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The feasibility of the investigated methods is substantiated by system simulation using indoor and outdoor broadband wireless channel models.
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The dynamic behavior of the FIVIR is studied by multi-body system simulation using ADAMS software.
By performing dynamic system simulations using TRNSYS, the year-round performances of RCHS were thoroughly evaluated under different design factors including radiant panel type, ground thermal conductivity, borehole length and water heating demand.
The proposed SON functions were evaluated by system level simulations, using the SONLAB simulation environment (introduced in Section 5.2), with a realistic heterogeneous network topology.
Figure 2 Comparison of SER computed using analytical expressions (21), (22), and (23) with the estimates obtained by system simulation.
The performance of the system is examined by computer simulation using MATLAB software and Engineering Equations Solver.
Solving these two phenomena in the same time frame, the bone regeneration process in the bone scaffold system was predicted by computational simulation using a voxel finite element method.
The system has been tested by simulation using models implemented by Matlab/Simulink software.
In addition, the effectiveness of this device was confirmed by numerical simulation using a model system of a solution containing interferents.
The validity of the developed concept along with the effectiveness and viability of the control strategy in power system applications is confirmed by computer simulation using Matlab/Simulink for a medium voltage 1000hp FW-DFIM.
The triple-phase boundary (TPB) length in the model system is estimated by a Monte Carlo simulation using a simple cubic lattice model.
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