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IPSN
2004
Springer
14 years 27 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ENTCS
2006
154views more  ENTCS 2006»
13 years 7 months ago
Quantitative Static Analysis Over Semirings: Analysing Cache Behaviour for Java Card
We present a semantics-based technique for modeling and analysing resource usage behaviour of programs written in a simple object oriented language like Java e code. The approach ...
Pascal Sotin, David Cachera, Thomas P. Jensen
DEDS
1998
152views more  DEDS 1998»
13 years 7 months ago
Timed Petri Nets in Hybrid Systems: Stability and Supervisory Control
In this paper, timed Petri nets are used to model and control hybrid systems. Petri nets are used instead of finite automata primarily because of the advantages they offer in de...
Xenofon D. Koutsoukos, Kevin X. He, Michael D. Lem...
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 8 months ago
Inverse modeling for open boundary conditions in channel network
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...
BMCBI
2004
323views more  BMCBI 2004»
13 years 7 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...