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ASPDAC
2008
ACM
174views Hardware» more  ASPDAC 2008»
13 years 7 months ago
Chebyshev Affine Arithmetic based parametric yield prediction under limited descriptions of uncertainty
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
Jin Sun, Yue Huang, Jun Li, Janet Meiling Wang
CHI
2007
ACM
14 years 6 months ago
Show me the way to Monte Carlo: density-based trajectory navigation
We demonstrate the use of uncertain prediction in a system for pedestrian navigation via audio with a combination of Global Positioning System data, a music player, inertial sensi...
Steven Strachan, John Williamson, Roderick Murray-...
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
14 years 8 days ago
Parameter estimation with expected and residual-at-risk criteria
In this paper we study a class of uncertain linear estimation problems in which the data are affected by random uncertainty. In this setting, we consider two estimation criteria,...
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El G...
MICCAI
2002
Springer
14 years 6 months ago
Stochastic Finite Element Framework for Cardiac Kinematics Function and Material Property Analysis
Abstract. A stochastic finite element method (SFEM) based framework is proposed for the simultaneous estimation of cardiac kinematics functions and material model parameters. While...
Pengcheng Shi, Huafeng Liu
WSC
1998
13 years 7 months ago
Getting Started in Simulation in Healthcare
To begin using simulation in healthcare, one must first recognize the types of problems or decisions that can best be analyzed using simulation. Once a problem has been identified...
Julie C. Lowery