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The 8th International Symposium on Test Automation &Instrumentation (ISTAI 2020)

作者： L. Zhou Y. Pan L. Lai J. Feng G. Zhan Shanghai Key Laboratory of On-line Testing and Control Technology Shanghai Institute of Measurement and Testing Technology Shanghai China

DC current ratio error is an essential measurement performance of DC current ratio instrument, for example, DC current comparator, DC current transformer and DC current sensor. Error determination contributes to the instrument rational use. Based on the principle of secondary differential current measurement, self-calibration method, equal-ratio calibration method and stage-connection equal-ratio calibration method were put forward according to the characteristics of different calibrated instruments. Then, the actual value and error of DC current ratio were available. Meanwhile, circuit diagrams, calibration process and examples were provided; measurement uncertainty was evaluated. The result shows that the proposed methods meet the calibration requirements of DC current ratio instruments; the expanded uncertainty for the 1 A: 1 A～ 1000 A: 0.5 A ratio is 1.7×10-8～8.4×10-6. The automatic measurement program can effectively improve the work efficiency.

关键词： electric current measurement measurement uncertainty calibration measurement errors

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Optical meta-waveguides for integrated photonics and beyond

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Light(Science & Applications) 2021年第12期10卷 2263-2306页

作者： Yuan Meng Yizhen Chen Longhui Lu Yimin Ding Andrea Cusano Jonathan A.Fan Qiaomu Hu Kaiyuan Wang Zhenwei Xie Zhoutian Liu Yuanmu Yang Qiang Liu Mali Gong Qirong Xiao Shulin Sun Minming Zhang Xiaocong Yuan Xingjie Ni State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua University100084 BeijingChina Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing and School of Information Science and TechnologyFudan UniversityShanghai 200433China School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Department of Electrical Engineering Pennsylvania State UniversityUniversity ParkPA 16802USA Optoelearonic Division Department of EngineeringUniversity of Sannio1-82100 BeneventoItaly Department of Electrical Engineering Stanford UniversityStanfordCA 94305USA Nanophotonics Research Centre Shenzhen Key Laboratory of Micro-Scale Optical Information TechnologyShenzhen UniversityShenzhen 518060China Key Laboratory of Photonic Control Technology Ministry of EducationTsinghua University100084 BeijingChina Yiwu Research Institute of Fudan University Chengbei RoadYiwu City 322000 ZhejiangChina Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074 HubeiChina

The growing maturity of nanofabrication has ushered massive sophisticated optical structures available on a photonic *** integration of subwavelength-structured metasurfaces and metamaterials on the canonical building block of optical waveguides is gradually reshaping the landscape of photonic integrated circuits,giving rise to numerous metawaveguides with unprecedented strength in controlling guided electromagnetic ***,we review recent advances in meta-structured waveguides that synergize various functional subwavelength photonic architectures with diverse waveguide platforms,such as dielectric or plasmonic waveguides and optical *** results and representative applications are comprehensively *** physical models with explicit design tutorials,either physical intuition-based design methods or computer algorithms-based inverse designs,are cataloged as *** highlight how meta-optics can infuse new degrees of freedom to waveguide-based devices and systems,by enhancing light-matter interaction strength to drastically boost device performance,or offering a versatile designer media for manipulating light in nanoscale to enable novel *** further discuss current challenges and outline emerging opportunities of this vibrant field for various applications in photonic integrated circuits,biomedical sensing,artificial intelligence and beyond.

关键词： waveguides waveguide beyond

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Coexistence of Ferroelectriclike Polarization and Dirac-like Surface State in TaNiTe5

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Physical Review Letters 2022年第10期128卷 106802-106802页

作者： Yunlong Li Zhao Ran Chaozhi Huang Guanyong Wang Peiyue Shen Haili Huang Chunqiang Xu Yi Liu Wenhe Jiao Wenxiang Jiang Jiayuan Hu Gucheng Zhu Chenhang Xu Qi Lu Guohua Wang Qiang Jing Shiyong Wang Zhiwen Shi Jinfeng Jia Xiaofeng Xu Wentao Zhang Weidong Luo Dong Qian Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) Shenyang National Laboratory for Materials Science School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China School of Physics and Key Laboratory of MEMS of the Ministry of Education Southeast University Nanjing 211189 China Key Laboratory of Quantum Precision Measurement of Zhejiang Province Department of Applied Physics Zhejiang University of Technology Hangzhou 310023 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China

By combining angle-resolved photoemission spectroscopy, scanning tunneling microscopy, atomic force microscope based piezoresponse force microscopy and first-principles calculations, we have studied the low-energy band structure, atomic structure, and charge polarization on the surface of a topological semimetal candidate TaNiTe5. Dirac-like surface states were observed on the (010) surface by angle-resolved photoemission spectroscopy, consistent with the first-principles calculations. On the other hand, piezoresponse force microscopy reveals a switchable ferroelectriclike polarization on the same surface. We propose that the noncentrosymmetric surface relaxation observed by scanning tunneling microscopy could be the origin of the observed ferroelectriclike state in this novel material. Our findings provide a new platform with the coexistence of a ferroelectriclike surface charge distribution and novel surface states.

关键词： Ferroelectricity Surface states Surfaces Topological materials Angle-resolved photoemission spectroscopy Piezoresponse force microscopy

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Design and synthesis of three-dimensional hybrid Ruddlesden-Popper nickelate single crystals

arXiv

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arXiv 2023年

作者： Li, Feiyu Guo, Ning Zheng, Qiang Shen, Yang Wang, Shilei Cui, Qihui Liu, Chao Wang, Shanpeng Tao, Xutang Zhang, Guang-Ming Zhang, Junjie State Key Laboratory of Crystal Materials Institute of Crystal Materials Shandong Jinan250100 China CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing100190 China Key Laboratory of Artificial Structures and Quantum Control School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing China Frontier Science Center for Quantum Information Beijing10008 China

Advancement of technologies relies on discovery of new materials with emerging physical properties that are determined by their crystal structures. Ruddlesden-Popper (R-P) phases with formula of An+1BnX3n+1 (n=1,2,3…∞) are among one of the most widely studied class of materials due to their electrical, optical, magnetic, thermal properties and their combined multifunctional properties.1-6 In R-P phases, intergrowth is well-known in the short range;7-9 however, no existing compounds have been reported to have different n mixed in bulk single crystals. Here we design a hybrid R-P nickelate La2NiO4·La3Ni2O7 by alternatively stacking bilayers, which is the active structural motif in the newly discovery high-Tc superconductor La3Ni2O7 and single layers of the antiferromagnetic insulator La2NiO4. We report the successful synthesis of La2NiO4·La3Ni2O7 single crystals, and X-ray diffraction and real-space imaging vis STEM show that the crystal structure consists of single layers and bilayers of NiO6 octahedral stacking alternatively perpendicular to the ab plane, characterized by the orthorhombic Immm (No.71) space group. Resistivity measurements indicate a peculiar insulator-to-metal transition around 140 K on cooling. Correlated density functional theory (DFT+U) calculations corroborate this finding, and reveal that the single layer becomes paramagnetic metallic due to charge transfer via LaO layers. The discovery of La2NiO4·La3Ni2O7 opens a door to access a completely new family of 3D hybrid R-P phases with the formula of An+1BnX3n+1·A'm+1B'mX'3m+1 (n≠m), which potentially host a plethora of emerging physical properties for various applications. Copyright © 2023, The Authors. All rights reserved.

关键词： Nickel compounds

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Brain-wide N2cG compensation permits glycoprotein-deleted rabies virus to trace neural circuits across multiple synapses

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Journal of Innovative Optical Health Sciences 2023年第6期16卷 13-21页

作者： Nengsong Luo Zengpeng Han Jiaxin Kou Yuxiang Cai Xin Yang Jie Wang Kunzhang Lin Fuqiang Xu Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074P.R.China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Key Laboratory of Magnetic Resonance in Biological SystemsWuhan Center for Magnetic ResonanceInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan430071P.R.China University of Chinese Academy of Sciences Beijing100049P.R.China Shenzhen Key Laboratory of Viral Vectors for Biomedicine Key Laboratory of Quality Control Technology for Virus-Based TherapeuticsGuangdong Provincial Medical Products AdministrationNMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal Productsthe Brain Cognition and Brain Disease Institute(BCBDI)Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutionsShenzhen518055P.R.China Department of Pathophysiology Key Lab of Neurological Disorder of Education MinistrySchool of Basic MedicineTongji Medical CollegeHuazhong University of Science and TechnologyWuhanP.R.China Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Shenzhen518055P.R.China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai200031P.R.China

Rabies-viruses-based retrograde tracers can spread across multiple synapses in a retrograde direction in the nervous system of rodents and primates,making them powerful tools for determining the structure and function of the complicated neural circuits of the ***,they have some limitations,such as posing high risks to human health and the inability to retrograde trans-synaptic label inputs from genetically-de¯ned starter ***,we established a new retrograde trans-multi-synaptic tracing method through brain-wide rabies virus glycoprotein(RVG)compensation,followed by glycoprotein-deleted rabies virus(RV-△G)infection in specific brain ***,in combination with the avian tumor virus receptor A(TVA)controlled by a cell-type-specific promoter,we found that EnvA-pseudotyped RV-△G can mediate e±cient retrograde trans-multi-synaptic transduction from cell-type-specific starter *** study provides new alternative methods for neuroscience researchers to analyze the input neural networks of rodents and nonhuman primates.

关键词： Rabies virus retrograde tracers trans-multi-synaptic tracing AAV-PHP.eB celltype-specific input neural networks

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TOWARDS TRUSTWORTHY MULTI-LABEL SEWER DEFECT CLASSIFICATION VIA EVIDENTIAL DEEP LEARNING

arXiv

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arXiv 2022年

作者： Zhao, Chenyang Hu, Chuanfei Shao, Hang Wang, Zhe Wang, Yongxiong Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing deep learning model to realize the sewer inspection system, benefiting from the capability of data-driven feature representation. However, the inherent uncertainty of sewer defects is ignored, resulting in the missed detection of serious unknown sewer defect categories. In this paper, we propose a trustworthy multi-label sewer defect classification (TMSDC) method, which can quantify the uncertainty of sewer defect prediction via evidential deep learning. Meanwhile, a novel expert base rate assignment (EBRA) is proposed to introduce the expert knowledge for describing reliable evidences in practical situations. Experimental results demonstrate the effectiveness of TMSDC and the superior capability of uncertainty estimation is achieved on the latest public benchmark. Copyright © 2022, The Authors. All rights reserved.

关键词： Sewers

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Development of a Modified Bouc-Wen Model for Butterfly Hysteresis Behaviors 7

Development of a Modified Bouc-Wen Model for Butterfly Hyste...

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7th International Conference on control Science and Systems Engineering, ICCSSE 2021

作者： Li, Zikang Xu, Hongzhi Zhang, Xiuyu Shu, Feng Li, Zhi Automation for Northeastern University State Key Laboratory of Synthetical Shenyang110819 China Northeast Electric Power University School of Automation Engineering 132012 China Academy for Engineering and Technology Fudan University Shanghai Engineering Research Center of Ultr-Motion Control and Measurement 200433 China

ISBN: (纸本)9781665444057

Butterfly hysteresis effects are complicated nonlinear behaviors. In comparison with single-loop hysteresis behaviors, butterfly hysteresis loops are composed of two single hysteresis loops and the directions of the butterfly hysteresis loop include both clockwise and counter-clockwise. Therefore, it brings a great challenge to build a proper model to describe the butterfly hysteresis behaviors, since most available hysteresis models are applied to describe the single-loop hysteresis. To solve this problem, a modified Bouc-Wen model with an absolute excitation function and modified elastic polynomials is developed in this paper. Experimental results are carried out via a dielectric elastomer actuator (DEA) to validate the effectiveness of the proposed model. © 2021 IEEE.

关键词： Hysteresis

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New Sensing Technologies for Monitoring Machinery,Structures,and Manufacturing Processes

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Journal of Dynamics, Monitoring and Diagnostics 2023年第2期2卷 69-88页

作者： JDMD Editorial Office Zhaoyan Fan Robert X.Gao Qingbo He Yi Huang Tianxi Jiang Zhike Peng Luc Thévenaz Yuyong Xiong Shuncong Zhong Editorial Office of JDMD Chongqing University of TechnologyChongqingPeople’s Republic of China Department of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallisORUSA Department of Mechanical and Aerospace Engineering Case Western Reserve UniversityClevelandOHUSA State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhouPeople’s Republic of China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhouPeople’s Republic of China School of Mechanical Engineering Ningxia UniversityYinchuanPeople’s Republic of China EPFL Ecole Polytechnique Fédérale de Lausanne Group for Fibre OpticsSCI-STI-LT Station 111015 LausanneSwitzerland

Sensing is the fundamental technique for sensor data acquisition in monitoring the operation condition of the machinery,structures,and manufacturing *** this paper,we briefly discuss the general idea and advances of various new sensing technologies,including multiphysics sensing,smart materials and metamaterials sensing,microwave sensing,fiber optic sensors,and terahertz sensing,for measuring vibration,deformation,strain,acoustics,temperature,spectroscopic,*** on the observations from the state of the art,we provide comprehensive discussions on the possible opportunities and challenges of these new sensing technologies so as to steer future development.

关键词： fiber optic sensor metamaterials sensing microwave sensing multiphysics sensing terahertz sensing

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Tailoring the Anomalous Hall Effect in Van Der Waals Ferromagnet Fe3gete2

SSRN

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SSRN 2024年

作者： Wu, Kaile Wang, Qin Wang, Junshan Jiang, Jiaolin Zhao, Tian Zhao, Dong Han, Dan Quan, Zhiyong Ma, Zongmin Wang, Haomin Sang, Shengbo Ge, Yang Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System The Ministry of Education Taiyuan University of Technology Taiyuan030024 China College of Materials Science and Engineering Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Magnetic Molecules and Magnetic Information Materials of Ministry of Education School of Chemistry and Materials Science Shanxi Normal University Taiyuan030031 China State Key Laboratory of Dynamic Measurement Technology North University of China Shanxi Taiyuan030051 China School of Semiconductor and Physics North University of China Shanxi Taiyuan030051 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030024 China

Two-dimensional van der Waals magnetic materials have shown fascinating natural ferromagnetic properties at the atomic level, which has great potential in fields of low power spintronics, quantum computing and optical communication. Herein, the ferromagnetism and magnetic anisotropy of bulk Fe3GeTe2 (FGT) were investigated, and the testing results indicate a pronounced vertical magnetic anisotropy below the Curie temperature (Tc=165 K) of FGT. In addition, the anomalous Hall effect of FGT nanoflakes was studied at various temperatures and thicknesses by standard Hall bar device in detail. The results show the anomalous Hall resistance (0.764 Ω at 20 K decreased to 0.332 Ω at 140 K) and the obvious rectangular magnetic hysteresis rings below Tc (165 K). Furthermore, we calculated the carrier concentration (2.5×1022 cm-3 at 20K) and mobility (13.3 cm2/(v·s) at 20K) under large magnetic field (-6 T~6 T). Particularly, we demonstrated that the strong tailoring ability of the anomalous Hall effect for FGT-based magnetoelectric transport devices comes form the regulation of magnetic moment by sample thickness and magnetic field angle. The above experimental results verify that FGT is expected to be a prime candidate material for ultrathin 2D spintronic devices to the next generation. © 2024, The Authors. All rights reserved.

关键词： Germanium alloys

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Person Re-identification Lightweight Network Based on Progressive Attention Mechanism

Person Re-identification Lightweight Network Based on Progre...

引用

International Symposium on Autonomous Systems (ISAS)

作者： Chunlei Shi Dan Niu Hao Gong Mei Zhang Zhan Cao Yulong Jin Southeast University – Monash University Joint Graduate School (Suzhou) Southeast University Nanjing China School of Automation Southeast University Key Laboratory of Measurement and Control of CSE Nanjing China Landmark (Shanghai) Vision Technology Co. Ltd. Shanghai China College of Sciences Nanjing Agricultural University Nanjing China ZC Rubber(Jiande) Co.Ltd Hangzhou China

This paper proposes a lightweight person re-identification network that incorporates a progressive attention mechanism The network aims to address the low accuracy issue in person re-identification caused by various factors such as different viewing angles, poses, illumination conditions, occlusions, and low image resolutions. Additionally, the network design takes into consideration the need for lightweight model deployment in practical scenarios. To improve the network’s performance using limited training data, data augmentation techniques are employed to expand the training dataset and enhance the robustness of the network model. The Resnet-50 architecture serves as the backbone network, and a feature shunt structure with depthwise separable convolutions is introduced to reduce computational parameters and accelerate person retrieval inference speed. Furthermore, the feature extraction and embedding processes are separated, and a progressive attention module is introduced. This module gradually segments the features into local blocks of different granularity, allowing for the learning of discriminative features at each granularity level. This progressive approach enhances the network’s ability to perceive foreground information from coarse to fine levels and improves feature matching capability. To supervise the model, a triplet loss function is utilized, specifically designed to address challenging samples. This loss function helps reduce intra-class variations while increasing inter-class separability. The efficacy of the proposed method in person re-identification is substantiated by conducting experimental evaluation on both the Market-1501 and DukeMTMC-ReID datasets. The experimental results demonstrate that the method achieves mAP indices of 88.1% and 79.1% on the respective datasets, providing strong evidence for its effectiveness in addressing the challenges of person re-identification.

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