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PERCOM
2007
ACM
14 years 7 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 4 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
EUROSYS
2006
ACM
14 years 4 months ago
On the road to recovery: restoring data after disasters
—Restoring data operations after a disaster is a daunting task: how should recovery be performed to minimize data loss and application downtime? Administrators are under consider...
Kimberly Keeton, Dirk Beyer 0002, Ernesto Brau, Ar...
EWSN
2010
Springer
14 years 4 months ago
Selective Reprogramming of Mobile Sensor Networks through Social Community Detection
Abstract. We target application domains where the behavior of animals or humans is monitored using wireless sensor network (WSN) devices. The code on these devices is updated frequ...
Bence Pásztor, Luca Mottola, Cecilia Mascol...
ICCAD
2007
IEEE
102views Hardware» more  ICCAD 2007»
14 years 4 months ago
Scalable exploration of functional dependency by interpolation and incremental SAT solving
Functional dependency is concerned with rewriting a Boolean function f as a function h over a set of base functions {g1, …, gn}, i.e. f = h(g1, …, gn). It plays an important r...
Chih-Chun Lee, Jie-Hong Roland Jiang, Chung-Yang H...
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