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230
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ICARCV
2002
IEEE
149views Robotics» more  ICARCV 2002»
15 years 11 months ago
A fast method to simulate virtual deformable objects with force feedback
In this paper, we propose solutions to real time simulation and interaction of deformable objects in virtual reality. Firstly, we present LEM - Long Element Method, a method creat...
Kenneth Sundaraj, César Mendoza, Christian ...
206
Voted
ANSS
1996
IEEE
15 years 11 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
205
Voted
MMS
2008
15 years 6 months ago
Evalvid-RA: trace driven simulation of rate adaptive MPEG-4 VBR video
Due to the increasing deployment of conversational real-time applications like VoIP and videoconferencing, the Internet is today facing new challenges. Low end-to-end delay is a vi...
Arne Lie, Jirka Klaue
207
Voted
CAL
2002
15 years 6 months ago
MinneSPEC: A New SPEC Benchmark Workload for Simulation-Based Computer Architecture Research
Abstract-- Computer architects must determine how to most effectively use finite computational resources when running simulations to evaluate new architectural ideas. To facilitate...
A. J. KleinOsowski, David J. Lilja
198
Voted
JCNS
1998
134views more  JCNS 1998»
15 years 6 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez