Yuliya Orlova

• Volgograd State Technical University

Objective . Today, capture is a chain for the implementation of medical rehabilitation systems, systems for measuring human physical activity and other medical applications. Their solutions often use hardware systems - sensors, which have a set of limitations and reduce the efficiency of access systems, increasing their cost. The following goal is...

This paper discusses the actual neural network architectures used to classify breast cancer according to histological micropreparations. A comparative analysis of models and frequently used datasets was conducted. The main methods of augmentation and data preprocessing were also identified. The main goal of the study was to test the trained models...

Из-за стремительного развития сферы торговли особую популярность набираютсредства автоматического контроля работы сотрудников, оказывающих услуги клиен-там. На данный момент существует множество современных подходов, методов и алго-ритмов для автоматического отслеживания покупателей и продавцов в помещении мага-зина. Современные компании стараются...

Since the COVID-19 pandemic, the demand for respiratory rehabilitation has significantly increased. This makes developing home (remote) rehabilitation methods using modern technology essential. New techniques and tools, including wireless sensors and motion capture systems, have been developed to implement remote respiratory rehabilitation. Signifi...

We consider the problem of dimensionality reduction of state space in the variational approach to the optimal control problem, in particular, in the reinforcement learning method. The control problem is described by differential algebraic equations consisting of nonlinear differential equations and algebraic constraint equations interconnected with...

Aim. To evaluate the impact of a mobile application usage on the self-care skills, quality of life, adherence to treatment, as well as the psychological characteristics of comorbid patients with stable coronary heart disease. Material and methods . The study will include patients over 18 years of age with an established diagnosis of ischemic heart...

One of the problems in computer-supported education is defining meaningful errors that students can make during a complex automated exercise. A precise set, describing what can go wrong in the student’s reasoning, allows better measurement of students’ knowledge, asking pointed follow-up questions to stimulate the student’s thinking, and providing...

Analysis of the effectiveness of national research support systems includes processes related to the creation, sharing and application of knowledge. A key feature and limitation in the implementation of the analytical functions of research support systems is that only publication activity indicators are used as an efficiency criterion. Mathematical...

The article analyzes the existing approaches and software solutions for carrying out exercises to restore the patient’s hand mobility in a remote format, shows the process of developing the admin panel module for the existing solution “Devirta.Accuracy”. This article proposes an approach to solving the problem of distancing the process of restoring...

Currently, the problem of developing methods for determining promising directions, trends in scientific research and technology is the most important component of the process of forming a national science policy. The problem of finding priority or breakthrough areas of development is reduced to sorting out in one form or another and assessing possi...

The work is dedicated to the research and development of methods and algorithms that automate and support the process of technical creativity, from the point of automated creation of musical compositions with different genres. The method is based on the use of neural networks to predict composition, and also suggests using various models that have...

The work is devoted to the fundamental scientific problem of creating models, methods and tools for automatically determining the emotional state of a person to increase the efficiency of information processing and decision making in human-computer interaction. The topic of this work is relevant for the future development of human-computer interfac...

The aim of this work is to develop a method for determining the state of a person using a chat bot. The existing solutions were analyzed, their shortcomings were identified in order to create a more optimal solution. The proposed method is based on the creation of a chat bot based on a neural network. The article presents the types of neural networ...

This article discusses the problems of modern treatment and patronage of patients in the rehabilitation period. The authors of the work developed a new approach to accompanying a patient suffering from cardiovascular diseases, in particular, such a disease as stable angina was considered. A service was developed that includes an app for the Android...

The work is devoted to the analysis and improvement of the existing business process of patient patronage during rehabilitation. The article analyses the existing software tools that are currently used in medical practice, and also identifies their shortcomings regarding the process of patient support during the rehabilitation period. A service tha...

This article is devoted to the method of recognition of sarcasm in the text in order to improve the accuracy of sentiment analysis. As a domain area for the experiment, the task of determination the sentiment level of a text that describes the appearance of a person was chosen. At first, references to the personality and elements that describes app...

Introduction The article considers the situation with modern user’s applications for patients in the post-operative period after surgical interventions, including total hip replacement. The main reasons for the emergence of a multidisciplinary field of a science, in particular between the medical and IT industries, were formulated. The aim of the s...

The article analyzes the approaches to the construction of predictive models based on the apparatus of artificial neural networks, in particular, the method of back propagation of errors by iterative adjustment of weight coefficients.

This work is devoted to development and approbation of the methods for automated sound generation based on image color spectrum with using the neural networks. The work contains a description of the transition between color and music characteristics, the rationale for choosing and the description of a used neural network. The choice of the neural n...

The article presents the method of recognition of sales consultants on the basis of a neural network to determine the posture of a person, as well as methods of monitoring the behavior of the sales consultant and analysis of its interaction with the buyer by means of video. The article also discusses the methods of establishing the missing key poin...

This article is devoted to the sarcasm recognition in the text written in a natural language. The main goal is to increase the accuracy of sentiment analysis. The sentiment level determination of a text that describes the appearance of a person was chosen as a domain area for the experiment. At first, references to the personality and elements that...

The article describes the main stages of the development of an intelligent system for analysis and segmentation of remote sensing data using deep machine learning and neural network modeling. In particular, the environment for creating an experimental software module was chosen, an experiment on training a neural network was implemented and the res...

The article deals the technique of application of neuro-fuzzy systems in problems of management of melioration of agricultural crops is considered. In particular, an adaptive network based on the fuzzy inference system is developed, a method for predicting data flows based on the neuro-fuzzy network is proposed, which is implemented in the MATLAB A...

In this work we show the results of development and experiments with the program for automated sound generation based on image color spectrum with using the neural network. The work contains a description of the transition between color and music characteristics, the rationale for choosing and the description of a recurrent neural network. The choi...

The paper describes the method of musical compositions generation by the image color spectrum based on user ratings. It describes the algorithm of image analysis, based on conversion of image from RGB space to HSV and the algorithm for generating melodies based on a correlation table between artistic and musical characteristics by J. Caivano, and t...

This document contains the description of the program for the control of the correct physical exercises performance implementation using Microsoft Kinect, the method of the comparison between live motions performed by the user and recorded motions, description of the testing of the program and also information about different approaches for gesture...

This work is devoted to development and approbation of the program for automated sound generation based on image colour spectrum with using the recurrent neural network. The work contains a description of the transition between colour and music characteristics, the rationale for choosing and the description of a recurrent neural network. The choice...

Human emotions play an important role in the interpersonal relations. Emotions are reflected by means of a facial expression. Research and understanding of emotions are very important for human-machine interaction. This article is describing the system for automatic recognition of emotions in a video stream. The main purpose of the work is to devel...

This work is devoted to the semantic analysis of texts, which were written in a natural language. The main goal of the research was to compare latent Dirichlet allocation and latent semantic analysis to identify elements of the human appearance in the text. The completeness of information retrieval was chosen as the efficiency criteria for methods...

In this article we introduce the method for context-sensitive image analysis for coloring nature images. The method based on Welsh method for coloring grayscale images. We improved Welsh method for nature through changing sample size. In the conclusions we present results of our method and potential improvements.

This article describes a software system for scanning and three-dimensional reconstruction of the human body using the two MS Kinect devices. The article describes the main stages of the conversion of partial frames of depth in the general polygon mesh model of the human body. Also, we propose and describe a method for constructing the surface in t...

This paper describes the system for identifying human emotional reactions. Particular attention is devoted to the motion and gesture recognition approaches and methods. The existing systems for recognizing human emotion are briefly reviewed. The scopes of the developed system and current state of the project are described.

This paper is dedicated to the problem of establishing semantic similarity for the documents of the news cluster and extracting key entities from the article's text. The existing methods and algorithms for fuzzy duplicate detection texts are briefly reviewed and analysed, such as TF-IDF and its modifications, Long Sent, Megashingles and Log Shingle...

The chapter contains a description of automated systems for the recognition and analysis of emotional reactions. A new approach to the automated identification of human emotions based on analysis of body movements, gestures and poses is presented. A methodology and related models for an automated system are described. To categorize and characterize...

This paper is devoted to the automatic coloring of grayscale images. Existing solutions of this problem are investigated. Their advantages and disadvantages are identified. The basic methods of grayscale image coloring are considered. A two-step automatic coloring technique is proposed. Methods and algorithms are described.

This paper is devoted to the problem of extracting key entities fromthe article’s text and representation of its content in a compressed format – so-called mind map. Particular attention is paid to text parsing based on link grammar. The main advantages of this approach are described. The methods and algorithms for extracting key phrases from the n...

This paper is devoted to a problem of partition documents from the news flow into groups, where each group contains documents that are similar to each other. We use thematic clustering to solve this problem. The existing clustering algorithms such as k-means, minimum spanning tree and etc. are considered and analyzed. It is shown which of these alg...

This article considers two-stage segmentation method for context-sensitive image analysis. We represent a combination of two methods: pyramidal segmentation and Grabcut. The results of the pyramidal segmentation are used for the Grabcut as input data. The resulting regions should be used for further detailed recognition. In conclusion shows the com...

In this study, information filling of the databases created on the basis of models of the description of physical effects is considered. The developed models of representation of physical knowledge in the form of physical effects allow to form effective databases on physical effects and on their basis, various automated systems of search of physica...

The paper describes the computer-aided system for automation of the initial stages of multi-component software design, which is based on the semantic analysis of text. Automation lead to increasing in the quality of software development. The paper considers an approach to automation of the initial stages of software design. Program tools, which pro...

The paper describes how to apply multisets for software design. Developed system for automation of the initial stages of multi-component software design is based on the semantic analysis of text. Automation lead to increasing in the quality of software development. The paper considers an approach to automation of the initial stages of software desi...

This paper presents a new approach to automated identification of human emotions based on analysis of body movements, a recognition of gestures and poses. Methodology, models and automated system for emotion identification are considered. To characterize the person emotions in the model, body movements are described with linguistic variables and a...

This paper presents a new approach to automated identification of human emotions based on analysis of body movements, a recognition of gestures and poses. Methodology, models and automated system for emotion identification are considered. To characterize the person emotions in the model, body movements are described with linguistic variables and a...

To make a large amount of text documents available to perception, it is necessary to spread the information sources in thematic groups. In this paper, filtering of electronic documents is based on a preliminary multi-stage clustering algorithm: at the first stage for reducing the feature space Kohonen maps (SOM) are used, at the second stage FOREL...

The paper presents a mining methodology, which is based on processing of spatial and temporal information in natural language text. It is based on methodology capable of recognizing the relationship between events and objects in the text, using spatial and temporal relationships between these events to enhance the semantic coherence of natural lang...

The given work is devoted to development of the computer-aided system of semantic text analysis of a technical specification. The purpose of this work is to increase efficiency of software engineering based on automation of semantic text analysis of a technical specification. In work it is offered and investigated a technique of the text analysis o...