The article discusses the concept of software implementation of complex tools on the platform "1C:Enterprise" for automating the accounting of the activities of shelters for homeless animals. The architecture of the solution is described, highlighting aspects of the functioning of the system’s integration modules with the social network “VKontakte” and the Telegram messenger. Diagrams of the sequence and activity of processes regarding the interaction of citizens with the key functionality of the system are presented.

Keywords: animal shelter, homeless animals, 1C:Enterprise, automation, activity accounting, animals, software package, information system, Telegram bot, integration with VKontakte, pet search

The article describes the integration aspects of the Telegram bot implemented on the 1C: Enterprise platform, into the information system for processing the results of sports competitions. The basic functionality of user interaction with the bot is considered. A diagram of the system states in the process of user interaction with the bot is provided, illustrating the possible transition states when the user selects certain commands or buttons. A diagram of the sequence of the registration process for participants of events using a Telegram bot is presented, illustrating the transmission of messages using post and get requests.

Keywords: processing the results of sports competitions, Telegram bot, messenger,1C: Enterprise platform, state processing, information systems in the field of sports

The article proposes a general formalized model of the task of processing and extracting potential key skills from job descriptions to determine the relevance of training areas and possible areas of employment for graduates. The formalized model is used in the software implementation of the job clustering module based on the obtained sets of key skills within the framework of a comprehensive toolkit for remote career guidance.

Keywords: vacancies, demand for training areas, career guidance, digitalization of career guidance, formalized model, clustering, professions, key skills

The article describes the results of the development of an information system for processing the results of sports competitions on the 1C:Enterprise platform for informational support of the sports social project Don Family League, which involves entire families in sports and physical education. An object model of configuration data is presented, which allowed structuring the subject area, highlighting the main application objects, their details and the relationships between them, which was later used for algorithmization of the solution and software implementation of complex tools on the 1C platform.:Enterprise". The software package was tested as part of information support for the activities of the Don Family League project in the period from July 2022 to July 2023 and showed high efficiency.

Keywords: All-Russian physical culture and sports complex «Ready for work and Defense», the Don Family League project, processing of results of sports competitions, rating of individual standings, rating of family standings, rating of team standings

Mobile applications today are a necessary tool for work, study, entertainment and communication with the entire information world. Every year, the requirements for applications are increasing, as well as the need for stable and multifunctional software tools that will be able to quickly perform the tasks assigned to them. Although most applications require Internet access to provide access to services, it is also necessary to ensure that data is stored on the device itself in order to allow offline access to data. To solve this problem when developing mobile applications, there are many different tools, but the most common is the Room library, which is included in the "Android Jetpack" package. The article provides a brief description of the functionality of this library. The work of all the main components with basic annotations is considered. The interaction of the main components of the library is also schematically presented and an example of implementation in a mobile application for the Android operating system is shown.

Keywords: database, sqlite, Android Jetpack, Room, android

The article considers a formalized data model of a software package for automating the accounting of the activities of an animal care center, which includes two subsystems: "Subsystem of information support for the activities of a shelter for homeless animals" and "Subsystem of automation of accounting for the activities of a hotel for animals". The formalized model allows you to structure the subject area, highlight the main components, their properties and relationships between them (customers, pets, aviaries, booking requests, volunteers, tasks, etc.), which was later used for algorithmization of the solution and software implementation of complex tools on the 1C:Enterprise platform.

Keywords: formalized model, animal shelter, homeless animals, hotel for animals, 1C:Enterprise, automation, activity accounting, animals, software package, information system

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

Any mobile application consists of work screens that contain various information. Every year there are more and more requirements for applications. This is due to the constant growth in the number of users of various services that require certain software components for their functioning. The use of primitive development methods, as well as outdated components, leads to an increase in the timing of design, implementation and implementation of the project. But the development of technology does not stand still, which makes it possible to solve the emerging time-consuming tasks in an easier form and much faster. And an example of this is the developed library "The Navigation Component", which allows you to create a convenient and understandable navigation scheme inside the application, and this is simply necessary when a mobile application has many working windows. The article will list the components of the library "The Navigation Component". The main attributes are shown. The principle of operation of each component is considered.

Keywords: navigation diagram of the application, The Navigation Component, application, Android

This article discusses the formation and connection of layers in the task of classifying images of traffic signs, as well as calculating weights on the corresponding layers of the neural network. The authors describe the biological structure of brain neurons, as well as their comparison with artificial neural networks. A conceptual model of an artificial neuron and a neural network with a description of structural elements is presented. The matrix structure of the weights of the neural network is given. The process of converting an RGB image of a road sign into an input layer of a neural network is described. A corresponding description is provided for each hidden layer. In addition, a description of the convolution layers and the maximum pool is given, as well as an explanation of the need to use this type of layers in a convolutional neural network. The authors also described an algorithm for the formation of a convolutional neural network for the classification of road signs. Examples of the operation of this neural network are given.

Keywords: convolutional neural networks, classification, deep learning, big data, mathematical modeling, computer science

This paper describes the issue of choosing a distributed registry platform when designing information systems in the financial sector of the economy. The relevance of these studies is due to the ever-increasing growth in demand for information systems of the financial sector of the economy formed using distributed registry technology. The growing interest in this technology is associated with the need to ensure reliable storage of information, the change of which will be monitored by the participants of this transaction. The purpose of this work is to determine the most suitable platform using the hierarchy analysis method. In the course of the work, the main platforms of the distributed registry were identified, as well as the key criteria for these frameworks were determined, taking into account the requirements of business process participants. These criteria were evaluated. For each alternative evaluation matrix, the indicators of the maximum eigenvalue vector were determined according to separate criteria, and the consistency of the judgment was proved, including the determination of the consistency index, the local priority index and the consistency ratio. A synthetic analysis of the criteria under consideration was carried out. Based on the data obtained during the synthetic analysis, the most promising platform was selected. Conclusions on the evaluated systems are formed.

Keywords: distributed registry, hierarchy analysis method, system analysis, information systems, computer science

This article discusses the problems of determining the organs of air respiration on computed tomography images using convolutional neural networks of the U-NET architecture. The prospects of using neural networks in the analysis of medical images, as well as the use of the U-NET architecture for semantic segmentation of images are described. The structure of an artificial neural network based on the U-NET architecture is being formed. The structure of the layers of this network is visualized and the components of this structure are described. Special attention is paid to the description and implementation of the convolution process. The formula for determining the weight coefficients of the separation boundary is presented. Algorithms for the formation of an artificial neural network model and an algorithm for constructing layers are proposed. A method of increasing data for a training sample of images of medical images is considered. The image of the result of the determination of the chest organs and the corresponding mask are presented.

Keywords: convolutional neural networks, U-NET architecture, deep learning, image recognition, machine learning

This article discusses the problems of constructing convolutional neural networks for determining road objects. The general relevance and formulation of the problem of determining road objects is presented. The rationale for the use of artificial neural networks for determining road objects has been formed. The Retinanet network architecture is used as the main architecture of an artificial neural network for determining road objects. The general concept of this architecture and the main subnets are visualized. Error functions for the main subnets of the Retina net network are described. The design description of algorithms for constructing data annotation for training an artificial neural network, as well as algorithms for constructing the neural network architecture of classification, regression and feature pyramid is given. The dynamics of changes in the general error function when determining road objects is determined. The result of training an artificial neural network is presented.

Keywords: convolutional neural networks, classification, regression, convolutional neural networks, deep learning, big data, mathematical modeling, computer science, RetinaNet architecture

In the process of conducting information activities, a large set of data accumulates, which reflects the specific features of the work performed. The stored information is not always in an orderly and understandable form, which makes it very difficult to work with it. This complicates the analysis, increases the processing time. Neural networks can solve this problem. Today, neural networks are widely used in many fields of activity, due to their application, for example, it becomes possible to analyze the market situation more thoroughly and make appropriate decisions that directly affect success. Thanks to the use of a neural network, it is possible to carry out a set of information in a convenient form for analysis. The article will provide a list of information about the self-organizing Kohonen map, concerning the principles of the neural network. The processing of test data with visualization of maps is considered.

Keywords: Kohonen self-organizing map, Kohonen networks, neural networks, cluster, processing, Self Organizing Map, SOM

Mobile applications are widely used by many people in everyday tasks. Every year there is an increasing need for more functional, convenient and reliable software tools that can provide fast and safe work in various fields. But to develop such an application, it is necessary to use an architecture that meets all the requirements. In this paper, we will talk about the use of components from Android Architecture Components developed by Google, which allow you to implement some design patterns taking into account the features of the Android operating system. The article will provide a list of the most used components, as well as a brief reference on their functionality. The work of one of the components with the basic elements of the Android operating system is considered. The interaction of components is also schematically shown by the example of the implementation of one of the design patterns.

Keywords: application architecture, Android Architecture Components, application, android

The article considers a variant of formalization of the task of determining the demand for training areas and possible areas of employment of graduates by comparing the skills obtained in the framework of training and the requirements of the labor market on the basis of semantic analysis of job descriptions. The formalized model is used for further algorithmization of the solution and software implementation within the module of the complex tools of remote career guidance.

Keywords: API requests, vacancies, demand for training areas, career guidance, digitalization of career guidance activities, formalized model