More attention is being paid to the transition to domestic software with the digitalisation of the construction industry and import substitution. At each stage of construction, additional products are needed, including CAD and BIM. The experience of integration of Russian-made systems for the tasks of information modeling of transport infrastructure and road construction is considered. Within the framework of the work the integration of Vitro-CAD CDE and Topomatic Robur software system was performed. Joint work of the construction project participants in a single information space was organized. The efficiency of work of the project participants was determined due to the release from routine operations. Integration experience has shown that the combination of Vitro-CAD and Topomatic Robur allows to manage project data efficiently, store files with version tracking, coordinate documentation and issue comments to it.

Keywords: common data environment, information space, information model, digital ecosystem, computer-aided design, building information modeling, automation, integration, import substitution, software complex, platform, design documentation, road construction

The article examines the man-made risks in the Arctic zone of the Russian Federation, methods of working with data related to the use of intellectual analysis, and the use of information systems for forecasting risks and is designed for the widest range of readers. The conducted research demonstrates that the use of data mining methods opens up broad prospects for data integration. This process includes the adaptation of the system to specific emergency situations typical of the Arctic zone of the Russian Federation, as well as the development of appropriate interfaces for interaction with external subsystems. As a result of the conducted research, the conclusions were obtained: 1. Intelligent methods allow you to analyze large amounts of data and identify hidden patterns, which helps you make more informed decisions. The quality of decisions is improved. 2. Intelligent data processing allows you to automate routine tasks and optimize business processes. This leads to increased productivity and lower costs. The efficiency of business processes increases. 3. Intelligent systems can analyze data about past events and predict future trends. This allows you to take measures to reduce risks and ensure safety. These processes make it possible to reduce risks. 4. Intelligent algorithms can process data in real time, which allows you to quickly respond to changes in the external environment. 5. In the future, it is planned to work out the issue of introducing intelligent data analysis algorithms into man-made emergency forecasting analytics systems and the development of the data science concept, such as the GIS Atlas of Natural Hazards and Risks.

Keywords: data mining, forecasting, emergency, man-made risk, information system

This article is devoted to the development of a collision detection technique using a polygonal mesh and neural networks. Collisions are an important aspect of realistically simulating physical interactions. Traditional collision detection methods have certain limitations related to computational accuracy and computational complexity. A new approach based on the use of neural networks for collision detection with polygonal meshes is proposed. Neural networks have shown excellent results in various computer vision and image processing tasks, and in this context they can be effectively applied to polygon pattern analysis and collision detection. The main idea of ​​the technique is to train a neural network on a large data set containing information about the geometry of objects and their movement for automatic collision detection. To train the network, it is necessary to create a special module responsible for storing and preparing the dataset. This module will provide collection, structuring and storage of data about polygonal models, their movements and collisions. The work includes the development and testing of a neural network training algorithm on the created dataset, as well as assessing the quality of network predictions in a controlled environment with various collision conditions.

Keywords: modeling, collision detection techniques using polygonal meshes and neural networks, dataset, assessing the quality of network predictions

This paper investigates the effectiveness of the distance fields method for building 3D graphics in comparison with the traditional polygonal approach. The main attention is paid to the use of analytical representation of models, which allows to determine the shortest distance to the objects of the scene and provides high speed even on weak hardware. Comparative analysis is made on the possibility of wide model detailing, applicability of different lighting sources, reflection mapping and model transformation. Conclusions are drawn about the promising potential of the distance field method for 3D graphics, especially in real-time rendering systems. It is also emphasized that further research and development in this area is relevant. Within the framework of this work, a universal software implementation of the distance fields method was realized.

Keywords: computer graphics, rendering, 3D graphics, ray marching, polygonal graphics, 3D graphics development, modeling, 3D models

The growing popularity of large language models in various fields of scientific and industrial activity leads to the emergence of solutions using these technologies for completely different tasks. This article suggests using the BERT, GPT, and GPT-2 language models to detect malicious code. The neural network model, previously trained on natural texts, is further trained on a preprocessed dataset containing program files with malicious and harmless code. The preprocessing of the dataset consists in the fact that program files in the form of machine instructions are translated into a textual description in a formalized language. The model trained in this way is used for the task of classifying software based on the indication of the content of malicious code in it. The article provides information about the conducted experiment on the use of the proposed model. The quality of this approach is evaluated in comparison with existing antivirus technologies. Ways to improve the characteristics of the model are also suggested.

Keywords: antivirus, neural network, language models, malicious code, machine learning, model training, fine tuning, BERT, GPT, GPT-2

Automation of the production of butadiene-nitrile rubbers is one of the most important directions in the chemical industry. This article presents a systematic review of existing domestic and foreign solutions, as well as describes the methods of integrated control systems for automating the production of butadiene-nitrile rubbers. Modern technologies used in manufacturing enterprises are considered, including automated systems for control, management and monitoring of processes: from robotic manipulators to digitalization of production processes. The advantages and disadvantages of automation approaches are evaluated, and trends in the development of this area are highlighted. The article is intended for specialists in the field of chemical industry, process engineers, as well as anyone interested in modern production automation technologies in the chemical industry. Previous studies will be analyzed, and examples of successful implementation of automated.

Keywords: distributed control systems, automation, integration, data transfer, architecture of automation levels, automated control systems

Authors considered the thermal inertial properties of some building envelope constructions which included the changes of internal surface layer materials. Researchers described the thermal and physical characteristics of 6 building surface layer materials. It has been determinate the radiant temperature of building envelope inside surface with changes of wall construction after 225 hours cooling process and initial temperature equal to +23 оС. Authors defined the cooling time of building envelope inside surface to 0 оС at different types of surface layer materials. Numerical experiment was done with modern program complex “Stf”. Modeling process was completed in program which was realized with finite difference method and constant heat transfer coefficient. There are new experimental results which were determinate during the research and realizing the mathematical model of non-stationary element’s cooling process. Results could be interested for researchers of thermal phenomena in building envelopes and designers of microclimate engineering systems in buildings and structures.

Keywords: air temperature, radiation temperature, stationary regime, non- stationary regime, building envelope, emergency regime, thermal inertia, inside surface layer, program, building materials

The paper proposes a method for identifying patterns of the relative positions of buildings, which can be used to analyze the dispersion of air pollutants in urban areas. The impact of building configuration on pollutant dispersion in the urban environment is investigated. Patterns of building arrangements are identified. The methods and techniques for recognizing buildings are examined. The outcomes of applying the proposed method to identify building alignments are discussed.

Keywords: patterns of building location, geoinformation technologies, GIS, geoinformation systems, atmospheric air

The article is devoted to the development of a new mathematical method for modeling radial plain bearings having a polymer coating with an axial groove on the bearing surface. For the calculation evaluation of technical solutions for wear resistance, the compressibility of a truly viscous lubricant under laminar flow conditions is taken into account. As a result, new mathematical models were obtained that make it possible to estimate the duration of the hydrodynamic flow regime of the lubricant, to prove the stability and possibility of changing lubrication modes from boundary to hydrodynamic, as well as to make a calculated assessment of the effect of compressibility of the lubricant and wear resistance on operational characteristics.

Keywords: modeling, mathematical method development, modified design, compressibility impact assessment

In residential and public buildings, in-floor convectors are often used as heating devices. This study examines the operation of convectors in a swimming pool room. The results of numerical modeling of room microclimate parameters taking into account calculated heat loads and moisture emissions are presented. A comparative analysis of the operation of various heating and ventilation systems for a public swimming pool was carried out. The results of the study were obtained in the form of temperature distribution fields, movement speeds and relative air humidity. A conclusion is drawn about the effectiveness of using in-floor convectors in indoor public swimming pools.

Keywords: heating system, in-floor convector, moisture content, excess heat, excess moisture, air exchange, numerical modeling, room microclimate, SolidWorks, STAR-CCM+

The article deals with the issues of major repairs of rooms for radiation diagnostics in medical institutions, which is becoming more and more relevant in modern conditions. Functional diagnostics plays a key role in early detection of diseases, correct diagnosis and effective treatment of patients. With the development of technology and the advent of high-tech diagnostic equipment, there is a need to upgrade medical institutions to integrate such equipment. The study, conducted on the basis of an analysis of regulatory and technical documentation and scientific papers, highlighted the main stages of major repairs of radiation diagnostics facilities, identified the main participants in these stages. Organizational charts have also been developed for each stage, which emphasize the importance of coordination between all project participants, including builders, engineers, architects and medical specialists. The implementation of such schemes helps to minimize time and financial costs, ensures the implementation of all necessary requirements and standards, and guarantees the high quality of the work performed. As a result, we receive an organized repair process that allows medical institutions to effectively use new diagnostic equipment to improve the quality of medical services and improve the diagnosis and treatment of patients.

Keywords: major repairs, healthcare facilities, radiation diagnostics facilities, medical organization, project documentation

The problem of increasing consumption of heat and energy resources in the high-rise residential sector in the conditions of dense urban development becomes more relevant every year both for its population and for management companies. In order to reduce operating costs, to reduce the dependence of engineering systems of high-rise residential building on urban infrastructure, it is proposed to introduce some energy-efficient organisational and technological solutions in the designed apartment building. In the course of the study, on the example of a high-rise 25-storey residential building in the city of Rostov-on-Don, a comparison of operating costs of thermal energy for heating with the use of energy-saving materials and structures, and costs in typical conditions of construction. The results of this work will allow, from a practical point of view, to analyse the feasibility of using such energy-efficient building envelopes and materials as foil PIR-insulation, low-emission four-chamber glazing, "green" roofing in high-rise housing construction.

Keywords: energy efficient building envelopes, heat consumption, heating costs, high-rise apartment block, economic analysis, sustainable construction

The paper investigates the possibility of obtaining a luminescent material by heat treatment of phosphogypsum at a temperature of 800 degrees Celsius. It is shown that it is not enough to achieve the result of heating the system to a given temperature, the luminosity of the samples is practically absent.For phosphogypsum subjected to heat treatment at a temperature of 800 degrees Celsius for 60 minutes, it was found that images obtained in the presence of 50-150% moles of citric acid showed the most pronounced luminosity. The luminosity of samples with starch in the amount of 50-75 mol% was worse (by about 50%). The use of coal as a reducing agent under given conditions led to the formation of samples with the lowest luminosity. An extreme change in the dependence of luminosity on the amount of the introduced reducing agent with maxima of 25-75% (mol.) was revealed. It is suggested that the luminescent ability of the reduced phosphogypsum is associated with the formation of the composite material calcium sulfate/sulfide.

Keywords: heat treatment mode, luminescent material, phosphogypsum recycling, reducing

This paper considers the development and training of a neural network model for the identification of the species and quantitative composition of pollen, which will subsequently be used to determine the botanical origin of honey and quantitative calculations of pollen grains contained in a certain mass of honey. The main purpose of the study is to create a model that can effectively distinguish the morphology of pollen grains present in honey, determine their quantitative and qualitative composition, which will improve product quality control, as well as identify its botanical and geographical origin. For this purpose, similar works on pollen classification were analyzed. Pwtorch was chosen as the framework for creating a neural network model, which provides the possibility of detailed configuration of the model. The result of the work is a trained model capable of classifying pollen grains.

Keywords: neural networks, classification task, pollen classification, convolutional neural networks, PyTorch

The paper analyzes various approaches to identifying and recognizing license plates in intelligent transport networks. A deep learning model has been proposed for localizing and recognizing license plates in natural images, which can achieve satisfactory results in terms of recognition accuracy and speed compared to traditional ones. Evaluations of the effectiveness of the deep learning model are provided.

Keywords: VANET, intelligent transport networks, YOLO, city traffic management system, steganography, deep learning, deep learning, information security, convolutional neural network, CNN