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International Conference on network and Service Management

作者： Joel Reginald Dodoo Weiqiang Sun Feng Zhu Weisheng Hu Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong University China SMcGill University Canada State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University China

ISBN: (数字)9783903176249

ISBN: (纸本)9781728153964

Existing data center networks (DCNs) based on only electronic packet or all-optical switching still pose an exponential increase in power consumption and cost due to the current high demand for digital data and sustainability issues. The recent development of hybrid DCN prototypes is a promising solution offering relatively higher data throughput, low latency, reduction in cost and energy consumption. This paper explores the frontier of hybrid DCN with a special focus on energy consumption and cost. We evaluate the energy consumption per bit and the greenhouse gas (GHG) emission per year of three hybrid switching systems as compared with an optical point to point (ptp) network, results show that the hybrid switching systems will consume less energy per bit and are likely to emit less GHG annually. We present feasibility analysis on the energy consumption and cost of some hybrid DCN prototypes. Evaluation results show that Helios-like and Hybrid optical Switching-like prototypes achieve a power usage effectiveness (PUE) value lower than 1.2, an index which represents a very efficient level of energy performance in a data center network.

关键词： Germanium

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Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT images

arXiv

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arXiv 2021年

作者： Li, Jiaxuan Jin, Peiyao Zhu, Jianfeng Zou, Haidong Xu, Xun Tang, Min Zhou, Minwen Gan, Yu He, Jiangnan Ling, Yuye Su, Yikai John Hopcroft Center for Computer Science Shanghai Jiao Tong University Shanghai200240 China Department of Preventative Ophthalmology Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai200040 China Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University Shanghai200080 China Department of Electrical and Computer Engineering The University of Alabama AL35487 United States State Key Lab of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China

An accurate and automated tissue segmentation algorithm for retinal optical coherence tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the presence of the optic disc, the anatomical structure of the peripapillary region of the retina is complicated and is challenging for segmentation. To address this issue, we developed a novel graph convolutional network (GCN)-assisted two-stage framework to simultaneously label the nine retinal layers and the optic disc. Specifically, a multi-scale global reasoning module is inserted between the encoder and decoder of a U-shape neural network to exploit anatomical prior knowledge and perform spatial reasoning. We conducted experiments on human peripapillary retinal OCT images. The Dice score of the proposed segmentation network is 0.820 ± 0.001 and the pixel accuracy is 0.830 ± 0.002, both of which outperform those from other state-of-the-art techniques. Copyright © 2021, The Authors. All rights reserved.

关键词： optical tomography

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Silicon photonic devices for optical signal processing in wavelength, polarization and mode domains

Silicon photonic devices for optical signal processing in wa...

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Conference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2018

作者： Zhang, Yong He, Yu Zhou, Huanying Xu, Zhenzhen Jiang, Xinhong Guo, Xuhan Qiu, Ciyuan Su, Yikai State Key Lab of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China

We review recent progress on silicon photonic devices for optical signal processing, including nanobeam devices for wavelength filtering and switching, directional couplers for polarization/mode processing, and subwav... 详细信息

ISBN: (纸本)9781943580453

关键词： optical signal processing

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SBS-based OEO with high tuning resolution and wide tuning range by selecting different-order phase modulation sideband as pump

SBS-based OEO with high tuning resolution and wide tuning ra...

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optical Fiber communication Conference, OFC 2018

作者： Shi, Mengyue Yi, Lilin Hu, Weisheng State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China

Optoelectronic oscillator with tuning resolution of 10MHz and tuning range up to 40GHz is realized based on stimulated Brillouin scattering. The sideband mode suppression ratio is 50dB and the SSB phase noise is -120d... 详细信息

ISBN: (纸本)9781943580385

关键词： Stimulated Brillouin scattering

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Non-volatile optical switch based on a GST-loaded directional coupler 3

Non-volatile optical switch based on a GST-loaded directiona...

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3rd Optoelectronics Global Conference, OGC 2018

作者： Zhang, Hanyu Zhou, Linjie Lu, Liangjun Chen, Jianping Rahman, B.M.A. Shanghai Institute for Advanced Communication and Data Science Shanghai Key Lab of Navigation and Location Services State Key Laboratory of Advanced Optical Communication Systems and Networks SJTU Shanghai China Department of Electrical and Electronic Engineering University of London London United Kingdom

ISBN: (纸本)9781538673973

We present a non-volatile optical switch based on a directional coupler comprising a silicon-Ge2Sb2Te5 (GST) hybrid waveguide. The non-volatility of GST makes it attractive for reducing static power consumption in optical switching. Experimental results show that the optical switch has an extinction ratio of >20 dB in the bar state and >25 dB in the cross state around 1578 nm wavelength. The insertion loss is 2 dB and 7 dB for the bar and cross states, respectively. © 2018 IEEE.

关键词： Phase change materials

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Gated multi-task network for text classification

Gated multi-task network for text classification

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2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018

作者： Xiao, Liqiang Zhang, Honglun Chen, Wenqing State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University Artificial Intelligence Institute Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China

ISBN: (纸本)9781948087292

Multi-task learning with Convolutional Neural network (CNN) has shown great success in many Natural Language Processing (NLP) tasks. This success can be largely attributed to the feature sharing by fusing some layers among tasks. However, most existing approaches just fully or proportionally share the features without distinguishing the helpfulness of them. By that the network would be confused by the helpless even harmful features, generating undesired interference between tasks. In this paper, we introduce gate mechanism into multi-task CNN and propose a new Gated Sharing Unit, which can filter the feature flows between tasks and greatly reduce the interference. Experiments on 9 text classification datasets shows that our approach can learn selection rules automatically and gain a great improvement over strong baselines. © 2018 Association for Computational Linguistics.

关键词： Convolutional neural networks

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On-chip silicon polarization and mode handling devices

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Frontiers of Optoelectronics 2018年第1期11卷 77-91页

作者： Yong ZHANG Yu HE Qingming ZHU Xinhong JIANG Xuhan Guo Ciyuan QIU Yikai SU State Key Lab of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200240. China

Mode-and polarization-division multiplexing are new promising options to increase the transmission capacity of optical ***-chip silicon polarization and mode handling devices are key components in integrated mode-and polarization-division multi-plexed photonic *** this paper,we review our recent progresses on silicon-based polarization beam splitters,polarization splitters and rotators,mode（de）multiplexers,and mode and polarization selective *** polarization beam splitters and rotators are demonstrated with high extinction ratio,compact footprint and high fabrication *** on-chip mode multiplexing,we introduce a low loss and fabrication tolerant three-mode（de）multiplexer employing sub-wavelength grating *** analogy to a conventional wavelength selective switch in wavelength-division multi-plexing,we demonstrate a selective switch that can route mode-and polarization-multiplexed signals.

关键词： silicon photonics polarization beam splitter,polarization splitter and rotator mode （de）multiplexer,selective switch

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An Improved Non-Geometrical Stochastic Model for Non-WSSUS Vehicle-to-Vehicle Channels

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ZTE communications 2019年第4期17卷 62-71页

作者： HUANG Ziwei CHENG Xiang ZHANG Nan State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China Key Laboratory of Wireless Sensor Network&Communication Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China Wireless Algorithm Department Product Research and Development SystemZTE CorporationShanghai 201203China

A novel non-geometrical stochastic model(NGSM)for non-wide sense station ary uncorrelated scattering(non-WSSUS)vehicle-to-vehicle(V2V)channels is *** model is based on a conventional NGSM and employs a more accurate method to reproduce the realistic characteristics of V2V channels,which successfully extends the existing NGSM to include the line-of-sight(LoS)***,the statistical properties of the proposed model in different scenarios,including Doppler power spectral density(PSD),power delay profile(PDP),and the tap correlation coefficient matrix are simulated and compared with those of the existing ***,the simulation results dem onstrate not only the utility of the proposed model,but also the correctness of our theoreti cal derivations.

关键词： vehicle-to-vehicle non-WSSUS channels non-geometrical stochastic model LoS component statistical properties

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Learning what to share: Leaky multi-task network for text classification 27

Learning what to share: Leaky multi-task network for text cl...

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27th International Conference on Computational Linguistics, COLING 2018

作者： Xiao, Liqiang Zhang, Honglun Chen, Wenqing Wang, Yongkun Jin, Yaohui State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University China Artificial Intelligence Institute Shanghai Jiao Tong University China Network and Information Center Shanghai Jiao Tong University China

ISBN: (纸本)9781948087506

Neural network based multi-task learning has achieved great success on many NLP problems, which focuses on sharing knowledge among tasks by linking some layers to enhance the performance. However, most existing approaches suffer from the interference between tasks because they lack of selection mechanism for feature sharing. In this way, the feature spaces of tasks may be easily contaminated by useless features borrowed from others, which will confuse the models for making correct prediction. In this paper, we propose a multi-task convolutional neural network with the Leaky Unit, which has memory and forgetting mechanism to filter the feature flows between tasks. Experiments on five different datasets for text classification validate the benefits of our approach. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.

关键词： Classification (of information)

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Non-volatile silicon photonic devices enabled by phase change material

Non-volatile silicon photonic devices enabled by phase chang...

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International Conference on optical communications and networks (ICOCN)

作者： Linjie Zhou Hanyu Zhang Hao Hu Ningning Wang Liangjun Lu B. M. A. Rahman Jianping Chen State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Jiao Tong University Shanghai China Department of Electrical and Electronic Engineering University of London London U.K.

We review our recent research progress on silicon-Ge 2 Sb 2 Te 5 hybrid photonic devices. The optical transmission can be varied by 20 dB using micron-length GST. The inherent "self-holding" feature of GST ... 详细信息

关键词： optical ring resonators optical pulses optical waveguides Silicon optical switches Photonics

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