This article presents a research study dedicated to the application of the YOLOv8 neural network model for road sign detection. During the study, a model based on YOLOv8 was developed and trained, which successfully detects road signs in real-time. The article also presents the results of experiments in which the YOLOv8 model is compared to other widely used methods for sign detection. The obtained results have practical significance in the field of road traffic safety, offering an innovative approach to automatic road sign detection, which contributes to improving speed control, attentiveness, and reducing accidents on the roads.

Keywords: machine learning, road signs, convolutional neural networks, image recognition

This paper examines the impact of regulations on cultural heritage protection zones on the cost of land plots intended for hotel accommodation. The application of the theory of fuzzy sets to assess the influence of cultural heritage objects on the value of commercial land plots is substantiated. The result of the study is a methodology for estimating the share of the value of a commercial land plot attributable to the presence of a cultural heritage protection zone, based on the methodology for determining easement fees and the theory of fuzzy sets.

Keywords: hotel, historical and cultural monument, phasification, market value, cadastral value, type of permitted use, term-set, restrictions of use, adaptation, sustainable development

In today's information environment, characterized by the increasing digitalization of various aspects of daily life, information security is of paramount importance. Many types of personal information, including identity, financial and medical records, are digitally stored. Organizations need to protect their intellectual assets, sensitive data and business information from competitors and insider threats. The synergistic approach of combining cryptography and steganography provides increased sophistication in analyzing transmitted data and reduces its vulnerability to attacks based on statistical analysis and other pattern detection techniques. Associative Steganography is a methodology that integrates the basic principles of steganography and cryptography to provide strong data protection. The development of a software application designed for associative file protection can be applied in a wide range of areas and has significant potential in the context of information security. In this article the prerequisites for creating this application are discussed, the program design of the application is described using UML (Unified Modeling Language) and aspects of its implementation are analyzed. In addition, the results of testing the application are investigated and further prospects for the development of associative steganography are proposed.

Keywords: associative steganography, stego messaging, stego resistance, cryptography, information security, Unified Modeling Language, .NET Framework runtime, Windows Presentation Foundation, DeflateStream, BrotliStream, MemoryStream, parallel programming

In this article, we delve into the contemporary identity of the mountainous region of North Ossetia, with a focus on its architectural and material framework. The architectural complex of North Ossetia is distinguished by its unique synthesis of four architectural fabrics or layers, each representing an architectural expression of its respective historical epoch. These architectural layers reflect the rich heritage and historical roots of the region, spanning from ancient times to the present day. Analyzing these layers allows us to understand how various historical factors and cultural influences have shaped the architectural character of the mountainous terrain. Understanding this synthesis of architectural fabrics is a key element in preserving and maintaining the identity of this region and its architectural culture. This research aims to contribute to a deeper appreciation of this rich architectural heritage and its role in the modern world.

Keywords: Architectural appearance, identity, traditional architecture, architectural layer, mountain settlement

The article presents the results of a study of the use of reinforcement in glued wooden elements of a circular mesh vault. The use of reinforcement in flat wooden structures has proven itself well, but the possibility of using reinforcement in large-span spatial structures still remains little explored. A number of authors presented conflicting data regarding the increase in the bearing capacity and rigidity of reinforced wooden glued elements. In the proposed work, a numerical experiment was performed to compare various options for reinforcing elements of a circular mesh vault. 10 options for external and internal reinforcement of elements with various materials were considered. As a result of the analysis of the stress distribution in the section of the elements, it was revealed that external reinforcement is a more priority method of reinforcement in terms of the stress-strain state of the element. The dependences of the deflection on the height of the section and the area of the reinforcement were determined. The most appropriate solution in terms of material consumption, economic efficiency and corrosion resistance is internal reinforcement with carbon composite reinforcement.

Keywords: Circular mesh vault, glued timber, wood reinforcement, FRP, external reinforcement, numerical stress analysis, economic efficiency of reinforcement

The article deals with the application of load-bearing and enclosing structures made of glued wood for multi-storey, including residential, buildings. Introduction. The relevance of the construction of wooden multi-storey buildings is confirmed by quite a large experience of construction abroad. Also, there is an increasing interest in this industry in Russia at present. Theoretical numerical study and technical and economic evaluation of the results. The stress-strain state and technical and economic indicators of three structural schemes of the building are analysed in the proposed work on the basis of the theoretical study: frame scheme - full frame with bearing columns, floor and roof beams; combined structural scheme - vertical bearing elements are wooden columns, glued wooden panel is used as floor and roof; frameless structural scheme - all the structural elements are made of glued wooden panels. Conclusions. As a result, the most rational and economically favourable structural solution of a multi-storey building made of glued wooden elements has been obtained.

Keywords: glued timber structures, wooden multi-storey building, structural design, economic efficiency, stress-strain state

This paper deals with the development of automatic control system for sausage smoking chamber. Manual control of the smoking process can lead to errors and irregularity, so automation becomes a necessity. Smoking chamber control system works on two circuits - temperature and humidity. An automatic smoking chamber control system provides optimum conditions for smoking products. The paper presents the transfer functions for each circuit and the structural diagram of the control system. The coefficients used in the calculations were obtained from experiments conducted at a sausage production facility in Izhevsk. The paper analyzes the stability of the system by calculations and verification in the Matlab Simulink environment. Based on the verification, it was found out that the automatic control system of the sausage smoking chamber developed by us is working.

Keywords: smoking chamber, control object, humidity control circuit, temperature control circuit, automatic control system

The article is devoted to the development of training systems for training specialists in automation and informatization. The structure and mathematical model of a training system (TS) were developed to control skills in training these specialists (in particular, in the basics of programming). The parameters of the mathematical model are based on the representation of knowledge about the studied objects and processes in the field of development of automated information systems, which allows using TS to automatically generate and evaluate small practical tasks for students. A prototype of TS software in the form of a web application has been developed. In a practical aspect, the use of TS in the educational process in the disciplines in the field of programming will reduce the proportion of labor-intensive work of the teacher in compiling and checking assignments.

Keywords: information technologies in education, training system, control of knowledge and skills, high-level programming languages

The article presents the results of the development of research in the field of automated training of operators of technological processes (on the example of loading and unloading machines) on computer training complexes (CTC). A feature of the developed CTCs is an intelligent automated system (AS) for monitoring the formation of sensorimotor skills, based on mathematical models and algorithms for representing knowledge about the technological process, automated design of training courses for professional training of operators in a virtual production environment, and automatic assessment of the formation of skills. The use of CTC for training operators of loading and unloading machines based on an intelligent AS helps to improve the quality of the formation of professional skills for the effective and safe implementation of technological processes in various fields (for example, river and sea ports, construction, mining) based on the results of training courses.

Keywords: loading and unloading machines, technological process, computer training complex, professional skills, sensorimotor skills, intelligent automated systems

The article presents the results of the development of research in the field of automated teaching of foreign languages (on the example of English) on a mobile device with the IOS operating system. A feature of the developed simulator-training system (TOS) is the possibility of forming an individual approach to teaching students to improve the quality of education, using theoretical and practical material, based on the performance of the student. The introduction of TOS contributes to improving the quality of education due to the ease of mastering the material, as well as a clear control of the topics studied. The relevance of the developed application is determined by the popularity and availability of mobile devices, as well as the high prospects for the implementation of applications (in particular, in the field of education and self-education) for this platform.

Keywords: training systems, mobile devices, foreign languages, training, mobile application, IOS, Apple, information technology

The features of the mathematical, algorithmic and software of the developed simulator-training system (STS) for the control of visual modeling skills in the preparation of students in areas of automation, informatization, robotization are considered. The use of STS allows you to automatically generate individual options for practical tasks for the development and analysis of visual models, automatically evaluate the correctness of the tasks performed by students, form advising influences for the student (remarks and recommendations for a better understanding of the topic under study). The use of STS in the process of monitoring the initial skills of visual modeling in students will: reduce the need for manual compilation of a large number of options for tasks by the teacher and subsequent verification of the results of their implementation; improve the quality of education, taking into account the specifics of the areas of student training under consideration.

Keywords: information systems in education, training system, automated control of knowledge and skills, visual modeling, unified modeling language (UML)

This article describes the results of research on the possibility of detecting sunflower plants from photographs taken by a UAV. The solution to this problem will allow automated control of an important agricultural parameter - seedling density. The problem is complicated by the limited amount of training sample and "disturbances" associated with field weeding. As the result we obtain that the YOLOv5m neural network is capable on a sample of 122 pictures to qualitatively detect plants with an error of 0.077% of training. Artificially increasing the sample to 363 pictures reduces the learning error to 0.063%. Disturbances reduce the detection efficiency of sunflower plants in the test images. It is possible to increase the detection efficiency either by adding original images to the training sample or by artificially enlarging the sample.

Keywords: detection, YOLOv5, sunflower, seedling density, neural network

In a number of branches of agricultural production, including agriculture, land reclamation, etc., there are problems, the solution of which requires the use of artificial intelligence. In particular, the assessment of the reclamation state of agricultural fields in large areas is a very time-consuming task, even with the use of unmanned aerial vehicles. To automate these intelligent approaches, it is effective to use artificial neural networks (INS) implemented in the form of computer programs. The use of software as a service (SaaS) is a modern approach to computer support of various intelligent production processes, including agricultural. Agriculture is a promising industry for the introduction of such technologies. The aim of the study is to develop a methodology and create a cloud-based SaaS system for identifying defective areas of agricultural fields based on INS. The development of neural network technologies and cloud services makes it possible to process a large amount of information in the cloud and provide user access to computing power. The article describes the methodology of building a service architecture for recognizing problem areas of cultivated agricultural fields, data preparation, network training, development of client and server parts. Such implementation is possible with the use of such technologies and tools as CUDA, CNN, PyTorch. As a result, the strengths and weaknesses of their use for solving the problem of image recognition on the example of problem areas of agricultural fields were identified. It has been established that classification-type INS are capable of solving problems of recognizing the reclamation state of fields, and modern information technologies make it possible to transfer calculations to the cloud, while the cloud service can be monetized as a SaaS model.

Keywords: agriculture, color images, SaaS system, artificial neural network, image classification

Artificial intelligence methods can be used to solve the problems of agricultural production. Assessing the condition of crops in large areas, even with the use of unmanned aerial vehicles, is a time-consuming task. The peculiarities of the task of such an assessment are the multifactorial nature of the analyzed structures, which require the use of a systematic approach at all stages of the study from the formation of a database of color images to the intelligent solution of problems of their analysis. The results of the analysis of the U-net architecture of the INS and its limitations for the problem of image segmentation are presented. The purpose of the study is to substantiate the architecture of the segmentation artificial neural network (INS) to identify problem areas of agricultural fields. The hypothesis of the segmentation network advantage was tested on the DeepLabV3 ResNet50 architecture. Numerical experiments have established that the increase in the accuracy of segmentation of images of agricultural fields is constrained by the limited resolution and accuracy of manual markup dataset. The built architectures can be used as an algorithmic core for creating SaaS systems, while the performance of the used configuration of the INS can be crucial.

Keywords: color images, segmentation task, agropole plots, deep neural network, INS architecture, convolutional layers

The article shows the results of the dispersion analysis of natural dust in the steppe zone of the Volgograd region, obtained using a microscopic method. The integral functions and distribution of small particles in the selected samples after the application of the "dissection" method for particles up to 20 µm are presented.

Keywords: particle, dust, sample, dust of natural origin, dispersed composition, PM2.5, PM10, PM20