The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...
This article outlines several projects aimed at generating electrical energy by passively tapping a variety of human body sources and activities. After summarizing different energ...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Performance of applications can be boosted by executing application-specific Instruction Set Extensions (ISEs) on a specialized hardware coupled with a processor core. Many commer...
Partha Biswas, Sudarshan Banerjee, Nikil D. Dutt, ...
Two Simple structures of low-power Dual-edge triggered Static Pulsed Flip-Flops (DSPFF) are presented in this paper. They are composed of a dualedge pulse generator and a static f...