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Dynamic methods are based on executing the system model with simulations.
Figure 7 OCIF versus distance to the BS; comparison of the fluid model with simulations (average value and dispersion over snapshots) on a hexagonal network with.
Figure 5 OCIF versus distance to the BS; comparison of the fluid model with simulations on a two ring (a) and a five ring (b) hexagonal network.
Figure 6 OCIF versus distance to the BS; comparison of the fluid model with simulations assuming cell radii m and Km. Figure 7 shows the dispersion of at each distance for.
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We validate this theoretical model with simulation results.
We illustrate the utility of the refined model with simulation studies of seeding dynamics for a pandemic of influenza in Taiwan.
Bouley and colleagues matched these computer models with simulations and observations – their own and those of other scientists.
While there are some models of non-specific SoS, few attempts have been made to demonstrate these models with simulation.
Figure 3 A comparison of route optimality models with simulation resultsPacket routing probability through optimal/suboptimal paths [ 8 ]Optimal/suboptimal path discovery probabilities: analytical results.
To compare the results of the proposed route optimality models with simulation studies, we computed the probabilities that a given routing protocol routes a packet through optimal or suboptimal path.
Several simulation models combining microscopic traffic modelling with simulation of air pollution concentrations in street canyons [ 48- 51] make it feasible to calculate traffic-related air pollution by mapped personal trajectories.
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