| Summary: | 碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 102 === Mobile phones are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS sensors, vision sensors (i.e., cameras), audio sensors (i.e., microphones), light sensors, tem-perature sensors, direction sensors (i.e., magnetic compasses), and acceleration sensors (i.e., ac-celerometers) made the energy of management important but how to manage and provide a better user experience is a popular issue in this time.
In our paper, we present a system for En-ergy Efficiency Management (EEM) in smartphone uses Google activity recognition to recognize and record user states and provides the user with efficient energy management.
Our system is consisted of two models, one is the learning model and the other is the man-agement mode. During the learning model we record user activity and build a user behavior model. After the behavior model is built we then can intelligently quit the applications. Which is less likely to be used . To prove the efficiency of the proposed, we compare our EEM with King-soft Internet Security software. Which is one of the most popular application in Google Mar-ket .The experiment result shows that EEM can increase the battery life by at least 25%
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