The article studies the relevance of online tutoring, considers various existing systems for organizing online tutoring, identifies their strengths and weaknesses, and identifies the most relevant functions of the considered services. The design of the architecture of the developed software product is considered. The goals for further research are defined.

Keywords: online tutoring, tutor, online learning, design patterns, application architecture, information system

The main content of the diversification of production as the activity of business entities is considered. manifested in the purchase of existing enterprises, organizations of new enterprises, this article proposes a method of using GIS to optimize the sewage system of critical areas. The nearby territory of the Volgograd Arena stadium was chosen as the site of work.

Keywords: ArcGIS, Storm and Sanitary Analysis, Civil 3D, Sewage.

The specifics of web-oriented information systems are considered, the stages of the life cycle are determined taking into account their specifics. The analysis of modern cloud Internet technologies providing storage, management and distributed shared access to information resources is carried out. Examples of cloud Internet services are presented, the capabilities of which can be used at the stage of planning and managing IS, design, development of the client and server parts, testing, and also supplemented with the functionality of Internet services for time management, presentation of results, data collection, work on documents, online communication at meetups. Conclusions are drawn about the possibility of creating a flexible space for joint work of a team of distributed developers.

Keywords: web-oriented information system, life cycle, life cycle model, planning, design, design, development, testing, cloud internet service, distributed team

English is an analytical language, so in English, the word order is important for understanding sentences and phrases. Practicing construpcting noun phrases with the correct order of adjective requires constant practice with feedback. As teachers' time for verifying assignments is limited, we propose to use a tutoring system, which can generate step-by-step feedback. It will help students develop the skill of arranging adjectives in the correct order.

Keywords: tutoring system, ontological modeling, natural language processing, English, adjective order, hypernyms, automated verification of the learners' answers

This article analyzes the problems of spatial, temporal and phase synchronization in non-cooperative passive bistatic radar coordinate meters, which make it difficult to detect weak objects. The method of time and phase synchronization based on the estimation of the parameters of the direct wave signal and the method of detecting weak objects, which consists of a long coherent accumulation of signal parameters, are investigated. A universal algorithm is proposed, which consists of two stages: extraction of direct wave pulses and parameter estimation. Based on the estimation of parameters and waveform, an algorithm for detecting weak targets based on the generalized Fourier transform is given.

Keywords: non-cooperative passive bistatic radar, algorithm, synchronization, pulse, generalized Fourier transform

In the presented work, a hybrid neural network is proposed, which combines quantum and classical computing, and is intended for use in image classification. The hybrid neural network is implemented on the basis of a classical convolutional neural network using a quantum circuit. Also, within the framework of this study, a comparison was made of various configurations of a hybrid neural network in which a different number of qubits were used. The hybrid neural network configurations were trained and tested on the CIFAR10 and CIFAR100 datasets. Comparison of the performance of a hybrid neural network for multiclass classification was carried out for a different number of classes (from 2 to 10) with the corresponding number of qubits (from 2 to 4). The results obtained during the experiments confirmed the possibility of using a hybrid neural network to solve the problem of multiclass classification.

Keywords: machine learning, deep learning, quantum machine learning, quantum computing, hybrid neural network, image classification, convolutional neural network, quantum circuit

The search for orthogonal and quasi-orthogonal matrices is considered as a sequence of setting initial conditions, choosing an implementation method, filtering a set of generated sequences. It is proposed to accelerate the search for matrices by pre-fixing their structure and filtering the generated sequences using the Fourier spectrum. Fixing the structure involves using the symmetry properties of the desired matrices. Filtering allows you to exclude sequences with explicit spectrum outliers when forming blocks of symmetric matrices.

Keywords: mining of matrices, Hadamard matrices, Propus conctruction, filtering sequences

The article analyzes the influence of an air cushion vehicle as a source of dust on the general and local picture of the dust situation in an industrial premises and assesses the significance of the increase in the concentration of dust particles in the dust and gas environment. A model for measuring the dustiness of the working area of industrial premises using a special set of high-frequency bandpass filters and a PC is proposed. Determination of dust content in industrial premises is carried out by the received spectrum of the acoustic signal, which is a "frequency portrait" of the concentration of dust particles in the dust and gas environment.

Keywords: industrial premises, transport vehicle, concentration of dust particles, measuring complex, ultrasonic signal, dustiness spectrogram

The piezoelectric element is one of the most popular electronic components in use, which are used as part of many electronic devices. These devices are very effectively used in medicine, education, construction, oil and gas industry, military equipment, metrology and many others. They are part of devices that provide diagnostics of various human organs, measurement of the flow of pumped liquids and gases that utilize mechanical energy of a person and vehicles for the purpose of its subsequent conversion into electrical energy. In order to obtain a piezoelectric effect, it is necessary to indicate certain effects on the crystal. Such effects include: application of excessive pressure; compression; stretching; torsion. The criteria that affect the effectiveness of multilayer piezoelectric converters are discussed below.

Keywords: piezoelectric effect, Piezoelectric elements, Matlab, technical characteristics, operational properties

The paper discusses the problem of building a unified system for a metallurgical enterprise that integrates heterogeneous information systems of various purposes, such as Computerized Information Systems (CIS), Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), and Process Automation Systems (PAS). Data exchange with various automated systems of the enterprise is carried out by a special Data Exchange Module with Automated Systems of the Enterprise (DEMAS), which is implemented as a web service. DEMAS aims to ensure guaranteed information exchange between information systems and store information in a single data repository.

Keywords: information system, engineering process, metallurgical company, integration, web-service

This paper considers the modern classification methods of breast cancer histopathology. The main purpose of the study is to conduct an extended test of the trained model on data that fundamentally differs from the training dataset. We chose a large Russian dataset with different types of classification as the training dataset. The dataset contains images with different resolutions and magnifications. As testing data, the same dataset was used, but the resolution, color balance, brightness, and contrast of the images were changed. The classes in the dataset were unbalanced, so we applied augmentation methods (flipping and rotation). The models ResNet 152, DenseNet 121, Inception_resnet_v2 were selected for training. The transfer learning approach was used for training. The preprocessing of images consisted of normalizing the values of all image channels in the range from 0 to 1. The models had good results with standard testing methods. The resolution change slightly reduced metrics. The change in color balance, brightness, and contrast significantly reduced all metrics. The test results show that elementary normalization is not enough for high-quality training of models resistant to changes in input data.

Keywords: neural network, model, machine learning, breast cancer, cancer classification, artificial intelligence, transfer learning, histopathology

The objective of this study is to determine the patterns of development of new information technologies in the industry and formulate the main barriers to their introduction into project activities. The study of the issue was carried out on the basis of scientific publications of domestic and foreign researchers. The main theoretical methods are used: analysis, classification, analogy and synthesis. This article makes a comparative analysis of the use of modern technologies in European countries according to the "center-periphery" scheme and shows the similarities of information processes between Russia and European countries. The success of promoting innovative developments in the construction sector depends on: the presence of major players in the construction market, government support, the introduction of new educational standards, standardization of information modeling. The main obstacles are related to the compatibility of all processes in one digital space, legal and legal norms, issues of training and education.

Keywords: building information modeling, government order, BIM standardization, construction education, innovation, international experience

The article considers the practical part of the implementation of the task of determining the relevance of training directions, using the example of the direction "Applied Informatics", possible professions and companies for the employment of graduates by comparing the skills obtained in the framework of training and the requirements of the labor market. The results of the practical testing of the formalized model will be used as part of the module of digital tools for remote career guidance.

Keywords: service requests, vacancies, demand for training areas, career guidance, digitalization of career guidance activities, job search services

To achieve effective communication in the process of human-machine interaction, polymodal user interfaces are used. The article classifies typical interface elements corresponding to various communication channels in order to identify the composition of elements for the implementation of a polymodal interface that provides the ability to display the user's professional activities. Taking into account the above classification, a model of the interface structure is proposed that reflects the logic of the user's work.

Keywords: polymodal interfaces, user interface, classification of interface elements, interface model, typical interface elements, technical systems, information systems, communication channels, modality

The article discusses the methodology for organizing the use of the user interface design module by the end user on their own. One of the main stages of the methodology is the user's description of his professional activity. To implement this stage, the functional structure of the module for generating a description of the activity by the user, a description of its components (submodules) and the composition of the main algorithms are given.

Keywords: design, user interface, user activity, activity model, functional structure, user activity description generation module

The article deals with the problems of communication between the customer and the development team in the process of designing information systems. Based on the identified shortcomings of existing solutions, a conclusion is made about the need to develop a new approach and means of its implementation. The paper sets the task of developing a common model for the interaction of subjects using a single platform. The article describes the concept and modular architecture of the platform for implementing the system notation for designing architectural schemes. The modules of such a platform and its general functionality are considered.

Keywords: information system, life cycle, developer, end user, architectural scheme, basic abstraction, subject area, systems design

The article provides an overview of wearable devices that improve the quality of user recognition of objects of the surrounding world, reveals the process of developing an intelligent module for recognizing objects of urban infrastructure for "sound glasses" - a device designed for blind users. The functionality of the module under development, its architecture is characterized, the process and results of neural network training for object recognition are described, and an algorithm for identifying the color of traffic lights is given. The results of testing the developed software module are presented. The software module created in this work is an integral component of a fully functioning device "sound glasses", the use of which will allow people with visual disabilities to get information about events and the surrounding environment and navigate even in an unfamiliar environment.

Keywords: computer vision, neural network, smart glasses, sound glasses, visually impaired, YOLOv5, object recognition

The work is devoted to the glaciers of the North Caucasus. The factors influencing the dynamics of the glacier area are analyzed, and the principles of the organization of observations of glacier fluctuations are considered. The level of modern development of the field of remote sensing provides an excellent opportunity for a detailed and accurate study of the dynamic characteristics of the surface layer of ice on glaciers based on cartographic animations of a number of images. The work is based on data from space monitoring using the Meteor-M No. 2 apparatus.

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

This paper describes the development of a recommender system for the selection and configuration of deep neural network models. Her key area of work is evaluating the effectiveness of a neural network for a particular type of problem. The recommender system designed within the framework of the repository allows for precise search, selection and flexible configuration of neural networks depending on specific project-oriented tasks.

Keywords: recommender system, machine learning, deep learning, neural network model, expert system, neural network, repository, spatial data, geographic information system, configuration, architecture

In this paper, based on Russian and foreign experience in mathematical modeling of photovoltaic installations, the authors consider the approaches to the construction of these models. The relevance of the research is confirmed by the wide spread of electric energy sources using solar energy. The scheme of photovoltaic element substitution and the dependences describing the processes occurring in it are given. The authors conclude that despite the large number of various mathematical models of photovoltaic elements, all of them can be grouped into two categories. The first category includes models that consider photovoltaic panels as a separate element, and the second category includes models where the photovoltaic panel is a component of a generating complex. Despite the difference in the analyzed approaches, the authors single out a number of parameters that characterize the operation of a photovoltaic panel and are sufficient to obtain simulation results with the required accuracy.

Keywords: photovoltaic panel, mathematical modeling, substitution scheme, distributed generation, power generation

The problem of human self-knowledge is very relevant nowadays. People are constantly looking for new methods to study their own “I”. Graphology is one of such methods. The main difficulty of graphological analysis is the lack of automation of the process, the result depends only on the knowledge of the person. In addition, at the moment there is no service capable of carrying out a competent analysis of a person's handwriting. However, there are computer vision methods that, in combination, can produce work similar to that of a graphologist. Such methods include segmentation, binarization, and integral estimation methods. To compare the characteristics of handwriting with human characteristics of character, it is necessary to use classifiers. The use of all methods makes it possible to create a service that automates graphological analysis.

Keywords: graphology, handwriting, personal characteristics, graphological analysis, slope, direction of handwriting, text

The paper proposes a method for calculating the interval values of the coefficients of the polynomials of the numerator and denominator of the transfer function. An algorithm is presented that describes the sequence of actions performed, which makes it possible to obtain interval coefficients for the study of both linear and nonlinear systems. An illustrative example is given, which shows the calculation of the interval values of transfer functions, both continuous and discrete systems based on the use of the Matlab system.

Keywords: control system uncertainties, robust stability, marine mobile objects, transfer function with interval coefficients

In this article, as a result of the analysis, it was revealed that attributive access control should be applied in heterogeneous Big Data storages. Then, an algorithm for transferring rights between different data models that are part of heterogeneous Big Data storages was formulated. The limitations imposed on this algorithm are also revealed. Thus, the task of implementing a method for managing rights in heterogeneous Big Data repositories has been completed.

Keywords: database management system, heterogeneous storages, big data, relational database models

"This article describes the application of the ontological approach to the creation of an intelligent system of recommendations in the work of military recruitment committee. A popular and perfectly proven approach to describe and represent knowledge is ontologies. Designing knowledge-based systems is impossible without a thorough systematic study of the subject area in which the problem is to be solved. The result of systems research should be represented by the formalism best adapted for further implementation. Ontology is such a formalism, and this article discusses approaches to the formal representation of ontologies as the most important mechanism of knowledge engineering. Conceptually, ontology design processes are similar to those with multi-agent systems. In this case, nodes or agents connected to each other materialize our knowledge of the problem solution. An agent is comparable to the notion of an entity in an ontology. In both cases, an ontology graph is used. The Protégé software platform was chosen as one of the most popular development tools to implement the ontology ""Military Recruitment Committee"". An important factor is the support of SWRL, which is necessary for the future development of the project. In the process of ontology design, three main branches of entities were identified: questionnaire data; medical data; psychological data. Based on the results of the logical inference, a recommendation (advice) is formed regarding further decisions (actions) on working with a conscript. The SWRL is used to create rules for checking the set of properties for each conscript, on which a verdict is made. If necessary, the system will explain its actions. As a result, a preliminary ontological graph of the investigated domain in the OWL language is made. Implemented some software modules. Conducted a logical inference on the Protégé platform based on the description in SWRL language of the rules reflecting the impact of the set of entities of the ontology on the inferred recommendations."

Keywords: ontology, knowledge management, Protégé, knowledge-based systems, advisory systems, military recruitment committee

The article describes the development of a repository of neural network models designed to solve design problems in the field of spatial data analysis. The key options for using the system to provide support for making managerial decisions in the field of sustainable development are presented. The results of designing the ontological model of the repository are presented. The storage subsystem for neural network models is implemented in the form of a metalanguage. Models are converted into representations that are compatible with modern software systems for deep machine learning. The graphical web interfaces of the repository of deep neural network models and the visualization subsystem of deep machine learning models in the form of graph diagrams, as well as interfaces for obtaining structured information about specific neural network models are given. Within the framework of the repository, there is a subsystem for delimiting access rights for administrators and users of the system. The issues of updating the repository of deep neural network models in the process of solving practice-oriented problems in the field of ensuring the conditions for sustainable development of Russian regions and developing a recommender system for selecting and configuring neural network models stored in the repository are discussed.

Keywords: repository, neural network, neural network model, deep learning, spatial data, geographic information system, interface, data exchange, object detection, application programming interfaces