D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3171268
Abstract: To enable energy-efficient computation for deep neural networks (DNNs) at edge, computing-in-memory (CIM) is proposed to reduce the energy costs during intense off-chip memory access. However, CIM is prone to multiply-accumulate (MAC) errors due to… read more here.
Keywords: non idealities; framework; data driven; driven non ... See more keywords
PMU-Driven Non-Preemptive Disconnection of Overhead Lines at the Approach or Break-Out of Forest Fires
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2022.3160363
Abstract: The number and intensity of forest fires in the United States have been steadily increasing and causing massive economic and ecological damage. Overhead transmission and distribution lines are typically disconnected preemptively near fires, a practice… read more here.
Keywords: overhead lines; disconnection overhead; pmu driven; driven non ... See more keywords
Approximation of the stochastic 2D hydrodynamical type systems driven by non-Gaussian Lévy noise
Sign Up to like & getrecommendations! Published in 2017 at "Stochastics and Dynamics"
DOI: 10.1142/s0219493717500484
Abstract: We propose and analyze a numerical scheme for the approximation of the solution for the stochastic 2D hydrodynamical type systems driven by non-Gaussian Levy noise. We prove the convergence of the scheme which is a… read more here.
Keywords: hydrodynamical type; driven non; type systems; systems driven ... See more keywords