{"title":"Models and methods of object detection in digital image processing","authors":"V. Liubchenko, Dmytro Moroz","doi":"10.20998/2411-0558.2024.01.06","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.06","url":null,"abstract":"Object detection in digital images can face such problems that arise in the process of image registration as the presence of noise, low image quality/resolution, illumination heterogeneity, overlapping objects, and others. These problems complicate the process of object detection and lead to errors in image processing algorithms. To solve these problems, we study the advantages, disadvantages, and technical features of models and methods for detecting objects in digital images for their reasonable selection in practical applications. Figs. 2. Refs. 11 titles.","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"27 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141643884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Synthesis of the physical neural terms and long short-hour memory for detection of prophylerative retinopathies","authors":"Dmytro Prochukhan","doi":"10.20998/2411-0558.2024.01.07","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.07","url":null,"abstract":"The effectiveness of a combination of hypopharyngeal neural measures and long-term short-hour memory in the diagnosis of profilerative retinopathy has been studied. The methods of synthesis of the indicated types of measures are examined. The advantages of the vicorsynthetic neural network ResNeXt-101 have been established using ResNet-101. A neural boundary model has been developed that synthesizes the indicated boundary with the dimension of long-term short-term memory. The model was developed. Indicated by the functioning mechanisms of the specified model. Behind this additional fragmented model is the task of detecting profilerative retinopathy. High indicators of classification accuracy were obtained. Figs.: 3.Tabl.: 2. Refs.: 14 titles.","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"5 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Siamese neural networks to compare aerial photographs with terrain maps","authors":"Vitalii Vlasenko","doi":"10.20998/2411-0558.2024.01.12","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.12","url":null,"abstract":"The work presents the methodology for the development and training of the Siamese neural network for comparing aerial photographs with terrain maps. The proposed approach is aimed at identifying stable and informative features in images, which allows to increase the accuracy and automation of the matching process. The presented method uses two identical networks that are trained in parallel, which ensures a reduction in the gap in characteristics between the compared images. The Siamese neural network efficiently handles images of varying quality and detail, making it ideal for comparing aerial photographs with terrain maps. The developed tool allows for quick analysis and comparison of aerial photographs with terrain maps with high efficiency and accuracy, which contributes to the expansion of the field of application in geoinformation research and engineering applications. Figs.: 3. Refs.: 11.","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Overview of the problem and possibilities of improving information literacy","authors":"Dmytro Uhryn, Artem Kalancha","doi":"10.20998/2411-0558.2024.01.01","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.01","url":null,"abstract":"This article analyzes in detail the actual problem of the spread of disinformation through various media resources and their impact on society. The main aspects of information consumption by Ukrainian society, in particular on the Internet, are highlighted, and the potential target audience is determined. Based on the analysis, a new intelligent system based on Natural Language Processing technology is proposed, which provides users with a comprehensive overview of the activity of each media resource. Available analogues with their advantages and limitations are examined in detail, emphasizing the significant advantages of the proposed intelligent system for increasing information literacy and countering disinformation. Figs.: 3. Refs.: 9 titles","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"78 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141643093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation of the accuracy of integral models of the oculo-motor system","authors":"V. Pavlenko, Denys Lukashuk","doi":"10.20998/2411-0558.2024.01.05","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.05","url":null,"abstract":"For mathematical modeling of the human oculomotor system (OMS), integral nonlinear models are used, which simultaneously take into account the nonlinear and inertial properties of the research object. Based on the data of experimental studies of the OMS \"input-output\", transient and diagonal intersections of transient functions of the second and third orders are determined. To obtain experimental data, an innovative eye tracking technology is used, which allows recording eye responses to test visual stimuli. Thus test signals are displayed on the computer monitor at different distances from the starting position in the horizontal direction. The aim of the research is to study the accuracy of OMS identification using eye-tracking data by evaluating the calculation errors of multidimensional transient functions when using methods of nonlinear dynamic identification based on models in the form of Volterra series and polynomials. The object of the study is the process of nonparametric identification of the OMS based on Volterra models in the time domain. The subject of the research is algorithmic and software tools for calculating the dynamic characteristics of OMS based on eye-tracking data, analyzing the accuracy of the obtained models using two identification methods: the approximation method and the least squares method (LSM). The means of nonlinear dynamic identification of the human OMS based on Volterra series and polynomials were developed in the Python programming environment. The accuracy estimates of various OMS (linear, quadratic, and cubic) models were obtained based on data from three responses to test signals of different amplitudes. For the same test signals, the same models in the form of the Volterra series and polynomials were obtained, as these models coincide in the region of convergence of the Volterra series. The analysis of errors in the assessment of the dynamic characteristics of the OMS demonstrated that the model in the form of an integral polynomial of the second degree, which was built using the LSM based on three responses, has an accuracy twice as high as the accuracy of similar models built using the data of two responses. Thus, in further studies of the psychophysiological state of a person based on nonlinear dynamic models of the OMS according to the data of three responses, it is advisable to use a model in the form of a quadratic Volterra polynomial. Figs.: 17. Tabl. 3. Refs.: 10 titles.","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141644272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Methods of recovery of centrifugal water pump resources","authors":"Sh. U. Yuldashev, Z. S. Sharypov","doi":"10.20998/2411-0558.2024.01.04","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.04","url":null,"abstract":"In the article presents the results of researches of the device of centrifugal pumps of type «D», operating conditions of pumps, processes of deterioration of details, factors infiuencing occurrence of defects in details, moderning of technology of restoration of a resource of detalis of water pumps. A combined method for restoring the resource of the casing is proposed, taking into account the resurts of researches of wear of the working surface and working conditice hudro abrasive, cavitations,hudrogen and other types of wear. Recommendations are qiven to the choice of processing and taking into account the infiuence of technological and operational factors on the adhesive strength of the joint of the massing. Figs.: 17. Tabl. 3. Refs.: 10 titles.","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"10 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating advanced human-computer interaction and machine learning models for optimizing VR systems in educational and business applications","authors":"Li Tao, Tetiana Honcharenko","doi":"10.20998/2411-0558.2024.01.10","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.10","url":null,"abstract":"This paper presents the development of an advanced Human-Computer Interaction (HCI) model and algorithm integrating Natural Language Processing (NLP) to optimize Virtual Reality (VR) systems for educational and business applications. The proposed model enhances user experience and operational efficiency by addressing interface design, user engagement, real-time data processing, and accessibility. Continuous learning and contextual data integration ensure adaptive and personalized interactions, improving the functionality and applicability of VR environments. Fig.: 2. Refs.: 11 titles.\u0000 ","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"12 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An approach to modeling the spatial interaction of point sets on integer regular grids","authors":"A. Dashkevych","doi":"10.20998/2411-0558.2024.01.11","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.11","url":null,"abstract":"The paper demonstrates a generalized approach to modeling the interaction of points and point sets on integer regular grids in metric spaces. The modeling process is based on the definition of spatial relations in \"Point-Set\" and \"Set-Set\" pairs, which allows to determine the spatial interaction between arbitrary geometric objects, defined as grid-based geometric models (GGM), which represent point sets on regular grids, generalized schemes of spatial interaction are developed in the work. As a result of the work, software was developed for conducting computer experiments on simulation of interaction in metric spaces of arbitrary dimensions and visualization of their results. The developed approach was tested on data sets of different dimensions. Figs.: 10. Refs.: 11 titles.","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oleh Datsok, O. Litovchenko, Danylo Chyhryn, A. Kiriak
{"title":"Hardware and software complex for determining the most informative psychophysiological parameters during professional burnout","authors":"Oleh Datsok, O. Litovchenko, Danylo Chyhryn, A. Kiriak","doi":"10.20998/2411-0558.2024.01.13","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.13","url":null,"abstract":"The structure of the hardware and software complex was developed, it determines the psychophysiological parameters of a person with psychological burnout syndrom (for doctors and emergency medical workers) based on the results of the Maslach questionnaire (MBI-GS), which includes a specialized model for determining the most informative features that cause professional burnout . Illustration: 5. Bibliography: 11 titles.","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"19 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141644278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Raskin, L. Sukhomlyn, Artur Hatunov, Serhii Andriienko
{"title":"Optimal distribution of limited resource in a context of uncertainty","authors":"L. Raskin, L. Sukhomlyn, Artur Hatunov, Serhii Andriienko","doi":"10.20998/2411-0558.2024.01.02","DOIUrl":"https://doi.org/10.20998/2411-0558.2024.01.02","url":null,"abstract":"Object of research: methods of rational distribution of limited resource in a context of uncertainty. It is assumed that the system consists of a set of independently functioning elements, and effectiveness of these elements depends on the level of investment. The complexity of solving the problem using traditional methods depends on and is determined by the type of analytical description of production functions of the system elements. Significant difficulties arise if parameters of production functions are uncertain quantities, specified, for example, in terms of fuzzy mathematics. This circumstance emphasizes the relevance of studying approaches to solving the set problem of resource distribution for the case when its parameters are not clearly defined, and this circumstance also determines the goal of the work. Problems arising from the goal consist in developing mathematical models and methods for rational resource distribution for the main types of production functions with their parameters being fuzzy numbers of (L – R) type. To solve these problems, a method is proposed that transforms the original fuzzy problems into clear ones that can be solved using standard constrained optimization technologies. An important result of the research consists in the fact that the proposed method is universal, that is, it is applied in the same way to solve problems of resource distribution in systems wherein production functions of the elements can be of arbitrary nature. Refs.: 11 titles.\u0000 ","PeriodicalId":332263,"journal":{"name":"Bulletin of the National Technical University \"KhPI\" A series of \"Information and Modeling\"","volume":"10 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}