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The paper eventually presents mobile WiMAX system-level simulations that make use of the developed model.
The results from the LES calculation are compared with those from other simulations that make use of more approximate inflow conditions.
Finally, some mobile WiMAX system-level simulations that make use of the presented propagation model are presented to illustrate the applicability of the model for the study of femto- to macrointerference.
To address this problem, in this article we describe FReDoWS (Flexible-Receptor Docking Workflow System), a workflow-based methodology, developed to automate molecular docking simulations that make use of a FFR model.
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These data are the basis for forest carbon estimates in the FORCARB2 model, which is a forest carbon budget simulation model that makes estimates for U.S. forests primarily based on inventory data (10, 11).
The IFO ROI selected in this study appears to be a key location in the phenomenon of simulation that makes feeling an emotion, seeing that emotion on someone else's face and imagining that emotion somehow shares a similar feeling component.
To make it practicable, we need multilevel modeling and simulation methods that make it easy to test, reject, and refine many candidate design plans.
It is important to keep in mind that the field is developing extremely rapidly and methods of testing and evaluation are increasingly being integrated with complex models and simulations along with technological advances that make it possible to combine specific methods with the means of assessment to enable rapid structural health monitoring (SHM) in the field.
To this end, we have first calculated different figures of merit analytically, and then programmed a simulation environment that makes a complete performance evaluation of our HIPESYN process possible.
This paper presents a Monte Carlo simulation technique that makes explicit allowance for the probability-distributed nature of the key flood producing variables and the dependencies between them to determine derived flood frequency curves.
Current building energy simulation technology requires extensive labor, time and expertise to create building energy models, substantial computational time for accurate simulations, and generates data in formats that make results difficult to interpret.
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