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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 郭大維 | |
dc.contributor.author | Xian-Ren Wu | en |
dc.contributor.author | 吳現任 | zh_TW |
dc.date.accessioned | 2021-06-15T11:22:23Z | - |
dc.date.available | 2022-01-07 | |
dc.date.copyright | 2017-01-07 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-08-18 | |
dc.identifier.citation | [1] Apple, iphone. http://www.apple.com/iphone.
[2] N. Balasubramanian, A. Balasubramanian, and A. Venkataramani. Energy consumption in mobile phones: a measurement study and implications for network applications. In Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference, pages 280–293. ACM, 2009. [3] A. K. Bhowmik and R. J. Brennan. System-level display power reduction technologies for portable computing and communications devices. In Proc. IEEE Int. Conf. Portable Information Devices, pages 1–5, 2007. [4] A. Carroll and G. Heiser. An analysis of power consumption in a smartphone. In USENIX annual technical conference, volume 14. Boston, MA, 2010. [5] M. Dong and L. Zhong. Chameleon: a color-adaptive web browser for mobile oled displays. IEEE Transactions on Mobile Computing, 11(5):724–738, 2012. [6] H. Falaki, R. Mahajan, S. Kandula, D. Lymberopoulos, R. Govindan, and D. Estrin. Diversity in smartphone usage. In Proceedings of the 8th international conference on Mobile systems, applications, and services, pages 179–194. ACM, 2010. [7] H. Han, J. Yu, H. Zhu, Y. Chen, J. Yang, G. Xue, Y. Zhu, and M. Li. E 3: energy-efficient engine for frame rate adaptation on smartphones. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, page 15. ACM, 2013. [8] D. Kim, N. Jung, and H. Cha. Content-centric display energy management for mobile devices. In Proceedings of the 51st Annual Design Automation Conference, pages 1–6. ACM, 2014. [9] C.-H. Lin, Y.-M. Chang, P.-C. Hsiu, and Y.-H. Chang. Energy stealing-an exploration into unperceived activities on mobile systems. In Low Power Electronics and Design (ISLPED), 2015 IEEE/ACM International Symposium on, pages 261–266. IEEE, 2015. [10] B. Mochocki, K. Lahiri, and S. Cadambi. Power analysis of mobile 3d graphics. In Proceedings of the conference on Design, automation and test in Europe: Proceedings, pages 502–507. European Design and Automation Association, 2006. [11] K. W. Nixon, X. Chen, H. Zhou, Y. Liu, and Y. Chen. Mobile gpu power consumption reduction via dynamic resolution and frame rate scaling. In 6th Workshop on Power-Aware Computing and Systems (HotPower 14), 2014. [12] A. Pathania, Q. Jiao, A. Prakash, and T. Mitra. Integrated cpugpu power management for 3d mobile games. In 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC), pages 1–6. IEEE, 2014. [13] A. Shye, B. Scholbrock, and G. Memik. Into the wild: studying real user activity patterns to guide power optimizations for mobile architectures. In Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture, pages 168–178. ACM, 2009. [14] A. Shye, B. Scholbrock, G. Memik, and P. A. Dinda. Characterizing and modeling user activity on smartphones: summary. In ACM SIGMETRICS Performance Evaluation Review, volume 38, pages 375–376. ACM, 2010. [15] K. W. Tan, T. Okoshi, A. Misra, and R. K. Balan. Focus: a usable & effective approach to oled display power management. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pages 573–582. ACM, 2013. [16] N. Thiagarajan, G. Aggarwal, A. Nicoara, D. Boneh, and J. P. Singh. Who killed my battery?: analyzing mobile browser energy consumption. In Proceedings of the 21st international conference on World Wide Web, pages 41–50. ACM, 2012. [17] Y. Yan, S. He, Y. Liu, and L. Huang. Optimizing power consumption of mobile games. In Proceedings of the Workshop on Power-Aware Computing and Systems, pages 21–25. ACM, 2015. [18] C. Yoon, D. Kim, W. Jung, C. Kang, and H. Cha. Appscope:Application energy metering framework for android smartphone using kernel activity monitoring. In Presented as part of the 2012 USENIX Annual Technical Conference (USENIX ATC 12), pages 387–400, 2012. [19] L. Zhang, B. Tiwana, Z. Qian, Z. Wang, R. P. Dick, Z. M. Mao, and L. Yang. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis, pages 105– 114. ACM, 2010. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/49291 | - |
dc.description.abstract | 在本文中,我們的目標是使用行動裝置時,做好視覺質量和能源效率之間合適的權衡。我們評估多種類型的應用程序,包括遊戲,新聞和視頻,我們在執行應用程序時控制視覺質量的兩個重要因素:解析度和畫面每秒幀數。與此同時,我們使用功率監測器來測量所述行動裝置的功耗。本文提出一項能藉由修改Android框架後,去控制畫面每秒幀數和解析度的機制,找出適合的方式去做調整,在達到節能效果的同時,提供適合的視覺品質給使用者,實驗結果表明,該方法是值得發展的。 | zh_TW |
dc.description.abstract | To provide high visual quality when a user interacts with a mobile device, resolution and frame rate are usually fixed at high levels for mobile devices. Consequently, energy consumption of mobile devices increases drastically. In this paper we investigate the trade-off between visual quality and energy efficiency on mobile devices. First, we propose a mechanism to control refresh rate and resolution of the device. Targeting at multiple types of mobile applications including games, news, and videos, we measured energy consumption of the application under different levels of visual quality, which is represented as a combination of refresh rate and resolution. The experimental results show that the proposed mechanism can save up to 53.4% energy consumption. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T11:22:23Z (GMT). No. of bitstreams: 1 ntu-105-R03922017-1.pdf: 2210063 bytes, checksum: ef81cea0bc67156fbd47301e5080d687 (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 口試委員會審定書…………………………………………………….i
中文摘要……………………………………………………………….ii 英文摘要……………………………………………………………….iii 1. Introduction …………………………………………………………..1 2. Background and Motivation………………………………………….4 3. Exploration of Trading Visual Quality for Energy Efficiency……….7 3.1 Refresh Rate Scaling and Resolution Scaling………………….7 3.1.1 Refresh Rate Scaling…………………………………….7 3.1.2 Resolution Scaling………………………………………9 3.2 Experiment Setup……………………………………………...10 3.3 Observation and Analysis……………………………………..11 3.3.1 Refresh Rate Scaling……………………………………11 3.3.2 Resolution Scaling……………………………………...13 3.3.3 Proposed Mechanism Observation and Analysis………14 3.4 Limitation of Proposed Mechanism…………………………..17 4. Conclusion………………………………………………………….18 參考文獻………………………………………………………………19 | |
dc.language.iso | en | |
dc.title | 行動裝置上視覺品質與能耗間取捨之量測 | zh_TW |
dc.title | A Study of Trading Visual Quality for Energy Efficiency on Mobile Devices | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 修丕承 | |
dc.contributor.oralexamcommittee | 薛智文,洪士灝,張原豪 | |
dc.subject.keyword | 視覺品質、耗能、解析度、畫面每秒幀數、垂直同步機制, | zh_TW |
dc.subject.keyword | visual quality, energy consumption, resolution, refresh rate, frame rate, V-Sync, | en |
dc.relation.page | 13 | |
dc.identifier.doi | 10.6342/NTU201600248 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-08-19 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
顯示於系所單位: | 資訊工程學系 |
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ntu-105-1.pdf 目前未授權公開取用 | 2.16 MB | Adobe PDF |
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