This article discusses the technology of multiple GPU usage and how it can be used in container environments to run applications that require a graphics computing accelerator.

Keywords: GPUs, Kubernetes, containerization, graphics accelerator, technology, server, machine learning

Modern web applications are becoming more complex and feature-rich, which creates the need for effective tools for dependency management, optimization, and project assembly. Buider allow you to optimize your code, which directly affects the download and execution speed of applications. The purpose of the work is to conduct a comparative analysis of JavaScript builders: Webpack, Parcel, and Rollup in order to identify their advantages and disadvantages from the point of view of frontend development ergonomics. This includes evaluating the convenience of configuration, resource efficiency, build speed, and other factors that affect developer productivity and the final quality of web applications. Practical testing of the builders was carried out using the example of a standard web project. The ergonomics of working with tools is evaluated: criteria are identified and a comparison is made based on the data obtained. Recommendations have been developed for choosing the optimal tool for various types of projects in front-end development. The research results can be used as a basis for training new specialists, as well as for improving existing practices in developing web applications when making informed decisions on the choice of technologies for long-term projects.

Keywords: web development, development efficiency, ergonomics, frontend development, testing, builder

This paper explores the content-based filtering approach in modern recommender systems, focusing on its key principles, implementation methods, and evaluation metrics. The study highlights the advantages of content-based systems in scenarios that require deep object analysis and user preference modeling, especially when there is a lack of data for collaborative filtering.

Keywords: сontent - oriented filtering, recommendation systems, feature extraction, similarity metrics, personalization

The development of an analog interface module for a satellite multiplexer is presented, with the ability to be embedded in the group signal structure at speeds below 16 kbps and providing interaction with a wide range of subscriber telephone equipment via FXS, FXO, and E&M interfaces. The developed module was tested as part of a satellite communication system on a dedicated satellite resource.

Keywords: "analog interface, speech transmission, multiplexer, channel-forming equipment, satellite communication system, analog interface module, group signal, FXS, FXO, E&M"

The paper is devoted to the problems of MicroGrid technology development, consisting in the construction of a distributed energy supply system based on autonomous energy generation sources. The objective of the paper is to construct models and procedures for decision support in multi-criteria selection of combined autonomous energy generation projects from a large number of possible alternatives. To achieve the objective, a morphological analysis of the subject area was carried out (using the method of systematic field coverage by F. Zwicky), as a result of which a space of alternatives of combined energy sources was constructed. A group ordering of criteria was carried out based on their expert assessment. Sequential application of the modified analytical network method using ordered groups of criteria made it possible to limit the number of criteria taken into account at each stage (by the number of criteria in a group) and consistently reduce the number of alternatives (considering only a few of the best alternatives of the previous stage). The proposed multi-stage procedure makes it possible to reduce (at each stage) the dimension of the supermatrix of the analytical network method and, thereby, reduce the time complexity of the procedure compared to the direct application of this method. The use of the proposed procedure makes it possible to consider a larger number of alternatives taking into account a larger number of criteria (compared to traditional methods of decision support), and, therefore, allows for an increase in the level of scientific validity of technical and economic decisions when designing MicroGrid systems

Keywords: MicroGrid, autonomous power system, decision support, analytical network method

The paper considers the solution of the problem of synthesis of a multiconnected nonlinear system with polynomial and piecewise linear approximations. The generalized Galerkin method is used as a mathematical apparatus. The synthesis results and advantages of each of the approximations are presented.

Keywords: multivariable automatic control systems, parametric synthesis, nonlinear automatic control systems, generalized Galerkin method, polynomial approximation, piecewise-linear approximation, saturation, minimization, objective function, recurrent relations

This article presents a comprehensive analysis of Russian-language texts utilizing neural network models based on the Bidirectional Encoder Representations from Transformers (BERT) architecture. The study employs specialized models for the Russian language: RuBERT-tiny, RuBERT-tiny2, and RuBERT-base-cased. The proposed methodology encompasses morphological, syntactic, and semantic levels of analysis, integrating lemmatization, part-of-speech tagging, morphological feature identification, syntactic dependency parsing, semantic role labeling, and relation extraction. The application of BERT-family models achieves accuracy rates exceeding 98% for lemmatization, 97% for part-of-speech tagging and morphological feature identification, 96% for syntactic parsing, and 94% for semantic analysis. The method is suitable for tasks requiring deep text comprehension and can be optimized for processing large corpora.

Keywords: BERT, Russian-language texts, morphological analysis, syntactic analysis, semantic analysis, lemmatization, RuBERT, natural language processing, NLP

Introduction: Mobile Gaming Addiction (MGA) has emerged as a significant public health concern, with the World Health Organization recognizing it as a gaming disorder. Russia, with its growing mobile gaming market, is no exception. Aims and Objectives: This study aims to explore the feasibility of using neural networks for early MGA detection and intervention, with a focus on the Russian context. The primary objective is to develop and evaluate a neural network-based model for identifying behavioral patterns associated with MGA. Methods: A proof of concept study was conducted, employing a simplified neural network architecture and a dataset of 101 observations. The model's performance was evaluated using standard metrics, including accuracy, precision, recall, F1-score, and AUC-ROC score. Results: The study demonstrated the potential of neural networks in detecting MGA, achieving an F1-score of 0.75. However, the relatively low AUC-ROC score (0.58) highlights the need for addressing dataset limitations. Conclusion: This study contributes to the growing body of literature on MGA, emphasizing the importance of considering regional nuances and addressing dataset limitations. The findings suggest promising avenues for future research, including dataset expansion, advanced neural architectures, and region-specific mobile applications.

Keywords: neural networks, neural network architectures, autoencoder, digital addiction, gaming addiction, digital technologies, machine learning, artificial intelligence, mobile game addiction, gaming disorder

The article presents a study of various approaches to implementing micro-frontend architecture in high-load web applications. It describes a comparative analysis of four main micro-frontend integration patterns: Module Federation, Single-SPA, Web Components, and iframe approach. An experimental performance study of each pattern was conducted, measuring key loading and interaction metrics

Keywords: micro-frontends, web architecture, Module Federation, Single-SPA, high-load systems, web application performance

The aim of this study was to detect synchronization between blood pressure variability (BPV) and the respiratory rhythm in healthy rats and rats with experimentally induced colitis during noxious (pain) stimulation. To this end, we used synchronization metrics based on instantaneous frequencies and phases estimated via the synchrosqueezed wavelet transform. We found that noxious stimulation promotes the emergence of synchronization between BPV and respiration. The adjustment of the BPV frequency to the respiratory frequency, followed by phase locking, indicates that the respiratory rhythm controls BPV prior to the onset of synchronization. The pathological condition associated with experimental colitis correlates with a reduction in the duration of phase synchronization.

Keywords: arterial blood pressure; respiratory activity; wavelet decomposition

The article focuses on the application of machine learning methods for predicting failures in industrial equipment. A review of modern approaches such as Random Forest, SVM, and XGBoost is presented, with emphasis on their accuracy, robustness, and suitability for engineering tasks. Based on the analysis of real-world data (temperature, pressure, vibration, humidity), models were trained and compared, with XGBoost demonstrating the best performance. Key parameters influencing failures were identified, and a recommendation system was proposed, combining statistical analysis and predictive modeling. The developed solution enables timely detection of failure risks and optimization of maintenance processes.

Keywords: machine learning, predictive modeling, equipment management, failure prediction, data analysis

For neural network algorithms to work successfully when processing 3D point clouds, it is necessary to provide a detailed point cloud of the external environment. A similar task arises when a manipulative robot is operating in a new environment, where before processing a cloud of scene points, it is necessary to obtain a detailed representation of the external environment using an RGB-D camera mounted on the end link of the robot. To solve this problem, this study proposes an algorithm for adaptive control of a manipulative robot to build a model of the external environment. By applying an adaptive approach, during the research of the external environment, the manipulative robot moves the RGB-D camera, taking into account the changes in the current environment model introduced by the previous RGB-D image. The results obtained allow us to judge the effectiveness of the proposed approach, showing that due to adaptability, it allows us to achieve high scene coverage rates.

Keywords: environment model, manipulative robot, adaptive control algorithm, surface reconstruction, RGB-D camera, visual information processing, TSDF volume

This paper examines methods for modeling the spread of infectious diseases. It discusses the features of the generalized compartmental approach to epidemic modeling, which divides the population into non-overlapping groups of individuals. The forecast of models built using this approach involves estimating the size of these groups over time. The paper proposes a method for estimating model parameters based on statistical data. It also introduces a method for estimating confidence intervals for the model forecast, based on a series of stochastic model runs. A computational experiment demonstrates the effectiveness of the proposed methods using data on the spread of influenza in European countries. The results show the model's efficiency in predicting the dynamics of the epidemic and estimating confidence intervals for the forecast. The paper also justifies the applicability of the described methods to modeling chronic diseases.

Keywords: epidemic modeling, computer modeling, compartmental models, SIR, stochastic modeling, parameter estimation, confidence interval, forecast, influenza

The paper presents a simulation of flight control of an unmanned aerial vehicle (UAV). A distributed control system is proposed that sequentially includes internal and external circuits to control the state of motion of the aircraft. The control efficiency of a cascade PD controller (proportional-differential) is higher than that of a traditional PID controller (proportional-integral-differentiating). A new cascade control algorithm with a PD controller is proposed. First, the dynamics of the UAV is modeled based on the Newton-Euler method, then the state of motion of the device is controlled by a distributed control system based on cascaded levels of proportional derivatives of the internal and external contours. The simulation results show that the controller, developed on the basis of proportional-derivative control speed of internal and external circuits, is able to achieve fast tracking of the position and orientation of the UAV in case of external disturbances and has good control quality. The developed algorithm has increased the control efficiency by 5-7% compared to the traditional PID algorithm.

Keywords: Unmanned Aerial Vehicle, PID controller, Cascade PD controller, Algorithm Optimization, UAV Control Algorithm

The article discusses the process of developing and modeling an impeller for an unmanned aircraft of the airplane type. Aerodynamic and strength calculations were carried out, key design parameters were determined, including the number of blades, engine power and choice of material. The developed models were created in the CAD system Compass 3D and manufactured by 3D printing using PETG plastic. Impeller thrust tests were carried out depending on engine speed, which allowed the design to be optimized for maximum efficiency.

Keywords: impeller, unmanned aircraft, aerodynamics, 3D modeling, 3D compass, additive technologies, thrust, testing, APM FEM

This article examines the issue of increasing the performance and scalability of transactional systems using the example of a sharded blockchain architecture. Particular attention is paid to the use of a search query—based approach, a model in which the user's transactional intentions are processed asynchronously and aggregatively. This allows you to significantly reduce the load on the network and achieve high throughput without compromising the user experience. The proposed architecture is based on fully controlled smart accounts, embedded wallets, and third-party processing of user search queries through a specialized module. As a result, scalability is achieved that meets the requirements of high-frequency trading and automated decentralized applications. Key performance metrics and application scenarios outside the financial sector are presented.

Keywords: blockchain, distributed ledger, transactional systems, distributed systems

Assessing the technical condition of equipment is an important task for ensuring operational strategy and planning maintenance work at an enterprise. One approach to evaluating equipment condition is the use of a well-known indicator called the 'technical condition index,' the calculation methodology for which has been approved by the Ministry of Energy of the Russian Federation. This methodology also proposes a scale for assessing the level of equipment technical condition. However, the question of the threshold or critical value of this indicator, which can determine the equipment's unsuitability for further operation, remains unresolved. This paper proposes a methodology for determining the threshold value of a modified technical condition index based on the allowable probability of failure-free operation of equipment using statistical methods. The novelty of the work lies in the proposed methodology for determining the threshold value of a modified technical condition index, developed by the author, which uses objective data for evaluation, unlike the subjective assessments of experts in existing methodologies. The proposed method was tested on a set of statistical data on the degradation of turbofan engines from NASA.

Keywords: technical condition index, modified technical condition index, threshold value, probability of equipment failure-free operation, complex technical object

The article proposes a scheme for the interaction of nodes in a secure data transmission network based on broadband wireless access equipment (BWAE). The variants of design and technological implementation of the BWAE are described, that is BWAE 7 equipment (with a seven-element antenna array) and BWAE 1 equipment (with one antenna device). For each option the composition of functionally complete devices and nodes is presented, the technical characteristics of the equipment are indicated. The functional description of components of the BWAE 7 and BWAE 1 equipment is provided.

Keywords: telecommunication equipment, information and monitoring network, wireless broadband access, data transmission, secure network

he article examines the configuration options for onboard communication equipment. Modeling and evaluation of antenna placement options onboard the unmanned aerial vehicle of helicopter type (UAV HT) are carried out taking into account the influence of design elements and payload on the antenna pattern, summary results of modeling the radiation patterns and analysis of losses due to the influence of design elements of the UAV HT with different antenna placements are presented. The loss budget is calculated for different combinations of ground and onboard equipment taking into account different ranges with a maximum altitude difference. Options for implementing a repeater based on the UAV HT are proposed.

Keywords: control system, unmanned repeater, onboard communication equipment, control channel, receiving and transmitting path

The combination of systems analysis and long-term planning is a crucial factor for ensuring sustainable development and enhancing the competitiveness of enterprises. In this context, the use of the Event Tree Analysis method plays a key role in assessing the achievement of strategic goals, tasks, and identifying potential risks. This study focuses on the development and application of an event tree to analyze various aspects of system operations, including goal setting, strategy development, and task execution. The application of the ETA method not only allows for modeling possible event scenarios but also enables the development of risk mitigation measures, contributing to long-term sustainability and successful system functioning.

Keywords: event tree, system analysis, strategic planning, risk management, threat minimization, sustainable development, enterprise competitiveness, quantitative analysis, qualitative analysis, dependent events, conditional probabilities, protective mechanisms

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

One of the key parameters used to assess the magnitude of the individual fire risk based on the appropriate calculation methodology is the evacuation start time. To calculate it, there is a need for information about the time of reaching the threshold value of the fire detector, which can be determined on the basis of a fire simulation for the room in which the fire is located. At the same time, it is required to dynamically evaluate the size of the area at each point of which at the height of the location of fire detectors there is an excess of the threshold value of the acting parameter, which is a rather complex task, the solution of which requires the use of automation. This paper proposes a method for automated assessment of the time for reaching the threshold value of the fire detector response based on the results of fire modeling when determining the calculated values of the individual fire risk. Functional model and basic algorithm of the proposed technology are presented. The developed methodology was tested using the example of modeling a fire in a commercial building based on the FDS software kernel for various scenarios. The results of a comparative analysis of solving the problems of estimating the time for reaching the threshold value of fire detectors for various criteria based on the proposed technology and manual method are presented.

Keywords: individual fire risk, fire dynamics simulation, field fire model, automation, algorithm, FDS

The article is devoted to the formalization of quality assessment criteria in the framework of the development of an automated quality management system at the stage of design preparation for the production of machine-building products. The main focus of the research is in the development of the terms of reference (TK). The author suggests formal criteria for assessing the quality of TK, aimed at forming comprehensive requirements for the design of the product and the organization of work. The methodology is based on a systematic analysis of domestic and foreign literature, as well as regulatory documents, and the formation of a graduated quantitative scale for each assessment criterion based on them. The key evaluation criteria are highlighted, each of which is assigned characteristics and scoring systems for quantitative analysis and the possibility of subsequent use when creating an automated quality management system at the checkpoint stage. The work contributes to improving the quality and competitiveness of products through a systematic assessment of the initial stage of development and the formation of the correct requirements for innovative products. The research results are focused both on research in scientific peer-reviewed journals of the Russian Federation, and with attention to international experience, which allows combining existing experience in the subject area.

Keywords: design preparation of production, quality assessment, formal criteria, terms of reference

This article explores the migration of the Chuvash Encyclopedia's website from the outdated ASP.NET platform to the modern Laravel framework. It provides a brief history of the regional online scientific reference resource, the reasons for updating its technical base, including security issues, incompatibility with modern browsers, and a lack of technical support. It also analyzes the key stages of its transition to the new Laravel platform. These include a thorough audit of the old encyclopedia website, including URL mapping, the design of a new database architecture on the modern MySQL 8.0 platform, which has been significantly optimized compared to the outdated version, as well as database migration from MSSQL to MySQL 8.0 and database processing using console commands. An example of a developed console command for automatically replacing URLs is provided. The result of this work was the launch of an updated website for the Chuvash Encyclopedia online at http://chuvenc.ru, which meets modern security and performance standards. New solutions were developed to migrate the outdated, yet socially significant, web resource to a modern platform with minimal data and functionality loss.

Keywords: Electronic Chuvash Encyclopedia, website, ASP.NET platform, Laravel framework, database, MySQL, data migration, data processing automation, console commands

The article explores modern approaches to the integration of image processing algorithms and sensor equipment onboard unmanned aerial vehicles (UAVs) for monitoring and mitigation of emergencies affecting railway infrastructure. The research focuses on methods for efficient interaction with high-resolution optical cameras, LiDAR systems, and GPS modules, as well as on the use of distributed and cloud computing technologies for rapid data processing. Special attention is given to adaptive data compression techniques, caching strategies, and asynchronous message queues, which ensure reliable transmission under limited or unstable communication channels.
The work demonstrates practical integration scenarios using the DJI Mini 4 Pro UAV and the WebODM photogrammetric platform, showing a reduction of preliminary processing time from 45 to 6 minutes and an improvement in georeferencing accuracy from 7.8 m to 1.3 m through the use of GPS-EXIF metadata. Point cloud optimization methods, such as Voxel Grid filtering and Statistical Outlier Removal, are shown to decrease file size from 1.2 GB to 210 MB and reduce processing time from 52 to 17 minutes with minimal loss of accuracy.
The study highlights that combining onboard sensors with advanced processing pipelines significantly improves the timeliness, reliability, and accuracy of railway infrastructure assessments after emergencies. The proposed solutions enable automation of geospatial data workflows, enhance operational decision-making, and optimize resource allocation for recovery operations. The findings are relevant for the development of UAV-based monitoring systems in transportation, urban planning, and critical infrastructure protection.

Keywords: UAV, data transfer, distributed computing, LiDAR, WebODM, DJI Mini 4 Pro, infrastructure monitoring, adaptive compression, message queue