Issue 2 (196), article 5


Cybernetics and Computer Engineering, 2019, 2 (196), pp. 80-100

Shvets A.V., DSc (Medicine), Assistant Professor,
Head of Research Department of Special Medicine and Psychophysiology

Research Institute of Military Medicine of Ukrainian Military Medical Academy,
24, Melnikova str., Kyiv, 04655, Ukraine


Introduction. Many domestic and foreign experts work under the problem of mental health at combat environment in various aspects, however, a lot of unsolved questions regarding to psychomedical consequences of hybrid war in Ukraine still exists.

The purpose of the article is to assess and to analyze of influence of various harmful factors in combat environment on the psychological status and mental health of military personnel and ex-combatants for development of psychomedical intervention model.

Materials and methods. The materials of research were based on the study of more than 200 servicemen in different conditions and health state using own and adopted questionnaires with further descriptive and multivariate exploratory technics of data analysis. Bibliosemantic, information-analytical, comparative analysis of domestic publication from the last 4 years have been done for summarizing the national experience regarding to psychological aftereffects of armed conflict in Ukraine.

Results. A retrospective summarizing of available information on the medical and psychological consequences of hybrid war relating to the characteristics of their aftereffects in recent years among military and demobilized persons has been performed. An assessment of stress factors impact at combat environment (physical, informational, organizational and anticipation) on military personnel participated in military conflict has been done. The specific features and structure of mental disorders in the military personnel, which were treated in hospital conditions have been revealed. The decision support model for reliable (p<0.001) prediction further adjustment disorders after extreme conditions has been developed.

Conclusions. The greatest influence on the stress formation of combatants had “anticipation” factors as well as not much less pronounced “physical”, “informational” and “organizational” environmental factors. Research permits to conclude that some of them significantly influence on the psycho-emotional state of military personnel and can be grouped into two main factors: the 1st – factor of negative future prediction and the 2nd – factor of negative impact of physical environment. The phenomenon of exaggerating of negative feelings among servicemen after the 4th-month impact of the stress factors has been discovered. The decision support model to predict further adjustment disorders (F43.2) after extreme conditions has been created for developing the Psychomedical Intervention Model in Ukrainian Armed Forces.

Keywords: psychomedical intervention model, decision support model, mental health, adjustment disorders, posttraumatic stress disorder, stress factors.

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Received 04.03.2019

Issue 2 (196), article 4


Cybernetics and Computer Engineering, 2019, 2 (196), pp. 59-79

Shlykov V.V.1, PhD (Engineering), Associate professor,
Department of Biomedical Engineering

Maksymenko V.B.2, DSc (Medicine), Professor,
Deputy Director for research

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

2Amosov National Institute of Cardiovascular Surgery
6, Amosova str., Kyiv, Ukraine, 03038


Introduction. The character of the distribution of temperature in the heart is determined by the process of heat exchange between the myocardium and coronary vessels, as well as the state of microhemodynamics of the coronary vessels of the heart. For quantitative estimation of changes in temperature distribution on the surface of the heart, the algorithm for calculating a quantitative criterion, that may be an objective marker for effective protection of the heart and brain, is proposed. The method of determining the conductibity of coronary vessels is implemented on the basis of the algorithm for determining the thermal contours, calculated from the gradients of the temperature field on the image of the heart in the infrared spectrum. The improvement of the previously developed method for determining the thermal contours on the basis of Canny’s algorithm consists in the transition from qualitative to quantitative assessment of the rate of change in temperature on the surface of the myocardium.

The purpose of this study is to evaluate the conductibity of coronary vessels for the study of blood flow in the surface layer of the myocardium during warming up and cooling of the heart in conditions of cardiopulmonary bypass.

Results. The numerical value of the quantitative criterion obtained is calculated by determining the difference in temperature between the blood and the myocardium, calculated as the difference between the geometric areas under the temperature distribution curves in the temperature field equation for the constant and the current fluxing temperature. The contouring method for determining the conductibity of coronary vessels allows to select areas on the surface of the myocardium, in which the change in temperature significantly lags behind the average temperature on the surface during warming or cooling of the heart, which indirectly allows evaluating the state of small coronary vessels in the myocardium.

Conclusions. The method for determining the conductivity of coronary vessels for the study of blood flow in the surface layer of the myocardium are proposed, which allowed to allocation contours of sites on the surface of the myocardium with uneven distribution of temperature during warming up and cooling of the heart. Scientific novelty of the method consists in the allocation of thermal contours of sites in which the temperature change significantly lags behind the average temperature on the surface during warming up or cooling of the heart.

Keywords: mathematical modelling, the algorithm of detector Canny, heart temperature, temperature profiles, hypothermia, hyperthermia, cardiopulmonary bypass.

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1 Nicholas A., Diakides B., Joseph D., Bronzino A. Medical Infrared imaging. London: RC Press Taylor Group LLC, 2008. 451 p.

2 Kotovskyi V., Shlykov V et al. The IR-thermal imaging method for evaluation of the status of myocardial coronary vessels under the condition of artificial blood circulation. Technology and Health Care, 2018, vol. Pre-press, No. Pre-press. P. 1-6.

3 Maksymenko V., Danilova V., Shlykov V. The discrete model for the system of the myocardium and coronary vessels. In 3rd Conference “Approximation Methods for Molecular Modelling and Diagnosis Tools”, Kyiv, “Igor Sikorsky Kyiv Polytechnic Institute”, January 26-30, 2017. P. 3. (in Ukrainian)

4 Shlykov V., Danilova V., Maksymenko V. Heat transfer model based on thermographic imaging of the heart in open chest conditions. In 17th European Congress on Extracorporeal Circulation Technology, June, 14-17th, Marseille, France, 2017. P. 57.

5 Maksymenko V.B., Danilova V.A., Shlykov V.V. The Discrete Model for the System of the Myocardium and Coronary Vessels. Scientific news of NTUU “KPI”, 2007, No 1. P. 54-60. (in Ukrainian)

6 Shlykov V, Danilova V., Maksymenko V. The Model of the Myocardium in the MSC Sinda System. Cardiology and Cardiovascular Research, 2017, Vol. 1, Iss. 2, P. 18-22.

7 Shlykov V., Danilova V., Maksymenko V. Numerical model for heat transfer based on thermographic imaging of the heart. Standartizatsiya, sertificatsiya, yakist, 2017, No. No4(107). P. 62-68. (in Ukrainian)

8 Shlykov V., Danilova V., Maksymenko V., Sychyk M. Application of Model of Heat Exchange for Myocardium Provided Stationary Convection Laminar Flow. Journal of Cardiology & Current Research. 2017. P. 311-313.

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16 Khudetskyy I.U., Danilova V.A., Shlykov V.V. Use of Thermal Imaging for Control of the Process Hypothermia Cardiac. The Polish Journal of Applied Sciences, Lomza State University of Applied Sciences, 2015. P. 93-96

17 Kotovskiy V.I., Shlykov V.V., Danilova V.A. The Method of Processing Thermographic Images for the Open Heart. Young Scientist USA, 2017, Vol. 7. P. 1.3-3.3

18 Shlykov V. The propagation of the temperature waves in myocardium. EUREKA: Physics and Engineering, 2018, No2. P. 52-62.

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26 Gilchuk A.V., Khalatov A.A. Theory of Thermal Conductivity: Textbook. Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, 2017. 93 P. (in Ukrainian)

Received 29.03.2019

Issue 2 (196), article 3


Cybernetics and Computer Engineering, 2019, 2 (196), pp. 43-58

Yefymenko M.V.1, PhD (Engineering), Associate Professor,
Chief Designer

Kudermetov R.K.2, PhD (Engineering), Associate Professor,
Head of Computer Systems and Networks Department

166, Soborniy av., Zaporizhzhia, 69035, Ukraine

2Zaporizhzhia National Technical University,
64, Zhukovsky str., Zaporizhzhia, 69063, Ukraine


Introduction. To ensure the high dynamic characteristics of Earth remote sensing satellites in their orientation systems, the gyro moment clusters (GMCs) based on excessive number (more than three) two-gimbals control moment gyrodines (GDs) can be used as actuators. The attitude control by GD actuators task is the most difficult among the tasks of spacecraft (SC) reorientation control. The central issue in solving this task is the synthesis the control laws for precession angles of individual GDs when there are excessive. Success in solving the control problem is substantially determined by the choice of the GMC structure, it means the number of GDs used and their mutual positions of the precession axes. From this choice depends on the possibility of forming by GMC the necessary control momentum, the existence and number of special GMC states, the complexity of the control laws for the precession angles of the individual GDs included in the GMC. This is because in order to maintain the desired SC orientation for a long time and to perform its turns with the required angular rate, the GMC must have a sufficient margin of angular momentum. The allowable values of the total angular momentum created by the GDs form a certain area that is bounded by a closed surface of complex shape in a coordinate system rigidly attached to main SC body. Inside this area there are particular surfaces on which the control of the GDs is complicated or unfeasible. These surfaces are called singular. In this regard, for SC attitude control in addition to control the precession rate of individual GDs it is also necessary to control the mutual orientation of the angular momenta of the GDs in GMC. In this one of the most important problems of the control laws synthesis with the use of GMC is the identifying singular surfaces (topological analysis) in the area allowable angular momentum of the GMC.

The purpose of the article is to develop a technique for detecting singular states in GMC based on three collinear pairs.

Results. The analysis was carried out and the singular states of the GMC with three collinear pairs were revealed.

Conclusion. An original technique of a topological analysis of GMC based on collinear GD’s pairs is proposed. This technique may be useful to developers of SC attitude control systems.

Keywords: spacecraft, gyrodine, singular vector, singular surface.

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7 Somov E.I, Butyrin S.A. Explicit logical-dynamic law of control the minimum redundant system of gyrodynes for a maneuvering spacecraft. In Traffic control and aircraft navigation. Samara: SSAU, 2002. P. 179-184 (in Russian).

8 Avanzini A. Potential approach for constrained autonomous maneuvers of a spacecraft equipped with a cluster of control moment gyroscopes. Journal of Aerospace Engineering. 2009. Vol. 223, Iss. 3. P. 285-296.

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15 Somov E.I. Topological analysis of singular states and the synthesis of explicit laws for tuning power gyroscopic complexes of multiple schemes. Proceedings of the Samara Scientific Center of the Russian Academy of Sciences. 2009. Vol. 11, No 3. – P. 132-140 (in Russian).

16 Somov E.I., Butyrin S.A., Sorokin A.V., Platonov V.N. Control of spacecraft power gyrocomplexes,. Proceedings of the X St. Petersburg International Conference on Integrated Navigation Systems, May 26-28, 2003. SPb., 2003. P. 278-294.

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Received 15.02.2019

Issue 2 (196), article 2


Cybernetics and Computer Engineering, 2019, 2 (196), pp. 27-42

A.Ya. Gladun1, PhD (Engineering),
Senior Researcher of the Department of Complex Research of Information Technologies and Systems

Yu.V. Rogushina2, PhD (Phys&Math)
Senior Researcher of the Department of Automated Information Systems

A.A. Andrushevich3, Researcher
of the Faculty of Apply Mathematics and Сomputer Science

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. Glushkov av., 03187, Kiev, Ukraine

2Institute of Program Systems
of the National Academy of Sciences of Ukraine,
40, Acad. Glushkov av., 03187, Kiev, Ukraine

3Belarusian State University,
4, Nezavisimosti av., 220030, Minsk, Belarus


Introduction. The development of the Internet of Things (IoT), equipped with various electronic sensors and controllers that distantly operate with these things is an important step of a new technical revolution. In this article, we look at the features of Big Data generated by the Internet of Things (IoT) technology, and also present the methodology for processing this Big Data with use of semantic modeling (ontologies) at all stages of the Big Data life cycle. Semantic modeling allows to eliminate such contradictions in these technologies as the heterogeneity of devices and things that causes the heterogeneity of the data types produced by them. Machine learning is used as an instrument for Big Data of analyzes: it provides logical inference of the rules that can be applied to processing of information generated by Smart Home system.

The purpose of the article is to use deep machine learning, based on convolutional neural networks because this model of machine learning corresponds to processing of unstructured and complex nature of the IoT domain.

Results. Proposed approach increases the efficiency of IoT Big Data processing and differs from traditional processing systems by using NoSQL database, distributed architectures and semantic modeling.

Conclusion. The conceptual architecture of the Big Data processing system for IoT and describe it on on the example of the NoSQL database for Smart Home were given. This architecture consists of five independent levels. At each of these levels, a combined approach of semantic modeling and data mining methods can be used. Currently, this platform can be combined with a lot of open source components.

Keywords: Big Data, Internet of Things, ontology, Semantic Web.

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1 Gladun A., Andrushevich A., Kurbatski A. Ontological representation of information objects, models and services in the Web of Things. Problems of Informatization and Management, 2015 No. 4 (issue 48). pp. 28-41 (in Russian).

2 Rogushina J., Gladun A. Semantic approach to the integration of Web of Things objects. Proceedings of the V Int. Scientific and Technical Conf. Open Semantic Technologies for Intelligent Systems” – OSTIS 2015, Minsk, Belarus, pp. 70-75 (in Russian).

3 Borges Neto J., Silva T., Assuncao R., Mini R., and Loureiro A. Sensing in the collaborative internet of things. Sensors, vol. 15, no. 3, pp. 6607-6632, 2015.

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7 Nambi S. N. A. U., Sarkar C., Prasad R. V., Rahim A. A unified semantic knowledge base for IoT. 2014 IEEE World Forum on Internet of Things (WFIoT), IEEE, 2014, pp. 575-580.

8 Hachem S., Teixeira T., Issamy V. Ontologies for the Internet of Things. Proceedings of the 8th Middleware Doctoral Symposium on MDS’ll, ACM Press, 2011, pp. 1-6.

9 Wang W., De S., Cassar G., Moessner K. Knowledge representation in the internet of things: semantic modelling and its applications. Automatika Journal for Control, Measurement, Electronics, Computing and Communications, vol. 54, no. 4, 2013.

10 Barbero C., Zovo P. D., Gobbi B. A flexible context aware reasoning approach for IoT applications. In IEEE 12th International Conference on Mobile Data Management, 2011, pp. 266-275.

11 Erl T., Khattak W., Buhler P. Big Data Fundamentals. Prentice Hall: Upper Saddle River, NJ, USA. – 302.

12 Qin Y., Sheng Q. Z., Falkner N. J. G., Dustdar S., Wang H., Vasilakos A. V. When it’s a matter of data-centric Internet of Things. Journal of Network and Computer Applications, vol. 64, no. 4, pp. 137-153, 2016.

13 Chen M., Mao S. W., Liu Y. H. Big data: a survey. Mobile Networks Applications, vol. 19, no. 2, pp. 171-209, 2014.

14 Jiang L., Xu L. D., Cai H., Jiang Z., Bu F., Xu. An IoT-oriented data storage framework in cloud computing platform. IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1443-1451, 2014.

15 Li T., Liu Y., Tian Y., Shen S., Mao W. A storage solution for massive IoT data based on noSQL. IEEE International Conference on Green Computing and Communications, 2012, pp. 50-57.

16 Cecchinel C., Jimenez M., Mosser S., Riveill M. An architecture to support the collection of Big Data in the Internet of Things. In IEEE World Congress on Services, 2014, pp. 442-449.

17 Khan M., Young-Koo Lee Y.-K., Lee S. Y., Tae-Seong Kim T.-S. A triaxial accelerometer-based physical-activity recognition via augmented- signal features and a hierarchical recognizer. IEEE Transactions on Information Technology in Biomedicine, vol. 14, no.5, pp. 1166-1172, 2010.

18 Altun K., Barshan B. Human activity recognition using iner-tial/magnetic sensor units. Lecture Notes in Computer Science, vol. 6219 LNCS, Springer Berlin Heidelberg, 2010, pp. 38-51.

19 Jonghwa Choi J., Dongkyoo Shin D., and Dongil Shin D. Research and implementation of the contextaware middleware for controlling home appliances. IEEE Transactions on Consumer Electronics, vol. 51, no. 1, pp. 301-306, 2005.

20 Lane N.D., Bhattacharya S., Georgiev P., Forlivesi C., Kawsar F., In smartphones and Internet-based devices. Int. Workshop on Internet of Things towards Applications, ACM, 2015, pp. 7-12.

Received 10.01.2019

Issue 2 (196), article 1


Cybernetics and Computer Engineering, 2019, 2 (196), pp. 3-26

Fainzilberg L.S., DSc. (Engineering), Professor,
Chief Researcher of the Department of Intelligent Automatic Systems
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,
Acad. Glushkov av., 40, Kiev, 03187, Ukraine

Dykach Ju.R.2, Student, Faculty of Biomedical Engineering,
The National Technical University of Ukraine
«Igor Sikorsky Kyiv Polytechnic Institute»,
37, Peremohy av., Kyiv, 03056, Ukraine


Introduction. The linguistic approach, based on the transition from electrocardiogram (ECG) to codogram, gained fame for the analysis of heart rhythm. To expand the functionality of the method, it is advisable to study the possibility of simultaneously monitoring the dynamics of changes in the duration of cardiac cycles and the indicator of symmetry T-wave that carries information about ischemic changes in the myocardium.

The purpose of the article is to develop algorithmic and software components to solve this problem and conduct experimental studies on model and real data.

Methods. ECG of certain groups was automatically encoded, Levenshtein distance was calculated between ECG pairs for group and the reference codogram of the group was constructed. The evaluation of the results of experimental studies was carried out on the basis of traditional methods of statistical analysis.

Results. It is shown that based on the Levenshtein distance between all pairs of codograms of the test group, the reference codogram of the group of patients with coronary heart disease (CHD) and the group of healthy volunteers can be determined. It was established that making decisions based on the comparison of the ECG codogram of the person with the reference codogram allows for the separation of representatives of the indicated groups with sensitivity SE = 72% and specificity CP = 79% even in those cases when the traditional analysis of the ECG in 12 leads is not informative.

Conclusions. The proposed approach allows to obtain additional diagnostic information when solving actual problems of practical medicine.

Keywords: linguistic approach, diagnostic sign of ECG, Levenshtein distance.

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Received 01.04.2019