K. Vishal, Romil Bansal, A. Namboodiri, C. V. Jawahar
{"title":"通过智能手机上的用户动作建模,按需提供服务","authors":"K. Vishal, Romil Bansal, A. Namboodiri, C. V. Jawahar","doi":"10.1145/2638728.2638779","DOIUrl":null,"url":null,"abstract":"We propose a novel approach to schedule services like Wi-Fi and 3G on smartphones. Using Wi-Fi as an example, we show that intelligent scheduling based on a user's activity level leads to lower power consumption without adversely affecting the user experience. Data from various sensors is used to model and predict a user's activity, which is then used to schedule the wireless services.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Providing services on demand by user action modeling on smart phones\",\"authors\":\"K. Vishal, Romil Bansal, A. Namboodiri, C. V. Jawahar\",\"doi\":\"10.1145/2638728.2638779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a novel approach to schedule services like Wi-Fi and 3G on smartphones. Using Wi-Fi as an example, we show that intelligent scheduling based on a user's activity level leads to lower power consumption without adversely affecting the user experience. Data from various sensors is used to model and predict a user's activity, which is then used to schedule the wireless services.\",\"PeriodicalId\":20496,\"journal\":{\"name\":\"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2638728.2638779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2638728.2638779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Providing services on demand by user action modeling on smart phones
We propose a novel approach to schedule services like Wi-Fi and 3G on smartphones. Using Wi-Fi as an example, we show that intelligent scheduling based on a user's activity level leads to lower power consumption without adversely affecting the user experience. Data from various sensors is used to model and predict a user's activity, which is then used to schedule the wireless services.