This article explores the introduction and implementation of neural network models in the field of agriculture, with an emphasis on their use in smart greenhouses. Smart greenhouses are innovative systems for controlling the microclimate and other factors affecting plant growth. Using neural networks trained on data on soil moisture, temperature, illumination and other parameters, it is possible to predict future indicators with high accuracy. The article discusses the stages of data collection and preparation, the learning process of neural networks, as well as the practical implementation of this approach. The results of the study highlight the prospects for the introduction of neural networks in the agricultural sector and their important role in optimizing plant growth processes and increasing the productivity of agricultural enterprises.

Keywords: neural network, predicting indicators, smart greenhouse, artificial intelligence, data modeling, microclimate

The article examines the unique symbiosis of modern technologies and national traditions, analyzes the stages of formation and development of the main directions of architecture development in the North Caucasus in the context of modern trends. The subject of the study is the architecture of the North Caucasus, taking into account modern design trends. The object of the study is buildings and structures, urban conglomerates of the North Caucasus region. The most striking example of this symbiosis is the new projects in the Caucasus, where architecture literally combines with the landscape, showing the unique interaction between man and nature. Thanks to modern construction methods, these buildings combine traditional architecture and modern construction technologies, creating a harmonious space. The architecture of the future, despite its subjectivity, has readability because culture and technological progress always affect architecture. In general, we can identify a number of features characteristic of the architecture of the future: cost-effectiveness, ergonomics, environmental friendliness and versatility. It is also necessary to mention new modern construction technologies, which include elements such as artificial intelligence, automation and robotization of processes, the use of 3D printing and digital modeling of building information (BIM).The symbiosis of modern construction and Caucasian culture is a unique combination of architecture of the past and the present. The synergy between modern construction technologies and traditional Caucasian culture can be very promising. It has the potential to simultaneously revive local cultural identity, contribute to sustainable practices, and create unique architectural designs that harmonize innovation and tradition. Historical forms and materials are actively combined with modern technology and materials, resulting in an architecture that simultaneously preserves its roots and looks to the future. This close interaction and symbiosis highlights the importance of culture in architecture and shows how innovations can be used to preserve and update cultural heritage.

Keywords: construction, architectural design, modern trends, energy efficiency, thermal protection of buildings, construction industry, ecology, green construction, architectural bionics, North Caucasus

Enterprises of the fuel and energy sector, in search of new environmentally safe and economically feasible processes, are introducing membrane technologies into the water treatment system. The main advantages of these methods are: technological simplicity of design, minimal use of chemical reagents, absence of phase transitions and neutrality of wastewater. But despite the rather significant advantages, the use of these processes for a long time can be aggravated by seasonal changes in the quality of natural water in the water source. In this paper, an analysis of the reverse osmosis plant was carried out based on the results of laboratory experiments on water quality indicators at the inlet to the plant and permeate. The average results for each indicator for the entire time of the experiment are also presented.

Keywords: reverse osmosis plant, permeate, seasonal changes in the quality of natural water, thermal power plants

The article presents the results of the calculation of a high-rise building, the load-bearing frame of which uses wooden structures. With a significant height of the structure, wind load begins to have a significant impact on the deformability of the frame. A calculation scheme is proposed, in which two options for applying wind pressure are considered - on columns and in floor beams.

Keywords: high-rise building, permanent loads, short-term loads, instantaneous loads, modulus of elasticity, stiffness, stress, displacement, CAD

The new socio-economic and political conditions of the North Bulgarian Renaissance (1762-1878) determined the way of life, the nature of relationships in society, and its material environment. The object of their influence was primarily residential development, which revealed a variety of architectural forms. Their volumetric and planning features are determined by new ideological and artistic views. At the same time, unity is revealed in architectural diversity, predetermined by local natural and climatic conditions, sustainable construction technologies, and the revival of ancient spiritual and historical and cultural traditions. This article analyzes the development of techniques for the architectural organization of a residential building in the context of settlement and chronology.

Keywords: Bulgarian Renaissance, natural conditions, socio-economic factors, historical background, natural landscape, space-planning schemes, residential architecture

The factors of sustainable development of a modern mining enterprise are considered. The main operating factors of the external and internal environment of the enterprise are determined. The basic conceptual provisions underlying the formation of an effective, modern, strategic platform for the formation of strategies for the development of a mining enterprise are considered. The possibilities of applying a particular strategy for the development of a mining enterprise are analyzed, depending on the combination of phases of rise or decline in the level of impact of factors of the external and internal environment of the enterprise. The algorithm developed by the authors of this work for choosing the optimal model of enterprise development is proposed, taking into account the phases of the impact of external and internal environmental factors and the development strategy of a modern mining enterprise chosen in accordance with them. Recommendations on choosing the optimal strategy for the development of a mining enterprise and building a development model based on it are proposed.

Keywords: mining enterprise, economics, risk management, innovative development, development strategy, ecology, social policy

This paper deals with the aspects of the ideological content of the architectural and engineering thought of the Shadow Tower Pavilion in Chandigarh, a structure without a definite function. A brief historical background is collected. Examples of similar constructions "without function" are given, principles and purposes of formation of architectural volumes of selected analogs are described. The influence of such structures from the point of view of ideology on the formation of architecture in a hot climate is considered. The significance of small architectural volumes in the context of large ensembles is emphasized.

Keywords: "Tower of Shadows", Capitol, Chandigarh, hot climate, Le Corbusier's "sunbreakers", natural sun protection, natural ventilation, design, artistic effect, climatic grid, functional conditions

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 problem of vulnerabilities in the Robot Operating System (ROS) operating system when implementing a multi-agent system based on the Turtlebot3 robot is considered. ROS provides powerful tools for communication and data exchange between various components of the system. However, when exchanging data between Turtlebot3 robots, vulnerabilities may arise that can be used by attackers for unauthorized access or attacks on the system. One of the possible vulnerabilities is the interception and substitution of data between robots. An attacker can intercept the data, change it and resend it, which can lead to unpredictable consequences. Another possible vulnerability is unauthorized access to the commands and control of Turtlebot3 robots, which can lead to loss of control over the system. To solve these vulnerabilities, methods of protection against possible security threats arising during the operation of these systems have been developed and presented.

Keywords: Robotic operating system (ROS), multi-agent system, system packages, encryption, SSL, TLS, authentication and authorization system, communication channel, access restriction, threat analysis, Turtlebot3

The article discusses various aspects of the organization of training of specialists in the field of information security on the basis of a cyberpolygon – a multifunctional software and hardware complex. The analysis of the essence of cyberpolygon as a computer learning technology within the framework of the digitalization of education and the formation of students' competencies, for example, digital culture and cyber hygiene, is given. Based on the analysis of the capabilities of the cyberpolygon for the training and retraining of specialists of various profiles, the requirements for the specifics of methods and means of training and assessment of their competencies are formulated. The problems of conceptual design of the educational content of the cyberpolygon, the need for a formalized description of the essence of competencies and their components, fixing cause-and-effect relationships for the scenario design of educational trajectories are discussed. Special attention is paid to the specifics of pedagogical design, the use of active and group approaches to learning, the need for role allocation in solving team tasks. New formal approaches to the conceptual design of the entities of competencies are proposed, taking into account this specificity, methods of automated distribution of participants by roles of educational projects and educational tasks, new conceptual models for assessing competencies based on covering them with suitable competence-oriented tasks. The proposed conceptual models formed the basis of the software architecture of the cyberpolygon information components for the management of educational trajectories and are presented at the level of design artifacts of the logical level of the cyberpolygon management system.

Keywords: cyberpolygon, information security, cyber hygiene, digitalization of education, digital culture, conceptual design, methods of automated distribution, competency assessment models, design artifacts

Among the vast range of tasks that modern advanced video surveillance systems face, the dominant position is occupied by the task of tracing various objects in the video stream, which is one of the fundamental problems in the field of video analytics. Numerous studies have shown that, despite the dynamism of processes in the field of information technology and the introduction of various tools and methods, the task of object maintenance still remains relevant and requires further improvement of previously developed algorithms in order to eliminate some inherent disadvantages of these algorithms, systematization of techniques and methods and the development of new systems and approaches. The presented article describes the process of step-by-step development of an algorithm for tracking human movements in a video stream based on the analysis of color groups. The key stages of this algorithm are: the selection of certain frames when dividing the video stream, the selection of the object under study, which is further subjected to a digital processing procedure, the basis of which is to obtain information about color groups, their average values and percentages of their occupancy relative to the object under study. This information is used for the procedure of searching, detecting and recognizing the selected object with an additional function of predicting the direction of movement on video frames, the result of which is the formation of the entire picture of the movement of the person under study. The materials presented in this paper may be of interest to specialists whose research focuses on issues related to the automated acquisition of certain data in the analysis of various images and videos.

Keywords: surveillance cameras, u2– net neural network, rembg library, pattern recognition, clothing recognition, delta E, tracing, direction prediction, object detection, tracking, mathematical statistics, predicted area, RGB pixels

The work is devoted to the problem of providing electrical energy to remote production enterprises in the absence of a centralized power supply. The purpose of the work is to develop decision support tools for choosing autonomous power generation projects from a large number of possible alternatives. To achieve this purpose, a hierarchy of criteria was constructed and a comparative analysis of existing technical and economic solutions in the field of small-scale autonomous energy was carried out. It is shown that when choosing a power generation project for a particular enterprise, there is a fairly large number of alternatives, which makes the use of commonly used decision support procedures based on the hierarchy analysis method/analytical network method (in the classical version) ineffective. An iterative procedure with dynamic changes in feedback between criteria and alternatives is proposed, which makes it possible to reduce the dimension of the supermatrix during the calculation process and, thereby, reduce the time complexity of the algorithms. The effectiveness of the proposed modification of the analytical network method is confirmed by calculations. The constructed procedure for selecting an autonomous power generation project makes it possible to increase the level of scientific validity of technical and economic decisions when expanding the production activities of small enterprises in remote and sparsely populated areas.

Keywords: autonomous power system, decision support, analytical network method

The article discusses the use of a recurrent neural network in the problem of forecasting pollutants in the air based on actual data in the form of a time series. A description of the network architecture, the training method used, and the method for generating training and testing data is provided. During training, a data set consisting of 126 measurements of various components was used. As a result, the quality of the conclusions of the resulting model was assessed and the averaged coefficients of the MSE metric were calculated.

Keywords: air pollution, forecasting, neural networks, machine learning, recurrent network, time series analysis

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

The article presents aspects of the development of a device for wirelessly picking up a vibration acceleration signal from the surface of a ball mill drum. The results of measuring vibration acceleration for a ball mill model for various levels of loading with crushed material are presented. According to these results, with an increase in the load of crushed materials relative to the ball, the level of vibration decreases. The work also presents the obtained pie diagrams of the distribution of vibration load across the mill drum, from which one can judge its current operating mode.

Keywords: ball mill, wireless signal, vibration acceleration, mill loading control