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

The article formulates the task of developing a fire safety management procedure based on a risk-based approach, taking into account the preferences of the decision maker in the multi–criteria system "result - cost – time". A multi-criteria mathematical model of the procedure under consideration has been developed, as well as an algorithm for its implementation with the development of information technology and a test case.

Keywords: risk-based approach, fire risk, decision support systems, Pareto-optimal solutions

A stochastic model of the optimal functional extrapolator of a fractal L–Markov process with a quasi-rational spectrum is constructed. When developing the model, methods of spectral and fractal analysis of random processes, the theory of functions of a complex variable, methods for calculating stochastic integrals, and the theory of stochastic differential–difference equations connecting processes with a quasi-rational spectrum with processes with a rational spectrum were used.; as well as an original technique for constructing spectral characteristics of extrapolation, developed by the famous mathematician A. Yaglom. Using the Levinson–McKean theorem, it is established that the random processes studied in this paper are L–Markovian in nature. The fulfillment of the conditions of Mandelbrot's theorem on the shape of the spectral density of fractal random processes, as well as the values of the Hearst exponents and the fractality index, suggest that the random process under study is fractal and, moreover, persistent. It is proved that the optimal extrapolator constructed over the entire past of the process can be represented as the sum of a linear combination of the values of the process itself at three time points in the case of 0 < τ < 1 and at two time points in the case of 1 < τ < 2 and an integral with an exponentially decaying weight function extended to (– ∞; ∞). In the first case, the L – boundary of the L–Markov process under study consists of three points L = {t; t – 2; t + τ – 2}, and in the second case it consists of two points L = {t; t + τ – 2}, where τ is the lead time.

Keywords: extrapolation, L –Markov process, fractality, trend tolerance, spectral characteristic, optimal extrapolator

This paper describes a virtualized environment designed to conduct comprehensive experiments involving peer-to-peer networks and information security algorithms. The architecture is based on integrating the VMware hypervisor with the EVE-NG network device emulation platform, providing flexible resource allocation and realistic topology simulation. A MikroTik router serves as the central node, enabling a “star-shaped” scheme of interaction among virtual machines running various operating systems (Windows 7, 10, 11, Linux Debian). The chosen configuration simplifies testing the multiple initial connections and multi-level cryptography algorithms, ensures stable routing, and supports further automation of software installation using Bash or PowerShell scripts.

Keywords: information security, virtualized environment, multiple initial connections, peer-to-peer network, virtual private network

This article assesses the global warming potential of a single-family residential complex at lifecycle stages A1-A3 (extraction, transportation, and production) and A4-A5 (delivery to the construction site, construction process). A digital BIM model of a typical cottage was used to accurately determine the volumes of building materials. Calculations were conducted taking into account the regional characteristics of the Rostov Region, based on environmental product declarations and emission factors. The article emphasizes the need to transition to sustainable practices to minimize the carbon footprint of the construction industry. The study demonstrates the importance of integrating BIM models to predict and reduce environmental impacts in the early stages of design.

Keywords: global warming potential, life cycle, climate change, building materials, BIM modeling

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

A method has been developed for synthesizing antenna arrays with element failures using a convolutional artificial neural network with two encoders. A neural-network block architecture is proposed for computing the radiation pattern from the amplitude distribution of currents over the antenna-array aperture, enabling unsupervised training of the artificial neural network. The results obtained confirm the feasibility of the developed method.

Keywords: Antenna array synthesis, antenna element failures, radiation pattern, artificial neural network, unsupervised learning.

The article explores a model in which it is possible to predict the timing of obsolescence of a construction site. The purpose of the described techniques is to ensure stable operation and reliable operation of facilities. The presented methodological approaches make it possible to improve the accuracy of the assessment of degradation processes, covering both technical elements and structural parts of buildings and infrastructure systems. The article focuses on effective tools and methods used to survey the current state of real estate, as well as to anticipate changes in their performance over time. The paper considers the application of a generalized computational wear scheme that demonstrates changes in the organization and destruction of building elements throughout the service life. This scheme takes into account the continuous influence of external conditions on the structure of the structure. The universal formula proposed for the analysis serves as a research tool and displays the course of changes in the state of technical systems under the influence of prolonged loads.

Keywords: organizational and technological solutions, reliability, quality control, monitoring of compliance with standards, efficiency, production costs

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 article examines the key features of the functional planning and architectural spatial organization of the typological group of public buildings and structures in the renovation of industrial buildings in coastal areas in order to create promising models of two different types of multifunctional spaces: creative clusters and multifunctional complexes. Both approaches take advantage of the structural and spatial advantages of these buildings while simultaneously implementing modern architectural and environmental techniques. For both types of renovation, adaptive space reuse, integration of green elements, sustainable energy solutions, increased accessibility, and preservation of industrial heritage are common methods. The specific changes for creative clusters include the transformation of the main workshops into flexible exhibition and cultural spaces, the inclusion of artistic elements and the creation of public areas. Conversely, multifunctional complexes turn these spaces into office areas, coworking areas, commercial premises and residential apartments. Overall, these renovation models not only revitalize the physical environment, but also contribute to the cultural, social and economic development of coastal urban areas, creating an incentive for future urban renewal projects.

Keywords: architectural and ecological renovation, industrial buildings, sustainable development, creative clusters, multifunctional complexes

The article presents the results of static and dynamic calculations of a 14-storey administrative building with two underground floors. The building is located in the city of Sochi. The seismicity of the construction area is 9 points. As a result of calculations under seismic influence, characteristic isofields of movements of the building system in different directions, stress isofields in load-bearing monolithic reinforced concrete floors, and force plots in core elements were obtained. According to the results of the verification calculations of the load-bearing reinforced concrete structures of the building frame, it was revealed that the strength of the individual columns of the underground floors of the building is not ensured. Options for reinforcing columns using various options are presented: classic reinforced concrete cage, metal cage, pasting with composite tapes, steel-reinforced concrete cage. As a result of comparing all reinforcement options, the most optimal reinforcement option was adopted from the point of view of technology, economic feasibility and strength parameters.

Keywords: steel-fiber concrete, seismic, strength, reinforcement, dynamic calculation, cage, column, building, composite, comparison

A non-stationary system of automatic speed control of a DC motor with an adaptive controller is considered. Comparative simulation modeling in Simulink of the system with and without an adapter is performed. The results of the modeling confirm the stability of the adaptive system in a larger range of change of the non-stationary parameter compared to the conventional system. At the same time, the speed and quality of transient processes are maintained at the level recommended for such systems.

Keywords: automatic control system, non-stationarity, adaptive controller, subordinate control system, electromechanical object, DC motor

The method of synthesis of control of a territorially distributed complex technical system with metrological support is presented. The synthesis method is based on the method for identifying the parameters of a stationary semi-Markov model of operation of a complex technical system, developed by the author, based on solving a system of algebraic equations, which includes the linear invariants of the semi-Markov stationary model identified in the article. The results of modeling changes in the parameters of a complex technical system are presented, taking into account the current state of the fleet of complex technical systems with an optimal choice of the interval between checks, rational use of redundancy and stationary maintenance. The obtained results can find application in the decision support system for managing a fleet of complex technical systems. by choosing the optimal interval between checks, using redundancy and carrying out stationary maintenance.

Keywords: park of complex technical systems, control synthesis method, system invariants

The impact of various types of loads on the integrity of the insulating shell is being evaluated and proposals are being developed to improve the operational resistance of light mineral wool slabs in the pitched roof structure. The result of the research was the development of mineral wool products with an alkali-resistant glass mesh reinforced outer layer. The operational resistance of the insulating shell increases by 1.7 times compared to light slabs based on stone wool and by 2.4 times compared to slabs made of glass wool.

Keywords: mineral wool plate, thermal insulation material, stone wool, glass wool, erosion of the product, temperature effect, humidity effect, air flow, operational stability, energy efficiency

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