2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)最新文献

{"title":"Data Processing through the Lifecycle of Aviation Radio Equipment","authors":"O. Solomentsev, M. Zaliskyi, O. Sushchenko, Y. Bezkorovainyi, Y. Averyanova, I. Ostroumov, V. Larin, N. Kuzmenko","doi":"10.1109/CSIT56902.2022.10000844","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000844","url":null,"abstract":"Aviation radio equipment reliability significantly effects on safety of flights in civil aviation. One of the ways to increase the efficiency of equipment intended use is usage of data processing techniques through the all stages of lifecycle. The results of data processing are control actions that correspond the doctrine of data-driven decision-making. This paper concentrates on analysis the operators of data processing across equipment lifecycle. The process of operators determining is considered during condition monitoring and control of aviation radio equipment. To analyze the advantages of data processing, the statistical simulation of data center is carried out in case of determining parameters and reliability indexes monitoring. The results of research can be used to improve the structure of lifecycle support system for aviation radio equipment.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117131738","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":"Study of linking words in political speeches of Bill Clinton using Python","authors":"M. Karp, N. Kunanets, Anna Burtnyk, O. Melnychuk, I. Bekhta, I. Shainer","doi":"10.1109/CSIT56902.2022.10000437","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000437","url":null,"abstract":"The research deals with syntactic devices, namely linking words and their features in Bill Clinton’s political speeches. Particular focus is placed on variations in the actual application of these features based on the unique aspects of the speaker’s language. This subject is important for research because it reveals how a politician’s words are utilized in a particular setting to develop power, influence, and control of the populace as well as how they are used to reveal a politician’s objectives and ambitions. The analysis, systematization, categorization, and comparison of connecting terms based on Bill Clinton’s speeches constitute the innovative aspect of this paper. The study’s focus is on the structural-semantic models of Bill Clinton’s English political speeches in terms of their dynamics. A Python programming language program was created for this research. This program searches for and analyzes syntactic sentence models with a change in the order of components, namely linking words. Materials have been discovered in William Jefferson Clinton’s book Speeches of President Bill Clinton, which includes 37 of the politician’s speeches. The primary research techniques are theoretical, which include analyzing and synthesizing scientific literature to provide the theoretical framework for the study; comparative analysis to compare the devices used in speeches; synthetic analysis to examine the collection of components that make up the system; structural-semantic analysis to analyze semantics based on connections and relationships between linguistic elements; and political science research. The theme, aim, and objectives of this work have been defined in the introduction, along with its relevance, object, and subject. Consideration is given to the theoretical and methodological underpinnings of the analysis of contemporary political speeches. Therefore, in the present world, a high degree of speech culture is a need and essential component of every professional sector.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115712374","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":"Positional Approach to the Voting Function Formation of Random Forest Trees as an Example of Solving the Differentiating Tuberculosis Forms Problem","authors":"O. Matviichuk, Oksana Biloshytska, O. Horodetska, V. Pavlov, M. Linnik, I. Nastenko","doi":"10.1109/CSIT56902.2022.10000450","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000450","url":null,"abstract":"The paper proposes a new voting technology for random forest trees – the Positional Approach to the Voting Function Formation (PAVFF). In contrast to existing forms of organizing the voting of random forest trees, the paper proposes to change the subjects of voting and to use as such individual finite elements of the tree, with weights determined in accordance with the competences of new voting units. Each forest tree in the voting function is represented by its individual branch (voting unit) with the corresponding competence level assigned at the stage of tree finite element verification. Furthermore, we propose different mechanisms for organizing the received units in the voting process. The effectiveness of the new mechanism is shown by the example of the differentiation problem of drug-sensitive and drug-resistant forms of tuberculosis. The task feature space is formed by the ROI (regions of interest) textural characteristics on the patient’s lungs CT scan. The initial feature space was composed of the elements of a few textural characteristic matrices. From over half a million input features, a few optimal ensembles were selected to form random forest trees. We used intra- and inter-class variance selection techniques for this purpose, with the final selection made by a genetic algorithm using a combined correlation criterion. After verification of voting units (finite elements of trees) 3 variants of voting by competence were formed: by the most competent unit, weighted average participation of all participants, and group voting with coefficient revaluation by the Group Method of Data Handling. The results were compared with similar voting by random forest trees. A 5% improvement in classification quality is shown.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115419444","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":"Potential Field Distribution Modeling in a Heterogeneous Medium by Near-Boundary Elements and Non-classical Finite Differences","authors":"L. Zhuravchak","doi":"10.1109/CSIT56902.2022.10000507","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000507","url":null,"abstract":"A generalized scheme for finding solutions of potential theory problems in two-dimensional piecewise homogeneous media containing local regions with coordinate-dependent physical characteristics has been given. To describe the additional influence of these local areas, along with the indirect method of near-boundary elements, a non-classical finite-difference method, which is based on asymmetric finite-difference relations, was used. The software implementation of the developed approach for finding the potential of the direct current electric field in a mountain heterogeneous ridge was carried out.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131987747","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":"Artificial Neural Networks Implementation in Ethylbenzene Oxidation Data Processing","authors":"Taras Chaikivskyi, B. Sus', S. Zagorodnyuk, O. Bauzha, V. Reutskyy","doi":"10.1109/CSIT56902.2022.10000547","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000547","url":null,"abstract":"An intelligent system for processing data of liquid-phase oxidation reactions for an industrial method of obtaining valuable oxygen-containing compounds has been developed. The scheme is based on a multilayer artificial neural network for digital signal processing. Clear simulations on the effect of the catalytic system and catalytic additives used in the process of ethylbenzene oxidation on the concentrations and selectivity for hydroperoxide of ethylbenzene, acetophenone, methyl phenyl carbinole, were obtained and analyzed for different catalysts by the means of an artificial neural network. The obtained predictions allow experimenters to select the most promising direction during the determination for the concentration of active catalytic substances.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130933574","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":"Information Sysem Project for Communication of Hearing Impaired Users","authors":"Diana Koshtura, N. Kunanets","doi":"10.1109/CSIT56902.2022.10000866","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000866","url":null,"abstract":"Programs have been developed to convert speech into text as well as text analysis for quick answers for people with hearing impairments. This work will analyze a project to create an information system that facilitates communication between people, in the case when one of the interlocutors has a hearing impairment. The possibility of using speech recognition technologies, neural networks, and machine learning to transform speech into text will be considered.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114432466","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":"Genetic Algorithm in Optimization Problems for Greenhouse Facilities","authors":"Vitaliy Lysenko, I. Bolbot, T. Lendiel, V. Koval, Ihor Nakonechnyy","doi":"10.1109/CSIT56902.2022.10000750","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000750","url":null,"abstract":"The research offers the analysis of the significance of factors influencing the total consumption of energy resources in protected ground facilities; identifies those that are mandatory in the calculation of relevant strategies for the control of complex biotechnical facilities; on the basis of the use of genetic algorithm establishes the optimal number of basic factors of plant life support, which the energy resources are spent on for maintaining their appropriate technological levels.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114920177","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":"Educational Module for Studying PC Architecture Using 3D Technologies","authors":"O. Bulgakova, V. Zosimov, Yevheniia Tselm","doi":"10.1109/CSIT56902.2022.10000734","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000734","url":null,"abstract":"This paper presents the 3D project that can be used in Education for visual/distance learning of students in the course “Computer Architecture”. The paper presents the use of 3D technologies in the educational process: students can independently assemble / disassemble and connect components in a virtual format, which is fully consistent with the real process. Each component module is accompanied by a description.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"123 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121879120","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":"Trends in the Development of Online Platforms for Distance Learning","authors":"R. Miroshnyk, I. Matviy, L. Halaz, Iryna Bahlai","doi":"10.1109/CSIT56902.2022.10000065","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000065","url":null,"abstract":"The article examines modern trends in the use of online} platforms in distance learning. The prerequisites for the transition to distance education in the conditions of the COVID-19 pandemic are outlined. Features of the most popular online learning platforms, such as Google Classroom, Microsoft Teams, Zoom and Moodle, are reviewed. A comparison of services and services offered to users of educational platforms was carried out. The performance indicators of the Zoom Video Communications company were considered. Prospects for the development of platforms for distance learning in the future are outlined.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122923845","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 the Ontological Approach to the Iterative GMDH Algorithms Metamodel Construction","authors":"H. Pidnebesna, Y. Savchenko-Synyakova, V. Stepashko","doi":"10.1109/CSIT56902.2022.10000462","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000462","url":null,"abstract":"Construction of an ontological metamodel of iterative algorithms is proposed to structure knowledge about these algorithms and their implementation. The metamodel will automate the design and use of specialized software for solving specific applied modeling problems. The advantage of iterative GMDH algorithms over combinatorial ones is that they allow the big datasets processing. The known generalized iterative algorithm, allows you to create typical architectures of previously developed modifications of these algorithms when setting up various modes of operation of this algorithm. The authors have developed an ontological metamodel of iterative GMDH algorithms using the Protégé environment.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129804358","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}