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Software Techniques in the Compromise of Energy and Accuracy


Abstract Software has a great impact on the energy efficiency of any computing system--it can manage the components of a system efficiently or inefficiently. The impact of software is amplified in the context of a wearable computing system used for activity recognition. The design space this platform opens up is immense and encompasses sensors, feature calculations, activity classification algorithms, sleep schedules, and transmission protocols. Design choices in each of these areas impact energy use, overall accuracy, and usefulness of the system. This thesis explores methods software can influence the trade-off between energy consumption and system accuracy. In general the more energy a system consumes the more accurate will be. We explore how fin... (more)
Created Date 2014
Contributor Boyd, Jeffrey (Author) / Sundaram, Hari (Advisor) / Li, Baoxin (Advisor) / Shrivastava, Aviral (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Subject Computer science / Energy
Type Masters Thesis
Extent 97 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note M.S. Computer Science 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis