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The power gain in the transmitted region is illustrated as a function of angle for frequencies below the first cut-off.
The relation between the static and dynamic stiffnesses of the active pneumatic spring is illustrated as a function of the dimensionless parameters of the system and the excitation.
The boundary between active plasticity and elastic shakedown is illustrated as a function of tolerable strain ranges and the amount of strain hardening present.
In the computational part, the results were illustrated as a function of acoustic streaming behaviour, fluid flow pattern, gas/liquid volume fraction and turbulence in the two-phase system and finally the mass transfer coefficient was specified.
A regression model predicting the energy consumption of a typical office building was illustrated as a function of two indoor environment parameters, i.e., indoor air temperature and air ventilation rate.
The total root mean square displacements of a curved thin blade subjected to turbulent boundary layers were calculated and illustrated as a function of free stream velocity and damping ratio.
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The throughput performance is illustrated in Figure6 as a function of the total average signal energy per bit-to-AWGN power spectrum density ratio E b /N0, with and without convolutional channel coding.
The SINR degradation of ANC in the presence of PN is illustrated in Figure2 as a function of PN linewidth at the relay and destination, and average signal energy per bit-to-AWGN power spectrum density ratio E b / N0(= 0.5 × (1 + N g / N c ) × (E s / N0)) as a parameter.
The total utility of all users per time window under DIS Prediction and under DIS Greedy is illustrated in Figure3, as a function of the total downlink power P. We also compare these algorithms to the utility that could be achieved in a non-causal scenario; the curve labeled DIS NC is generated by using a similar dual iteration search algorithm applied to the non-causal problem.
Figure 6 illustrates MSE averages as a function of bias.
Figure 4 illustrates outage probability as a function of targeted capacity.
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