This article examines the practical implementation of a methodology based on Bayes' theorem in the field of technical diagnostics and residual life forecasting for industrial equipment. Emphasis is placed on the ability of this approach to support engineers' effective work under the uncertainty inherent in real-world production processes. Using a vibration monitoring system for multi-axis milling machines, which are critical for the aerospace industry in the production of high-precision aluminum aircraft components, as an example, the feasibility of quantitatively updating the probability of failures as new sensor data arrives is demonstrated. Initial signals, such as vibration, temperature, or acoustic emission levels, are transformed into probabilistic risk assessments with practical justification, providing a reliable basis for management decision-making.

 

Keywords: "Technical diagnostics, residual life forecasting, predictive maintenance, engineering systems, decision theory, aircraft engineering, repair economics, uncertainty management, probabilistic models, monitoring systems, adaptive algorithms

The paper considers an approach to choosing a tool for investigating vulnerabilities in the Active Directory directory service, which contains information of primary value to intruders, making it possible to determine the best point of entry into the system and develop the optimal strategy and tactics to implement the most effective and fastest attack. As part of this work, an analysis of possible directory service threats has been carried out and a classification of attacks on Active Directory has been provided. The classification of tools used to obtain useful information from Active Directory is given. The possibilities of Cobalt Strike as a tool for threat emulation and post-operational tasks based on a hidden agent and an updated database of attacking scripts are considered. The analysis of the practical implementation of cyber attacks using the tool Cobalt Strike over the past few years has been carried out. The methodology of such cyber attacks has been studied and detailed step by step.

Keywords: information security, cyberattack, attack scenarios, threat analysis, directory service, Active Directory, Cobalt Strike

The search for new approaches to the design of residential complexes is relevant in many countries worldwide. A humanitarian, environmentally-oriented approach is particularly promising for implementing design solutions. This article presents a theoretical justification for the principles that correspond to this approach. Based on the general strategic directions tested during the development of the residential complex design solution, eight principles have been identified and adapted to the conditions of Russia's southern regions: cultural identity; meaningfulness; reasonable rationality; social adaptability; permeability; energy efficiency; environmental friendliness; and aesthetics. Their integrated application demonstrates the use of a humanitarian, environmentally-oriented approach in the project.

Keywords: architecture, residential buildings, energy efficiency, ecological construction, green construction, residential development, eco-urbanism

This paper presents the results of research into the synthesis of a mathematical model for the welding process of critical power engineering structures. To quantitatively assess the condition of welding components, an entropy approach is proposed, allowing for the study of objects taking into account the stochastic nature of the processes occurring within them. An information and analytical system is proposed as a means of obtaining information, enabling measurement procedures to be performed under real production conditions. Electrical signals of welding current and voltage are measured. In the first stage, the signals are converted into time series and subjected to entropy parameterization. Next, the condition is monitored using a vector entropy model. The model is constructed based on a procedure for comparing vector entropies characterizing the states of components from the previous and current welding processes.

Keywords: monitoring, information, entropy, welding production, modeling of complex systems

In this paper, we propose a method for evaluating the key indicators of a multichannel queuing system with an unlimited queue and multiphase Erlang-type service. It is shown that the transition to the multichannel case leads to a sharp increase in the dimension of the state space and a complication of the system of Kolmogorov equations, which often makes direct analytical calculation unavailable. A meta-model based on machine learning methods, trained on discrete event simulation data, is proposed for an approximate forecast of the average waiting time, average queue length and the proportion of applications served. A comparison of basic regression and neural network models is performed and the stability of the approximation with a change in the load factor is considered.

Keywords: queuing system, queue, simulation modeling, meta-model, machine learning, neural network, multi-channel service, Erlang distribution, impatience, Kolmogorov equation, regression, gradient boosting, random forest, perceptron

The article discusses the problem of significant delays in processing applications for administrative permits in the sphere of individual housing construction, due to the uneven distribution of load between processing channels. The relevance of the work is related to the need to optimize bureaucratic processes in the context of increasing the volume of individual housing construction within the framework of the implementation of public housing programs. The aim of the study is to develop a mathematical model of a multi-channel mass service system, adapted to the specificity of administrative procedures in the sphere of individual housing construction, with the aim of reducing the average waiting time for processing applications by at least 25%. The article analyzes the structure of administrative procedures and regulatory and legal regulation of housing construction, identifies key stages and "bottlenecks" of the harmonization process. Based on the theory of mass service flows, applications are formalized as a Pusonian process and a model with exponentially distributed service time is constructed. Optimization techniques developed and evaluated, including dynamic allocation of requests between channels, prioritization and adaptive load management to account for seasonal fluctuations. The results of the study confirm the possibility of achieving the goal of reducing waiting times. It is shown that the proposed solutions increase the system’s capacity by 15-22% and reduce the downtime of administrative resources by 18-25%. Scientific novelty consists in the complex application of the apparatus of mass service theory to optimize administrative processes in housing construction, taking into account real constraints.

Keywords: individual housing construction, administrative procedures, queuing system, mathematical modeling, optimization, processing delay, Poisson Stream, bandwidth

This paper concerns the problems of identification of systems with mixed-type nonlinearities. An improved method of frequency identification using a system of correlators, which allows recording a bilinear frequency response is shown. An approach is proposed that provides a more accurate measurement frequency response of Volterra kernels, which consists of output correction. The efficiency of the proposed approach is demonstrated using the example of a nonlinear system including a deadband block. Based on known analytical values, the errors of the methods are calculated.

Keywords: Volterra series, system identification, nonlinear systems, piecewise nonlinearities, frequency responses, Riccati equation

The article examines the organizational and technological aspects of constructing offshore platform substructures and the factors influencing the pace of their erection. A comparison of foreign and Russian practice reveals key constraints related to the continuity of formwork-concrete operations and the applied form-shaping systems. The study presents classifications of materials and technologies, as well as a multicriteria efficiency assessment model that enables the comparison of alternative technological solutions. Based on the findings, the paper identifies promising directions for improving technological approaches to offshore platform construction.

Keywords: offshore platforms, supports, construction, sliding formwork, concreting, technological processes, multi-criteria assessment

This article examines the voting process in the UN Security Council. It describes the decision-making process from the perspective of cooperative voting games. A method for finding the distribution of payoffs between agents in a voting game is presented. An algorithm for formalizing a voting game with player vetoes and a variable number of agents is described. A comparison of player payoffs as a result of voting with different agent compositions is presented. An analysis of how voting would change in the event of a possible US withdrawal from the UN Security Council is conducted. Hypotheses are put forward regarding changes to the voting rules should the composition of the Council change. Conclusions are drawn regarding the use of cooperative games in analyzing the voting process. A conclusion is formulated regarding the consequences of a US withdrawal from the UN Security Council.

Keywords: game theory, cooperative games, Shapley value, coalition, C-core, voting, UN, division, veto

The article describes an experiment on the compilation of a training sample, training and testing of a neural network model of a computer vision system for detecting burns of a tundish nozzle at a continuous steel casting plant. The issue of validity of augmentation of data for training is considered. The obtained results are analyzed.

Keywords: computer vision, object detection, dataset, augmentation, steelmaking, continuous steel casting, burnout of a tundish nozzle

The design of automated control systems for the physical protection of facilities is one of the most sought-after area in the development of domestic software products. The article presents the architecture of a hardware-software system, an assessment of the development tools required to implement a web application based on the Astra Linux operating system, and a description of an experiment to create a system prototype. The following tools were used to build the system: the Angular framework for the client layer; the FastAPI framework, the SQLAlchemy library, and the WebSocket protocol for the server layer; and the object-relational PostgreSQL database management system for data storage. The result of the work is a technical means control system that demonstrates interaction with devices and the database. The implemented prototype will serve as a basis for developing a hardware-software complex for the physical protection of a facility.

Keywords: domestic operating system, web application, development tools, management system, database, sensor, monitoring

This paper discusses a method for countering Sybil attacks in distributed systems based on the analysis of electromagnetic power maps of the temporal characteristics of network traffic. The key hypothesis is that multiple Sybil identifiers controlled by a single attacker node exhibit statistically significant correlation in their network activity patterns, which can be identified using a correlogram. A method for detecting Sybil attacks in wireless networks is proposed based on the analysis of correlograms of electromagnetic signal power maps. The method exploits the statistical properties of power profiles arising from the correlation of network activity of Sybil nodes controlled by a single attacker. A protection system architecture has been developed, including modules for network activity monitoring, correlogram calculation, clustering, and anomaly detection. A set of 10 correlogram parameters is introduced for attack identification, including profile variance, randomness and periodicity coefficients, spectral density, and correlation characteristics. Experimental testing on a millimeter-wave radar station demonstrated detection accuracy ranging from 83.2% to 97.4%. To improve the method's effectiveness, the use of deep neural networks after accumulating a sufficient amount of data is proposed. The proposed method enables the identification and denial of compromised identifiers, increasing the resilience of P2P networks, blockchain systems, and distributed ledgers.

Keywords: Sybil attack, distributed systems security, correlogram, network traffic analysis, time series, autocorrelation, anomaly detection

The article presents a hybrid neural network for estimating the mass of a car and the longitudinal/transverse slopes of a road, combining a square-root sigma-point Kalman filter and a neural network model based on a transformer encoder using cross-attention to the evaluation residuals. The proposed approach combines the physical interpretability of the filter with the high approximation capability of the neural network. To ensure implementation on embedded electronic control units, the model was simplified by converting knowledge into a compact network of long-term short-term memory. The results of experiments in various scenarios showed a reduction in the average error by more than 25% with a computational delay of less than 0.3 ms.

Keywords: vehicle condition assessment, road slope assessment, vehicle mass assessment, transformer neural network, cross-focus, adaptive filtering, knowledge distillation, square-root sigma-dot Kalman filter, intelligent vehicles, sensor fusion

The article discusses aspects of the implementation of the architecture of cultural and educational centres in industrial cities. This article reveals historical context of the formation of cultural and educational institutions in the structure of industrial cities. Some of the objects in cities of the Donbass region are given as examples, including the context of architectural revitalization. The term "rehabilitation" is analyzed in relation to architectural and urban planning activities. The factors that determine the need for social rehabilitation in industrial cities are given in this article, including those applicable to the cities of the Donbass region. The aspects of social rehabilitation are formulated in this paper, which make it possible to apply this concept to industrial territories. Some socio-economic aspects, that reveal the meaning of architectural reinterpretation of objects of industrial and post-industrial territories, are given in this paper. Special attention is paid to the potential of cultural and educational centers as a tool for integrating former industrial territories into modern urban space.

Keywords: architectural heritage, industrial city, culture, cultural and educational institution, social environment, leisure, rehabilitation, modernization, architectural transformation, sustainable urban development, regional specifics

The paper presents an algorithm for calculating thermal processes in the chain section of rotary tubular kilns used for sintering nepheline concentrate with limestone. The model is based on heat and mass balances and accounts for interactions between the gas flow, the material bed, dust particles, and the refractory lining. The algorithm considers the influence of the geometry and packing density of the chain curtain on heat transfer and is integrated with submodels of axial material movement and dust carryover. The calculation is implemented as an iterative scheme that ensures consistency between gas and material temperatures. The algorithm makes it possible to determine temperature distributions, heat fluxes and losses, as well as to perform parametric optimization of kiln operating conditions and design.

Keywords: rotary tubular kiln, nepheline concentrate, mathematical model, chain section, heat transfer, material movement, dust carryover, algorithm