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Android Fluency And Battery Duration Power Of The Intelligent Optimiaztion Design And Implementation

Posted on:2016-07-26Degree:MasterType:Thesis
Country:ChinaCandidate:H S DuFull Text:PDF
GTID:2308330503450608Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Today, the rapid development of mobile Internet, more and more frequent communication exchanges between people. The smartphone with its rich entertainment properties and convenient business performance more and more popular, especially based on the Android operating system for smart phones is popular worldwide. However the user to install, uninstall, run applications and mobile applications, Android phones will produce junk files, run Caton, battery power too quickly, slow boot problems, leading to poor user experience. Since each person and each person has the habit of using a cell phone is not the same, therefore, how to develop the habit of personalized mobile user behavior to optimize programs for users is necessary.Based on this background, this paper for the Android operating system startup, the application of the principle of operation of in-depth analysis and research, and runs Android phone appear Caton, start slow and battery power too quickly and so affect the performance of the phone-depth analysis of the reasons for and research, released by the end of the background process independent of the memory space, cleaning up the application cache data, legacy applications unload garbage, modify the value of the process space optimization methods such as mobile phones; shorter phenomenon for mobile phone battery standby time, this paper set the CPU operating mode, timely End background process and set the screen brightness and other methods for cell phone battery duration power optimization.To be able to provide users with more intelligent solutions to optimize the management and reduce user interaction with this optimization software, the paper operating data use Markov model to predict the next user behavior for users to develop personalized white list based on user behavior history. Then classified according to each user behavior, combined with the white list according to the classification process to achieve the end result, management applications from the start, set the process space, cache cleaning mechanism and adjust CPU operation mode for the user to develop in line with user habits, while making optimal phone Personalized Intelligent Optimization of operating results.
Keywords/Search Tags:Android phones, fluency, battery duration power, intelligent
PDF Full Text Request
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