Abstract. The mutual exclusion protocol presented ensures that whatever perturbation the network undergo, it regains consistency in nite time: one and only one privilege token is p...
— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “task space” has proven to be an invaluable tool for designing feedback...
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Abstract--In this paper, we present a postsilicon-tuning technique to improve parametric yield of SRAM array using body bias (BB). First, we show that, although parametric failures...