M. Poulos, V. Stefanidis, G. Anogianakis, A. Evangelou
{"title":"Synchronization of Small SetData on Stable Period","authors":"M. Poulos, V. Stefanidis, G. Anogianakis, A. Evangelou","doi":"10.1109/MCSI.2015.53","DOIUrl":null,"url":null,"abstract":"Synchronization characteristic of periodic oscillators are based on the extraction of a special variable, phase. The subject of this phenomenon is considered as very important issue in a wide field of sciences. However, until now the research of the synchronization phenomena depends on big data set applications and the condition that this measuring needs the data sets to have same period. In this paper, we develop a new novel approach of the synchronization measuring of small data set using a new technique in which we create a procedure of stable period for each for investigation sequence of small data set. This study based on experimental results. Our future plan is to continue our work in order to found it with mathematical models. Furthermore, we would like to apply our method in other scientific fields.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"1996 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSI.2015.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Synchronization characteristic of periodic oscillators are based on the extraction of a special variable, phase. The subject of this phenomenon is considered as very important issue in a wide field of sciences. However, until now the research of the synchronization phenomena depends on big data set applications and the condition that this measuring needs the data sets to have same period. In this paper, we develop a new novel approach of the synchronization measuring of small data set using a new technique in which we create a procedure of stable period for each for investigation sequence of small data set. This study based on experimental results. Our future plan is to continue our work in order to found it with mathematical models. Furthermore, we would like to apply our method in other scientific fields.