The article analyses the current state of automated control systems for street lighting: advantages and disadvantages, problems faced by manufacturers and operators of such systems. The article describes the basic principles of automated control systems, such as the use of motion sensors, light sensors and communication technology to optimise the operation of street lighting. The article also discusses the features and problems of designing street lighting based on automated lighting control systems, and possible problems associated with their implementation and operation.

Keywords: lighting control, digital twin, automation, sensor, light sources, LED lighting fixture

This paper examines the problems and obstacles that arise during the implementation of investment projects in the field of capital construction, between the customer and the general contractor (a subsidiary of the customer). To solve the problems, it is proposed to develop specific measures to modernize the investment and construction activities of the customer company, in accordance with the economic development strategy adopted in Russia, based on digitalization. Information systems and technologies offer great opportunities for the development of various aspects of economic activity. One of them is information systems for managing investment projects. As a result of the work, the authors formulated the main directions of development and proposed solutions for modernizing the investment and construction activities of the customer company.

Keywords: investment and construction activities, investment project, industrial construction, customer, general contractor, information systems and technologies

Information technologies are used in all spheres of modern society. Databases and document flow in organizations must be clearly organized, streamlined, and the interconnected work of company departments and services must be ensured to collect and process information flows and make effective management decisions. The article reflects the place of the stages of planning and designing information technologies and methods of their development in the algorithm for forming the strategy of an organization's IT project. Approaches to the formation of automated workplaces are shown using the example of the organizational and managerial structure of an enterprise. The services and departments of the organization responsible for planning, accounting, analysis and control of its financial results have been identified, which led to the conclusion about the directions for improving the quality of IT project development.

Keywords: information system, IT project, planning, design, modeling, automated workstations

" The article discusses organizational and technological solutions for the installation of hinged ventilated facades, which are aimed at: ensuring the efficiency of work; increasing labor safety and productivity, reducing the cost of installation work, eliminating wasteful consumption of all types of resources used, using progressive methods of organizing work; use of modern means of mechaniza-tion and automation. Organizational and technological solutions in the design of ventilated curtain walls were optimized in three stages. The main problem identified in this article is that in modern construction, with a wide variety of structures available, facade systems are selected without appropriate organizational, technologi-cal, and economic justification, mainly relying on the experience of previous construction projects. Therefore, the problem of lacking reliable tools for determining the effectiveness of various organi-zational and technological solutions for facade work production at the planning stage of the object's life cycle can be formulated."

Keywords: hinged ventilated facades, organizational and technological solutions, organiza-tional and technological documentation, technological map, thermal insulation

The article provides research on the issues of effective construction of concrete structures of various functionality. The purpose of the article is to study the features of the processes of effective construction of concrete structures of various functionality in construction. To achieve the set goals, the tasks of conducting an analytical review on the issue, dedicated to the production of concrete with specified properties for monolithic concrete structures, were solved in order to reduce the influence of external temperature factors on their properties. Modern technologies for the construction of concrete structures were analyzed: fiber-reinforced concrete, “smart” concrete, as well as modification methods to improve the properties of concrete structures.

Keywords: construction, concrete, concrete structures, functionality, properties, construction.

Automation of the production of butadiene-nitrile rubbers is one of the most important directions in the chemical industry. This article presents a systematic review of existing domestic and foreign solutions, as well as describes the methods of integrated control systems for automating the production of butadiene-nitrile rubbers. Modern technologies used in manufacturing enterprises are considered, including automated systems for control, management and monitoring of processes: from robotic manipulators to digitalization of production processes. The advantages and disadvantages of automation approaches are evaluated, and trends in the development of this area are highlighted. The article is intended for specialists in the field of chemical industry, process engineers, as well as anyone interested in modern production automation technologies in the chemical industry. Previous studies will be analyzed, and examples of successful implementation of automated.

Keywords: distributed control systems, automation, integration, data transfer, architecture of automation levels, automated control systems

The article is devoted to the consideration of multi-criteria Pareto optimization methods based on genetic algorithms. The NSGA-III and AGE-MOEA-II methods are considered, and their comparative analysis is given. The results obtained are important both for theoretical research in the field of genetic algorithms and for practical application in engineering and other fields where multicriteria optimization plays a key role.

Keywords: multicriteria optimization problem, Pareto front, genetic algorithm, NSGA-III, AGE-MOEA-II

The paper proposes a method for identifying patterns of the relative positions of buildings, which can be used to analyze the dispersion of air pollutants in urban areas. The impact of building configuration on pollutant dispersion in the urban environment is investigated. Patterns of building arrangements are identified. The methods and techniques for recognizing buildings are examined. The outcomes of applying the proposed method to identify building alignments are discussed.

Keywords: patterns of building location, geoinformation technologies, GIS, geoinformation systems, atmospheric air

Since 2017, EVRAZ ZSMK JSC has been developing and operating a mathematical model covering all processing stages from ore extraction to final products – SMM Forecast. The model will be used to calculate technical cases, plans, and parity prices for iron ore and coal, and its use brought more than 200 million rubles of economic effect in 2020 alone. The use of a universal mathematical model made it possible in 2023 to begin the development of a module for daily optimization of an agglomeration factory and blast furnace production. The article discusses the experience of EVRAZ ZSMK JSC in the development and implementation of a daily planning system based on the monthly planning model of SMM Forecast, as well as methods for achieving an acceptable speed of multi-period optimization. The SMM Forecast system was originally designed for end-to-end, scenario-based calculation of the main raw materials from ore and coal to finished products in a volumetric monthly planning. The system uses optimization algorithms to search for a global target function to maximize margin income under specified constraints. The mathematical model of redistribution uses the norms and technologies specified in the company's regulatory documents. At the same time, the model is universal and the transfer of algorithms from monthly to daily mode was carried out with minimal modifications. The article also discusses the difficulties encountered and various methods of solving these problems. The first problem faced by the developers was the low speed of optimization of the model in daily dynamics due to the strong complication of the optimization load. The calculation time has increased significantly, and to solve this problem, it took the introduction of a number of optimization cycles aimed at reducing the speed of solving equations, introducing variable boundaries, and determining starting points. As a result, the calculation time for one month was about 40 minutes. The second problem was the need to develop a complex supply management algorithm and optimize stacking at the sinter plant. As a result of solving this problem, a working tool has been developed that brings additional income to the enterprise.

Keywords: metallurgy, modeling, planning, daily planning, sintering plant, blast furnace shop, stacking

This article is dedicated to developing a method for diagnosing depression using the analysis of user behavior in a video game on the Unity platform. The method involves employing machine learning to train classification models based on data from gaming sessions of users with confirmed diagnoses of depression. As part of the research, users are engaged in playing a video game, during which their in-game behavior is analyzed using specific depression criteria taken from the DSM-5 diagnostic guidelines. Subsequently, this data is used to train and evaluate machine learning models capable of classifying users based on their in-game behavior. Gaming session data is serialized and stored in the Firebase Realtime Database in text format for further use by the classification model. Classification methods such as decision trees, k-nearest neighbors, support vector machines, and random forest methods have been applied. The diagnostic method in the virtual space demonstrates prospects for remote depression diagnosis using video games. Machine learning models trained based on gaming session data show the ability to effectively distinguish users with and without depression, confirming the potential of this approach for early identification of depressive states. Using video games as a diagnostic tool enables a more accessible and engaging approach to detecting mental disorders, which can increase awareness and aid in combating depression in society.

Keywords: videogame, unity, psychiatric diagnosis, depression, machine learning, classification, behavior analysis, in-game behavior, diagnosis, virtual space

As the space industry accelerates the trend to reduce development and production costs and simplify the use of space hardware, small spacecraft, including CubeSats, have become popular representatives of this trend. Over the last decade, the development, production and operation of small spacecraft has become in demand because of a number of advantages: simplicity of design, short design and production times, and reduced development costs. The main problem in the design of CubeSats is their miniaturisation. This paper presents the results of the development of the optical cell of collecting and processing video information for remote sensing systems of the CubeSat 3U format satellite, with the aim of obtaining the maximum possible image characteristics, taking into account the strict physical limitations of the CubeSat unit. In the course of the work, using computer-aided design systems Altium Designer and Creo Parametric, the structural diagram, electrical circuit diagram, topology, 3D model, as well as the design of the housing of the cell of collection and processing of video information were developed. PCB size: 90x90 mm, PCB thickness: 1.9 mm, number of PCB layers: 10, accuracy class: 5, cell height: 20 mm, cell weight: 110 grams.

Keywords: space hardware, Earth remote sensing, small spacecraft, nanosatellite, printed circuit board, small satellite development trend, printed circuit board topology, CubeSat

A mathematical model for managing a commercial organization that specializes in the production and sale of asphalt and asphalt concrete is presented and analyzed in this paper. The study is based on mathematical modeling principles and management theory. An organized two-tier management system has been proposed, consisting of an asphalt manufacturer and its clients. The problem was considered numerically using various types of input data, and the company "FIRM PROFILE LLC" provided necessary information for calculations. The paper analyzes the results obtained and offers practical recommendations for improving the management of this enterprise.

Keywords: optimal management, mathematical modeling, simulation modeling, enterprise model, hierarchical system

The article deals with multi-criteria mathematical programming problems aimed at optimizing food production. One of the models of one-parameter programming is associated with solving the problem of combining crop production, animal husbandry and product processing. It is proposed to use the time factor as the main parameter, since some production and economic characteristics can be described by significant trends. The second multi-criteria parametric programming model makes it possible to optimize the production of agricultural products and harvesting of wild plants. in relation to the municipality, which is important for territories with developed agriculture and high potential of food forest resources.

Keywords: parametric programming, agricultural production, two-criteria model

The article considers one of the approaches to solving the problem of multi-criteria optimization with the choice of a balanced compromise option in the implementation of management activities in the territorial body of the Ministry of Internal Affairs of Russia on the basis of a comprehensive analysis of the current state of the operational situation in conditions of uncertainty and in the presence of existing restrictions and existing at the disposal of the subject of management of resource capabilities.. The emphasis is on the rational alignment of a set of mutually contradictory goals with the preferences of a person competent to make managerial decisions. It is shown how information on the relative importance of normalized values of vector estimates according to optimality criteria should be used to implement a reasonable narrowing of the achievable Pareto set and subsequent implementation of the best choice. The solution of the practical problem of vector optimization to determine the effectiveness of the use of forces and means of law enforcement agencies in detecting and suppressing crimes in public places is given.

Keywords: internal affairs bodies, law enforcement, operational environment, management decisions, management activities, multi-criteria optimization task, compromise in decision-making, Pareto set, decision support methods

The use of simulation analysis requires a large number of models and computational time. Reduce the calculation time in complex complex simulation and statistical modeling, allowing the implementation of parallel programming technologies in the implemented models. This paper sets the task of parallelizing the algorithmization of simulation modeling of the dynamics of a certain indicator (using the example of a model of the dynamics of cargo volume in a storage warehouse). The model is presented in the form of lines for calculating input and output flows, specified as: a moving average autoregressive model with trend components; flows of the described processes, specified according to the principle of limiting the limitation on the volume (size) of the limiting parameter, with strong stationarity of each of them. A parallelization algorithm using OpenMP technology is proposed. The efficiency indicators of the parallel algorithm are estimated: speedup, calculated as the ratio of the execution time of the sequential and parallel algorithm, and efficiency, reflecting the proportion of time that computational threads spend in calculations, and representing the ratio of the speedup to the sequential result of the processors. The dependence of the execution of the sequential and parallel algorithm on the number of simulations has been constructed. The efficiency of the parallel algorithm for the main stages of the simulation implementation was obtained at the level of 73%, the speedup is 4.38 with the number of processors 6. Computational experiments demonstrate a fairly high efficiency of the proposed parallel algorithm.

Keywords: simulation modeling, parallel programming, parallel algorithm efficiency, warehouse loading model, OpenMP technology

In the process of ensuring information security, an important element is the protection of data from malicious influence. One of the stages of protection is to identify the source of the threat. The source of the threat may be the attacker himself, acting through his own user profile. Detecting and identifying a malicious profile in this case is a key element of building protection. In the context of user profiling, well-researched systems are social networks. Learning Management Systems (LMS), despite their similarity to social networks, remain devoid of scientific attention. Due to the similarity with social networks and the increasing introduction of learning management systems into information structures, this type of system is becoming a vulnerable point. There are several approaches and methods for detecting malicious activity, including statistical methods, machine learning methods, and rule-based methods. Our proposed approach combines a rule-based system with machine learning algorithms to improve the accuracy of detecting malicious activity. A rule-based system provides a detailed view of potential anomalies, while a machine learning algorithm provides a more detailed view of specific attacks. This paper highlights the aspects of determining malicious activity and user profiling in learning management systems and provides an example of one of the methods.

Keywords: information security, information system, social network, learning management system, user profiling, malicious behavior, classification

The article analyzes the relevance and state of modern phishing attacks on critical information infrastructure (CII) facilities. Phishing, as one of the most common types of cyber attacks, poses a serious threat to the security of information systems and data. The purpose of the study is to identify the main characteristics and tactics of phishing attacks, as well as to assess the level of protection of the OKII from this type of threat. The research uses data on the latest phishing trends and methods collected from various sources, including cybersecurity reports, incident statistics and analysis of successful attacks. The main focus is on analyzing the targets of phishing attacks in the context of their importance for ensuring the continuous operation of critical information infrastructure. Based on the analysis, recommendations are formulated to improve protection systems against phishing attacks for critical information infrastructure facilities. The purpose of this study is to raise awareness among cybersecurity professionals and security policy makers about the emerging risks of phishing. In addition, the main task is to ensure effective protection of information resources, which are an integral part of the functioning of critical infrastructure.

Keywords: information security, phishing attacks, information infrastructure, mathematical modeling, software package

An urgent task of many organizations is currently the issue of staffing in the field of information security. And this problem mostly lies in the difficulty of determining the correspondence between functional responsibilities and the norms of working hours for each individual specialist. At the moment, there are no regulatory documents that strictly outline the norms of labor costs for specific functional obligations of specialists, which would give an accurate answer on the quantitative composition of the information protection unit. In this paper, one of the solutions to the problem of constructing a quantitative model describing the number of information security units based on typical indicators of the organization's needs in the field of information security is implemented.

Keywords: information protection, regression model, model competition, adequacy criteria, forecasting, staffing of information protection units

The paper presents a mathematical model, algorithm and simulation results of the steam pressure control process in a steam curtain of a tubular furnace of a diesel fuel hydrotreating technological installation based on a PID-controller with filtration of the current control error of a double moving average.

Keywords: automation, subsystem, control, control, steam curtain of a tubular furnace, steam pressure, moving average

The article discusses the possibilities of using virtual reality technologies to organize fire safety training for schoolchildren. The requirements for the virtual simulator are formulated from the point of view of ensuring the possibility of conducting classes on practicing evacuation skills from the building of a specific educational organization. A functional model of a virtual simulator is presented, built on the basis of the methodology of structural analysis and design, describing the process of developing a virtual space with interactive elements and organizing training for the evacuation of students based on it. A semantic description of the control signals of the functional model, its inputs, mechanisms and outputs is given. The contents of the model subsystems are revealed. Requirements for software, hardware and methodological support for training using virtual reality technologies when conducting fire training are formulated. The concept of creating a digital twin of a building of a general education organization in virtual space is substantiated. Examples of improving virtual space by using the results of mathematical modeling of fire are given. The use of visualization of smoke and flame in virtual space is justified to avoid the occurrence of panic in children during evacuation in fire conditions. Conclusions are drawn about the advantages of the proposed virtual simulator. The prospects for further research and solution to the problem of developing skills for evacuating students from a building of a general education organization in case of fire are listed.

Keywords: virtual reality, virtual simulator, virtual space, fire safety, evacuation, fire training, mathematical modeling of fire, educational technologies, functional modeling

This article is devoted to the development of a method for detecting defects on the surface of a product based on anomaly detection methods using a feature extractor based on a convolutional neural network. The method involves the use of machine learning to train classification models based on the obtained features from a layer of a pre-trained U-Net neural network. As part of the study, an autoencoder is trained based on the U-Net model on data that does not contain images of defects. The features obtained from the neural network are classified using classical algorithms for identifying anomalies in the data. This method allows you to localize areas of anomalies in a test data set when only samples without anomalies are available for training. The proposed method not only provides anomaly detection capabilities, but also has high potential for automating quality control processes in various industries, including manufacturing, medicine, and information security. Due to the advantages of unsupervised machine learning models, such as robustness to unknown forms of anomalies, this method can significantly improve the efficiency of quality control and diagnostics, which in turn will reduce costs and increase productivity. It is expected that further research in this area will lead to even more accurate and reliable methods for detecting anomalies, which will contribute to the development of industry and science.

Keywords: U-Net, neural network, classification, anomaly, defect, novelty detection, autoencoder, machine learning, image, product quality, performance

The problem of planning the sending of messages in a cellular network to destinations with known needs is considered. It is assumed that the costs of transmitting information on the one hand are proportional to the transmitted volumes and the cost of transmitting a unit of information over the selected communication channels in cases of exceeding the traffic established by the contract with the mobile operator, and on the other hand are associated with a fixed subscription fee for the use of channels, independent of the volume of information transmitted. An indicator of the quality of the plan in this setting is the total cost of sending the entire planned volume of messages. A procedure for reducing the formulated problem to a linear transport problem is proposed. The accuracy of the solution obtained on the basis of the proposed algorithm is estimated.

Keywords: single jump function, transport problem, minimum total cost criterion, computational complexity of the algorithm, confidence interval

The network component of the transition from monolithic application architecture to microservices is considered. The dynamics of the attack surface increase during the transition to microservice architecture is presented on the example of an application designed to keep a centralized record of server equipment and fix the employees responsible for its operation. Measures aimed at increasing the security of the network infrastructure of container orchestration systems are proposed.

Keywords: information security, microservice architecture, containerization security, network interactions, container network, container orchestration system, microservice, container, transition from monolith to microservices, increasing the attack surface