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Light-modulated graphene-based φ_(0) Josephson junction and -φ_(0) to φ_(0) transition

Chinese Physics B 2024年第2期33卷 476-481页

作者：程任翔于苗汪洪曹德亮李兴鳌戚凤华周兴飞 New Energy Technology Engineering Laboratory of Jiangsu Province School of ScienceNanjing University of Posts and TelecommunicationsNanjing 210023China School of Electronic and Information Engineering Jinling Institute of TechnologyNanjing 211169China School of Electronic Engineering Nanjing Xiaozhuang UniversityNanjing 211171China

We investigate the chiral edge states-induced Josephson current–phase relation in a graphene-based Josephson junction modulated by the off-resonant circularly polarized light and the staggered sublattice *** solving the Bogoliubov–de Gennes equation,a φ_(0) Josephson junction is induced in the coaction of the off-resonant circularly polarized light and the staggered sublattice potential,which arises from the fact that the center of-mass wave vector of Cooper pair becomes finite and the opposite center of-mass wave vector to compensate is lacking in the nonsuperconducting ***,when the direction of polarization of light is changed,-φ_(0) to φ_(0) transition generates,which generalizes the concept of traditional 0–π*** findings provide a purely optical way to manipulate a phase-controllable Josephson device and guidelines for future experiments to confirm the presence of graphene-based φ_(0)Josephson junction.

关键词： graphene circularly polarized light staggered sublattice potential φ_(0)Josephson junction

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A new method for fast spectral demodulation of wide-measurement range optical fiber torsion sensor

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IEEE Sensors Journal 2025年第11期25卷 19258-19267页

作者： Cao, Jiaqi Guo, Yuying Gao, Wei Wang, Xin Lou, Shuqin Sheng, Xinzhi Beijing Jiaotong University School of Electronic and Information Engineering Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing100044 China Beijing Jiaotong University School of Science Beijing100044 China

We present a new method using the combination of the Fast Fourier transform (FFT)-support vector regression (SVR) algorithm for fast spectral demodulation of an optical fiber torsion sensor based on Sagnac interferometer. Experimental results demonstrate that with the aid of the FFT-SVR algorithm, the full torsion angle range from -360° to 360° can be predicted with a mean absolute error of 3.05° and determination coefficient of 0.9995. More importantly, compared with the SVR algorithm-only demodulation, the FFT-SVR algorithm can efficiently decrease the number of features from 2001 to 25 and thus the running time can be decreased from 0.005 s to 0.002 s, which makes the running time a 60% reduction. Additionally, the spectrum scanning time can be decreased from 1.6 s to 1 s, thereby resulting in a 37.5% decrease in the spectrum scanning time. Compared with other FFT-based machine learning methods, the FFT-SVR algorithm has high measurement accuracy and short running time, which greatly improves the measuring speed of optical fiber torsion and has great potential for application in many fields, such as the attitude sensing, shape measurement and automatic control of robotic manipulators. © 2025 IEEE.

关键词： Optical fibers

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EFFECTS OF REFRACTIVE INDEX AND ASPECT RATIO ON THE PARTICLE IMAGES IN A LEVITATED DROPLET

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Multiphase science and technology 2024年第1期36卷 13-26页

作者： Gatete, Eugene Kaneko, Akiko Shen, Biao University of Tsukuba Systems and Information Engineering Graduate School of Science and Technology Degree Program of Engineering Mechanics and Energy 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan University of Tsukuba Faculty of Engineering of Information Engineering and Systems 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

A technique using droplets suspended by ultrasound has attracted attention as one of the containerless processing methods. While this can avoid contamination from the container, it is known that ultrasonic levitation creates flow fields inside and outside the droplet. For more precise droplet control, it is desirable to elucidate the internal flow of the droplet, and measurements of the internal flow have been performed using the particle image velocimetry (PIV). The aim of this study is to elucidate the internal flow field behavior by solving optical problems and improving the accuracy of velocity field measurements in levitated droplets. The fluid that is to be investigated is scattered with small tracer particles and illuminated by a laser to capture the flow on a created laser sheet. The curvature distortion is successfully visualized using the PIV approach toward distortion correction using calibration methods. The curvature distortion illustration was performed based on the refractive index and aspect ratio of the simulated droplet in acrylic materials. The fluid flow, affected by droplet curvature and refractive index, has been visualized for both levitated and simulated droplets. The experimental results showed that the droplet curvature can be distorted in two types such as radial and tangential distortions and increase as the refractive index and aspect ratio increases. © 2024 by Begell House, Inc.

关键词： Refractive index

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Secret key rate of continuous-variable quantum key distribution with finite codeword length

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science China(information sciences) 2023年第8期66卷 150-151页

作者： Yan FENG Runhe QIU Kun ZHANG Xue-Qin JIANG Meixiang ZHANG Peng HUANG Guihua ZENG School of Information Science and Technology Donghua University School of Electronics and Information Soochow University School of Information Engineering Yangzhou University State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information Processing (QSIP) Shanghai Jiao Tong University

In recent years, continuous-variable quantum key distribution(CV-QKD) has been proposed as a promising alternative to the most commonly implemented discrete-variable QKD [1]. A typical CV-QKD system includes mainly tw...

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Adaptive dynamic surface control for quadrotor-slung load transportation system with uncertainties

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science China(Technological sciences) 2023年第10期66卷 2917-2929页

作者： DING Feng HUANG Jian SUN Chong AI Yong XU WenXia YANG ChenGuang School of Computer Science South-Central Minzu UniversityWuhan 430074China Key Laboratory of Ministryof EducationforImage Processing and Intelligent ControlHubei Key Laboratoryof Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Computer Science and Engineering Wuhan Institute of TechnologyWuhan 430205China Key Laboratory of Ministry of Education for Autonomous Systems and Networked Control Guangdong Engineering Technology Research Center of Control of Intelligent SystemsCollege of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Quadrotors play a significant role in our lives and are transforming our *** cable-suspended loads is an unavoidable quadrotor application trend and a hot research topic in the control ***,the load swing and unpredictability pose significant challenges to the quadrotor's *** this paper,an anti-swing controller with an inner-outer control strategy for the quadrotor-slung load transportation system is *** facilitate the controller design,the outer position dynamics are restructured in the form of ***,a virtual controller is created to force the underactuated states to the dynamic surface to ensure the position subsystem's *** improve robustness,an adaptive law is used to eliminate the effects of uncertain cable ***,a dynamic surface controller for the inner attitude subsystem is presented to drive the actual force to the virtual *** is demonstrated that the control strategy can stabilize the quadrotor despite mass and cable length *** results are provided to demonstrate the efficacy and durability of the proposed method.

关键词： quadrotor-slung load transportation system dynamic surface control adaptive law cascade system model uncertainties

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Multi-task learning andjoint refinement between camera localization and object detection

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Computational Visual Media 2024年第5期10卷 993-1011页

作者： Junyi Wang Yue Qi State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Peng Cheng Laboratory Shenzhen 518052China Qingdao Research Institute of Beihang University Qingdao 266104China School of Computer Science and Technology Shandong UniversityQingdaoChina

Visual localization and object detection both play important roles in various *** many indoor application scenarios where some detected objects have fixed positions,the two techniques work closely ***,few researchers consider these two tasks simultaneously,because of a lack of datasets and the little attention paid to such *** this paper,we explore multi-task network design and joint refinement of detection and *** address the dataset problem,we construct a medium indoor scene of an aviation exhibition hall through a semi-automatic *** dataset provides localization and detection information,and is publicly available at https://***/drive/folders/1U28zk0N4_I0db zkqyIAK1A15k9oUKOjI?usp=sharing for benchmarking localization and object detection *** this dataset,we have designed a multi-task network,JLDNet,based on YOLO v3,that outputs a target point cloud and object bounding *** dynamic environments,the detection branch also promotes the perception of *** includes image feature learning,point feature learning,feature fusion,detection construction,and point cloud ***,object-level bundle adjustment is used to further improve localization and detection *** test JLDNet and compare it to other methods,we have conducted experiments on 7 static scenes,our constructed dataset,and the dynamic TUM RGB-D and Bonn *** results show state-of-the-art accuracy for both tasks,and the benefit of jointly working on both tasks is demonstrated.

关键词： visual localization object detection joint optimization multi-task learning

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Dynamic and Heterogeneous Identity-Based Cooperative Co-Evolution for Distributed Lot-Streaming Flowshop Scheduling Problem

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Complex System Modeling and Simulation 2025年第1期5卷 86-106页

作者： Juan Wang Guanghui Zhang Xiaoling Li Yanxiang Feng School of Information Science and Technology Hebei Agricultural UniversityBaoding 071001China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Electronics and Control Engineering Chang’an UniversityXi’an 710064China School of Automation Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China

In this research,a novel dynamic and heterogeneous identity based cooperative co-evolutionary algorithm(DHICCA)is proposed for addressing the distributed lot-streaming flowshop scheduling problem(DLSFSP)with the objective to minimize the makespan.A two-layer-vector representation is devised to bridge the solution space of DLSFSP and the search space of *** the evolution of DHICCA,population individuals are endowed with heterogeneous identities according to their quality,including superior individuals,ordinary individuals,and inferior individuals,which serve local exploitation,global exploration,and diversified restart,*** individuals with different identities require different evolutionary mechanisms to fully unleash their respective potentials,identity-specific evolutionary operators are devised to evolve them in a cooperative co-evolutionary *** is important to use limited population resources to solve complex optimization ***,exploitation is carried out on superior individuals by devising three exploitative operators with different intensities based on techniques of variable neighborhood,destruction-construction,and gene *** is executed on ordinary individuals by a newly constructed discrete Jaya algorithm and a probability crossover *** addition,restart is performed on inferior individuals to introduce new evolutionary individuals to the *** the cooperative co-evolution,all individuals with different identities are merged as a population again,and their identities are dynamically adjusted by new *** influence of parameters on the algorithm is investigated based on design-of-experiment and comprehensive computational experiments are used to evaluate the performance of all *** results validate the effectiveness of special designs and show that DHICCA performs more efficient than the existing state-of-the-art algorithms in solving the DLSFSP.

关键词： distributed flowshop scheduling lot-streaming scheduling identity division and merge heterogeneous evolution cooperative co-evolution

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Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks

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science China(information sciences) 2024年第11期67卷 373-374页

作者： Xiumei DENG Jun LI Long SHI Kang WEI Ming DING Yumeng SHAO Wen CHEN Shi JIN Pillar of Information Systems Technology and Design Singapore University of Technology and Design National Mobile Communications Research Laboratory Southeast University School of Electronic and Optical Engineering Nanjing University of Science and Technology Department of Computing Hong Kong Polytechnic University Data61 CSIRO Department of Electronics Engineering Shanghai Jiao Tong University

The integration of artificial intelligence(AI) and digital twin(DT) technology has revolutionized the industrial Internet of Things(IIoT), enabling advanced automation and intelligent manufacturing [1]. Through sophisticated interactions between physical entities and their virtual counterparts,AI-driven DTs facilitate performance monitoring, analysis,simulation, and optimization of physical assets, enabling predictive maintenance and informed decision-making [2].

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Steady State Behavior of the Free Recall Dynamics of Working Memory

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Journal of systems science & Complexity 2024年第6期37卷 2424-2450页

作者： LI Tianhao LIU Zhixin LIU Lizheng HU Xiaoming Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesSchool of Mathematical SciencesUniversity of Chinese Academy of SciencesBeijing 100190China Academy for Engineering and Technology Fudan UniversityShanghai 200433China Optimization and Systems Theory KTH Royal Institute of TechnologyStockholm 10044Sweden

This paper studies a dynamical system that models the free recall dynamics of working *** model is an attractor neural network with n modules,named hypercolumns,and each module consists of m *** mild conditions on the connection weights between minicolumns,the authors investigate the long-term evolution behavior of the model,namely the existence and stability of equilibria and limit *** authors also give a critical value in which Hopf bifurcation ***,the authors give a sufficient condition under which this model has a globally asymptotically stable equilibrium consisting of synchronized minicolumn states in each hypercolumn,which implies that in this case recalling is *** simulations are provided to illustrate the proposed theoretical ***,a numerical example the authors give suggests that patterns can be stored in not only equilibria and limit cycles,but also strange attractors(or chaos).

关键词： Asymptotic stability bifurcation free recall strange attractor working memory

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Edge-aware Feature Aggregation Network for Polyp Segmentation

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Machine Intelligence Research 2025年第1期22卷 101-116页

作者： Tao Zhou Yizhe Zhang Geng Chen Yi Zhou Ye Wu Deng-Ping Fan PCA Lab Key Laboratory of Intelligent Perception and Systems for High-dimensional Information of Ministry of EducationSchool of Computer Science and EngineeringNanjing University of Science and TechnologyNanjing210094China School of Computer Science and Engineering Northwestern Polytechnical University(NPU)Xi’an710129China School of Computer Science and Engineering Southeast UniversityNanjing211189China Computer Vision Lab ETH ZürichZürich8092Switzerland

Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer(CRC)in clinical ***,due to scale variation and blurry polyp boundaries,it is still a challenging task to achieve satisfactory segmentation performance with different scales and *** this study,we present a novel edge-aware feature aggregation network(EFA-Net)for polyp segmentation,which can fully make use of cross-level and multi-scale features to enhance the performance of polyp ***,we first present an edge-aware guidance module(EGM)to combine the low-level features with the high-level features to learn an edge-enhanced feature,which is incorporated into each decoder unit using a layer-by-layer ***,a scale-aware convolution module(SCM)is proposed to learn scale-aware features by using dilated convolutions with different ratios,in order to effectively deal with scale ***,a cross-level fusion module(CFM)is proposed to effectively integrate the cross-level features,which can exploit the local and global contextual ***,the outputs of CFMs are adaptively weighted by using the learned edge-aware feature,which are then used to produce multiple side-out segmentation *** results on five widely adopted colonoscopy datasets show that our EFA-Net outperforms state-of-the-art polyp segmentation methods in terms of generalization and *** implementation code and segmentation maps will be publicly at https://***/taozh2017/EFANet.

关键词： Colorectal cancer polyp segmentation edge-aware guidance module scale-aware convolution module cross-level fusion module

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