Optical Memory and Neural Networks

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Free-space interconnect for optical switch and analogue neural network
Optical 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.
Three-dimensional simulation of a nanophotonics device with use of fullwave software
Optical Memory and Neural Networks - - 2009
Anton G. Nalimov, A. A. Kovalev, V. V. Kotlyar, В. А. Сойфер
Optical Analysis of Implants from the Dura Mater
Optical Memory and Neural Networks - - 2018
П. Е. Тимченко, Е. В. Тимченко, Л. Т. Волова, M. A. Nosova, O. O. Frolov, N K Kiyko, N. V. Volov
Near-wall liquid flows visualization on frustrated total internal reflection
Optical 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.
Survey on Computational Techniques for Pigmented Skin Lesion Segmentation
Optical Memory and Neural Networks - - 2022
Shubhasis Khanra, Maitreyee Kuila, Shibaprasad Patra, Ramesh Saha, Krishna Gopal Dhal
Simulation of the Propagation of Rotating Laguerre–Gaussian Beams in an Imaging System with an Obstacle
Optical Memory and Neural Networks - Tập 32 - Trang S38-S45 - 2023
M. Kirilenko, D. Gorelykh
Two imaging systems are considered in this paper: a system with a lens containing an obstacle in the front focal area of the lens, and a system with an image in the front focal area of the lens with a phase mask and a circular aperture diaphragm. A rotating Laguerre–Gaussian beam propagates through the first imaging system, and structure of the beam transforms after propagation through an obstacle...... hiện toàn bộ
The development of conical-beam-based schemes for laser power delivery application
Optical Memory and Neural Networks - Tập 16 Số 4 - Trang 281-287 - 2007
Chivel, Y. A., Khilo, N. A., Yushkevich, V. N.
Some optical schemes for the production of conical beams with high cone angle and a quasiuniform axial distribution of the intensity are developed. The maximum absorption of the TH-polarization mode by the metallic particles is fixed. The influence of polarization state of conical beam on laser power absorption by the powder stream has been investigated. The experimental results of microparticles ...... hiện toàn bộ
Cylindrical Vector Beam of the Second Order in a Microstructured Waveguide
Optical Memory and Neural Networks - Tập 32 - Trang S130-S137 - 2023
S. Stafeev, A. Pryamikov, G. Alagashev, V. Kotlyar
The propagation of vector mode of the second-order in microstructured and gradient waveguides was numerically investigated applying the RSoft FullWAVE package. It was shown that the investigated vector beams of the second-order are the vector modes of the proposed waveguides. In the obtained fundamental modes, there are regions in which the energy flux is directed opposite to the beam propagation ...... hiện toàn bộ
Development of an Optical Method for Analysis of the Structure of Biological Tissue in Order to Increase the Security of Dactyloscopic Identification Systems
Optical Memory and Neural Networks - Tập 30 - Trang 74-79 - 2021
A. A. Murashov, P. K. Trubin, E. N. Velichko
This article describes the development of a method for improving the security of fingerprint identification systems. It is based on the calculation of the polarimetric parameters of biological tissue using Mueller matrices. This method was tested on samples made from gelatin, which have a copy of the papillary pattern and mimic real tissue. It is shown that the proposed method is promising for sol...... hiện toàn bộ
Erratum to: “3-D Neural Mapper for LDPC Sum-Product Decoder”
Optical Memory and Neural Networks - Tập 18 - Trang 349-349 - 2010
Yu. Boiko, Amir H. Banihashemi, Tet Hin Yeap
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