TY - GEN
T1 - A smartphone management method to save battery using Bayesian networks and fuzzy system
AU - Kim, Jun Ho
AU - Cho, Sung Bae
N1 - Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2015/12/22
Y1 - 2015/12/22
N2 - Conventional method for determining the policy to control devices have problems of the race condition of two contexts. It can be solved by combining the probabilities of contexts. In this paper, we propose a method to determine the device control policy from the contexts, which infers the necessity of devices using modular Bayesian networks, and decides the device control policy using fuzzy inference system. To evaluate the proposed method, we collected data with nine college students in two weeks and used the data to evaluate the accuracy of the proposed method. Also we conducted scenario based experiments with three graduate students in four days to confirm the battery saving effect. The proposed method shows 94.2% accuracy, and it saved 490mA more battery than the other method that use support vector machine in a day.
AB - Conventional method for determining the policy to control devices have problems of the race condition of two contexts. It can be solved by combining the probabilities of contexts. In this paper, we propose a method to determine the device control policy from the contexts, which infers the necessity of devices using modular Bayesian networks, and decides the device control policy using fuzzy inference system. To evaluate the proposed method, we collected data with nine college students in two weeks and used the data to evaluate the accuracy of the proposed method. Also we conducted scenario based experiments with three graduate students in four days to confirm the battery saving effect. The proposed method shows 94.2% accuracy, and it saved 490mA more battery than the other method that use support vector machine in a day.
UR - http://www.scopus.com/inward/record.url?scp=84964289057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964289057&partnerID=8YFLogxK
U2 - 10.1109/CIT/IUCC/DASC/PICOM.2015.189
DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.189
M3 - Conference contribution
AN - SCOPUS:84964289057
T3 - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
SP - 1274
EP - 1279
BT - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
A2 - Atzori, Luigi
A2 - Jin, Xiaolong
A2 - Jarvis, Stephen
A2 - Liu, Lei
A2 - Calvo, Ramon Aguero
A2 - Hu, Jia
A2 - Min, Geyong
A2 - Georgalas, Nektarios
A2 - Wu, Yulei
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
Y2 - 26 October 2015 through 28 October 2015
ER -