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  • Technologies for managing practice-oriented and career-oriented activities in the field of engineering education

    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

  • A Two-Stage Architecture for Estimating Scene Structure Parameters from Graph Cuts

    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

  • Robust visual-inertial odometry system for unmanned vehicles

    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

  • Search for exploits based on file hash analysis using neural networks

    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

  • Instrumental and organizational aspects of IntraService implementation in corporate IT environment

    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

  • A survey of metrics for evaluating the performance of generative models in image creation

    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

  • Analysis of the structure and quality of solar radiation data from ERA5 reanalysis for short-term forecasting in the Far North

    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

  • Waterproofing of foundations by means of a two-layer membrane device using injection control fittings

    The article describes the features of using a two-layer membrane with the use of injection control fittings in the installation of underground waterproofing. The circumstances preventing the mass application of this technology have been identified, the main part of which is related to the increase in the cost of work at the initial stage. However, the use of the technology is justified because it allows you to localize the location and period of leakage, has increased maintainability and durability.

    Keywords: waterproofing, modern waterproofing technologies, double-layer membrane, injection control fittings

  • Content-based approach in recommender systems: principles, methods and performance metrics

    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

  • On the issue of determining the basic parameters of the tethered balloon shell used in the construction and installation of high-rise facilities

    This article highlights the use of tethered balloons in the construction of high-rise buildings, where the use of cranes or helicopters is not always advisable due to the technological features of the structures being built, or for economic reasons. The design scheme of a balloon system capable of mounting high-rise structures, in particular industrial chimneys, is described. Examples of the installation of high-rise pipe structures are given. The basis of theoretical approaches is given to determine the characteristics of the shell as the main component of cargo balloon carriers. A method for determining the volume of a balloon is given, as an important element in the balloon shell design.

    Keywords: balloon crane, construction of high-rise facilities, high-rise installation, balloon system, equation of equilibrium of a balloon crane.

  • Comparative analysis of modern image generation methods: VAE, GAN and diffusion models

    The article presents an analysis of modern methods of image generation: variational autoencoders (VAE), generative adversarial networks (GAN) and diffusion models. The main attention is paid to a comparative analysis of their performance, generation quality and computational requirements. The Frechet Inception Distance (FID) metric is used to assess the image quality. Diffusion models showed the best results (FID 20.8), outperforming VAE (FID 59.75) and GAN (FID 38.9), but require significant resources. VAEs are stable, but generate blurry images. GANs provide high quality, but suffer from training instability and mode collapse. Diffusion models, due to step-by-step noise decoding, combine detail and structure, which makes them the most promising. Also considered are methods of image-to-image generation used for image modification. The results of the study are useful for specialists in the field of machine learning and computer vision, contributing to the improvement of algorithms and expansion of the areas of application of generative models.

    Keywords: deepfake, deep learning, artificial intelligence, GAN, VAE, diffusion model

  • The feasibility of using local methods of heating road surfaces

    The article considers the issues of increasing road safety in urban development in winter. The causes of snow and ice deposits and their impact on the comfort and safety of traffic, including pedestrians, are considered. A review of modern snow melting and road surface heating systems is provided, with the most effective examples of road surface heating projects being given. A comparative analysis and assessment of the effectiveness of road surface heating systems is performed, using a 1000 m2 car park as an example. Recommendations are given for the use of road surface heating systems.

    Keywords: highways, hydrothermal systems, electrical systems, road surface heating

  • Modern methods of increasing the bearing capacity of winter roads

    The article considers issues related to the development of the territories of the Far North and the Arctic, namely, issues of ensuring transport accessibility of the northern regions. The issues of relevance and demand for the construction of winter roads and ice crossings are considered. The features of the construction and operation of winter roads are studied. The main methods of strengthening and extending the service life of winter roads are considered and analyzed. Options for strengthening winter roads and ice crossings with geosynthetic materials are proposed and substantiated. Recommendations are given to reduce the environmental impact of measures to strengthen winter roads on the environment.

    Keywords: winter roads, ice crossings, ice coverings, strengthening, reinforcement

  • The influence of preliminary compression of concrete with composite materials on the change of its properties under compression

    During long-term operation of reinforced concrete structures of buildings and structures under the influence of various loads and impacts, destructive changes occur, which lead to a decrease in the bearing capacity and serviceability, and, as a consequence, to the need to use structural reinforcement. In compressed elements, as is known, concrete destruction occurs due to reaching tensile stresses in the transverse direction of the strength limit. In this case, one of the effective methods for strengthening such structures is the creation of transverse ferrules from composite materials. At the same time, the studies show relatively low stresses in the elements of composite reinforcement when the structure reaches destruction. The current task of this study is to study the effect of prestressing elements made of carbon composite materials on changing the physical and mechanical properties of concrete under compression. The technology of creating prestressing is considered and the results of testing experimental concrete samples are presented. It was found that reinforcing elements with prestressed ferrules increases the strength of concrete by more than 2 times.

    Keywords: concrete, reinforced concrete, compressed elements, reinforcement, composite materials, pre-compression, strength, deformability

  • Selecting a thermal insulation layer for sandwich panels based on a comparison of their parameters

    The authors of this article raise the issue of the correct selection of internal material for sandwich panels. The use of these structures is widespread in the construction of industrial facilities, so it is important to consider all the parameters of possible options for the optimal choice. The authors define the objectives of the article as the creation of an auxiliary comparative table with the parameters of the most popular thermal insulation materials for sandwich panels based on regulatory and theoretical information, as well as the formulation of recommendations for the use of a certain material depending on the specified conditions. Particular attention in the study is paid to such properties of materials as moisture resistance, flammability, durability, density and thermal insulation. It is also important to note that the article touches upon the cost issue, namely, market prices for sandwich panels are compared with the considered insulation materials of some suppliers.

    Keywords: thermal insulation materials, sandwich panels, properties of materials, analysis of properties, moisture resistance of structures, density