Results 31 to 40 of about 1,807,617 (309)

Optical performance monitoring in optical packet-switched networks [PDF]

, 2010
Para poder satisfacer la demanda de mayores anchos de banda y los requisitos de los nuevos servicios, se espera que se produzca una evolución de las redes ópticas hacia arquitecturas reconfigurables dinámicamente. Esta evolución subraya la importancia de
Vilar Mateo, Ruth
core   +1 more source

Transfer learning simplified multi-task deep neural network for PDM-64QAM optical performance monitoring.

Optics Express, 2020
We experimentally demonstrate a transfer learning (TL) simplified multi-task deep neural network (MT-DNN) for joint optical signal-to-noise ratio (OSNR) monitoring and modulation format identification (MFI) from directly detected PDM-64QAM signals. First,
Yijun Cheng, Wenkai Zhang, S. Fu, M. Tang, Deming Liu   +4 more
semanticscholar   +1 more source

Multi-Functional Optical Spectrum Analysis Using Multi-Task Cascaded Neural Networks

IEEE Photonics Journal, 2022
In the optical communication systems, the optical spectrum (OS) provides useful informations for optical performance monitoring and optical link diagnosis.
Haoyu Wang, Sheng Cui, Changjian Ke, Chenglong Yu, Zi Liang, Deming Liu   +5 more
doaj   +1 more source

Optical contamination screening of materials with a high-finesse Fabry-Perot cavity resonated continuously at 1.06-µm wavelength in vacuum [PDF]

, 1999
An optical-loss measurement system based on a resonant Fabry Perot cavity at 1.06µm in vacuum has been developed for independent monitoring of the cavity total loss and the optical absorption loss.
Camp, Jordan, Coyne, Dennis, Li, Daqun
core   +1 more source

In-sewer field-evaluation of an optical fibre-based condition monitoring system [PDF]

, 2020
A Fiber Bragg Grating (FBG) based monitoring system for continuous humidity and temperature measurement has been designed and evaluated experimentally in a sewer environment with high corrosion rates, humidity and the presence of gaseous hydrogen sulfide.
Bustamante, H., Chen, Y., Fabian, M., Grattan, K. T. V., Rente, B., Sun, T., Vorreiter, L.   +6 more
core   +1 more source

Monitoring of OSNR Using an Improved Binary Particle Swarm Optimization and Deep Neural Network in Coherent Optical Systems

Photonics, 2019
A novel technique is proposed to implement optical signal-to-noise ratio (OSNR) estimation by using an improved binary particle swarm optimization (IBPSO) and deep neural network (DNN) based on amplitude histograms (AHs) of signals obtained after ...
Xiaoyong Sun, Shaojing Su, Junyu Wei, Xiaojun Guo, Xiaopeng Tan   +4 more
doaj   +1 more source

Chromatic Dispersion, Nonlinear Parameter, and Modulation Format Monitoring Based on Godard's Error for Coherent Optical Transmission Systems

IEEE Photonics Journal, 2018
This paper considers Godard's error as signal quality metric to monitor chromatic dispersion (CD), nonlinear parameter and modulation format in the DSP module of the coherent receivers.
Lin Jiang, Lianshan Yan, Anlin Yi, Yan Pan, Ming Hao, Wei Pan, Bin Luo, Yves Jaouen   +7 more
doaj   +1 more source

Machine Learning Applications for Short Reach Optical Communication

Photonics, 2022
With the rapid development of optical communication systems, more advanced techniques conventionally used in long-haul transmissions have gradually entered systems covering shorter distances below 100 km, where higher-speed connections are required in ...
Yapeng Xie, Yitong Wang, Sithamparanathan Kandeepan, Ke Wang   +3 more
doaj   +1 more source

A study to trial the use of inertial non-optical motion capture for ergonomic analysis of manufacturing work [PDF]

, 2016
It is going to be increasingly important for manufacturing system designers to incorporate human activity data and ergonomic analysis with other performance data in digital design modelling and system monitoring. However, traditional methods of capturing
Fletcher, Sarah R., Johnson, Teegan L., Thrower, John   +2 more
core   +1 more source

Joint OSNR and Nonlinear Noise Power Estimation Based on Deep Learning for Coherent Optical Communication Systems

IEEE Photonics Journal, 2023
In this paper, a joint OSNR and nonlinear noise power estimation scheme based on multi-task deep neural network (MT-DNN) is proposed with the advantages of dispersion-insensitive, modulation-format-transparent for high-speed, long-haul, multi-channel ...
Mengyan Li, Lifu Zhang, Tao Zhang, Guozhou Jiang, Liu Yang, Fengguang Luo, Yongming Hu   +6 more
doaj   +1 more source