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

In this article discusses the problems of determining traffic signs for driving a motor vehicle using an artificial neural network apparatus. The relevance of research at this point in time is described, as well as the advantages of using neural networks in determining traffic signs. The input data for determining traffic signs for convolutional neural networks are presented. The architecture of the convolutional neural classification network is formed, in particular, the sequence of layers of the image classification network is considered. A mathematical description of the modeling of the error function and the stochastic gradient descent method is given. A mathematical model of the learning process of an artificial neural network, as well as activation functions: linear functions and sigmoids is presented. 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, classification, convolutional neural networks, deep learning, big data, mathematical modeling, informatics

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

Disconnecting consumers from electricity can lead to environmental disasters. One reason for the outage may be lightning hitting power lines or directly into a building or structure. The article considers two variants of lightning protection: long-lasting and free-standing.

Keywords: lightning protection, lightning arrester, lightning discharge, electricity theory, charge receiving unit

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

This article presents a mathematical model of the distributed registry as a Queuing network. The main components of this network, as well as their formal representation are considered. The model of the peer-to-peer network is visualized, the vector of the network state is defined, and the restrictions of the state space are defined. After that, the laws of distribution of individual flows and service time were presented. In addition, the design elements of the infinitesimal matrix were determined. Based on the data obtained, a simulation model of this process was produced. For simulation, the Anylogic package was used. The results of simulation were analyzed and the most optimal parameters were selected.

Keywords: Queuing network, information security, distributed registries, computer science and engineering, mathematical modeling information system, corda

The article describes the general model of the information system for managing information flows when renting real estate using the technology of distributed registries on the corda platform. The description of participants of the information system is presented. The key concepts of the use of distributed register technology for the implementation of the information system for real estate management are considered. The methods of data analysis of the information system for real estate management are presented. A method for approximating data using the Lagrange polynomial is considered. A method for estimating the value of real estate using artificial neural network technology is described.

Keywords: rent, real estate, data analysis, information security, neural network, distributed registries, Informatics, information system, corda