{"title":"Smart home web of objects-based IoT management model and methods for home data mining","authors":"Jeu-Young Kim, Hark-Jin Lee, J. Son, Jun-Hee Park","doi":"10.1109/APNOMS.2015.7275448","DOIUrl":null,"url":null,"abstract":"Nowadays, much research in recent years has focused on IoT (Internet of Things). The home domain is the most important research area of IoT, because there expected accounts of home smart device for over 40 percent of connected device excepting mobile phone. Furthermore, enormous data is generated by home smart device. There is growing concern, but the previous works didn't address enough to manage and analyze home data. The purpose of this study is to describe and examine to manage the aggregated home IoT data based on SWO (Smart home Web of Objects), and SWO analytics platform. We shows the implementation of SWO analytics platform and a case study using real data from smart metering devices for analysis of appliance usage patterns.","PeriodicalId":269263,"journal":{"name":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"41","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APNOMS.2015.7275448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 41
Abstract
Nowadays, much research in recent years has focused on IoT (Internet of Things). The home domain is the most important research area of IoT, because there expected accounts of home smart device for over 40 percent of connected device excepting mobile phone. Furthermore, enormous data is generated by home smart device. There is growing concern, but the previous works didn't address enough to manage and analyze home data. The purpose of this study is to describe and examine to manage the aggregated home IoT data based on SWO (Smart home Web of Objects), and SWO analytics platform. We shows the implementation of SWO analytics platform and a case study using real data from smart metering devices for analysis of appliance usage patterns.
近年来，物联网(IoT, Internet of Things)成为研究热点。家庭领域是物联网最重要的研究领域，因为除手机外，家庭智能设备预计占连接设备的40%以上。此外，家庭智能设备产生了大量的数据。越来越多的人担心，但以前的工作没有解决足够的管理和分析家庭数据。本研究的目的是描述和检验基于SWO(智能家居物联网)和SWO分析平台的聚合家庭物联网数据的管理。我们展示了SWO分析平台的实现和一个案例研究，使用来自智能计量设备的真实数据来分析设备使用模式。
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