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

{"title":"Development of Software for Billet Barreling Predicting at the Desing of Metalforming Processes Based on Pre-Upsetting","authors":"V. Kukhar, E. Balalayeva, Olga Tuzenko","doi":"10.1109/CSIT56902.2022.10000479","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000479","url":null,"abstract":"The development and automation of a methodology for determining the deformation unevenness in the form of barreling during the pre-upsetting of billets with flat dies are carried out. The urgency of the problem is to establish the feasibility of two directions: (a) the need to predict the value of barreling to achieve a complex energy-saving effect in metal forming technologies, (b) the development of separate software for processing experimental data to eliminate the use of expensive CAE-systems for simulation. The calculation method is based on the barreling coefficient’s exponential mathematical dependence on the cylindrical billet’s initial geometric dimensions, the degree of upsetting strain, and the required coefficients characterizing the properties of the billet material and the thermomechanical conditions of deformation. Software testing has shown that the average error between the results of the barrel coefficient calculations according to the developed model and the experimental data is 8.1%.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"11 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":"126505991","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":"Harmonization of project configuration of the crop harvesting technological system","authors":"P. Lub, A. Tryhuba, R. Chubyk, R. Padyuka","doi":"10.1109/CSIT56902.2022.10000862","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000862","url":null,"abstract":"The prerequisites for the development and use of methods and models to support decision-making in crop harvesting projects are revealed. The peculiarities of the project environment impact on the work timeliness in the technological harvesting projects development systems given. Emphasis is placed on the importance of timely execution of works in these projects, as well as the resolution of tasks related to coordination of their configuration (start time, scope of work, and technical equipment). The significance of the project environment impact (biological processes of sugar beet ripening and agrometeorological conditions) on the time constraints for the implementation of works in the projects is determined. It is shown that such an influence determines the variability of the terms of the start of work and their duration, and affects the functional indicators of work efficiency in harvesting projects. The need to take into account these features in the statistical simulation model of the technological system of harvesting projects has been proved. The results of using a statistical simulation model to evaluate the effectiveness and support of decision-making in these projects are presented. The methodology and results of considering the influence of the project environment (subject and agrometeorological conditions) on the terms and timeliness of work in harvesting projects are shown. The practicality of creating simulation models and the methodology of displaying the probabilistic conditions of functioning of the technical equipment of sugar beet harvesting projects are described. Computer experiments were performed with a simulation model with given initial data and technical equipment of the project (beet harvester SKS-624 “Palesse BS624-1” and tractor-trailer-loader HTZ- 243K.20+Hawe Ruw 2500T), crop variety and limits of its production square The peculiarities of the impact of the main components of crop harvesting projects on their efficiency indicators are revealed. The simulation was performed for the given limits of the production area of sugar beet - 10-300 hectares with a step-by-step increase of 20 hectares. Correlational dependencies of the functional indicators of the efficiency of the technological system at the time of the work started, the production area, and technical support of the projects, taking into account the probabilistic influence of the project environment, have been established.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"12 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":"125551989","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":"Computational Actualization of Idioms: Authorial Corpus-based Idiomaticity of Contemporary British Fiction","authors":"I. Bekhta, N. Bondarchuk, N. Hrytsiv, Olena Levchenko, O. Matviienkiv, O. Melnychuk","doi":"10.1109/CSIT56902.2022.10000798","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000798","url":null,"abstract":"This paper attempts to investigate the computational actualization of occasional phraseological units in Sara Waters’ Fingersmith. We make use of Natural Language Processing tools, TEI applications and digital tagging of documents. Prioritized is corpus-based phraseology with a focus on types of classification of phraseological units’ transformations by Ch. Fernando. The results display that the most frequent type of phraseological units’ transformations in the corpus under research is addition (44%) which demonstrates the author’s intention to specificate the utterance, to revive the meaning of the phraseological unit, and intensify its expressiveness.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"42 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":"124709875","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":"Improving the Machine Translation Model in Specific Domains for the Ukrainian Language","authors":"D. Maksymenko, Nataliia Saichyshyna, Oleksii Turuta, O. Turuta, A. Yerokhin, A. Babii","doi":"10.1109/CSIT56902.2022.10000529","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000529","url":null,"abstract":"One of the main tasks of natural language generation is to improve the quality of translation. For a morphologically rich language like Ukrainian, there are few ordered datasets that can be the basis for further training of a machine learning model.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"94 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":"132746876","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":"Input decomposition by clusterization for symbolic execution","authors":"R. Bazylevych, Andrii Franko","doi":"10.1109/CSIT56902.2022.10000433","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000433","url":null,"abstract":"The clusterization approach to a symbolic execution input decomposition was evaluated in the paper. The study uses the Klee engine to demonstrate the effects of input clustering for the console chess game written in the C language. The clusterization algorithm is adapted to the Klee by isolating a chosen cluster from the program code. The effect of different cluster sizes on the coverage, error detection, and execution time is evaluated. The obtained result shows benefits of the clusterization as a decomposition approach and may be used in further research to improve symbolic execution performance.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"200 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":"134040438","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":"Sentiment Analysis Technology of English Newspapers Quotes Based on Neural Network as Public Opinion Influences Identification Tool","authors":"Serhii Voloshyn, V. Vysotska, Oksana Markiv, I. Dyyak, Ihor Budz, V. Schuchmann","doi":"10.1109/CSIT56902.2022.10000627","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000627","url":null,"abstract":"This article dwells upon research concerning human language processing techniques, namely emotion analysis, conducted to identify emotions of author quotations in English newspaper articles. The publication describes general information about human language processing, brief description of analogues based on machine learning and neural network to analyse emotions in text. The main goal is to develop intelligent system for sentiment analysis of English language quotations and keywords identification that influences public opinion. The article describes sequence of program actions and tools that have been used. Then, statistics of tasks performed by neural networks with various functions of activators have been described. In the publication, product demo version has been described, and primary usage scenario has been depicted. In the end, research results have been summarised.","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":"134084925","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":"The method of creating agricultural thematic maps in geoinformation systems using the method of automatic unsupervised classification","authors":"R. Stupen, Z. Ryzhok, N. Stupen, O. Stupen","doi":"10.1109/CSIT56902.2022.10000510","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000510","url":null,"abstract":"Thematic agricultural maps outside the settlement of Remeniv of the Zhovtantsi territorial community of Lviv region, with an area of 109.8 hectares, have been created. A thematic map of dangerous geological processes has been obtained using the vector analysis tool of unsupervised classification k-means clustering in the geoinformation system QGIS. The thematic map of the relief analysis of the agricultural land use model according to the slope steepness is displayed. Using the method of automatic unsupervised classification, the territory of agricultural land use is divided into 5 classes of arable land suitability according to the height and steepness of the slopes.","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":"129803893","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":"Algorithm for optimal designing the cyber-physical system for measuring natural gas volume","authors":"F. Matiko, Y. Pistun, H. Matiko","doi":"10.1109/CSIT56902.2022.10000895","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000895","url":null,"abstract":"In this paper, the authors have improved the mathematical model of a system for measuring the natural gas volume, particularly developed an equation for estimating the uncertainty of the measured volume in the form of dependence on gas flow rate in real-time. Based on the improved model, a new algorithm for designing the measuring system was developed using the criterion of minimum absolute error of gas volume.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"43 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":"131996302","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":"A Joint Statistical Estimation of the RFC and CBO Metrics for Open-Source Applications Developed in Java","authors":"S. Prykhodko, N. Prykhodko, Tetiana Smykodub","doi":"10.1109/CSIT56902.2022.10000457","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000457","url":null,"abstract":"The response for a class (RFC) and coupling between object classes (CBO) metrics, along with other ones, are used for evaluating software complexity, including object-oriented design (OOD) complexity of open-source applications (apps), providing a measure of the third step (the relationships between classes) in OOD. Recommended values for the RFC and CBO metrics are known without correlation between them. However, there is a correlation between the RFC and CBO metrics. That is why we have performed jointly estimating the RFC and CBO metrics for 46 open-source apps developed in Java. We have constructed a prediction ellipse for the normalized RFC and CBO metrics based on the bivariate Box-Cox normalizing transformation to aid software architects and designers in managing complexity in OOD. If the squared Mahalanobis distance for normalized values of the RFC and CBO metrics for an app is greater than 12.57, it means that there is high complexity due to the relationships between classes.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"260 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":"132327971","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":"Modeling a Pharmaceutical Web-Service Using Colored Petri Nets","authors":"I. Kalinina, A. Gozhyj, Victor Gozhyi","doi":"10.1109/CSIT56902.2022.10000824","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000824","url":null,"abstract":"The article describes building models a pharmaceutical web-service based on colored Petri nets. To build models, a specialized service algebra and diagrams in DFD notation have been developed. A system of models of the first and second levels of pharmaceutical service based on colored Petri nets in the CPN Tools environment has been created. The developed models were investigated. On their basis, computational experiments were carried out, including simulation modeling and calculation of model parameters. The quality of the developed pharmaceutical service was assessed.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"12 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":"133039637","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}