Steel hoisting ropes play an important role in metallurgical equipment, ensuring reliability and efficiency of lifting operations. One of the key features of their operation is the high level of contamination typical of metallurgical operations. Metallurgical processes are often accompanied by dust, metal chips and other abrasive particles that can significantly degrade ropes, causing wear and corrosion. To maintain the efficient operation of equipment it is necessary to monitor the condition of hoisting ropes in real time, which makes the task of improving automatic systems for monitoring the condition of ropes urgent. The paper reviews the methods of optical control of defects in hoisting steel ropes, the advantages and limitations of different approaches are considered. The aim of the work is to justify the effectiveness of the authors' developed method of analyzing rope defect images using neural networks in relation to the method based on the discrete Fourier transform. It is revealed that one of the most promising in terms of technical and economic efficiency of inspection methods is the application of vision system with image processing based on convolutional neural network technology, which allows to effectively detect defects in complex and changing operating conditions, such as metallurgical and mining production, where the background of the image may be non-uniform, and the distance between the camera and the rope varies.

Keywords: lifting ropes, vision systems, optical control methods, fast Fourier transform, hidden Markov models, convolutional neural networks

This article explores the development and implementation of an intelligent chatbot for information support for university staff and students. The solution is integrated into a unified personal account and is based on the locally deployed Gemma language model, the n8n automation platform, and the Supabase vector database. The design methodology, technology comparison, system architecture, implementation process, and testing results are described. Implementation of the system enabled the automation of 85% of routine queries, reduced the average response time to 1.8–2.1 seconds, and increased user satisfaction to 4.58 out of 5. The study's results can be adapted for various automated educational systems, particularly for providing information support to operators in computer simulator training courses.

Keywords: intelligent chatbot, language models, artificial intelligence, information support, higher education, semantic search

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

This article discusses the basic concepts and practical aspects of programming using the actor model on the Akka platform. The actor model is a powerful tool for creating parallel and distributed systems, providing high performance, fault tolerance and scalability. The article describes in detail the basic principles of how actors work, their lifecycle, and messaging mechanisms, as well as provides examples of typical patterns such as Master/Worker and Proxy. Special attention is paid to clustering and remote interaction of actors, which makes the article useful for developers working on distributed systems.

Keywords: actor model, akka, parallel programming, distributed systems, messaging, clustering, fault tolerance, actor lifecycle, programming patterns, master worker, proxy actor, synchronization, asynchrony, scalability, error handling

This article is devoted to a comparative analysis of the resilience of ResNet18 and ResNet50 neural networks to adversarial attacks on training sets. The issue of the importance of ensuring the safety of learning sets is considered, taking into account the growing scope of artificial intelligence applications. The process of conducting an adversarial attack is described using the example of an animal recognition task. The results of two experiments are analyzed. The purpose of the first experiment was to identify the dependence of the number of epochs required for the successful execution of an adversarial attack on the training set on the neural network version of the ResNet architecture using the example of ResNet18 and ResNet50. The purpose of the second experiment was to get an answer to the question: how successful are attacks on one neural network using modified images of the second neural network. An analysis of the experimental results showed that ResNet50 is more resistant to competitive attacks, but further improvement is still necessary.

Keywords: artificial intelligence, computer vision, Reset, ResNet18, ResNet50, adversarial attacks, learning set, learning set security, neural networks, comparative 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 is a continuation of the research on increasing the durability of heavy concrete and extending the life cycle of structures. The objective of the study is to determine the effect of the action of microsilicon and trepel additives introduced into the concrete mixture on increasing the strength characteristics of concrete. A control composition of a given concrete class in terms of strength B60, class F400 frost resistance and W20 water resistance, with the addition of superplasticizer ST 5.0, was selected. A comparative analysis of various concrete compositions was carried out in order to increase their strength characteristics and density. As a result of experiments, it was found that the introduction of 5% silica or trepel, as well as their combinations, helps to achieve a given strength class of B60 and increase the density of concrete. The use of superplasticizer ST 5.0 ensures the necessary mobility of the mixture without increasing the water-cement ratio, which improves the durability and performance of the materials. The results obtained allow us to recommend additives for the production of high-strength concrete with improved technical performance.

Keywords: silica, concrete strength, trepel, concrete mix, superplasticizer, water-cement ratio, heavy concrete, active mineral additives, concrete, MCU-85

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

In this paper, an analysis of the calculation results is carried out, which makes it possible to assess the real impact of impact and explosive effects from UAVs on the strength of reinforced concrete structures. Load limits are set, depending on the four most common types of walls. The previously published classification made it possible to identify the main parameters necessary for a detailed load calculation.

Keywords: extreme loads, explosion, self-supporting walls, reinforced walls, non-reinforced walls, load-bearing walls, UAVs, strength testing, building structures, shock waves

The article proposes a concept of spatially-oriented risk management in territorial systems, taking into account the relationship between threats, development goals and measures of influence. The model is based on the geographical distribution of factors and assumes scenario analysis of spatial changes. Particular attention is paid to integration with regional geoportals as means of visualization, data aggregation and decision support. The role of risks not only as constraints, but also as sources of transformation is emphasized. The presented approach is aimed at increasing the adaptability of management, coordinating spatial interests and developing an analytical infrastructure capable of supporting strategic planning in the context of natural and socio-economic instability.

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

The paper considers the solution of an urgent scientific and technical problem of developing a tilt angle sensor designed for automated position measurement of optical and optoelectronic systems. The principle of operation of the tilt angle sensor or inclinometer is to measure the direction of acceleration of gravity in the coordinate system associated with the target object, which allows calculating the angles of deviation of the vertical axis of the object from the ideal position. Capacitive sensors measure the angle of inclination by monitoring changes in capacitance due to external influences and often have a fairly simple design. In this paper, we consider a sensor design that uses a metal ball moving in a dielectric tube with electrodes attached to it. To investigate the possibilities of optimizing the device, a mock-up was developed on which the change in capacitance was analyzed depending on the size of the ball, the diameter of the tube and the shape of the electrodes. An important goal of this study was to determine the optimal diameter of the ball inside the dielectric tube to obtain the most noticeable changes in capacitance. The best results were obtained using a metal ball with a diameter slightly smaller than that of a dielectric tube. To measure the capacitance the "capacity–frequency" conversion can be used, followed by measuring the latter using a microcontroller. The resulting capacitance values are very small, which leads to a significant impact of any connecting wires and requires reducing the distance between the primary converter and the signal processing circuit, which can be achieved using micromechanics and microelectromechanics technologies and integrating the entire sensor design into one miniature housing. At the same time, with a decrease in the size of the elements of the primary converter, the value of the detected capacitance will obviously decrease, which will significantly complicate its conversion into an electrical signal.

Keywords: tilt angle, electronic sensor, inclinometer, position control, capacity change, primary converter, auto generator, miniaturization

The article explores the actor model as implemented in the Elixir programming language, which builds upon the principles of the Erlang language. The actor model is an approach to parallel programming where independent entities, called actors, communicate with each other through asynchronous messages. The article details the main concepts of Elixir, such as comparison with a sample, data immutability, types and collections, and mechanisms for working with the actors. Special attention is paid to the practical aspects of creating and managing actors, their interaction and maintenance. This article will be valuable for researchers and developers interested in parallel programming and functional programming languages.

Keywords: actor model, elixir, parallel programming, pattern matching, data immutability, processes, messages, mailbox, state, recursion, asynchrony, distributed systems, functional programming, fault tolerance, scalability

The analysis of the environmental impact of the largest enterprises located in the Southern and Northern industrial zones of the linear city of Volgograd has been carried out, and the need to change approaches to designing a comfortable urban environment, which currently take into account the average data for characterizing the ecological state of a particular territory, has been shown. The analysis confirmed the need to take into account the local impact of industrial enterprises on the components of the urban environment when justifying the selection and planning of appropriate modern spaces within the framework of the Federal Project "Creating a comfortable Urban environment".

Keywords: urban environment, comfort, urban environment quality index, modern spaces, environmental analysis, environmental friendliness, environmental safety

The article contains the results of the inspection of power transmission line structures within the framework of the preparation of design documentation for the reconstruction of cable racks and power transmission line supports due to the increase in the diameter of cables and, as a consequence, the increase in the load on the racks located in the Chaunsky District of the Chukotka Autonomous Okrug. The article presents a geodetic survey of load-bearing structures (determination of deflections and displacements of structures), lists of defects and damages, verification calculations of structures, and measures to strengthen structures.

Keywords: bearing capacity, inspection of structures, overhead power lines, wooden structures, supports, overpasses

The article presents the existing methods of reducing the dimensionality of data for teaching machine models of natural language. The concepts of text vectorization and word-form embedding are introduced. The task of text classification is being formed. The stages of classifier training are being formed. A classifying neural network is being designed. A series of experiments is being conducted to determine the effect of reducing the dimension of word-form embeddings on the quality of text classification. The results of evaluating the work of trained classifiers are compared.

Keywords: natural language processing, vectorization, word-form embedding, text classification, data dimensionality reduction, classifier