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 presents the results of a study on the composition of decorative concrete that exhibits luminescence at night and architectural expressiveness in daylight, while maintaining enhanced physical and mechanical properties. The feasibility of producing decorative concrete using container and construction glass waste in combination with photoluminescent additives is demonstrated.

Keywords: concrete, decorative concrete, luminescent concrete, cullet, photoluminescent additives, plasticizing additive

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

This article analyzes the specifics of applying certain circular economy principles in the construction industry. It examines the generation and management of construction waste. The main sources and types of construction waste are identified, including their classification by hazard level. It is determined that, due to its scale and the diversity of materials consumed, the construction industry has the greatest potential for waste utilization.

Keywords: construction industry; сlosed-loop economy; construction waste, waste recycling, waste disposal; circular economy

The article discusses the revitalization of industrial facilities of the elevator type, the current experience of restoration, renovation, reconstruction, and adaptation of such facilities to the modern needs of the urban environment. The article focuses on developing a theoretical model for the revitalization of former industrial facilities using the example of the Nevskaya Mlina flour mill in St. Petersburg. The article analyzes the architectural and spatial features, the potential for urban planning integration, and the functional reorientation of the facility. The principles of functional flexibility, architectural continuity, preservation of place memory, adaptive design, and sustainable urban integration became the basis for developing a theoretical model of revitalization for the Nevskaya Melnits flour mill. The practical result of solving the problem of transforming the flour mill in St. Petersburg is the versatility of its approach and the possibility of applying the proposed method to develop adaptation programs for other similar industrial facilities of the elevator type. 

Keywords: revitalization of industrial areas, renovation of flour mills, adaptation of industrial facilities, reconstruction of silos, elevator with silos towers

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

A vectorial diffraction model is presented for the focusing of a Gaussian laser beam with a wavelength of 800 nm by a parabolic metallic mirror with a diameter of 15 mm and a focal length of 150 mm. The model is based on a rigorous calculation of the reflected electromagnetic field using s- and p-polarization basis functions, complex Fresnel coefficients, and the Kirchhoff–Rayleigh surface integral. The reflective coating is characterized by a complex refractive index n = 0.145 + 4.5i, corresponding to silver in the near-infrared spectral range. The incident beam has a waist radius of 3 mm at the mirror’s vertex plane. The field distribution in the focal plane is numerically computed on a 300×300 grid over a ±30 μm region. Focus quality is evaluated using three criteria: total intensity, radial intensity distribution, and the full width at half maximum (FWHM) of the focal spot. A focal spot with FWHM ≈ 8.56 μm is obtained, in close agreement with the theoretical diffraction-limited estimate. The results demonstrate that accounting for the vectorial nature of the field and the dissipative properties of the metal enables accurate prediction of polarization distortions and energy losses in practical mirror-based focusing systems.

Keywords: vectorial diffraction model, parabolic metallic mirror, Gaussian laser beam, Fresnel coefficients, complex refractive index

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

An integrated approach to the numerical study of forced oscillations of a vehicle moving over an uneven road surface is proposed. The method combines 3D parametric modeling in SolidWorks with spectral-correlation analysis in MATLAB/Simulink. A multibody CAD model of a vehicle with independent suspension for all wheels was developed, including the main frame, lever suspensions with nonlinear elastic-damping elements, wheels, and the powertrain. The road microprofile was formalized using a correlation function implemented as a random process in MATLAB and imported into SolidWorks as a spatial profile. Dynamic analysis was performed using the SolidWorks Motion module. The results show that the vehicle's suspension exhibits a filtering effect, attenuating high-frequency disturbances from the road and shifting the dominant frequency of the center of mass oscillations to a lower range (~0.4 Hz). The rapid decay of the autocorrelation function indicates effective damping. This approach allows for efficient virtual testing without costly physical experiments.

Keywords: vehicle dynamics, road microprofile, multibody modeling, SolidWorks Motion, MATLAB/Simulink, spectral analysis, autocorrelation function, suspension filtering effect, forced oscillations

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

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