Spectral tuning of double resonant nanolaminate plasmonic nanoantennas with a fixed size

2021 ◽  
Vol 118 (24) ◽  
pp. 241108
Author(s):  
E. Mejia ◽  
Y. Qian ◽  
S. A. Safiabadi Tali ◽  
J. Song ◽  
W. Zhou
Keyword(s):  
Spectral Tuning ◽  
Fixed Size ◽  
Plasmonic Nanoantennas

scholarly journals Fixed-size double-resonant nanolaminate plasmonic nanoantennas with wide spectral tunability and high optical cross-sections

Optik ◽  
2021 ◽  
Vol 230 ◽  
pp. 166332
Author(s):  
Yizhou Qian ◽  
Seied Ali Safiabadi Tail ◽  
Elieser Mejia ◽  
Wei Zhou
Keyword(s):  
Cross Sections ◽  
Fixed Size ◽  
Plasmonic Nanoantennas

Mining discriminative patches for script identification in natural scene images

2021 ◽  
Vol 40 (1) ◽  
pp. 551-563
Author(s):  
Liqiong Lu ◽  
Dong Wu ◽  
Ziwei Tang ◽  
Yaohua Yi ◽  
Faliang Huang
Keyword(s):  
Neural Networks ◽  
Experimental Results ◽  
The Other ◽  
Natural Scene ◽  
Fixed Size ◽  
Script Identification ◽  
Aspect Ratios ◽  
Novel Approach ◽  
Public Datasets ◽  
Natural Scene Images

This paper focuses on script identification in natural scene images. Traditional CNNs (Convolution Neural Networks) cannot solve this problem perfectly for two reasons: one is the arbitrary aspect ratios of scene images which bring much difficulty to traditional CNNs with a fixed size image as the input. And the other is that some scripts with minor differences are easily confused because they share a subset of characters with the same shapes. We propose a novel approach combing Score CNN, Attention CNN and patches. Attention CNN is utilized to determine whether a patch is a discriminative patch and calculate the contribution weight of the discriminative patch to script identification of the whole image. Score CNN uses a discriminative patch as input and predict the score of each script type. Firstly patches with the same size are extracted from the scene images. Secondly these patches are used as inputs to Score CNN and Attention CNN to train two patch-level classifiers. Finally, the results of multiple discriminative patches extracted from the same image via the above two classifiers are fused to obtain the script type of this image. Using patches with the same size as inputs to CNN can avoid the problems caused by arbitrary aspect ratios of scene images. The trained classifiers can mine discriminative patches to accurately identify some confusing scripts. The experimental results show the good performance of our approach on four public datasets.

scholarly journals The molecular mechanisms of light adaption in light-harvesting complexes of purple bacteria revealed by a multiscale modeling

2019 ◽  
Vol 10 (42) ◽  
pp. 9650-9662 ◽  
Author(s):  
Felipe Cardoso Ramos ◽  
Michele Nottoli ◽  
Lorenzo Cupellini ◽  
Benedetta Mennucci
Keyword(s):  
Multiscale Modeling ◽  
Molecular Mechanisms ◽  
Light Harvesting ◽  
Purple Bacteria ◽  
Spectral Tuning ◽  
Light Harvesting Complexes

The spectral tuning of LH2 antenna complexes arises from H-bonding, acetyl torsion, and inter-chromophore couplings.

Sierpin´ski fractal plasmonic nanoantennas

2011 ◽  
Vol 5 (5-6) ◽  
pp. 175-177 ◽  
Author(s):  
Lorenzo Rosa ◽  
Kai Sun ◽  
Saulius Juodkazis
Keyword(s):  
Plasmonic Nanoantennas
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