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

Joint Optimization of Multidimensional Resources Allocation in Cloud Networking 云网络中多维资源配置的联合优化

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050986

Jialong Li, Kangqi Zhu, Nan Hua, Chen Zhao, Yanhe Li, Xiaoping Zheng, Bingkun Zhou

引用次数: 0

Coherence Retrieval and Multi-contrast Microscopy Imaging by Transport of Intensity Stack 相干检索和基于强度叠加传输的多对比显微成像

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050985

Runnan Zhang, Zewei Cai, C. Zuo

{"title":"Coherence Retrieval and Multi-contrast Microscopy Imaging by Transport of Intensity Stack","authors":"Runnan Zhang, Zewei Cai, C. Zuo","doi":"10.1109/OGC55558.2022.10050985","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050985","url":null,"abstract":"We report a new coherence retrieval method based on transport of intensity stack. We capture intensity images at different focal planes, corresponding to phase-space shearing projection, into four-dimensional (4D) phase space to create both high spatial and spatial frequency resolution phase space. We represent the optical field of an arbitrary coherent mode with the help of a typical function in phase space, i.e., the Wigner distribution function. Previous studies mainly focus on coherence measurement by means of interferometry. In addition, despite the sacrifice of both spatial and spatial frequency resolution, wavefront sensor is also a standard tool for coherence measurement. To overcome the existing problems, our method only requires z-scanning to achieve full-resolution coherent retrieval of the optical field without interferometric detection. Furthermore, without requiring hardware modifications, we introduced our coherence retrieval method into microscopic imaging. We apply our method to multi-contrast microscopic imaging with only intensity stack, which have the potential to allow clinicians to view a sample with three separate contrast methods at once, enhancing the information available for diagnosis and disease discrimination.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"59 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":"132602588","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

Coupling Efficiency Analysis for Optical Fiber with Different Core Diameters 不同芯径光纤耦合效率分析

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10051099

Yuzhong Ma, Zijing Huang, Lin Sun, Gordon Ning Liu

引用次数: 0

A SDN Enabled PON Controller based on Hierarchical Models 一种基于分层模型的SDN PON控制器

2022 IEEE 7th Optoelectronics Global Conference (OGC) Pub Date : 2022-12-06 DOI: 10.1109/OGC55558.2022.10050902

Zhenming Liang, Ziyao Yang, Jian Tang

{"title":"A SDN Enabled PON Controller based on Hierarchical Models","authors":"Zhenming Liang, Ziyao Yang, Jian Tang","doi":"10.1109/OGC55558.2022.10050902","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050902","url":null,"abstract":"With the evolution of network architecture and changes in service requirements, operators are posing new challenges to Passive Optical Network (PON) operation and maintenance. In order to solve the lack of intelligent operation and maintenance capabilities of PON, this paper proposes a software defined network (SDN) enabled PON controller based on hierarchical models. PON controller is a codeless frameworks based on model-driven and graphical programming. The standardized YANG model enables the flexible and quick modelling and services handling of different professional levels’ services and networks in PON system. Based on Telemetry technology, a real-time and high-precision collection solution for PON network can be built, realizing all-round and fined real-time visibility of network services. Besides, by introducing the artificial intelligence (AI) technology represented by machine learning and deep learning, automatic closed-loop operating status monitoring, analysis and decision-making of industrial PON networks can be realized, the intelligent level of network operation and maintenance can be improved, which aims to build an automated, visualized and intelligent PON.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"4 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":"125919451","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