2022 IEEE 7th Optoelectronics Global Conference (OGC)最新文献

Intensity Compensation of Echo Pulses for Fiber Interferometers Based on uwFBG Reflectors 基于uwFBG反射器的光纤干涉仪回波脉冲强度补偿

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050925

Yandong Pang, Junbin Huang, Hongcan Gu, Su Wu, Zhiqiang Zhang

{"title":"Intensity Compensation of Echo Pulses for Fiber Interferometers Based on uwFBG Reflectors","authors":"Yandong Pang, Junbin Huang, Hongcan Gu, Su Wu, Zhiqiang Zhang","doi":"10.1109/OGC55558.2022.10050925","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050925","url":null,"abstract":"We report on current theoretical and experimental results of echo pulses based on ultra-weak Fiber Bragg Gratings (uwFBGs), using intensity compensation to solve the signal distortion caused by light pulse delay. Cubic Spline Interpolation is applied, leading to better robustness for the interference intensity. Then the linear compensation value is obtained by comparing the peak intensity in order to correct attenuation in three-way optical path. We report improvements over the conventional demodulation algorithm based on 3×3 coupler with circulator. The experimental results have shown that, when the intensity reduction is existed due to pulse delay, the hydroacoustic field could be reconstructed with high fidelity by using the proposed method. Leading to much lower noise density level for the interference pulse intensity, more than 7 dB when the reference signal is 1rad/√Hz in 5~50 Hz, and the SNR is improved approximately 10 dB@10 Hz. The proposed method exhibits a particularly applicability in passive optical path, which is of great importance for increasing the practicality of the system in complicated environments.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115295936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and Analysis of High-Speed Modified Uni-Travelling-Carrier Photodiodes Under High Optical Power Injection 高光功率注入下高速改进型单行载流子光电二极管的建模与分析

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050988

Zhang Peng, W. Xiong, Ruoyun Yao, Chaodan Chi, Yiti Xiong, C. Ji

引用次数: 0

Strain and Temperature Discrimination by Fourier Analyzing Transmission Spectrum of an In-fiber Mach-Zehnder Interferometer 光纤马赫-曾德干涉仪透射谱的傅里叶分析

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10051000

S. Xiao, Beilei Wu, Zixiao Wang, Youchao Jiang, Chunran Sun

引用次数: 0

A Single-laser System for Mobile Cold Atom Gravimeter 移动冷原子重力仪的单激光系统

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050973

Pei Dongliang, Kong Delong, Wang Jieying, Chen Weiting, Lu Xiangxiang, Wei Junxin, Liu Weiren

引用次数: 0

Self-Supervised Denoising of single OCT image with Self2Self-OCT Network 基于Self2Self-OCT网络的单幅OCT图像自监督去噪

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10051009

Chenkun Ge, Xiaojun Yu, Mingshuai Li, J. Mo

{"title":"Self-Supervised Denoising of single OCT image with Self2Self-OCT Network","authors":"Chenkun Ge, Xiaojun Yu, Mingshuai Li, J. Mo","doi":"10.1109/OGC55558.2022.10051009","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051009","url":null,"abstract":"In recent years, supervised deep learning of image denoising has attracted extensive research interests. Those methods usually required numerous pairs of noisy image and its corresponding clean image in training processing. However, in most real situations, it is hard to collect high-quality clean images such as optical coherence tomography (OCT) images. Therefore, it is of great significance to study a effective de-noising network without clean images for supervising, which is only trained with noisy image. In this article, for a single OCT image, we propose a self-supervised deep learning model called Self2Self-OCT network by improved the Self2Self network and added a loss function that can effectively remove the background noise of OCT images, which makes the whole training do not need correlative clean images. Specifically, we use gated convolution to replace the partial convolution layer of the encoder’s block in Self2Self. The input image and its Bernoulli sampling instance are put into our network respectively, and the background noise attenuation loss is added to loss function during training. The result is estimated based on the average value of multiple prediction outputs. The experiments with different OCT images indicate that proposed model not only has obvious advantages compared with the existing single deep learning methods and non-learning methods, but also surpasses the supervised learning of a small number of sample training.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"22 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114102439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research and Application System Design of Intelligent Inspection of Multispectral Segment Optoelectronic Devices Based on 5G 基于5G的多光谱段光电器件智能检测研究与应用系统设计

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/ogc55558.2022.10050999

Tielin Lu, Lei Yue, Bowen Lu, Xiawei Feng, H. Han

{"title":"Research and Application System Design of Intelligent Inspection of Multispectral Segment Optoelectronic Devices Based on 5G","authors":"Tielin Lu, Lei Yue, Bowen Lu, Xiawei Feng, H. Han","doi":"10.1109/ogc55558.2022.10050999","DOIUrl":"https://doi.org/10.1109/ogc55558.2022.10050999","url":null,"abstract":"Massive real-time image test results put forward higher requirements for network transmission and intelligent technology. Intelligent detection technology using 5G network has become one of the most important research directions of multi-spectral optoelectronic devices. However, they are still confused about the architecture of the 5G network and how to design the system with unmanned control for different user needs. At present, it is urgent to solve how to overcome the instability of 5G optoelectronic device network structure through multi-spectral segments, achieve high-quality transmission of results, and obtain intelligent optimal results. This paper summarizes the configuration and mode of 5G network, application system of multispectral optoelectronic devices. This paper also analyzes the intelligent detection system based on 5G scheme. Finally, we have developed a case of multi-spectral segment photoelectric detection architecture based on 5G communication structure. We have validated the application scenario of intelligent detection in the design of transmission line detection and the feasibility purpose of intelligent detection in smart grid.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127924992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Dynamic Analysis-based Optical Coherence Tomography Angiography for Blood Vessel Tail Artifacts Suppression 基于自适应动态分析的光学相干断层血管成像血管尾部伪影抑制

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050995

Junxiong Zhou, Yuntao Li, Jianbo Tang

引用次数: 0

Optical Labels Enabled Optical Network Performance Monitoring 启用光网络性能监控

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10051116

Tao Yang

引用次数: 0

Application-aware Configuration of All-optical Interconnects in Hyper-FleX-LION : (Invited Paper) Hyper-FleX-LION中全光互连的应用感知配置:(特邀论文)

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10051081

Hao Yang, Zuqing Zhu

{"title":"Application-aware Configuration of All-optical Interconnects in Hyper-FleX-LION : (Invited Paper)","authors":"Hao Yang, Zuqing Zhu","doi":"10.1109/OGC55558.2022.10051081","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051081","url":null,"abstract":"Due to the advantages of optical circuit switching (OCS), all-optical interconnects (AOIs) for data center networks (DCNs) have attracted intensive interests recently. Hyper-FleX-LION is a highly-flexible AOI architecture that operates with the OCS based on wavelength-division multiplexing (WDM). In this paper, we present our recent research activities on Hyper-FleX-LION. First, to prove the superiority of Hyper-FleX-LION, we enumerate various communication patterns of distributed machine learning (DML) in DCNs, and analyze the acceleration effect achieved by Hyper-FleX-LION over existing interconnect architectures, such as the hybrid optical/electrical interconnect based on optical cross-connect (HOE-w/OXC). Results show that Hyper-FleX-LION can better accelerate the tasks of DML. Then, we classify network applications in DCNs as bandwidth-intensive and data-intensive ones, and analyze the operational costs and task completion time that Hyper-FleX-LION brings to them and how to optimize the topology design and traffic routing of Hyper-FleX-LION adaptively. The Analysis results confirm the importance of designing an application-aware configuration scheme for Hyper-FleX-LION.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124030072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Er3+-Pr3+-Yb3+ Tri-doped La2O3-Al2O3-SiO2 Glass Double Clad Fiber for C+L Amplification Er3+-Pr3+-Yb3+三掺杂La2O3-Al2O3-SiO2玻璃双包层光纤用于C+L放大

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050969

Zhu Huang, Weichao Ma, Tong Wu, Jia Ao Lu, Jiantao Liu, C. Xia, Zhiyun Hou, Guiyao Zhou

引用次数: 0