Computer simulators are used in science and technology to model physical processes or the behavior of real-world systems. Sensitivity analysis provides a useful tool for quantifying the impact of uncertainty in the computer simulator inputs on the computed output. We focus on global sensitivity analysis, which quantifies output uncertainty as all the inputs vary continuously over the input spac...

Nowadays, membrane processes are widely used for high purity Nitrogen production. Separation of air by membranes is a flexible process in which the investment and operational costs are lower than for example adsorption or cryogenic processes. Such processes are based on relative permeability of air components which are transported by the pressure difference between two sides of the membrane. M...

To properly characterize the frequency and time selectivity of the fading channel, there several models used to simulate the channel, most of them based in the Jake’s simulator. In this work the second order statistics of this simulator are compared to actual measurements. The second-order statistics level crossing rate (LCR) and average duration of fading (ADF) of a random process transmits us...

Two-dimensional (2-D) effects are becoming increasingly important in the diffusion of impurities in submicrometer silicon devices. Existing process simulators cannot accurately model some of these effects. We describe a 2-D process simulator PREDICT2 that handles implant damage effects, annealing, and lateral diffusion. PREDICT2 simulates the diffusion of impurities in silicon by using phenomen...

This paper discusses the development of a set of object-oriented modular simulation tools for solving lumped and spatially distributed models generated from chemical process design and simulation problems. Developed in the context of simulating semiconductor manufacture equipment, this framework reduces the software development cycle time associated with designing process systems and it improve...

Calibrating and validating a traffic simulation model for use on a transportation network is a process that depends on field data that is often limited, but essential for determining inputs to the model and for assessing its reliability. A quantification and systemization of the calibration/validation process exposes statistical issues inherent in the use of such data. Our purpose is to elucida...