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The article presents an approach to the design of complex software systems based on special linguistic constructions in the form of Backus-Nour forms and syntactic diagrams. The goal is to create special mathematical and software that would formally describe the components of the designed software system for the study of a complex object, as well as visually form the structure and algorithmic component of the system. As a result, a formal language for describing discrete-continuous objects has been developed, which ensures the unification of the display of static and dynamic objects by introducing a generalized "element" construction; special mathematical software has been created for the formal description of complex systems, allowing to obtain syntactic constructions of minimal complexity due to the orthogonality of linguistic means; algorithms for processing language constructions have been created that take into account the parallelism of the processes of the studied objects and ensure the automated creation of a class system of special software. [ABSTRACT FROM AUTHOR]

The article completes the study of solutions to the problem of creating distributed QoS monitoring control in IoT and IIoT telecommunications. A multi-agent architecture is used. For the proposed structure of the LSTM network, approaches to the process of its training (configuring the network configuration) are considered, based on the representation of this process in the form of a Markov decision-making process, which made it possible to solve the problem of determining the training times of the network within one epoch, as well as its retraining using a variant of the dynamic programming method -- the iteration algorithm by values, which In the future, it allows you to proceed to the synthesis of an iterative algorithm for dynamically configuring the parameters of the developed LSTM network. [ABSTRACT FROM AUTHOR]

The article continues to review the approach to designing the architecture of a distributed information monitoring system and quality management of communication services provided by the infrastructures of the Internet of Things and the industrial Internet of Things, based on solutions that support machine-to-machine and human-machine interaction. The development of a neural network model of an intelligent monitoring agent based on a recurrent neural network with a long chain of short-term memory elements is proposed. The matrix structure of the LSTM network memory cell is proposed, which takes into account the spatio-temporal correlation of load parameters associated with the time lag of its propagation and is a matrix of connectivity of LSTM network hyperparameters and accumulated values of load parameters of monitoring nodes in the vicinity of a controlled monitoring node, taking into account the characteristics of the time series of propagation of load in stationarity moments.. [ABSTRACT FROM AUTHOR]

The article considers an approach to designing the architecture of a distributed information monitoring and quality management system for communication services provided by the Internet of Things and Industrial Internet of Things infrastructures based on solutions supporting machine-tomachine and human-machine interaction. The choice of a neural network with long Short-Term memory (LSTM) is justified as a theoretical basis for modeling the active node of an information monitoring system. The developed structure of the LSTM network is presented, taking into account the spatial and temporal correlation of the obtained indicators at various observation points of the distributed information monitoring system. The criteria for evaluating the effectiveness of the proposed model for the conditions of information monitoring of non-stationary load in a mode close to real time are substantiated. [ABSTRACT FROM AUTHOR]

The article devoted to the approaches to algorithmization of the information management system of a distributed service enterprise. The study of the dependence of the optimal capacity of the service system center on the service area was carried out. The mechanism of optimization of the service area, taking into account organizational and economic constraints, as well as optimization of the service area for mobile sources of applications, is investigated. Processing customer requests must meet the requirements of efficiency, reliability, and efficiency of the corporate information network. In the presence of a single office of a service company, it is not always possible to find an optimal or close to optimal query processing algorithm in terms of performance. The problem of the optimal service area without taking into account restrictions in order to maximize the profit of the enterprise is considered. Models of the functioning of the decision-making subsystem for servicing requests by a service enterprise have been developed, differing in taking into account the service area and the spatial stationarity of customers. [ABSTRACT FROM AUTHOR]

The article extends the authors' previous research to the case of discrete response functions. A process consisting of sequential operations is considered. For each operation, you can determine the currently available probability of its error-free (high-quality) execution. By the qualitative performance of the operation, we will understand the achievement of a given level of quality in quantitative proportion to the overall level. The purpose of the article is to build a quality management strategy in which a set of probabilities of quality levels not less than a certain threshold value is achieved, with minimal costs for carrying out appropriate measures. The corresponding optimization problem is presented and a heuristic multistep algorithm for its solution is given. [ABSTRACT FROM AUTHOR]

A process consisting of sequential operations is considered. For each operation, you can determine the currently available probability of its error-free (high-quality) execution. By the qualitative performance of the operation, we will understand the achievement of a given level of quality in quantitative proportion to the overall level. The purpose of the article is to build a quality management strategy in which a set of probabilities of quality levels not less than a certain threshold value is achieved, with minimal costs for carrying out appropriate measures. The article presents the decomposition of operations into activities; classification of activities into activities with conditionally linear or asymptotic response; quality assessment in a multi-level control system with response functions of various types; optimization problems and their algorithmic solutions. [ABSTRACT FROM AUTHOR]

Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. At the stage of identification of graphic objects, it is established that the found dynamic object belongs to the class of objects of interest based on a comparative analysis of its contours with a given template. The article is the final in a series of articles devoted to theoretical, algorithmic and software components of the video analytics system. The description of the structural components of the video analytics system, the features of the implementation of the dynamic object detection module on video sequences, and the evaluation of the efficiency of the system is presented. [ABSTRACT FROM AUTHOR]

Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. At the stage of identification of graphic images, the affiliation of the found dynamic object to the class of objects of interest is established on the basis of a comparative analysis of its contours with a given template. The article continues the cycle of research in which the identification process is considered and the algorithm of machine graphics is given. A description of the interaction of the structural components of the video analytics system is presented. [ABSTRACT FROM AUTHOR]

Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. At the stage of identification of graphic images, the affiliation of the found dynamic object to the class of objects of interest is established on the basis of a comparative analysis of its contours with a given template. The identification process is considered and the algorithm of machine graphics is given, including, firstly, image preprocessing using the Gauss smoothing operator, secondly, the search for object boundaries using the Kenny operator, thirdly, image post-processing for interpolation of the obtained discontinuous contours of the object using mathematical morphology operations and local processing of a set of contours. [ABSTRACT FROM AUTHOR]

Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. Among such systems, we will single out real-time monitoring, the requirements for an image processing system in which are very strict. At the same time, the traditionally high complexity of images is in contradiction with the need for fast processing. One of the ways to resolve the contradiction is to represent a series of images as a sequence of additions and changes to the previous image in the next. An important component of such a representation is the search for motion vectors and the corresponding algorithms for searching for such vectors. A new algorithm based on an analytical solution is obtained and provides a multiple compression ratio by eliminating the temporary redundancy of data determined by a high correlation between adjacent frames of video sequences. [ABSTRACT FROM AUTHOR]

Software testing is one of the key stages in the development of a digital device based on a microcontroller. The article discusses the features of the implementation of algorithms for the functioning of the microcontroller software testing system based on finite automata. An enlarged block diagram of a testing system at the software and hardware levels is presented, a model of such a system using the theory of finite automata is presented. A detailed finite automaton for the testing process model has been formed, its states have been determined and algorithms for operation are given. [ABSTRACT FROM AUTHOR]

The object of the research is a project containing a set of mutually dependent jobs with a random duration of execution. A special feature of the task is the different duration of jobs by different performers. The goal is to build a maintenance schedule and assign specialists to each job, minimizing the duration of the project. Genetic algorithm was chosen as the method. The article describes the general scheme of solving the problem by a genetic algorithm and details some of its stages. [ABSTRACT FROM AUTHOR]

The object of the research is a project containing a set of mutually dependent jobs with a random duration of execution. The goal is to build a simulation model that provides the ability to estimate a random variable describing the duration of the project, the distribution law of this quantity, as well as the probability of completing the project in a given time interval. The urgency of this task is due to the fact that existing approaches do not always differ with acceptable accuracy. [ABSTRACT FROM AUTHOR]

Despite the rich theoretical and practical experience of research in computer networks, current trends in the development of network information technologies require new approaches to solving the problems of optimal management of large corporate computer networks. The analysis of existing routing and switching algorithms is carried out, future-leaning directions of increasing the efficiency of routing algorithms in transient network operation modes are determined. An algorithm for multi-parameter routing is created. It supports the TCP/IP family network protocols and provides efficient network management at a high intrinsic convergence rate by considering alternative shortest routes. [ABSTRACT FROM AUTHOR]

The problem of object monitoring is considered. It is necessary to constantly collect information that is quite rare over a large area and stored on various remote objects (servers). The fact that information is rare implies its special value. The current task is to minimize the total time for searching and processing information throughout the system. All remote servers are divided into groups of equal capacity. For each group, a server is allocated that will store up-to-date information about the availability of the necessary information. It is shown that if you first search for the availability of the necessary information on servers that control groups of servers, you can significantly reduce the search due to the fact that it is not necessary to search for the necessary information on all servers. You can only do this on servers that have traces of the necessary information and the group of servers that this server controls. The paper shows that using further grouping of servers, you can significantly reduce the search time for the necessary information. [ABSTRACT FROM AUTHOR]

In the paper the sequence of actions for the formation of an optimization model and an algorithm for the intellectual support of the process of rating management of the distribution of resource support in the organizational system are discussed. We can see a set of features in the structure of the rating management system. On the base of features it is possible to establish a sequence of particular management tasks that form a single decision-making cycle. Extreme and boundary requirements can be formed on the base of optimization model. We can do it when the interests of the management center of the system and the administration of the objects included in it in the distribution of resource support are corresponding. It will improve the position of the object in the rating. The intellectual support algorithm is based on a game approach to solving the block linear programming problem. [ABSTRACT FROM AUTHOR]

Modern possibilities of digital transformation in socio-economic systems increase the possibility of intensive interaction of objects of these systems regardless of their geolocation. In the new conditions, the effectiveness of the operation of geographically distributed objects of the main organizational system depends on the degree of influence of the results of their activities on the objects of the organizational system associated with the main system. A set of procedures has been developed for a multivariate analysis of spatio-temporal information and the interaction of geographically related socio-economic systems, focused on the intellectualization of managerial decision-making. The structure of the control system for geographically connected socio-economic systems has been formed and algorithms for the intellectual support of managerial decision-making have been developed. The analysis of the effectiveness of the use of intellectualization in the practice of managing geographically related socio-economic systems is carried out. [ABSTRACT FROM AUTHOR]

The work is devoted to the compilation of a schedule for multistage servicing systems from the point of view of a generalized resource criterion. The basis of this algorithm is the set of heuristics that allow making a decision on the performance the job at a given time or executing it later. As a result, an algorithm that determines the set of jobs that must be started at a given time was developed. The novelty lies in the use of heuristics, allowing to solve this problem from the point of view of the selected criterion. [ABSTRACT FROM AUTHOR]

The paper discusses the characteristic features of complexly structured objects, identifies the type of objects with structurally variable control. The properties of objects of the considered type are determined. The analysis of the features of the management process of such objects is carried out, on the basis of the results of which the problems arising from their functioning are highlighted. Research on the methods of increasing the efficiency of their use based on the results of optimization modeling is carried out. The generalized scheme can be represented as follows: the formation of the parameters of the optimization model of the object; determining the degree of significance of the criteria of optimality; formalized representation of the optimization model of the problem being solved; selection of numerical methods and algorithms for finding the optimal solution; verification of the values obtained during the solution for optimality. [ABSTRACT FROM AUTHOR]

A complex of prognostication models focused on its implementation in the control systems of hazardous industrial enterprises. Methods of prognostication of the emergencies on the basis of thermodynamic, linguistic and neural network concepts are considered. The results of the comparative analysis of these emergencies prognostication models are given for the extreme technological processes. Recommendations are given on the composite implementation of these models in the industrial systems of accident-free management. The composite model of prognostication and integrated criterion of accident-free management is offered as a functionality which represents the superposition of indicators of each model. [ABSTRACT FROM AUTHOR]

In this paper, the object of the study is multistage systems, at the input of which comes a stream of requests that require executing a set of serial-parallel jobs for their support. The subject of the research is the optimization of the problem of assigning jobs to executors in such a system. As a result, a formalization of the problem is proposed, including a nonlinear objective function and recursive constraints. [ABSTRACT FROM AUTHOR]

Due to the fact that cloud computing bring with them new challenges in the field of information security, it is imperative for organizations to control the process of information risk management in the cloud. This paper proposes a risk assessment approach for assessing the potential damage from the attack on the implementation of components of confidential data and justify the need for the inclusion of private clouds with a high degree of protection in a hybrid cloud computing environment. Suggested approach to information security risk estimation allows conduction of cloud environment security functioning in conditions of considered vulnerability class influence and also an effectiveness of measure and facility complex to withstand these vulnerabilities. On the basis of received estimation an opportunity to choose between different variants of cloud computing environment configuration and choose more appropriate way according to security requirements arises. [ABSTRACT FROM AUTHOR]

The authors considered numerical methods of structural optimization of modular electrodynamic objects and selected some effective procedures that allow creating objects with given properties. A block diagram of the combined algorithm containing the calculation and optimization part is presented. To calculate the characteristics of the scattering of electromagnetic waves, the method of integral equations is used. This method was also used to determine the radar cross section (RCS). In the article, the dimensions of an object with a complex structure are obtained, which give the minimum mean RCS values. The presented combined algorithm can be used in CAD systems for the design of complex electrodynamic objects. [ABSTRACT FROM AUTHOR]

The use of cloud technologies in the activity of an educational organization provides certain advantages and creates new opportunities both for inclusion in the educational process and for forming a management system for the educational organization with new opportunities. However, a number of security issues arise, the solution of which may affect the use of cloud technologies. Particular attention is paid to promising technologies and services that can be used both in the management of the educational organization and in the process of training. [ABSTRACT FROM AUTHOR]

In this paper, the error of the discrete Fourier method for non-local mixed problem is effectively estimated based on a known data obtained in the process of intelligent modeling. Algorithms and the software were developed to solve the problems posed by the discrete analogue of the Fourier method. Numerical experiments were conducted which have confirmed the reliability of the results obtained. [ABSTRACT FROM AUTHOR]

The subject of the research in this paper is the approximation of the probability density function (pdf) of random variable, which is the sum of beta values. Since the required sum cannot be expressed by any of the known laws, the aim is to find such approximation for the pdf of this sum that would have the least error. As a result the approximation of the desired law with the use of the beta distribution, were obtained. [ABSTRACT FROM AUTHOR]