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

In the article a modification of the socio-ecological-economic model of regions within a macroregion to a network model of districts within a subsidized region is built, taking into account the distances between them that affect the economic relationships of the regions. Structural identification of the model parameters is carried out using the example of data from the Republic of Kalmykia of the Russian Federation. The aim of the research is to build the region hierarchy model to analyse that control the district developing to maximize gross regional product. To do this, some relations of the Solow model were reconsidered and some functions were rebuilt including birth and death coefficients. The influence on gross regional product of Innovative index was also investigated and the value of Republic of Kalmykia is found. Network structure taking into account distances between the districtd is included into the model.

Keywords: network model, structural identification of parameters, subsidized region, payoff functions, economic interrelations of regions, birth rate, death rate, innovation index, fixed assets, labor force, final product, gross regional product

The article examines the man-made risks in the Arctic zone of the Russian Federation, methods of working with data related to the use of intellectual analysis, and the use of information systems for forecasting risks and is designed for the widest range of readers. The conducted research demonstrates that the use of data mining methods opens up broad prospects for data integration. This process includes the adaptation of the system to specific emergency situations typical of the Arctic zone of the Russian Federation, as well as the development of appropriate interfaces for interaction with external subsystems. As a result of the conducted research, the conclusions were obtained: 1. Intelligent methods allow you to analyze large amounts of data and identify hidden patterns, which helps you make more informed decisions. The quality of decisions is improved. 2. Intelligent data processing allows you to automate routine tasks and optimize business processes. This leads to increased productivity and lower costs. The efficiency of business processes increases. 3. Intelligent systems can analyze data about past events and predict future trends. This allows you to take measures to reduce risks and ensure safety. These processes make it possible to reduce risks. 4. Intelligent algorithms can process data in real time, which allows you to quickly respond to changes in the external environment. 5. In the future, it is planned to work out the issue of introducing intelligent data analysis algorithms into man-made emergency forecasting analytics systems and the development of the data science concept, such as the GIS Atlas of Natural Hazards and Risks.

Keywords: data mining, forecasting, emergency, man-made risk, information system

The article discusses the issues of organizational and technological approaches in the design of facilities to be reconstructed. During the operation of buildings, the reliability of their structures is subject to cyclical changes. The dynamics of loads, as well as damage resulting from operation, can have a significant impact on the strength and durability of construction facilities. The reasons for the technical inspection during reconstruction are analyzed. The diagnosis of structural failure is analyzed. In most cases, emergencies are the result of missed errors at the design stage of the project, construction of the construction site and its operation. To minimize such risks, additional measures are being implemented aimed at quality control at all stages - from design to commissioning. A number of conditions have been identified under which most defects in the design and operation of structures can be prevented even at the stage of development of the reconstruction project.

Keywords: reconstruction, construction and technical expertise, reliability, organizational and technological solutions, defects, quality control, efficiency

This article discusses effective ways and means for analyzing the condition of real estate objects, as well as predicting changes in their operational properties over time. These approaches open up prospects for improving the accuracy of predictions of wear patterns of both physical and functional components, as well as the aging of building structures, structures and engineering systems. Ultimately, this helps to maintain the proper level of their work and ensure high-quality functioning. Considerable attention is also paid to the general kinetic theory of structural wear of construction facilities, as it is known that this theory makes it possible to assess the corresponding reliability risks with fairly high accuracy, depending on the service life of the building structures of the facility. As a research tool, it is proposed to use a universal mathematical model of wear, which illustrates the dynamics of the processes of structuring and destruction of building systems throughout their entire service life. The model reflects the constant interaction of the structure with long-term impact factors. A statistical model has also been developed to determine the probability of the transition of building elements to a state of destruction due to the influence of adverse factors, which is directly related to the loss of their reliability.

Keywords: organizational and technological solutions, reliability, quality control, efficiency, cost, labor productivity

In this article, we consider the system of quality management of legislation in the Russian Federation: we define its basic elements, the main tools for quality control (management) in the form of legal examinations, provide a generalized algorithm for quality assessment, propose a simple general classification of controlled factors in legal examinations, and introduce the concept of a bill readiness indicator. The most important legal examination - anti-corruption (ALE) - was chosen as an example for conducting quality control of legislation. Within the framework of general trends in automation, informatization, and digitalization, we considered the use of artificial intelligence (AI) for the purposes of conducting ALE, which, in some cases of "routine work", could provide all possible assistance to specialists in the field of legal examinations and their digitalization. In this regard, a step-by-step algorithm for pre-training AI was formulated using examples from regulatory legal acts (RLA) containing corruption factors (CF); a classification of CF was carried out; a scale of AI errors in detecting CF was developed; frequency characteristics of AI errors were determined; Preliminary conclusions were obtained on the possibility of using AI in AEC.

Keywords: artificial intelligence, corruption factor, anti-corruption expertise, normative legal act, corruption factor indicator, pre-training, algorithm, errors, frequency distribution, classification, dialogue.

The article discusses the relationship between the parameters of the construction flow and the cost of work. A key aspect of the process of increasing profits, minimizing costs and improving the characteristics of products is the justification of the timing of the construction of facilities. Estimating the duration and cost of work enables the decision maker to come to more informed business decisions. The estimated construction estimate does not include all the organizational, technological and financial costs of the construction company. The costs of planned downtime of performers and the front of work, improving the quality of construction products, etc. are not taken into account. The primary task is to systematize the correlation of dependencies between the parameters of the construction flow, namely the duration, number of participants and individual stages of construction work, their intensity and degree of workload of performers, and on the other hand, the cost of construction with different approaches to organization construction processes and works. Relationships and dependencies between flow parameters and costs have been established.

Keywords: organizational and technological solutions, reliability, quality control, efficiency, cost, labor productivity

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

The article analyzes the influence of the parameters of the composition of the traffic flow of vehicles and the parameter of changing the speed limit on road safety in the Tyumen region. Indicators of relative accident rates for highways and short sections of roads are determined, formulas for their calculation are obtained. The results of the analysis made it possible to assess the impact of the parameters on road safety and formulate tasks for its improvement.

Keywords: Safety, road, transport, speed, mode, composition, flow, accident rate, parameters

The article is devoted to the design of a test automation system for the DBaaS Postgres Pro cloud database management manager. New approaches, concepts and definitions of the theory of test automation are formulated and old ones are updated. An analysis of modern tools widely used in commercial software development is carried out. The features of the system under test were studied, including the specifics of working with cloud computing and the Postgres DBMS. Based on the data obtained, an optimal technology stack was formed that is planned to be used in development, and functional requirements for the test automation system were developed. In practical terms, the use of this system on a DBaaS project will reduce labor intensity and speed up work at the testing and development stages, increase the efficiency of testing and the quality of the software product.

Keywords: software testing automation, DBaaS, cloud database, Postgres DBMS, GO programming language

In an era when knowledge is becoming the foundation of a company's success, skillful human factor management is of great importance. The employee is the main generator of knowledge, skills and abilities. Personnel is an indispensable element in the production system, as nothing happens without human involvement. A person and their qualifications become a key determinant of the efficiency of the production process. The perception of employees through the prism of capital capable of generating profits is being introduced as a concept into daily management practice. However, the stereotypes that have formed over the years about the benefits of using cheap, unskilled labor as an easily replaceable component cannot be quickly overcome. The effective functioning of the production system and the achievement of its goals require the introduction of modern human factor management concepts that respond to the challenges occurring in the internal and external environment of modern organizations. Today, it is becoming necessary to take into account the problems associated with quantitative and qualitative transformations of human resources. The qualification of personnel is an important factor in the accurate execution of the production plan, which is confirmed by empirical research data.

Keywords: organization management, personnel, human resources, human factor, plan execution

The article discusses the method of random investment in the problem of risk management. An algorithm for calculating the optimal distribution for a limited sample is formulated. An example of calculating the optimal distribution is given.

Keywords: portfolio,profitability, risk, investment, sample

This article analyzes the organizational and technological solutions used in the investment and construction sector, aimed at significantly increasing the efficiency of construction production and optimizing labor productivity. The process of implementing investment and construction activities is a multifaceted set of strategic maneuvers aimed at attracting capital investments, improving organizational and technological management and successfully completing project initiatives. The integration of innovative approaches in resource management and labor organization processes serves as the basis for the formation of a sustainable competitive advantage and maximizing performance in the dynamically developing construction industry. Organizational and technological schemes for the implementation of investment and construction projects are considered. Attention is paid to the issue of complex turnkey contracts, which involve the preparation of preliminary contract documentation in two stages. The contractor studies the requirements put forward by the customer, after which he sends him his proposals, after approval and acceptance of which the risk of constructive and organizational and technological solutions is reduced.

Keywords: organizational and technological solutions, investment and construction processes, facility, organizational management structures, reliability, efficiency

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