{"title":"使用分段逼近和物联网特定点的两分量数据表示","authors":"Hyunjae Park, Young-June Choi","doi":"10.1109/ICTC.2018.8539506","DOIUrl":null,"url":null,"abstract":"In these days, concept of IoT is widely spread from individual devices to large industrial systems. However, data handling from IoT devices is on developing stage. Delivering large amount of data to server which mainly operates data analysis is required and it becomes a burden to network. Our work has focused on reducing volume of data to transmit with data approximation in the domain of time series data. We suggest a data representation method which separates data into specific data point and piecewise approximation values. In addition, we show the difference between raw data and reduced data in distance and in time series classification accuracy.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two component data representation using piecewise approximation and specific points for IoT\",\"authors\":\"Hyunjae Park, Young-June Choi\",\"doi\":\"10.1109/ICTC.2018.8539506\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In these days, concept of IoT is widely spread from individual devices to large industrial systems. However, data handling from IoT devices is on developing stage. Delivering large amount of data to server which mainly operates data analysis is required and it becomes a burden to network. Our work has focused on reducing volume of data to transmit with data approximation in the domain of time series data. We suggest a data representation method which separates data into specific data point and piecewise approximation values. In addition, we show the difference between raw data and reduced data in distance and in time series classification accuracy.\",\"PeriodicalId\":417962,\"journal\":{\"name\":\"2018 International Conference on Information and Communication Technology Convergence (ICTC)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Information and Communication Technology Convergence (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTC.2018.8539506\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2018.8539506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two component data representation using piecewise approximation and specific points for IoT
In these days, concept of IoT is widely spread from individual devices to large industrial systems. However, data handling from IoT devices is on developing stage. Delivering large amount of data to server which mainly operates data analysis is required and it becomes a burden to network. Our work has focused on reducing volume of data to transmit with data approximation in the domain of time series data. We suggest a data representation method which separates data into specific data point and piecewise approximation values. In addition, we show the difference between raw data and reduced data in distance and in time series classification accuracy.