A smartphone management method to save battery using Bayesian networks and fuzzy system

Jun Ho Kim; Sung Bae Cho

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.189

A smartphone management method to save battery using Bayesian networks and fuzzy system

Jun Ho Kim, Sung Bae Cho

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	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
Editors	Luigi Atzori, Xiaolong Jin, Stephen Jarvis, Lei Liu, Ramon Aguero Calvo, Jia Hu, Geyong Min, Nektarios Georgalas, Yulei Wu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1274-1279
Number of pages	6
ISBN (Electronic)	9781509001545
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.189
Publication status	Published - 2015 Dec 22
Event	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 - Liverpool, United Kingdom Duration: 2015 Oct 26 → 2015 Oct 28

Publication series

Name	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

Other

Other	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
Country/Territory	United Kingdom
City	Liverpool
Period	15/10/26 → 15/10/28

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/CIT/IUCC/DASC/PICOM.2015.189

Cite this

Kim, J. H., & Cho, S. B. (2015). A smartphone management method to save battery using Bayesian networks and fuzzy system. In L. Atzori, X. Jin, S. Jarvis, L. Liu, R. A. Calvo, J. Hu, G. Min, N. Georgalas, & Y. Wu (Eds.), 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 (pp. 1274-1279). [7363233] (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). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.189

Kim, Jun Ho ; Cho, Sung Bae. / A smartphone management method to save battery using Bayesian networks and fuzzy system. 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. editor / Luigi Atzori ; Xiaolong Jin ; Stephen Jarvis ; Lei Liu ; Ramon Aguero Calvo ; Jia Hu ; Geyong Min ; Nektarios Georgalas ; Yulei Wu. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1274-1279 (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).

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title = "A smartphone management method to save battery using Bayesian networks and fuzzy system",

abstract = "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.",

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booktitle = "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",

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Kim, JH & Cho, SB 2015, A smartphone management method to save battery using Bayesian networks and fuzzy system. in L Atzori, X Jin, S Jarvis, L Liu, RA Calvo, J Hu, G Min, N Georgalas & Y Wu (eds), 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., 7363233, 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, Institute of Electrical and Electronics Engineers Inc., pp. 1274-1279, 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, Liverpool, United Kingdom, 15/10/26. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.189

A smartphone management method to save battery using Bayesian networks and fuzzy system. / Kim, Jun Ho; Cho, Sung Bae.

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. ed. / Luigi Atzori; Xiaolong Jin; Stephen Jarvis; Lei Liu; Ramon Aguero Calvo; Jia Hu; Geyong Min; Nektarios Georgalas; Yulei Wu. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1274-1279 7363233 (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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Kim, Jun Ho

AU - Cho, Sung Bae

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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.

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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

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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

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Kim JH, Cho SB. A smartphone management method to save battery using Bayesian networks and fuzzy system. In Atzori L, Jin X, Jarvis S, Liu L, Calvo RA, Hu J, Min G, Georgalas N, Wu Y, editors, 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. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1274-1279. 7363233. (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). doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.189

A smartphone management method to save battery using Bayesian networks and fuzzy system

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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