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Figures 4 and 5 show the intensity plots of the lacuna count and compactness, respectively, for each possible pairing of parameters.
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Finally, the optimal pair of parameters is selected.
Because truncation parameters proposed in the literature are interconnected, the other pair of parameters was recommended.
The optimal design is constructed for the estimation of several pairs of parameters.
Most pairs of parameters have strong linear correlation with a coefficient of 0.8 1.
Among the important engine design and operating parameters 10 critical parameters were selected assuming interactions between the pair of parameters.
Obviously, the radii of SWCNTs depend on a pair of parameters (n,m) as well as the inner shift.
The pairs of parameters for the two regression functions are (C=3.03, γ=9.76×10−4) for the regression function of permittivity and (C=73.5, γ=0.0118) for the function of thickness.
From the shuffling process mentioned above, we can see that the pair of parameters decides the order of shuffled message bits.
Several pairs of parameters generate similar results (for example, sets 2 and 3; sets 5 and 6; and sets 8 and 9), overlapping each other in Fig. 7.
Accordingly, two pairs of parameters should be used, one for NLOS severe (μ s and σ s ) and the other for NLOS weak (μ w and σw).
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