American Journal of Information Science and Computer Engineering
Articles Information
American Journal of Information Science and Computer Engineering, Vol.1, No.2, Jul. 2015, Pub. Date: Jun. 16, 2015
An Energy Optimizing Model of Mobile Terminal Software Based on BP Neural Network
Pages: 53-58 Views: 1593 Downloads: 1026
[01] Zhengying Cai, College of Computer and Information Technology, China Three Gorges University, YiChang, China.
[02] Tengfei Zhan, College of Computer and Information Technology, China Three Gorges University, YiChang, China.
[03] Liwen Liu, College of Computer and Information Technology, China Three Gorges University, YiChang, China.
Software energy consumption of mobile terminal plays an important role in the continuous duty and stability of mobile business. Here an energy management model is built based on a multi-layer software structure and is described as a multi-variable function of energy consumption. The relation between software characteristics and energy consumption is discussed and analysed. Moreover the paper presents an optimal energy model by BP neural network for mobile software management, and lists the solving steps. The BP neural network can extract the component number from multi-layer software structure to optimize the energy consumption by multi-inputs. Lastly an experiment is designed for illustration and the results verify the proposed model, which can optimize the complex software energy by adaptive neurons and deduce the complexity of energy modelling.
Software Energy, Energy Modelling, BP Neural Network, Mobile Terminal
[01] Bai, Zhenchao; Wei, Gang; Liu, Xianhui; et al. Predictive model of energy cost in steelmaking process based on BP neural network [C]. 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE), Singapore, AUG 05-06, 2014, Proceedings Of The 2nd International Conference On Software Engineering, Knowledge Engineering And Information Engineering (SEKEIE 2014): Advances in Intelligent Systems Research, 2014 (114): 77-80.
[02] Bolla, Raffaele; Bruschi, Roberto; Lago, Paolo. Energy adaptation in multi-core software routers [J]. Computer Networks, 2014, 65(6): 111-128.
[03] Karmellos, M.; Kiprakis, A.; Mavrotas, G. A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies [J]. Applied Energy, 2015, 139(2): 131-150.
[04] Li, Gangmin; Shen, Zhun. A middleware architecture for price comparison service on mobile phones [C]. 1st International Conference on Information Technology and Quantitative Management (ITQM). (Suzhou, Peoples R China, May 16-18, 2013), 2013, 17: 545-553.
[05] Li, Yan; Hu, Xiaoqiang; Zeng, Liang. The application of mobile agent in mobile payment[C]. International Conference on Computer Science and Network Technology (ICCSNT). (Harbin Normal Univ, Harbin, Peoples R China, Dec 24-26, 2011), 2012, 1-4:1612-1616.
[06] Liu, Yan-jun; Liu, Zu-peng. Android development and mobile e-commerce research[C]. 2nd International Conference on Mechanical Engineering and Green Manufacturing (MEGM 2012 (Hunan Inst Engn, Chongqing, Mar 16-18, 2012), 2012, 155-156:430-434.
[07] Mishra, Abhishek; Tripathi, Anil Kumar. Energy efficient voltage scheduling for multi-core processors with software controlled dynamic voltage scaling [J]. Applied Mathematical Modelling, 2014, 38 (14): 3456-3466.
[08] Peng Min-jing; Li Bo; Liu Meng. A layered context-aware agent for mobile applications based on users needs hierarchy [C]. International Conference on Mechatronics and Semiconductor Materials (ICMSCM 2013). (Xian, PEOPLES R CHINA, SEP 28-29, 2013), 2014, 846-847: 1689-1692.
[09] Ruiz-Martinez, A.; Inmaculada Marin-Lopez, C; Sanchez-Martinez, D; SIPmsign: a lightweight mobile signature service based on the Session Initiation Protocol[J].Software-Practice & Experience,2014,44(5):511-535.
[10] Song, Jaeki; Kim, Junghwan; Jones, Donald R. Application discoverability and user satisfaction in mobile application stores: An environmental psychology perspective [J]. Decision Support Systems, 2014, 59:37-51.
[11] Sun, Jie; Ren, Wei'an. Research on mobile business value network and model construction [C]. International Conference on Mechatronics and Information Technology (ICMIT 2013). (Guilin, Peoples R China, Oct 19-20, 2013), 2014, 462-463: 849-855.
[12] Wang, Jiangjing; Jiang, Jiulei; He, Feng. Problem and countermeasure on the development of mobile electronic commerce in China[C]. International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011). (Hong Kong, Peoples R China, Dec 12-13, 2011), 2012, 127: 861-866.
[13] Xing, Jincheng; Ren, Peng; Ling, Jihong. Analysis of energy efficiency retrofit scheme for hotel buildings using eQuest software: A case study from Tianjin, China [J]. Energy and Buildings, 2015, 87(1): 14-24.
[14] Zhao, Jijun; Yao, Qiuyan; Ren, Danping; et al. A multi-domain control scheme for diffserv QoS and energy saving consideration in software-defined flexible optical networks [J]. Optics Communications, 2015, 341(4): 178-187.
[15] Zhu, Yuhao; Reddi, Vijay Janap. High-performance and energy-efficient mobile web browsing on big/little systems[C]. 19th IEEE International Symposium on High Performance Computer Architecture (HPCA). (Shenzhen, Peoples R China. Feb 23-27, 2013), 2013: 13-24.
MA 02210, USA
AIS is an academia-oriented and non-commercial institute aiming at providing users with a way to quickly and easily get the academic and scientific information.
Copyright © 2014 - American Institute of Science except certain content provided by third parties.