—This paper reports on the results of an experiment designed to study fine grain physiological responses of participants to an immersive virtual simulation of an urban environmen...
Andrea Brogni, Vinoba Vinayagamoorthy, Anthony Ste...
We investigate the use of Antithetic Variables, Control Variates and Importance Sampling to reduce the statistical errors of option sensitivities calculated with the Likelihood Ra...
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
This paper proposes an analytical model useful in the design of conveyor-based Automated Material Handling Systems (AMHS) to support semiconductor manufacturing. The objective is ...
Dima Nazzal, Andrew Johnson, Hector J. Carlo, Jesu...
We present a human body motion tracking system for an interactive virtual simulation training environment. This system captures images using IR illumination and near-IR cameras to ...