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2020 Opto-Electronics and Communications Conference (OECC)最新文献

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Performance of Probabilistic Amplitude Shaping with a single LUT Distribution Matcher 单LUT分布匹配器的概率幅度整形性能
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273649
A. Naka
We numerically evaluate General Mutual Information and Bit Error Rate performances of Probabilistic Amplitude Shaping using a distribution matcher composed of a single look-up-table, which has a novel matching improvement function using log-likelihood ratio feedback.
我们使用由单个查询表组成的分布匹配器对概率幅度整形的一般互信息和误码率性能进行了数值评估,该分布匹配器具有新颖的使用对数似然比反馈的匹配改进函数。
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引用次数: 0
1:9 and 1:99 Optical Power Couplers Based on Nano-Pixel Structure 基于纳米像素结构的1:9和1:99光功率耦合器
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273576
Yu Han, Zanhui Chen, Wenying Li, Haisong Jiang, K. Hamamoto
We proposed 1:9 and 1:99 optical power couplers based on inverse designed nano-pixel. Both couplers occupy a compact area of 2.88 × 2.88 μm2 with a low excess loss of 0.68 (1:9) / 0.41 dB (1:99) and a wide wavelength operation range of 1500-1600 nm.
提出了基于逆设计纳米像元的1:9和1:99光功率耦合器。两种耦合器的面积均为2.88 × 2.88 μm2,具有0.68 (1:9)/ 0.41 dB(1:99)的超低损耗和1500 ~ 1600 nm的宽波长工作范围。
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引用次数: 2
Perceptual Color Appearance Models of Fluorescent Samples Based on Machine Learning 基于机器学习的荧光样品感知颜色外观模型
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273718
Hung-Chung Li, P. Sun, Wei-Chih Su, Hung-Shing Chen, Chia-Pin Chueh, Yennun Huang
Two machine learning models, including the polynomial regression model and artificial neural network, are proposed based on the result of a visual perception experiment of fluorescent samples. The results indicate that both two models can ideally predict the visual color appearance of fluorescent samples under various lighting conditions with high R-squared, acceptable RMSE, and MAE values.
基于荧光样品的视觉感知实验结果,提出了多项式回归模型和人工神经网络两种机器学习模型。结果表明,两种模型均能较理想地预测不同光照条件下荧光样品的视觉颜色外观,具有较高的r平方、可接受的RMSE和MAE值。
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引用次数: 0
Investigation of Surface Plasmon Resonance based on Silicon Core Fiber for Large Range of Refractive Index Sensing 基于硅芯光纤的表面等离子体共振大范围折射率传感研究
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273619
Yi-Lin Yu, H. Kishikawa, S. Liaw, N. Goto
In this article, we propose a concept which is the D-shaped silicon core fiber sensor based on surface plasmon resonance within the Mid-IR range. Au layer coating on the D-shaped side-face of silicon core fiber acts as a plasmonic active metal. By using the limited element methods, the sensing properties of the proposed sensor are investigated, and an average sensitivity up to 2.931 μm/RIU is obtained for the analyte of different refractive indices varies from 1.20 to 1.55. In addition, the Au coating layer and analyte are placed on the D-shaped side-face of the proposed fiber sensor; hence, this structure does not need to fill the voids. Thus, it is easy to fabricate and put to use. Also, the wavelength band in 2-μm is far from optical communication band, which means the proposed sensor could be connected with fiber network without any influence and crosstalk.
本文提出了一种基于表面等离子体共振的中红外d型硅芯光纤传感器的概念。镀在硅芯光纤d型侧面的金层作为等离子体活性金属。利用有限元法研究了该传感器的传感性能,对折射率为1.20 ~ 1.55的分析物的平均灵敏度可达2.931 μm/RIU。此外,将Au涂层和分析物放置在所述光纤传感器的d形侧面上;因此,该结构不需要填补空白。因此,它易于制造和使用。另外,2 μm波段距离光通信波段较远,因此可以与光纤网络连接,不会产生任何影响和串扰。
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引用次数: 0
Performance Evaluation of Multi-Band Optical Networks Employing Distance-Adaptive Resource Allocation 基于距离自适应资源分配的多波段光网络性能评估
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273660
M. Nakagawa, H. Kawahara, Kana Masumoto, T. Matsuda, K. Matsumura
We investigate the practical benefits of multi-band optical networks leveraging distance-adaptive resource allocation. Simulations clarify that the S+C+L-band scenario can successfully accommodate three times more traffic than a single-band scenario even on a large-scale network.
我们研究了利用距离自适应资源分配的多波段光网络的实际效益。模拟表明,即使在大规模网络中,S+C+ l频段场景也可以成功容纳比单频段场景多三倍的流量。
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引用次数: 10
[OECC 2020 Title page] [OECC 2020首页]
Pub Date : 2020-10-04 DOI: 10.1109/oecc48412.2020.9273692
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引用次数: 0
Nonblocking properties of 3-stage Clos networks comprised of unidirectional crossbars 单向交叉棒组成的三级Clos网络的非阻塞特性
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273703
Labson Koloko, H. Obara
this paper proposes a new type of three stage Clos network with modified unidirectional crossbars. Nonblocking properties of the new architecture are investigated theoretically and a new result of improved performance is reported.
本文提出了一种新型的带单向交叉棒的三级Clos网络。从理论上研究了新结构的非阻塞特性,并报道了改进性能的新结果。
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引用次数: 0
Analysis of Time- and Eigenvalue-Domain Neural Network-Based Demodulators for Optical Eigenvalue Modulated Signals 基于时域和特征域神经网络的光特征值调制信号解调方法分析
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273654
Shingo Sato, K. Mishina, D. Hisano, A. Maruta
We investigate the reason why the artificial neural network-based demodulators for optical eigenvalue modulated signals show a BER improvement compared with conventional demodulators. Both nonlinear and high-dimensional classifications in eigenvalue-domain contribute to the BER improvement.
我们研究了基于人工神经网络的光特征值调制信号解调比传统解调具有更好的误码率的原因。特征值域的非线性和高维分类都有助于提高误码率。
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引用次数: 0
Vertical Field Enhancement of Spot Size Converter by Using Nano-Pixel Waveguide and Window Structure 基于纳米像素波导和窗口结构的光斑尺寸变换器的垂直场增强
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273439
Zanhui Chen, Wenying Li, Yu Han, Haisong Jiang, K. Hamamoto
Spot size converter by using nano-pixels waveguide is proposed especially, to enhance the vertical, not only the lateral, field confinement. Theoretical analysis shows a coupling efficiency of -0.6 dB at λ0=1.572 μm by combining the design SSC of a nano-pixels waveguide of 30 nano-pixels (1×2 μm2) and SiO2 window structure.
特别提出了一种利用纳米像元波导的光斑尺寸变换器,它不仅增强了横向场约束,而且增强了纵向场约束。理论分析表明,在λ0=1.572 μm处,采用30纳米像素(1×2 μm2)的纳米像素波导与SiO2窗口结构相结合的SSC设计,耦合效率为-0.6 dB。
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引用次数: 1
Generalization Performance of Artificial Neural Network Based-Demodulator for Eigenvalue Modulated Signal 基于人工神经网络的特征值调制信号解调的泛化性能
Pub Date : 2020-10-04 DOI: 10.1109/OECC48412.2020.9273734
K. Mishina, D. Hisano, Y. Yoshida, A. Maruta
The generalization performance of an artificial neural network-based demodulator for an eigenvalue modulated signal is investigated. Successful demodulation for transmission distances from zero to 3,000 km and carrier frequency offset within 1 GHz is demonstrated.
研究了基于人工神经网络的解调器对特征值调制信号的泛化性能。成功解调传输距离从0到3000公里和载波频率偏移在1ghz。
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引用次数: 1
期刊
2020 Opto-Electronics and Communications Conference (OECC)
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