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IPSN
2004
Springer
14 years 3 months 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
CDC
2008
IEEE
217views Control Systems» more  CDC 2008»
13 years 9 months ago
An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices
Traffic state estimation is a challenging problem for the transportation community due to the limited deployment of sensing infrastructure. However, recent trends in the mobile pho...
Daniel B. Work, Olli-Pekka Tossavainen, Sebastien ...
ALGORITHMICA
2007
132views more  ALGORITHMICA 2007»
13 years 9 months ago
On the Feasibility of Time Estimation under Isolation Conditions in Wireless Sensor Networks
We study the problem of providing a sensor with an accurate estimate of the time, from a novel perspective which is complementary to the well-studied clock synchronization problem....
Daniela Tulone
BMCBI
2006
175views more  BMCBI 2006»
13 years 9 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
TIM
2011
123views more  TIM 2011»
13 years 4 months ago
A Distributed Measurement Scheme for Internet Latency Estimation
—Estimating latency between the hosts in the Internet can play a significant role in the improvement of the performance of many services that use latency among hosts to make rout...
Negar Hariri, Behnoosh Hariri, Shervin Shirmohamma...