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Gotowe bibliografie tematyczne / Electro-optical Model

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Gotowa bibliografia na temat „Electro-optical Model”

Autor: Grafiati

Data publikacji: 7 września 2023

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Artykuły w czasopismach na temat "Electro-optical Model"

1

Capmany, José, and Carlos R. Fernández-Pousa. "Quantum model for electro-optical amplitude modulation." Optics Express 18, no. 24 (2010): 25127. http://dx.doi.org/10.1364/oe.18.025127.

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2

Capmany, José, and Carlos R. Fernández-Pousa. "Quantum model for electro-optical phase modulation." Journal of the Optical Society of America B 27, no. 6 (2010): A119. http://dx.doi.org/10.1364/josab.27.00a119.

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3

Liu, Pengcheng, Yingqi Ma, and Jianwei Han. "Preliminary Study on Detecting the Internal Voltage Values of Integrated Circuits Based on Electro-Optical Frequency Mapping." Applied Sciences 12, no. 3 (2022): 1188. http://dx.doi.org/10.3390/app12031188.

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Electro-optical frequency mapping (EOFM) technology can detect node signals from the backside of integrated circuits (ICs). In the past, the detected signal only qualitatively represented the electrical activity strength inside the device. In this paper, the electro-optical signal generation mechanism of the device is systematically studied, and a concise physical model of laser beam modulation based on the optical transmission matrix is proposed. Firstly, the influence of the bandwidth of the laser and each structure covered by the laser spot on the electro-optical signal of the device is wel

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4

Qin, Ming, Huaixun Luan, Enqiao Xiao, and Peng Xu. "P‐6.3: A New Inspection and Evaluation System for Electro‐optical Characteristics of Display Module." SID Symposium Digest of Technical Papers 54, S1 (2023): 686–89. http://dx.doi.org/10.1002/sdtp.16385.

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By referring to semiconductor measurement technology, we have established an evaluation system (CMCI‐G100, or G100 for short), which can provide a novel evaluation model for electro‐optical characteristics of display module. G100 can achieve ns‐ level synchronous acquisition of electric and optical parameters, which is attributed to the optimization of optical, mechanical and electrical design. On this basis, the software algorithm uniformly models the high‐precision synchronous electro‐optical signal parameters, and evaluates the display quality from a new dimension of electro‐optical collabo

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5

Liu, Chao, Yao Mao, and Xiaoxia Qiu. "Disturbance-Observer-Based LQR Tracking Control for Electro-Optical System." Photonics 10, no. 8 (2023): 900. http://dx.doi.org/10.3390/photonics10080900.

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To improve the dynamic property and the disturbance suppression ability of an electro-optical tracking system, this paper presents a disturbance-observer-based LQR tracking control method. The disturbance-observer-based robust controller is composed of three parts: one is the LQR tracking controller, one is the reference model controller and the other is a compensatory controller designed with the output of the disturbance observer. The uncertainty and disturbances are considered in the controller design. By Lyapunov stability theory and linear matrix inequality (LMI) technique, the sufficient

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6

Hulea, Mircea, Zabih Ghassemlooy, Sujan Rajbhandari, Othman Isam Younus, and Alexandru Barleanu. "Optical Axons for Electro-Optical Neural Networks." Sensors 20, no. 21 (2020): 6119. http://dx.doi.org/10.3390/s20216119.

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Recently, neuromorphic sensors, which convert analogue signals to spiking frequencies, have been reported for neurorobotics. In bio-inspired systems these sensors are connected to the main neural unit to perform post-processing of the sensor data. The performance of spiking neural networks has been improved using optical synapses, which offer parallel communications between the distanced neural areas but are sensitive to the intensity variations of the optical signal. For systems with several neuromorphic sensors, which are connected optically to the main unit, the use of optical synapses is n

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7

Smirnov, Konstantin S., Daniel Bougeard, and Poonam Tandon. "Electro-optical Parameters of Bond Polarizability Model for Aluminosilicates." Journal of Physical Chemistry A 110, no. 13 (2006): 4516–23. http://dx.doi.org/10.1021/jp060151+.

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8

Górecki, Krzysztof, and Przemysław Ptak. "New dynamic electro-thermo-optical model of power LEDs." Microelectronics Reliability 91 (December 2018): 1–7. http://dx.doi.org/10.1016/j.microrel.2018.07.132.

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9

Horoshko, D. B., M. M. Eskandary, and S. Ya Kilin. "Quantum model for traveling-wave electro-optical phase modulator." Journal of the Optical Society of America B 35, no. 11 (2018): 2744. http://dx.doi.org/10.1364/josab.35.002744.

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10

Akram, Shazad, Kent Bertilsson, and Johan Siden. "LTspice Electro-Thermal Model of Joule Heating in High Density Polyethylene Optical Fiber Microducts." Electronics 8, no. 12 (2019): 1453. http://dx.doi.org/10.3390/electronics8121453.

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At present, optical fiber microducts are joined together by mechanical type joints. Mechanical joints are bulky, require more space in multiple duct installations, and have poor water sealing capability. Optical fiber microducts are made of high-density polyethylene which is considered best for welding by remelting. Mechanical joints can be replaced with welded joints if the outer surface layer of the optical fiber microduct is remelted within one second and without thermal damage to the inner surface of the optical fiber duct. To fulfill these requirements, an electro-thermal model of Joule h

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