Systems For Various Purposes Research Articles

РЕШЕНИЕ ЗАДАЧИ ОПТИМАЛЬНОГО РАДИОЛОКАЦИОННОГО РАСПОЗНАВАНИЯ ПОДВИЖНЫХ ВОЗДУШНЫХ ОБЪЕКТОВ НА ОСНОВЕ ТЕОРИИ ПРОВЕРКИ СТАТИСТИЧЕСКИХ ГИПОТЕЗ

The materials of this article are devoted to the development of one of the main aspects of artificial intelligence systems - pattern recognition. The relevance of the materials is due to the rapid development of radar systems for various purposes and the transition in some directions from radar to radio vision. Currently, much attention is paid to the development of radar systems with synthesizing the antenna aperture, for remote sensing of the earth and recognition of stationary ground objects, however, according to the author, radar recognition of mobile aerial objects is an important issue. The purpose of this article is to propose a solution to the problem of recognizing moving aerial objects by their radar portraits, based on the theory of statistical hypothesis testing. At the moment there are many methods of pattern recognition, this article discusses an algorithm that implements the function of matching the current image and the reference from a pre-formed catalog. As the current image, an azimuth-range radar portrait is considered, which is formed by super-resolution in azimuth, by synthesizing the aperture of the antenna and in range, using ultra-wideband signal. The author suggests, with a statistical approach to solving the problem of radar recognition, not to be tied to finding the probability of an object belonging to each of the pre-formed classes using a selected feature with a known probability distribution density of values, but to consider this process from the position of the signal at the output of the optimal recognition system to a specific image. A new approach to the description of probabilistic events when making a recognition decision is proposed. As a statistical classifier, it is proposed to use the Neumann-Pearson theory of statistical solutions.

Over-the-Air Calibration of Phase Shifter Network for Hybrid MIMO Systems

Phase shifter networks (PSN) are now widely used in multi-input multi-output (MIMO) systems for various purposes, from hybrid beamforming to strong interference mitigation. These applications require the phases of the PSN elements to be precisely calibrated, but the phase deviations always exist in practice. This paper proposes a novel over-the-air (OTA) approach to estimate the deviations of the phase shifters at each gear. Having some signal sources transmit pilot signals from unknown directions, we make the phases of the PSN shift across different gears and take the samples of the PSN output. Then the maximum likelihood (ML) estimation of the PSN errors which constitutes a three-way tensor, can be solved effectively by an iterative algorithm. The simulation results verify the effectiveness of the proposed algorithm and show that the root mean square errors (RMSEs) of the phase estimates can closely approach the Cramer Rao Bounds (CRBs).

DETERMINATION OF ECOLOGICAL AND ENERGY CRITERIA FOR EVALUATING THE WORK OF PIG FEEDING COMPLEXES

The main directions of state policy in the field of environmental protection, rational use of natural resources, ensuring environmental safety in accordance with the Constitution of Ukraine. Today, the ecological and energy factor is one of the most important conditions for the life of agricultural systems for various purposes and society as a whole. The growth of environmental problems become obvious indicators of insufficient development of not only technical means to prevent environmental pollution, but also the need to study the relationship of environmental problems with energy and economic processes occurring in the electrotechnological complexes "livestock production - waste treatment and disposal - environment". The complexity of the practical tasks of comparing production and natural potentials requires not only new principles and a new management organization but also the creation of a unified system of environmental and energy norms and standards. And this, in turn, presupposes the formation of fundamentally new information processes that go beyond traditional economic information. At the present stage of development of the pig breeding industry, in connection with the contradictions between economic activities and the environment, the problem of ecological and energy optimization and finding criteria for evaluating production is quite acute. The assessment of nature intensity can be carried out for an individual enterprise or when designing objects. Obviously, with the same volume of production, those complexes with the cleanest technologies or more efficient methods of waste treatment have a lower natural intensity.

Анализ динамической структуры вековых резонансов в окололунном орбитальном пространстве

When developing new circumlunar satellite systems for various purposes, it is necessary to know the dynamic features of various regions of circumlunar space. It is noted that one of the main features of the dynamics of artificial Moon satellites (AMS) is the increase in the eccentricity of their orbits. It is known that such orbital evolution of objects can be caused by resonant perturbations. In this regard, the purpose of this paper is to study the influence of secular and half-secular resonances occurring on the AMS. The results are obtained by means of the processing of data from an extensive numerical experiment to study the orbital evolution of the uniformly distributed circumlunar objects moving in the range of large semi-axes from 1911.8 to 26070 km and with inclinations from 0 to 180°. The study of the influence of secular and half-secular resonances on the orbital evolution of the AMS is carried out using numerical and analytical techniques. Both techniques have advantages and disadvantages and are used in the study. Maps of secular and half-secular resonances are of great practical importance. They clearly demonstrate the areas of influence of secular resonances on the orbital evolution of circumlunar objects depending on the initial values of the semimajor axis and inclination of the orbits of objects. The analysis of each particular resonance consists in the revealing of a resonant characteristic type, which is determined by the nature of the change in a critical argument: libration - stable resonance, libration/circulation - unstable resonance, and circulation - no resonance. To estimate the whole range of the influence of resonances on the AMS dynamics, maps of their overlaps are built. The maps allow one to determine areas with significant influence of the resonances on the orbital evolution of circumlunar objects. The obtained results show that the reason for a large increase in the eccentricity in a vast area of circumlunar orbital space is the presence of the stable apsidal resonance of the Kozai-Lidov type.

Some features of information support of military operations

The Special Military Operation conducted in Ukraine showed not only the unsatisfactory state of the information support of the operation, but also revealed some new features that need to be taken into account. The article does not set the task of analyzing the reasons for the weak information support of the operation. However, attention is drawn to the fact that at the level of doctrinal documents, namely the Military Doctrines of Russia in 2010 and 2014, there is a negative trend in the objectivity of assessments of the features of modern military conflicts in terms of their information support. Among the manifested features of information support of operations, attention is drawn to a sharp reduction in the time of effectiveness of disinformation measures and the inadmissibility of substituting information operations planning with propaganda activities. The effectiveness of using the consolidation of the capabilities of space systems for various purposes in support of one of the conflicting parties and capable of having a significant impact on the success of military operations is noted. A number of recommendations aimed at bringing in line with the requirements of the time of planning and organization of information operations in Russia are formulated.

О МОДЕЛЯХ И МЕТОДАХ ВЕРОЯТНОСТНОГО АНАЛИЗА ЗАЩИТЫ ИНФОРМАЦИИ В СТАНДАРТИЗОВАННЫХ ПРОЦЕССАХ СИСТЕМНОЙ ИНЖЕНЕРИИ

Purpose: rational and description of the methodological apparatus of system engineering in terms of risk prediction, taking into account the requirements for information protection. Research methods include: methods of probability theory, risk-oriented models for predictive analysis of standardized processes of system engineering. Result: interrelated models and methods systematized for use in the planning and implementation of standardized processes of system engineering are described. Their use makes it possible to analyze the impact of information security in terms of predicted risks. Methods and models are implemented in a set of system engineering standards and analytically support the effective implementation of agreement, organizational project- enabling, technical management and technical processes according to GOST R 57193 (ISO/IEC/IEEE 15288) in relation to systems for various purposes (a total of 30 processes). The proposed models and methods of system analysis of information security in standardized processes of system engineering develop established approaches to risk prediction, ensuring and improving system security. The use of the proposed models and methods in the life cycle of systems helps to identify «bottlenecks», rational ways to reduce risks in the implemented standardized processes, taking into account the requirements for information protection, supports the making decisions in analytical problems of system engineering. Scientific novelty: the proposed methodological apparatus develops the existing approaches to risk prediction, ensuring and improving systems security. The ideas are implemented in the national standards GOST R 59329 – GOST R 59357. They allow enterprises to move to the pragmatic implementation of a risk-based approach using the analytical capabilities of solving inverse problems of effective security control, based on the specified level of acceptable risk.

PROCEDURE FOR USING NEURAL NETWORKS FOR SEGMENTATION OF RASTER IMAGES

Currently, means of semantic segmentation of images, based on the use of neural networks, are increasingly used in computer systems for various purposes. Despite significant successes in this field, one of the most important unsolved problems is the task of determining the type and parameters of convolutional neural networks, which are the basis of the encoder and decoder. As a result of the research, an appropriate procedure was developed that allows the neural network encoder and decoder to be adapted to the following conditions of the segmentation problem: image size, number of color channels, permissible minimum accuracy of segmentation, permissible maximum computational complexity of segmentation, the need to label segments, the need to select several segments, the need to select deformed, displaced and rotated objects, the maximum computational complexity of learning a neural network model is permissible; admissible training period of the neural network model. The implementation of the procedure of applying neural networks for image segmentation consists in the formation of the basic mathematical support, the construction of the main blocks and the general scheme of the procedure. The developed procedure was verified experimentally on examples of semantic segmentation of images containing objects such as a car. The obtained experimental results show that the application of the proposed procedure allows, avoiding complex long-term experiments, to build a neural network model that, with a sufficiently short training period, ensures the achievement of image segmentation accuracy of about 0.8, which corresponds to the best systems of a similar purpose. It is shown that the ways of further research in the direction of improving the methodological support of neural network segmentation of raster images should be correlated with the justified use of modern modules and mechanisms in the encoder and decoder, adapted to the significant conditions of the given task. For example, the use of the ResNet module allows you to increase the depth of the neural network due to the leveling of the gradient drop effect, and the Inception module provides a reduction in the number of weighting factors and the processing of objects of different sizes.

Review of machine learning and deep learning mechanism in cyber-physical system

Cyber-Physical Systems are one of the emerging technologies which involve the integration of cyber system physical and control systems. This Cyber-physical System automates the industrial process like manufacturing, monitoring and control. Since the system involves three different cyber, physical and control optimization domains, such systems are complex in nature and cannot be done with a traditional optimization mechanism. Machine learning and deep learning are efficient mechanisms to model the behavior of such complex systems for design and optimization. In this work, the application of machine learning mechanisms in the cyber-physical system for various purposes like security, re-organization, and scheduling. This systematic review will give more insight into the latest application and mechanism of machine learning and deep learning for the cyber-physical system.

APPLICATION OF CAD TECHNOLOGIES FOR RESEARCH OF HEAT EXCHANGE UNITS OF MICROCLIMATE SYSTEMS BASED ON ALTERNATIVE ENERGY SOURCES

. Saving fuel and energy resources is now becoming one of the most important areas of transition of Ukraine's economy to the path of intensive development and rational use of nature. An important direction in the development of modern energy is the development of clean energy based on alternative energy sources for energy supply. One of the ways to solve this problem is to use in microclimate systems for various purposes combined heat supply system, which includes several sources of heat (traditional or renewable), its purpose – to compensate for heat loss through external enclosing structures, supply and exhaust ventilation systems and hot water supply to consumers. Energy accumulation was used to coordinate the modes of heat generation and consumption. A study of the efficiency of battery capacity has been conducted for various connection schemes of heat generators and consumers. With the help of the automated design system the method of efficient operation of the heat accumulator is developed, at research of dynamics of heating of the heat carrier in a tank of the heat accumulator at various schemes of connection. As a result of researches of heat exchange installation by means of the specialized software complex it is received that at cross connection of the generator and the consumer of heat to the accumulator tank, average temperature of heat exchange accumulating material practically coincides with temperature of the return highway that testifies to more uniform temperature field in heat accumulator volume. At the same time, when charging and discharging the heat accumulator, there is a complete coincidence of temperature change graphs for both periods.

КОНТРОЛЬ ЦЕЛОСТНОСТИ ДАННЫХ НА ОСНОВЕ ПРАВИЛ ПОСТРОЕНИЯ КОДОВ С НЕРАВНОЙ ЗАЩИТОЙ СИМВОЛОВ

Information and analytical systems for various purposes are considered, the functioning of which is based on the processing of large multidimensional arrays of information in the conditions of destructive effects of an attacker and environmental disturbances. For such operating conditions, one of the most urgent tasks is the organization of secure data storage with a limited resource of the systems under consideration, ensuring the identity of the data from the operator who sent them for storage and from the decision-maker when requesting their use. A subsystem of data integrity control based on the use of redundant coding is proposed, in which the data to be protected is presented in the form of blocks, pre-grouped according to the criterion of “information value” to ensure the possibility of timeliness and correctness of a decision by the user of the system. The use of redundant coding in the developed subsystem is based on the rules for constructing codes with unequal character protection, which makes it possible to reduce the introduced redundancy of control information at given different levels of security of groups of data blocks processed in information and analytical systems.

Estimation of the Electric Field Zonal Component Value and Particle Transfer Velocity Due To Electromagnetic Drift in the Ionosphere during Magnetic Storm on September 25, 2016 over Kharkiv

Background. Dynamic processes in plasma play a significant role in the formation of the spatial structure of the ionosphere at altitudes above the main ionization maximum. During geomagnetic disturbances, the dynamic mode of the ionospheric plasma noticeably changes, and these changes in the variations in the physical process parameters directly affect the spatial-temporal distribution of the main parameters of the ionosphere. One of the mechanisms affecting the behavior of the dynamic process parameters in the ionosphere is the penetration of electric fields of magnetospheric origin into the mid-latitude ionosphere during magnetic storms. The effects of the electric field, which are practically absent in quiet conditions, during geomagnetic storms lead to an additional transfer of charged particles due to electromagnetic drift. Accounting for these effects in variations in the dynamic process parameters and, as a consequence, in variations in the parameters of the ionosphere, is necessary for a more adequate prediction of the behavior of geospace parameters during geomagnetic disturbances. Development of ionospheric models of the disturbed ionosphere for solving applied problems in the field of radio communication, radio navigation and uninterrupted operation of telecommunication systems for various purposes. The aim of this work is to estimate the magnitude of the zonal component of the electric field in the ionosphere over Kharkiv during a weak magnetic storm on September 25, 2016, as well as to calculate the neutral wind velocity taking into account plasma transport in crossed electric and magnetic fields. Materials and methods. To calculate the parameters of dynamic processes in the ionosphere, the experimental data of the Kharkiv incoherent scatter radar were used. Results. The value of the zonal component of the electric field Ey was calculated during a weak magnetic storm on September 25, 2016. The maximum value of Ey took place around 23:00 EEST on September 25, 2016 and was equal to 5.9 mV/m. Calculated values of particle transfer velocity due to electromagnetic drift vEB during the September 25, 2016 magnetic storm are obtained. Variations in vEB correlate with variations in Ey, and the maximum velocity was –52 m/s. The calculation results showed that during weak magnetic storms (Kp = 4) it is necessary to take into account the plasma transfer due to electromagnetic drift. The contribution of the velocity vEB to the total velocity of charged particle transfer is significant. The neutral (thermospheric) wind velocity vnx is calculated without and taking into account the particle transfer velocity in crossed electric and magnetic fields. Conclusions. As shown by the results of the comparative analysis, taking into account the influence of the electric field made it possible to refine the values of the velocities vnx during a magnetic storm, which, in turn, makes it possible to explain the behavior of the main parameters of the F2 layer of the ionosphere under disturbed conditions.

PRECEDENT-ANALYTICAL MODEL OF EXERCISE SYSTEM FOR ENERGY MANAGERS

The topical issue of development of theoretical bases of creation and application of computerized systems for training of energy managers of industrial enterprises is considered. The object of the study is the practical activities of the company's staff, aimed at improving the energy efficiency of production systems for various purposes. The subject of research is computer technologies of training and coaching of industrial enterprise personnel. The purpose of the study is to create tools aimed at training the staff of energy management services. The research is based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions is based on the Deming cycle, and the modeling of reactions of production systems is based on cases of quasi-stationary energy consumption of the technological system. The software platform of the proposed technology consists of software modules that reproduce the control cycle PDCA (Plan-Do-Check-Act) and the subject area of ​​training in the form of a software add-on. The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

The use of optical fiber for the creation of security systems for electrical cables of distribution networks of 0.4 kV

The article presents the results of research aimed at solving important production issues related to the theft of power cables and reducing the reliability of electrical networks with a voltage of 0.4 kV. To implement the security system, a single-mode optical fiber and a hardware and software complex for data processing were used. The results of the work can be used in security systems for various purposes, including telecommunications and construction systems. During the experiments, it was found that the photoelasticity effect occurs during mechanical action on the optical fiber, which causes changes in the refractive indices of the shell and core, while the properties of light change. In contrast to the known security systems and methods of fixing violations, a high-resolution television matrix is used, and not a photodetector device that records only changes in intensity. The television matrix is installed at the output of the optical fiber and records all changes in the light spot, and the hardware and software complex converts these changes into numerical values.

Situational analysis model in an intelligent system based on multi-agent neurocognitive architectures

An approach to the development of intelligent decision-making and control systems based on the hypothesis of the organization of neural activity of the brain in the process of performing cognitive functions is proposed. This approach, based on intelligent software agents with a developed cognitive architecture, is able to provide the process of extracting knowledge from an unstructured data flow, generalizing the knowledge and learning gained, to implement effective methods of synthesizing behavior aimed at solving various problems. A multi-agent model of situational analysis based on self-organization of distributed recursive neurocognitive architectures is presented. In particular, the basic principles of situational analysis based on multi-agent neurocognitive architectures are formulated and an algorithm for the preventive synthesis of the behavior of an intelligent agent aimed at avoiding negative situations for itself is developed. The performed computational experiment showed that on the basis of training the neurocognitive architecture by forming new agents-neurons and connections between them, a complex logical function of behavior control (in particular, situational analysis) develops (forms). The results of this study can be used to create intelligent decision-making and control systems for autonomous robots and robotic systems for various purposes.

Choosing effective solutions in conflict situations taking into account the interests of stakeholders

When choosing effective tactical and strategic decisions by business entities, it is necessary to take into account the interests of stakeholders. From the point of view of increasing competitiveness, the main importance should be given to competitors, as the most important external stakeholders. Competitors have directly opposite interests to the analyzed economic entities and have a negative impact on their activities, therefore, conflict situations arise. In this paper, we propose a method for selecting effective solutions, taking into account the interests of competitors as the most important stakeholders. The proposed methodology can be used in the analysis of systems for various purposes and includes the formation of the goals of the analyzed object, the identification and selection of competitors and the formulation of strategies of the parties to the conflict. The efficiency matrix is formed using the efficiency functions and the antagonism condition of the analyzed objects. The choice of effective solutions is made by choosing the principle of optimality. A special feature of the proposed methodology is the complex application of theories: competition theory, stakeholder theory, and antagonistic game theory. The proposed methodology can be used to evaluate the effectiveness of systems for various purposes: industrial enterprises, commercial organizations, investment projects, research organizations, etc.

Role of Restored Underwater Images in Underwater Imaging Applications

Underwater images are extremely sensitive to distortion occurring in an aquatic underwater environment, with absorption, scattering, polarization, diffraction and low natural light penetration representing common problems caused by sea water. Because of these degradation of quality, effectiveness of the acquired images for underwater applications may be limited. An effective method of restoring underwater images has been demonstrated, by considering the wavelengths of red, blue, and green lights, attenuation and backscattering coefficients. The results from the underwater restoration method have been applied to various underwater applications; particularly, edge detection, Speeded Up Robust Feature detection, and image classification that uses machine learning. It has been shown that more edges and more SURF points can be detected as a result of using the method. Applying the method to restore underwater images in image classification tasks on underwater image datasets gives accuracy of up to 89% using a simple machine-learning algorithm. These results are significant as it demonstrates that the restoration method can be implemented on underwater system for various purposes.

FEATURES OF CONTENT PRESENTATION IN MULTI-SCENARIO SYSTEMS

When software is developed, it is assumed that it can be used by different groups of users. The difference between these groups may be not only in the level of technical qualifications, but also in physiological and psychological differences, features of hardware, software, environment, and so on. Lead to the need of creation of the universal interface that can suit all users. Due to the fact that all users are different, this problem has no solution and in fact the interface corresponds to the property "least inconvenient" instead of "most convenient". The problem of adapting software and hardware to the conditions of use is solved by each team of developers with their own methods, but the approach to analyzing the problem and solutions is almost the same and comes down to building scenarios for the use of hardware and software. The article represent a general approach to the creation of multi-scenario systems for various purposes - electronic educational systems, hardware educational systems for the visually impaired, medical diagnostic systems. The following problems of development were solved in the article: adaptive intelligent interface, architecture and structure of adaptive intelligent interface and algorithms of functioning of adaptive system interface agents. The presented examples of hardware and software solutions, and the visualization of the model of the adaptive learning system will allow to develop own algorithms for the implementation of multi-scenario systems.

Approaches to management and assessment of the health of military services using information technologies

Introduction. At the present stage of developing domestic health care, active processes of informatization of the clinical diagnostic process are taking place. In most regions of the Russian Federation, various medical information systems are actively exploited in medical organizations, digital medical devices and devices are being introduced, which determines the relevance of the formation of a methodology for the use of information technologies in the health care system of military personnel. Materials and methods. The materials of literary sources, bibliographic databases, regulatory documents, research and development work data, materials of military-scientific support of military-medical information systems have been studied. The historical, literary and structural-logical approach, system analysis methods, comparison, composition, and decomposition were used. Results. This study proposes approaches to managing the health of servicemen and a system of its assessment using information technologies. Within the framework of the entire system of medical support for troops at the sectoral level, the ultimate goal of informatization is to construct a single information space for the medical service of the RF Armed Forces. It should be based on the use of unified personal electronic cards of military personnel, a single protected intradepartmental telecommunication network, and medical information systems for various purposes, depending on the level of a medical organization, unit or subdivision. In the informatization of the medical service, it is necessary to distinguish three primary levels, each of which develops its technologies and means of automation: personal (the level of an individual soldier); the level of medical organizations; the systemic level that determines the activities of the entire medical service. A personal electronic card of a serviceman should be used as an individual carrier of passport and medical information in military medical information systems. To decide on the medical and evacuation purpose of a particular patient at the admission and triage department of a medical company, it is necessary to ensure the formation of a protocol of medical and evacuation measures, which includes information from the electronic medical archive, vital activity sensors and medical care accounting systems. Conclusion. The capabilities of information technologies, vital activity sensors, electronic medical archives and communication channels should ensure the collection of relevant information about an individual patient for the needs of the treatment and diagnostic process, even when military medical organizations are deployed at the stages of medical evacuation. The integration of all information systems in the health care system of servicemen into a single information space must be carried out, taking into account the requirements of regional medical information systems and a unified state information system in the field of health.

Комп’ютерна сценарно-прецедентна технологія тренування енергоменеджерів

The article considers the topical issue of developing simulators for advanced training of specialists in energy efficiency management of industrial enterprises and utilities. The aim of the study is to develop the theoretical foundations of the use of computerized systems for training energy managers. The object of the study is the practical activities of the personnel of the enterprise, aimed at improving the energy efficiency of production systems for various purposes. The research method based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions based on the Deming cycle, and the modeling of reactions of production systems based on cases of quasi-stationary energy consumption of the technologi-cal system. The software platform of the proposed technology consists of a base of precedents for quasistationary energy consumption and software modules that reproduce the PDCA control cycle (Plen-Do-Check-Act). The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

System analysis of digital economy virtualization processes

The virtualization of socio-economic processes is expressed in the development of various types of economic activities in the Internet computer network, acting as the infrastructure of the modern economic system, a catalyst for globalization processes, and the main means of communication between computers, information systems of various purposes and complexity, and people. The study of the theoretical and methodological problem of digital economy virtualization processes is due to the importance of determining the structure of virtualization as a set of interconnected industries, consumption, markets, and finance on the Internet. The elements of the system combine the types of economic activities, which include entrepreneurship on the Internet, as well as information and intellectual activities. The study of this problem was carried out using empirical methods of cognition of the structure of the system analysis of digital economy virtualization processes, along with the use of scientometric methods for reviewing the methodology of the educational process for training digital economy personnel and improving their qualifications as a precursor to the design of production processes, consumption, market and financial processes occurring in a digital environment. The conducted studies make it possible to obtain scientific results in the field of structuring the socio-economic processes of virtualization, namely: a dichotomy of virtualization processes in the digital economy is proposed, taking into account the factor of education; the positive and negative consequences of virtualization for the economy and society as a whole are identified. It was concluded in the course of the study that the system analysis of digital economy virtualization processes should be based on the development of the educational component and reflect the environment of virtualization processes, including digital platforms, which, first, form the global infrastructure of the world economy; second, they contribute to the development of entrepreneurship; third, they provide production, consumer, market and financial functions and corporate governance; fourth, they are a source of network externalities that create new social and economic problems. The prospect for further research is the development of a model for assessing the impact of the structure of virtualization processes on economic growth in the digital economy.