A new building structure is proposed - a welded steel I-beam with a prestressed perforated wall. The prestress in the beam is created by stretching the web and subsequent welding with chords. Before prestressing, holes are cut in the wall. Using the LIRA-SAPR software package, a model is proposed that can be used to study the operation of a prestressed perforated beam (PNPB) structure. The influence of various forms of voids in the wall on the change in the stress-strain state of steel I-beams prestressed by the wall drawing is studied. A preliminary assessment was made of the favorable effect of prestressing in a conventional perforated beam on the stress-strain state of beams with different forms of perforations in the web.

Keywords: steel structures, prestressing, numerical experiment, normal and shear stresses, bearing capacity

This article discusses the issue of the features of measuring and predicting changes in the surface electric field strength in the atmosphere. The results of measurements of the atmospheric electric field strength are presented. The possibilities of forecasting changes in the surface electric field strength, including the use of numerical models, as well as the use of measurement results as an indicator of dangerous weather phenomena, are considered. The prospects of using the prediction of variations in the surface electric field intensity to predict adverse weather events and the importance of monitoring the intensity of the atmospheric electric field for understanding global climate change processes and the impact of the electric field on human health and the environment are discussed. For the research, a model was created that allows predicting electric field variations based on meteorological data. The developed neural network has shown good results. It is demonstrated that the use of neural networks can be an effective approach for predicting the parameters of the electric field of the surface layer of the atmosphere. In further research, it is planned to expand the measurement area by including additional parameters such as temperature, pressure and humidity in the analysis, as well as using more complex machine learning models to improve the accuracy of forecasts. In general, the results show that machine learning models can be effective in predicting variations of the electric field in the surface layer of the atmosphere. This can have practical applications in various fields such as aeronautics, meteorology, geology and others. Further research in this area contributes to the development of new methods and technologies in the field of electric power and communications and to improving our knowledge about the nature of the impact of atmospheric electrophysical phenomena on the environment and human health.

Keywords: electric field, surface layer of the atmosphere, measurements, methods, forecasting, modeling of variations in field strength

The dynamic model of personnel management in a real estate agency is investigated. The structure of the management system includes a real estate company as a Leader and a realtor as a Slave. The relations between them are built on the basis of a hierarchy corresponding to the information regulations of the Stackelberg games. Motivation is used as a method of hierarchical management. Algorithms for achieving equilibrium in different information regulations are presented. The numerical implementation of these algorithms is based on simulation modeling, the results are analyzed.

Keywords: real estate company, hierarchy, simulation, stackelberg's game, stackelberg's game with feedback, motivation, leader, slave, dynamic system

This article defines the necessary characteristics of the collapse of a group of 10 vertical steel tanks with volumes of 15,000 and 20,000 m3

Keywords: oil industry, petroleum products, accidents, vertical steel tanks, collapse

The article discusses modern approaches to the calculation of embedded parts using the most common computing systems in the design environment. The main purpose of the work is a comparative analysis of the stress-strain state of the support plates and anchor rods when calculating in various computing complexes in order to obtain the most reliable and complete results necessary for the designer to ensure reliability when designing components of building structures. In addition to the above, the article focuses on ensuring the rigidity of the support plates, in case of compliance with which, the nodal structural element is able to withstand a single impulse impact.

Keywords: computing complexes, embedded parts, calculation methods, calculation situations, dynamic coefficient, strength indicators

The article discusses the methods and approaches developed by the authors for the recommendation system, which are aimed at improving the quality of rehabilitation of the patient during respiratory training. To describe the training, we developed our own language for a specific subject area, as well as its grammar and syntax analyzer. Thanks to this language, it is possible to build a devereve describing a specific patient's training. Two main methods considered in the article are applied to the resulting tree: "A method for analyzing problem areas during training by patients" and "A method for fuzzy search of similar areas in training". With the help of these methods, it is proposed to analyze the problem areas of patients' training during rehabilitation and look for similar difficult areas of the patient to select similar exercises in order to maintain the level of diversity of tasks and involve the patient in the process.

Keywords: Recommendation system, learning management system, rehabilitation, medicine, respiratory training, marker system, domain-specific language, Levenshtein distance

The article is devoted to modeling heating of fuel oil using a pulsed fluid flow in the SolidWorks Flow Simulation software module. In the future, the use of this technological solution can be considered by a number of industries in the Russian Federation and abroad. The purpose of this article is to describe the results of a computer model of the technological process under study. The computer calculation of the fuel oil heating model using a pulse flow makes it possible to evaluate the efficiency of the process and determine the optimal parameters to achieve maximum efficiency. This will help to reduce the cost of heating fuel oil and increase the efficiency of industrial equipment of enterprises.

Keywords: fuel oil, oil, coolant, shock unit, diaphragm pump, pulse flow, turbulent mode, cavitation, solidworks flow simulation

The paper describes the procedure for conducting a competition for regression models based on statistical data for the East Siberian Railway. At the same time, it is assumed to build a set of additive alternative versions of the model with the subsequent choice of the best option based on the involvement of a number of adequacy criteria. The unloading of wagons is singled out as the output variable of the model, and the input variables are: the average gross weight of a freight train, cases of failures of technical means of the 1st – 2nd category of operational nature, the working fleet of freight wagons. The implementation of the model competition allowed us to build over two hundred alternative options, from which the best alternative was selected using multi-criteria selection methods based in this case on a continuous criterion of consistency of behavior.

Keywords: railway transport, mathematical model, regression analysis, least squares method, model competition, adequacy criteria, multi-criteria selection

The researches directed on control by gelation, regulating of composition and properties of swelling up fireproof composite coatings (fireproof composites) for security of fire-resistant building constructions are presented. In-process on the basis of the topological analysis and gelation modelling component composition schungite in fireproof aggregates with demanded thermal and hardness in performances is optimised. The interconnection of structural performances, modifications of mineralno-phase composition and properties of fireproof aggregates is experimentally positioned at high-temperature impact. The rated-analytical method positions efficiency of fireproof aggregates for raise of flame-resistance of reinforced concrete constructions. The obtained data have allowed to develop representations about the gelation gear at interacting of corpuscles schungite in swelling up cement system at high-temperature heat and justify to approach to creation of effective fireproof aggregates for fire-resistant building constructions.

Keywords: fireproof composites, swelling up coatings, schungite, granulometry of components, composition optimisation, structure modelling, gelation of aggregates, mineralno-phase composition, properties of composite, fire-resistant of constructions

The article is devoted to solving the problem of organizing the separate collection of municipal solid waste. The obstacles that arise in the implementation of separate waste collection are analyzed. The existing foundations of waste sorting, laid down in the cities of the Republic, are considered. Variants of a system for the separate collection of municipal solid waste, which can be used in the Luhansk region, are proposed. Particular attention is paid to sorting complexes, which act as an auxiliary facility for optimizing the collection of certain types of waste and the recycling of secondary materials. As a result of the study, it was proposed to use such a method of thermal processing of municipal solid waste as pyrolysis.

Keywords: municipal solid waste, separate collection, sorting, heat treatment of waste

To create composite building materials with a polymer matrix, various fillers of both plant (wood-polymer composites - WPC) and mineral (mineral-polymer composites - MPC) origin can be used. The article evaluates the feasibility of using twelve different minerals in MPC from the standpoint of strength, cost and weight of the resulting materials in comparison with similar indicators of WPC. By sequentially considering each of the evaluated parameters, the sample of fillers is reduced by excluding combinations with characteristics worse than those of the reference material - a wood-polymer binary composite consisting of wood flour and polypropylene. It has been shown that one of the most effective mineral fillers can be waste from construction industry enterprises, as well as structures recycled during the demolition of buildings and structures.

Keywords: composite, matrix, filler, mineral, wood flour, dust, cost, volumetric weight, strength, elastic modulus, Poisson's ratio

The article discusses the features of constructing a special connection based on fiber-optic communication lines. An analysis is conducted on the reliability of using fiber-optic communication lines in terms of the possibility of unauthorized interception of transmitted information. The advantages of practical use of communication systems based on fiber-optic lines are presented. The methods of protecting fiber-optic communication lines from unauthorized access are considered, where the priority method of protecting information is encryption using various methods. In conclusion, the measures necessary for building a reliable communication system based on fiber-optic lines are emphasized.

Keywords: information, special communication, communication segments, public communication, optical fiber, fiber-optic lines, unauthorized access, encryption, communication system construction, cryptographic protocols

The development of a decision support system for evaluating a fashionable image of a person is described. This is done by selecting a set of visual attributes from an image and comparing this set with "fashionable" patterns. Fashion patterns are set by the user himself. These are images that are defined in the system as reference images. This paper provides an overview of decision-making methods, analyzes the relevance of decision-making systems in different spheres of society. The algorithm of the program and the tools with which the image is first preprocessed are considered, then the visual attributes are highlighted. The method of making decisions for different types of attributes is given. The comparison of colors in HSL notation is considered.

Keywords: decision support system, decision making methods, machine learning, Python, model learning, image, fashion, information and analytical system, k-means method

Research subject. The influence of the intensity of the light source and the direction of its beam on the process of object recognition by machine vision sensors - visible spectrum cameras and light detection and ranging systems (LiDAR) has been studied. Factors such as the intensity of light, its trajectory and the angle of the beam relative to the horizon are taken into account. Method. The solution to the problem of analyzing the ability of machine vision sensors to recognize the ArUco marker under conditions of various levels of illumination is based on empirical research methods. The main results. During the recognition of objects by a machine vision camera at a high level of illumination, a distortion of the light flux on the camera matrix occurred. Bugs in the operation of LiDAR were also found. Practical significance. Obtaining research results was used to develop a means of assessing a high level of assessment of a high degree of probability of detecting objects of sensory vision.

Keywords: machine vision, LiDAR, influence of light, empirical study

The article discusses the developed model for recognizing a clothing brand by image. The model not only predicts the type and brand of clothing, but can also determine their similarity. At the initial stage, a dataset was collected containing images of clothing from various brands with a total volume of 9,000 images. In this work, the ViT (Vision Transformer) neural network architecture was used, a model for working with images, which was presented by experts from Google Brain. The vit-base-patch16-224 model acted as a representative of the transformer architecture. Before training, all images were converted to black and white, and data augmentation was also used: image rotation by a random angle, mirror transformation. All photos have been normalized – pixel coordinates have been adjusted to the interval [0,1].

Keywords: neural network, model, machine learning, Vision Transformer, fashion industry, clothing brand prediction, clothing type prediction, brand similarity determination