Sentence examples for dynamic counterpart from inspiring English sources

The power-delay product of a simulated 8-input OR gate is reduced by 46%, compared to its conventional dynamic counterpart in the 90 nm CMOS technology.

The existence of the attenuating modes implies trapping of the part of the energy in the end zone of the shell and thus essentially represents the dynamic counterpart of the well known static Saint Venant effect.

on a time scale T. We unify the Rofe-Beketov formulas published recently in the literature for the second order Sturm-Liouville differential, difference, and dynamic equations and also for the linear Hamiltonian differential systems and we generalize them by establishing its dynamic counterpart for system ( S ).

Taken together, they suggest the existence of a dynamic counterpart to the universal scaling laws in magnitude and frequency distributions [7] [11].

Thus, from a perspective of the potential to harm individuals and research based on unfulfilled expectations, a broad consent strategy can be claimed to be more sober and ethically acceptable than its dynamic counterpart.

This paper examines the relationship between the static coupling between objects (CBO) metric and some of its dynamic counterparts.

Drawing on insights from the multi-level perspective, this article contrasts the relatively static automobility system with its more dynamic aeromobility counterpart and explores why evidence of an incipient transition is more apparent within the realm of aviation.

The performance of the simple and the wavelet coupled static MLPNN models is compared with their counterpart dynamic TLRNN models.

Please note that low-rank component represents the background information that is highly correlated across data captured at different time points and sparse component represents the dynamic and uncorrelated counterpart.

The results confirm that the plate will have stronger dynamic behavior than its counterpart when it is supported by a tensionless elastic foundation.

These concepts differ from their counterparts for dynamic systems in that they can be used to characterize individual variables and local behavior as well as system and global behavior.