The article discusses methods for automated determination of threshold values of parameters when assessing the critical state of technical systems. It explores the theoretical foundations and practical aspects of setting thresholds, including statistical, expert, and combined approaches. Particular attention is paid to mathematical models and algorithms for processing monitoring data. Various methods for determining threshold values are presented: computational, experimental, statistical, and expert. The features of applying adaptive thresholds, dynamic control, and machine learning systems are described. An analysis of existing approaches to determining critical conditions of equipment is conducted. Recommendations are developed for selecting optimal methods for determining thresholds, taking into account the specifics of technical systems. Comprehensive solutions are proposed that combine analytical and machine methods to improve the reliability and safety of computing complexes.

Keywords: automated control, threshold values, technical diagnostics, critical state, computing systems, machine learning, statistical analysis, expert systems, equipment monitoring, technical safety

The relevance of this article stems from the need to develop lightweight and scalable solutions for decentralized systems (blockchain, IoT), where traditional cryptographic methods are inefficient or excessive. A theoretical-practical method for protecting unmanned transportation systems against Sybil attacks has been developed, based on a server robot’s analysis of each client robot’s unique directional electromagnetic signal power map signature. Experimental solutions for Sybil attack protection are demonstrated using two aerial servers deployed on quadcopters. The proposed keyless Sybil attack defense method utilizes WiFi signal parameter analysis (e.g., power scattering and variable antenna radiation patterns) to detect spoofed client robots. Experiments confirm that monitoring unique radio channel characteristics effectively limits signature forgery. This physical-layer approach is also applicable to detecting packet injection in robot Wi-Fi networks. The key advantages of the developed method include the elimination of cryptography, reducing computational overhead; the use of physical signal parameters as a "fingerprint" for legitimate devices; and the method's scalability to counter other threats, such as traffic injection.

Keywords: protection against Sybil attacks, unmanned vehicle systems, electromagnetic signal power map, WiFi signal, signature falsification, spoofing, and synthetic aperture radar

Problem statement. When modeling a complex technical system, the issues of parameter estimation are of primary importance. To solve this problem, it is necessary to obtain a methodology that allows eliminating errors and inaccuracies in obtaining numerical parameters. Goal. The article is devoted to a systematic analysis of the methodology for estimating the parameters of a complex technical system using the interval estimation method. The research method. A systematic analysis of the methods of using interval estimates of numerical parameters is carried out. The decomposition and structuring of the methods were carried out. Results. The expediency of using a methodology for describing the parameters of a complex technical system using the interval estimation method is shown. An analysis of the use of various interval estimation models is presented. Practical significance. Application in the analysis and construction of complex systems is considered as a practical application option. The method of estimating the parameters of a complex technical system using the interval estimation method can be used as a practical guide.

Keywords: interval estimation, parameter estimation, numerical data, fuzzy data, complex technical systems

This paper proposes a mathematical model of the laminar flow of a truly viscous lubricant in the clearance of a radial plain bearing with a nonstandard support profile. The influence of a fluoroplastic-containing polymer coating and a groove on the shaft surface is considered, taking into account nonlinear effects, which improves the accuracy of the description of hydrodynamic processes. Thin-film approximations and continuity equations are used to determine the hydrodynamic pressure, load capacity, and friction coefficient. A comparison with existing calculation models demonstrated improved performance prediction. The results demonstrate the feasibility of ensuring stable shaft floatation, confirming the applicability of the developed model for engineering calculations of bearings with a polymer coating and a groove.

Keywords: radial plain bearing, mathematical modeling, true viscous lubricant, polymer composite coating, hydrodynamic regime, tribotechnical characteristics

The article focuses on the development of a web portal for monitoring and forecasting atmospheric air quality in the Khabarovsk Territory. The study analyzes existing solutions in the field of environmental monitoring, identifying their key shortcomings, such as the lack of real-time data, limited functionality, and outdated interfaces. The authors propose a modern solution based on the Python/Django and PostgreSQL technology stack, which enables the collection, processing, and visualization of air quality sensor data. Special attention is given to the implementation of harmful gas concentration forecasting using a recurrent neural network, as well as the creation of an intuitive user interface with an interactive map based on OpenStreetMap. The article provides a detailed description of the system architecture, including the backend, database, and frontend implementation, along with the methods used to ensure performance and security. The result of this work is a functional web portal that provides up-to-date information on atmospheric air conditions, forecast data, and user-friendly visualization tools. The developed solution demonstrates high efficiency and can be scaled for use in other regions.

Keywords: environmental monitoring, air quality, web portal, forecasting, Django, Python, PostgreSQL, neural networks, OpenStreetMap

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

This paper is devoted to the construction of a visual-inertial odometry system for an unmanned vehicle using both binocular cameras and inertial sensors as an information source, which would be able to simultaneously determine the vehicle's own position and the relative position of other road users. To ensure accurate and continuous localization, it is proposed to use an inertial navigation system and two types of image keypoints. Deep learning models are used to accurately and reliably track keypoints. To achieve efficient and reliable matching of objects between two frames, a multi-level data association mechanism is proposed that takes into account possible errors of various system components. The experimental results demonstrate the feasibility and application potential of the proposed system.

Keywords: multi-object visual-inertial odometry, localization, data association, tracking of 3D dynamic objects

This article evaluates various methods for determining the technical condition of structures, buildings and structures. To date, probabilistic (statistical) methods are considered to be one of the possible options for determining the degree of destruction of building structures. The advantage of these methods is the ability to comprehensively take into account the parameters present in a variety of material nature. This is due to the possibility of describing them in dimensionless quantities. The purpose of the method under consideration is to formulate a certain number of technical conditions (events) through which it is planned to determine the degree of destruction and find a set of technical conditions of building structures. Diagnostic matrices are created by combining diagnostic features and their conditional probabilities, acquired by analyzing a large amount of accumulated statistical data.

Keywords: construction and technical expertise, defects, reliability, diagnostic methods, efficiency

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

The purpose of the article: to determine the possibility of using file hash analysis using artificial neural networks to detect exploits in files. Research method: the search for exploits in files is carried out based on the analysis of Windows registry file hashes obtained by two hashing algorithms SHA-256 and SHA-512, using three types of artificial neural networks (direct propagation, recurrent, convolutional). The obtained result: the use of artificial neural networks in file hash analysis allows us to identify exploits or malicious records in files; the performance (accuracy) of artificial neural networks of direct propagation and with recurrent architecture are comparable to each other and are much more productive than convolutional neural networks; the longer the length of the file hash, the more reliably it is to identify an exploit in the file

Keywords: malware, exploit, neural networks, hashing, modeling

The article describes the stages of formation of architectural and construction solutions of the opera house from the concept stage to design solutions. The process is considered on the example of designing an opera house in one of the northern republics of the Russian Federation. The variability and differences of preliminary projects at different stages are considered taking into account acoustic comfort at the stage of development of architectural and design solutions of the object. The mutual influence and dependence of architectural, design and acoustic solutions of the theater and the need for their parallel consideration at the early stages of design are demonstrated.

Keywords: concert halls, opera houses, architectural and construction solutions, acoustics, architecture, acoustic characteristics, auditoriums, architectural and construction structures

The article considers the issues of studying the wind regime of the territory of residential areas. The results of modeling a city microdistrict and wind flows in it using the multifunctional software package Ansys Discovery Live are presented. The analysis of the wind regime of the territory with different volumes of development from the point of view of the comfort of a person in it is carried out, comfortable and uncomfortable aeration zones are determined. The comparison was made for a residential complex consisting of four groups of houses with their courtyards, with a southern direction of the incoming wind flow. An assessment of the influence of the surrounding development on the wind situation is given. The use of computer modeling of the wind regime of residential development is relevant at present, since information on the nature of the movement of air flows helps to improve the comfort of cities for the population.

Keywords: wind regime, urban development, residential development, urban development, numerical modeling, Ansys Discovery Live, ventilation, wind comfort, aeration regime, aeration

The paper examines the case of IntraService incident management system implementation in an organization operating in the digital infrastructure segment. The study focuses on the assessment of changes that occurred in the functioning of the support service based on quantitative and qualitative indicators. The method of comparative analysis of operational parameters before and after the launch of the system is used, accompanied by expert interpretation of internal processes.

Keywords: implementation, system, incident, support, automation, platform, organization, infrastructure, process, integration

This paper provides a survey of metrics used to assess the quality of images generated by generative models. Specialized metrics are required to objectively evaluate image quality. A comparative analysis showed that a combination of different metrics is necessary for a comprehensive evaluation of generation quality. Perceptual metrics are effective for assessing image quality from the perspective of machine systems, while metrics evaluating structure and details are useful for analyzing human perception. Text-based metrics allow for the assessment of image-text alignment but cannot replace metrics focused on visual or structural evaluation. The results of this study will be beneficial for specialists in machine learning and computer vision, as well as contribute to the improvement of generative algorithms and the expansion of diffusion model applications.

Keywords: deep learning, metric, generative model, image quality, image

The article considers the assessment of the suitability of solar radiation data from ERA5 atmospheric reanalysis for forecasting problems in the northern territories. The experimental site of the Mukhrino station (Khanty-Mansiysk Autonomous Okrug), equipped with an autonomous power supply system, was chosen as the object of analysis. A statistical analysis of the annual array of global horizontal insolation data obtained using the PVGIS platform has been carried out. Seasonal and diurnal features of changes in insolation are considered, distribution profiles are constructed, and emissions are estimated using the interquartile range method. It is established that the data are characterized by high variability and the presence of a large number of zero values due to polar nights and weather conditions. The identified features must be taken into account when building short-term forecasting models. The conclusion is made about the acceptable quality of ERA5 data for use in forecasting energy generation and consumption in heating systems.

Keywords: ERA5, solar radiation, horizontal insolation, the Far North, statistical analysis, forecasting, emissions analysis, renewable energy sources, energy supply to remote areas, time series, intelligent generation management