Random Projection Method

Intelligent Control and Systems:

Volkov O.Ye., Voloshenyuk D.O., Odarchenko R.S., Bondar S.O., Semenoh R.V., Shcherbina O.A.
Analysis of Multiple Input Multiple Output System Designs for Base Stations and 5g Wireless Network Mobile Apps

Medical and Biological Cybernetics:

Fainzilberg L.S.
Mobile Information Technology for Assessing the Adaptation Capabilities of the Human Body under Conditions of Increased Loads

Kutsiak O.A.
Mobile System for the Patient’s Motor Functions State Diagnostics

Issue 3 (209), article 5

DOI:https://doi.org/10.15407/kvt208.03.063

Cybernetics and Computer Engineering, 2022, 3(209)

KIFORENKO S.I., DSc (Biology), Senior Researcher,
Leading Researcher, the Department of Mathematical and Technical
Methods in Biology and Medicine
https://orcid.org/00000000-0001-2345-6789
e-mail: skifor@ukr.net

BELOV V.M., DSc (Medicine), Professor,
Head of the Department of Mathematical and Technical
Methods in Biology and Medicine
https://orcid.org/0000-80120001-9717
e-mail: motj@ukr.net

HONTAR T.M., PhD (Biology), Senior Researcher,
the Department of Mathematical and Technical
Methods in Biology and Medicine
https://orcid.org/0000-0002-9239-0709
e-mail: gtm_kiev@ukr.net

KOZLOVSKA V.O,
Researcher, the Department of Mathematical and Technical
Methods in Biology and Medicine
https://orcid.org/0000-0001-5898-1639
e-mail: vittoria13apr@gmail.com

OBELETS T.A., PhD student,
Junior Researcher, the Department of Mathematical and Technical
Methods in Biology and Medicine
https://orcid.org/0000-0002-9425-1470
e-mail: obel.tet@gmail.com

International Research and Training Centre
for Information
Technologies and Systems
of the NAS and MES of Ukraine,
40, Glushkov av., Kyiv, 03187, Ukraine

METHODOLOGICAL ASPECTS OF USING NORMOMETRICAL SCALING FOR MULTIDIMENSIONAL ASSESSMENT OF HEALTH RESERVES

Introduction. One of the directions of modern research in the field of digital medicine is the development of a methodological base for assessing, supporting and managing personal health. The use of the methodology of a systemic approach to solving biomedical problems is fundamental for the rational organization of scientific research at the stages of diagnosis, forecasting and correction of the health state of individuals and population groups.

Scientific research, which is aimed at the development of information technology for assessing personal health reserves of a practically healthy person based on indicators of physical and psychosocial status is relevant and oriented for use at the stages of pre-hospital diagnosis.

The purpose of the paperis to show the expediency of using methods of multidimensional hierarchical normometric scaling for quantitative assessment of the body’s health and its reserve capabilities for pre-clinical diagnosis and activation of adaptation in changing conditions of the external environment.

Results. An algorithm for calculating the norm index of various health indicators using normometric scaling  has been developed for multidimensional assessment of health reserves.

Information support for algorithms for calculating the range of the norm-index for natural and heuristic indicators of physical and psychosocial health status  has been developed for the needs of digital medicine.

Modules of the software-algorithmic complex “Health-Reserve” have been developed for multidimensional quantitative assessment of reserve capabilities of the human body and personality based on the norm-index scale system for information mobile technologies.

Conclusions. The algorithm for calculating the norm-index range for natural and heuristic indicators of physical and psycho-social health status makes it possible to increase the resolution of the indicators` reference zone that are taken into account in the human health assessment.

The development of computer modules for multidimensional quantitative assessment of the health and personality of a person based on norm-index scales makes it possible to automate and quickly collect data based on the results of examinations, analyze the diagnosed conditions dynamics and can be an effective tool for screening and monitoring the health of the population.  The use of mobile Android applications implemented by the developed technologies increases the quality of personal decision-making by the user due to the expansion of accessibility and increased efficiency in providing the necessary information for the organization of one’s life.

Keywords: normometric scaling, health reserves, health quantitative assessment, indicators norm-index, mobile applications.

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REFERENCES

1. Antomonov Yu.G., Belov V.M., Gritsenko V.I. et al. Open concept of health. Kyiv: Preprint, Institute of Cybernetics V.M. Glushkova, 1993. 27 p. (in Russian)

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3. Apanasenko G.L. Individual health: theory and practice of management, informational aspects. Medical informatics and engineering. 2009, no. 4, pp. 61-64. (in Russian)

4. Menatti L., Bich L., Saborido C. Health and environment from adaptation to adaptivity: a situated relational account. Biology and Philosophy. 2022, 31(2), pp. 237-265.
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5. Marakushin D.I., Chernobai L.V., Isayeva I.M. et al.. Functional reserves of the organism as an indicator of the effectiveness of regulatory processes that ensure the adaptation of the organism to the action of environmental factors. Ukrainian Journal of Medicine. Biology and Sports. 2020. Vol. 5, no. 1 (23), pp. 21-29. (in Ukranian)
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6. Cullati S., Kliegel M., Widmer E. Development of reserves over the life course and onset of vulnerability in later life. Nature Human Behaviour. 2018. 2(8), pp. 551-558.
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7. Folke K., Colding J., Berkes, F. Synthesis: formation of stability and adaptability in socio-ecological systems. Navigation of socio-ecological systems: building resilience to complexity and change. 2003. 9 (1), pp. 352-387.
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9. Sadikova A.B.Q. Valeology And Philosophy Of Life. The American Journal of Social Science and Education Innovations. 2021. 3(12), pp. 82-86.

10. Baevsky R.M. Evaluation of the adaptive capabilities of the body and the problem of restorative medicine. Bulletin of restorative medicine. 2004, no. 2, pp. 18-22. (in Russian)

11. Apanasenko G.L. Popova L.A., Maglovany A.V. Sanology. Fundamentals of health management. LAMBERT Academic Publishing, 2012. 404 p. (in Russian)

12. Lazurenko S.I., Biloshitsky S.V., Semenov A.M. Adaptation and adaptive capacity of people. Actual problems of training and development of people with special needs. 2014, no. 11, pp.194-207. (in Ukranian)

13. Kravchenko V.V. Information technology aspects of control and evaluation of physical health. Bulletin of the Kiev National University. Series Cybernetics. 2014, no. 1(14), pp. 27-32. (in Russian)

14. Istomin A.G., Tkachenko A.V. Modern methods and hardware-software complexes for assessing the adaptive capabilities and the level of health of the human body. Kharkov: Kharkov National Medical University, 2010. (in Russian)

15. Wasson C.S., Charles S. System engineering analysis, design, and development: Concepts, principles, and practices. JohnWiley&Sons, 2015.

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22. Antomonov M.Yu., Voloshchuk E.V. Construction of integral indicators of quantitative traits using one-dimensional and multidimensional statistical methods. Kibernetika i vycislitel’naa tehnika. 2012. Iss. 167, pp. 61-68. (in Russian)

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Received 03.06.2022

HOW TO CITE:
Kiforenko S.I., Belov V.M., Hontar T.M., Kozlovska V.O, Obelets T.A. Methodological Aspects of Using Normometrical Scaling for Multidimensional Assessment of Health Reserves. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 63-80.
https://doi.org/10.15407/kvt208.03.063

Issue 3 (209), article 4

DOI:https://doi.org/10.15407/kvt208.03.045

Cybernetics and Computer Engineering, 2022, 3(209)

KOVALENKO O.S.¹, DSc (Medicine), Professor,
Head of the Medical Information Technologies Department
https://orcid.org/0000-0001-6635-0124
e-mail: askov49@gmail.com

AVERYANOVA O.A.²,
Senior Lecturer, Faculty of Biomedical Engineering,
https://orcid.org/0000-0002-4536-2174
e-mail: olgaaveryanova@ukr.net

MARESOVA T.A.¹,
Junior Researcher of the Medical Information Technologies Department
https://orcid.org/0000-0002-4210-7426
e-mail: tamaresova@gmail.com

NENASHEVA L.V.¹,
Junior Researcher of the Medical Information Technologies Department
https://orcid.org/0000-0003-1760-2801
e-mail: larnen@ukr.net

KUPMAN L.O.²,
Student, Faculty of Biomedical Engineering,
e-mail: linakumpanbsn@gmail.com

DVORNITSKA D.O.²,
Student, Faculty of Biomedical Engineering,
e-mail: dvornitska.olena@lll.kpi.ua

¹International Scientific and Educational Center
of Information Technologies and Systems
NAS of Ukraine and MES of Ukraine,
40, Akad. Hlushkova av., Kyiv, 03187, Ukraine

²National Technical University of Ukraine
«Ihor Sikorsky Kyiv Polytechnic Institute»
37, Peremohy av., Kyiv, 03056, Ukraine

THE USE OF TELEMEDICINE TECHNOLOGIES TO CREATE A MEDICAL INFORMATION SYSTEM FOR MEDICAL AND SOCIAL CARE

Introduction. The use of digital medicine methods is becoming significantly urgent due to the COVID-19 pandemic, the current martial law in Ukraine, and the lack of medical equipment in some rural areas.

The same applies to providing medical care to the chronically ill. Such assistance includes social measures, which include care for the sick and disabled, provision of food etc. in addition to therapeutic and diagnostic measures. These measures are referred to as “medical and social care”.

The purpose of the paper is to apply the methods of digital medicine, which include telemedicine technologies in the construction of a medical information system model (MIS) to help chronic patients with telemedicine modules for the implementation of appropriate medical services in the hospital home settings.

Results. The types and methods of telemedicine technologies were analyzed, the diagram of business processes of the “Telemedicine” module was designed. The modules of the system were described with the specification of their realization, and the technical realization of the MIS for chronic care was carried out.  The technical requirements of the “Electronic prescription” module were described, and the diagrams for the tasks that are frequently used in practice were provided.

Conclusions. Based on the results of the analysis of capabilities and experience of using modern telemedicine systems, the architecture of medical information system for the medical and social care of patients was developed which covers the doctor and patient modules, united functionally by defined business processes with the performance of specific functions ( (online interaction between doctor and patient, issuing an electronic prescription etc.).

The use of the proposed MIS, which is made using a modern REST API platform for downloading files directly from clients, and an application implemented on the basis of the Waterfal method and the Python programming language, ensures the organization of the interaction of the medical staff with patients, in particular, the implementation of remote consultation and the provision of electronic prescriptions on based on entries in the patient’s electronic card.

Keywords: medical and social care, telemedicine technologies, medical information systems, electronic prescriptions

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Received 16.05.2022

HOW TO CITE:
Kovalenko O.S., Averyanova O.A., Maresova T.A., Nenasheva L.V., Kupman L.O., Dvornitska D.O. The use of telemedicine technologies to create a medical information system for medical and social care. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 45-63.
https://doi.org/10.15407/kvt208.03.045

Issue 3 (209), article 3

DOI:https://doi.org/10.15407/kvt208.03.033

Cybernetics and Computer Engineering, 2022, 3(209)

GRITCENKO V.I., Corresponding Member of the NAS of Ukraine,
Directorate Advisor
https://orcid.org/0000-0002-6250-3987
e-mail: vig@irtc.org.ua

SUKHORUCHKINA O.N., Senior Researcher,
System Information Technologies Department,
https://orcid.org//0000-0002-7441-6661
e-mail: sukhoru@irtc.org.ua

International 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, Akad. Glushkov av., Kyiv, 03187, Ukraine

FROM COMMAND CONTROL TO THE AUTONOMY OF MOBILE ROBOTS

Introduction.The urgent needs of the modern technological order and the development of intelligent information technologies, covering a wide range of scientific areas, have led to the emergence of new principles for the organization of robot control systems. The main goal of modern robotics is to minimize direct human involvement in the control loop when the robot performs tasks in a weakly deterministic non-stationary environment. Historically, robotics for such operating conditions has progressed from remote command control to autonomous systems with the possibility of supervision by human. The influence of intelligent control on increasing the degree of autonomy of service mobile robots is considered. The important subsystems in the organization of intelligent control systems for autonomous mobile robots and the objective difficulties of their practical implementation are shown.

The purpose of the paper is to discuss the influence of intelligent control on the level of autonomous capabilities of robots in dynamic and incompletely defined conditions and the objective difficulties of creating universal approaches to the implementation of autonomous service robots control systems.

Results. The ways of increasing the autonomous capabilities of mobile robots are considered. The role of the supervisory control principle on the way to reducing human participation in the processes of remote control of service robots is given.

Conclusions. The use of the proposed structural solutions of the service mobile robot intelligent control system and the methodology for organizing its activating subsystem made it possible to significantly increase the autonomous resources of the robot when performing complex tasks in a weakly deterministic nonstationary environment.

Keywords:autonomous mobile robot, intelligent control system, supervisory control

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21. Sukhoruchkina O.N. Activating subsystem of mobile robot intelligent control, Sbornik dokladov Vserossiyskoe nauchno-tekhnic. konferentsii “Ekstremalnaya robototekhnika” (Rossiya, Sankt-Peterburg, 25-26 sentyabrya), Izdatelstvo “Politekhnika-servis”, Sankt-Peterburg, 2012, pp. 101-105. (in Russian)

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23. Sukhoruchkina O.N. On parallel information processes of intelligent control of a mobile robot. Trudy XXI Mezhdunar. nauchno-tekhnic. konferentsii “Ekstremalnaya robototekhnika”. Sankt-Peterburg: Izdatelstvo “Politekhnika-servis”. 2010, pp. 338-340. (in Russian)

Received 06.06.2022

HOW TO CITE:
Gritcenko V.I., Sukhoruchkina O.N. From Command Control to the Autonomy of Mobile Robots. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 33-45.
https://doi.org/10.15407/kvt208.03.033

Issue 3 (209), article 2

DOI:https://doi.org/10.15407/kvt208.03.021

Cybernetics and Computer Engineering, 2022, 3(209)

STEPASHKO V.S., DSc (Engineering), Prof.,
Head of the Department of
Information Technologies of Inductive Modeling
https://orcid.org/0000-0001-7882-3208
e-mail: stepashko@irtc.org.ua

SAVCHENKO-SYNIAKOVA Ye.А., PhD (Engineering),
Senior Researcher,
the Department of Information Technologies of Inductive Modeling,
https://orcid.org/0000-0003-4851-9664
e-mail: savchenko_e@meta.ua

PIDNEBESNA H.А., PhD (Engineering), Researcher,
the Department of Information Technologies of Inductive Modeling
https://orcid.org/0000-0002-5735-9861
e-mail: pidnebesna@ukr.net

International 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, Akad. Hlushkov av., Kyiv, 03187, Ukraine

PROBLEM OF CONSTRUCTING AN ONTOLOGICAL METAMODEL OF ITERATIVE ITIRATIVE GROUP METHOD OF DATA HANDLING ALGORITHMS

Introduction. Data volumes are permanently increasing and some new approaches are needed for storage and processing them considering the development and improvement of modern computers. This puts forward new requirements to automatic data processing tools and intelligent systems for analyzing information with taking into account its semantics.

The advantage of iterative GMDH algorithms is that they are able to work with a large number of arguments. The generalized iterative GMDH algorithm includes various former modifications of these algorithms. For example, algorithms of multilayer and relaxation types as well as varieties of iterative-combinatorial (hybrid) algorithms are diverse particular cases of the generalized one.

Metamodeling is the construction of generalized models of a certain group of objects (software tools, mathematical models, information systems). An ontological metamodel of the iterative GMDH algorithms was built using the Protege tools in order to structure knowledge in this subject area.

The purpose of the paper is to analyze the developed iterative GMDH algorithms and propose an approach to structuring knowledge оn iterative GMDH algorithms by building an ontological metamodel of this subject area.

Results. A retrospective analysis of the developed iterative GMDH algorithms іs carried out in the paper, their advantages and disadvantages are indicated. It is shown that the generalized iterative algorithm, whose special cases are both known and new varieties of multilayer, relaxation and iterative-combinatorial GMDH algorithms, makes it possible to compare the effectiveness of various algorithms and solve real modeling problems. Based on the results of this study, an ontological metamodel of iterative GMDH algorithms has been developed.

Conclusions. The advantage of iterative GMDH algorithms is that they allow processing big data sets. The generalized iterative algorithm allows forming typical architectures of previously developed modifications of these algorithms when setting up various operating modes of this algorithm. The construction of an ontological metamodel based on this one allows structuring knowledge on the available iterative algorithms making it possible to automate the design and use of specialized software tools for specific applied tasks.

Keywords: inductive modeling, GMDH, iterative algorithms, mathematical model, metamodeling, subject area, ontology

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10 Savchenko Ye.A, Stepashko V.S.,. “Analysis of approaches to metalearning and metamodeling”. Inductive modeling of complex systems, Coll. sciences works. Kyiv: IRTCITS, 2017, Iss. 9, pp. 86-94 (In Ukrainian).

11 Pidnebesna H.A. Conceptual development of ontology for the design of inductive modeling. Inductive modeling of complex systems. Coll. sciences works. Kyiv: IRTCITS, 2013, 5, pp. 248-256 (In Ukrainian).

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13 Stepashko V., Bulgakova O., Zosimov V. Construction and Research of the Generalized Iterative GMDH Algorithm with Active Neurons. In: Advances in Intelligent Systems and Computing II. AISC book series, 2017, V. 689, Berlin: Springer, pp. 474-491.
https://doi.org/10.1007/978-3-319-70581-1_35

14 Pavlov A.V., Kondrashova N.V. On the Convergence of the Generalized Relaxation Iterative Algorithm for the Method of Group Consideration of Arguments. Upravlyayushchie Sistemy i Mashiny, 2012, no 3 (239), pp. 24-29, 38 (In Russian).

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20 Tyryshkin A.V., Andrakhanov A.A., Orlov A.A. GMDH-based Modified Polynomial Neural Network Algorithm”, Chapter 6 in Book GMDH-methodology and implementation in C (With CD-ROM). London: Imperial College Press, World Scientific, 2015, pp. 107-155.
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22 Stepashko V., Bulgakova O., Zosimov V.,. “Hybrid Algorithms for Self-Organizing Models for Predicting Complex Processes”. Inductive modeling of complex systems. Coll. sciences works. Kyiv: IRTCITS, 2010, pp. 236-246 (In Ukrainian).

23 Ivakhnenko A.G., Ivakhnenko G.A., Muller J.-A. Self-Organization of Neuronets with Active Neurons. Patt. Recognition and Image Analysis. 1994, 4 (4), pp. 177-188.

24 Bulgakova O.S., Stepashko V.S. Comparative Analysis of the Efficiency of Iterative GMDH Algorithms Using Computational Experiments. Visnyk CHDTU. 2011, no 1, pp. 41-44 (In Ukrainian).

Received 23.06.2022

HOW TO CITE:
Stepashko V.S., Savchenko-Syniakova Ye.А., Pidnebesna H.А. Problem of Constructing an Ontological Metamodel of Itirative Group Method of Data Handling Algorithms. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 21-33.
https://doi.org/10.15407/kvt208.03.021

Issue 3 (209), article 1

DOI:https://doi.org/10.15407/kvt208.03.005

Cybernetics and Computer Engineering, 2022, 3(209)

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

BOGACHUR Yu.P.¹ , PhD (Engineering),
Senior Researcher of the Intelligent Control Department
https://orcid.org/0000-0002-3663-350X
e-mail: dep185@irtc.org.ua

LINDER Ya.M.² , PhD (Phys&Math),
Docent of the Intelligent Software Systems Department
https://orcid.org/0000-0003-1076-9211
e-mail: dep185@irtc.org.ua

TARANUKHA V.Yu.², PhD (Phys&Math),
Assistant of Mathematical Informatics Department
https://orcid.org/0000-0002-9888-4144
e-mail: taranukha@ukr.net

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

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

²Taras Shevchenko National University of Kyiv,
Faculty of Computer Sciences and Cybernetics,
4d, Acad. Glushkova av., Kyiv, 03022, Ukraine

MEANS FOR A CLASSIFICATION TECHNOLOGY OF SYNTHETIC RADAR IMAGES OF OBJECTS HAVING COMPLEX SHAPES

Introduction. Currently, research into the synthesis of wave images of reflected sound and radio signals has been actively carried out, due to the fact a successful attempt to determine the type of an object for which there is such an image requires either a very large sample base or an intelligent recognition tool. An attempt is made to analyze and recognize the type of an object of a complex shape (using ships as example) with the aim of its further use in applied tasks such as creation of homing heads for anti-ship missiles.

The purpose of the paper is to simplify and speed up the process of classifying objects having complex shapes based on their reflected radar images. For this purpose, we consider synthesized images generated on the basis of facet models. Then, on the basis of synthesized images, recognition is performed using neural networks.

Results. It is shown that the method developed for recognition of synthesized images has high reliability, and allows for building of a technology in the future. The elaborated model of image generation provides for a possibility of conducting experiments exclusively in a digital form, making thereby expensive live experiments unnecessary.

Conclusions. Despite very good results from a mathematical point of view, and in spite of the available convenient tools, such as faceted models for creating radar images, the task still requires further research, since the final product (technology) must be applied in the area where the cost of an error is very high. As for now, the development of the neural network approach looks the most promising.

Keywords: facet model; remote sensing; underlying surface; radar image

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REFERENCES

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https://doi.org/10.15407/kvt206.04.039

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Received 27.05.2022

HOW TO CITE:
Volkov O.Ye. , Bogachuk Yu.P., Linder Ya.M., Taranukha V.Yu., Voloshenyuk D.O. Means for a Classification Technology of Synthetic Radar Images of Objects Having Complex Shapes. Cybernetics and Computer Engineering, 2022, no 3(209), pp.5-21.
https://doi.org/10.15407/kvt208.03.005

Issue 3 (209)

DOI:https://doi.org/10.15407/kvt208.03

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TABLE OF CONTENTS:

Informatics and Information Technologies:

Volkov O.Ye. , Bogachuk Yu.P., Linder Ya.M., Taranukha V.Yu., Voloshenyuk D.O.
Means for a Classification Technology of Synthetic Radar Images of Objects Having Complex Shapes

Stepashko V.S., Savchenko-Syniakova Ye.А., Pidnebesna H.А.
Problem of Constructing an Ontological Metamodel of Itirative Group Method of Data Handling Algorithms

Intelligent Control and Systems:

Gritcenko V.I., Sukhoruchkina O.N.
From Command Control to the Autonomy of Mobile Robots

Medical and Biological Cybernetics:

Kovalenko O.S., Averyanova O.A., Maresova T.A., Nenasheva L.V., Kupman L.O., Dvornitska D.O.
The Use of Telemedicine Technologies to Create a Medical Information System for Medical and Social Care

Kiforenko S.I., Belov V.M., Hontar T.M., Kozlovska V.O, Obelets T.A.
Methodological Aspects of Using Normometrical Scaling for Multidimensional Assessment of Health Reserves