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ISLPED
2004
ACM
119views Hardware» more  ISLPED 2004»
14 years 3 months ago
Application-level prediction of battery dissipation
Mobile, battery-powered devices such as personal digital assistants and web-enabled mobile phones have successfully emerged as new access points to the world’s digital infrastru...
Chandra Krintz, Ye Wen, Richard Wolski
PERCOM
2006
ACM
14 years 9 months ago
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Roozbeh Jafari, Hyduke Noshadi, Majid Sarrafzadeh,...
DSN
2007
IEEE
14 years 4 months ago
Computing Battery Lifetime Distributions
The usage of mobile devices like cell phones, navigation systems, or laptop computers, is limited by the lifetime of the included batteries. This lifetime depends naturally on the...
Lucia Cloth, Marijn R. Jongerden, Boudewijn R. Hav...
SIGMETRICS
2010
ACM
227views Hardware» more  SIGMETRICS 2010»
14 years 2 months ago
Characterizing and modeling user activity on smartphones: summary
In this paper, we present a comprehensive analysis of real smartphone usage during a 6-month study of real user activity on the Android G1 smartphone. Our goal is to study the hig...
Alex Shye, Benjamin Scholbrock, Gokhan Memik, Pete...
IPSN
2005
Springer
14 years 3 months ago
Design considerations for solar energy harvesting wireless embedded systems
Abstract— Sustainable operation of battery powered wireless embedded systems (such as sensor nodes) is a key challenge, and considerable research effort has been devoted to energ...
Vijay Raghunathan, Aman Kansal, Jason Hsu, Jonatha...