(d) Purcell factor plotted as a function of the cross-sectional area.
Figure 3 Distance, as a function of the cross-over probability, in a scenario with sensors and binary quantization.
We used this model to understand damage initiation and propagation as a function of the cross-link density between tropocollagen molecules.
Figure 7 Distance, as a function of the cross-over probability, in a scenario with binary quantization and simplified detection algorithm.
(c) Q factors at 40 K (black) and mode volumes (red) plotted as a function of the cross-sectional area, w × d.
In Figure 7(a), we investigate the distance, as a function of the cross-over probability, in a scenario with binary quantization.
The use of a symbolic computation allows approximate expressions to be obtained for all energy quantities as a function of the cross-spectral densities of the microphone signals.
Here, we consider the surface ageing of PEDOT PSS when it is stored in environments with various relative humidity and temperature conditions and as a function of the cross-linking agent's (3-glycidoxypropyltrimethoxysilane) concentration.
To achieve this, psychophysical thresholds and steady-state responses (SSRs) were measured for acoustic and vibrotactile amplitude modulated (AM) stimulation for 21 and 40 Hz AM rates as a function of the cross-modal correspondence.
In Figure 5(d), the Purcell factors, F, were calculated as a function of the cross-sectional area using the following equation [32]: F = 3 4 π 2 λ n 3 Q V (2).
In Figure 3, the distance is shown, as a function of the cross-over probability, in a scenario with sensors and binary quantization in this case, the communication links are modeled as BSCs.
