Accelerating Deep Learning with a Parallel Mechanism Using CPU + MIC
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-017-0535-9
Abstract: Deep neural networks (DNNs) is one of the most popular machine learning methods and is widely used in many modern applications. The training process of DNNs is a time-consuming process. Accelerating the training of DNNs… read more here.
Keywords: accelerating deep; cpu mic; parallel mechanism; deep learning ... See more keywords
A Passive RFC (Reaction Force Compensation) Mechanism Using Adjustable Piecewise Linear Stiffness of Pre-Compressed Springs
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Precision Engineering and Manufacturing"
DOI: 10.1007/s12541-018-0155-3
Abstract: Nonlinear elements are used when a mechanical system has different performance requirements according to its positions. Piecewise linear system is widely used to investigate and to approximate nonlinear elements. So far, just springs with constant… read more here.
Keywords: passive rfc; compressed springs; pre compressed; mechanism using ... See more keywords
Characterization of the ExoU activation mechanism using EPR and integrative modeling
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DOI: 10.1038/s41598-020-76023-3
Abstract: ExoU, a type III secreted phospholipase effector of Pseudomonas aeruginosa, serves as a prototype to model large, dynamic, membrane-associated proteins. ExoU is synergistically activated by interactions with membrane lipids and ubiquitin. To dissect the activation… read more here.
Keywords: activation mechanism; activation; mechanism using; exou activation ... See more keywords