First, it assesses the time-dependent resilience of an engineered system by explicitly modeling the redundancy, robustness, and restoration of the system.
To solve the proposed model, since the redundancy allocation problem (RAP) belongs to the NP-hard class of optimization problems, a genetic algorithm (GA) is developed.
As opposed to recently proposed light field dictionaries, our method does not require a computationally expensive learning stage but rather models the redundancies of high dimensional visual signals using a tensor low-rank prior.
For this model, the average redundancy value is 0.26, the average communality value is 0.84, and the GoF value is 0.56, which exceeds the cut-off value in comparison with the baseline value as GoFsmall =0.1, GoFmedium =0.25, GoFlarge =0.36 [ 58].
Using Gaussian Mixture Models (GMM) the redundancy of setting the threshold is omitted.
Moreover, in order to fully benefit from time-domain processing, we propose a multicarrier signal model which includes the redundancy information induced by the cyclic prefix, thus leading to a significant performance improvement.
The results from modeled particle tracks depicted that some of the contaminant flow path lines consisted of more than one well, and thence, following the first LTM network optimization model statement relating the redundancy of more than one well on the same path line for specific aquifer type, the redundancy in the existing monitoring network was identified.
The main complexities are intricate circuit structures, nonlinear kinetics, the number of model components and the redundancy of component linkage [28], [29].
This observation demonstrates that the model accounts for the redundancy that both catalases and peroxiredoxins reduce H 2 O2.
