This article reveals the features of the operation of information and measuring systems during gas transportation. The issues reflected in the article are particularly relevant in the context of the need to achieve the efficiency of information and measuring systems in the oil and gas industry. The purpose of the scientific research is to develop an approach to information and measuring systems in oil and gas organizations based on the digital twin model. To achieve this goal, the article analyzes practical cases of information and measuring systems in oil and gas organizations, reflects the features of certification of information and measuring systems used in oil and gas organizations, and presents the results of developing an approach to information and measuring systems in oil and gas organizations based on the digital twin model.

Keywords: information and measuring systems; oil and gas industry; certification; digital twin model; gas transportation; approach; work efficiency

In this work, an approach is considered, which makes it possible to obtain scientific-based management decisions on the development of organizational systems. The purpose of the work is to show in a particular example the development of a fuzzy cognitive model development process, to analyze the model for sustainability, to determine the activation vertex complexes. The toolkit for describing and analyzing a fuzzy cognitive model is based on the basic concepts of fuzzy graph theory. Simulation results are given, directed to the development of possible scenarios for the development of situations of a socio-economic system of the Rostov region. The results are clearly illustrated by examples of fourteen scenarios, the matching of which to the main factors made it possible to determine a plurality of pessimistic and optimistic and to give recommendations to the face receiving the decision.

Keywords: control, organizational system, cognitive model, simulation modeling, fuzzy graph, sustainability

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

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

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 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

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

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

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 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 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

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

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

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.