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  • On development of an electronic notification system for students in an educational institution

    The article describes the prerequisites for creating an electronic notification system for students in an educational institution. A use case diagram is provided that describes interaction with the system from the point of view of the user-employee of the educational department and the user-student. A diagram of the physical database model is presented and a description of the purpose of the tables is given. The system uses two types of client applications: an administrative client for organizing the work of educational department employees and a Telegram bot for working on the students’ side. A scheme for working with user data when processing chatbot commands is defined in the IDEF0 notation. The choice of the interlocutor program as a communication tool was made based on the popularity of this technology. The administrative client is implemented in C# using Windows Forms technology, the chatbot is implemented in Python using the “schedule” time planning library, “time” working with time and “threading” multi-threading support.

    Keywords: chat bot, Telegram bot, messenger, message, mobile device, information system, database, computer program, application

  • Development of algorithmic and software for an automated web-based information system for electronic document management in the educational field

    The article is devoted to the development of automated information systems (AIS) for electronic document management in the educational field. Using the example of the process of accreditation monitoring of basic professional educational programs implemented in university departments, functional requirements, user algorithms and a prototype AIS (web system) for generating documents have been developed. The use of the considered AIS allows you to flexibly customize the structure of documents and data completion forms for accreditation monitoring, add and edit the required data about teachers in visual web interfaces, automatically generate documents based on information stored in the database, manage the life cycles of documents, evaluate the quality of the documents compiled. The labor intensity of working with documents is significantly simplified compared to existing business processes. The proposed approach can be applied to the development of document flow subsystems for various business processes of a university within the framework of educational, methodological, scientific and other types of activities of employees and, as a result, towards the creation of a unified AIS for electronic document management of the university, based on the integration of all subsystems. The described functionality and algorithms can be adapted to the creation of web systems for electronic document management of computer training complexes (CTC) for collecting and processing data on the progress of students, managing the life cycle of developing exercises for the CTC and performing them by trainees.

    Keywords: automated information systems, electronic document management, information technologies in education, document life cycle, UML graphic notation

  • Peculiarities and problems of street lighting design based on automated lighting control systems

    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

  • Problems arising between the customer and the general contractor (subsidiary of the customer) during the implementation of investment projects in the field of capital construction, and ways to solve them

    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

  • Modeling of the activity of an enterprise for the production of asphalt and asphalt concrete mix

    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

  • Making compromise decisions in the internal affairs bodies when analyzing the operational situation

    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 research of the dynamic model of innovation in organizations

    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

  • Determining the principles of semantic and formal management in the process of monitoring the regulatory framework for ensuring fire safety in the Republic of Vietnam

    The article examines methods for identifying semantic and formal management guidelines in monitoring the regulatory framework for ensuring fire safety in the Republic of Vietnam. The research includes in-depth semantic analysis, multi-level security parameters, the use of neural networks and innovative approaches to improve the effectiveness of the fire safety system at various levels. The work emphasizes the relevance of developing methods and tools for determining risk levels in the absence of clear numerical values of the accepted risk in legislation.

    Keywords: in-depth semantic analysis, multi-level security parameters, neural networks, regulatory monitoring, fire safety, risk management, regulatory legislation, security innovations, fire inspectors, Republic of Vietnam

  • An integrated approach to optimizing the provision of resources in critical conditions: from linear models to dynamic modeling

    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.

  • The problem of detecting faces in a video stream: a review of technologies

    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

  • Theoretical justification of examination mechanisms using expert assessment methods to analyze the vulnerability of an important government facility

    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

  • An artificial intelligence model to support management decisions to increase the efficiency of preventive measures to prevent fire

    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

  • Identify and rank threats at a critical government facility

    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

  • Correlation analysis of the fire and rescue units functioning parameters

    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

  • Using fuzzy cognitive maps to solve the problem of municipal development

    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

  • Intelligent support for adaptive construction of project trajectory

    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

  • Mechanisms for adapting the development of development strategies for a modern mining enterprise

    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

  • Methods and means of forming and evaluating the competencies of specialists in the field of information security based on a multifunctional software and hardware complex

    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

  • Using the Monty Hall paradox in project management tasks. Part II. Use in combination with Blotto game models. A task with random intelligence

    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

  • Analysis of the objectivity of the use of BIM technologies in construction

    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

  • Development of a system for remote monitoring and control of spatially distributed objects using LoRa network technology

    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

  • Aspects of the rational use of the road infrastructure of intra-block streets in the city

    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

  • Development of an educational model for learning of online courses within network programs

    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

  • Forecasting the risk of destruction of building structures

    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

  • Decision-making in the territorial bodies of the Ministry of Internal Affairs of Russia in conditions of risk and uncertainty

    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