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Technical Details About The Simulation  
The simulation is a fairly simple FORTRAN program front-ended by an HTML form. John Rowe's Metaform system processes the submitted form, identifying and substituting variables. It is this mechanism that updates the sentence about the set-point program so that it describes the times and settings correctly. The browser reads the processed form and, by loading the graph, activates a second Perl script called Metagraph. Metagraph pipes parameter values from the form into the FORTRAN simulation code and passes the output to GNUPLOT which generates HPGL. This is converted to the GIF format to be displayed by the browser.
Submitted: Mar 29, 2000
Introduction to BSIM  
BSIM is a software package (i.e., a set of computer programs) designed to help develop ecosystem models. It is based on the idea that it is relatively easy to translate scientific concepts into a computer simulation model if you don't have to worry about the technical details that programming entails... All the complicated stuff which Fortran insists on is handled by BSIM system software; this includes subroutines for input, output, data manipulation, plotting, integration, and so on, as well as compilation, loading, and other machine-dependent processes.
Submitted: Mar 29, 2000
GAIA Model Base HSPF  
The Hydrological Simulation Program - FORTRAN (HSPF) is a comprehensive package for simulation of watershed hydrology and water quality for both conventional and toxic organic pollutants. HSPF incorporates the watershed-scale ARM and NPS models into a basin-scale analysis framework that includes fate and transport in one-dimensional stream channels. It is the only comprehensive model of watershed hydrology and water quality that allows the integrated simulation of land and soil contaminant runoff processes with in-stream hydraulic and sediment-chemical interactions.
Submitted: Mar 29, 2000
Vassilis Hajivassiliou  
Fortran routines for simulating rectangle multivariate normal probabilities and derivatives.
Submitted: Mar 29, 2000
This research is focused on developing an on-line control technique that is fast and reliable and can be used to maximize the performance of the tow placement technique. The thermoplastic tow placement is an emerging manufacturing technology that gives more flexibility in the design of parts and in cost reduction through on-line consolidation compared with autoclave processing. A control method is required to take advantage of these features. Therefore, recently developed process models are integrated into a neural-network based optimization package, which is capable of locating optimum setpoints in minimal time. A control algorithm with feedback from an IR thermal camera has been developed and is used to achieve the desired surface temperature. A feedforward neural network with a cascadien architecture is used to simulate the process. Simulation computations are now possible in less than a second, compared to around 20 minutes for the original FORTRAN simulation. This allows runn
Submitted: Mar 29, 2000

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