Zobrazeno 1 - 10
of 2 999
pro vyhledávání: '"Liu, Xiaomin"'
We propose a heuristic-based optimization scheme for reliable optical amplifier reconfiguration process in ADON. In the experiment on a commercial testbed, the scheme prevents a 0.48-dB Q-factor degradation and outperforms 97.3% random solutions.
Externí odkaz:
http://arxiv.org/abs/2404.01949
Publikováno v:
Optical Fiber Communication Conference (OFC) 2024, Technical Digest Series (Optica Publishing Group, 2024), paper M4K.4
We propose a n input parameter refinement scheme for the physics-based Raman amplifier model. Experiments over C+L band are conducted. Results show the scheme can lower the physical model's maximum estimation error by 2.13 dB.
Comment: Accpted b
Comment: Accpted b
Externí odkaz:
http://arxiv.org/abs/2401.05720
Autor:
Liu, Yichen, Liu, Xiaomin, Zhang, Yihao, Cai, Meng, Fu, Mengfan, Zhong, Xueying, Yi, Lilin, Hu, Weisheng, Zhuge, Qunbi
To enable intelligent and self-driving optical networks, high-accuracy physical layer models are required. The dynamic wavelength-dependent gain effects of non-constant-pump erbium-doped fiber amplifiers (EDFAs) remain a crucial problem in terms of m
Externí odkaz:
http://arxiv.org/abs/2307.06862
Optomechanical system is a promising platform to connect different notes of quantum networks, therefore, entanglement generated from it is also of great importance. In this paper, the parameter dependence of optomechanical and optical-optical entangl
Externí odkaz:
http://arxiv.org/abs/2305.09311
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 4, Pp 646-650 (2024)
AIM: To assess the accuracy of predicting intraocular lens(IOL)power after myopic refractive surgery using the Pentacam system's true net power(TNP)in the 3 mm zone combined with the SRK/T formula [i.e. TNP 3 mm(SRK/T)].METHODS: Retrospective study.
Externí odkaz:
https://doaj.org/article/a6199d37f9584a3e86a84059131d6168
Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression. Higher accuracy, less data requirements and lower computational complexity are demonstrated through s
Externí odkaz:
http://arxiv.org/abs/2206.12416
We propose a physics-informed EDFA gain model based on the active learning method. Experimental results show that the proposed modelling method can reach a higher optimal accuracy and reduce ~90% training data to achieve the same performance compared
Externí odkaz:
http://arxiv.org/abs/2206.06077
Publikováno v:
In Applied Thermal Engineering 1 July 2024 248 Part B
Autor:
Li, Bai, Fu, Gege, Liu, Chao, Lu, Yang, Mi, Yingqian, Yan, Dongmei, Wu, Jiahang, Dai, Xinhua, Cao, Dianbo, Liu, Wanchao, Liu, Xiaomin
Publikováno v:
In Journal of Colloid And Interface Science July 2024 665:389-398
Autor:
Shang, Shunlai, Li, Xiangmeng, Wang, Haoran, Zhou, Yena, Pang, Keying, Li, Ping, Liu, Xiaomin, Zhang, Min, Li, Wenge, Li, Qinggang, Chen, Xiangmei
Publikováno v:
In Bioactive Materials July 2024 37:206-221