The paper presents an analysis of existing issues in the subject area, upon which research findings are formed to enhance the quality of the tourist experience through the implementation of a software-mathematical complex aimed at generating personalized recommendations. The task of managing tourist resources is addressed by considering the decision support process through the introduction of multi-criteria optimization and fuzzy logic. Such mechanisms significantly improve the accuracy of forming personalized recommendations that meet individual user requests. As an individual algorithm, a method is proposed for introducing ontological hierarchical types of connections that capture generic and object-oriented relationships of tourism categories, characterizing the influence on tourist objects. In addition, to accommodate flexible, poorly formalized user requests, fuzzy logic mechanisms are introduced by implementing fuzzy evaluation scales. The paper presents a description of the implementation of the recommendation algorithm, which possesses scientific novelty and practical significance. A class diagram details the structure of the ontological hierarchical model presented in the work. Based on the provided research results, the effectiveness of the algorithm is tested through test calculations.

Keywords: tourism, tourism optimization, recommendation systems, fuzzy logic, multi-criteria optimization, mobile development

The article presents the results of a study devoted to the development of an identification subsystem for an industrial process operator in a mobile simulator used for training and monitoring professional skills. The functional requirements for the operator identification subsystem based on neural network technologies, the processes of user interaction with the personality recognition subsystem, and loading a reference image for further identification of the operator during training and monitoring on the simulator are formalized using visual models in UML notation. A prototype of the subsystem has been developed based on the Kotlin programming language and the TensorFlow library. The developed image analysis subsystem has a high speed of face detection and initialization, reaching less than 0.5 s, which makes it especially effective for real-time tasks where performance plays a key role. Local data processing on mobile devices ensures protection of user privacy by eliminating data transfer to remote servers, which minimizes the risks of information leaks. Optimization of power consumption ensures long-term operation on devices with limited battery capacity, which makes the system convenient and practical to use. The considered subsystem is planned to be adapted for monitoring the formation of skills for working on equipment during operator training on mobile simulators. The subsystem, based on VR/AR technologies, as well as a trained neural network, will analyze data on user reactions in real time.

Keywords: mobile simulators, neural networks, user identification, professional training, UML diagrams, TensorFlow

The article discusses the use of recycled materials obtained during the dismantling of facilities during renovation in St. Petersburg. The districts of St. Petersburg with "problematic" houses, such as panel "Khrushchev" and "ships" of the first type, are highlighted. Data on the types of waste, volumes of concrete scrap, features and applications of secondary rubble are presented. Examples of organizations in St. Petersburg dealing with waste recycling are given. The purpose of the work is to study the possibilities of recycling construction waste for reuse in construction and landscaping of the region.

Keywords: secondary materials, dismantling, renovation, concrete scrap, construction waste, recycling, crushed stone, sustainable development, St. Petersburg, ecology

The article is devoted to the design of a test automation system for the DBaaS Postgres Pro cloud database management manager. New approaches, concepts and definitions of the theory of test automation are formulated and old ones are updated. An analysis of modern tools widely used in commercial software development is carried out. The features of the system under test were studied, including the specifics of working with cloud computing and the Postgres DBMS. Based on the data obtained, an optimal technology stack was formed that is planned to be used in development, and functional requirements for the test automation system were developed. In practical terms, the use of this system on a DBaaS project will reduce labor intensity and speed up work at the testing and development stages, increase the efficiency of testing and the quality of the software product.

Keywords: software testing automation, DBaaS, cloud database, Postgres DBMS, GO programming language

The article is devoted to the development of automated information systems (AIS) for electronic document management in the educational field. Using the example of the process of accreditation monitoring of basic professional educational programs implemented in university departments, functional requirements, user algorithms and a prototype AIS (web system) for generating documents have been developed. The use of the considered AIS allows you to flexibly customize the structure of documents and data completion forms for accreditation monitoring, add and edit the required data about teachers in visual web interfaces, automatically generate documents based on information stored in the database, manage the life cycles of documents, evaluate the quality of the documents compiled. The labor intensity of working with documents is significantly simplified compared to existing business processes. The proposed approach can be applied to the development of document flow subsystems for various business processes of a university within the framework of educational, methodological, scientific and other types of activities of employees and, as a result, towards the creation of a unified AIS for electronic document management of the university, based on the integration of all subsystems. The described functionality and algorithms can be adapted to the creation of web systems for electronic document management of computer training complexes (CTC) for collecting and processing data on the progress of students, managing the life cycle of developing exercises for the CTC and performing them by trainees.

Keywords: automated information systems, electronic document management, information technologies in education, document life cycle, UML graphic notation

The production of ultra high molecular weight polyethylene (UHMWPE) is associated with significant dust emissions into the production room, so the aspiration system plays an important role in the technological process. The study of dust in industrial product waste released into the work area is one of the objectives of the ongoing research. This work provides information on the dispersed composition of ultra-high molecular weight polyethylene (UHMWPE) particles, and various graphs are constructed based on the data obtained. Data on the deposition rate of UHMWPE particles were obtained experimentally. A comparative analysis of the obtained data with theoretical data obtained using formulas was carried out.

Keywords: ultra high molecular weight polyethylene, UHMWPE, dispersed composition of ultra high molecular weight polyethylene, sedimentation rate of ultra high molecular weight polyethylene particles, method for studying the properties of raw high molecular weight

This study is devoted to the development of methods for the automatic assessment of the granulometric composition of ore after blasting based on data obtained from unmanned aerial vehicles (UAVs). Determining the size of ore fragments is an important step, since the effectiveness of subsequent crushing processes depends on its accuracy. Traditional methods of analysis use manual work, which requires considerable labor and is subject to subjective factors. The study examines modern machine learning methods and neural network architectures, such as Feature Pyramid Network (FPN), EfficientNet and SE ResNet, which can automatically and accurately segment images. As a result of the experiments, it was found that the VPN network with a pre-trained EfficientNet B2 base showed the highest IoU accuracy among the models.

Keywords: granulometric composition, FPN, Efficient Net, SEResNet

The study is devoted to the development of models, algorithms and software for computer training complexes (CTC) for training developers of automated information systems (AIS). The process of automated control of students' knowledge and skills using CTC in studying the mathematical support of AIS (using fuzzy modeling as an example) is formalized based on IDEF0 diagrams, and the process of assessing exercise performance as one of the control components. The advantage of CTC is that the teacher does not need to develop individual exercise options, since CTC configures the structure and complexity of the exercise and then automatically generates a unique version of the exercise for each student undergoing knowledge testing on the topic being studied. The student's performance is checked automatically by comparing the mathematical models of the student's solution to the task and the reference solution generated in CTC based on the problem statement. Algorithms for assessing task performance in fuzzy modeling exercises have been developed. A prototype of CTC has been created in the form of a web system with personal accounts for the teacher and the student. The developed concept and algorithms for monitoring knowledge and skills in fuzzy modeling using the CTC can be adapted for various disciplines in the field of mathematical, software, information and other types of support for AIS.

Keywords: automated information systems, mathematical support, fuzzy modeling, computer training complex, e-learning, distance learning

Relevance and goals. The article describes a project in the field of solving the problem of managing organizational systems through the development of a system for remote monitoring and control of spatially distributed objects using LoRa network technology. Materials and methods. The project provides testing and practical use of LoRa networks. The developed system consists of 3 main modules: Devices, server part, and client application. In turn, devices are divided into gateways and end devices. Results. An automated system for managing spatial objects was designed, gateway devices and end devices that form a prototype of the Internet of Things network were developed and tested, as well as the server part of an automated system for remote control of spatially distributed devices. Conclusions. The system was tested and debugged, and a streamlined system for remote monitoring and control of spatially distributed objects was obtained based on the concept of the Internet of Things using LoRa network technology. It is assumed that the results of R&D will be in demand in organizations whose activities involve the use of spatially distributed resources.

Keywords: Internet of things, management of geographically distributed systems, LoRa networks, geosystem approach, spatial data infrastructures

The drilling and blasting method is currently the most widely used for mining rocks. An indicator of the high–quality drilling and blasting operations is the uniform granulometric composition of the exploded rock mass - the percentage of oversized ore pieces should be minimal. The percentage of oversized and its increase have a significant impact on the technical processes of transporting rock mass, leading to an increase in the costs of loading and transportation operations and secondary crushing of oversized ore masses. The paper describes the results of a study of methods for determining the granulometric composition of drilling and blasting operations using neural networks of segmentation Unet and FPN. Images taken from UAVs are used for analysis. A method of classifying ore by size has also been developed, which ensures the accuracy of the proportion of correct answers of more than 0.91. The expected result of the introduction of the system for automatic determination of the granulometric composition of drilling and blasting operations is the possibility of more accurate control over the quality of their performance.

Keywords: granulometric composition, Unet, FPN, classification, segmentation

The above study is aimed at calculating the market value of a land plot free from development, located in the city of Vsevolozhsk, Leningrad region. The authors consider a comparative approach to the assessment of the object, its positive sides and disadvantages are indicated. The features of the implementation of the method of comparative sales and the construction of regression models are noted. The dependence of the cost of land plots on the distance from the local center in the territory of elite cottage development was revealed. Vsevolozhsk. The conclusion is formulated about the influence of a set of factorial features and the method of their accounting on the reliability and compliance of the result with the current situation in the real estate market.

Keywords: comparative approach, comparative sales method, correlation and regression analysis, real estate market, market information, price-forming factor, analogue object, real estate object, land plot, individual housing construction

In this work, the developed system for detecting areas with defects in the development of corn crops was investigated from a photograph taken by an unmanned aerial vehicle (UAV) using computer vision. To solve the problem of detecting such sites, the structures of the YOLOv5 and YOLOv8 neural networks were considered. The use of the developed software will reduce labor and time costs for image analysis, which in turn will reduce the response time when problem areas are detected in agricultural fields to achieve higher yields.

Keywords: instance segmentation, YOLOv5, YOLOv8

The paper describes the process of modeling 3D structures of synthetic gas burners, with the analysis of the simulation results obtained for several types of models and the selection of optimal modes for them. The main use of the burner is planned for boiler equipment for household needs in private as well as apartment buildings, in the absence of central heating. In addition, the article provides a justification for the thermal parameters at the inlet and outlet of the burner.

Keywords: synthesis gas, combustion, design parameters, combustion chamber, nozzle, modeling

The concept of a two-dimensional associative masking mechanism, introduced earlier and necessary for further consideration, is used to protect the data of cartographic scenes represented by point, linear and areal objects. The masking mechanism is the basis of associative steganography. In this case, the objects and coordinates of the scene are represented by code words in the alphabet of postal symbols and are masked with the further formation of stegocontainers. A set of masks is a secret key used further to recognize a scene represented in a protected form by a set of stegocontainers. The article deals with the organization of specialized DBMS for the protection of cartographic scene data with the introduction of two levels of such DBMS – server and client. Mono- and multicluster organization of request processing is offered for the server part of the DBMS. Practical recommendations on the use of mono- and multiclusters are given.

Keywords: associative steganography, masking, stegomessage, cartographic databases, parallel DBMS, mono- and multicluster, scene analysis, cryptography, stegostability, information security

The article provides an overview of the analysis and diagnosis of product surface defects, evaluated using digital image processing. The search for scientific publications was carried out mainly in the Scopus and RSCI scientometric bases for the period 2019-2023. The purpose of this article is to determine the best methods for assessing the destruction of materials using digital images. The main methods of processing and analyzing digital images are considered. The perspective of unification of segmentation modes by digital image acquisition sources and combining images from various recording sources to obtain objective information on the nature of material destruction is shown. To reduce the time for assessing the degree of destruction of materials, it is proposed to gradually use the methods of segmentation, filtering digital images of defects in metal products with subsequent calculation by a neural network.

Keywords: defect, control, digital image, neural network.