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In Figure 22, it can be observed that varying the midpoint of the percolation region's width modifies the initially electrical conductivity for small values of volume fraction, but the maximum value can be achieved for any value of the midpoint.
In the case of the width of the percolation region (Figure 24), it has a reduced effect on the range of values of the volume fraction of the filler since the slope of the curve is more abrupt or not, although the maximum value of the conductivity is not affected by this parameter.
Parameters such as volume fraction of the filler, percolation threshold of the filler, critical exponent of percolation, conductivity of the filler, conductivity of the matrix, conductivity at the maximum packaging fraction of the filler, conductivity at the percolation threshold, packaging fraction of the filler, midpoint of the percolation region's width, and width of the percolation region were analyzed.
Achievable high data rate has been achieved to construct a highway system in [12], in which the corner effect can be a bottleneck of the capacity that the percolation high way exists and the symmetry networks like triangle and rectangle networks have been studied.
On the basis of such an observation, we build a small world routing strategy: if a node wants to communicate with a non-conterminous destination node, it simply hands its adaptive coded data packets through multiple paths selected using percolation method, greedy algorithm or other rules.
The uni-direction and bi-direction communications are then built between the source and the destination node based on percolation method and the six degrees of separation principle, and any node can reach everywhere in finite steps of relaying with a very high probability [6][15][16].
(2) The fire lifetimes, the fire durations for percolations to be completed.
It can be seen that the larger the simulation matrix, the smaller the number of required trials to achieve 100 percolations, though apparently this number tends to stabilize around 190.
Relationship Between Electrical and Rheological Percolations
Conductive polymer composites (CPCs) exhibit a series of unique features, such as comparatively low room temperature resistivity, a percolation phenomenon, resistivity sensitivity to temperature, pressure and gas, and a nonlinear voltage-current relationship (1-5).
It is important to determine the percolation threshold because the theological behavior of such composites is generally very different before and after the percolation threshold.
This work aims at comparing which of the rheological parameters such as complex viscosity ([eta]*), elastic modulus (G') and loss modulus (G") would be most efficient at determining the percolation threshold.