The two level dynamic model is presented, representing the process of innovation implementation. The main task of this paper is conducting an analytical research of the model and different information regulations, designing solutions based on information regulations to find the best possible management of the subjects of the system. The system consists of several management entities (center, agents), the system is hierarchical. The Center manages the innovation process, agents promote innovations. But at the same time, agents have third-party income from activity that is not related to the promotion of innovations. The Pontryagin maximum principle is used for analytical research, the information regulations of the Hermeyer games G1, G2 are used. Numerical solutions are constructed, experiments are carried out, and the results are analyzed during the research.

Keywords: analytical research, Pontryagin's maximum principle, motivation, compulsion, Hermeyer games G1, G2, optimal management

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 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 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

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

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 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 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

The article is devoted to applied issues of improving regional security management processes through the development of methods for analyzing data on emergency situations. In order to identify patterns in the occurrence of emergency situations, multidimensional methods of processing statistical data were used. A multidimensional classification of data in the field of emergency situations based on fuzzy logic is proposed. The classification was performed using a fuzzy inference system with clear membership functions. As statistical data, data on emergency situations of a man-made, natural and biological-social nature that occurred in the federal districts of Russia in 2020, including data on dead and saved people, were considered. An analysis of data samples on regional emergency situations was carried out according to 5 criteria, and clustering of regions was carried out.

Keywords: emergency situations, fuzzy multidimensional clustering, fuzzy logic, fuzzy inference system, computer program, mathematical model, forecasting, decision making

The principles of placement of the territorial property complex are closely related to the specifics of the production activity of the enterprise, and therefore are often repeated within the same industry. This paper analyzes the placement of the territorial and property complex of the world's largest mining companies engaged in the extraction and processing of potash ore. A conclusion is drawn about the formation of general principles for the placement of the territorial and property complex of KCl mining companies, which were taken into account in particular during the design and construction of the mining and processing plant in the Volgograd region of EuroChem-VolgaKaliy LLC.

Keywords: property complex, territory, production placement, mining, potassium

The article synthesizes several approaches to the development of the social environment of neighborhoods and clusters, taking into account scientific developments in assessing the potential of territories in terms of building density, number of floors and capacity saturation of schools, preschool institutions and production areas. Options for implementing the strategy are outlined based on multi-product models for calculating capacity and scientific and production potential for the development of territories.

Keywords: cluster, quarter, region, potential, strategic planning, production capacity, multi-product models, building density, schematic map, optimization

In the article, the author examines the organization of the placement of rescue units of the search and rescue service of St. Petersburg and identifies problematic issues of ensuring the safety of people in places of mass recreation of the population in the water area and beaches. The purpose of the work is to develop a model and methodology for calculating the necessary and optimal number of rescue forces and means to improve the safety of people in the water area. As a result of the research, a model and methodology for calculating the required number of rescue forces and means in places of mass recreation of the population and beaches, on the example of water bodies of St. Petersburg, have been developed and proposed. A comparative analysis of the compliance of the data obtained in the calculations on the necessary and sufficient number of rescue stations and rescue posts on the beaches, taking into account the specifics (features) of the water area and the current standards of their (rescue stations and posts) placement on the water bodies of St. Petersburg.

Keywords: rescue stations, rescue posts, area of responsibility, search and rescue operations, calculation model and methodology, safety in the water area, safety on beaches and in places of mass recreation

By conducting a construction and technical expertise on the inspection of building structures and identifying several signs that can lead to their destruction, it is possible to identify a defect in which the destruction and accident of the structure under study is most likely to occur. It is proposed to use a Bayesian approach to evaluating the effectiveness of methods for determining defects affecting structural failure. The use of knowledge on the inspection and testing of building structures of buildings and structures is to determine the degree of relationship between the possible destruction of a building structure and its inspection, based on methods developed in the theory of reliability of technical systems. Based on the results of mathematical determination of the degree of malfunction, it is possible to more objectively assess the effectiveness of the method used to check the condition of the building structure. The method of using construction and technical knowledge to determine the technical condition of structures in an emergency state, in relation to the use of the Bayes formula, is considered. According to the proposed methodology, examples of determining the defect and the degree of destruction of building structures are given.

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

The article presents an integrated approach to assessing the competitiveness of a scientific production enterprise. The methodology includes an analysis of seven key performance indicators of an enterprise that have the greatest impact on its competitiveness: product competitiveness, staffing, reputation, innovation potential, sales activities, internal organization, partnerships. As a result of the study, recommendations were formulated aimed at the formation and strengthening of competitive advantages.

Keywords: enterprise competitiveness, efficiency assessment, complex assessment method

The article is devoted to the study of crowd behavior in public buildings during a fire. A method for evaluating the effectiveness of organizing the evacuation of people from a public building is proposed, which makes it possible to take into account the spread of panic among evacuees. The method is based on the development of an evacuation simulation model that takes into account the impact of certain factors on the degree of people's panic, which implements an agent-based approach. The proposed method allows, when describing the psycho-emotional behavior of each agent separately in the process of evacuation, to evaluate the effectiveness of organizing the evacuation of the crowd as a whole. The simulation results on the example of a shopping and entertainment center show that possible panic conditions of evacuees can affect the efficiency of evacuation.

Keywords: evacuation, panic, simulation model, efficiency assessment method, shopping and entertainment complex, agent-based approach