{"title":"Optimization of the Mathematical Model of Factors of Composite Design of Infographic","authors":"O. Tymchenko, S. Vasiuta, O. Khamula","doi":"10.1109/STC-CSIT.2018.8526673","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526673","url":null,"abstract":"By using the analytic hierarchy, we solved the problem of optimizing the model of factors of composite design of infographic. It is shown that the obtained results give an opportunity to explore the presence and consistency of pair wise comparisons of weight factors, but also open the possibility of obtaining a numerical assessment of the interrelationships between them in the original graph. Thereby, the solution of the problem of optimizing the model of the hierarchy of the factors of compositional design of infographic provides the ordering of requirements for automation of the process of designing infographics.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124150196","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":"Programmable Flexible System","authors":"O. Ivakhiv, P. Mushenyk, M. Nakonechnyi, O. Viter","doi":"10.1109/STC-CSIT.2018.8526638","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526638","url":null,"abstract":"The programmable systems often are very convenient for the measurement object semantic redundancy reducing. The object state analyzing unit is the core of the system. Its task is to observe an object state and prepare a proper survey program. The main characteristics of the analyzing unit based on zero-order prediction are investigated in this paper.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127607549","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":"Quasi-Relief Method of Informative Features Selection for Classification","authors":"S. Subbotin","doi":"10.1109/STC-CSIT.2018.8526627","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526627","url":null,"abstract":"The feature selection problem for classification is addressed. The modified Relief method is proposed. It selects a subsample from the original sample, computes hashes for instances, used to select and delete redundant instances, compute feature similarity and difference, and updates the feature weights. The experiments to study the proposed method have been carried out. They showed that the proposed method provides a significant acceleration of computations.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"2007 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125593783","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":"Advisory System «Admission» for College Graduate","authors":"S. Krupa, N. Kunanets","doi":"10.1109/stc-csit.2018.8526644","DOIUrl":"https://doi.org/10.1109/stc-csit.2018.8526644","url":null,"abstract":"In the course of the study, it was created an informational advisory system “Introduction” that generates recommendations for an entrant who is going to enter a higher education institution after graduating from colleges or educational institutions of I, II level of accreditation. The information system is built on the modular principle, which is based on client-server technology. Access to the system is provided through a web site and a user-friendly interface. This system is adapted to the IT specialty, which provides educational services at the National University of Lviv Polytechnic, however, it can be used for any institution of higher education with minimal software adjustments.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131938816","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}
R. Kaminskyi, N. Kunanets, A. Rzheuskyi, Andrii Khudyi
{"title":"Methods of Statistical Research for Information Managers","authors":"R. Kaminskyi, N. Kunanets, A. Rzheuskyi, Andrii Khudyi","doi":"10.1109/STC-CSIT.2018.8526588","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526588","url":null,"abstract":"The suggested innovative methodological approaches to statistical research by information institutions allow to conduct an effective evaluation of their activities, improve their work of in future. The “case of the information manager” will become a convenient tool for information workers who have basic skills of work with software. The “case of the information manager” includes the following methods: analysis of the variational series as a supplement to descriptive statistics, expert evaluation.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980315","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}
M. Lobur, S. Shcherbovskykh, K. Kozlowski, D. Pazderski
{"title":"Experimental Analysis of Rotary Speed Observers for Electric Drive with Cascaded Control System","authors":"M. Lobur, S. Shcherbovskykh, K. Kozlowski, D. Pazderski","doi":"10.1109/STC-CSIT.2018.8526615","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526615","url":null,"abstract":"Different structures of rotary speed observers are analysed. Particularly, simple differential observer, integral observer, integral observer with proportional feedback correction and integral observer with differential feedback correction are considered. To improve performance of the observer it is suggested to include in feedback path a differential block and a first order filter. The designed rotary speed observer is used for angle tracking of telescope electric drive.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131981824","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 Computer Technologies in Conceptual Analysis","authors":"N. Romanyshyn","doi":"10.1109/STC-CSIT.2018.8526579","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526579","url":null,"abstract":"The article discusses and represents the possibilities of computer technologies in conceptual studies. The application of concordance technologies and corpus-based analysis is an effective tool that facilitates the process of concept's semantic structure modeling, determination of verbal means of concept actualization, concept's metaphoric embodiment.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125229970","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 Saaty Method While Choosing Thesaurus View Model of the “Smart city” Subject Domain for the Improvement of Information Retrieval Efficiency","authors":"Kunanets Nataliia, M. Halyna","doi":"10.1109/STC-CSIT.2018.8526656","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526656","url":null,"abstract":"Methods of choosing the conceptual view model for thesaurus development of the “Smart city” subject domain by Saaty methods are considered in this paper. The procedure is substantiated and the results of the carried out research are presented.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117305178","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}
Yaroslav Dorogyy, V. Kolisnichenko, Kseniia Levchenko
{"title":"Violent Crime Detection System","authors":"Yaroslav Dorogyy, V. Kolisnichenko, Kseniia Levchenko","doi":"10.1109/STC-CSIT.2018.8526596","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526596","url":null,"abstract":"The violence is one of the problems of our society. Violence prevention requires violence detection first, which needs a lot of human resources, and therefore it cannot be done instantly and ubiquitously. With the development of technologies it became possible to detect violence with minimal human interaction. In this paper, we describe principles and methods to build an automated system for violence detection. Proposed system is able to make violence detection simple, instant and ubiquitous. It was designed to recognize violence not only during the time it occurs but to predict it for some time before, basing on interpretation of verbal and nonverbal signals of a person. In addition, the system may use different external data sources to get information about the persons and environment to include it into reasoning process, therefore increase prediction accuracy.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130770318","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":"Self-organizing Inductive Modeling for Probabilistic Electricity Price Forecasting","authors":"F. Lemke","doi":"10.1109/STC-CSIT.2018.8526706","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2018.8526706","url":null,"abstract":"Self-organizing, inductive modeling (GMDH) is a proven and powerful data-driven modeling technology for solving ill-posed modeling problems as found in energy forecasting and other complex systems. It develops analytical, optimal complex, predictive models, systematically, from sets of high-dimensional noisy input data. The paper describes the implementation of rolling self-organizing modeling, exemplarily, for the Global Energy Forecasting Competition 2014 (GEFCom2014) probabilistic electricity price forecasting track using the KnowledgeMiner INSIGHTS inductive modeling tool out-of-the-box.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130818548","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}