Thermally Drawn Flexible Fiber Sensors: Principles, Materials, Structures, and Applications. [PDF]
Zhang Z+9 more
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Multiwavelength, Ultranarrow Line Width Emission from Fiber-Capillary-Integrated Colloidal Quantum Well Lasers. [PDF]
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Lim MS, Jeong EG.
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Research on the Intrinsic Sensing Performance of an Optical Fiber Dosimeter Based on Radiation-Induced Attenuation. [PDF]
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Recent Advances in Conductive Hydrogels for Electronic Skin and Healthcare Monitoring. [PDF]
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Artificial intelligence based optical performance monitoring
Journal of Optical Communications, 2021AbstractIn this paper, a technique for optical performance monitoring (OPM) using deep learning-based artificial neural network (ANN) is implemented. ANN is trained with parameters derived from eye-diagram for the identification of optical signal to noise ratio (OSNR), chromatic dispersion (CD) and polarisation mode dispersion (PMD) simultaneously and ...
Rahul Kaushik, Palash Rai
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Optical Performance Monitoring [PDF]
Progress in optical networking has stimulated interest in optical performance monitoring (OPM), particularly regarding signal quality measures such as optical signal-to-noise ratio (SNR), Q-factor, and dispersion. These advanced monitoring methods have the potential to extend fault management and quality-of-service (QoS) monitoring into the optical ...
D. Einstein+7 more
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Optical Performance Monitoring of Multiple Parameters in Future Optical Networks
Journal of Lightwave Technology, 2021Optical performance monitoring (OPM) is an important tool to facilitate the management of future optical fiber communication networks. OPM measures the states of the physical layer and provides feedback to the network controller for performing tasks such as link diagnosis and fault detection.
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Innovative Optical Networking by Optical Performance Monitoring and Learning Process
2018 European Conference on Optical Communication (ECOC), 2018Four capabilities for highly efficient and reliable multi-vendor optical networks are discussed. We then review the specific three technologies as an example, which demonstrates the importance of optical performance monitoring for failure prediction and learning process for improving network capacity.
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. We propose an ensemble deep transfer learning (EDTL) method, which is a more refined multilayer feature extraction achieved by aggregating the convolutional layers of pretrained convolutional neural network models for joint optical modulation format ...
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