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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
15 years 10 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
15 years 4 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
ICC
2009
IEEE
179views Communications» more  ICC 2009»
15 years 5 months ago
Distributed Power Control for Interference-Limited Cooperative Relay Networks
— In this paper, a distributed power control algorithm is proposed for wireless relay networks in interference-limited environments. The objective is to minimize the total transm...
Sheng Zhou, Hongda Xiao, Zhisheng Niu
76
Voted
USENIX
2003
14 years 11 months ago
In-Place Rsync: File Synchronization for Mobile and Wireless Devices
The open-source rsync utility reduces the time and bandwidth required to update a file across a network. Rsync uses an interactive protocol that detects changes in a file and se...
David Rasch, Randal C. Burns
103
Voted
NOSSDAV
2009
Springer
15 years 4 months ago
Random network coding on the iPhone: fact or fiction?
In multi-hop wireless networks, random network coding represents the general design principle of transmitting random linear combinations of blocks in the same “batch” to downs...
Hassan Shojania, Baochun Li
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