From the rupture directivity analysis based on the Rayleigh-wave phase-velocity and its Fourier spectrum, we were able to efficiently estimate the fault parameters for the 2008 Wenchuan earthquake, showing a unilateral faulting event.
Compared with the feature enhancement method performed by the fast kurtogram and corresponding optimal band pass filtering, the proposed method can efficiently extract the fault character in the varying speed condition with less amplitude attenuation.
Snap-stabilization is a versatile property which requires a distributed algorithm to efficiently tolerate transient faults.
In addition, the structures based on Lyapunov theory were able to deal more efficiently with the faults and the changes in the operating points of the nonlinear model of the system.
This article describes and evaluates search-based techniques, using evolution strategies and subset selection, for identifying regions of the input domain (known as subdomains) such that test cases sampled at random from within these regions can be used efficiently to find faults.
Results indicate that the proposed system efficiently satisfies the given fault tolerances.
We believe that the fuzzy interval model can be very efficiently used, especially in fault detection and in robust control design.
The results indicate that, under a parametrically optimized condition, an electric-arc of this kind can efficiently introduce rotational stacking faults to the as-synthesized flat FLG, which exhibits superior electron transport property than bulk graphite.
Instead of explicit enumeration of the BN, we use an extensible, implicit SAT-based ATPG approach to efficiently model and identify faults, and perform drug selection.
Therefore, the protection principle should ensure the calculation to be carried out efficiently in order to isolate fault as soon as possible.
