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ДокументAcceleration of boolean gene regulatory networks analysis using FPGA(Національний технічний університет "Харківський політехнічний інститут", 2023) Vasylchenkov, Oleg; Salnikov, Dmytro; Karaman, DmytroGene expression does not occur arbitrarily and spontaneously, it obeys certain patterns that can be expressed as a connected graph or network. The disclosure of these patterns requires a large amount of experimental research and accumulation of necessary statistical information. Then this information is subjected to mathematical processing, which involves significant computing resources and takes a lot of time. Boolean networks are often used as the basis for building mathematical models in those calculations. Recently, models based on Boolean networks have increasingly grown in size and complexity causing increased demands on traditional software solutions and computing tools. Field-programmable gate arrays (FPGAs) are a powerful and reconfigurable platform for implementing efficient and high-performance computing. The use of FPGA will significantly speed up the process of calculating sequential chains of gene states, both through the use of hardware acceleration in the calculation of logical dependencies, and through the implementation of an array of parallel computing cores, each of which can perform its own individual task. Another solution that can significantly simplify the work of researchers of gene regulation networks is the creation of a universal computing architecture that will allow dynamic reconfiguration of its internal structure when the task or logical dependencies for the current Boolean network change. Such a solution will relieve the researcher of the need to perform the entire set of actions for the technological preparation of a new FPGA configuration, from making changes to the HDL code that describes the network to uploading the updated configuration to the hardware accelerator. The article discusses how to use FPGA for the implementation and modeling of arbitrary Boolean networks, describes the concept of a universal reconfigurable architecture of a logical dependency calculating core for an arbitrary Boolean network and proposes a practical implementation of such a calculating core for modeling gene regulation networks. ДокументAlgorithms for finding non-intersecting roads on images(Національний технічний університет "Харківський політехнічний інститут", 2023) Goyushova, Ulviyya MalikResearch relevance The use of GPS for UAVs to determine their current coordinates (navigation) leads to a number of problems. The development and improvement of the autonomous navigation method without the use of GPS is an actual issue, and this issue is considered in the article. The subject of study in the article is the issue of UAVs navigation based on video images. The purpose of work to develop an algorithm for autonomous navigation of UAVs that requires less resources. The following tasks are solved in the article: software modules are developed based on image processing algorithms; suitable model for invariant identification of curves was studied and applied. The following results were obtained: an algorithm was developed for the invariant identification of winding roads (curves) without intersections from different angles; developed software modules have been tested in the Republic of Azerbaijan on the basis of a map of the region called "Agsu Pass". Conclusions: the application of the method proposed in the article will enable rotation-invariant autonomous navigation of UAVs using less resources. ДокументAnalysis of marсovian systems with a given set of selected states(Національний технічний університет "Харківський політехнічний інститут", 2022) Raskin, Lev; Sukhomlyn, Larysa; Korsun, RomanAnalysis of stationary Marcovian systems is traditionally performed using systems of linear Kolmogorov differential equations. Such systems make it possible to determine the probability of the analyzed system being in each of its possible states at an arbitrary time. This standard task becomes more complicated if the set of possible states of systems is heterogeneous and some special subset can be distinguished from it, in accordance with the specifics of the system functioning. Subject of the study is technology development for such systems analysis. In accordance with this, the purpose of the work is to find the distribution law of the random duration of such a system's stay on a set of possible states until it falls into a selected subset of these states. Method for solving the problem is proposed based on splitting the entire set of possible states of the system into two subsets. The first of them contains a selected subset of states, and the second contains all the other states of the system. Now a subset of states is allocated from the second subset, from which a direct transition to the states of the first subset is possible. Next, a system of differential equations describing the transitions between the formed subsets is formed. The solution of this system of equations gives the desired result – distribution of the random duration of the system's stay until the moment of the first hit in the selected subset of states. The method allows solving a large number of practical problems, for example, in the theory of complex systems reliability with many different failure states. In particular, finding the law of the uptime duration distribution, calculating the average duration of uptime. ДокументAnalysis of text augmentation algorithms in artificial language machine translation systems(Національний технічний університет "Харківський політехнічний інститут", 2023) Havrashenko, Anton; Barkovska, OlesiaThe work is devoted to the development of an organizational model of the machine translation system of artificial languages. The main goal is the analysis of text augmentation algorithms, which are significant elements of the developed machine translation system at the stage of improvement of new dictionaries created on the basis of already existing dictionaries. In the course of the work was developed a model of the machine translation system, created dictionaries based on texts and based on already existing dictionaries using augmentation methods such as back translation and crossover; improved dictionary based on algorithms of n-grams, Knuth-Morris-Pratt and word search in the text (such as binary search, tree search, sqrt decomposition). In addition, the work implements the possibility of using the prepared dictionary for translation. Obtained results can improve existing systems of machine translation of the text of artificial languages. Practical significance of this work is the analysis and improvement of text augmentation algorithms by changing the prefix tree type. Compared to the conventional algorithm, the improved algorithm reduced the memory usage by almost 13 times, which allows it to be used on much larger test data. This was achieved by changing the internal system of the node of the prefix tree from constant references to an expandable list. ДокументAnalysis of the sound event detection methods and systems(Національний технічний університет "Харківський політехнічний інститут", 2022) Kovalenko, Andriy; Poroshenko, AntonDetection and recognition of loud sounds and characteristic noises can significantly increase the level of safety and ensure timely response to various emergency situations. Audio event detection is the first step in recognizing audio signals in a continuous audio input stream. This article presents a number of problems that are associated with the development of sound event detection systems, such as the deviation for each environment and each sound category, overlapping audio events, unreliable training data, etc. Both methods for detecting monophonic impulsive audio event and polyphonic sound event detection methods which are used in the state-of-the-art sound event detection systems are presented. Such systems are presented in Detection and Classification of Acoustic Scenes and Events (DCASE) challenges and workshops, which take place every year. Beside a majority of works focusing on the improving overall performance in terms of accuracy many other aspects have also been studied. Several systems presented at DCASE 2021 task 4 were considered, and based on their analysis, there was a conclusion about possible future for sound event detection systems. Also the actual directions in the development of modern audio analytics systems are presented, including the study and use of various architectures of neural networks, the use of several data augmentation techniques, such as universal sound separation, etc. ДокументApplication of association rules for formation of public (administrative) services portfolio(Національний технічний університет "Харківський політехнічний інститут", 2022) Гавриленко, Олена Валеріївна; Хоменко, Олександр Миколайович; Жураковська, Оксана Сергіївна; Коган, Алла Вікторівна; Піскун, Андрій Михайлович; Халус, Олена АндріївнаThe formation of complex services is carried out exclusively according to the principle of association based on a life (business) event or situation. But as practical experience shows, users often request several services at the same time, and these services are not connected by one life event. This can be seen if you analyze the statistical data on service delivery by service delivery centers. The application of intelligent data analysis allows to reveal the hidden relationship between services. Based on this, a new principle of combining services was formulated. The object of research is the process of forming a portfolio of services based on association rules. An algorithm for forming a portfolio and providing recommendations for a decision-maker has been developed. Recommendations are presented in the form of sets of services that can be included in a portfolio. The application of this principle will allow to expand the set of complex services due to new portfolios. This will simplify and improve the service delivery process for both authorities and users. ДокументBiometric authentication utilizing convolutional neural networks(Національний технічний університет "Харківський політехнічний інститут", 2023) Datsenko, Serhii; Kuchuk, HeorhiiCryptographic algorithms and protocols are important tools in modern cybersecurity. They are used in various applications, from simple software for encrypting computer information to complex information and telecommunications systems that implement various electronic trust services. Developing complete biometric cryptographic systems will allow using personal biometric data as a unique secret parameter instead of needing to remember cryptographic keys or using additional authentication devices. The object of research the process of generating cryptographic keys from biometric images of a person's face with the implementation of fuzzy extractors. The subject of the research is the means and methods of building a neural network using modern technologies. The purpose of this paper to study new methods for generating cryptographic keys from biometric images using convolutional neural networks and histogram of oriented gradients. Research results. The proposed technology allows for the implementation of a new cryptographic mechanism - a technology for generating reliable cryptographic passwords from biometric images for further use as attributes for access to secure systems, as well as a source of keys for existing cryptographic algorithms. ДокументComputer simulation model of a computer network with fractal traffic for testing routing algorithms(Національний технічний університет "Харківський політехнічний інститут", 2022) Drieieva, Hanna; Meleshko, Yelyzaveta; Drieiev, Oleksandr; Mikhav, VolodymyrThe object of research in this article is simulation modeling of a computer network and the process of traffic routing. The relevance of the research is due to the importance of ensuring the quality of service in computer networks, in particular, by necessity reducing the number of lost IP-packets at high traffic intensity values. Determining the routing of traffic packets is a complex process and is based on various indicators or combinations of indicators. If the routing process takes place in a dynamic mode, then the complexity of the route calculation increases, in this case, one of the tools for research and comparison of different routing algorithms can be a computer simulation model of a computer network. The goal of the work is the development and research of a computer simulation model of a computer network for testing traffic routing algorithms. The tasks: to develop computer simulation model of a computer network to generate the network structure and simulate the traffic distribution process with the ability to test different routing algorithms. Research methods: theory of computer networks, theory of fractal analysis, object-oriented programming, theory of algorithms and data structures, theory of complex networks, theory of Markov processes. Conclusions. The paper investigated the basic principles of traffic routing in computer networks. A simulation model of a computer network for testing traffic routing algorithms has been developed. A method based on the theory of complex networks has been developed to generate the structure of a computer network. Theory of fractal analysis and Markov processes are used for traffic generation. A series of experiments was conducted on a developed model to determine how different fractal dimensions of traffic at high traffic intensity values affect the number of lost packets, and therefore the quality of service. Analyzing the results of the experiment, the following conclusions can be drawn: the least number of lost packets occurs when the process is random or has weak trends. The fewest lost packets were at fractal dimension 1.5, i.e., when the process is completely random, there were also few lost packets at fractal dimensions close to this; persistent and anti-persistent processes (those with memory) cause more packet loss for the same traffic intensity and maximum number of packets sent from one device per unit of time. Moreover, anti-persistent processes cause significantly more losses than persistent ones. Thus, when performing traffic routing and finding optimal paths for sending IP-packets, it can be useful to determine and take into account the fractal dimension of traffic at the entrance of each router and use it when calculating metrics to determine the best routes. ДокументThe concept of performing the addition operation in the sistem of residual classes(Національний технічний університет "Харківський політехнічний інститут", 2022) Krasnobayev, Victor; Koshman, Sergey; Kovalchuk, DmytroThe subject of the article is the development of a method for implementing the arithmetic operation of adding the residuals of numbers, which are represented in the system of residual classes (RNS). This method is based on the use of positional binary adders. The purpose of the article is to improve the performance of computer systems (CS) and their components by introducing new ways of organizing calculations based on the use of RNS. Tasks: to analyze and identify the shortcomings of the existing number systems that are used in the construction of computer systems and components; explore possible ways to eliminate the identified deficiencies; explore the structure of binary positional adders, taking into account the scheme for adding two residues of numbers modulo RNS; to develop a method for constructing adders modulo RNS, which is based on the use of a set of binary single-digit positional adders. Research methods: methods of analysis and synthesis of computer systems, number theory, coding theory in RNS. The following results are obtained. The paper shows that one of the promising ways to improve the performance of the CS is the use of RNS. The mathematical basis of RNS is the Chinese remainder theorem, which states that an integer operation on one large modulus can be replaced by a set of operations on coprime small modules. This opens up broad prospects for optimizing calculations. On the one hand, it is possible to significantly simplify the performance of complex and cumbersome calculations, including on low-resource computing platforms. On the other hand, calculations for different modules can be performed in parallel, which increases the performance of the CS. Conclusions. The article considers the operation of adding two numbers. This operation is the basis for both traditional positional number systems and RNS, i.e. forms the computational basis of all existing CS components. A new method for calculating the sum of the residuals of numbers modulo an arbitrary is proposed, and examples are given that clearly demonstrate the effectiveness of the proposed method. This method can be used in various computer applications, including for improving computing performance, ensuring fault tolerance, etc. ДокументDevelopment of an improved hierarchical control system using the metaheuristic PID tuner for DC microgrids(Національний технічний університет "Харківський політехнічний інститут", 2022) Yusubov, Elvin; Bekirova, LalaThis paper presents the development of the improved hierarchical control system using the metaheuristic centralized PID tuner for DC microgrids. Hierarchical control is one of the best control strategies employed in photovoltaics (PV) based DC microgrids with three layers of primary, secondary, and tertiary controllers in which PID control is at the center of each one of these three layered control levels. The principal objective of the primary controller is to ensure near-equal power sharing among the units and of the secondary controller is to correct the deviations in the common DC link, while the tertiary controller is used to manage the energy flow among DC microgrids or between DC microgrid and the main utility grid. Partial shading, the uncertain nature of solar irradiation, and varying temperatures significantly reduce the overall power efficiency of traditionally tuned PID control-based hierarchical systems, since the tuning gains of these PID controllers are not adaptive to the dynamic processes. To optimize the control process, a novel hierarchical system is considered in which PID gains of primary, secondary, and tertiary controllers are tuned with metaheuristic moth-flame optimization to adapt to the variations. Matlab/Simulink simulations are performed to verify the efficiency of the proposed approach. The results highlight the superiority of the proposed method by utilizing process adaptive gains. ДокументDevelopment of the double-contour protection concept in socio-cyberphysical systems(Національний технічний університет "Харківський політехнічний інститут", 2022) Pohasii, Serhii; Milevskyi, Stanislav; Tomashevsky, Bohdan; Voropay, NatalyaThe rapid development of mobile Internet technologies LTE (Long-Term Evolution) not only predetermined the further development of cyber-physical systems, which are based on the synthesis of technologies of classical computer systems and LTE technologies, as well as integration with Internet-of-Things technologies. As a result, the emergence of sociocyberphysical systems predetermines further development based on this integration. The creation of mesh- and sensor networks also allows the development of smart technologies and systems based on their conglomeration. The development and creation of a quantum computer, on the one hand, will make it possible to make a technical breakthrough in computing resources, use artificial intelligence, and on the other hand, it can lead to "chaos" in ensuring the security of modern technologies and systems. So, based on the algorithms of Shor and Grover quantum cryptography, symmetric cryptosystems based on traditional cryptography algorithms, as well as asymmetric cryptosystems, including systems based on elliptic curve cryptography, can be broken. The paper proposes to use a new approach to building security systems based on the concept of internal and external security contours. At the same time, security contours of continuous business processes are considered. This approach provides an objective assessment of the current state of security of the socio-cyber system as a whole. ДокументDevelopment of the estimating methodology of a 5TDF engine motor resource consumption under different operating modes of the machine(Національний технічний університет "Харківський політехнічний інститут", 2022) Makogon, Helen; Sirosh, Vitaliy; Guba, Serhiy; Lavrut, Oleksandr; Zagrebelnuy, Sergiy; Rudiy, AndriyThe subject matter of the article is accounting for the motor resource of the 5TDF tank engine under different operating modes. The goal of the study is to development of a methodology for estimating the consumption of a motor resource of a 5TDF engine under different operating modes of the machine. The tasks to be solved are: based on the analysis of data on the operating modes of the 5TDF engine, to determine a set of parameters that give empirical and analytical estimates of the consumption of the motor resource of the machine; to request analytical estimates of the consumption of the 5TDF engine motor resource in terms of the number of years' service in different machine operating modes; to propose a mechanism for the processing of numerical values, depending on the results of the statistical processing of these machine operation data. General scientific and special methods of scientific knowledge are used. The following results were obtained: A continuous functional dependence of the actual number of hours spent by the engine on the values of the meter per hours at different speeds, allow more careful accounting of engine consumption, but will involve the development of special devices based on modern elements has been determined. ДокументDevelopment of the methods for calculating the main indicators of heat islands in urban areas(Національний технічний університет "Харківський політехнічний інститут", 2022) Bekirova, Lala; Mammadova, Esmira; Bunyatova, ElviraThe article is dedicated to the methods developed to calculate the main parameters of "heat is lands" that appear in densely built-up urban area. Although remote sensing imaging is ideally used to track and detect frequent land cover changes in urban and surrounding areas as a result of sustainable urbanization and to calculate key parameters of "heat islands" seen in densely populated urban areas, satellite imagery is digitally manually The transformation of a parametric image into a land cover map using existing methods of classification is a long process, and therefore methods are proposed to determine the main indicators of the impact of "heat islands" in urban areas. A modified building density index has been formulated, which is highly informative, involving: (a) the proposed index reaches an extremum when the known building density index BDI and NDVI are equalized, (b) when the specified maximum is reached, it is easy to calculate the LST indicator using the known regression dependences of BDI and NDVI from LST. The method has been developed to calculate the area of "heat islands" on the base of the equivalent radius calculation using the known dependence function of the building density on the distance to the center of the urban area. Our study shows that the distribution of buildings and the slope of the relief affect the surface temperature (LST), in addition, the ratios of different LSTs vary in cities of different sizes, and each city has a temperature difference in LSTs, so the urban heating island To reduce the impact, it is important to identify the characteristics of the thermal environment in cities of different sizes. Urban greening is increasingly valued by cities around the world as an effective measure to reduce the negative effects of the urban heating islands, with different numbers and types of landscape dimensions, different statistical methods used in different surveys, as well as metric scale dependence and contextual differences between cities and we can overcome these challenges by conducting comparative research on time and space using a consistent methodology. ДокументDiagnosis methods for mechanisms and machines based on empirical mode decomposition of a vibrosignal and the wilcoxon test(Національний технічний університет "Харківський політехнічний інститут", 2022) Zuev, Andrey; Ivashko, Andrey; Lunin, DenisMethods for diagnosing mechanisms and machines based on the analysis of vibration signals are considered. In particular, the comparison of various algorithms for analyzing vibration signals in the time and frequency domains was made, methods for selecting diagnostic features and methods for secondary processing were analyzed. The purpose of the study is to develop algorithms for selecting the vibration signal envelope based on empirical mode decomposition and decomposition of the signal into intrinsic mode functions, algorithms for the spectral estimation of envelopes and to choose a criterion for making a decision on object classification. It is proposed to choose the non-parametric Wilcoxon signed-rank test to determine the statistical significance of the difference between the parameters of normal and faulty objects. The multichannel microcontroller system for collecting data from an accelerometer and transmitting it to a computer via a local Wi-Fi network, including a number of independent data gathering nodes connected to a common distributed computing system, has been developed and experimentally studied. The computer processing of the recorded vibration signals for serviceable and faulty mechanisms was performed, including data decoding, Hilbert-Huang transform, spectral analysis using the Welch and Yule-Walker methods, and the choice of a diagnostic feature that provides maximum reliability of recognition. Based on the results of the work, it was determined that the empirical mode decomposition makes it possible to obtain vibration signal envelopes suitable for further diagnostics. Recommendations are developed for choosing the intrinsic mode function and the spectral analysis algorithm, it is determined that the first intrinsic mode function is the most informative for the mechanism under study. In accordance with the Wilcoxon criterion, the degree of diagnostic reliability was numerically determined in the analysis of the spectral power density of the vibration signal and the amplitude of peaks, and the comparison of probabilities of error-free recognition for various modifications of the algorithm was made. ДокументDiagnosis of systems under conditions of small initial data sampling(Національний технічний університет "Харківський політехнічний інститут", 2023) Raskin , Lev; Karpenko, Viacheslav; Ivanchykhin, Yuriy; Sokolov, DmitroObject of the study is to assess systems state in conditions of a small sample of initial data. Relevance of the problem is as follows. The functioning of a significant number of real objects takes place under conditions of poorly predicted changes in the values of environmental factors affecting system efficiency. The resulting heterogeneity of the results of objects experimental study and the environment of their functioning leads to reduction in sample size. At the same time, the standard requirements regarding the correspondence of the number of experiments and the number of coefficients of regression equation determining system state are not met. Purpose of the study is to develop methods for assessing systems state operating in a changing environment, in conditions of small sample of initial data. Tasks to be solved to achieve the goal: the first is the equivalent transformation of the set of observed initial data forming a passive experiment in aggregate into an active experiment, which corresponds to an orthogonal plan; the second is the construction of a truncated orthogonal representative sub-plan of the general orthogonal plan obtained as a result of solving the first problem. Research methods: statistical methods of experimental data processing, regression analysis, method for solving a triaxial boolean assignment problem. The results obtained: orthogonal representative subplan of the complete factorial experiment being formed makes it possible to calculate a truncated regression equation containing all the influencing factors and their interactions. Analysis of the coefficients of this equation by known methods makes it possible to cut off its insignificant elements. ДокументDigital twin value in intelligent building development(Національний технічний університет "Харківський політехнічний інститут", 2023) Zakharchenko, Anastasiya; Stepanets, OleksandrThis article discusses the use of the Digital Twin in automation and its impact on the resulting solution. The research aims to illuminate the Digital Twin concept explanation and systematise the knowledge base and fulfill information gaps. Research results. The paper overviews the history of the concept and determines the main phases of Digital Twin development. The significant attention was paid to the classification issue to show the huge variation depending on Digital Twin‘s purpose, lifecycle phase, the scale of the physical twins and data amount in order to explain the twin‘s relation and the hierarchy of complex system. The defined capabilities and values of the concept identify the possible use cases and explain the potential benefits of Digital Twin implementation. Also, this paper takes a look at the use of Digital Twin in the area of building automation. This concept potentially may act as the integration platform for building management systems (BMS) and building information modelling (BIM) technologies with IoT solutions. The discussion of Digital Twin implementation for the building automation complex is presented. We conclude that the Digital Twin can integrate human factor to the control system by using the indexes of climate satisfaction, the feedback functionality and human-machine interfaces. As a result, the improvement of system efficiency depends on the coordination and orchestration of equipment operating mode. Conclusion. The Digital Twin has a high potential for energy efficiency improvements, as it considers many factors, integrates a huge amount of data and continuously improves themselves with real-world data. ДокументEffect of ambient temperature on thermodynamic temperature measurements(Національний технічний університет "Харківський політехнічний інститут", 2022) Iskandarov, NabiThe development of science and technology is closely related to the use of measuring instruments. Measurements are one of the ways to know nature as a process and help to make scientific discoveries and apply these discoveries in production and technology. Measurements are also of great importance as the only means of monitoring technological processes in various fields of industry and production processes. Properly organized measurements ensure the reliability, economy and convenience of conducting production processes, as well as provide opportunities for their extensive automation. In addition, it is not possible to provide safe and trouble-free maintenance of production processes and facilities without using measurement tools. Today, the national economy of the country is provided with a large arsenal of measuring instruments of both domestic and foreign production, from the simplest primary converters and measuring devices to complex automatic tools and systems that allow controlling technological devices and complex production using information and computers. A wide variety of measuring tools requires the right choice for specific purposes. In this regard, one of the important issues is the question of their metrological assurance. Accurate and correct measurements performed during technological processes lead to an increase in product quality, a reduction in waste products, as well as a minimization of time and material losses. For this reason, ensuring the accuracy of temperature measurements performed in technological processes is one of the most urgent issues today. The research work has shown that the most important part of the error of the temperature measurements is the influence of the environment on the measurement process. For this reason, the amount of this effect was determined and analyzed during the research work. ДокументEfficiency of supplementary outputs in siamese neural networks(Національний технічний університет "Харківський політехнічний інститут", 2023) Melnychenko, Artem; Zdor, KostyantynIn the world of image analysis, effectively handling large image datasets is a complex challenge that requires using deep neural networks. Siamese neural networks, known for their twin-like structure, offer an effective solution to image comparison tasks, especially when data volume is limited. This research explores the possibility of enhancing these models by adding supplementary outputs that improve classification and help find specific data features. The article shows the results of two experiments using the Fashion MNIST and PlantVillage datasets, incorporating additional classification, regression, and combined output strategies with various weight loss configurations. The results from the experiments show that for simpler datasets, the introduction of supplementary outputs leads to a decrease in model accuracy. Conversely, for more complex datasets, optimal accuracy was achieved through the simultaneous integration of regression and classification supplementary outputs. It should be noted that the observed increase in accuracy is relatively marginal and does not guarantee a substantial impact on the overall accuracy of the model. ДокументEvaluation model of the recovery processes of non-markovian systems, considering the elements unreliability under arbitrary distribution laws(Національний технічний університет "Харківський політехнічний інститут", 2022) Raskin, Lev; Ivanchikhin, Yuriy; Sukhomlyn, Larysa; Svyatkin, Iaroslav; Korsun, RomanThe subject of the study is the reliability of recoverable non–Markovian systems, functioning of which is described by arbitrary distribution laws. The purpose of the article is to develop a mathematical model of the functioning of modern computer systems under arbitrary laws of the distribution of stay duration in each of the states, taking into account the recovery system and the provision of spare elements. The main task is to develop an adequate model of the system functioning process, taking into account the non-Markovian character of the processes occurring in the system, its possible large dimension, and the presence of a hierarchical recovery system. Based on this model, a method for calculating the density of the system recovery time distribution has been developed. At the same time, a universal four-parameter distribution is proposed to describe random processes occurring in the system. Using this approximation, the calculation of the desired parameter of the recovery flow is performed by solving the Volterra integral equation with a difference kernel. ДокументEvaluation of system controlled parameters informational importance, taking into account the source data inaccuracy(Національний технічний університет "Харківський політехнічний інститут", 2023) Raskin, Lev; Sukhomlyn, Larysa; Sokolov, Dmytro; Vlasenko, VitaliiThe purpose of the study is to improve the standard methodology for controlled parameters information value assessing. The proposed method is based on the controlled parameters value probabilities analysis falling into the subintervals of the interval of possible values for different states of the system. When the value of the controlled parameter falls into the left or right boundary subintervals of the compatibility interval for any state of the object, the conclusion about its state is made taking into account possible errors of the first or second kind in this case. When the controlled parameter value enters the central subinterval, useful information appears if the corresponding probabilities for the states H₁ and H₂ are differ significantly. Thus, it is shown that taking into account the probabilities of fuzzy values of the controlled parameter falling into the compatibility interval for various states of the object significantly increases its informational value.