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Issue 3 (205), article 5

DOI:https://10.15407/kvt205.03.084

Cybernetics and Computer Engineering, 2021, 3(205)

YERMAKOVA I.I., Full Professor, DSc (Biology),
Leading Researcher of Complex Research
of Information Technologies Department
ORCID: 0000-0002-9417-1120
e-mail: irena.yermakova@gmail.com

BOGATONKOVA A.I., Ph.D. (Engineering),
Senior Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0002-7536-5958
e-mail: bogatonkova@gmail.com

NIKOLAENKO A.Yu., Ph.D. (Engineering),
Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0002-2402-2947
e-mail: n_nastja@ukr.net

TADEEVA Yu.P., Ph.D. (Engineering), Senior Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0001-5418-2848
e-mail: jbest0207@gmail.com

HRYTSAIUK O.V.,,
Junior Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0002-9019-4894
e-mail: olegva11@gmail.com

SOLOPCHUK Yu.M.,
Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0001-9712-6045
e-mail: jul.bast@gmail.com

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

M-HEALTH TECHNOLOGY FOR THE FORECAST OF THE HUMAN CONDITION IN EXTREME ENVIRONMENTAL CONDITIONS

Introduction. Rapidly evolving Mobile health (m-health) includes mobile phones, patient monitors, personal digital assistants, and other wireless devices for tracking certain data, such as fitness level, heart rate, medication dosage, sleep cycles, and more. This helps patients control their health, which is important in the face of growing medical shortages. Devices and applications help healthcare providers make visits / appointments and collect patient data.

An important means of person-centered is the creation of combined information and computer systems that allow patients to independently monitor vital indicators of their own health, and doctors – to monitor the health of patients remotely and analyze the results of monitoring using mobile applications for timely and effective adjustment of treatment and prevention measures.

The purpose of the article is to develop m-health technology to assess the risk of deterioration of human health in extreme environmental conditions. To do this, a computer module for determining the impact of the environment on the thermal state of man has been developed.

Conclusions. The use of a complex method of modeling in combination with modern computer technology makes it possible to study the processes of heat exchange between humans and the environment, given the huge number of many regulatory reactions and physiological processes.

The technology takes into account more than 490 indicators of man and environment, including: anthropometric data, anatomical parameters, biophysical characteristics, basic physiological characteristics, human adaptive properties, environmental characteristics and duration of human stay in selected conditions.

The developed m-health technology for forecasting the human condition in extreme environmental conditions is a program based on a set of mathematical models of human thermoregulation, which makes it possible to determine a number of important physiological factors. The main task of the program is to prevent damage to human health in extreme environmental conditions during exercise. The application makes it possible to predict the dynamics of thermoregulatory physiological reactions of a person during heat.

The mobile application issues a conclusion about the danger or safety of the planned physical activity under the given environmental conditions.

Keywords: simulation, computer module, extreme impact, environment

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REFERENCES
1. Abdulaev V.G., Askerov T.K., Chuba I.V. Mobilnyie prilozheniya dlya zdorovya [Tekst]. Radioelektronika i informatika. – 2014. – T. 1, No 64.

2. M. McCarthy, P. Spachos, “Wellness assessment through environmental sensors and smartphones”, Communications (ICC) 2017 IEEE International Conference on, pp. 1-6, 2017.
https://doi.org/10.1109/ICC.2017.7997416

3. I. Khudetskyy., Yu. Antonova-Rafi “Development of the module for data processing psycho-physiological indicators based on the Android OS” Materials of the XII International Scientific and Methodical Conference “Physical Education in the Context of Modern Education,” Kyiv, pp.115-116, 2016.

4. O. Hotra; O. Boyko; T. Zyska “Improvement of the operation rate of medical temperature measuring devices” SPIE Proceedings, – Vol. 92914, pp. 92910A, 2014.
https://doi.org/10.1117/12.2070167

5. R.Holyaka, N.Kostiv “Energy-efficient signal converters of thermocouple, temperature sensors” Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Srodowiska, pp. 26-28, 2011.

6. Yermakova I., Nikolaienko A., Tadeieva J., Bogatonkova A., Solopchuk Y., Gandhi O., Computer model for heat stress prediction during physical activity. Proceedings of the 40th International scientific conference electronics and nanotechnology. Institute of Electrical and Electronics Engineers, Kyiv, Ukraine, 22-24 April 2020. – P. 569-573
https://doi.org/10.1109/ELNANO50318.2020.9088846

7. Hrytsenko V., Nikolaienko A., Solopchuk Y., Yermakova I., Regan M. Dynamics of Physiological Responses during Long Distance Run: Modelling. Proceedings of the 38th International scientific conference electronics and nanotechnology. Institute of Electrical and Electronics Engineers, Kyiv, Ukraine, 24-26 April 2018, – pp. 439-442. ISBN 978-1-5386-6382-0. doi:10.1109/ELNANO.2018.8477470.
https://doi.org/10.1109/ELNANO.2018.8477470

8. Dorosh N., Ilkanych K., Kuchmiy H., Boyko I., Yermakova I, Dorosh O., Voloshyn D. Measurement modules of digital biometrie medical systems based on sensory electronics and mobile-health applications. Proceedings of the 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). IEEE, Slavske, Ukraine, 20-24 February 2018, – pp. 687-691. doi:10.1109/TCSET.2018.8336294.
https://doi.org/10.1109/TCSET.2018.8336294

9. Dorosh N., Ilkanych K., Hrytsenko V., Yermakova I, Bogatonkova A., Dorosh O. Mobile Infocommunication System for Adaptive Analysing of the Biomedical Indicators and Signals. International Scientific and Practical Conference “Problems of Infocommunications. Science and Technology”, Kharkiv, Ukraine, 9-12 October 2018.
https://doi.org/10.1109/INFOCOMMST.2018.8631893

Received 03.06.2021

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Issue 3 (205), article 4

DOI:https://10.15407/kvt205.03.070

Cybernetics and Computer Engineering, 2021, 3(205)

DANILOVA V.A.1,
Senior Teacher of the Biomedical Engineering Department
ORCID: 0000-0003-3009-6421
e-mail: valnaa@ukr.net

SHLYKOV V.V.1, DSc (Engineering), Associate Professor,
Нead of the Biomedical Engineering Department
ORCID: 0000-0001-8836-4658
e-mail: v.shlykov@kpi.ua

DUBKO A.G.2, PhD (Engineering), Associate Professor,
Researcher of Department of Welding and Related
Technologies in Medicine and Ecology
ORCID: 0000-0001-6070-3945
e-mail: ndreyies17@gmail.com

1National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” 37, . Peremogy av., Kyiv, 03056, Ukraine

2 “E.O. Paton Electric Welding Institute” 11, Kazimir Malevich str., Kyiv, 03150, Ukraine

DETERMINATION OF PARAMETERS OF INFLUENCE OF HIGH FREQUENCY CURRENT ON LIVING TISSUES

Introduction. High-frequency electric welding of biological tissues is an effective method of treatment in surgery. This is an electrosurgical method that minimizes the possibility of the destructive effect of electric current on soft living tissues. The welding method is widely used in general surgery for joining soft tissues where a weld is created when a high frequency electric current is passed through the tissue. With this method, it is possible to carry out serious operations, such as welding of liver tissue, retina, resection of tumor tissue and many other operations. For operations in surgery, it is important to know the optimal parameters of HF- welding, such as welding temperature, mechanical stress on tissues, welding time and voltage.

The purpose of the article is to determinate the optimal conditions for high-frequency welding of living tissues, such as welding temperature, mechanical stress on tissues, welding time and voltage. To determine these parameters, the liver tissue fusion was simulated in the Sinda and Comsol software.

Results. As a result of modeling and research, model dependencies were obtained that determine the optimal parameters of high-frequency welding for performing surgical operations for resection and welding of liver tissue. In the place of direct contact of the electrodes with the tissue, the temperature does not exceed +70 ° C, and at a distance of 2 mm in the adjacent tissues does not exceed +50 °C, which provides a tissue-preserving electrosurgical effect.

Conclusions. The studies have shown that mathematical modeling of heating biological tissue by a split electrode, through which a high-frequency current passes, practically coincides with a real experiment. The optimal conditions for high-frequency welding of living tissues obtained as a result of modeling, such as welding temperature and welding time make it possible to reduce the recovery period after applying the HF-welding method by choosing the optimal coagulation modes.

Keywords: welding of biological tissues, mathematical modeling, temperature, liver, surgery, modeling in Sinda, modeling in Comsol

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REFERENCES
1. Lebedev, A.V., Dubko, A.G. Use of Electric Welding of Living Tissues in Surgery (review). Biomed Eng.2020, 54, pp.73-78.
https://doi.org/10.1007/s10527-020-09977-3

2. Molotkovets, V.Y., Medvediev, V.V., Korsak, A.V. et al. Restoration of the Integrity of a Transected Peripheral Nerve with the Use of an Electric Welding Technology. Neurophysiology. 2020, 52, pp. 31-42 (2020).
https://doi.org/10.1007/s11062-020-09848-3

3. Vazina, A.A., Vasilieva, A.A., Lanina, N.F. et al. Study of molecular and nanostructural dynamics of biological tissues under the influence of high-frequency electrosurgical welding. Bull. Russ. Acad. Sci. Phys. 2013, 77, pp.146-150.
https://doi.org/10.3103/S1062873813020391

4. Paton B.E., Lebedev V.K., Lebedev A.V. et al. Method for welding soft tissues of animals and humans: RU229417. Application number: 2003135514/14. Publication date: 2007.02.27

5. Shlykov Vladyslav, Kotovskyi Vitalii, Dubko Andrey, Visniakov, Nikolaj, Sesok Andzela. Temperature monitoring for high frequency welding of soft biological tissues: A prospective study. Technology and Health Care, 2019, vol. Pre-press, no. April, pp. 1-7.
https://doi.org/10.3233/THC-191613

6. Astrium. SINDA User Manual, ver. 3.2., 2003, 895 p.

7. COMSOL Multiphysics Reference Manual, ver.5.5, 2019, 1742 p.

8. Sydorets, V., Dubko, A. The current distribution in the electrodes of electrosurgical instruments during welding of biological tissues. Eastern-European Journal of Enterprise Technologies. 2015, 3(5), pp. 24-28.
https://doi.org/10.15587/1729-4061.2015.43372

9. Sydorets, V., Lebedev, A., Dubko, A. Mathematical modeling of the current density distribution in a high-frequency electrosurgery. Proceedings – 2015 16th International Conference on Computational Problems of Electrical Engineering, CPEE , 2015, pp. 215-217.
https://doi.org/10.1109/CPEE.2015.7333379

10. Dubko, A., Sydorets, V., Bondarenko, O. Simulation of the Temperature Distribution with High-Frequency Electrosurgical Heating. 38th International Conference on Electronics and Nanotechnology (ELNANO – 2018), Kyiv, Ukraine. 2018, p. 394-397.
https://doi.org/10.1109/ELNANO.2018.8477555

11. Zoya Popovic, Branko D. Popovic. Introductory Engineering Electromagnetics. Prentice Hall, 1999, 548 p.

12. Vazina, A.A., Lanina, G. S. Marinsky et al. Influence of high-frequency electrosurgical welding on the functional stability of the structure of biological tissues. Welding of soft living tissues. Current state and development prospects: materials of the Sixth International Seminar: edited by O. N. Ivanova. Kyiv: E.O. Paton Electric Welding Institute, 2011. p. 53.

13. MSC Sinda 2017 User’s Guide: ID DOC11364. MSC Software Corporation. 2017, 451 p.

14. Vitaliy B., Maksymenko V., Danilova A., Shlykov V. The Discrete Model for the System of the Myocardium and Coronary Vessels. KPI Science News.2017, No 1, pp. 54-60.
https://doi.org/10.20535/1810-0546.2017.1.90044

Received 05.04.2021

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Issue 3 (205), article 3

DOI:https://10.15407/kvt205.03.052

Cybernetics and Computer Engineering, 2021, 3(205)

ARALOVA N.I.1, DSc (Engineering), Senior Researcher,
Senior Researcher of Optimization of Controlled Processes Department
ORCID: 0000-0002-7246-2736
e-mail: aralova@ukr.net

KLYUCHKO O.M.2, PhD (Biology), Associate Professor,
Associate Professor of Air Navigation Faculty
ORCID: 0000-0003-4982 7490
e-mail: kelenaXX@nau.edu.ua

MASHKIN V.I.1, PhD (Engineering),  Senior Researcher,
Senior Researcher of Optimization of Controlled Processes Department
ORCID: 0000-0002-4479-6498
e-mail: mashkin_v@ukr.net

MASHKINA I.V. 3, PhD (Engineering), Associate Professor,
Associate Professor of Information Technology and Management Faculty
ORCID: 0000-0002-0667-5749
e-mail: mashkina@kubg.edu.ua

RADZIEJOWSKI P.A. 4, DSc (Biology), Professor,
Professor of Management Faculty, Innovations
and Safety Management Systems Department
ORCID: 0000-0001-8232-2705
e-mail: pawel.radziejowski@pcz.pl

RADZIEJOWSKA M.P. 4, DSc (Biology), Professor,
Professor of Management Faculty, Innovations
and Safety Management Systems Department
ORCID: 0000-0002-9845-390X
e-mail: maria.radziejowska@pcz.pl

1 V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, 40, Acad.Glushkov av., Kyiv, 03680, Ukraine

2 Electronics and Telecommunications National Aviation University, 1, Lubomyr Huzar av., Kyiv, 03058, Ukraine

3 Borys Grinchenko Kyiv University, 18/2, Bulvarno-Kudriavska str., Kyiv, 04053, Ukraine,

4 Czestochowa University of Technology 19b, Armii Krajowej str., 42-200, Częstochowa, Poland

MATHEMATICAL MODEL OF CONFLICT-CONTROLLED PROCESSES IN SELF-ORGANIZATION OF RESPIRATORY SYSTEM

Introduction. Various processes going in surrounding environment are controlled, i. e. their states are determined depending on the specific influence of controlling party. At the same time, it is natural to try to choose the optimal controlling influence that would be the best in comparison with other possible controlling methods. Intensive development of the theory of optimal solutions with computers use has obtained the ability to perform complex calculations and realize the rules of control due to the development of computational technology.

The problem of identifying and studying of the nature of self-organization mechanisms of processes going in organism, the disclosure of the laws of control that operate in it actually arises during the investigation of living systems. Problem solution of self-organization process knowing for these controlled objects should be carried out using the methods of mathematical modeling. Peculiarities of setting problems of control for functionally-organized systems can be conveniently examined on the example of processes going in living organism when the achievement of certain goals is ensured.

The purpose of the article is to create the mathematical model of functional respiratory system for the investigation of self-organization mechanisms in human organism in response to extreme disturbances.

Methods. The usual nonlinear differential equations are used for process description; they describe the mass transfer and mass exchange of respiratory gases flowing along all their ways in organism.

Results. Mathematical model of functional respiratory system has been developed to study the current functional state and to predict the mechanisms of self-organization of respiratory system in adapting to the disturbing influences of external and internal environment based on the problem of optimal control and taking into account the conflict situation between the self-regulating organs – controlling and executing.

Conclusions. Mathematical model of functional self-organization of respiratory and blood circulatory systems is proposed, which takes into account the interaction and inter-influence of organism functional systems, conflict situations between controlling and executive elements of self-regulation; it is based on the assumption of optimal regulation of oxygen regimes. The model may be useful for solving a number of applied problems of physiology and medicine.

Keywords: Functional respiratory system, controlled dynamic system, self-organization of respiratory system, operators of continuous interaction system, disturbing influence of environment.

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7. Duffin, J. Model validation and control issues in the respiratory system. Mathematical Modeling and Validation in Physiology Lecture Notes in Mathematics, eds J. J. Batzel, M. Bachar, F. Kappel (Berlin; Heidelberg; Springer), 2013, pp.133-162.
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8. Fincham W. F., Tehrani F. T. A mathematical model of the human respiratory system.
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17. Capoccia M., Marconi S., Singh S.A., Pisanelly D.M., De Lazzari C. Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis. BioMed Eng OnLine. 2018, 17, 52 . https://doi.org/10.1186/s12938-018-0491-7
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Received 27.05.2021

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Issue 3 (205), article 2

DOI:https://10.15407/kvt205.03.026

Cybernetics and Computer Engineering, 2021, 3(205)

CHABANIUK V.S.1, 2, PhD (Phys.-Math.),
Senior Researcher of the Cartography Department, Institute of Geography,
Director of “Intelligence systems-GEO” LLC
ORCID: 0000-0002-4731-7895
email: chab3@i.ua, chab@isgeo.kiev.ua

KOLIMASOV I.M.2,
Head of Production of “Intelligence systems-GEO” LLC
ORCID: 0000-0002-4927-4200
email: kolimasov@ukr.net

1 Institute of Geography, National Academy of Sciences of Ukraine 44, Volodymyrska str., Kyiv, 01054, Ukraine

2 “Intelligence systems-GEO” LLC, 6/44, Mykilsko-Slobidska str., Kyiv, 02002, Ukraine

CRITICAL SYSTEMIC PROPERTIES OF ELECTRONIC ATLASES NEW GENERATION. PART 2: RESEARCH RESULTS

Introduction. Part 2 discusses three critical systemic properties (CSP) of electronic atlases (EA) new generation. With their help fundamentally new, systemic EA are determined. Compared with classic systems, new EA have much more opportunities to model spatial systems of actuality.

The purpose of the article is to describe and prove the criticality of three CSP for a new generation of EA — systemic EA.

Results. Three CSP are described: CSP.System, CSP.Tree, CSP.View. CSP.System means that systemic EA should be models of spatial systems of actuality. These models are primary in contrast to the classic EA models, which are secondary. CSP.Tree means that the contents/solutions tree of the systemic EA must classify the modeled spatial system of actuality. CSP.View should model the visualization needs of users, in particular through interactivity. The methods of Conceptual Frameworks and Solutions Frameworks of Relational cartography, as well as facts from Model-Based Engineering were used for proof.

Conclusions. Three CSP of systemic EAs are described and it is proved that each of them is a necessary property of EA new generation.

Keywords: electronic atlases new generation, critical systemic property, Conceptual Framework, Solutions Framework, Relational cartography.

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Received 22.03.2021

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Issue 3 (205), article 1

DOI:https://10.15407/kvt205.03.005

Cybernetics and Computer Engineering, 2021, 3(205)

GRITSENKO V.I.1, Corresponding Member of NAS of Ukraine,
Director of 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
ORCID: 0000-0003-4813-6153
e-mail: vig@irtc.org.ua

GLADUN A.Ya.1, PhD (Engineering),
Senior Researcher of the Department of Complex Research of Information Technologies and Systems
ORCID: 0000-0002-4133-8169
e-mail: glanat@yahoo.com

KHALA K.O.1,
Researcher of the Department of Complex Research of Information Technologies and Systems
ORCID: 0000-0002-9477-970X
e-mail: cecerongreat@ukr.net

Martínez-Béjar R.2, PhD (Informatics),
Professof at the Department of Information and Communication Engineering
ORCID: 0000-0002-9677-7396
e-mail: rodrigo@um.es

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

2 Department of Information and Communication Engineering and Artificial Intelligence University of Murcia CP 30180 Bullas, Spain

SEMANTICAL SIMILARITY EVALUATION METHOD OF CONCEPTS FOR COMPARISON OF ONTOLOGIES IN APPLIED PROBLEMS OF ARTIFICIAL INTELLIGENCE

Introduction. The expediency of reapplication of ontology in applied intelligent information systems (IIS), which are focused on functioning in the open Web environment on the basis of Semantic Web technologies, is substantiated in the work. Features of ontology storage and management platforms and their metadata are analyzed. Possibilities of searching in ontology repositories and their reuse in IIS are considered. The mechanisms of ontology search based on semantic processing of their metadata, analysis of ontology structure using metrics of semantic similarity between their concepts related to the current user task are presented.

The purpose of the article is the development of algorithms and methods for evaluating semantic models, which consist in combining qualitative (ontological) representation of knowledge with quantitative (numerical) evaluation of ontologies and their parameters (semantic proximity, semantic distance, semantic affinity) aimed at finding similarities different ontologies

Methods. Methods of ontological analysis of objects of the subject area, theoretical and multiple approaches to determine the degree of closeness of two objects by comparing their properties (feature matching) and traditional methods of statistical analysis are used to solve the tasks set in the work.

Results. The proposed method of estimating semantic similarity allows on the basis of semantic analysis of natural annotations of metadata both ontologies and data (including Big Data) to perform the task of their interpretation and selection to the problem to be solved by the applied IIS or application. The obtained results allow to create original IIS for artificial intelligence in economics, medicine, national security, defense and social sphere.

Conclusion. We proposed an original approach to the evaluation and analysis of metadata (ontologies, data), based on semantic analysis of metadata and determining the semantic similarity of structural data models (ontologies, data) and the formation of a ranked set of related ontologies to solve problems of artificial intelligence. The application of methods for defining semantically similar concepts is presented as a tool for semantic comparison of the structure of ontologies, which were found in the repository under formal conditions, with a poorly structured PM-description. At present, there is no generally accepted standard for presenting metadata, so the proposed methods of analysis of PM annotations are the most adequate means of comparing the semantics of ontologies, data with the problems for which they can be used.

Keywords: semantic similarity, formal ontology model, metadata, metadata standards, intelligent information system, ontology repository.

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Received 11.01.2021