A combined theoretical and practical study of the burner device parameters has been performed. The flow characteristic of the fuel supply system has been determined. Aerodynamic studies of the burner device characteristics have been conducted, axial velocity fields have been constructed, and critical parameters of the air supply unit design have been identified. The temperatures of in-chamber processes have been experimentally determined. A mathematical model of chemical reactions of the torch has been developed, and the dependence of diesel fuel toxicity on the excess air coefficient has been constructed. The effect of water vapor on the burner device operation has been determined.

Keywords: burner device, axial velocity field, intra-chamber processes, thermochemical parameters, mathematical modeling, toxicity

The increase in the length of asphalt concrete roads increases the importance of efficient asphalt concrete plants in road construction. Modern environmental requirements and rising fuel prices determine a decrease in the temperatures of cooking and laying ABS. In foreign and domestic practice of road construction, warm asphalt concrete mixtures are increasingly used, including with the use of zeolite. The prerequisites for the study of warm asphalt concrete using zeolite in the Republic of Tatarstan is the presence of one of the largest deposits of zeolite-containing rocks of the Russian Federation - Tatarsko-Shatrashansky. Pilot production implementation of the research results was carried out during the construction of an experimental section on the highway – the entrance to the locality of Klyuchishchi in the Verkhneuslonsky district of the Republic of Tatarstan with an upper layer of warm asphalt concrete coating using zeolite. The results of the material indicators that meet the regulatory requirements have been obtained.

Keywords: warm asphalt concrete mixtures, zeolite, zeolite-containing additives, highways, experimental site

Image super-resolution is a popular task that aims to translate images from low resolution to high resolution. For this task, convolutional networks are often used. Convolutional neural networks, have a great advantage in image processing. But despite this, often information can be lost during processing and increasing the depth and width of the network can make further work difficult. To solve this problem, data transformation into frequency domain is used. In this paper, the image is divided into high frequency and low frequency regions, where higher priority is given to the former. Then with the help of quality check, and visual evaluation, the method is analyzed and the conclusion regarding the performance of the algorithm is drawn.trial enterprise.

Keywords: super-resolution (SR), low-resolution (LR), high-resolution (HR), discrete-cosine transform, convolution-neural networks

The composition and scope of work on the inspection of buildings and structures depends on the purpose of the work. One of the problems of missing deadlines, increasing the cost and reducing the quality of the survey of buildings and structures is the incorrect formulation of the task. To this end, an analysis of the technical conclusions of the survey was carried out and the main goals were identified, as well as a link to the life cycle of the object was given, for a better formulation of the task.

Keywords: inspection of buildings and structures, the technical condition of structures, the scope of work, the terms of reference for the survey, the life cycle of the object

This article identifies the main advantages and disadvantages of using VR simulators to improve the professionalism of employees when performing work at an enterprise (organization). An analysis of existing projects used in various industries was carried out. A description of the developed first aid project is presented. The developed simulator allows you to practice skills in eliminating bleeding in different parts of the body: arm, leg, neck. While working on the project, the main factors influencing the quality of the developed VR simulator were identified. Thus, it was found that VR simulators are not capable of fully simulating fine motor skills of the hands. In addition, the simulator has restrictions on the position of the body in space. Despite the identified shortcomings, the use of the simulator allows you to practice key skills in providing first aid.

Keywords: virtual reality, VR simulator, personnel training, professional activity, first aid, information technology, modeling.

The paper studies the dynamic-mechanical characteristics of styrene-isoprene-styrene, polybutyl methacrylate, thermoplastic polyurethane block copolymers and their blends by dynamic mechanical analysis. It is found that blending of several types of polymers allows to extend the range of effective vibration absorption. A combination of polymers with high damping properties over a wide temperature-frequency range was determined. The influence of vibration frequency on dynamic-mechanical properties of composites has been investigated.

Keywords: polymer composite material, dynamic mechanical analysis, polybutyl methacrylate, thermoplastic polyurethane, styrene-isoprene-styrene block copolymer, vibration absorption, damping material, glass transition temperature

This article is dedicated to developing a method for diagnosing depression using the analysis of user behavior in a video game on the Unity platform. The method involves employing machine learning to train classification models based on data from gaming sessions of users with confirmed diagnoses of depression. As part of the research, users are engaged in playing a video game, during which their in-game behavior is analyzed using specific depression criteria taken from the DSM-5 diagnostic guidelines. Subsequently, this data is used to train and evaluate machine learning models capable of classifying users based on their in-game behavior. Gaming session data is serialized and stored in the Firebase Realtime Database in text format for further use by the classification model. Classification methods such as decision trees, k-nearest neighbors, support vector machines, and random forest methods have been applied. The diagnostic method in the virtual space demonstrates prospects for remote depression diagnosis using video games. Machine learning models trained based on gaming session data show the ability to effectively distinguish users with and without depression, confirming the potential of this approach for early identification of depressive states. Using video games as a diagnostic tool enables a more accessible and engaging approach to detecting mental disorders, which can increase awareness and aid in combating depression in society.

Keywords: videogame, unity, psychiatric diagnosis, depression, machine learning, classification, behavior analysis, in-game behavior, diagnosis, virtual space

The production of ultra high molecular weight polyethylene (UHMWPE) is associated with significant dust emissions into the production room, so the aspiration system plays an important role in the technological process. The study of dust in industrial product waste released into the work area is one of the objectives of the ongoing research. This work provides information on the dispersed composition of ultra-high molecular weight polyethylene (UHMWPE) particles, and various graphs are constructed based on the data obtained. Data on the deposition rate of UHMWPE particles were obtained experimentally. A comparative analysis of the obtained data with theoretical data obtained using formulas was carried out.

Keywords: ultra high molecular weight polyethylene, UHMWPE, dispersed composition of ultra high molecular weight polyethylene, sedimentation rate of ultra high molecular weight polyethylene particles, method for studying the properties of raw high molecular weight

The rocks that form a natural geological reservoir for underground gas storage, during the operation of UGS, are exposed to prolonged cyclic loads caused by periodic injections and withdrawals of natural gas. At the same time, it is possible to develop and accumulate residual deformations in rocks that cause irreversible changes in the properties of rocks and this must be taken into account when designing and operating UGS.

Keywords: underground gas storage, geomechanical modeling, cavern, salt massif, deformations

The article analyzes the relevance and state of modern phishing attacks on critical information infrastructure (CII) facilities. Phishing, as one of the most common types of cyber attacks, poses a serious threat to the security of information systems and data. The purpose of the study is to identify the main characteristics and tactics of phishing attacks, as well as to assess the level of protection of the OKII from this type of threat. The research uses data on the latest phishing trends and methods collected from various sources, including cybersecurity reports, incident statistics and analysis of successful attacks. The main focus is on analyzing the targets of phishing attacks in the context of their importance for ensuring the continuous operation of critical information infrastructure. Based on the analysis, recommendations are formulated to improve protection systems against phishing attacks for critical information infrastructure facilities. The purpose of this study is to raise awareness among cybersecurity professionals and security policy makers about the emerging risks of phishing. In addition, the main task is to ensure effective protection of information resources, which are an integral part of the functioning of critical infrastructure.

Keywords: information security, phishing attacks, information infrastructure, mathematical modeling, software package

The article is based on modelling several variants of information diagrams of a corrugated monolithic ceiling of an industrial building. The information model has been transformed into an analytical model. The comparative analysis of all calculation models was carried out visually and in numerical aspect. The efficiency of BIM-technologies in design with the application of software complexes «Renga», «CAPFIRR-3D» and «LIRA-CAD» is also considered in the calculation and construction section. The comparative analysis of three variants of the joints of the beams and the slab of the covering was carried out. The analysis of the stress-distorted state of the calculation circuit was also performed.

Keywords: ribbed slab, industrial building, design of buildings and structures, BIM-technologies, calculation scheme, information model, rigid insert, stress-strain state, finite element method

This article is devoted to the development of a method for detecting defects on the surface of a product based on anomaly detection methods using a feature extractor based on a convolutional neural network. The method involves the use of machine learning to train classification models based on the obtained features from a layer of a pre-trained U-Net neural network. As part of the study, an autoencoder is trained based on the U-Net model on data that does not contain images of defects. The features obtained from the neural network are classified using classical algorithms for identifying anomalies in the data. This method allows you to localize areas of anomalies in a test data set when only samples without anomalies are available for training. The proposed method not only provides anomaly detection capabilities, but also has high potential for automating quality control processes in various industries, including manufacturing, medicine, and information security. Due to the advantages of unsupervised machine learning models, such as robustness to unknown forms of anomalies, this method can significantly improve the efficiency of quality control and diagnostics, which in turn will reduce costs and increase productivity. It is expected that further research in this area will lead to even more accurate and reliable methods for detecting anomalies, which will contribute to the development of industry and science.

Keywords: U-Net, neural network, classification, anomaly, defect, novelty detection, autoencoder, machine learning, image, product quality, performance

The article describes the integration aspects of the Telegram bot implemented on the 1C: Enterprise platform, into the information system for processing the results of sports competitions. The basic functionality of user interaction with the bot is considered. A diagram of the system states in the process of user interaction with the bot is provided, illustrating the possible transition states when the user selects certain commands or buttons. A diagram of the sequence of the registration process for participants of events using a Telegram bot is presented, illustrating the transmission of messages using post and get requests.

Keywords: processing the results of sports competitions, Telegram bot, messenger,1C: Enterprise platform, state processing, information systems in the field of sports

The constant growth of cyber attacks on the financial sector requires the construction of a modern protection system based on the use of artificial intelligence or machine learning. The paper provides an analysis of specific products and solutions of the global market based on artificial intelligence technologies that can be used to protect critical information infrastructure.

Keywords: cyber attacks, critical infrastructure, artificial intelligence, information security, machine learning

The article discusses the features and prospects of implementing distributed management of critical urban infrastructure facilities based on the principles of autonomy. Based on the analysis, the main technologies, directions of development and features of energy transfer in an urban environment are highlighted, contributing to the introduction of distributed management of urban infrastructure facilities. The study focuses on the analysis of the distributed structure of integrated security of critical urban infrastructure facilities and the development of general principles of distributed management of critical infrastructure facilities using the «Autonomous Building» technology. t is shown that the reliable and safe functioning of critical infrastructure facilities in the city is ensured through the synthesis of special technical systems for complex protection of the facility from major security threats based on the combined use of elements of life support and safety systems. At the same time, technical life support systems for autonomous objects of critical infrastructure of the city are built on the basis of the combined use of autonomous energy sources, including non-renewable energy sources, on the principles of joint operation of electric and static power converters, storage, frequency regulation and energy conversion, and technical safety systems of autonomous objects are built using combined optical and electronic means event detection and recognition with the ability to control the full spectrum of electromagnetic radiation.

Keywords: distributed management, technology, energy, energy transfer, urban infrastructure, critical facility, electrification, decentralization, automation, autonomy