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A more realistic random field representation of the material uncertainties is achieved, compared to classical scalar random variable approaches.
Fifthly and lastly, we conducted simulations on more realistic random topologies with a large number of nodes.
Through random topology simulations, we will demonstrate the convergence property of the proposed fair rate control algorithm in more realistic random topologies.
We devised a distributed fair rate control algorithm that solves the formulated model and evaluated it in terms of fairness, convergence, and total network utility in both grid and more realistic random topologies.
It became clear that further theoretical investigations are required to incorporate adequate tools for description of more realistic random processes, which are described by a set of characteristic exponents and are therefore of multifractional type.
However, a more realistic random control is to also keep the degree distribution the same as the real PPI network (i.e., to preserve the truncated power-law distribution [32]).
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As there is always acquisition noise introduced into the camera outputs, in order to make the simulation more realistic, simulated random shot noise and quantization noise are introduced.
The effects of these singularities on a more realistic system with random uncertainties is then presented.
In the proposed scheme, we take into account a more realistic environment of random movement of MSs in IEEE 802.16j multi-hop relay network systems.
A more realistic model of random codon order, taking into account the observed codon preference of the sequences, probably would yield higher expected repeat frequencies.
The more realistic UWB channel is random which significantly affects the BER performance compared with constant channels.
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