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PERCOM
2011
ACM
13 years 1 months ago
Using prediction to conserve energy in recognition on mobile devices
—As devices are expected to be aware of their environment, the challenge becomes how to accommodate these abilities with the power constraints which plague modern mobile devices....
Dawud Gordon, Stephan Sigg, Yong Ding, Michael Bei...
INFOCOM
2012
IEEE
12 years 21 days ago
Strategizing surveillance for resource-constrained event monitoring
—Surveillance systems, such as sensor networks and surveillance camera networks, have been widely deployed to monitor events in many different scenarios. One common way to conser...
Xi Fang, Dejun Yang, Guoliang Xue
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 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»
14 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...
ALGOSENSORS
2007
Springer
14 years 4 months ago
Counting Targets with Mobile Sensors in an Unknown Environment
Abstract. We consider the problem of counting the number of indistinguishable targets using a simple binary sensing model. Our setting includes an unknown number of point targets i...
Beat Gfeller, Matús Mihalák, Subhash...