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We have developed an extensive computer simulation, implemented in the OMNET++ simulator [25], to evaluate performance of the three cases: CSP, CSP using B-MAC, and CSP using ARPEES.
We simulate reticulate networks using a scheme similar to the coalescent simulation implemented in program ms (Hudson, 2002).
"Simulation results" section describes the simulation implemented to validate the solution and the obtained results are presented.
FPGA-based fault emulation, which is fault simulation implemented in FPGA, is an efficient way to accelerate fault simulation process.
We tested the functionality of our sample of the solar air heater for 50 weeks and obtained an agreement between the results of the numerical simulation, implemented using OpenFOAM (an open source numerical CFD software) and the experimental results.
The experiments were performed by simulation (implemented in Java), where the sensor field is composed of (n) sensor nodes, with a communication range of (r_c), that are distributed in a two-dimensional squared sensor field (Q = [0, s] times [0, s]).
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A software simulation implementing the above mentioned algorithm has been also developed and described together with an early experimentation case.
This simple rule leads to clustered axonal projections over separate patch systems, as shown in Figure 9 B. A video of a simulation implementing this growth rule is included as Supplementary Movie 6.
In addition to the analytical analysis, we have also carried out comprehensive simulations implemented by network simulator NS2 [10] to evaluate the performance of the proposed schemes.
We employ the Monte Carlo snapshot-based computer simulations implemented in MATLAB.
The adopted cross-slip rules are derived from atomistic simulations, implemented in the DD code using a kinetic Monte Carlo algorithm.
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