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A more robust pre-clinical wear simulation framework is required in order to simulate wider and higher ranges of activities, observed in different patient populations such as younger more active patients.
A simulation framework is developed to generate 10,000 years of simulated hurricane events and a synthetic hurricane wind speed database for the state of Texas, using state-of-the-art hurricane modeling techniques and information extracted from historical hurricane data.
The simulation framework is built up with a controller prototype, a traffic simulator, and a network simulator.
The overall simulation framework is presented in Fig. 1.
The key component of this simulation framework is the dispatch strategy.
This simulation framework is combined with single-pass reliability analysis approach to implement the evolutionary algorithm.
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To test the algorithm, a simple PET-Monte-Carlo simulation framework was set up: we simulated a PET system with two SPUs (six stacks each) opposite each other and applied geometric shifts (0.6 mm FWHM) to each stack on each SPU.
A simulation framework was used for the evaluation of various scenarios.
The initial Jeffries Simulation Framework was developed by Jeffries and Rogers in 2007 to guide the evolving simulation-based education.
The Monte Carlo simulation framework was designed as a two-step sampling procedure based on Bernoulli and Normal distributions.
An object-oriented, individual-based simulation framework was developed for modeling the diffusion of genetic material in subdivided populations.
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