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International Conference on Computer Vision (ICCV)

作者： Cheng Xu Zhaoqun Li Qiang Qiu Biao Leng Jingfei Jiang School of Computer Science & Engineering Beihang University Duke University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beihang University National Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (数字)9781728148038

ISBN: (纸本)9781728148045

Multi-view shape descriptors obtained from various 2D images are commonly adopted in 3D shape retrieval. One major challenge is that significant shape information are discarded during 2D view rendering through projection. In this paper, we propose a convolutional neural network based method, CenterNet, to enhance each individual 2D view using its neighboring ones. By exploiting cross-view correlations, CenterNet learns how adjacent views can be maximally incorporated for an enhanced 2D representation to effectively describe shapes. We observe that a very small amount of, e.g., six, enhanced 2D views, are already sufficient for a panoramic shape description. Thus, by simply aggregating features from six enhanced 2D views, we arrive at a highly compact yet discriminative shape descriptor. The proposed shape descriptor significantly outperforms state-of-the-art 3D shape retrieval methods on the ModelNet and ShapeNetCore55 benchmarks, and also exhibits robustness against object occlusion.

关键词： Shape Three-dimensional displays Correlation Two dimensional displays Feature extraction Solid modeling Computational modeling

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Designing efficient metal contacts to Two-dimensional semiconductors MoSi2N4 and WSi2N4 Monolayers

arXiv

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arXiv 2020年

作者： Wang, Qianqian Cao, Liemao Liang, Shi-Jun Wu, Weikang Wang, Guangzhao Lee, Ching Hua Ong, Wee Liat Yang, Hui Ying Ang, Lay Kee Yang, Shengyuan A. Ang, Yee Sin Science Mathematics and Technology Singapore University of Technology and Design Singapore487372 Singapore Research Laboratory of Quantum Materials Singapore University of Technology and Design Singapore487372 Singapore College of Physics and Electronic Engineering Hengyang Normal University Hengyang421002 China National Laboratory of Solid State Microstructures School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore637371 Singapore Department of Physics National University of Singapore Singapore117542 Singapore College of Energy Engineering Zhejiang University HangzhouZhejiang310027 China State Key Laboratory of Clean Energy Utilization Zhejiang University HangzhouZhejiang310027 China Engineering Product Development Singapore University of Technology and Design Singapore487372 Singapore

Metal contacts to two-dimensional (2D) semiconductors are ubiquitous in modern electronic and optoelectronic devices. Such contacts are, however, often plagued by strong Fermi level pinning (FLP) effect which reduces the tunability of the Schottky barrier height (SBH) and degrades the performance of 2D-semiconductor-based devices. In this work, we show that monolayer MoSi2N4 and WSi2N4 – a recently synthesized 2D material class with exceptional mechanical and electronic properties – exhibit strongly suppressed FLP and wide-range tunable SBH when contacted by metals. An exceptionally large SBH slope parameter of S=0.7 is obtained, which outperform the vast majority of other 2D semiconductors. Such surprising behavior arises from the unique morphology of MoSi2N4 and WSi2N4. The outlying Si-N layer forms a native atomic layer that protects the semiconducting inner-core from the perturbance of metal contacts, thus suppressing the FLP. Our findings reveal the potential of MoSi2N4and WSi2N4 monolayers as a novel 2D material platform for designing high-performance and energy-efficient 2D nanodevices. Copyright © 2020, The Authors. All rights reserved.

关键词： Electronic properties

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Design of Gesture Recognition System Based on Multi-Channel Myoelectricity Correlation

Design of Gesture Recognition System Based on Multi-Channel ...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Di Wu Huiyong Li Xuefeng Liu Jianwei Niu State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC) Beihang University Hangzhou Innovation Research Institute Beihang University

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Gesture recognition systems based on myoelectric signal have raised more and more attention from researchers. Traditional gesture recognition methods are susceptible to multiple types of noise and require a large number of features, which increase overhead and decrease recognition efficiency. Fully utilizing the characteristics of the signal to recognize gestures is a big challenge. This paper proposes an improved empirical mode decomposition method (XB-EMD) based on autocorrelation function to denoise myoelectric signal. In addition, a novel deep neural network (CRNet) which combines the CNN and RNN layers together is trained for classifying the gestures based on denoised myoelectric signal. Experimental results show that the proposed gesture recognition system can improve recognition effectiveness at 97.4\% with 10 typical gestures, and 72.55\% with 16 complicated gestures.

关键词： Correlation Gesture recognition Feature extraction Empirical mode decomposition Recurrent neural networks Sensors

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Publisher's Note: “Uncovering the path to low-field colossal magnetoresistance: A microscopic view of field driven percolative insulator-to-metal transition in manganites” [Appl. Phys. Lett. 122, 112402 (2023)]

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Applied Physics Letters 2023年第14期122卷

作者： Lifen Xiang Yang Shi Wei Chao Huanyu Zhang Qiang Li Wenjie Hu Wenbin Wang Hangwen Guo Changlin Zheng Joanne Etheridge Lifeng Yin Yinyan Zhu Xiaodong Zhou Jian Shen State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing and Department of Physics Fudan University Shanghai 200433 China Shanghai Qi Zhi Institute Shanghai 200232 China Materials Science and Engineering Monash University Clayton VIC 3800 Australia Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 China Monash Centre for Electron Microscopy Monash University Clayton VIC 3800 Australia School of Physics and Astronomy Monash University Clayton VIC 3800 Australia Shanghai Research Center for Quantum Sciences Shanghai 201315 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China

This article was originally published online on 14 March 2023 with an error in the first author's name. The name is correct as it appears above. All online vers

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Binary semantic Similarity Comparison based on software gene

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Journal of Physics: Conference Series 2019年第1期1325卷

作者： Wenjie Sun Yihang Chen Zheng Shan Fudong liu Qiuna Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Materials branch of State Grid Henan Electric Power Company Zhengzhou China

The similarity of binary code is widely used in code copyright protection, vulnerability mining, malicious code analysis and etc. In this paper, we proposed a method for measuring/evaluating the similarity of two binary files based on software genes. Some of Natural language processing methods were introduced into program semantics analysis, including word2vec and doc2vec models to generate assembly instruction embeddings and gene semantic embeddings. Then the longest common subsequence method was applied to evaluate the software similarity. Experiments show that our method can effectively evaluate the similarity of binary files.

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Pressure-induced large enhancement of Néel temperature and electric polarization in the hexagonal multiferroic Lu0.5Sc0.5FeO3

引用

Physical Review B 2019年第21期100卷 214408-214408页

作者： Fengliang Liu Changsong Xu Shoudong Shen Nana Li Hangwen Guo Xujie Lü Hongjun Xiang L. Bellaiche Jun Zhao Lifeng Yin Wenge Yang Wenbin Wang Jian Shen State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai 200433 China Center for High Pressure Science and Technology Advanced Research (HPSTAR) Shanghai 201203 China Physics Department and Institute for Nanoscience and Engineering University of Arkansas Fayetteville Arkansas 72701 USA Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China

Hexagonal ferrites (h−RFeO3) have attracted great attention for their high ferroelectric transition temperature, strong magnetoelectric couplings, and tunable Néel temperature (TN) and electric polarization. While introducing structural distortion has been previously found to be effective to raise TN and polarization in h−RFeO3, it is generally difficult to create sizable structural distortion by common approaches including substrate-induced epitaxial strain and chemical doping. Here, we use high-pressure x-ray-diffraction measurements to show that pressure can generate large structural distortion and R-layer displacement of h−RFeO3, resulting with dramatically enhancement of polarization and TN. Density-functional theory calculations reveal that the enlarged c/a ratio results in an ∼70 K increase of TN along with a significant enhancement of ferroelectric polarization. Our results suggest that pressure is effective to tune structural distortions and related multiferroicity of the h−RFeO3 system, making h−RFeO3 a promising material for spintronic applications.

关键词： Crystal structure Ferroelectricity First-principles calculations Magnetic phase transitions Pressure effects Multiferroics Density functional calculations X-ray diffraction

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Controlled Cyclic Remote state Preparation of Arbitrary Qubit states

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Computers, Materials & Continua 2018年第5期55卷 321-329页

作者： Mingming Wang Chen Yang Reza Mousoli Shanxi Key Laboratory of Clothing Intelligence School of Computer ScienceXi’an Polytechnic UniversityXi’an 710048China State and Local Joint Engineering Research Center for Advanced Networking&Intelligent Information Services School of Computer ScienceXi’an Polytechnic UniversityXi’an 710048China School of Law Criminal Justice and ComputingCanterbury Christ Church UniversityCanterburyKentUK

Quantum secure communications could securely transmit quantum information by using quantum ***,novel applications such as bidirectional and asymmetric quantum protocols have been *** this paper,we propose a new method for generating entanglement which is highly useful for multiparty quantum communications such as teleportation and Remote state Preparation(RSP).As one of its applications,we propose a new type of quantum secure communications,*** RSP *** from a four-party controlled cyclic RSP protocol of one-qubit states,we show that this cyclic protocol can be generalized to a multiparty controlled cyclic RSP protocol for preparation of arbitrary qubit *** point out that previous bidirectional and asymmetric protocols can be regarded as a simpler form of our cyclic RSP protocols.

关键词： Quantum secure communications remote state preparation cyclic communications asymmetric communications bidirectional communications quantum control.

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Self-calibration of LHAASO-KM2A electromagnetic particle detectors using single particles within extensive air showers

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Physical Review D 2022年第12期106卷 122004-122004页

作者： F. Aharonian Q. An Axikegu L. X. Bai Y. X. Bai Y. W. Bao D. Bastieri X. J. Bi Y. J. Bi J. T. Cai Z. Cao J. Chang J. F. Chang E. S. Chen L. Chen M. J. Chen M. L. Chen Q. H. Chen S. H. Chen S. Z. Chen T. L. Chen Y. Chen H. L. Cheng N. Cheng Y. D. Cheng S. W. Cui X. H. Cui Y. D. Cui B. D’Ettorre Piazzoli B. Z. Dai H. L. Dai Z. G. Dai Danzengluobu D. della Volpe K. K. Duan J. H. Fan Y. Z. Fan Z. X. Fan J. Fang K. Fang C. F. Feng L. Feng S. H. Feng X. T. Feng Y. L. Feng B. Gao C. D. Gao L. Q. Gao Q. Gao W. Gao W. K. Gao M. M. Ge L. S. Geng G. H. Gong Q. B. Gou M. H. Gu F. L. Guo J. G. Guo X. L. Guo Y. Q. Guo Y. Y. Guo Y. A. Han H. H. He H. N. He S. L. He X. B. He Y. He M. Heller Y. K. Hor C. Hou X. Hou H. B. Hu Q. Hu S. Hu S. C. Hu X. J. Hu D. H. Huang W. H. Huang X. T. Huang X. Y. Huang Y. Huang Z. C. Huang X. L. Ji H. Y. Jia K. Jia K. Jiang Z. J. Jiang M. Jin M. M. Kang T. Ke D. Kuleshov K. Levochkin B. B. Li C. Li F. Li H. B. Li H. C. Li H. Y. Li J. Li K. Li W. L. Li X. R. Li X. Li Y. Z. Li Z. Li E. W. Liang Y. F. Liang S. J. Lin B. Liu C. Liu D. Liu H. Liu H. D. Liu J. Liu J. L. Liu J. S. Liu J. Y. Liu M. Y. Liu R. Y. Liu S. M. Liu W. Liu Y. Liu Y. N. Liu W. J. Long R. Lu Q. Luo H. K. Lv B. Q. Ma L. L. Ma X. H. Ma J. R. Mao A. Masood Z. Min W. Mitthumsiri Y. C. Nan Z. W. Ou B. Y. Pang P. Pattarakijwanich Z. Y. Pei M. Y. Qi Y. Q. Qi B. Q. Qiao J. J. Qin D. Ruffolo A. Sáiz C. Y. Shao L. Shao O. Shchegolev X. D. Sheng J. Y. Shi H. C. Song Yu. V. Stenkin V. Stepanov Y. Su Q. N. Sun X. N. Sun Z. B. Sun P. H. T. Tam Z. B. Tang W. W. Tian B. D. Wang C. Wang H. Wang H. G. Wang J. C. Wang J. S. Wang L. P. Wang L. Y. Wang R. Wang R. N. Wang W. Wang X. G. Wang X. Y. Wang Y. Wang Y. D. Wang Y. J. Wang Y. P. Wang Z. H. Wang Z. X. Wang Z. Wang D. M. Wei J. J. Wei Y. J. Wei T. Wen C. Y. Wu H. R. Wu S. Wu X. F. Wu Y. S. Wu S. Q. Xi J. Xia J. J. Xia G. M. Xiang D. X. Xiao G. Xiao G. G. Xin Y. L. Xin Y. Xing Z. Xiong D. L. Xu R. X. Xu L. Xue D. H. Yan J. Z. Yan C. W. Yang F. F. Yang H. W. Yang J. Y. Yang L. L. Yang M. J. Yang R. Z. Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 69029 Heidelberg Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China 230026 Hefei Anhui China School of Physical Science and Technology & School of Information Science and Technology Southwest Jiaotong University 610031 Chengdu Sichuan China College of Physics Sichuan University 610065 Chengdu Sichuan China Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences 100049 Beijing China TIANFU Cosmic Ray Research Center 610299 Chengdu Sichuan China School of Astronomy and Space Science Nanjing University 210023 Nanjing Jiangsu China Center for Astrophysics Guangzhou University 510006 Guangzhou Guangdong China University of Chinese Academy of Sciences 100049 Beijing China Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences 210023 Nanjing Jiangsu China Key Laboratory of Cosmic Rays (Tibet University) Ministry of Education 850000 Lhasa Tibet China National Astronomical Observatories Chinese Academy of Sciences 100101 Beijing China Hebei Normal University 050024 Shijiazhuang Hebei China School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai) Sun Yat-sen University 519000 Zhuhai & 510275 Guangzhou Guangdong China Dipartimento di Fisica dell’Università di Napoli “Federico II” Complesso Universitario di Monte Sant’Angelo via Cinthia 80126 Napoli Italy School of Physics and Astronomy Yunnan University 650091 Kunming Yunnan China Département de Physique Nucléaire et Corpusculaire Faculté de Sciences Université de Genève 24 Quai Ernest Ansermet 1211 Geneva Switzerland Institute of Frontier and Inte

In the Large High Altitude Air Shower Observatory (LHAASO), the square kilometer array, with 5249 electromagnetic particle detectors (EDs) and 1188 muon detectors, is deployed to explore the gamma-ray sources above 30 TeV with unprecedented sensitivity and to measure primary cosmic rays in the energy range from 10 TeV to 100 PeV. The energetic particles produced by extensive air showers can serve as a continuously available source for calibration of the numerous EDs over a large area. In this study, the detector untriggered probability is first proposed to estimate the particle density at different distances from the shower core and distinguish the characteristic single-particle signal detected by each ED. This method uses science data directly, and does not require prior knowledge of the cosmic-ray elemental composition or hadronic interaction model. Experimental results show that this self-calibration can be used to determine the number of particles detected by each ED with an accuracy better than 2% within a time scale of hours, which is adequate to meet the physics requirements of the LHAASO experiment. With this high efficiency and accuracy, this calibration also provides an ideal method to monitor the detector performance throughout an expected lifetime of >10 years.

关键词： Cosmic rays & astroparticles Astrophysical & cosmological simulations Cosmic ray & astroparticle detectors Monte Carlo methods Probability theory Scintillators

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Brief Investigation on Square Root of a Node of <i>T</i><sub>3</sub>Tree

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Advances in Pure Mathematics 2018年第7期8卷 666-671页

作者： Guihong Chen Jianhui Li Department of Computer Science and Technology Neusoft Institute Guangdong Foshan China School of Electronics and Information Technology Sun Yat-sen University Guangzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

The article investigates some properties of square root of T3 tree’s nodes. It first proves several inequalities that are helpful to estimate the square root of a node, and then proves several theorems to describe th... 详细信息

关键词： Square Root Node Valuated Binary Tree Inequality

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Effect of Oxygen Interstitial Ordering on Multiple Order Parameters in Rare Earth Ferrite

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Physical Review Letters 2019年第24期123卷 247601-247601页

作者： Yang Zhang Wenbin Wang Wandong Xing Shaobo Cheng Shiqing Deng Manuel Angst Chu-Ping Yu Fanli Lan Zhiying Cheng David Mandrus Brian Sales Jian Shen Xiaoyan Zhong Nyan-Hwa Tai Rong Yu Jing Zhu National Center for Electron Microscopy in Beijing Key Laboratory of Advanced Materials (MOE) The State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 People’s Republic of China Institute of Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China Jülich Centre for Neutron Science JCNS and Peter Grünberg Institut PGI JARA-FIT Forschungszentrum Jülich GmbH 52425 Jülich Germany Department of Materials Science and Engineering National Tsing-Hua University Hsinchu 30013 Taiwan State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai 200433 China Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA

Oxygen interstitials and vacancies play a key role in modulating the microstructure and properties of nonstoichiometric oxide systems, such as those used for superconductors and multiferroics. key to understanding the tuning mechanisms resulting from oxygen doping is a knowledge of the precise positions of these lattice defects, and of the interaction both between these defects and with many order parameters. Here, we report how such information can, for the first time, be obtained from a sample of LuFe2O4.22 using a range of techniques including advanced electron microscopy, atomic-resolution spectroscopy, and density functional theory calculations. The results provide quantitative atomic details of the crystal unit cell, together with a description of the ferroelastic, ferroelectric, and ferromagnetic order parameters. We elucidate also the interaction between these order parameters and the positions of the oxygen interstitials in the oxygen-enriched sample. The comprehensive analysis of oxygen interstitial ordering provides insights into understanding the coupling among different degrees of freedom in rare earth ferrites and demonstrates that oxygen content regulation is a powerful tool for tuning the microstructure and properties for this class of quantum material.

关键词： Dopants Interstitials Microstructure Order parameters Ferrites Multiferroics Density functional theory Electron diffraction High-resolution electron energy loss spectroscopy High-resolution transmission electron microscopy Scanning transmission electron microscopy

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