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CSR: SMALL: Automatically Detecting, Diagnosing and Resolving Abnormal Battery Drain Issues on Smartphone Systems

CSR: SMALL: Automatically Detecting, Diagnosing and Resolving Abnormal Battery Drain Issues on Smartphone Systems
CSR:小:自动检测、诊断和解决智能手机系统上的异常电池消耗问题
批准号:
1217408
负责人:
Yuanyuan Zhou
金额:
$35.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2015-08-31

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中文摘要
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英文摘要
This project presents a software system to have the smartphone itself deal with the abnormal battery drain (ABD) issues that are caused by 'battery bugs' in smartphone applications or system software as well as by battery-related configuration errors and environmental changes. The proposed system architecture contains four subsystems, namely information collection, data analysis, diagnosis, and resolution, to self-detect, self-diagnose, and self-recover with little user intervention if possible when ABD events happen. Various technical methods, including machine learning and statistical approaches, will be investigated to achieve the design goal.
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