scholarly journals Experimental Demonstration of Anomalous Field Enhancement in All-Dielectric Transition Magnetic Metamaterials

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Jingbo Sun ◽  
Xiaoming Liu ◽  
Ji Zhou ◽  
Zhaxylyk Kudyshev ◽  
Natalia M. Litchinitser
Keyword(s):  
Field Enhancement ◽  
Experimental Demonstration ◽  
Anomalous Field ◽  
Dielectric Transition

Anomalous field enhancement from the superfocusing of surface plasmons at contacting silver surfaces

2002 ◽  
Vol 91 (5) ◽  
pp. 2965-2968 ◽  
Author(s):  
A. A. Lalayan ◽  
K. S. Bagdasaryan ◽  
P. G. Petrosyan ◽  
Kh. V. Nerkararyan ◽  
J. B. Ketterson
Keyword(s):  
Surface Plasmons ◽  
Field Enhancement ◽  
Anomalous Field ◽  
Silver Surfaces

Anomalous Field Enhancement in Planar Semiconducting Cold Cathodes from Spontaneous Ordering in the Accumulation Region

2000 ◽  
Vol 621 ◽  
Author(s):  
Griff L. Bilbro ◽  
Robert J. Nemanich
Keyword(s):  
Electron Affinity ◽  
Equations Of Motion ◽  
Field Enhancement ◽  
Wide Band ◽  
Analytic Approximation ◽  
Wide Band Gap ◽  
Accumulation Layer ◽  
Anomalous Field ◽  
Cold Cathodes ◽  
The Stability

ABSTRACTWide band gap semiconductors exhibit a low electron affinity and may prove suitable for cold cathode applications. We introduce a simple closed-form analytic approximation for the stability of electrons in the electron accumulation layer of planar Low Electron Affinity (LEA) semiconducting cathodes. This analysis extends our previous results, which used Runge-Kutta numerical integration of the linearized equations of motion for the electric potential and quasi Fermi level. The model shows conditions in which the electrons in the accumulation layer form a two dimensional array of regions of higher and lower electron density. This instability could lead to field enhancement without surface roughness and could account for observed electron emission at low applied fields.

Experimental Demonstration of 1200V IGBT Module for a Magnetic Energy Recovery Switch Application

2008 ◽  
Vol 128 (4) ◽  
pp. 677-682 ◽  
Author(s):  
Taku Takaku ◽  
Noriyuki Iwamuro ◽  
Yoshiyuki Uchida ◽  
Ryuichi Shimada
Keyword(s):  
Energy Recovery ◽  
Magnetic Energy ◽  
Experimental Demonstration ◽  
Igbt Module

Scanning-tunneling spectroscopy on conjugated polymer films

2003 ◽  
Vol 771 ◽  
Author(s):  
M. Kemerink ◽  
S.F. Alvarado ◽  
P.M. Koenraad ◽  
R.A.J. Janssen ◽  
H.W.M. Salemink ◽  
...  
Keyword(s):  
Polymer Films ◽  
Conjugated Polymer ◽  
Three Dimensional ◽  
Field Enhancement ◽  
Direct Consequence ◽  
Scanning Tunneling Spectroscopy ◽  
Tunneling Spectroscopy ◽  
Band Alignment ◽  
Scanning Tunneling ◽  
Order Of Magnitude

AbstractScanning-tunneling spectroscopy experiments have been performed on conjugated polymer films and have been compared to a three-dimensional numerical model for charge injection and transport. It is found that field enhancement near the tip apex leads to significant changes in the injected current, which can amount to more than an order of magnitude, and can even change the polarity of the dominant charge carrier. As a direct consequence, the single-particle band gap and band alignment of the organic material can be directly obtained from tip height-voltage (z-V) curves, provided that the tip has a sufficiently sharp apex.

Recognition of Birds in Blurred and Illumination Images by Local Features

2017 ◽  
Vol 7 (7) ◽  
pp. 243
Author(s):  
Suresha .M ◽  
. Sandeep
Keyword(s):  
Computer Vision ◽  
Time Complexity ◽  
Feature Detection ◽  
Feature Matching ◽  
Fast Algorithms ◽  
Local Features ◽  
Experimental Demonstration ◽  
Harris Corner ◽  
Blurred Image ◽  
Blurred Images

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.

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