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 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 The use of primitive development methods, as well as outdated components, leads to an increase in the timing of design, implementation and implementation of the project.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
Automation of procurement activities is considered one of the most well-known applications of IT solutions, since procurement is an integral element of the work of any organization and must be a holistic, systematic process that provides the opportunity to receive all those products, works, offers and services that are so important to the organization with the least expenditure of resources and resources in time. The article highlights the list of functional capabilities of various systems and describes the results of a formalized analysis of the functional completeness of these systems of the procurement session. The analysis also included a conditional system with the desired functionality, according to which it will be clear how this or that system is suitable for the customer.
Keywords: procurement session, procurement activity, comparative analysis of functional completeness, auction, reduction, lot, bid, analysis of compliance of user requirements to systems, similarity of systems
This article discusses the problems of determining the road surface for automatic control of a vehicle using an artificial neural network. The current state of the industry is described, as well as the relevance of these studies. Describes the input data for determining the road surface. The idea of the applicability of the image segmentation method for determining the road surface is substantiated. The structure of an artificial neural network based on the U-NET architecture is being formed. In particular, the structure of the sequence of layers is described. Particular attention is paid to the mathematical modeling of the convolution process and the maximum pool. A mathematical model of the learning process of an artificial neural network, as well as activation functions: linear functions and sigmoids, is given. An algorithm for forming an artificial neural network model is proposed. The learning process of this function is visualized on the graph. The result of the training is presented.
Keywords: artificial neural networks, UNET, data analysis,, machine learning, deep lerning, convolutional neural networks, convolution, maximum pool, image segmentation, modeling
In today's world, health control is an essential element of everyday life. The article highlights the list of functional capabilities of various devices (smart watches, fitness bracelets) and describes the results of a formalized analysis of the functional completeness of health monitoring devices. On the example of two different sets of user requirements, two conditional systems are included in the study, by the degree of similarity with which it is possible to judge how the analyzed devices are suitable for this user.
Keywords: Health monitoring devices, fitness bracelet, comparative analysis of functional completeness, pressure measurement, pulse, ECG, training monitoring, analysis of compliance with user requirements for devices, similarity of devices
The results of the analysis of the functional completeness of ten intelligent video Analytics systems are presented. It is shown how the video Analytics systems selected for comparison have similarities or differences in the criterion of functional completeness. The paper analyzes whether they contain the most typical video detectors and what additional video Analytics functions each of the compared systems has. It is shown how it is possible to estimate as far as functional completeness of this or that system corresponds to requirements of the user.
Keywords: intelligent video surveillance, video Analytics, specialized videodetector, intelligent analysis of video analysis of functional completeness, a formal analysis of the degree of similarity systems, a measure of similarity of Jacquard, Earl of superiority,
This article deals with the problem of determining the cost of renting real estate. The idea of minimizing the absolute error function using artificial neural networks is substantiated. Particular attention is paid to the process of determining the input data of the neural network. In particular, the problems of determining such parameters as the improvement of the region and premises. The article clarifies the features of determining the weight coefficients to determine the technical equipment of the room using a genetic algorithm. A model of neural network architecture is proposed. The model of change of weight coefficients is described. As a result, the model was tested on test data, and the model of data correction taking into account price dynamics was described.
Keywords: neural network, data mining, data analysis, real estate rental, regression, genetic algorithm, Informatics, machine learning, cost estimation, modeling, extrapolation