For each mode, we also show the percentage of total variance.
To judge the hybridization mode we also depict the sigma coordinates of the non-specific background intensity (N, red dots) and of the asymptotic saturation level (as, black dots) obtained from the standard hook analysis of each of the arrays.
To verify that QFP is a reasonable estimate of the Q factor for the hybrid plasmonic mode nanocavity, we also investigated the cavity modes for L=1500 nm on a thin substrate with t=5 nm and on a thick substrate with t=500 nm, as shown in Figure 6.
Modes 3 and 4 both showed activation of the SMN, but in Mode 3 we also found the pattern of DMN, while in Mode 4 we could have found the decreased activity in visual areas.
Furthermore, in view of a socially desirable mode choice, we also investigate the impacts of total travel demand and bus size on the convergence of the system to various fixed points associated with different targeted mode split.
For the MIC offload mode implementation, we also had to add several pragmas to the offload section so we could execute them on a MIC.
In order to obtain a single value reflecting the level of mode DIF, we also computed the minimum difference of each bound of the CrI from zero (referred to as Δ CrI).
Besides the power consumptions of active and sleep operating mode, we can also divide the power consumption of microcontroller into more detailed parts, including sleep, analog to digital conversion, SPI communications between transceiver and microcontroller, as illustrated in Figure 16.
During this interaction mode, we have also created some pitfalls on the displayed tags: along with the already validated tags that are shown, some incorrect tags have been added, to see how players react to them.
