The article is devoted to the problem of optimizing the provision of resources in organizational systems, taking into account the factors of an aggressive external environment. The main task is to develop a model that will reduce costs when providing resources under various criteria and restrictions. The author proposes to use mathematical modeling to solve this problem. It examines various modeling and optimization approaches, including the use of linear and nonlinear functions, consideration of time and other parameters such as time, weather and possible risk. The article also discusses specific models of the external environment that can be used when calculating the effectiveness of the “Resource Provision - External Environment” system. In conclusion, the author suggests that the proposed approaches will help improve understanding of optimization processes and application of models in real-world settings.

Keywords: providing resources, mathematical modeling, optimization, risk management, organizational systems, external environment.

With the rapid development of technology and the widespread use of video surveillance, modeling the architecture of neural networks for human recognition in video is attracting increasing attention from researchers. This article presents a study of the use of neural networks (NN) as an interdisciplinary model for classifying objects in video, including solving the problem of face search. This highlights the versatility of neural networks in integrating trained data and accurately classifying objects, which is critical for ensuring security and efficiency of video surveillance. The study uses an analysis of various neural network architectures, as well as a study of their operating algorithms. Data obtained from a literature review and experimental results allow us to evaluate the effectiveness of solving the task of classifying objects in video using various architectures, without tying the study to a specific data set. The study confirms the possibility of using modern neural network architectures for human recognition in real-time video based on the experience of experts in the field of computer vision and machine learning. The active use of neural networks as a tool for video surveillance increases the safety of infrastructure facilities and the efficiency of security services. Ultimately, this article presents an analysis of neural network architectures for facial recognition in video streams, advocating their use as a key element in the development of modern video surveillance systems and ensuring public safety.

Keywords: neural networks, neural network architectures, video surveillance systems, real-time recognition, improving security, social well-being

The article discusses issues of theoretical substantiation of examination mechanisms using expert assessment methods to analyze the vulnerability of an important government facility. The article discusses the theoretical justification of the mechanisms of development examination for two cases. The first is taking into account the interest of experts in the results of the examination, when experts strive for a minimum discrepancy between their true assessment and the resulting expert assessment of the project. In the second case, they show interest in increasing their rating. For both cases, we define the objective functions of the experts and find the conditions for the existence of a Nash equilibrium situation.

Keywords: comprehensive security, methods, models, security forces, violators, important government facilities, expert assessment methods, vulnerability analysis

The proposed work considers two types of neural network models for describing fire risks depending on the size of the population and preventive measures. Neural network models make it possible to consider fire risks integrally, taking into account the type of municipality or separately for each of the three existing types. Based on these models, a response surface for fire risks - population and prevention has been implemented, which allows you to assess the magnitude of risks based on input data to optimize decisions made. For a given value of the standard risk, the dependence of optimal prevention was obtained depending on the number of deposits in the municipality, which makes it possible to guarantee fire risks less than or equal to the standard indicators. The article analyzes and evaluates the effectiveness of preventive measures using neural networks. The input data for training the neural network includes fire data collected in Vietnam and Russia (population, number of fires, number of deaths, number of preventive measures). Based on these indicators, the effectiveness of preventive measures is predicted. Based on the forecasting results, decisions can be made to ensure fire safety in the state. The results obtained indicate the possibility of predicting the absolute value of the effectiveness of preventive work based on quantitative and categorical variables. A relatively large forecast error is associated, on the one hand, with the need to take into account a larger number of input parameters, and on the other hand, with the need to increase the size of the neural network training base. After refining the model, the results obtained allow us to evaluate the effectiveness of preventive measures for provinces and cities.

Keywords: fire safety, preventive measures, neural network, management decision support, prediction model

The article discusses the issues of identifying and ranking threats at an important government facility. The classification of threats by type is described. The article discusses the concepts of “design-based threats” and “the most dangerous variant of the violator’s actions” and their differences. An example of ranking threats and reducing their number to reduce the dimensionality of the vulnerability analysis problem is considered. An important government object is considered as an object in the example. Experts are tasked with ranking threats according to the level of potential losses for an important government facility if they are realized. In practice, the implementation of an accepted design threat may lead to lower potential losses than the most dangerous option for violators and, as a result, to lower requirements for the effectiveness of the physical protection system.

Keywords: comprehensive security, methods, models, security forces, intruders, important government facilities, clashes between security forces and attacks, ranking of threats

The article shows the importance of the role of clinical engineering departments in ensuring high-quality comprehensive control of the state of medical equipment at all stages of its life cycle. The main resource of such departments is the resource of working time of clinical engineers. In order to rationalize the use of this resource, we analyzed data on the time budget for the maintenance of 2459 units of medical equipment in medical institutions of Volgograd. The results of the analysis allowed us to identify 3 subgroups of medical equipment in the general data array that have statistically significant differences in the time characteristics of their maintenance and require a different approach to managing the time of clinical engineers servicing them. At the final stage of this study, ABC-XYZ analysis was used. Its results allowed us to formulate recommendations for rationalizing the use of working time of clinical engineers to work with the subgroups of medical equipment identified in this study in practical conditions.

Keywords: clinical engineering, clinical engineer, time budget, maintenance of medical equipment

The article examines the experience of using correlation analysis to assess the nature of the relationships between various parameters of the organization and activities of fire and rescue garrisons in Russia. The analysis of absolute and relative parameters is carried out. The influence of the size of the service areas of fire departments on other response parameters, as well as the negative impact of population density and the number of fires on the speed of fire trucks is shown. The paper proposes a method for calculating the built-up area of settlements and a method for calculating the coefficient of non-straightness of the street and road network along arbitrary routes.

Keywords: fire service, analysis, fire statistics, large city, urbanism

In the context of rapid urbanization of society, modeling the processes of sustainable urban development has attracted considerable attention from scientists. This paper presents a study of fuzzy cognitive maps (FCMs) as an interdisciplinary model for simulating urban development processes. This highlights the versatility of FCM in integrating expertise and quantifying the impact of indicators that shape urban space, from infrastructure and housing to environmental sustainability and community well-being. The study uses a synthesis of an extensive literature review and expert opinions to create and refine a cognitive map tailored for municipal development. The methodology outlined formulates a systematic approach to selecting concepts, assigning weights, and validating the model. Through collaboration with cross-disciplinary experts, the study confirms the value of FCM for identifying cascading effects in the decision-making process when shaping urban development strategies. Recognizing the limitations of expert methods and the fuzzy nature of data, the article argues for the effectiveness of FCM in not only identifying but also addressing emerging urbanization problems. Ultimately, this article contributes a nuanced perspective to strategic planning discourse by advocating for the use of NCC as a management decision support tool that can assist policymakers in achieving a sustainable and equitable urban future.

Keywords: fuzzy cognitive maps, urban development, urban planning, sustainable urbanization, expert systems, social well-being

The study is devoted to the development of models, algorithms and software for computer training complexes (CTC) for training developers of automated information systems (AIS). The process of automated control of students' knowledge and skills using CTC in studying the mathematical support of AIS (using fuzzy modeling as an example) is formalized based on IDEF0 diagrams, and the process of assessing exercise performance as one of the control components. The advantage of CTC is that the teacher does not need to develop individual exercise options, since CTC configures the structure and complexity of the exercise and then automatically generates a unique version of the exercise for each student undergoing knowledge testing on the topic being studied. The student's performance is checked automatically by comparing the mathematical models of the student's solution to the task and the reference solution generated in CTC based on the problem statement. Algorithms for assessing task performance in fuzzy modeling exercises have been developed. A prototype of CTC has been created in the form of a web system with personal accounts for the teacher and the student. The developed concept and algorithms for monitoring knowledge and skills in fuzzy modeling using the CTC can be adapted for various disciplines in the field of mathematical, software, information and other types of support for AIS.

Keywords: automated information systems, mathematical support, fuzzy modeling, computer training complex, e-learning, distance learning

The article is devoted to the problems of managing the implementation of multi-scenario, multi-stage projects under conditions of uncertainty. The proposed approach is based on representing the project model in the form of a scenario network. The developed fuzzy linguistic model of a project stage is a set of linguistic variables corresponding to the stage indicators and external factors influencing the subsequent implementation of the project. The decisive rules for choosing the arc of transition to the next stage are constructed in the form of fuzzy products, the left parts of which are fuzzy statements regarding the preference of possible options. The constructed decision support procedure is based on the use of the Mamdani fuzzy inference algorithm, which has high interpretability. The proposed approach allows for multi-scenario planning and adaptability of management of the implementation of multi-stage projects.

Keywords: multi-scenario multi-stage projects, adaptive project management, scenario network, decision support, linguistic variable, fuzzy inference

The factors of sustainable development of a modern mining enterprise are considered. The main operating factors of the external and internal environment of the enterprise are determined. The basic conceptual provisions underlying the formation of an effective, modern, strategic platform for the formation of strategies for the development of a mining enterprise are considered. The possibilities of applying a particular strategy for the development of a mining enterprise are analyzed, depending on the combination of phases of rise or decline in the level of impact of factors of the external and internal environment of the enterprise. The algorithm developed by the authors of this work for choosing the optimal model of enterprise development is proposed, taking into account the phases of the impact of external and internal environmental factors and the development strategy of a modern mining enterprise chosen in accordance with them. Recommendations on choosing the optimal strategy for the development of a mining enterprise and building a development model based on it are proposed.

Keywords: mining enterprise, economics, risk management, innovative development, development strategy, ecology, social policy

This article discusses the automation of metrological ensure at manufacturing enterprises and in metrological laboratories with a special focus on innovative technologies, including the introduction of enterprise resource planning systems (ERP systems) and the use of calibrator standards. The functioning of automated measuring systems that implement pre-established algorithms for control and testing measuring instruments is considered. An analysis of existing solutions on both the domestic and foreign markets was carried out. In particular, the focus is on a meter designed for testing integrated circuits. The possibility of integrating these measuring systems with software at various levels is discussed, as well as the prospects for their use in mass calibration of measuring instruments. The use of automated measuring systems can significantly speed up the calibration process, eliminating the need for manual voltage regulation and thereby minimizing the influence of the human factor on the accuracy of measurements. The adaptive capabilities of the software are discussed, which allows the system to be used for various types of measuring instruments, such as ammeters and ohmmeters. The findings confirm that automation of calibration processes not only significantly speeds up this operations, but also ensures strict adherence to all procedures, which helps improve the quality and reliability of the resulting measurements.

Keywords: Measuring systems, verification, calibration, measuring instruments, , automation, voltmeter, verification procedure

The article discusses various aspects of the organization of training of specialists in the field of information security on the basis of a cyberpolygon – a multifunctional software and hardware complex. The analysis of the essence of cyberpolygon as a computer learning technology within the framework of the digitalization of education and the formation of students' competencies, for example, digital culture and cyber hygiene, is given. Based on the analysis of the capabilities of the cyberpolygon for the training and retraining of specialists of various profiles, the requirements for the specifics of methods and means of training and assessment of their competencies are formulated. The problems of conceptual design of the educational content of the cyberpolygon, the need for a formalized description of the essence of competencies and their components, fixing cause-and-effect relationships for the scenario design of educational trajectories are discussed. Special attention is paid to the specifics of pedagogical design, the use of active and group approaches to learning, the need for role allocation in solving team tasks. New formal approaches to the conceptual design of the entities of competencies are proposed, taking into account this specificity, methods of automated distribution of participants by roles of educational projects and educational tasks, new conceptual models for assessing competencies based on covering them with suitable competence-oriented tasks. The proposed conceptual models formed the basis of the software architecture of the cyberpolygon information components for the management of educational trajectories and are presented at the level of design artifacts of the logical level of the cyberpolygon management system.

Keywords: cyberpolygon, information security, cyber hygiene, digitalization of education, digital culture, conceptual design, methods of automated distribution, competency assessment models, design artifacts

Occupational safety is one of the important aspects of the organization of work in production. Domestic machines and units used in the food industry do not yet allow to exclude the impact of harmful and dangerous production factors, to make the work of employees safe. In this context, it is important to study active and passive methods of noise and vibration suppression, their effectiveness in ensuring normalized working conditions of workers on the example of a specific production. Existing research, as a rule, focuses on one criterion when choosing protection methods. However, an integrated approach is advisable in solving this problem. The purpose of this study was to choose a rational method of protecting personnel from the effects of noise and vibration based on the economic justification of effective technical solutions. The obtained research results make it possible to take into account the criteria for evaluating the validity and acceptability of choosing a particular protection method, including from the standpoint of technical and economic calculation, when designing a security system. The above study showed the expediency of import substitution in the food and beverage industry, as well as the correlation between the introduced protection systems and an increase in the level of safety. The given algorithm of the feasibility study has the properties of scale and generality. It can be successfully implemented when choosing methods of protection from the effects of other harmful production factors found in various industries.

Keywords: acoustic factor, protection methods, active and passive methods, economic justification, sound pressure levels, experimental data

In the article the urgency of development of requirements to rescue stations, carrying out safety of people on water οbjects of the Russian Federation (hereinafter referred to as RF) on οsnοve analysis of earlier scientific works is disclosed. The results of the development of the requirements are presented, which include: ο analyzing normative and legal documents, introducing a termοlοgicheskοy system for ο οnsuring the safety of people on water, classifying rescue stations, criteria for ο determining the number of rescue stations and rescue posts, as well as the requirements for workers, οmployees, οsupply, territory, buildings, and supplies. Conclusions are formulated that the existing legal framework, structure, The material and technical οsnο-technical οsnο systems of οsupport for people on water are not in accordance with the current requirements and οdetermined conditions for making radical decisions in οrganizational, technical, and legal οrganizational areas. As one of the measures for solving the problematic οprusοsο suggested ο the development and adoption of the standard “Ο rescue stations ο providing οnο rescue of people in οοbjects”, the realization of kοtοrοrοgο pοluidο will substantially increase the level of οnοsupport in οnοbjects.

Keywords: safety, rescue station, rescue station, rescue post, rescue service, rescue service, inοdnο-rescue fοrmirο, on-duty rescue unit in aquatοrium, rescue zone, patrolling aquatοrium, pοiskοvο-rescue service, rescuer in aquatοrium

In this paper, we investigate the possibility of applying the theory of Monty Hall's paradox in tasks that require the need for an optimal choice of a strategy for developing the innovative potential of an enterprise. The article provides recommendations for taking into account and constructive use of the effects that affect the involved experts, in particular, the Condorcet principle and paradox. The paper explores the limits of applicability of the Monty Hall paradox theory. Its applicability is determined, together with considerations about the profitability of changing the initial choice in problems with the so-called "random intelligence".

Keywords: decision support systems, mathematical modeling, expert evaluation, Monty Hall's paradox, project management, collective assessment, Condorcet's paradox, enterprise management, assessment of enterprise characteristics

This article analyzes trends and examples of the use of digital technology in order to increase the efficiency and improve the quality of construction projects. BIM technologies already at the design stage make it possible to provide as much as possible all the signs that affect the construction object at the beginning of construction and its further operation. The number of these signs increases, due to the fact that the complexity of the construction process of construction objects increases, as the scale of construction increases, the volume of construction products and building materials increases. In this connection, the requirements for the general designer, contractor, customer, etc. are increasing. At the same time, the customer expects to find, in addition to the project, a solution to reduce costs and increase the functionality of the construction object with the highest parameters. The need for high-performance special technologies and methods of organizing the management of construction works is becoming more acute. BIM technologies are the physical and functional characteristics of a construction object presented in digital form. Digital technologies are an integrated special resource of competencies in order to obtain information about a construction object. It provides the basis for the possibility to accept special decisions of a construction object from construction to the moment of its demolition. This model provides an opportunity to delegate a virtual digital model from the creators of the project to the subcontractor, general contractor, owner, as well as the manager of the construction object. The technical tasks of using information modeling technologies are the starting point for planning an investment project both from the customer's position, since they define the scope of using a BIM model at all phases of the operation of a construction object according to the criteria for evaluating information, and from the position of the contractor, since it acts as the basis for generating a plan when a BIM project will be implemented. The list of characteristic technical tasks of BIM modeling application at different stages of the construction object life cycle is determined. The BIM project algorithm is proposed.

Keywords: information modeling of the construction of objects, labor productivity, physical wear, defects, reliability, diagnostic tasks

Relevance and goals. The article describes a project in the field of solving the problem of managing organizational systems through the development of a system for remote monitoring and control of spatially distributed objects using LoRa network technology. Materials and methods. The project provides testing and practical use of LoRa networks. The developed system consists of 3 main modules: Devices, server part, and client application. In turn, devices are divided into gateways and end devices. Results. An automated system for managing spatial objects was designed, gateway devices and end devices that form a prototype of the Internet of Things network were developed and tested, as well as the server part of an automated system for remote control of spatially distributed devices. Conclusions. The system was tested and debugged, and a streamlined system for remote monitoring and control of spatially distributed objects was obtained based on the concept of the Internet of Things using LoRa network technology. It is assumed that the results of R&D will be in demand in organizations whose activities involve the use of spatially distributed resources.

Keywords: Internet of things, management of geographically distributed systems, LoRa networks, geosystem approach, spatial data infrastructures

The sustainable functioning of the road transport system of any city is inextricably linked with the rational use of road infrastructure. The article deals with the problem of irrational use of road infrastructure and increased transport delays when vehicles are left on the roadway, using the example of Tyumen. In a scientific study, a simulation of traffic flow on a two-lane section of the street was carried out. The PTV Vissim software was used to obtain the results. The dependence of the influence of transport demand on the average delay time when one lane is blocked by stationary vehicles is obtained. The consequences abandonment of unattended cars on the roadway are described. Approaches to solving the problem are proposed. The results can be used by municipalities to effectively manage the process of using road infrastructure, and the results can also be used by scientific organizations for research in the field of traffic management.

Keywords: traffic, simulation, parking, unattended vehicle, lane occupancy

The article is devoted to the assessment of signs that can lead to the destruction of building structures that undergo physical wear over time. The destruction of the elements can lead to adverse consequences. A mathematical basis is used to diagnose structural failure. With its help, it is possible to determine the influence of signs contributing to the destruction of the structure on the degree of destruction. This article discusses the main provisions of the general kinetic theory, as well as methods of its application in order to determine the emergency condition of structures. The technical condition of the structures is considered from the standpoint of the determinational theory. The concept is based on the principle of reliability of the structure before the first failure. The object's trouble-free operation model embodies the science of the speeds of processes in the field of structuring and decomposition of complex system structures throughout the life cycle and shows the adaptive response of structures to factors that shorten the service life of the object. This concept makes it possible to more accurately assess the risks of structural failure from the effects of certain adverse factors.

Keywords: construction and technical expertise, defects, reliability, diagnostic tasks, diagnostic methods, efficiency

The work is devoted to the development of an information model based on ontological approach in the framework of an educational course. The aim is to reduce the communication time between the participants of the educational process: coordinators, students and tutors. The concept of the solution was formed, namely analysing the activity of the course coordinator in the ‘Telegram’ chats within the course ‘Digital district of electrical networks’ of the network university ‘Energynet’. Based on this, ways to reduce time costs were identified by creating a Telegram bot based on an ontology model. The method reduces the time cost of communication between the coordinator, tutors and students. The results of the study showed that the chatbot built on the ontological model of the educational process within the course ‘Digital district of electrical networks’ helps to significantly reduce time costs of the communication process within the educational model.

Keywords: ontology, networked learning, educational model, chat bot, ontological model, telegram bot, online education, energy, digital university

The article considers key aspects related to the process of managerial decision-making and the formation of managerial influence in conditions of uncertainty associated with risk, in such a complex and numerous social organizational system as internal affairs bodies, when the subject of management does not have reliable or does not fully possess sufficient information about the current state of the operational situation. In the organization of information and analytical activities of internal affairs bodies are highlighted in order to determine priority areas of law enforcement activity in accordance with their main functions, forecasting possible adverse trends and processes in society, substantiating ways and means of resolving identified problematic situations in law enforcement and developing appropriate preventive measures in various information situations according to probabilistic realizations of various outcomes. The application of the main types of selection criteria and formalized models for determining the relationship between planned organizational measures and the results of their implementation in the presence of uncertain factors affecting effective decision-making in situations of rapid changes in the elements of the operational situation and the irrational use of resources available in the internal affairs bodies is considered and illustrated. Using concrete examples, the mechanism of finding the optimal management solution in the field of law enforcement and public safety is demonstrated, the existing problems of choosing a solution in conditions of risk and uncertainty are identified and ways to resolve them are proposed, an analysis is made regarding the results of the study.

Keywords: "managerial decisions, managerial activity, decision-making in conditions of risk and uncertainty, situational management, internal affairs bodies, law enforcement, information, information and telecommunication technologies, decision-making criteria

The article considers the issue of taking into account the emotional preferences of customers in the process of compiling a comprehensive service to increase customer satisfaction. The problem of forming an optimal set of services is solved, taking into account the emotional preferences of the client and the economic constraints in the form of the client's budget. Modifications to the method of branches and boundaries are proposed, reducing the number of calculations. An algorithm for solving the problem is developed and the results of a numerical experiment are presented, showing that the developed algorithm has basically a linear increase in execution time depending on the number of services. The advantage of this method is a significant reduction in operating time, as opposed to a complete search, as well as ease of implementation.

Keywords: formation of an optimal set of services, consideration of emotional preferences, the method of branches and boundaries

The article shows the relevance of solving the problem of conceptual analysis of traditional and digital educational structures integrated in the process of transformation, identification and evaluation of their effective interaction. It is proposed to use the methodology of the cognitive analysis that has already passed the stages of approbation in the subject environment of education. It is noted that the educational process includes continuously generated and continuously modified cycles of cognition of reality. Within the framework of generalized descriptions presented by models of cognition, a transition is naturally made from individualized cycles of cognition to a collective study of reality, in which models already control collective cognition, forming a cycle of cognition based on collective communication. An initial cognitive model has been developed which illustrates the situation that has developed in the modern educational system under the powerful influence of the "technocratic" point of view on digitalization. A cognitive model of collective cognition and communication in the digital environment is proposed, which systematically integrates three important parts from the point of view of transformational processes in education, namely, the traditional structure of cognition of reality, the newest structure of digital communication built in the paradigm of the collective subject of cognition, and, finally, the structure of strategic management based on the socio-cultural development of society and the country.

Keywords: Cognitive model, education, digital transformation, cognition, communication

This article analyzes the assessment of the signs leading to the possible destruction of the studied building structure. To determine the degree of influence of signs (or groups) on the level of structural failure in their direct diagnosis, it is possible to use a mathematical basis, in particular, the Bayesian approach. The essence of the implementation is to compare the probability of failure for each structure under study. The result of the work is to identify and describe not only the features of the relationship between each feature affecting the destruction of the structure and the calculated probability of destruction, but also their degree of influence on increasing or decreasing the probability of an accident. According to the estimates of the mathematical definition of the signs affecting the destruction of the building structure, it is possible to more objectively assess the effectiveness of the method used to check the condition of the building structure.

Keywords: construction and technical expertise, defects, reliability, diagnostic tasks, diagnostic methods, efficiency