Influence of the metallic nanoparticles on the arabinogalactan optical propertiesOptical Memory and Neural Networks - Tập 24 - Trang 60-65 - 2015
N. A. Ushakov, N. B. Radchuk, A. Yu. Ushakov
Metallic nanoparticles are a powerful tool of modern photonics allowing one to
modify and control the optical properties of materials. Arabinogalactan (AG)—a
complex organic molecule, offers a convenient way for nanoparticle fabrication
due to its chemical properties. In the current paper the refractive index and
optical transparency of arabinogalactan and AG-nanoparticle composite was
studied by ... hiện toàn bộ
LaF3–Er3+ Crystal as Materials for MIR-Lasing OperatingOptical Memory and Neural Networks - Tập 32 - Trang S362-S368 - 2024
G. G. Demirkhanyan, R. B. Kostanyan
The possibilities of LaF3–Er3+crystal to obtain cascade lasing with CW pumping
at 0.52 μm wavelength are considered. The conditions for the formation of
inverse populations between Stark levels of neighboring manifolds are
determined. It is shown that, at 100 K and CW pump intensity $${{J}_{p}}
\geqslant 350\,\,{{\text{W}} \mathord{\left/ {\vphantom {{\text{W}}
{{\text{c}}{{{\text{m}}}^{2}}}}} \ri... hiện toàn bộ
Comparison of Face Recognition and Detection Models: Using Different Convolution Neural NetworksOptical Memory and Neural Networks - Tập 28 - Trang 101-108 - 2019
Kai Kang
Face detection and recognition plays an important role in many occasions. This
study explored the application of convolutional neural network in face detection
and recognition. Firstly, convolutional neural network was briefly analyzed, and
then a face detection model including three convolution layers, four pooling
layers, introduction layers and three fully connected layers was designed. In
face... hiện toàn bộ
Free-space interconnect for optical switch and analogue neural networkOptical Memory and Neural Networks - Tập 20 - Trang 2-6 - 2011
N. Collings, F. Zhang
In this paper, the architecture of a vector-matrix multiplier (MVM) is
simulated. The optical design can be made compact by the use of GRIN lenses for
the optical fan-in. The intended application area was in storage area networks
(SANs) but the concept can be applied to a neural network.
Near-wall liquid flows visualization on frustrated total internal reflectionOptical Memory and Neural Networks - Tập 18 - Trang 322-327 - 2010
I. N. Pavlov, B. S. Rinkevichyus
An experimental setup for near-wall liquid flows visualization is described. The
refraction index measurement sensitivity and other setup parameters is
optimized. The experimental results for three example of liquid are presented:
glycerin, sugar and salt water solution.
Fast online algorithm for nonlinear support vector machines and other alike modelsOptical Memory and Neural Networks - Tập 25 - Trang 203-218 - 2017
Vojislav Kecman
Paper presents a unique novel online learning algorithm for eight popular
nonlinear (i.e., kernel), classifiers based on a classic stochastic gradient
descent in primal domain. In particular, the online learning algorithm is
derived for following classifiers: L1 and L2 support vector machines with both a
quadratic regularizer w t w and the l 1 regularizer |w|1; regularized huberized
hinge loss; re... hiện toàn bộ
Nonlinear absorption in pyran dyesOptical Memory and Neural Networks - Tập 18 - Trang 218-222 - 2009
A. Yu. Gerasimenko, V. M. Podgaetsky, V. I. Krasovsky, A. P. Lugovsky
The paper represents the results of nonlinear absorption study for solutions of
deciaminomethylenepyran dyes DCM 627 and DCM-684 (yuloidine) at wavelength of
532 nm with 350 ps pulse duration obtained with the use of z-scan technique. It
is shown that the induced absorption detected is due to two-photon absorption.
Nonlinear and two-photon coefficients of absorption are evaluated. The results
of n... hiện toàn bộ