Category: Issue 2 (196)

Issue 2 (196), article 5

DOI:https://doi.org/10.15407/kvt196.02.080

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
e-mail: shvetsandro@gmail.com

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

PSYCHOMEDICAL INTERVENTION MODEL FOR SERVICEMEN BASED ON A STUDY OF MENTAL DISORDERS

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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6 Richardson L.K, Frueh C., Acierno R. Prevalence Estimates of Combat-Related PTSD: A Critical Review. Australian & New Zealand Journal of Psychiatry. 2010; 44 (1). P. 4-19. https://doi.org/10.3109/00048670903393597

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9 Shvets A.V. Improving the psychophysiological assessment methodology of combat conditions influence on the servicemen functional state. Military medicine of Ukraine. 2015; 2. P. 84-92. (in Ukrainian).

10 Inpatient treatment of the ATO participants. Kyiv: Ministry of Health of Ukraine; Ukrainian research Institute of social and forensic psychiatry and drug abuse, 2016. 28 P. (in Ukrainian).

11 Zavalkoy U.M., Kutko I.I., Andreyko M.F., Yurchkova N.O. Structure of mental disorders in ATO participants (pilot study on clinical material of inpatient patients). Ukraine. Nation’s health. 2016; 4/1 (41). P. 54-57. (in Ukrainian)

12 Stepanova N.M.., Ladyk-Bryzgalova A.K., Boltonosov S.V., Sulimovska A.C. Sociodemographic and pathopsychological characteristics of post-traumatic mental disorders in combatants. Archives of psychiatry. 2015; 2 (81). P. 50-53. (in Ukrainian)

13 Pinchuk I.Ya., Pishel V.Ya., Polyviana M.Yu., Guzenko K.V., Ladyk-Bryzgalova A.K. Auto- and geteroagressive behavior in the structure of post-traumatic mental disorders at participants in the ATO. Archives of psychiatry, 2016;.3 (86). P. 5-11. (in Ukrainian).

14 Shevchuk R.V., Hanol M.V., Shimko V.A., Kiris O.P. Analysis of the work of military medical commissions in the special period. In Medical support of the antiterrorist operation: scientific-organizational and medical-social aspects: a collection of scientific works. Ed. by Academicians Tsymbaliuk V.I. and Serdyuk A.M. Kyiv: State Institution of Informational Research Center “Priorities”. 2016. P. 156-167. (in Ukrainian).

15 Druz O.V., Siropyatov O.G., Badyuk M.I. et al. Improvement of treatment and rehabilitation of servicemen of Ukrainian Armed Forces with combat psychotrauma: Methodic recommendations. Kyiv: “Lesya”, 2015. P. 52. (in Ukrainian).

16 Druz O.V., Chernenko I.O. Analysis of combat psychotrauma of participants in local combat operations. In Medical support of the antiterrorist operation: scientific-organizational and medical-social aspects: a collection of scientific works. Ed. by Academicians Tsymbaliuk V.I. and Serdyuk A.M. Kyiv: State Institution of Informational Research Center “Priorities”. 2016. P.168-179. (in Ukrainian).

17 Mykhaylov B.V., Serdyuk O.I., Galachenko O.O., Galachenko V.V., Vashkite I.D. The course of post-traumatic stress disorder among the demobilized members of the antiterrorist operation, located on rehabilitation in sanatorium conditions. Ukrainskyi visnyk psykhonevrolohii. 2016; 2 (87). P. 69-73. (in Ukrainian)

18 Pishel V.Ya., Polyviana M.Yu., Guzenko K.V. Clinical polymorphism of post-traumatic stress disorders at participants in the ATO. Archives of psychiatry. 2017; 1 (88). P. 75-76. (in Ukrainian).

19 Zavorotnyi V.I. Post-traumatic stress disorders in participants of the anti-terrorist operation (combat psychogenias, clinical-psychopathological characteristics). Ukraiskyi visnyk psykhonevrolohii. 2017; 1 (90). P. 48-50. (in Ukrainian).

20 Kalnish V.V., Pishnov G.Yu., Varivonchik D.V. Actual problems of psychophysiological state of combatants. Ukraine. Nation’s health. 2016; 41 (4/1). P. 37-43. (in Ukrainian).

21 Gifford R. Environmental Psychology: Principles and Practice. University of Victoria. Fifth edition. Colville, WA: Optimal Books, 2014. 560 P.

22 Ivanov D.A., Rychka O.V. Psychoprophylactic measures before servicemen deployment to combat zone. Mental Health. 2015; 3 (48) – 4(49). P. 87-98. (in Ukrainian)

23 Kazmirchuk A.P., Shvets A.V., Rychka O.V., Chaikovsky A.R. Suicides in Ukrainian Armed Forces: Analysis and Directions of Prevention. UMMA Scientific Papers “Problems of Military Health”, 2017, Iss. 47. P. 310-319. (in Ukrainian)

24 Pinchuk I.Ya., Petrichenko O.O., Kolodezhsky O.V., Zdorik I.F., Drevitska O.O. Morbidity and prevalence of mental and behavioral disorders as a result of the use of psychoactive substances among participants of the antiterrorist operation in Ukraine for the first half of 2016. Archives of psychiatry. 2016; 4 (87). P. 11-14. (in Ukrainian).

25 Pinchuk I.Ya., Yachniki U.V., Ladyk-Bryzgalova A.K., Bulakhova L.O. Psychological recovery and social integration of veterans in Ukraine Archives of psychiatry. 2017, 1 (88). P. 6-10. (in Ukrainian).

26 Stadnik I.V. Peculiarities of psychological trauma experience of combat operations participants in the antiterrorist operation. In Psychology today: the view as a modern student: materials of the tenth international student scientific conf. Ed. by I.V. Shtotkova. Brest: Psychology, Pushkin Brest State University, 2015. P. 151-153. (in Russian).

Received 04.03.2019

Issue 2 (196), article 4

DOI:https://doi.org/10.15407/kvt196.02.059

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

Shlykov V.V.¹, PhD (Engineering), Associate professor,
Department of Biomedical Engineering
e-mail: v.shlykov@kpi.ua

Maksymenko V.B.², DSc (Medicine), Professor,
Deputy Director for research
e-mail: maksymenko.vitaliy@gmail.com

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

THE METHOD OF DETERMINING CONDUCTIBILITY FOR CORONARY VESSELS BY TERMOGRAPHY

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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Received 29.03.2019

Issue 2 (196), article 3

DOI:https://doi.org/10.15407/kvt196.02.043

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

Yefymenko M.V.¹, PhD (Engineering), Associate Professor,
Chief Designer
e-mail: nefimenko@gmail.com

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

¹“HARTRON-UCOM LTD”,
166, Soborniy av., Zaporizhzhia, 69035, Ukraine

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

TOPOLOGICAL ANALYSIS OF ANGULAR MOMENTUM RANGE VALUES OF THE GYRO MOMENT CLUSTERS BASED ON COLLINEAR GYRODINES PAIRS

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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Received 15.02.2019

Issue 2 (196), article 2

DOI:https://doi.org/10.15407/kvt196.02.027

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
email: glanat@yahoo.com

Yu.V. Rogushina², PhD (Phys&Math)
Senior Researcher of the Department of Automated Information Systems
ladanandraka2010@gmail.com

A.A. Andrushevich³, Researcher
of the Faculty of Apply Mathematics and Сomputer Science
email: andrushevich@bsu.by

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

USING SEMANTIC MODELING TO IMPROVE THE PROCESSING EFFICIENCY OF BIG DATA IN THE INTERNET OF THINGS DOMAIN

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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REFERENCES

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). https://doi.org/10.18372/2073-4751.4.7843

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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. https://doi.org/10.1109/WF-IoT.2014.6803232

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. https://doi.org/10.1145/2093190.2093193

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. https://doi.org/10.7305/automatika.54-4.414

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. https://doi.org/10.1109/MDM.2011.55

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. https://doi.org/10.1007/s11036-013-0489-0

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Received 10.01.2019

Issue 2 (196), article 1

DOI:https://doi.org/10.15407/kvt196.02.003

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
e-mail: fainzilberg@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,
Acad. Glushkov av., 40, Kiev, 03187, Ukraine

Dykach Ju.R.2, Student, Faculty of Biomedical Engineering,
e-mail: jul.dykach@gmail.com
The National Technical University of Ukraine
«Igor Sikorsky Kyiv Polytechnic Institute»,
37, Peremohy av., Kyiv, 03056, Ukraine

LINGUISTIC APPROACH FOR ESTIMATION OF ELECTROCARDIOGRAMS’S SUBTLE CHANGES BASED ON THE LEVENSTEIN DISTANCE

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 S_E = 72% and specificity C_P = 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