Lattice stress and electrically active defects induced by ion channelling in the initial layers of III-V compounds

2020 ◽  
pp. 751-756
Author(s):  
P. Franzosi ◽  
L. Lazzarini ◽  
R. Mosca ◽  
G. Salviati ◽  
M. Berti ◽  
...  
Keyword(s):  
Initial Layers

scholarly journals Bottom-up and Layerwise Domain Adaptation for Pedestrian Detection in Thermal Images

2021 ◽  
Vol 17 (1) ◽  
pp. 1-19
Author(s):  
My Kieu ◽  
Andrew D. Bagdanov ◽  
Marco Bertini
Keyword(s):  
Domain Adaptation ◽  
State Of The Art ◽  
Pedestrian Detection ◽  
Challenging Problem ◽  
Top Down ◽  
Bottom Up ◽  
Security Applications ◽  
Lighting Conditions ◽  
Initial Layers ◽  
Single Modality

Pedestrian detection is a canonical problem for safety and security applications, and it remains a challenging problem due to the highly variable lighting conditions in which pedestrians must be detected. This article investigates several domain adaptation approaches to adapt RGB-trained detectors to the thermal domain. Building on our earlier work on domain adaptation for privacy-preserving pedestrian detection, we conducted an extensive experimental evaluation comparing top-down and bottom-up domain adaptation and also propose two new bottom-up domain adaptation strategies. For top-down domain adaptation, we leverage a detector pre-trained on RGB imagery and efficiently adapt it to perform pedestrian detection in the thermal domain. Our bottom-up domain adaptation approaches include two steps: first, training an adapter segment corresponding to initial layers of the RGB-trained detector adapts to the new input distribution; then, we reconnect the adapter segment to the original RGB-trained detector for final adaptation with a top-down loss. To the best of our knowledge, our bottom-up domain adaptation approaches outperform the best-performing single-modality pedestrian detection results on KAIST and outperform the state of the art on FLIR.

scholarly journals Initial layers and zero-relaxation limits of Euler–Maxwell equations

2012 ◽  
Vol 252 (2) ◽  
pp. 1441-1465 ◽  
Author(s):  
Mohamed-Lasmer Hajjej ◽  
Yue-Jun Peng
Keyword(s):  
Maxwell Equations ◽  
Initial Layers

Influence of the initial layers on the optical and electrical properties of ITO films

2001 ◽  
Vol 17 (1-2) ◽  
pp. 291-294 ◽  
Author(s):  
A. Amaral ◽  
P. Brogueira ◽  
C. Nunes de Carvalho ◽  
G. Lavareda
Keyword(s):  
Electrical Properties ◽  
Optical And Electrical Properties ◽  
Initial Layers ◽  
Ito Films

Nucleation Mechanism of Microcrystalline Silicon Studied by Real Time Spectroscopic Ellipsometry and Infrared Spectroscopy

2000 ◽  
Vol 609 ◽  
Author(s):  
Hiroyuki Fujiwara ◽  
Yasutake Toyoshima ◽  
Michio Kondo ◽  
Akihisa Matsuda
Keyword(s):  
Plasma Treatment ◽  
Real Time ◽  
Spectroscopic Ellipsometry ◽  
Nucleation Mechanism ◽  
Total Reflection ◽  
Attenuated Total Reflection ◽  
Reflection Spectroscopy ◽  
Microcrystalline Silicon ◽  
Strained Si ◽  
Initial Layers

ABSTRACTWe have characterized a-Si:H initial layers for μc-Si:H nucleation by real time spectroscopic ellipsometry (SE) and infrared attenuated total reflection spectroscopy (ATR) to investigate the μc-Si:H formation mechanism. By performing Ar plasma treatment of a-Si:H layers, we confirmed a presence of a 2 monolayer thick sub-surface in a-Si:H layers. In the a-Si:H sub-surface that leads to the μc-Si:H nucleation, an important peak at ∼1937 cm−1 assigned to the SiHn complex was found in the ATR spectra. From H2 plasma treatment experiments, we proposed that this SiHn complex is formed by H insertion into strained Si-Si bonds. The SiHn complex formed in the a-Si:H sub-surface showed a clear relationship with the μc-Si:H nucleation. From these results, we conclude that the μc-Si:H nucleation occurs by the formation of the chemically active and flexible SiHn complexes in the 2 monolayer thick a-Si:H sub-surface.

Structures of Adsorbed Initial Layers of Stearic Acid at the Liquid/Solid Interface

2004 ◽  
Vol 43 (7B) ◽  
pp. 4667-4670 ◽  
Author(s):  
Daisuke Takajo ◽  
Takashi Nemoto ◽  
Seiji Isoda
Keyword(s):  
Stearic Acid ◽  
Solid Interface ◽  
Initial Layers

Effect of initial layers for high-quality GaN growth by hot-wall epitaxy

1998 ◽  
Vol 189-190 ◽  
pp. 250-253 ◽  
Author(s):  
G.N Jeon ◽  
H.S Kang ◽  
K.W Chae ◽  
W.K Jung ◽  
D.I Yang ◽  
...  
Keyword(s):  
High Quality ◽  
Initial Layers ◽  
Hot Wall Epitaxy

The anodic oxidation of ethylxanthate on metal and galena electrodes

1972 ◽  
Vol 25 (11) ◽  
pp. 2329 ◽  
Author(s):  
R Woods
Keyword(s):  
Current Efficiency ◽  
Electrode Potential ◽  
Surface Characteristics ◽  
Infrared Analysis ◽  
Metal Xanthate ◽  
Lead Electrodes ◽  
Initial Layers ◽  
C 50 ◽  
Constituent Elements ◽  
Galena Electrode

The products of the electrochemical oxidation of potassium ethylxanthate have been identified by infrared analysis and microanalysis for the constituent elements. The current efficiency for the formation of diethyl dixanthogen depends on the nature of the electrode, and at 0.5 V was found to be 100, 98, 90, c. 50, and 0% for platinum, gold, copper, galena, and lead respectively. The remainder of the current passed at this potential resulted in the formation of the metal xanthate.� Dixanthogen is formed on lead electrodes only at potentials of > 1.0 V, where lead xanthate is unstable with respect to oxides of the metal. The lead xanthate produced on a galena electrode at pH 9.1 involves the release of thiosulphate ions. The formation of lead xanthate by this reaction, followed by its reduction to lead, is shown to change the surface characteristics of a galena electrode to those of lead. However, the formation and reduction of the initial layers which takes place on cycling the electrode potential does not change a galena surface and cannot involve loss of sulphur from the surface to the solution. This supports the conclusion that the chemisorbed xanthate monolayer is first covered by dixanthogen and that lead xanthate forms only when bulk layers are produced.

scholarly journals Reduction of a model for sodium exchanges in kidney nephron

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Marta Marulli ◽  
Vuk Miliši$\grave{\rm{c}}$ ◽  
Nicolas Vauchelet
Keyword(s):  
Mathematical Analysis ◽  
Boundary Data ◽  
Point Of View ◽  
Asymptotic Result ◽  
Ionic Exchange ◽  
Surrounding Environment ◽  
Initial Layers ◽  
Epithelial Layers ◽  
Counter Current ◽  
Linear Hyperbolic System

<p style='text-indent:20px;'>This work deals with a mathematical analysis of sodium's transport in a tubular architecture of a kidney nephron. The nephron is modelled by two counter-current tubules. Ionic exchange occurs at the interface between the tubules and the epithelium and between the epithelium and the surrounding environment (interstitium). From a mathematical point of view, this model consists of a 5<inline-formula><tex-math id="M1">\begin{document}$ \times $\end{document}</tex-math></inline-formula>5 semi-linear hyperbolic system. In literature similar models neglect the epithelial layers. In this paper, we show rigorously that such models may be obtained by assuming that the permeabilities between lumen and epithelium are large. We show that when these permeabilities grow, solutions of the 5<inline-formula><tex-math id="M2">\begin{document}$ \times $\end{document}</tex-math></inline-formula>5 system converge to those of a reduced 3<inline-formula><tex-math id="M3">\begin{document}$ \times $\end{document}</tex-math></inline-formula>3 system without epithelial layers. The problem is defined on a bounded spacial domain with initial and boundary data. In order to show convergence, we use <inline-formula><tex-math id="M4">\begin{document}$ {{{\rm{BV}}}} $\end{document}</tex-math></inline-formula> compactness, which leads to introduce initial layers and to handle carefully the presence of lateral boundaries. We then discretize both 5<inline-formula><tex-math id="M5">\begin{document}$ \times $\end{document}</tex-math></inline-formula>5 and 3<inline-formula><tex-math id="M6">\begin{document}$ \times $\end{document}</tex-math></inline-formula>3 systems, and show numerically the same asymptotic result, for a fixed meshsize.</p>

Performance Optimization of the Initial Layers of Deep Convolutional Neural Networks

Vestnik RFFI ◽  
2016 ◽  
pp. 84-96 ◽  
Author(s):  
Elena E. Limonova ◽  
◽  
Aleksandr V. Sheshkus ◽  
Dmitriy P. Nikolaev ◽  
Alena A. Ivanova ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Performance Optimization ◽  
Deep Convolutional Neural Networks ◽  
Initial Layers
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