The article analyzes traditional and flexible project management methodologies, their key features, advantages and limitations. Traditional methodologies such as the waterfall model and the critical path method rely on sequential planning that is suitable for projects with fixed requirements. Agile methodologies (Agile, Scrum) are highly adaptable, which is important for projects with frequent changes. The authors compare the conditions of application of both approaches and describe the criteria for choosing a methodology depending on the type and dynamics of the project. The article will be useful for both practitioners and researchers in the field of project management.

Keywords: project management, project management methodology, cascade model, critical path method, program evaluation and review technique, agile software development, critical path method

In the article the sustainability of the network model of districts within the subsidized region is investigated both in terms of each of their dynamic parameters: fixed assets, labor population and its efficiency; and in their combination. In addition, the problem of the lower level in the hierarchical system is solved in the form of a Nash equilibrium – optimal district strategies are found for a given known distribution of subsidies by the region between them. It has been revealed that if there are subsidies to the district, agents do not care how much money is allocated to the development of the district, since all consumption of the district is provided by subsidies, and there are no subsidies to the district, it has to spend 90% of gross product to invest in production.

Keywords: continuous dynamic model, discrete dynamic model, subsidized region, target functions, share of investments, relationships between districts, fertility rate, mortality rate, fixed assets, labor population, Nash equilibrium

Distributed data storage systems (DSS) are multi-parameter, complexly configurable systems. Fault tolerance and reliability of DSS data storage are ensured by a set of different methods. To assess the efficiency of new methods, it is convenient to use software tools that simulate the operation of DSS. The purpose of this work is to study the existing software simulators of DSS to assess the potential of their use. The study is based on the analysis of several software simulators that model the operation of DSS. The analysis took into account such parameters as the choice of the redundancy introduction method, the data placement method, the data recovery algorithm after failure, and the choice of storage architecture. The results of the study show that simulators offer a wide range of options for modeling fault tolerance, but some of them demonstrate greater efficiency in some scenarios. A generalized structural diagram of the simulators is built, revealing the features of the architecture and principles of operation. The CR-SIM simulator has the greatest functionality, but its source codes and executable file are not available. Simulators with open source code do not have a flexible architecture for their expansion with new methods. The сonclusion is made about the need to develop a new simulator in the form of an open source software tool, the architecture of which is designed for its expansion. Such a simulator will allow testing new developments in the field of fault tolerance enhancement technologies.

Keywords: data storage system, fault tolerance, erasure codes, software simulator, dependability, simulation model

An optimization model has been developed for the minimum required number of employees carrying out transport security measures included in transport security units, taking into account the algorithm for distributing employees, including various groups according to individual functions performed at different security levels, as well as the likelihood of various threats to transport security.

Keywords: transport strategy, digitalization of transport security, cost optimization, transport security units, requirements for ensuring transport security

The study is devoted to the development of electronic and distance learning tools for mastering the skills of applying mathematical methods by specialists in the field of automated systems development. The concept (structure) of an automated information system (AIS) for managing the life cycle of exercises to study optimization methods has been developed and schematically presented. An important element of decision support in the AIS is software simulators (training and training components) that generate exercise options and automatically check them based on the properties of mathematical models of optimization problems. An algorithmic and prototype software for the training subsystem for monitoring the skills of solving optimization problems have been developed. Variations in the interfaces for constructing a mathematical model for an optimization problem by a student when performing an exercise in the AIS are demonstrated. Building a model in the interface and, accordingly, the complexity of the exercise depends on the number of model parameters that can be changed by the student. The simulator provides an integral assessment of the student's actions when performing the task. The introduction of the simulator into the digital educational environment of the university will automate and simplify the implementation of current and intermediate control of knowledge and skills in the disciplines studied.

Keywords: optimization problems, mathematical programming, decision support, software simulator, mathematical modeling of systems and processes, visual modeling

The article discusses the development of the 'Service-02' chatbot, designed to receive and register reports of crimes, administrative offenses, and incidents at the police station. The algorithm of the chatbot's operation, its architecture, and main functional capabilities are described. Particular attention is paid to the advantages of using the chatbot to improve the efficiency and quality of interaction between citizens and law enforcement agencies. The stages of development and prospects for further system development are analyzed. The article highlights the significance of digitalization in police work and its impact on improving public safety.

Keywords: chatbot, duty unit, Ministry of the Interior of Russia, police, digitalization, Service-02, internal affairs agencies, Telegram

The article is devoted to the development of a methodology for forming student groups to optimize learning. The study includes a mathematical model and methods for its optimization. The development of a key model for optimizing the schedule and improving learning efficiency is planned.

Keywords: class scheduling, scheduling algorithms, class schedule, academic workload, automated information system, computer simulation experiments, resource allocation

Using the example of the Burzyanskaya SES (Republic of Bashkortostan), operating in an autonomous mode from the power grid, the possibilities of using renewable energy sources (RES) and energy storage systems (ESS) are described. The tasks of ESS in the power system are considered: stabilization of frequency and voltage, optimization of load, reduction of electricity losses. An analysis of the economic efficiency of the implementation of ESS is carried out.

Keywords: electric power grids, renewable energy sources, energy storage systems, isolated systems, power supply

This article is devoted to the development of an innovative decision-making model in organizational systems based on the integration of stable, compositional and stylistic elements of communication. The paper analyzes modern theoretical approaches to decision-making modeling, such as the theory of bounded rationality and game theory, and highlights the role of stable and stylistic statements in effective communication within organizations. The authors propose a concept that includes genre features of communication and methods of cognitive modeling to improve the adaptability and effectiveness of management processes. Practical cases, in particular the use of models at IBM, confirm the possibility of optimizing processes and reducing decision-making time. The proposed model helps to improve the interaction of participants, improve the quality of solutions and the adaptability of organizations to rapidly changing environmental conditions.

Keywords: decision-making, organizational management system, the concept of decision-making modeling, genre-forming communication, decision-making modeling

The article is devoted to the automation of the process of managing road construction works at a manufacturing enterprise. Among the means of communication in Russia, highways are in the first place in terms of length. Construction of new roads, repair and bringing the existing roads to regulatory requirements is a complex process that can be characterized as a project. The process of project-oriented management of road construction works is formalized, project limitations are defined. The enlarged milestones of project-oriented management of road construction works are highlighted, including the stages of initialization and implementation. The categories of system users and their functions are defined. A class diagram of the information system for managing road construction works is provided. An algorithm for the operation of an automated system for managing road construction works based on a project-oriented approach is developed and described in detail. Formalization of the calculation of the percentage of project readiness is carried out based on the significance coefficient. Examples of implementing the algorithm stages in the information system and generating analytical reports in the system are given. The reports generated in the system are described in detail. The economic efficiency of the proposed automation system is substantiated.

Keywords: road construction works, project-oriented management, highway, automation, reporting, significance coefficient, project, project resources, performance indicator, construction, repair

The article deals with the principles of creating software used as part of sensing systems for restoring the visibility of the gas smoke protection service link in a smoke-filled environment during rescue operations. The architectural part of the device and the description of algorithms of the device operation are described. Attention is paid to the methods of forming a digital model of obstacle heights and visualization of the spatial situation. Approaches to filtering of erroneous sensor values and selection of significant contours of objects, processing of data from ultrasonic grating, infrared sensors, as well as temperature and humidity sensors are given. The role of the device in providing accurate navigation, reducing the time to search for the fire center and improving the overall safety of the gas smoke protection service unit when working in a smoky environment is emphasized.

Keywords: smoke protection service, smoke-filled environment, sensing device, algorithms, software, firefighting, reconnaissance, modeling, navigation, sensor data

In the article a cognitive map of an organization whose activities are related to the sale of rolled metal products is presented. The constructed map is investigated analyzing the impulse processes occurring in the constructed system. It is assumed that the system may be affected by random factors such as economic and social crises, examples of which may be a lockdown during a pandemic, military actions in the country, sanctions, etc., as well as weather conditions, which, although accidental, are more predictable than economic and social cataclysms. The processes are investigated for impulse and absolute stability. The possibilities of increasing stability in the system are analyzed. The methods of increasing stability in the system are proposed in order to preserve profits in the rolled metal sales enterprise.

Keywords: cognitive map, metal rolling realization system, socio-economic cataclysms, weather conditions, impulse processes, impulse stability, absolute stability, petal sequence, characteristic polynomial, positive and negative cycles

The article presents the results of the analysis of the architecture of robotic technologies used in warehouse logistics. The following methods of architecture optimization are identified: multifunctionality, modularity, swarm intelligence, and the implementation of several operating modes. Based on the analysis, a conceptual model of a robot for inventory of warehouse premises was created. The main advantages of the model are: the possibility of using the robot outside working hours due to the presence of an autonomous operating mode; application for inventory and for joint work with other robots (coordination of the movement of ground robots); the presence of an interchange algorithm that ensures fault tolerance and a partial solution to the problem of the limited operating time of the robot from the battery.

Keywords: robotic technologies, drones, modularity, swarm intelligence, fault tolerance, warehouse logistics

A current method for finding optimal solutions for urban traffic management is modeling, including traffic micromodeling. Micromodeling is understood as simulation modeling of a section of the street-road network with a level of detail down to an individual vehicle within specialized software. The article addresses the issue of managing the traffic organization process using micromodeling at the municipal level. In smaller cities, executive authorities may lack specialized experts in traffic flow micromodeling. This article formalizes approaches for conducting research on traffic organization micromodeling in street-road network sections. It also formalizes methods for managing the traffic modeling organization process at the municipal level. As a solution to the problem under consideration, it is proposed to apply the mechanism of the organizational-administrative management method "cross-control" with mutual verification of one executor by another within the framework of contractual relations between the municipality and contractors.

Keywords: municipality, modeling, micromodeling, traffic management, cross-control

The article presents a comprehensive analysis of a systematic approach to the implementation and development of innovative information technologies aimed at preventing offenses committed by foreign citizens. The introduction provides an overview of the growing importance of employing advanced technological solutions in law enforcement, particularly in addressing challenges associated with foreign nationals. The main objectives of the study are to explore how the integration of technologies such as big data processing, artificial intelligence, and geographic information systems can enhance the efficiency of preventive measures. The article details the use of data analysis techniques, machine learning models, and system integration to create a unified information platform. This platform enables the consolidation of data from diverse sources, thereby improving the coordination between different law enforcement units and facilitating faster and more informed decision-making processes. The integration of these technologies also supports process standardization, reducing data inconsistencies and ensuring more reliable operations across various departments. The results highlight the benefits of utilizing big data analytics to process vast amounts of information that would be otherwise impossible to handle efficiently. Artificial intelligence, through predictive models and risk assessment tools, plays a crucial role in identifying potential threats and allocating resources effectively. Geographic information systems contribute by mapping crime hotspots and providing spatial analysis, which aids in targeted intervention strategies. The discussion emphasizes the importance of a unified approach to technology implementation, focusing on the creation of an integrated information system that can adapt to ongoing changes in the social and legal environment. The adaptability of the system is critical for maintaining its effectiveness in the face of new challenges and evolving regulatory requirements. The development of standardized data collection and processing protocols further enhances the system's resilience and operational efficiency. In conclusion, the article underscores that a systematic and integrated use of innovative information technologies significantly improves the effectiveness of crime prevention efforts and the overall efficiency of law enforcement agencies. The proposed approach not only facilitates proactive measures but also ensures a high level of responsiveness to emerging security threats, thereby strengthening public safety.

Keywords: systemic approach, innovative information technologies, crime prevention, foreign citizens, big data, artificial intelligence, geoinformation systems, information platform, standardization, law enforcement agencies, efficiency management, data integration

The article considers the issues of risk management in the implementation of investment construction projects in the oil and gas industry. The author's classification of risks, methods for assessing project risks are presented and directions for reducing risks in the implementation of construction projects in the oil and gas industry are proposed. The author attempts to determine the importance of the risk of uncertainty in the implementation of oil and gas projects in the context of instability of economic and political factors.

Keywords: risk assessment, risk of uncertainty, project management, oil and gas industry, investment construction project

The main maintenance of a diversification of production as activity of subjects of managing is considered. being shown in purchase of the operating enterprises, the organizations of the new enterprises, redistribution of investments in interests of the organization and development of new production on available floor spaces. The most important organizational economic targets of a diversification of management are presented by innovative activity of the industrial enterprise.

Keywords: construction, lean manufacturing, process approach, value creation process, IDEF0 notation, kpi

The current problems of the construction industry are considered and an algorithm for the introduction of modern, flexible management methodologies to improve the efficiency of the management process in construction design organizations is proposed, as well as a variant of an integrated efficiency assessment system taking into account KPIs is being developed.

Keywords: construction, design organizations, KPIs, flexible management, Agile, Lean manufacturing, stakeholders, efficiency

Modern digitalization processes involve the use of intelligent systems at key stages of information processing. Given that the data available for intelligent analysis in organizational systems are often fuzzy, there is a problem of comparing the corresponding units of information with each other. There are several known methods for such a comparison. In particular, for random fuzzy variables with known distribution laws, the degree of coincidence of these distribution laws can be used as a criterion for the correspondence of one random variable to another. However, this approach does not have the necessary flexibility required to solve practical problems. The approach we propose allows you to compare fuzzy, fuzzy and clear, as well as clear and clear data. The paper will provide an example illustrating this approach. The material presented in the study was initially focused on managing organizational systems in education. However, its results can be extended to other organizational systems.

Keywords: fuzzy data, weakly structured problems, comparison criteria, hierarchy analysis method, systems analysis, fuzzy benchmarking

The article presents the results of a study devoted to the development of an identification subsystem for an industrial process operator in a mobile simulator used for training and monitoring professional skills. The functional requirements for the operator identification subsystem based on neural network technologies, the processes of user interaction with the personality recognition subsystem, and loading a reference image for further identification of the operator during training and monitoring on the simulator are formalized using visual models in UML notation. A prototype of the subsystem has been developed based on the Kotlin programming language and the TensorFlow library. The developed image analysis subsystem has a high speed of face detection and initialization, reaching less than 0.5 s, which makes it especially effective for real-time tasks where performance plays a key role. Local data processing on mobile devices ensures protection of user privacy by eliminating data transfer to remote servers, which minimizes the risks of information leaks. Optimization of power consumption ensures long-term operation on devices with limited battery capacity, which makes the system convenient and practical to use. The considered subsystem is planned to be adapted for monitoring the formation of skills for working on equipment during operator training on mobile simulators. The subsystem, based on VR/AR technologies, as well as a trained neural network, will analyze data on user reactions in real time.

Keywords: mobile simulators, neural networks, user identification, professional training, UML diagrams, TensorFlow

The purpose of the article is a software implementation of a module for analyzing the activity of site users based on a heat map of clicks, compatible with domestic web services, for example, combining the functionality of correlation and regression analysis and visualization in the form of dashboards before and after making changes to site elements. All functionality is carried out directly in the web analytics service. Based on the data obtained on the analyzed site element, a decision is made to adjust the design and/or content to increase the click rate. Thus, the proposed solution allows us to expand the functionality of the web analytics service and reduce labor costs. The software module has been successfully tested. As a result of the analysis and making the necessary adjustments to the site, the click rate increased

Keywords: user activity, correlation and regression analysis, dashboard, program module, trend line, coefficient of determination

There is often a need to analyze unstructured data when assessing the risk of emergency situations. Traditional analysis methods may not take into account the ambiguity of information, which makes them insufficiently effective for risk assessment. The article proposes the use of a modified hierarchy process analysis method using fuzzy logic, which allows for more effective consideration of uncertainties and subjective assessments in the process of analyzing emergency risks. In addition, such methods allow for consideration of not only quantitative indicators, but also qualitative ones. This, in turn, can lead to more informed decisions in the field of risk management and increased preparedness for various situations. The integration of technologies for working with unstructured data in the process of assessing emergency risks not only increases the accuracy of forecasting, but also allows for adapting management strategies to changing conditions.

Keywords: artificial intelligent systems, unstructured data, risk assessment, classical hierarchy analysis method, modified hierarchy analysis method, fuzzy logical inference system

This paper explores methods for using large language models (LLM) to detect provocative comments on social media during mass protests. We analyze existing approaches to text data processing and develop a methodology for using LLama3 8B, Mistral 7B, and Gemma 7B models. The effectiveness of the models is evaluated using comments related to the protests in Mongolia in December 2022. The results demonstrate that the Mistral 7B model has the highest accuracy and efficiency in classifying provocative comments. The findings confirm that the use of large language models significantly improves the accuracy and speed of content analysis on social media, which is important for public opinion management and conflict prevention.

Keywords: large language model, social network, provocative comment, mass protest, text analysis, natural language processing, LLama3 8B, Mistral 7B, Gemma 7B, classification, accuracy, recall, F1-score, political instability, public opinion management

The paper considers the task of collection and preparation of data coming from several information systems on the example of automation of registrar's reporting. The languages OWL, XML, XBRL and semantic networks can be used to describe the subject area. A set of criteria for analysing and selecting the most appropriate knowledge representation language for the purpose of data collection on the example of financial statements is prepared. The results of service development are described and the application of XBRL format is shown. The multi-agent approach to modelling and design of information systems was used in the development of the service.

Keywords: data mining, subject area model, data formats, XBRL, business process, service, data integration

The article is devoted to the solution of the problem of forming mechanisms for ensuring sustainable functioning of natural and man-made risks management processes in territorially distributed organizational systems determined by both the spatio-temporal structure of the enclosing natural landscapes and the characteristics of man-made impact. The article presents and substantiates the position that regional geographic information systems and geoportals should play a key role in the risk management system. The example of the regional GIS "Mordovia" and the geoportals "Metageosystems of Mordovia. Spatial data of the region" and "Natural and cultural heritage of the Republic of Mordovia. Traveling with the Russian Geographical Society" shows the possibility of using an analytical approach to the analysis of geosystems of various hierarchical levels to solve the problem of risk analysis in territorially distributed organizational systems.

Keywords: geographic information system, geoportal, risk analysis, spatial data, geosystems, geographically distributed organizational system