GemSIM, or General Error-Model based SIMulator, is a next-generation sequencing simulator capable of generating single or paired-end reads for any sequencing technology compatible with the generic formats SAM and FASTQ (including Illumina and Roche/454).
This paper describes the development of physical modeling based simulators in the Simulink©/Simscape™ environment as interactive tools to validate regulators in Automatic Control.
The device characteristics produced by the proposed model are verified with the Monte Carlo based simulator SIMON and good agreement is observed.
This paper presents a model based hardware simulator to emulate a photovoltaic (PV) array/module for all operating conditions.
This paper introduces a virtual simulation environment using rigorous model based dynamic simulator, multi-variable model predictive optimizing control and online optimizer, each of which is commercially available.
Some of the results are also compared with the fire dynamics simulator model based on large eddy simulation developed at the Building and Fire Research Laboratory, National Institute of Standards and Technology, USA.
A stochastic model based on a Monte-Carlo simulator was developed to analyze the effects of relevant parameters on the aerodynamic size of the particles; modeled results were verified by comparison to measured aerodynamic size distributions of spray-dried powders.
They build on established standards like BioPAX or SBML [ 2] to facilitate the exchange and comparison of models and benefit from a large number of available tools, especially ODE integration based simulators.
To study and verify the output characteristics of the grid simulator, a grid simulation model based on Fig. 1 was built.
Coalescent based simulators have the advantage of being more computational efficient than forward simulators, however the constraints of the coalescent sometimes make it more difficult to model complex evolutionary phenomena.
