We propose methodologies to train highly accurate and efficient deep convolutional neural networks (CNNs) for image super resolution (SR). A cascade training approach to deep learning is proposed to improve the accuracy of the neural networks while gradually increasing the number of network layers. Next, we explore how to improve the SR efficiency by making the network slimmer. Two methodologie...

In this paper, we consider the iterated trimming complex associated to data yielding a of length 3. We compute an explicit algebra structure in terms structures input data. Moreover, it is shown that many these products become trivial after descending homology. apply results problem realizability for Tor-algebras grade 3 perfect ideals, and show under mild hypotheses, process “trimming” ideal p...

This paper studies the effect of abrasive trimming on the electrical properties of Cu86Mn12Ni₂ Manganin alloy shunt resistors. A precision abrasive trimming system for fine tuning the resistance tolerance of high current Manganin shunt resistors is proposed. The system is shown to be capable of reducing the resistance tolerance of 100 μΩ shunts from their standard value of ±5% to <±1% by removi...

For many years beak trimming has been a controversial subject, particularly since the 1980’s when the practice came under close scrutiny by animal welfare groups. In Australia it is considered an essential practice, averting losses of AUD$17.5m annually by reducing mortality from cannibalism. While mortality in flocks from cannibalism can be reduced from 25% of the flock to virtually nil, the b...

We have investigated two process techniques: resist ashing and oxide hard mask trimming. A combination of ashing and trimming produces sub-30-nm MOSFET gate. These techniques require neither specific equipment nor materials. These can be used to fabricate experimental devices with line width beyond the limit of optical lithography or high-throughput -beam lithography. They provide 25-nm gate pa...