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arXiv 2024年

作者： Zhang, Zaizhe Yang, Jingxin Xie, Bo Feng, Zuo Zhang, Shu Watanabe, Kenji Taniguchi, Takashi Yang, Xiaoxia Dai, Qing Liu, Tao Liu, Donghua Liu, Kaihui Song, Zhida Liu, Jianpeng Lu, Xiaobo International Center for Quantum Materials School of Physics Peking University Beijing100871 China National Engineering Research Center of Electromagnetic Radiation Control Materials University of Electronic Science and Technology of China Chengdu611731 China School of Physical Science and Technology ShanghaiTech University Shanghai201210 China State Key Laboratory for Mesoscopic Physics Frontiers Science Centre for Nano-optoelectronics School of Physics Peking University Beijing100871 China CAS Key Laboratory of Nanophotonic Materials and Devices CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing100871 China Research Center for Electronic and Optical Materials National Institute of Material Sciences 1-1 Namiki Tsukuba305-0044 Japan Research Center for Materials Nanoarchitectonics National Institute of Material Sciences 1-1 Namiki Tsukuba305-0044 Japan School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai200240 China School of Materials and Energy University of Electronic Science and Technology of China Chengdu611731 China Collaborative Innovation Center of Quantum Matter Beijing100871 China Hefei National Laboratory Hefei230088 China

The interplay between strong electron-electron interaction and symmetry breaking can have profound influence on the topological properties of materials1–4. In magic angle twisted bilayer graphene (MATBG), the flat band with a single SU(4) flavor associated with the spin and valley degrees of freedom gains non-zero Chern number when C2z symmetry or C2zT symmetry is broken. Electron-electron interaction can further lift the SU(4) degeneracy, leading to the Chern insulator states5–14. Here we report a complete sequence of zero-field Chern insulators at all odd integer fillings (ν = ±1, ±3) with different chirality (C = 1 or -1) in hBN aligned MATBG which structurally breaks C2z symmetry. The Chern states at hole fillings (v = -1, -3), which are firstly observed in this work, host an opposite chirality compared with the electron filling scenario. By slightly doping the v = ±3 states, we have observed new correlated insulating states at incommensurate moiré fillings which is highly suggested to be intrinsic Wigner crystals according to our theoretical calculations. Remarkably, we have observed prominent Streda-formula violation around v = -3 state. By doping the Chern gap at v = -3 with notable number of electrons at finite magnetic field, the Hall resistance Ryx robustly quantizes to ~ h/e2 whereas longitudinal resistance Rxx vanishes, indicating that the chemical potential is pinned within a Chern gap, forming an incommensurate Chern insulator. By providing the first experimental observation of zero-field Chern insulators in the flat valence band, our work fills up the overall topological framework of MATBG with broken C2z symmetry. Our findings also demonstrate that doped topological flat band is an ideal platform to investigate exotic incommensurate correlated topological states. © 2024, CC BY-NC-SA.

关键词： Degrees of freedom (mechanics)

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Research on a sixaxis force/torque sensor based on thin film sputtering technology and its decoupling for space robot

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measurement 2025年 256卷

作者： Jingjing Xu Aiguo Song Yuhan Chen Wenxuan Qu State Key Laboratory of Digital Medicine Engineering and the Jiangsu Key Laboratory of Remote Measurement and Control School of Instrument Science and Engineering Southeast University Nanjing 210096 Jiangsu China Shaanxi Apparatus Research Institute China Aerospace Science and Technology Corporation Xi’an 710025 Shaanxi China

Since space robots need to possess the capability for long-term operation and adaptability to complex working conditions such as high and low temperatures, while traditional bonded strain gauges suffer from issues like narrow temperature range, insufficient reliability, hysteresis and creep, the thin film sputtering technology is used as an alternative. To tackle the issues of limited measurement dimension and insufficient accuracy in thin film sputtered multi-dimensional force sensors, a sixaxis force/torque (F/T) sensor for space robots based on thin film sputtering technology is designed in this paper. Strain gauges are sputtered on the upper and lower surfaces of the crossbeam elastomer main beams and on the outer surfaces of floating beams. To improve static accuracy, an improved iterative decoupling algorithm based on coupling error modeling is proposed, featuring simple principle, small sample amount requirement, and online decoupling capability. In sensor static calibration and decoupling experiments, both single-dimensional and multi-dimensional composite loading tests verified its measurement accuracy reaching 1%. Comparative studies with conventional decoupling algorithms demonstrate that the proposed algorithm exhibits superior performance in both measurement accuracy and computational efficiency. Furthermore, the comparison with bonded strain gauge sensor further validates the accuracy advantage of this sensor.

关键词： Sixaxis force/torque (F/T) sensor Thin film sputtering Decoupling Strain gauge

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CB-Path2Vec: A Cross Block Path Based Representation for Software Defect Prediction

CB-Path2Vec: A Cross Block Path Based Representation for Sof...

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International Conference on Computer and communications (ICCC)

作者： Xiyu Zhang Yang Lu Ke Shi School of Computer Science and Information Engineering Hefei University of Technology Ministry of Education Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Hefei China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Software defects are common in software projects and threaten the security of software. Software defect prediction has been proven to be an effective method to solve software security problems, assisting developers in finding potential errors and effectively allocating test resources, in the early stage of the software life cycle. Traditional defect prediction models are designed based on hand-designed metric features, but these features usually cannot capture the semantic and structural information of code. In order to solve this problem, this paper proposes a novel software defect prediction model called CB-Path2Vec, which can automatically learn features composed of Cross Block path for representing source code and use them for software defect prediction. An evaluation on the public PROMISE dataset shows that on average CB-Path2Vec improvements over the state-of-the-art method both on within-project defect prediction (WPDP) and cross-project defect prediction (CPDP).

关键词： measurement Conferences Semantics Predictive models Software Security

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Research status on ankle rehabilitation robot

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Recent Patents on Mechanical engineering 2019年第2期12卷 104-124页

作者： Jiang, Jingang Min, Zhaowei Huang, Zhiyuan Ma, Xuefeng Chen, Yihao Yu, Xiaoyang Robotics and ITS Engineering Research Center Harbin University of Science and Technology Harbin150080 China Intelligent Machine Institute Harbin University of Science and Technology Harbin150080 China School of Measurement-Control Tech and Communications Engineering Harbin University of Science and Technology Harbin150080 China

Background: Ankle is an important bearing joint in the human body. Unreasonable exercise patterns and exercise intensity can cause ankle injuries. This will seriously affect patients’ daily life. With the increase in the number of patients, the labor intensity of doctors is increasing. Ankle rehabilitation robot can help doctors free themselves from repetitive tasks, which is, of more practical value. Objective: To give a general summary of recent ankle rehabilitation robot and introduce the respective characteristics and development including structure type, drive type and rehabilitation training mode. Methods: This paper investigates various representative studies related to the ankle rehabilitation robot. The structure type, drive type, rehabilitation training mode and applications situation of these ankle rehabilitation robot are discussed. Results: The characteristics of different types of ankle rehabilitation robots are analyzed. This paper analyzes the main problems in its development. The solutions to the issues and the current and future research on ankle rehabilitation robot are discussed. Conclusion: The ankle rehabilitation robots are classified into motor drive type, pneumatic artificial muscle and pneumatic cylinder drive type and others. Further improvements are needed in the aspects of mechanical design, safety, virtual reality, brain-computer interface, control strategies and algorithm of bio-syncretic mechanism system of ankle rehabilitation robot. More related patents about ankle rehabilitation robot need to be developed. © 2019 Bentham Science Publishers.

关键词： Cylinders (shapes)

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F-ResPoint: a multi-modal fusion object detection algorithm based on frustum culling

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Displays 2025年 90卷

作者： Jinjun Rao Kai Yang QinFei Zhao Zhenwei Li Jinbo Chen Jingtao Lei Mei Liu Wojciech Giernacki Department of Precision Mechanical Engineering School of Mechatronic Engineering and Automation Shanghai University Shanghai 200444 China Mechanical and Electrical Department Kashi Polytechnic Vocational and Technical College Xinjiang 844700 China Belt and Road Joint Laboratory on Measurement and Control Technology Huazhong University of Science and Technology Wuhan 430074 China Institute of Robotics and Machine Intelligence Faculty of Control Robotics and Electrical Engineering Poznan University of Technology Piotrowo 3a 60-965 Poznan Poland

Accurate and lightweight 3D object detection is crucial for the perception ability of mobile intelligent robots. Aiming at the problem that current 3D object detection is difficult to balance lightweight and accuracy, this paper presents a multimodal fusion object detection method, F-ResPoint, based on point cloud culling in vision frustum. F-ResPoint is a lightweight two-stage object detection method, in which the frustum point cloud generation algorithm based on the improved YOLOv5 is used first to obtain the point cloud containing the object information in the view frustum from the point cloud in the original field. Then, the point cloud detection network based on the Residual-SA module is utilized for detecting the three-dimensional (3D) object from point cloud in the view frustum and obtaining its position and actual size of the object in 3D space. Experimental results demonstrate that this method achieves high detection accuracy and maintains good real-time performance while remaining lightweight.

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A Temporal-Spatial Spectrum Prediction Based on Homotopy Theory for UAVs with Arbitrary Flight Paths

A Temporal-Spatial Spectrum Prediction Based on Homotopy The...

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International Conference on communication technology (ICCT)

作者： Wenjun Zhou Shan Luo Yuwei Zhao Rongping Lin School of Aeronautics and Astronautics University of Electronic Science and Technology of China (UESTC) Chengdu China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province UESTC Chengdu China School of Information and Communication Engineering UESTC Chengdu China

ISBN: (纸本)9781665432078

The higher demand for wireless communication services has promoted the widespread use of unmanned aerial vehicles (UAVs), but the spectrum resources for UAVs communication are becoming scarce. UAVs can use spectrum prediction to find available frequency bands and share spectrum with other users to solve the problem of spectrum resources shortage. However, due to the rapid speed of UAVs and constantly changing spectral environment, it is difficult to obtain the historical data of the next location in advance. Therefore, the existing methods cannot be well applied to the actual scenario of UVA flying randomly in a certain area. Based on the concept of homotopy theory (HT) and Hidden Markov model (HMM), we propose a new method that first estimates the historical information of the next location, then performs the spectrum prediction at the next moment. We conduct experiments with simulated data, and the results show that the proposed method can effectively predict the spectrum state of UAV flying in a specific area on the premise of obtaining the prior information of limited locations.

关键词： Wireless communication Conferences Hidden Markov models Predictive models Markov processes Autonomous aerial vehicles communications technology

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Research on Power Harmonic Reconstruction Using Compressed Sensing

Research on Power Harmonic Reconstruction Using Compressed S...

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第三十九届中国控制会议

作者： Fei Zhong Yang Liu School of Electronics and Information Engineering Changchun Institute of Technology National and Local Joint Engineering Research Center for Intelligent Distribution Network Measurement and Control and Safe Operation Technology

With the development of modern industry,more and more power harmonics threaten the safety and stability of power *** at the extremely sparse characteristic of the harmonic signal in the Fourier domain,this paper proposes a method of harmonic signal reconstruction based on compressed sensing,which performs compression sampling on the original harmonic and Interharmonics signals *** show that using the compressed sensing algorithm,for the entire harmonic,the reconstruction error reaches 10 4,and the RSNR is improved by 34.66%.For interharmonics,the reconstruction effect is improved by an order of magnitude over FFT,and the RSNR is improved by 22.15%.And further study the impact of the number of sampling points,sampling frequency and sparsity on the reconstruction of harmonic *** can be seen that the compressed sensing algorithm retains the sparse features of the original signal during the observation process,and as the sampling frequency increases,the reconstruction effect improves *** provides conditions for the next step of feature extraction of harmonic signals.

关键词： Power harmonics CS Interharmonics Power Quality

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Research on 4G and 5G Authentication Signaling 2

Research on 4G and 5G Authentication Signaling

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2019 2nd International Conference on Advanced Algorithms and control engineering, ICAACE 2019

作者： Song, Lei Xu, Zhan Tian, Zhigang Chen, Jinhui Zhi, Ruxin School of Information and Communication Engineering Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

In recent years, the development and standardization of 5G networks have received extensive attention. 3GPP officially confirmed that Service-Based Architecture (SBA) is the unified infrastructure of the 5G core network (5GC). The Service-Based Interface (SBI) is an important part of the SBA for interaction between network function services within the 5GC. The fifth generation mobile network will support a range of use cases and requirements that are completely different from traditional 4G networks, such as providing a high level of authentication mechanisms. This paper is organized as follows: First, we compare the difference between 4G authentication and 5G authentication in three aspects including the 4G architecture, authentication process, and communication protocol stack, then implement the simulation environment, and finally evaluate the performance by comparing the delay. © Published under licence by IOP Publishing Ltd.

关键词： Authentication

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Progress of the TianQin project

arXiv

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arXiv 2025年

作者： Luo, Jun Bai, Shaojun Bai, Yan-Zheng Cai, Lin Dang, Hao Dong, Qijia Duan, Hui-Zong Du, Yuanbo Fan, Lei Fu, Xinju Gao, Yong Gou, Xingyu Gu, Defeng Guo, Changlei Hong, Wei Hu, Bin Hu, Heran Hu, Ming Hu, Yi-Ming Huang, Fa Peng Ji, Xin Jiang, Yuan-Ze Li, En-Kun Li, Hongyin Li, Ming Li, Ming Li, Yong Li, Zhu Li, Zizheng Lian, JunXiang Liang, Yu-Rong Lin, Xudong Liu, Jianping Liu, Lin-Xia Liu, Kui Liu, Li Liu, Minghe Liu, Qi Liu, Yan-Chong Liu, Yue Luo, Peng-Shun Luo, Yingxin Ma, Yi-Qiu Ma, Yun Meng, Yunhe Milyukov, Vadim Peng, Jian-Guo Postnov, Konstantin Qu, Shao-Bo Shan, Tilei Shao, Cheng-Gang Shi, Changfu Song, Pei-Yi Song, Yunfei Su, Wei Tan, Ding Yin Tan, Shuping Tan, Yu-Jie Tan, Wenhai Tu, Liangcheng Wang, Cheng-Rui Wang, Guoyong Wang, Lijiao Wang, Pan-Pan Wang, Shun Wang, Xiaoyong Wang, Xudong Wang, Yan Wei, Ran Wu, Shu-Chao Xu, Jie Xu, Zhi-Lin Xue, Chao Yan, Hao Yan, Yong Yang, Changpeng Yang, Shanqing Yeh, Hsien-Chi Yin, Hang Tong, Yelong Yu, Jian-Bo Yuan, Wen-Hao Zhang, Bu-Tian Zhang, Dexuan Zhang, Jian-Dong Zhang, Jie Zhang, Lihua Zhang, Xuefeng Zhao, Guoying Zhao, Liqian Zhao, Xin Zhou, An-Nan Zhou, Hao Zhou, Peng Zhou, Yupeng Zhou, Ze-Bing Zhu, Fan Zhu, Liang-Gui Zhu, Lin Zou, Kui Mei, Jianwei MOE Key Laboratory of TianQin Mission TianQin Research Center for Gravitational Physics School of Physics and Astronomy Frontiers Science Center for TianQin Gravitational Wave Research Center of CNSA Sun Yat-sen University Zhuhai Campus Zhuhai519082 China National Gravitation Laboratory MOE Key Laboratory of Fundamental Physical Quantities Measurement School of Physics Huazhong University of Science and Technology Wuhan430074 China DFH Satellite Co. Ltd. Beijing100094 China Beijing Institute of Space Mechanics & Electricity Beijing100076 China National Key Laboratory of Spacecraft Thermal Control of Institute of Spacecraft System Engineering Beijing100094 China Space Star Technology CO. LTD. Beijing100095 China Beijing Institute of Control Engineering Beijing100094 China School of Artificial Intelligence Sun Yat-sen University Zhuhai Campus Zhuhai519082 China Shanxi Xi’an710199 China Sternberg Astronomical Institute M.V. Lomonosov Moscow State University Moscow119234 Russia Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China

TianQin is a future space-based gravitational wave observatory targeting the frequency window of 10−4 Hz ∼ 1 Hz. A large variety of gravitational wave sources are expected in this frequency band, including the merger of massive black hole binaries, the inspiral of extreme/intermediate mass ratio systems, stellar-mass black hole binaries, Galactic compact binaries, and so on. TianQin will consist of three Earth orbiting satellites on nearly identical orbits with orbital radii of about 105 km. The satellites will form a normal triangle constellation whose plane is nearly perpendicular to the ecliptic plane. The TianQin project has been progressing smoothly following the "0123" technology roadmap. In step "0", the TianQin laser ranging station has been constructed and it has successfully ranged to all the five retro-reflectors on the Moon. In step "1", the drag-free control technology has been tested and demonstrated using the TianQin-1 satellite. In step "2", the inter-satellite laser interferometry technology will be tested using the pair of TianQin-2 satellites. The TianQin-2 mission has been officially approved and the satellites will be launched around 2026. In step "3", i.e., the TianQin-3 mission, three identical satellites will be launched around 2035 to form the space-based gravitational wave detector, TianQin, and to start gravitational wave detection in space. © 2025, CC BY.

关键词： Laser interferometry

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Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning

arXiv

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arXiv 2023年

作者： Wu, Qiong Li, Jiahan Dai, Pingyang Ye, Qixiang Cao, Liujuan Wu, Yongjian Ji, Rongrong Institute of Artificial Intelligence The Media Analytics and Computing Laboratory Department of Artificial Intelligence School of Informatics Xiamen University Xiamen361005 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221000 China The Media Analytics and Computing Laboratory Department of Artificial Intelligence School of Informatics Xiamen University Xiamen361005 China The Peng Cheng Laboratory Shenzhen518066 China The School of Electronics Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China The Media Analytics and Computing Lab Department of Computer Science School of Informatics Xiamen University Xiamen361005 China The Youtu Laboratory Tencent Shanghai200233 China The Fujian Engineering Research Center of Trusted Artificial Intelligence Analysis and Application Institute of Artificial Intelligence Xiamen University Xiamen361005 China

Unsupervised domain adaptation person re-identification (Re-ID) aims to identify pedestrian images within an unlabeled target domain with an auxiliary labeled source-domain dataset. Many existing works attempt to recover reliable identity information by considering multiple homogeneous networks. And take these generated labels to train the model in the target domain. However, these homogeneous networks identify people in approximate subspaces and equally exchange their knowledge with others or their mean net to improve their ability, inevitably limiting the scope of available knowledge and putting them into the same mistake. This paper proposes a Dual-level Asymmetric Mutual Learning method (DAML) to learn discriminative representations from a broader knowledge scope with diverse embedding spaces. Specifically, two heterogeneous networks mutually learn knowledge from asymmetric subspaces through the pseudo label generation in a hard distillation manner. The knowledge transfer between two networks is based on an asymmetric mutual learning manner. The teacher network learns to identify both the target and source domain while adapting to the target domain distribution based on the knowledge of the student. Meanwhile, the student network is trained on the target dataset and employs the ground-truth label through the knowledge of the teacher. Extensive experiments in Market-1501, CUHK-SYSU, and MSMT17 public datasets verified the superiority of DAML over state-of-the-arts. Copyright © 2023, The Authors. All rights reserved.

关键词： Distillation

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