{"title":"Analysis of the spread of COVID-19 in Ukraine using Google Trends tools","authors":"M. Medykovskyy, O. Pavliuk, Myroslav Mishchuk","doi":"10.1109/CSIT56902.2022.10000436","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000436","url":null,"abstract":"The paper is devoted to the analysis of the spread of the COVID-19 pandemic in Ukraine based on finding the correlation between search terms in Google search engine and laboratory-confirmed cases. Statistics were obtained from open sources. The analysis was performed on matrices based on the Pearson correlation coefficient. To do this, we analyzed 25 typical search phrases, and after grouping them – 7 remained. The data were reduced to the same discreteness. Correlation matrices were calculated for each wave of the pandemic and for altogether. As a result, the correlation between search phrases and laboratory-confirmed cases was observed only in the second and third waves of the pandemic. Moreover, in the first wave, the preconditions for its occurrence were found; in the second - Pearson’s correlation coefficient was 0.74, and in the third wave, it decreased to 0.57. Other correlations that are specific to each pandemic wave are also analyzed. Additionally, it was proved that polynomials of the 6th degree most effectively restore lost data.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"3 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":"133163397","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":"Open Source Software Computed Risk Framework","authors":"Jon Chapman, Harish Venugopalan","doi":"10.1109/CSIT56902.2022.10000561","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000561","url":null,"abstract":"The increased dissemination of open source software to a broader audience has led to a proportional increase in the dissemination of vulnerabilities. These vulnerabilities are introduced by developers, some intentionally or negligently. In this paper, we work to quantity the relative risk that a given developer represents to a software project. We propose using empirical software engineering based analysis on the vast data made available by GitHub to create a Developer Risk Score (DRS) for prolific contributors on GitHub. The DRS can then be aggregated across a project as a derived vulnerability assessment, we call this the Computational Vulnerability Assessment Score (CVAS). The CVAS represents the correlation between the Developer Risk score across projects and vulnerabilities attributed to those projects. We believe this to be a contribution in trying to quantity risk introduced by specific developers across open source projects. Both of the risk scores, those for contributors and projects, are derived from an amalgamation of data, both from GitHub and outside GitHub. We seek to provide this risk metric as a force multiplier for the project maintainers that are responsible for reviewing code contributions. We hope this will lead to a reduction in the number of introduced vulnerabilities for projects in the Open Source ecosystem.","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":"115041858","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}
Anna Preczyńska, Krzysztof Lichy, Piotr Lipiński, Barbara Morawska
{"title":"Mobile Hand Gesture Controlled Application using Transfer Learning","authors":"Anna Preczyńska, Krzysztof Lichy, Piotr Lipiński, Barbara Morawska","doi":"10.1109/CSIT56902.2022.10000552","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000552","url":null,"abstract":"An increasing number of companies move to a touchless user interface, partly because of the pandemic's impact and the restricted rules of using public access objects. The market for Zero User Interface is increasing and industrial implementations are growing and promising. Currently, the knowledge of keeping yourself healthy and clean is essential to prevent the spread of Covid-19 disease. A proposed project – a hand gesture-controlled application to properly guide the user through the handwashing process can increase the overall level of hygiene in public. The solution is realized with a transfer learning method based on EfficientNet Lite models making it possible to run on Android, iOS, embedded Linux devices, and microcontrollers.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"64 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":"128566644","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 the Productivity of a Sugar Factory using Machine Learning Methods","authors":"N. Lutska, L. Vlasenko, N. Zaiets, V. Lysenko","doi":"10.1109/CSIT56902.2022.10000571","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000571","url":null,"abstract":"Relevant today is the digitalization of industrial enterprises, which is an evolutionary continuation of the introduction of MES/MOM. At the same time, an important role is played by the construction of mathematical models for various purposes, which are the main component of the Digital Twin development. Digital Twin provides a new philosophy for conducting enterprise production processes based on these models, which is aimed at improving the efficiency of both individual sectors and the enterprise as a whole. To increase the profit of the enterprise, it is necessary to ensure the planned productivity of technological processes, the final indicator of which is the yield of sugar. Taking into account that a significant number of material flows operate at the enterprise, only production flows with which the operator-technologist works are singled out in the work. The selected flows, based on expert assessments, were assigned weighted values of the impact on the overall performance of the sugar production. This made it possible to build a mathematical model that predicts the yield of sugar from input flows. The structure and parameters of this model are determined by machine learning methods. This is a feed-forward neural network MLP 7-23-23-1, which provides forecast accuracy with an error of less than 1%. The model can be used to model, correct, and predict the process conditions of an enterprise, which will increase the overall productivity of the sugar factory.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"133 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":"133372661","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 System for Leisure Time-Management in Quarantine Conditions","authors":"O. Veres, P. Ilchuk, O. Kots, Yana Levus","doi":"10.1109/CSIT56902.2022.10000478","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000478","url":null,"abstract":"The research is devoted to the study of the problem of planning leisure time during quarantine periods (forced staying at home) using information technology tools. The need for adaptation and modification of the usual forms of leisure activity to the new format has been determined. The methods of providing recommendations were studied. Using the Analytical Hierarchy Method, the optimal type of system for the implementation of the proposed solution was chosen – a recommendation system. The algorithm of the recommendation system, which offers alternatives for spending time during periods of forced staying at home, is described. A weighted hybrid mechanism was used to provide recommendations. The recommendations feature of the developed prototype of the information system is the provision of offers that contain, in addition to passive types of leisure, also active ones that take into account the characteristics of each of its users.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"4 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":"129321576","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}
Sergiy Rudenko, T. Kovtun, Tetiana Smokova, Finohenova Iryna
{"title":"The genetic approach application and creation of the project genetic model","authors":"Sergiy Rudenko, T. Kovtun, Tetiana Smokova, Finohenova Iryna","doi":"10.1109/CSIT56902.2022.10000822","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000822","url":null,"abstract":"The modern trend in the development of project management is the convergence of general management and natural-scientific approaches. Recently, the analogy of the project with a living organism or a biological system has been actively considered. This led to the application of biological and genetic approaches in project management, which is an actual direction of methodological development and is considered a source of non-standard ideas and solutions, allowing to significantly expand the traditional view of the project and improve the process of its management.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"210 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":"123534106","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":"Expert group decision-making in corporate identity restyling","authors":"T. Shestakevych, Mykola Logoyda, U. Marikutsa","doi":"10.1109/CSIT56902.2022.10000501","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000501","url":null,"abstract":"Although the scientific event organization in Ukraine in 2022 as a reality has guidance on how to perform when the rocket strike alarm, the CSIT organizing committee does its best to support our scientists at risk. To draw even more attention, the conference organization committee took an opportunity to improve the overall style of the conference. First, we began by identifying a set of tools for organizing and supporting the conference, which are or can be carriers of the visual components of the corporate style of the conference. From them, relevant corporate identity attributes were selected for the conference taking place in online mode. Among the developed series of the visual components of the conference, identity elements were chosen that will determine the general stylistics. The difficulty in deciding on corporate identity attributes is many experts, i.e., participants of the organizational and program committees of the conference, which led to the use of a group expert approach.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"41 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":"129951078","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":"Three-module framework for automated software testing","authors":"Ilona Kozak, A. Berko","doi":"10.1109/CSIT56902.2022.10000806","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000806","url":null,"abstract":"Different types of automated test frameworks are used for different purposes, i.e., to investigate features of the interface, functionality, etc. Each of these frameworks has different approaches to the testing process, and therefore, own advantages and disadvantages. Repositories seems to be helpful tool while developing various types of software testing systems. Such software testing system should meet business requirements, as well as user, functional, and non-functional requirements. Such requirements can be grouped into technological, financial, ergonomic, time, etc. The designed and developed three-module framework for automated software testing was uploaded to the repository and a sub-project was prepared.","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":"124327665","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 Recurrent-and-Parallel Implementation of COMBI GMDH algorithm on CPU and GPU","authors":"S. Yefimenko","doi":"10.1109/CSIT56902.2022.10000562","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000562","url":null,"abstract":"the paper presents a parallel implementation of recurrent combinatorial algorithm which enables the efficient utilization of available computing resources both the host CPU cores and CUDA kernels. A series of test experiments shows an increase in the comparative efficiency of the algorithm with an increase in the task complexity.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"458 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":"124334544","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}
Serhii Voloshyn, Oksana Markiv, V. Vysotska, I. Dyyak, L. Chyrun, V. Panasyuk
{"title":"Emotion Recognition System Project of English Newspapers to Regional E-Business Adaptation","authors":"Serhii Voloshyn, Oksana Markiv, V. Vysotska, I. Dyyak, L. Chyrun, V. Panasyuk","doi":"10.1109/CSIT56902.2022.10000527","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000527","url":null,"abstract":"Main goal of the work is emotion recognition and sentiment analysis of quotes from English newspapers. Key of this problem is task solution of text emotional analysis, that is, feelings analysis of author who expresses own opinion. Emotional or sentimental text analysis is primarily the classification algorithm aimed at finding certain point and its location and information highlighting particular interest in the process. In this work, the problem of multi-class or binary classification is solved using machine learning. Publication describes general information about human language processing, brief description of analogues, use of machine learning to analyse emotions in text. Article describes the sequence of intellectual system project realization actions and the used tools for emotion recognition. Then, the statistics of tasks performed by neural network with various functions of activators are described. In the publication control example of demo version of the intellectual system project was made, and the main usage scenario was depicted. At the end, the results of the study have been summarized.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"111 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":"123064603","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}