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  7. 2022 год
  8. 44-4

Electronic modeling

Vol 44, No 4 (2022)

CONTENTS

Computatinal Processes and Systems

 
LYSENKO O.I. , CHUMACHENKO S.M., YAKOVLIEV Y.O., PYRYKOV O.V., DERMAN V.A.
Mathematical Model for Indication of the Ecological Condition of the Natural Environment of the Territory of Combat with the Application of the Ecosystem Approach
 
3-20
 
VYNNYCHUK S.D., KOLOMIIETS Y.A., KOZIUK O.I.
Model and Algorithm for Calculating Flow Distribution in the Central Tank of the Supply and Drainage System in the Absence of Drainage and Bypass
21-27
 
VATAMAN V., PETIK T., BEGLOV K.
Mathematical Model and Method for Automated Power Control of a Nuclear Power Plant
28-40

Informational technologics

 
SERGIYENKO A., ROMANKEVICH V., SERHIIENKO P.
Local Feature Extraction in High Dynamic Range Images
41-54
 
KHRYSTYNETS N.A.
Practical Study of Cyber Protection Software in the Manjaro Operating System

55-63

Application of Modeling Methods and Facilities

 
PODGURENKO V.S., KUTSAN Yu.G., GETMANETS O.M.,TEREKHOV V.E.
Evaluation of the Effectiveness of the Investment Policy in the Wind Energy Sector of Ukraine in the Context of Global Trends
64-78
 
ABAKUMOV A.I., KHARCHENKO V.S.
Penetration Testing for Internet of Things Systems: Cyber Threats, Methods and Stages
79-104
 
NESTERENKO O.V., NETESIN I.E.
Expert Formation of E-glossary
105-120
 
EVDOKIMOV V.A., POLYKHIN A.V.
Income Optimization of Market Participants in the Day Ahead Market by Modeling of Processes of Price Determination For Day Ahead Market
121-127

MATHEMATICAL MODEL FOR INDICATION OF THE ECOLOGICAL CONDITION OF THE NATURAL ENVIRONMENT OF THE TERRITORY OF COMBAT WITH THE APPLICATION OF THE ECOSYSTEM APPROACH

O.I. Lysenko, S.M. Chumachenko, Y.O. Yakovliev, O.V. Pyrykov, V.A. Derman

Èlektron. model. 2022, 44(4):03-20

https://doi.org/10.15407/emodel.44.04.004

ABSTRACT

Today, the issue of assessing the impact of hostilities on the environment is relevant in terms of forecasting changes caused by military-man-made load from hostilities and assessing damage to ecosystems in Ukraine. To predict the level of impact of hostilities, it is proposed to use a comp­rehensive mathematical model, which is built using aggregate ecological information on the composition of the ecosystem, indicators of military man-made load, organization of trophic networks for relevant biogeographical zones and biodiversity. The article analyzes publications on approaches to the use of mathematical modeling to assess the resilience of ecosystems to the disruptive effects of military-man-made load from hostilities. The concept of environmental security of hostilities is a projection into the military technosphere of the concept of ecosystem stability, given that the objective function in studying the interaction of military technosphere and biosphere is the level of conservation of natural biota operational zones and areas of DB. The structural scheme of construction of the observer of the Volterra system for an estimation of a condition of ecosystems in a zone of conducting hostilities is developed. The classification of levels of military-technogenic violation of natural ecosystems according to the state of edificatory sinus is offered.

KEYWORDS

combat operations, military-man-made load, environment, ecosystem stability, Volterra system, edificatory sine

REFERENCES

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  2. Chumachenko, S.M., Morshch, E.V., Mikhailova, A.V. and Partalyan, A.S. (2020), “Methods of comprehensive operational expert assessment of military-man-made threats in the area of the joint force operation”, Naukovyy visnyk: Tsyvilnyy zakhyst ta pozhezhna bezpeka, Vol. 1, no. 9, pp. 23-33.
    https://doi.org/10.33269/nvcz.2020.1.23-33
  3. Lysenko, O.I., Chumachenko, S.M. and Sitnik, Y.I. (2006), Napryamky vdoskonalennya pryrodookhoronnoyi diyalnosti v Zbroynykh Sylakh Ukrayiny [Directions for improving environmental protection in the Armed Forces of Ukraine: Scientific and methodological manual], NNDTS OT i VB Ukrayiny, Kyiv, Ukraine.
  4. Dudkin, O.V., Yena, A.V., Chumachenko, S.M. etc. (2003), Otsinka i napryamky zmenshennya zahroz bioriznomanittyu Ukrayiny [Assessment and directions of reduction of threats to biodiversity of Ukraine], Himgest, Kyiv, Ukraine.
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  13. Chumachenko, S.M. and Danilyuk, S.L. (2016), “Features of the application of environmental assessment methods to assess the impact of hostilities on the components of military natural and man-made geosystems”, Zbirnyk naukovykh prats TSNDI ZS Ukrayiny, Vol. 2, no. 72, pp. 123–132.
  14. Lysenko, O.I., Chekanova, I.V., Chumachenko, S.M. and Tureychuk, A.M. (2004), “Methodology for defining the concept of military ecology”, Abstracts of the 65th scientific-practical conference, in four parts, Part 2 (V-VI sections), Kyiv, Ukraine, April 20-22, 2004, pp. 91.
  15. Lysenko O.I., Chekanova I.V., Chumachenko S.M. and Tureychuk A.M. (2004), “On the development of the concept of military ecology”, Nauka i oborona, Vol. 3, pp. 27-33.
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MODEL AND ALGORITHM FOR CALCULATING FLOW DISTRIBUTION IN THE CENTRAL TANK OF THE SUPPLY AND DRAINAGE SYSTEM IN THE ABSENCE OF DRAINAGE AND BYPASS

S.D. Vynnychuk, Y.A. Kolomiiets, O.I. Koziuk

Èlektron. model. 2022, 44(4):21-27

https://doi.org/10.15407/emodel.44.04.021

ABSTRACT

A mathematical model of flow distribution for the supercharging and drainage system of the aircraft fuel system is proposed for the case of the presence of air only in the central tank of the supercharging and drainage system in the absence of drainage and bypass. The model offers an algorithm for calculating flow distribution in the presence of an implicitly specified boundary condition.

KEYWORDS

aircraft fuel system, supercharging and drainage system, hydraulic network, flow distribution model.

REFERENCES

  1. Vynnychuk, S.D. (2022), “Mathematical model of hydraulic processes in the superchar­ging and drainage system”, Elektronne modelyuvannya, Vol. 44, no. 2, pp. 3-14.
    https://doi.org/10.15407/emodel.44.02.003
  2. Abramovich, G.N. (1969), Prikladnaya gazovaya dinamika [Applied gas dynamics], Nauka, Moscow, USSR.
  3. Vynnychuk, S.D. (2016), “Definition of flow distribution in networks with a tree graph”, Elektronne modelyuvannya, Vol. 38, no. 4, pp. 65-80.
    https://doi.org/10.15407/emodel.38.04

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Mathematical model and method for automated power control of a nuclear power plant

V. Vataman, postgraduate student,
T. Petik, postgraduate student, K. Beglov, Ph.D. (Tech.)
Odessа Polytechnic National University
Ukraine, 65044, Odessa, Shevchenko Avenue, 1
е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Èlektron. model. 2022, 44(4):28-40

https://doi.org/10.15407/emodel.44.04.028

ABSTRACT

The creation of methods for automated power control of power units is an urgent task, for which it is advisable to use the capacities of nuclear power plants. A mathematical model of a nuclear power plant (NPP) as a control object is proposed, which includes a multi-zone model of the active zone with distributed parameters, which makes it possible to take into account its internal properties (including transitional processes for xenon). This makes it possible to reduce the error in modeling the static and dynamic properties of nuclear power plants. A method for automated control of NPP power change using three control loops has been developed: one maintains a scheduled change in reactor power by controlling the concentration of boric acid in the coolant, the second maintains the required value of the axial offset by changing the position of the adjustment rods, and the third supports the temperature regime of heat transfer. Due to the adjustment of the position of the main valves of the turbogenerator, the developed method makes it possible to improve the stability of the energy release in the core with a change in its power under normal operating conditions of the reactor.

KEYWORDS

nuclear power plant, axial offset, pressurized water reactor.

REFERENCES

  1. Petik, T., Vataman, V. and Beglov, K. (2021), “Simulation of pressurized water reactor to find the best control solution”, Energy Engineering and Control Systems, Vol. 7, no. 2, pp. 126-
    https://doi.org/10.23939/jeecs2021.02.126
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    https://doi.org/10.15587/1729-4061.2014.23389
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Local Feature Extraction in High Dynamic Range Images

A. Sergiyenko, d-r of science, V. Romankevich, d-r of science,
P. Serhiienko, postgraduate student
Igor Sikorsky Kyiv Polytechnic Institute,
Ukraine, Kyiv, 03056
This email address is being protected from spambots. You need JavaScript enabled to view it.

Èlektron. model. 2022, 44(4):41-54

https://doi.org/10.15407/emodel.44.04.041

ABSTRACT

The methods of the local feature point extraction which are used in the pattern recognition are considered The Harris detector which is used in most effective feature point descriptors is complex and works worse in heavy luminance conditions. The modification of the high dynamic range (HDR) image compression algorithm is proposed. The modified algorithm is based on the Retinex method and consists of a set of the Harris-Laplace feature detectors which are much simpler than the Harris angle detector is. A prototype of the HDR video camera is designed which provides sharp images. Its structure simplifies the design of the artificial intelligence engine, which is implemented in the field programmable gate array.

KEYWORDS

field programable gate array, high dynamic range, feature extraction, pattern recognition, artificial intelligence.

REFERENCES

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