Embedded Power Optimization Method Based on User Behavior

Authors

Wang Hai, School of Information Science and Technology, Northwest University, Xi'an 710127, China;
Gao Ling, School of Information Science and Technology, Northwest University, Xi'an 710127, China;
Dongqi Chen, School of Information Science and Technology, Northwest University, Xi'an 710127, China;
Ren Jie, School of Information Science and Technology, Northwest University, Xi'an 710127, China;

Abstract

Abstract: In recent years, with the rapid development of embedded device represented by mobile phone and tablet computer, low power technology has been one of the hotspots in the embedded research field. Because the battery capacity of embedded device is limited due to its restricted volume and weight, there are often users suffering the problem that their phone battery being dead. There are many research directions in embedded low power field at present. The relationship between low power and user behavior recognition was aimed, which started with recognizing user behavior using machine learning and then obtains the user’s daily usage habits in specific behavior. Part of device components could be turned off or Dynamic Interactive Optimize Strategy was applied to reduce the power consumption.

Recommended Citation

Hai, Wang; Ling, Gao; Chen, Dongqi; and Jie, Ren (2020) "Embedded Power Optimization Method Based on User Behavior," Journal of System Simulation: Vol. 27: Iss. 2, Article 14.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss2/14

First Page

320

Revised Date

2014-10-26

DOI Link

https://doi.org/

Last Page

326

CLC

TP3-05

Recommended Citation

Wang Hai, Gao Ling, Chen Dongqi, Ren Jie. Embedded Power Optimization Method Based on User Behavior[J]. Journal of System Simulation, 2015, 27(2): 320-326.