The goal is to develop an inverse model capable of simultaneously estimating the parameters appearing in an air pollution model for an instantaneous point source, by using measured gas concentration data. The approach taken was to develop the inverse model as a non-linear least squares estimation problem in which the source term is estimated using measurements of pollution concentration on the ...

A molecular dynamics algorithm in principal component space is presented. It is demonstrated that sampling can be improved without changing the ensemble by assigning masses to the principal components proportional to the inverse square root of the eigenvalues. The setup of the simulation requires no prior knowledge of the system; a short initial MD simulation to extract the eigenvectors and eig...

The local time-dependent surface heat transfer coefficients for plate finned-tube heat exchangers are estimated in a three-dimensional inverse heat conduction problem. The inverse algorithm utilizing the Steepest Descent Method (SDM) and a general purpose commercial code CFX4.4 is applied successfully in this study in accordance with the simulated measured temperature distributions on the fin s...

Inverse kinematics solutions for multi-DOF arms can be classified as analytical or numerical. In general, analytical solutions are preferable to numerical solutions because analytical ones yield complete solutions and are computationally fast and reliable. However, analytical closed-form solutions for inverse kinematics of 6-DOF arms rarely exist for real-time control purpose of fast moving arm...

—A common concern in solving the inverse problem of electrocardiography is how to efficiently assess the accuracy of the reconstruction algorithms under a wide variety of clinically relevant conditions. This paper describes a research testbed based on the SCIRun/ BioPSE computational steering software that allows rapid prototyping and evaluation of potential new algorithm improvements, as well ...

This paper proposes an independent component analysis (ICA) method using H∞ filters for nonminimum phase systems. In the basic ICA approach, the input signal is recovered by estimating the parameter of the inverse of the mixing system. If the system is nonminimum phase, the estimated parameter diverges due to the instability of the inverse. For this problem, a inverse filter is constructed base...