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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Resampling And Super-Resolution Of Hexagonally Sampled Images Using Deep Learning, Dylan Flaute, Russell C. Hardie, Hamed Elwarfalli
Resampling And Super-Resolution Of Hexagonally Sampled Images Using Deep Learning, Dylan Flaute, Russell C. Hardie, Hamed Elwarfalli
Electrical and Computer Engineering Faculty Publications
Super-resolution (SR) aims to increase the resolution of imagery. Applications include security, medical imaging, and object recognition. We propose a deep learning-based SR system that takes a hexagonally sampled low-resolution image as an input and generates a rectangularly sampled SR image as an output. For training and testing, we use a realistic observation model that includes optical degradation from diffraction and sensor degradation from detector integration. Our SR approach first uses non-uniform interpolation to partially upsample the observed hexagonal imagery and convert it to a rectangular grid. We then leverage a state-of-the-art convolutional neural network (CNN) architecture designed for SR …
The Physics Of Fire By Friction, Bradley D. Duncan
The Physics Of Fire By Friction, Bradley D. Duncan
Electrical and Computer Engineering Faculty Publications
In what follows I will attempt to produce a rigorous, macroscopic, time averaged model of the process of creating fire by friction – up to the point of initial ember formation. I will employ reasonable, practical approximations with the goal of developing mathematical results that are experimentally verifiable. Although force, velocity, pressure and the like are actually vector quantities, due to the symmetry of the problem I will perform a scalar analysis only. Also, to simplify the analysis I will assume that the assortment of variables we will encounter are independent. Mostly this assumption is valid, though on occasion I …