The relevance of creating a chatbot for advising applicants, promoting the university brand and raising awareness about the university is considered. The basic principles of the chatbot functioning are determined. Modeling of the sequence of processes using IDEF0 and UML is performed. The article contains a description of the chatbot algorithm. Activity and state diagrams are used to visualize this algorithm. The graphical interpretation of the logic of the interaction of the system elements is performed at the IDEF3 documentation level. A physical model for storing the data necessary for consultation is presented; the purpose of the tables obtained is described. The issues of fuzzy search by keywords are considered. The article describes the error correction process using the n-gram distance metric and the Damerau-Levenshtein metric. The functioning of the chatbot in the consultation mode when searching for keywords with errors in the user's message is demonstrated.

Keywords: chatbot, dialog system, messenger, natural language processing, fuzzy search, Damerau-Levenstein distance, n-gram

This article describes training a neural network to recognize the digits of a freight container number. Due to the lack of a dataset containing a cargo container, training was performed on the Street View House Numbers dataset. Before training the model, the dataset was analyzed and histograms were built that reflect general information about the dataset. The neural network was trained in the Python programming language using the Tensorflow library. The obtained results of assessing the accuracy of the model operation allowed us to conclude that it is possible to use a data set and a neural network to solve the problem of recognizing the numbers of a freight container.

Keywords: machine learning, digit recognition, cargo container, neural network, image classification

The work is devoted to ensuring the completeness of mixing of gas coolants into a direct-acting heat exchanger by optimizing the geometry of the mixing chamber, in particular the addition of a funnel. Four funnel configurations in the range of 45°-180° are considered. The problem is solved in a stationary formulation by numerical simulation in the OpenFOAM environment. A 14-fold increase in the uniformity of mixing is shown when using a 45° funnel compared to a cylindrical mixing chamber.

Keywords: heat exchanger, mixing heat exchanger, efficiency improvement, outgoing flue gas, numerical modeling, heat recovery

The bimetallic iron-bronze powder material obtained by wedge hot compaction is considered. A hypothesis is formulated, confirmed by the results of experimental studies, about the determining effect of volumetric deformation of the powder material of the iron base in the process of wedge hot compaction. The concept of an indicator is introduced and a 2D Impulse model of the quality of consolidation of heterogeneous powder layers is constructed from the absolute values of the volumetric deformation of the iron base. As a result of the analysis of the constructed 2D Impulse model for the transition zone of a bimetal obtained by technology including sintering, the absolute value of │0.21│ of the critical volumetric deformation was established, which ensures the transition from satisfactory to good quality of consolidation, taking into account the introduced quality scale. For technology that does not involve sintering, the absolute value of │0.171│ of critical volumetric strain, equal to the parameter "c" of the model, characterizes the transition from unsatisfactory to satisfactory quality of consolidation.

Keywords: diversification of management, production diversification, financial and economic purposes of a diversification, technological purposes of ensuring flexibility of production

In this paper, a mathematical model of a wind generator similar to the Darya rotor has been developed. The fast turbine rotation mode or autorotation mode is considered. Using the averaging method, the value of the steady-state angular velocity of the wind turbine in the autorotation mode is obtained. A set of programs has been written in the matlab computer system and numerical counting results have been obtained. They are compared with analytical estimates. A parametric analysis of the geometric dimensions of the wind turbine was carried out to obtain a given power. The advantages and disadvantages of this design in comparison with other types of wind turbines are shown. As a result of these calculations, it can be concluded that Darye wind turbines will be effective only for obtaining small power and at small sizes. Large devices fail too often and their maintenance is too expensive.Large devices require too expensive maintenance.

Keywords: wind turbine, autorotation mode, stability, geometric dimensions

The article is devoted to the issue of increasing the efficiency of ventilation systems through the use of a new type of air ducts. The main advantage of microperforated textile air ducts is the possibility of supplying fresh air with laminar micro jets to the human breathing zone. The need to adapt the existing methods for calculating the main parameters of jets for the laminar regime is noted. The article presents the results on the development of a mathematical model of a stationary boundary layer for the numerical calculation of the movement and heat and mass transfer of air in a laminar microjet. A discrete analog of the generalized differential equation is derived, on the basis of which a software package is developed that allows one to determine the main parameters of laminar microjets. Verification of the developed software package was carried out, the discrepancy with the known engineering method was less than 3%.

Keywords: mathematical modeling, air exchange, microperforated textile air duct, microperforation, laminar jet, control-volume method, round jet, micro jet

This article discusses the solution to the problem of calculating the processes of crystallization of metal drops in the process of blowing the melt with gas in the production of powders. Calculations of the drop formation process and estimates of the phase transition time and until complete cooling are given depending on the particle size in the range of 50-500 µm with preheating of the gas flow to various temperatures from 0 to 500 degrees C. A technique has been developed for calculating the cooling time of a drop of molten metal in a gas flow during the production of metal powder by the sputtering method, and the ratio of the components of the total drop cooling time has been determined.

Keywords: metal powder, melt spraying, particle cooling, gas flows, heat transfer, additive technologies, technological process, gas dynamic process

The main maintenance of a diversification of production as activity of subjects of managing is considered. being shown in purchase of the operating enterprises, the organizations of the new enterprises, redistribution of investments in interests of the organization and development of new production on available floor spaces. The most important organizational economic targets of a diversification of management are presented by innovative activity of the industrial enterprise.

Keywords: mathematical modeling, fiberglass, composite material, system, numerical simulation, finite element method.

The article explores the problematic field associated with the political steps of the countries of Russia, the USA and the EU in the development of the Arctic shelf from the position of control over the division of both the Arctic spaces and from the point of view of positioning this territory as a strategic resource base. What are the likely geopolitical consequences that such changes may cause? Separately, the paper notes that at present there is a need either for investments in renewable energy sources, which can be considered as an effective way to eliminate the risk of heavy dependence on oil, or the development of Arctic spaces by countries.

Keywords: global problems of our time, cognitive modeling, resource base, risks of dependence on oil

This paper describes the results of modeling thermal processes and air flows occurring in a universal power source (UPS) with a digital control system for output parameters under given operating conditions. The UIP is intended for scientific research in the field of electrochemical copper deposition in order to form through and via holes in printed circuit boards, three-dimensional microassemblies, metallization of epoxy resins, and organic materials. The article discusses the features of the development of a universal power source, presents the key results of the design and study of the thermodynamic characteristics of a prototype sample.

Keywords: universal power supply, microcontroller, computer aided design, printed circuit board, efficiency factor, computational fluid dynamics, mechanical computer aided design, electrical computer aided design, design rule checking, finite element method

The article provides a general overview of current information about the applied artificial intelligence technologies in outer space. The main role and effectiveness of the use of Russian intellectual developments in the space sphere are outlined. The popular modern developments of scientists who are engaged in research activities in the field of artificial intelligence in space are shown. Excerpts from articles proving the prospects for the development of artificial intelligence in the life of society are presented.

Keywords: outer space, space stations, artificial intelligence, intelligent systems, artificial intelligence technologies, artificial intelligence, neural networks, research, machine learning, neural network technologies

The most significant advantage of composite structures compared to structures made of traditional materials is the ability to control the characteristics of the structure in order to obtain an optimal design. In the general case, the initial physical characteristics of the material of the composite structure are random variables. Consequently, the required quantities (stresses, strains, critical loads, etc.) are also random variables. The problem of statistical modeling of a composite structure is ultimately reduced to the problem of transforming random variables. To solve this problem, the Monte Carlo method is used. The object of study is a multi-walled plate under the action of compressive loads. The purpose of this work is to construct point estimates of the coefficients of both general and local stability for a multi-walled plate, as well as to test statistical hypotheses about the equality of the stability coefficients to their theoretical values. The initial parameters are the elastic moduli in the longitudinal and transverse directions, as well as the shear modulus of the construction material. The following were used as output values: sample mean, standard deviation, skewness and kurtosis coefficients. All calculations were carried out in the environment of the MAXIMA package. It is shown that the distribution of the overall stability coefficient practically does not differ from the normal distribution. The coefficient of local stability has a slight positive asymmetry and a steeper peak compared to the normal curve. The results obtained allow us to conclude that the spread of the elastic characteristics of the material does not significantly affect the coefficients of the general and local stability of the multi-walled plate.

Keywords: statistical modeling, statistical hypothesis, multiwall plate, stability, critical load, composite material

A model of interaction between a railway and a seaport has been developed in the presence of a governing body. Interaction functions are described for the proposed model, analytical solutions for the static model are found, and the simulation speed is compared without and with the use of analytics. Next, a dynamic model is considered and an algorithm for finding an equilibrium for this model is proposed. The subsequent use of parallel programming methods will make it possible to plan interaction in this model to a better extent.

Keywords: mathematical model, simulation modeling, Stackelberg equilibrium, hierarchical game, mixed transportation, railway transport, port

The article solves the problem of determining the influence of the use of gas swirlers with various options for combining the direction of the channels on the velocity and temperature of the plasma flow. A comparative analysis of the use of gas swirlers with channels that are directed in one direction and in the opposite direction is carried out. The problem was solved by conducting a computer experiment by the finite element method using the SolidWorks software package. The results of the calculation experiment were verified by conducting a full-scale experiment using an experimental plasma installation, which is used to obtain powder, apply coatings and modify product surfaces, taking into account its design features. Recommendations for the conduct of these processes are proposed. The results are of practical use for developers and consumers of process equipment. In the case of using gas swirlers in which the channels are directed in one direction, the temperature and velocity of the plasma flow are higher than in the case in which the channels are directed in opposite directions. For the coating process, it is recommended to use the option of orienting the channels of gas swirlers in one direction, since the highest values of the velocity and temperature of the plasma flow are achieved, which favorably affect the properties of the applied coatings. For the production process of powders, it is recommended to use the option of orienting the channels of gas swirlers directed in opposite directions, since a lower plasma flow velocity is important for this process, which has a positive effect on reducing the dimensions of the installation and spheroidization of powder particles. For the surface modification process, the results of the study can be used to determine the rational position of the treated surface.

Keywords: mathematical model, plasma flow, temperature, speed, gas swirler, plasma method, powder production, coating, surface modification

Investigation of ways to accelerate the training of neural networks using genetic algorithms and the study of the dependence of the speed of genetic algorithms on the mutation rate. In this study, a program was implemented on the Unity graphics platform using genetic algorithms and mutations to determine their optimal coefficient. The experiment showed that the learning rate really depends on the mutation rate, and the highest learning rate was obtained at 5-7,5%.

Keywords: machine learning, deep learning, genetic algorithm, optimization, neural network, artificial neuron, mutation, artificial intelligence, non-player character, optimization

The purpose of the work is to show the influence of the works of Nikolai Orem on the formation of the science of dynamics. Methods. The paper shows that the study of motion led N. Omer to the conclusion that the sum of the harmonic series, which gives an estimate of the traveled path of a uniformly tired traveler, diverges. This proved that the traveler would walk any arbitrarily long distance. The connection of the model proposed by N. Orem with the zeta function and similar paradoxical models in which the path turns out to be finite, despite the slowdown or acceleration of movement, is considered. Result. The trajectory of the wayfarer Orem is demonstrated according to the Riemann formula. Links to training servers with dynamic models animated in 3D graphics and built using the ""live book"" technology are provided.

Keywords: Orem's wayfarer, zeta function, zeros of the function, Riemann problem

The article describes the possibilities, advantages and differences of machine learning systems without a teacher from template learning. The definition of clustering is also given, indicating the main methods and tasks solved by this machine learning algorithm. The algorithm for recognizing data from documents using OCR technology is described in detail, the goals and objectives of using OCR technology in the business processes of IT companies are formed. The following are tools for solving the problem of recognizing and clustering data from PDF document scans using the Nanonets and Tesseract machine learning libraries. In conclusion, this article describes the advantages and disadvantages of using these libraries in solving the problem of recognizing and clustering data from document scans.

Keywords: machine learning, clustering, data recognition, library Nanonets, library Tesseract

The algorithm and code listing of the developed self-learning chatbot are presented. Able to maintain a conversation with the user, switch to training mode in the absence of the necessary information, analyze the context of the conversation for "forbidden" words. The Trim function is used, which removes extraneous characters represented in the tr property. And also an additional option "Solve arithmetic problems" is implemented in case of a request from the user. When implementing the latter option, a recursive descent algorithm based on three nested recursive functions was used, while the binary tree is filled in. A function has been developed to divide the incoming string into tokens. The chatbot code is developed in C++/C# based on the principles of object-oriented programming with the development of classes.

Keywords: artificial intelligence, machine learning, voice assistant chatbot, learning mode, tokens, recursive descent, binary tree

The main criteria for evaluating the efficiency of operation of heating networks and points are considered, and the task of their modernization through the reconstruction and introduction of digital technologies is set. The following criteria were selected as evaluation criteria: reliability criterion - integral shortage undersupply of thermal energy, thermal energy quality criterion - pressure losses, economic efficiency criterion - technological heat losses in the network, physical condition criterion - network wear coefficient. The parameters of the existing heating network of the district boiler house No. 1111 in Volgograd were analyzed. Using a multicriteria model, taking into account the uncertainty of heat loads, using a multiplicative criterion, the optimal variant of the order of reconstruction and modernization of network sections and heat points was obtained. A mathematical model of the fuzzy set of the decision efficiency criterion is considered, and the modal value of the functional is determined using an algorithm written in the Python language.

Keywords: modernization, criteria for evaluating the efficiency of operation of thermal networks, methods for evaluating decision-making, multi-criteria optimization, criterion for the effectiveness of decision-making, fuzzy set, triangular fuzzy number

The article researches the influence of the length of Ni-nanotubes on the anisotropy of the mechanical properties of nanotubes using the Young's modulus as an example. In this case, the influence on the anisotropy of both the single-crystal symmetry of the structure and the predominant spatial distribution of crystallographic axes is taken into account.

Keywords: anisotropy of mechanical properties, elastic constants, Young's modulus, anisotropy parameter

The development, development and reorganization of territories for civil construction projects is often associated with problems of control and protection against erosion processes. Territories previously considered inconvenient are now subject to intensive development. The investment attractiveness of such territories is very high, so it is necessary to carry out engineering preparation measures, including those to protect it from erosion processes. Studies show that the most environmentally friendly structures to prevent erosion processes are geocomposite systems created on the basis of anti-erosion geosynthetic materials. But before applying any measures to stabilize erosion processes, it is necessary to understand the process of interaction between the methods used and the surfaces to be protected. The article considers the zoning of coastal slopes, as the most vulnerable to the impact of erosion of territories in cities, on non-flooded, partially flooded and permanently flooded zones. Accordingly, this division was made in order to determine the possible impacts on the structures of geocomposite systems. Each impact (hydraulic, snow, ice) is described using mathematical modeling, indicating methods for calculating the stability of the geocomposite system for the zones identified in the study. It has been established that the strength of a geocomposite system also affects its stability, therefore, when determining the overall stability of a geocomposite system, the concept of its tensile strength is introduced. The presented materials are of great importance in practical application. This is due to the reduction of material and labor costs for the implementation of anti-erosion protection measures when applying the results of this study. Further research is aimed at optimizing the design of anti-erosion protection based on geocomposite systems in order to organize their mass production and create standard industrial designs.

Keywords: erosion protection, geocomposite systems, inconvenient territories, zoning, mathematical modeling, stability of geocomposite systems

The assumptions of mathematical models for calculating the crack resistance of reinforced concrete structures are considered. For each of them, an analysis was carried out to determine whether they correspond to reality throughout the entire life cycle of the structure: from the hardening of the concrete mix to destruction. Based on the results of the analysis, it was proposed to use only one single calculation at the level of standards to assess the crack resistance of structures - according to the crack opening width, acrc. So, for example, at a certain value of acrc, the structure will still remain airtight (the cracks will be non-through), and if this value is exceeded, it will not. At the same time, the calculations already available in the norms for limiting permeability and the safety of reinforcement will still remain in demand. At the junction of the theory of damage accumulation and nonlinear fracture mechanics, a compressed algorithm is proposed for possibly taking into account the influence of cracks at all scale levels of the concrete structure, the key for which is the normalization of the statistical parameters of the distribution of discontinuities by diameters, lengths, openings, depths, directions, distances between discontinuities, etc.

Keywords: reinforced concrete, crack resistance, cracking moment, crack width, plasticity coefficient, damageability, non-linear fracture mechanics

The article describes ways to equalize temperature differences in the material after preheating in the heating zone. A mode for changing the temperatures of the material and the furnace channel has been developed. The optimal length of the firing zone and the time of passage of the material were established, at which a constant temperature is maintained on the surface of the material. Values for optimizing the main parameters are given.

Keywords: firing, tunnel kiln, temperature equalization

This paper describes the development of a hybrid system for recognition of various types of personal data in unstructured texts in Russian language. The system is based on neural network and regular expressions. Regular expressions were used to detect structured entities such as telephone and passport numbers. In order to detect named entities, including persons, locations and organizations, the neural network was used. For training and validation, a specialized Russian-language dataset for named entity recognition was created based on Nerus and WiNER labeled datasets. The proposed neural model is using contextualized ELMo embeddings and includes bidirectional LSTM layers with conditional random field layer (ELMo-BiLSTM-CRF). The performance of the resulting model was analyzed on the validation set, including accuracy on individual classes. During the evaluation, 4 different metrics were used, including precision, recall, f1-score and macro-f1. For more detailed analysis, a confusion matrix was created. The resulting hybrid model can be utilized to reduce the cost of storing and processing textual data, as well as preserve user privacy in case of leaks.

Keywords: personal data, natural language processing, named entity recognition, conditional random field, neural network, recurrent neural network, regular expression

Determination of pile bearing capacity located in collapsible soils. This work simulates the tests in the Plaxis 2D software system, and also determines the bearing capacity in accordance with paragraph 9.9 of SP 24.13330.2021 Pile foundations. Modeling of three capacity tests lead to recieve different results according to chosen method of tne results evaluation. Based on the results of the article the imperfection of the current Russian regulatory document in the field of field testing of piles was revealed. However comparing of the test results was made with analytical calculation of pile bearing capacity.

Keywords: collapsible soils, pile bearing capacity, pile tests, finite element modeling, Plaxis