The article is devoted to the analysis and optimization of the stability of engineering structures to wind loads through the use of innovative structures of support and anchor foundations. In modern construction, when the requirements for reliability and stability of buildings have increased, special attention is being paid to the development of effective foundations capable of withstanding both compressive and pulling loads. Support and anchor foundations are presented as a comprehensive solution, including combined anchors and a monolithic slab (grillwork), ensuring uniform load distribution. The main focus is on the combined anchor, which acts as the main working element that receives the forces from the structure and effectively transfers them to the ground. Unlike traditional piles, the proposed design significantly increases the resistance to pulling due to the use of wire anchors with high load-bearing capacity.

Keywords: pile, conical tip, support and anchor foundation, support, combined anchor, grillage

The authors of this article raise the issue of the correct selection of internal material for sandwich panels. The use of these structures is widespread in the construction of industrial facilities, so it is important to consider all the parameters of possible options for the optimal choice. The authors define the objectives of the article as the creation of an auxiliary comparative table with the parameters of the most popular thermal insulation materials for sandwich panels based on regulatory and theoretical information, as well as the formulation of recommendations for the use of a certain material depending on the specified conditions. Particular attention in the study is paid to such properties of materials as moisture resistance, flammability, durability, density and thermal insulation. It is also important to note that the article touches upon the cost issue, namely, market prices for sandwich panels are compared with the considered insulation materials of some suppliers.

Keywords: thermal insulation materials, sandwich panels, properties of materials, analysis of properties, moisture resistance of structures, density

The article is devoted to the analysis and optimization of the stability of engineering structures to wind loads through the use of innovative structures of support and anchor foundations. In modern construction, when the requirements for reliability and stability of buildings have increased, special attention is being paid to the development of effective foundations capable of withstanding both compressive and pulling loads. Support and anchor foundations are presented as a comprehensive solution, including combined anchors and a monolithic slab (grillwork), ensuring uniform load distribution. The main focus is on the combined anchor, which acts as the main working element that receives the forces from the structure and effectively transfers them to the ground. Unlike traditional piles, the proposed design significantly increases the resistance to pulling due to the use of wire anchors with high load-bearing capacity.

Keywords: pile, conical tip, support and anchor foundation, support, combined anchor, grillage

The issue of developing a prototype for an unmanned aerial vehicle (UAV) and creating a control system based on a computer-aided design (CAD) model as part of a project for inspecting construction sites is under consideration. Special attention has been paid to constructing a computer model of a quadcopter. Based on existing methods, energy calculations have been performed and a process for synthesizing controllers in orientation and positioning control circuits has been proposed, considering the sampling rate of the sensors utilized. The outcomes obtained through modeling confirm the suggested algorithm for adjusting controllers. The solution can be utilized by students and professionals in the development of autonomous UAVs or their computer models.

Keywords: quadcopter, computer modeling, PD controller synthesis, UAV design, stereo camera, room inspection

The article presents the results of the development of an algorithm and a desktop application for recognizing Russian-language handwritten text in images using computer vision and deep learning technologies. Classical and modern recognition methods have been studied and an algorithm has been developed and implemented that ensures 71% recognition accuracy. The application allows the user to upload images receive digitized text and save the results in his personal account. The software implementation includes a training block for the model with an assessment of accuracy and completeness metrics. The application meets all the set requirements providing ease of use and functionality.

Keywords: deep learning, handwritten text, image, data, model training, computer vision, feature extraction, CTC, RNN, CNN, CRNN

A project is a single system, an interconnected network of elements: participants, resources, processes, and goals. This relationship is critically important for successful implementation by the technical customer service. Processes that are clearly defined and managed ensure consistency and efficiency. Therefore, project design and management requires a systematic approach that takes into account all relationships and strives to optimize each element to achieve a common goal. A system approach is a method that considers a problem or task in terms of its interrelationships and interactions of all elements of the system. In the context of a technical customer service, this approach can be particularly useful for project management, process optimization, and work efficiency improvement.

Keywords: construction project, technical customer, planning, technologies, risks, system approach, project management, documentation of processes, construction site, system

The article considers the issues of imitation modeling of fibrous material mixing processes using Markov processes. The correct combination and redistribution of components in a two-component mixture significantly affects their physical properties, and the developed model makes it possible to optimize this process. The authors propose an algorithm for modeling transitions between mixture states based on Markov processes.

Keywords: modeling, imitation, mixture, mixing, fibrous materials

The number of information security incidents and the amount of damage caused by them are increasing every year. The relevance of information security incident response remains high. The primary response action is an information security incident localization. The purpose of this study is to reduce the time taken to localize detected information security incidents by information security incident response teams. The purpose is achieved by issuing and using a mandate for information security incident localization by orchestration tools and/or artificial intelligence systems in an automated mode. Analysis and synthesis of available publicly materials were applied as research methods. The results of the analysis and evaluation of different criteria applicability for granting a mandate to localize an information security incident in an incident response are presented in the article. A mandate is granted to orchestration tools and/or artificial intelligence systems to perform localization of an information security incident in an automatic mode, i.e., without the involvement of information security incident response team forces. In evaluation the applicability of various criteria for granting a mandate, unlike the known ones, the level of difficulty in determining values for the criteria in question by information security incident response team forces alone was assessed. Criteria and their values are defined, which, unlike the known ones, highlight the area for information security incidents localization in automatic mode.

Keywords: response team, response area, response, automatic localization, orchestration, artificial intelligence

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

This paper presents the results of a study aimed at developing a method for semantic segmentation of thermal images using a modified neural network algorithm that differs from the original neural network algorithm by a higher speed or processing graphic information. As part of the study, a modification of the DeepLabv3+ semantic segmentation neural network algorithm was carried out by reducing the number of parameters of the neural network model, which made it possible to increase the speed of processing graphic information by 48% – from 27 to 40 frames per second. A training method is also presented that allows to increase the accuracy of the modified neural network algorithm; the accuracy value obtained was 5% lower than the accuracy of the original neural network algorithm.

Keywords: neural network algorithms, semantic segmentation, machine learning, data augmentation

The article offers examples of simulated processes for creating a digital twin, a monitoring process, and a cargo transportation process. A theory is proposed for calculating a mathematical model based on Petri nets. Models for placing an order and its delivery are proposed, as well as a model of information flows using the example of developing models for the processes of transporting perishable products in a refrigerated container.

Keywords: Business process, modeling, BPMN, IDEF1, DFD, Petri nets, mathematical model, intelligent 3D model

The paper presents the results of calculating reliability indicators and analyzing the fault tolerance of the subsystem for monitoring and controlling steam pressure in the steam curtain of a tubular furnace of a diesel fuel hydrotreating technological unit. The effectiveness of reserving critical elements to improve functional safety is substantiated.

Keywords: reliability, fault tolerance, steam curtain, tubular furnace, hydrotreating, diesel fuel, redundancy, functional safety

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