This article explores the opportunities and challenges of integrating cloud, fog, and edge computing in the context of digital transformation. The analysis reveals that the synergy of these technologies enables optimization of big data processing, enhances system adaptability, and ensures information security. Special attention is given to hybrid architectures that combine the advantages of centralized and decentralized approaches. Practical aspects are addressed, such as the use of the ENIGMA simulator for modeling scalable infrastructures and the EC-CC architecture for smart grids and IoT systems. The role of specialized frameworks in optimizing routing and improving infrastructure reliability is also highlighted. The integration of these technologies drives advancements in key industries, including energy, healthcare, and the Internet of Things, despite challenges related to data security.

Keywords: cloud computing, fog computing, edge computing, hybrid architectures, Internet of Things, digital transformation, big data, decentralized systems, computing integration, distributed computing, data security, resource optimization, data transfer speed

The paper analyzes existing effective technologies of waste recycling and utilization. The authors consider various approaches in the international practice of recycling production and consumption waste. An assessment is given of the possibilities of using effective technologies for waste recycling and disposal and the necessary costs for their implementation in relation to the conditions of an industrial enterprise. The types and volumes of waste that can be recycled and disposed of irrevocably are considered, for which the carbon footprint parameters are calculated using the materials management model. A statistical regression analysis of data on the production, processing, disposal and incineration of polyethylene waste, solid municipal waste and paper was carried out. The principles of building a system for reducing technogenic risks and managing production and consumption waste were determined.

Keywords: waste processing; waste disposal; carbon footprint; carbon footprint calculation methods; man-made risk management system; hazardous impact factors; industrial waste management

The paper investigates the use of architectural combinatorics to solve the problems of multifunctional residential complexes in the conditions of digital transformation. The main methods of combinatorics, including conceptual and formal approaches, are considered. The main stages of evolution of the method, starting from constructivism, and the role of modern digital technologies such as BIM, parametric modeling, machine learning and artificial intelligence in the implementation of combinatorial approaches are described. Attention is given to sustainable architecture and optimization of spatial solutions. Successful and problematic project examples are analyzed. Limitations of the application of the technologies are analyzed, as well as ethical and social aspects of their use. The conclusions substantiate the significance of the method in the context of contemporary challenges.

Keywords: architectural combinatorics, combinatorial methods, multifunctional residential complex, sustainable development, sustainable architecture, adaptive architecture, digital technologies, BIM, parametric modeling, machine learning, artificial intelligence

The paper analyzes existing 3D printing technologies in the context of application in construction. The experience of 3D printing application in commercial projects is considered. Scientific research on the improvement of various technologies is summarized. 3D printing technologies promising for construction - wire-arc and ultrasonic additive manufacturing - are identified.

Keywords: 3D printing, construction, additive technologies

Mathematical modeling, numerical methods and program complexes (technical sciences). Geopolitical situation analysis of a number of episodes of the American Revolution in the context of applying structural balance and mathematical modeling methods. Structural balance management can help to find the most optimal strategies for interacting parties. This approach is used in a set of disciplines. In this article, the author analyzes examples of actors' interaction in the context of the American Revolution, which allows us to evaluate the state of affairs at this historical stage in an illustrative form. This approach is universal and is able to emphasize the management of structural balance in systems with actors, each of which has its own features and interests. A number of specific historical episodes serves as an example of the balanced and unbalanced systems. Each episode has its explanation in the frame of history. During the American Revolution, actors (countries and specific politicians, as well as indigenous peoples) had their own goals and interests, and their positive or negative interactions shaped the course of history in many ways.

Keywords: mathematical modeling, structural balance, discrete models, sign graph, U.S. history

The article is devoted to the development of a tool for automated generation of time constraints in the context of circuit development in the basis of programmable logic integrated circuits (FPGAs). The paper analyzes current solutions in the field of interface tools for generating design constraints. The data structure for the means of generating design constraints and algorithms for reading and writing Synopsys Design Constraints format files have been developed. Based on the developed structures and algorithms, a software module was implemented, which was subsequently implemented into the circuit design flow in the FPGA basis - X-CAD.

Keywords: computer-aided design, field programmable gate array, automation, design constraints, development, design route, interface, algorithm, tool, static timing analysis

The article presents an analysis of the application of the Socratic method for selecting machine learning models in corporate information systems. The study aims to explore the potential of utilizing the modular architecture of Socratic Models for integrating pretrained models without the need for additional training. The methodology relies on linguistic interactions between modules, enabling the combination of data from various domains, including text, images, and audio, to address multimodal tasks. The results demonstrate that the proposed approach holds significant potential for optimizing model selection, accelerating decision-making processes, and reducing the costs associated with implementing artificial intelligence in corporate environments.

Keywords: Socratic method, machine learning, corporate information systems, multimodal data, linguistic interaction, business process optimization, artificial intelligence

The article examines the modular structure of interactions between various models based on the Socratic dialogue. The research aims to explore the possibilities of synthesizing neural networks and system analysis using Socratic methods for managing corporate IT projects. The application of these methods enables the integration of knowledge stored in pre – trained models without additional training, facilitating the resolution of complex management tasks. The research methodology is based on analyzing the capabilities of multimodal models, their integration through linguistic interactions, and system analysis of key aspects of IT project management. The results include the development of a structured framework for selecting suitable models and generating recommendations, thereby improving the efficiency of project management in corporate environments. The scientific significance of the study lies in the integration of modern artificial intelligence approaches to implement system analysis using multi – agent solutions.

Keywords: neural networks, system analysis, Socratic method, corporate IT projects, multimodal models, project management

This article is devoted to a comparative analysis of methods for extracting knowledge from texts used to build ontologies. Various extraction approaches are reviewed, such as lexical, statistical, machine learning and deep learning methods, as well as ontology-oriented methods. As a result of the study, recommendations are formulated for choosing the most effective methods depending on the specifics of the task and the type of data being processed.

Keywords: ontology, knowledge extraction, text classification, named entities, machine learning, semantic analysis, model

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 discusses options for solving the problem of slowing down the operating cycle of programmable logic controllers that occurs when implementing complex algorithms. For most modern programmable logic controllers, the operating cycle directly depends on the volume of the user program. The program is executed pseudo-parallel, so the complexity of the algorithm affects the slowdown of the cycle indirectly, through an increase in the code volume. The growth of the program leads to a slowdown in the controller's response to changes in the state of the inputs. In some cases, controller developers provide programmers with options that allow them to disrupt the natural order of the operating cycle, thereby reducing the response time. The advantages and disadvantages of such methods are discussed in detail in this article. As an alternative way to reduce the controller's response time, the possibility of transferring the execution of a part of the algorithm to the operator's touch panel is considered. Modern touch panels, in addition to their main task - implementing the human-machine interface, have many additional functions, including the ability to use macros. The main functionality of macros is given and the possibility of exchanging data between the controller and the panel is demonstrated. This feature is a prerequisite for delegating some of the functions of the panel controller. The limitations and risks that arise when using this approach are discussed in detail, and situations in which it is preferable to use this method are identified.

Keywords: programmable logic controller, operator touch panel, controller operation cycle, distribution of computing resources, macros

The article provides an overview of existing technical solutions, considered from the point of view of two approaches: complete replacement of the electrolysis plant with a modern analog; replacement of only the measuring part of the system. Based on the results of a review of existing technical solutions, it was concluded that the purchase and replacement of an entire electrolysis plant or a software measuring part is economically unprofitable, and Berezovskaya GRES can implement its own SEU-20 plant management system using modern Russian-made automation software, but its own development will bring significant economic benefits. due to the lower cost compared to foreign counterparts. Для проектируемой системы управления технологическим процессом выбрано необходимое оборудование. Рассчитано время реакции системы при аварийной ситуации. Разработаны электрическая структурная и функциональная схемы автоматизации электролизной установки СЭУ-20. Разработан интерфейс АРМ оператора и произведено моделирование разработанной программы с отработкой различных ситуаций.

Keywords: electrolysis plant, import substitution, remote control, remote control, PLC programming, APM operator

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 presents the results of a numerical experiment comparing the accuracy of neural network recognition of objects in images using various types of data set extensions. It describes the need to expand data sets using adaptive approaches in order to minimize the use of image transformations that may reduce the accuracy of object recognition. The author considers such approaches to data set expansion as random and automatic augmentation, as they are common, as well as the developed method of adaptive data set expansion using a reinforcement learning algorithm. The algorithms of operation of each of the approaches, their advantages and disadvantages of the methods are given. The work and main parameters of the developed method of expanding the dataset using the Deep-Q-Network algorithm are described from the point of view of the algorithm and the main module of the software package. Attention is being paid to one of the machine learning approaches, namely reinforcement learning. The application of a neural network for approximating the Q-function and updating it in the learning process, which is based on the developed method, is described. The experimental results show the advantage of using data set expansion using a reinforcement learning algorithm using the example of the Squeezenet v1.1 classification model. The comparison of recognition accuracy using data set expansion methods was carried out using the same parameters of a neural network classifier with and without the use of pre-trained weights. Thus, the increase in accuracy in comparison with other methods varies from 2.91% to 6.635%.

Keywords: dataset, extension, neural network models, classification, image transformation, data replacement

The article presents an analysis of the network stability of modern banking systems from the point of view of graph theory. The use of graph models makes it possible to effectively describe complex network structures, identify bottlenecks, and predict system behavior during failures or attacks. Algorithms based on graph theory, such as Dijkstra's Algorithm, have been proposed to ensure minimal transaction processing time and improve system reliability. A comparative analysis of various optimization methods through modeling on abstract graphs and real banking network data was carried out. As a result of the study, solutions were proposed to protect the banking system, as well as improve its connectivity and fault tolerance.

Keywords: banking system, graph theory, Dijkstra's algorithm, blockchain, transactions, cyber attack, network stability analysis, banking infrastructure, cyber security, DDoS attack

The concept of symbiosis of architecture, design objects and monumental and decorative art in the interiors of public buildings in the context of renovation of industrial facilities is aimed at preserving the historical identity of buildings, adapting them to modern functions and creating a unique aesthetic where architectural forms, design solutions and artistic elements form a single whole. Renovation of industrial facilities involves a number of challenges: the need to maintain a balance between history and innovation, the integration of artistic and functional aspects, as well as compliance with environmental standards. The use of recycled materials, hybrid technologies and "smart" interiors makes it possible to cope with these tasks. The concept of three components contributes to the creation of spaces that become cultural and social centers. Such projects inspire, emphasize the value of architectural heritage and open up new perspectives for the sustainable development of the urban environment, contributing to the formation of emotionally rich and functionally significant interiors that reflect the spirit of the times and preserve the connection with the past.

Keywords: renovation, industrial buildings, renovation of industrial buildings, public buildings, sustainable architecture, design, monumental and decorative arts, interiors of public buildings, historical heritage, interdisciplinary approach

The article analyzes modern approaches to the use of innovative materials to create an inclusive environment in residential buildings. The paper examines the main problems associated with the obsolescence of building materials, and offers promising solutions based on the use of adaptive and environmentally friendly technologies that enhance accessibility and comfort.

Keywords: inclusive environment, the problem of outdated materials, innovative materials, innovations, trends and prospects, bioplastics, carbon concrete, OLED panels, adaptive structures, accessibility, comfortable environment, design

The emergence of the city was associated with the need to organize water use, organize irrigation works, create its facilities, which in turn required the management of the organization of these works and the creation of facilities for the exploitation of water in agriculture. Finding an average balance between demand and availability of resources was a priority, especially for areas experiencing water shortages. Then, the reliability of available resources in conditions of drought or shortage became a key issue in order to cope with climate variability. In parallel, climate change will affect the spatial distribution and timing of water availability. As a result, in the future, water shortage in cities may become a much more serious problem, which may jeopardize the achievement of the UN Sustainable Development Goals (SDGs), especially "Sustainable Cities and Communities". Historically, since settlements were located some distance from water sources, a variety of sources and technologies for collection, transportation, treatment and waste collection emerged. Population growth and technological developments have led to the emergence of new forms of alternative resources capable of meeting the needs and specific requirements of water-related activities.

Keywords: sustainability of water resources, Syrian Arab Republic, rehabilitation, water-sensitive urban planning, building density, land use distribution

The article considers the strengthening of the upper chord of the triangular strut system as a method for restoring the bearing capacity of a glued laminated timber element according to the 1st group of limit states. The strengthening allowed us to obtain as a result of calculations a strength utilization factor not exceeding the limit value.

Keywords: triangular spacer system, upper chord, glued laminated timber element, modulus of elasticity, volumetric weight, compressive force, bending moment

The article discusses the use of carbon anchor harnesses to strengthen building structures. Their design features, installation technologies, and key advantages, including low weight, high strength, corrosion resistance, and durability, are described. An overview of existing experiments demonstrating the reliability of anchor harnesses under load, their effectiveness in preventing the stratification of external reinforcement elements and increasing the strength of joints is given. The shortcomings of the regulatory framework and the lack of practical recommendations on the selection and design of anchor harnesses are indicated. The authors emphasize the need for further research to optimize the interaction of the elements of the reinforced structure-external reinforcement-anchor system.

Keywords: anchor harness, carbon fiber, load-bearing capacity, structural reinforcement, teamwork

Determining the deformability of the bearing structures of the coating, as an indicator of the use of the stiffness of the cross-section of the elements, is an urgent task, which is aimed at solving the current work. The purpose of the article is a comparative calculation of frame structures under the assumption of a different coating truss solution. The following types of load-bearing roof trusses should be considered: segment truss, trapezoidal truss, triangular truss. The calculation of frames using wood as load-bearing structures for the total effect of permanent and short-term loads causing maximum vertical deformations is given. In this paper, the coefficients of using the rigidity of truss structures using wood are determined and the dependence of the stiffness value on the type of outline of the coating truss is established. A comparison of the calculation results with the normative maximum permissible values allowed us to establish the most effective type of outline of the wooden roof truss.

Keywords: coating truss, modulus of elasticity, stiffness, upper belt, slant, lower belt, computational study, through-hole construction, segmental truss

Based on statistical data, the article presents a solution to the problem of finding an empirical function that establishes a link between the tourist flow and the proportion of the area of specially protected areas from the total territory of the island. For the analysis, data was collected on 14 islands with a developed tourism industry. Power functions are obtained for two groups of islands with different areas. The obtained dependencies make it possible, at the stage of urban planning analysis of the territory, to determine the permissible value of the tourist flow, which ensures tourist activity based on the principles of sustainable tourism. Using this function, the maximum value of the allowable tourist flow for the island of Socotra has been set, the development of which is focused on the tourism industry.

Keywords: urban development analysis, tourist flow, specially protected natural areas, correlation dependence, approximation, sustainable tourism