{"title":"The fundamentals of communities creation and development in the social environment of the Internet","authors":"Y. Forkun, Andriy Peleschyshyn","doi":"10.1109/STC-CSIT.2016.7589879","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589879","url":null,"abstract":"The main pre-conditions for communities creation in the social recourses of the global informational environment are considered.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115091257","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. Medykovskyy, I. Tsmots, Yurii Tsymbal, Anastasiya Doroshenko
{"title":"Development of a regional energy efficiency control system on the basis of intelligent components","authors":"M. Medykovskyy, I. Tsmots, Yurii Tsymbal, Anastasiya Doroshenko","doi":"10.1109/STC-CSIT.2016.7589858","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589858","url":null,"abstract":"The purpose of our researches is to develop intelligent components for regional energy efficiency control system. The opportunities of intelligent components for multivariate data visualization on the basis of autoassociative neural networks and situational feature maps have been described in this paper.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"30 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117276166","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 software defined cloud infrastructure management","authors":"S. Telenyk, E. Zharikov, O. Rolik","doi":"10.1109/STC-CSIT.2016.7589859","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589859","url":null,"abstract":"A widespread use of the cloud computing paradigm has increased the necessity and significance of improving the management efficiency of cloud infrastructures. Special attention is paid to solving cloud resource management problems. In this paper, authors present an architecture of Software Defined Cloud Infrastructure management system that leverages Software Defined approach in all subsystems: network, storage, and computation. Due to the intensive changes of virtual machine (VM) workloads and different conditions of resource utilization the VM placement and migration problems should be solved and optimized continuously in an online manner. To address such problems the authors propose novel heuristics for VM placement and consolidation based on a physical machine (PM) workload prediction. The authors also evaluate a particular policy of the VM allocation in a data center using an adaptive genetic algorithm. The proposed adaptive Software Defined approach to the cloud infrastructure management is implemented by using the policy selector that allows to select different algorithms or policies for resources and virtual machines management in order to adapt to the impact of disturbing influences.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126756450","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. Mikhalieva, M. Mykyychuk, N. Hots, Yuliia Dzikovska
{"title":"Use of electric and acoustic technologies for automated control of liquid","authors":"M. Mikhalieva, M. Mykyychuk, N. Hots, Yuliia Dzikovska","doi":"10.1109/STC-CSIT.2016.7589876","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589876","url":null,"abstract":"The researches were conducted for the development of new rapid non-laboratory control methods of liquids that combine acoustic and electric influences. The analysis of the research results of model liquids, obtained under the influence of continuous ultrasonic field and the electromagnetic field of variable frequency, is presented. On the basis of scientific facts the method of fast qualitative and quantitative monitoring of liquid objects is proposed.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123441656","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}
Zhengbing Hu, Yevgeniy V. Bodyanskiy, O. Tyshchenko
{"title":"A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering","authors":"Zhengbing Hu, Yevgeniy V. Bodyanskiy, O. Tyshchenko","doi":"10.1109/STC-CSIT.2016.7589884","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589884","url":null,"abstract":"A cascade deep learning system (based on neuro-fuzzy nodes) and its online learning procedure are proposed in this paper. The system is based on nodes of a special type. A goal function of a special type is used for possibilistic high-dimensional fuzzy clustering. To estimate a clustering quality of data processing, an optimal value of a cluster validity index is used.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115838885","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}
O. Berezsky, Serhiy Verbovyy, L. Dubchak, T. Datsko
{"title":"Fuzzy system diagnosing of precancerous and cancerous conditions of the breast","authors":"O. Berezsky, Serhiy Verbovyy, L. Dubchak, T. Datsko","doi":"10.1109/STC-CSIT.2016.7589906","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589906","url":null,"abstract":"Breast cancer is the most common cancer among women. Cytological images are used to diagnose the breast cancer. In this thesis the fuzzy system of diagnosing of precancerous and cancerous conditions of the breast is proposed. This system is based on the expert evaluation of cytological images and can be used in medical practice.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130689615","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":"Statistical methods to detect gender peculiarities of communication in Vkontakte social network groups","authors":"Yan Butelskyy","doi":"10.1109/STC-CSIT.2016.7589888","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589888","url":null,"abstract":"With this study we review and describe the main features of communication in social networks and perform methods of information grabbing from social network Vkontakte using programing language Pyhton. By creating a research corpus of 320,000 comments, which is divided into male and female, we used statistical methods to detect particularities between male and female communication within one group and compare communication in two different thematic groups.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"19 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132933685","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 structure of information systems for environmental monitoring","authors":"N. Shakhovska, Oleksii Shamuratov","doi":"10.1109/STC-CSIT.2016.7589880","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589880","url":null,"abstract":"This paper presents the system architecture and prediction method of soil contamination, which should simplify the timely detection of soil changes.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129587879","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":"Multicriteria architecture choice of software system under design and reengineering","authors":"A. Kharchenko, I. Halay, I. Bodnarchuk","doi":"10.1109/STC-CSIT.2016.7589855","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589855","url":null,"abstract":"The problems of multi-criteria choice of software system architecture are discussed, connected with definition of criterial function structure and formalization of trade-offs definition procedure for decision making. Universal scalar convolution is offered for taking into account requirements of subject area and criteria values limitations. The criterion weight in this convolution depends on its value proximity to the limitation. Optimization model “replacement-compensation” is used for software system reengineering problems or for directed choice of software architecture.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127142177","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 improved CPSO algorithm","authors":"B. Borowska","doi":"10.1109/STC-CSIT.2016.7589854","DOIUrl":"https://doi.org/10.1109/STC-CSIT.2016.7589854","url":null,"abstract":"This paper presents an improved particle swarm optimization algorithm (CPSO) in which corrective procedure was introduced. The aim of this corrective procedure is to set new, better velocities for some particles when their present velocities are inefficient. New velocities are the functions of previous and current velocities. The presented algorithm was tested with a set of benchmark functions and analyzed both in terms of their efficiency, premature convergence and the ability to avoid local optima. The results of the tests were compared with those obtained through the standard PSO and IPSO to demonstrate the superiority of CPSO.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130786260","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}