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Fig. 2 Comparison of power consumption metric in different approaches Fig. 3 Comparison of power efficiency in different approaches.
Fig. 15 A comparison of power consumption for different device states [144].
The comparison of power consumption at different loads is graphically represented in Figure 3.
The methodology is eminently suitable for comparison of power converter with different topologies.
A comparison of power consumption and maximum attainable frequency between both technologies is performed.
Comparison of power spectra between the GRIMM and xCHAOS static core field (CF), secular variation (SV) and acceleration (SA).
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Comparison of power-law parameters of fresh (zero shearing time) HPAM solutions showed that by increasing concentration, values of K increased and n values decreased, indicating increased non-Newtonian behavior.
Comparison of power-law fitting and probabilistic modeling of depth-diameter relations shows that probabilistic methods complement regression models and are necessary for robust prediction of SLC depths from diameter (and vice versa) for different geological targets.
Open image in new window Fig. 6 Comparisons of power flow PDF between original scenarios and probabilistic equivalent model.
The mean power across all scenarios is shown in the last column of Table 1. Figure 1 displays pairwise comparisons of power, for all methods, across all simulated scenarios.
For comparisons of power spectra between groups, a nonparametric Wilcoxon rank sum test for each frequency point was used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com