This article examines the growing threat of web scraping (parsing) as a form of automated cyberattack, particularly aimed. Although scraping publicly available data is often legal, its misuse can lead to serious consequences, including server overload, data breaches and intellectual property infringement. Recent court cases against OpenAI and ChatGPT highlight the legal uncertainty associated with unauthorized data collection. The study presents a dual approach to combat malicious scraping. Traffic Classification Model - a machine learning based solution using Random Forest algorithms results in performance that achieves 89% accuracy in distinguishing between legitimate and malicious bot traffic, enabling early detection of scraping attempts. Data Deception Technique - the countermeasure dynamically modifies HTML content to convey false information to scrapers while maintaining the original look of the page. This technique prevents data collection without affecting the user experience. Performance results include real-time traffic monitoring, dynamic page obfuscation, and automatic response systems. The proposed system demonstrates effectiveness in mitigating the risks associated with scraping and emphasizes the need for adaptive cybersecurity measures in evolving digital technologies.

Keywords: parsing, automated attacks, data protection, bot detection, traffic classification, machine learning, attack analysis, data spoofing, web security

The paper analyzes the influence of damage to the protective layer of concrete of the zone of maximum bending moments of single-span beams on the load-bearing capacity of the structure and the possibility of restoring the initial load-bearing capacity. The study is based on laboratory research and numerical experiment, as well as on the analysis of earlier tests and accumulated experience in the restoration of structures. As a result, conclusions are drawn about the effect of concrete protective layer failure on the load-bearing capacity of bending structures, and recommendations are given for further research into the calculation and design of these systems.

Keywords: damage of concrete protective layer, corrosion of reinforcement, restoration, reinforcement

Annotation:The article describes the method of architectural design of the ethnographic center, taking into account the historical background of the design of the dwelling of Kabardians (Adygs) and modern construction requirements. The pre-project study is based on the analysis of materials from early studies of the Kabardian dwelling, on the basis of which a round closed shape is proposed, which is present not only in descriptions of the architecture of the dwelling, but also in the dance ""Uj"". The rhythm of this dance can be used in the image of a building as a way to enhance architectural and artistic expression. This method takes into account the preservation and popularization of the cultural heritage of the Kabardino-Balkarian Republic in order to further increase the tourist attractiveness of the region.

Keywords: Keywords: Adyghe, Kabardian and Circassian dwelling, tourist cluster, national architecture, ethnocultural tourism, Kabardian dance "Uj"

The article describes the experience in the field of practice-oriented and career-oriented activities aimed at modernizing modern engineering education, taking into account an interdisciplinary approach. An example of training an engineer of a new formation based on school engineering classes is given. Attention is paid to project activities that can involve students in both creative and production projects. The issues of "career guidance filtering" necessary for selecting the necessary professional qualities of students through a cycle of mini introductory and training cases are highlighted. The emphasis is placed on the contact and information access of parents and schoolchildren to the university's research sector.

Keywords: management of engineering education, project activities, engineering classes, priority 2030, career guidance activities

In this paper, methods for estimating one's own position from a video image are considered. A robust two-stage algorithm for reconstructing the scene structure from its observed video images is proposed. In the proposed algorithm, at the feature extraction and matching stage, a random sample based on the neighborhood graph cuts is used to select the most probable matching feature pairs. At the nonlinear optimization stage, an improved optimization algorithm with an adaptive attenuation coefficient and dynamic adjustment of the trust region is used. Compared with the classical Levenberg-Marquard (LM) algorithm, global and local convergence can be better balanced. To simplify the system's decisions, the Schur complement method is used at the group tuning stage, which allows for a significant reduction in the amount of computation. The experiments confirmed the operability and effectiveness of the proposed algorithm.

Keywords: 3D reconstruction，graph-cut, Structure-from-Motion (SfM)，RANSAC，Bundle Adjustment optimization，Levenberg-Marquardt algorithm，Robust feature matching

This paper presents the design and experimental validation of an external load-balancing mechanism for server clusters that support a distributed educational network. A hybrid strategy is proposed that merges classical policies (Round Robin, Least Connections) with an evolutionary search based on a genetic algorithm. At the modeling level the user-session assignment problem is formulated as a minimization of the maximum node load under latency constraints. The solution is implemented entirely on a domestic technology stack— “1C:Enterprise” server clusters, Docker containers, and the “1C:Bus” integration middleware. Experimental results show that the new scheduling logic improves system resilience under traffic fluctuations, lowers user response times, and utilizes spare resources more efficiently, while imposing no substantial overhead on the control nodes. The study confirms the practical viability of evolutionary approaches for real-time load balancing.

Keywords: load balancing, server clusters, genetic algorithm, simulation modeling, 1C:Bus middleware

The paper considers a lightweight modified version of the YOLO-v5 neural network, which is used to recognize road scene objects in the task of controlling an unmanned vehicle. In the proposed model, the pooling layer is replaced by the ADown module in order to reduce the complexity of the model. The C2f module is added as a feature extraction module to improve accuracy by combining features. Experiments using snowy road scenes are presented and the effectiveness of the proposed model for object recognition is demonstrated.

Keywords: road scene object recognition, YOLOv5, Adown, C2f, deep learning, pooling layer, neural network, lightweight network, dataset

The purpose of the article is to study the possibility of the influence of various factors affecting the process of eliminating a water pipeline accident based on its modeling using fuzzy logic methods. The article discusses various options for managing the process of eliminating a water pipeline accident and, during the analysis, determines a set of qualitative parameters that are used in the fuzzy inference model based on the Mamdani method. To build a mathematical model, 37 products were formulated with the help of a group of experts, so that the model can work with selected qualitative variables as with quantitative ones and track the changes that occur in the process. The result of the inference cycle is a clear value of the parameters describing the possible actions necessary to eliminate the accident. The resulting mathematical model allows you to analyze the input parameters at a qualitative level, gives a qualitative representation of the result at the output, which will increase the effectiveness of actions aimed at eliminating a water pipeline accident. The quality of functioning of the described model is verified by a group of experts.

Keywords: fuzzification, defazziification, Mamdani method, system analysis, fuzzy logic, qualitative parameters, water pipe accident, mathematical model

The characteristics of a submersible induction motor are described with sufficient reliability for practice by the theory of multi-motor electric drive. In this case, the classical circuit of a submersible induction motor is a coupled system of several equivalent-T circuits. In turn, this significantly increases its computational complexity and reduces the speed of ACS. It is proposed to construct a mathematical model of the submersible electric motor in the form of polynomials with significantly higher speed using the methods of experiment planning. In the area of applicability, the differences in the estimation of energy performance do not exceed 1.1%, between the proposed models and classical equivalent-T circuits.

Keywords: automated control system, mathematical model, polynomial, mean absolute percentage error, computational complexity, design of experiment, scatter diagram, modal interval, submersible electrical motor, rotor package

The article is devoted to the study of the possibilities of automatic transcription and analysis of audio recordings of telephone conversations of sales department employees with clients. The relevance of the study is associated with the growth of the volume of voice data and the need for their rapid processing in organizations whose activities are closely related to the sale of their products or services to clients. Automatic processing of audio recordings will allow checking the quality of work of call center employees, identifying violations in the scripts of conversations with clients. The proposed software solution is based on the use of the Whisper model for speech recognition, the pyannote.audio library for speaker diarization, and the RapidFuzz library for organizing fuzzy search when analyzing strings. In the course of an experimental study conducted on the basis of the developed software solution, it was confirmed that the use of modern language models and algorithms allows achieving a high degree of automation of audio recordings processing and can be used as a preliminary control tool without the participation of a specialist. The results confirm the practical applicability of the approach used by the authors for solving quality control problems in sales departments or call centers.

Keywords: call center, audio file, speech recognition, transcription, speaker diarization, replica classification, audio recording processing, Whisper, pyannote.audio, RapidFuzz

This work presents the concept of an automated system for urban planning decisions to support balanced integrated residential development. The system aims to ensure developer profitability while maximizing socio-economic benefits for the city and its residents. The study focuses on analyzing stakeholder interactions, creating a multi-criteria optimization model to balance interests, and formalizing land selection processes. Methods include domain-driven design (DDD), hierarchy analysis for investment assessment, and multi-criteria optimization for financial modeling. The outcome is a conceptual taxonomic model, a quantitative land assessment method, and a financial model forming the basis for strategic urban development decisions.

Keywords: аutomated decision-making system, conceptual taxonomic model, mathematical model, economic model, weighting coefficients, integrated residential development, profitability, descriptive logic, domain driven design, investment attractiveness models

The article presents a mathematical model that formalizes the process of managing the scientific activities of an organization. The model based on the theory of queuing. The principle of death - reproduction used in the construction. For a special case, a graph of states and a system of Kolmogorov differential equations are given. The intensity of the input and output streams are time-dependent non-stationary streams. The model allows us to consider various structures and schemes of interaction between scientific departments and various sce-narios for setting scientific tasks and the intensity of their solution by employees of the organization. A software package for decision-making has developed for the model for optimal management of the scientific activities of the department. The article presents one of the results of an experimental and model study of the influence of the motivational component and the level of competence of employees. Graphs of the system states given for the resulting solution. The research can used for comprehensive evaluation of results, planning, resource allocation and management of scientific activities.

Keywords: diversification of management, production diversification, financial and economic purposes of a diversification, technological purposes of ensuring flexibility of production

The article presents the development of an automated cyber-physical chocolate customization system based on laser engraving with an integrated machine vision module for quality control. An experimental stand is described, which includes a Co₂ laser with a power of up to 30 W, a precision XYZ positioning system, a conveyor feed and an optical unit with an RGB camera and ring illumination. A laser control software has been developed that implements trajectory generation, focus auto-calibration, and power/speed control, as well as a hybrid visual control algorithm based on convolutional neural networks. Integration is carried out via Modbus/TCP and REST API: real-time inspection results are returned to the PLC for adaptive adjustment of engraving parameters or automatic rejection of defective products. During the DoE experiments, the model showed a decrease in rejection from 8.3% to 1.7% and an increase in throughput from 25 to 36 units/min. Economic and technical analysis confirm.

Keywords: automation, laser engraving, chocolate products, machine vision, quality control, customization

The article presents the results of a study on the effectiveness of the hashing algorithms Argon2, Scrypt, and Bcrypt in the context of developing web applications with user registration and authentication features. The main focus of this research is on analyzing the algorithms' resilience to brute-force attacks, hardware attacks (GPU/ASIC), as well as evaluating their computational performance. The results of the experiments demonstrate the advantages of Scrypt in terms of balancing execution time and security. Recommendations for selecting algorithms based on security and performance requirements are also provided.

Keywords: hashing algorithm, user registration interface, user authentication interface, privacy protection

The article addresses the issues of integration and processing heterogeneous data within a single company as well as during interaction between various participants of business processes under conditions of digital transformation. Special attention is given to collaboration between equipment manufacturers and industrial enterprises, emphasizing the importance of aligning and transforming data when interacting with heterogeneous information systems. The problem of integrating historical data, challenges arising from transitioning to new infrastructure, and a solution based on principles similar to those used by open standards such as OpenCL are discussed. Particular emphasis is placed on providing complete and consistent datasets, developing effective mechanisms for semantic integration, and using ontological approaches to address difficulties in comparing and interpreting diverse data formats. It highlights the necessity of continuously updating metadata dictionaries and establishing connections between different data sources to ensure high-quality and reliable integration. The proposed methods aim at creating sustainable mechanisms for exchanging information among multiple business entities for making informed management decisions.

Keywords: digital transformation, heterogeneous systems, erp/mes systems, ontology, semantic integration, metadata, data mapping

The article discusses the structure and principle of operation of an improved centrifugal unit for mixing bulk materials. A special feature of which is the ability to control mixing modes. Due to its design, the selection of a rational position of the bump makes it possible to provide such conditions for the impact interaction of particle flows, in which a high-quality homogeneous mixture of components is formed, the particles of which have different sizes, shapes and other parameters. To characterize the resulting mixture, the coefficient of heterogeneity was used, the conclusion of which is based on a probabilistic approach. A computational scheme of the rarefied flow formation process is given. An expression is derived for calculating the coefficient of heterogeneity when mixing bulk media, the particles of which have different sizes, shapes and other parameters. The research conducted in the article allows not only to predict the quality of the resulting mixture, but also to identify the factors that have the greatest impact on achieving the required uniformity.

Keywords: aggregate, bulk media, mixing, coefficient of heterogeneity, concentration, design scheme, particle size

The problem of substantiating the grid step of an electronic map used to establish the fact that a vehicle, whose coordinates are read from an on-board GPS sensor, enters the control area is considered. The proposed decision support system determines the maximum allowable step for marking a geographical area for subsequent information processing, in which the amount of resulting data is close to the minimum, taking into account the preservation of processing time and acceptable the level of error of the data for analytics. To solve the problem, it is proposed to use the regression analysis apparatus to determine the dependence of the expected verdict error on the grid step of the electronic map. The analysis of residual variances was used to prove the applicability of the proposed device. The Laplace formula was used to estimate the confidence interval of erroneous verdicts.

Keywords: grid step, confidence probability, percentage of erroneous verdicts, regression analysis, coefficient of determination

The paper presents a method for constructing a software system for processing technological data as part of automated process control systems (APCS). The proposed approach is based on a formal representation of the data processing structure in the form of a directed acyclic graph (DAG), where each node corresponds to a stage of information transformation implemented using pluggable software modules. The architecture enables modularity, scalability, and reusability of components in organizing data processing and routing. The applicability of the approach is analyzed with regard to the development of flexible and adaptive software solutions designed for operation under changing requirements for processing logic of technological signals.

Keywords: APCS, process data processing, directed acyclic graph, modular architecture, software modules, fault tolerance, scalability, dynamic configuration, infrastructure integration, processing formalization

This paper is devoted to the construction of a robust visual-inertial odometry system for an unmanned vehicle using binocular cameras and inertial sensors as information sources.The system is based on a modified structure of the VINS-FUSION system. Two types of feature points and matching methods are used to better balance the quantity and quality of tracking points. To filter out incorrect matches of key points, it is proposed to use several different methods. Semantic and geometric information are combined to quickly remove dynamic objects. Keypoints of static objects are used to complement the tracking points. A multi-layer optimization mechanism is proposed to fully utilize all point matchings and improve the accuracy of motion estimation. The experimental results demonstrate the effectiveness of the system.

Keywords: robust visual-inertial odometry, localization, road scene, multi-level optimization mechanism

This article presents a method for adapting the TPL-1 telescopic rangefinder for photometric observations of artificial Earth satellites (AES). By integrating a ZWO ASI294MM Pro camera and a ""Jupiter-21M"" lens onto the telescope’s mount while retaining its original tracking capabilities, the system achieves high-precision photometric measurements without requiring expensive astronomical equipment. The custom-designed mounting mechanism ensures stable alignment and minimizes vibrations, allowing for prolonged observation sessions with reliable data acquisition. The study demonstrates the system’s effectiveness through observations of several satellites, including ERS-2, ADEOS-II, and ALOS, each exhibiting distinct photometric signatures. The results reveal periodic brightness variations, rotational dynamics, and reflective properties of these objects, with measurement accuracy comparable to professional setups. The adapted setup proves particularly valuable for educational purposes, space debris monitoring, and satellite behavior analysis, offering a cost-effective alternative to specialized instruments. This work highlights the potential of repurposing military-grade optics for scientific applications, bridging the gap between amateur and professional astronomy. Future enhancements could focus on automation and advanced data processing techniques to further expand the system’s capabilities.

Keywords: photometry, artificial satellites, TPL-1 telescope, equipment adaptation, light curves, space monitoring

The article presents the results of comparing numerical modeling of wooden structures with laboratory and full-scale tests. In the course of the work, numerical models of the material were created in the Ansys Workbench software package from volumetric finite elements with a variant set of physico-mechanical parameters simulating the behavior of real wood. The simulation parameters were based on the laboratory testing results of a solid wood beam. The simulation results were compared with the full-scale test results of a composite wood slab. Modeling of constructions was carried out in the form of linear, bilinear and multilinear models.

Keywords: solid wood beam, composite wood slab, bilinear finite element model, multilinear finite element model, stress-strain state

The article is devoted to the study of the influence of the choice of the calculation scheme on the accuracy of the engineering assessment of the behavior of monolithic reinforced concrete frame structures. Various types of models are considered: rod, plate and volumetric, taking into account both linear and physical nonlinearity. It is emphasized that the adequacy of accounting for the spatial interaction of elements, the reliability of the assessment of forces and stresses, as well as the possibility of optimizing design solutions, especially under seismic and wind loads, depend on the correctness of the adopted calculation scheme. As part of the study, a single-span reinforced concrete frame was modeled, the load on which varied from 5 to 55 kN. A comparison of the calculated results with experimental data was carried out. It is shown that models that take into account physical nonlinearity and use more detailed modeling (for example, volumetric finite elements) provide the greatest accuracy in predicting deflections and stresses in the structure. The obtained results confirm the necessity of a careful approach to the choice of the calculation scheme in design, especially in the design of high-rise buildings and structures in seismically dangerous areas. Recommendations are made on the rational use of models of different levels of detail in engineering practice.

Keywords: linear calculation, nonlinear calculation, frames, reinforced concrete, deflections, modeling