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Optical Fiber Communication (OFC) Conference

作者： Keyan Zeng Liang Wang Ming Tang Deming Liu National Engineering Laboratory for Next Generation Internet Access System School of Optics and Electronic Information & Wuhan National Lab for Optoelectronics (WNLO) Huazhong University of Science and Technology Wuhan China

Without the need of coherent detection and hardware modification, Brillouin phase spectrum is digitally recovered for the first time from the Brillouin gain spectrum based on Kramers-Kronig relation in a conventional ... 详细信息

ISBN: (纸本)9781943580866

关键词： Optical fibers Optical fiber sensors Phase measurement Scattering Optical variables measurement Optical fiber communication Hardware

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Effect of motion cues on simulator sickness in a flight simulator 12th

Effect of motion cues on simulator sickness in a flight simu...

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12th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020

作者： Kim, Jiwon Hwang, Jihong Park, Taezoon Department of Industrial and Information Systems Engineering Soongsil University Seoul Korea Republic of Department of Mechanical System Design Engineering Seoul National University of Science and Technology Seoul Korea Republic of

ISBN: (纸本)9783030496944

The objective of this study is to investigate the effect of sensory conflict on the occurrence and severity of simulator sickness in a flight simulator. According to the sensory conflict theory, it is expected that providing motion cues that match the visual cues will reduce the discrepancy between the sensory inputs and thus reduce simulator sickness. We tested the effect of motion cues thorough a human subject experiment with a spherical type motion platform. After completing pre-experiment questionnaire including Motion Sickness Susceptibility Questionnaire (MSSQ) and Immersive Tendency Questionnaire (ITQ), two groups of participants conducted a flight simulation session with or without motion cues for 40 min. In the simulation session, participants were asked to fly through the gates sequentially arranged along the figure-eight shaped route. The Simulator Sickness Questionnaire (SSQ) was filled out after the exposure to compare groups between with and without motion cues. Physiological data, including electrodermal activity, heart rate, blood volume pressure, and wrist temperature were also collected to find the relationship with perceived simulator sickness. The results showed that simulator sickness and disorientation significantly lowered in motion-based group. Also, nausea and oculomotor were marginally lower when motion cue was given. This study supports sensory conflict theory. Providing proper motion cue corresponding to the visual flow could be considered to prevent simulator sickness. © Springer Nature Switzerland AG 2020.

关键词： Flight simulators

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Mn2+-Si4+ Co-Doped Al2o3- CE: (Y, Tb) Ag Composite Ceramic Phosphors for High Color Rendering White Led/Ld Illumination: An Investigation on the Luminescence Properties and Energy Transfer Mechanism

SSRN

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SSRN 2024年

作者： Jiang, Renjie Chen, Jie Li, Mingqin Tian, Yanna Shen, Shiji Yang, Xuan Tang, Yanru Sun, Yan Lin, Hui Zhou, Shengming Key Laboratory of Materials for High-Power Laser Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Shanghai Tech University Shanghai201210 China Engineering Research Center of Optical Instrument and System University of Shanghai for Science and Technology Shanghai200093 China Zhejiang Lab Hangzhou311121 China

Ce: YAG- Al2O3 composite ceramics are regarded as highly promising materials for laser illumination application due to their high luminous efficacy and thermal stability. Nevertheless, pure YAG-based ceramics exhibit limited color rendering index (CRI) for indoor lighting due to their low red emission component. In this study, we synthesized high-performance Ce, Mn-doped (Y, Tb)3Al5O12-Al2O3 composite ceramic phosphors via a solid-state reaction method. It was observed that the introduction of Mn2+ ions created a secondary luminescence center with an emission peak centered at 580 nm. As the Mn2+ concentration increased, the emission peak redshifted from 580 nm to 591 nm, leading to a significant enhancement in the color rendering index of the ceramics. The cross-energy transfer between Tb3+ and Mn2+, Ce3+ ions augmented the absorption and conversion of blue light by the ceramics, thereby reducing the correlated color temperature greatly. Based on these findings, ceramics with a Ce3+ concentration of 3 at% and a Mn2+ concentration of 4 at% exhibited the highest CRI values (81.3 and 75.6) under both laser excitation and LED excitation, establishing them as strong candidates for achieving high color rendering in white LED/LD illumination applications. © 2024, The Authors. All rights reserved.

关键词： Energy transfer

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Dynamic Crosstalk Monitoring of Real-time Transmission in Multi-core Fibers Based on Deep Learning

Dynamic Crosstalk Monitoring of Real-time Transmission in Mu...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Maoqi Zhang Kangjie Li Lin Gan Yizhao Chen Can Zhao Ming Tang Wuhan National Lab for Optoelectronics (WNLO) & National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China

We propose and experimentally demonstrate a novel dynamic crosstalk monitoring in multi-core fibers based on deep learning, by using asynchronous amplitude histogram (AAH). The mean absolute error (MAE) of crosstalk m... 详细信息

ISBN: (纸本)9781943580910

关键词： Deep learning Optical fibers Crosstalk Optical fiber networks Media Physical layer Optical crosstalk

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One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching

arXiv

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arXiv 2023年

作者： Yang, Siyuan Liu, Jun Lu, Shijian Hwa, Er Meng Kot, Alex C. Rapid-Rich Object Search Lab Interdisciplinary Graduate Programme Nanyang Technological University Singapore Singapore Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore Singapore School of Computer Science & Engineering Nanyang Technological University Singapore Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

One-shot skeleton action recognition, which aims to learn a skeleton action recognition model with a single training sample, has attracted increasing interest due to the challenge of collecting and annotating large-scale skeleton action data. However, most existing studies match skeleton sequences by comparing their feature vectors directly which neglects spatial structures and temporal orders of skeleton data. This paper presents a novel one-shot skeleton action recognition technique that handles skeleton action recognition via multi-scale spatialtemporal feature matching. We represent skeleton data at multiple spatial and temporal scales and achieve optimal feature matching from two perspectives. The first is multi-scale matching which captures the scale-wise semantic relevance of skeleton data at multiple spatial and temporal scales simultaneously. The second is cross-scale matching which handles different motion magnitudes and speeds by capturing sample-wise relevance across multiple scales. Extensive experiments over three large-scale datasets (NTU RGB+D, NTU RGB+D 120, and PKU-MMD) show that our method achieves superior one-shot skeleton action recognition, and outperforms SOTA consistently by large margins. Copyright © 2023, The Authors. All rights reserved.

关键词： Semantics

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Higher plant photosynthetic capability in autumn responding to low atmospheric vapor pressure deficit

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The Innovation 2021年第4期2卷 74-81页

作者： Yawen Wang Wenfang Xu Wenping Yuan Xiuzhi Chen Bingwei Zhang Lei Fan Bin He Zhongmin Hu Shuguang Liu Wei Liu Shilong Piao Physical Oceanography Laboratory College of Oceanic and Atmospheric SciencesOcean University of ChinaQingdao 266100China School of Atmospheric Sciences Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Sun Yat-sen UniversityZhuhai 519082China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University at ZhuhaiZhuhai 519087China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100038China School of Geography South China Normal UniversityGuangzhou 510631China National Engineering Laboratory for Applied Technology of Forestry&Ecology in South China and College of Biological Science and Technology Central South University of Forestry and TechnologyChangsha 410004China State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China

It has been long established that the terrestrial vegetation in spring has stronger photosynthetic capability than in ***,this study challenges this consensus by comparing photosynthetic capability of terrestrial vegetation between the spring and autumn seasons based on measurements of 100 in situ eddy covariance towers over global extratropical *** the majority of these sites,photosynthetic capability,indicated by light use efficiency(LUE)and apparent quantum efficiency,is significantly higher in autumn than in spring,due to lower atmosphere vapor pressure deficit(VPD)at the same air *** VPD differences also substantially explain the interannual variability of the differences in photosynthetic capability between spring and *** further reveal that VPD in autumn is significantly lower than in spring over 74.14% of extratropical areas,based on a global climate *** contrast,LUE derived from a data-driven vegetation production dataset is significantly higher in autumn in over 61.02% of extratropical vegetated *** Earth system models consistently projected continuous larger VPD values in spring compared with autumn,which implies that the impacts on vegetation growth will long exist and should be adequately considered when assessing the seasonal responses of terrestrial ecosystems to future climate conditions.

关键词： light use efficiency vapor pressure deficit vegetation index carbon cycle

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Locating Abnormal Event with Ultrafast Speed by Using Edge Detection Method in BOTDA Sensing system

Locating Abnormal Event with Ultrafast Speed by Using Edge D...

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OptoElectronics and Communications Conference, OECC

作者： Shang Liu Guijiang Yang Keyan Zeng Liang Wang Ming Tang Deming Liu National Engineering Laboratory for Next Generation Internet Access System School of Optics and Electronic Information & Wuhan National Lab for Optoelectronics (WNLO) Huazhong University of Science and Technology Wuhan China

We demonstrate an edge detection method for ultrafast locating of the abnormal BFS change in BOTDA sensing system, which improves the speed of event locating by over 400 times when compared with conventional methods.

ISBN: (数字)9781943580927

ISBN: (纸本)9781665400060

关键词： Image edge detection Sensors Strain Signal to noise ratio

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Crosstalk Monitoring and Outage Prediction in Multi-core Fibers Based on Multi-task Deep neural network

Crosstalk Monitoring and Outage Prediction in Multi-core Fib...

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OptoElectronics and Communications Conference, OECC

作者： Maoqi Zhang Kangjie Li Can Zhao Yizhao Chen Ming Tang Wuhan National Lab for Optoelectronics (WNLO) & National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China

We experimentally demonstrate multi-task neural network enabled simultaneous crosstalk monitoring and outage prediction for real-time transmission in multicore fibers. The estimated error of crosstalk monitoring is be... 详细信息

ISBN: (数字)9781943580927

ISBN: (纸本)9781665400060

关键词： Multicore processing Neural networks Crosstalk Optical fiber networks Multitasking Physical layer Real-time systems

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Half-Wave-Plate based Adaptive Polarization Controller

Half-Wave-Plate based Adaptive Polarization Controller

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Conference on Lasers and Electro-Optics (CLEO)

作者： Xuefeng Wang Yifan Zeng Ruolin Liao Li Shen Can Zhao Hao Wu Ming Tang Wuhan National Lab for Optoelectronics (WNLO) & National Engineering Laboratory for Next Generation Internet Access System School of Optics and Electronic Information Huazhong University of Science and Technology Wuhan China

We experimentally demonstrated an endlessly adaptive polarization controller based on a rotatable half-wave-plate on the lithium niobate platform. It is recommended to eliminate the carrier fading in a self-coherent c... 详细信息

ISBN: (纸本)9781943580910

关键词： Fading channels Communication systems Lithium niobate Lasers and electrooptics Electrooptical waveguides

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Regularly Truncated M-estimators for Learning with Noisy labels

arXiv

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arXiv 2023年

作者： Xia, Xiaobo Lu, Pengqian Gong, Chen Han, Bo Yu, Jun Yu, Jun Liu, Tongliang The Sydney AI Center School of Computer Science Faculty of Engineering The University of Sydney DarlingtonNSW2008 Australia The Australian AI Institute Faculty of Engineering and IT The University of Technology Sydney BroadwayNSW2007 Australia The PCA Lab The Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China The Department of Computing Hong Kong Polytechnic University Hong Kong The Department of Computer Science Hong Kong Baptist University Hong Kong The School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China The Department of Automation University of Science and Technology of China Hefei230026 China

The sample selection approach is very popular in learning with noisy labels. As deep networks "learn pattern first", prior methods built on sample selection share a similar training procedure: the small-loss examples can be regarded as clean examples and used for helping generalization, while the large-loss examples are treated as mislabeled ones and excluded from network parameter updates. However, such a procedure is arguably debatable from two folds: (a) it does not consider the bad influence of noisy labels in selected small-loss examples;(b) it does not make good use of the discarded large-loss examples, which may be clean or have meaningful information for generalization. In this paper, we propose regularly truncated M-estimators (RTME) to address the above two issues simultaneously. Specifically, RTME can alternately switch modes between truncated M-estimators and original M-estimators. The former can adaptively select small-losses examples without knowing the noise rate and reduce the side-effects of noisy labels in them. The latter makes the possibly clean examples but with large losses involved to help generalization. Theoretically, we demonstrate that our strategies are label-noise-tolerant. Empirically, comprehensive experimental results show that our method can outperform multiple baselines and is robust to broad noise types and levels. The implementation is available at https://***/xiaoboxia/RTM_LNL. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

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