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IPSN
2004
Springer
15 years 12 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
ICCSA
2004
Springer
16 years 4 hour ago
Molecular Simulation of Reaction and Adsorption in Nanochemical Devices: Increase of Reaction Conversion by Separation of a Prod
We present a novel simulation tool to study fluid mixtures that are simultaneously chemically reacting and adsorbing within a molecularly porous material. The method is a combinat...
William R. Smith, Martin Lísal
AROBOTS
2002
115views more  AROBOTS 2002»
15 years 6 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
IMC
2009
ACM
16 years 1 months ago
Triangle inequality variations in the internet
Triangle inequality violations (TIVs) are important for latency sensitive distributed applications. On one hand, they can expose opportunities to improve network routing by findi...
Cristian Lumezanu, Randolph Baden, Neil Spring, Bo...
ECIS
2000
15 years 8 months ago
Retailing Digital Products
Current research activities in the area of trading digital products usually focus on specific legal or technical problems, neglecting the underlying business models and their impl...
Redmer Luxem, Lars H. Ehlers