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CLEO: Applications and technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Du, Haoze Chen, Shuyan He, Huan Hua, Xuchen Liu, Zhuyixiao Zhao, Zhiyong Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

We propose a BOCDA curvature sensor based on polarization-maintaining 1+8 multicore fiber. Thanks to the unique fiber geometry, excellent fiber self-twisting resistance is obtained, which ensures better curvature meas... 详细信息

ISBN: (纸本)9781957171395

关键词： Polarization-maintaining fiber

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Scalable parallel ultrafast optical random bit generation based on a single chaotic microcomb

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Light(science & Applications) 2024年第4期13卷 637-644页

作者： Pu Li Qizhi Li Wenye Tang Weiqiang Wang Wenfu Zhang Brent ELittle Sai Tek Chu KAlan Shore Yuwen Qin Yuncai Wang Institute of Advanced Photonics Technology School of Information EngineeringGuangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Photonic Technology for Integrated Sensing and Communication Ministry of Education of ChinaGuangdong University of TechnologyGuangzhou 51006China. Guangdong Provincial Key Laboratory of Information Photonics Technology Guangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Advanced Transducers andIntelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China. State Key Laboratory of Transient Optics and Photonics Xi’an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi’an 710119China. Department of Physics and Materials Science City University of Hong KongHong KongChina. School of Electronic Engineering Bangor UniversityBangorWales LL571UTUK

Random bit generators are critical for information security,cryptography,stochastic modeling,and *** and scalability are key challenges faced by current physical random bit ***,we propose a massively parallel scheme for ultrafast random bit generation towards rates of order 100 terabit per second based on a single micro-ring resonator.A modulation-instability-driven chaotic comb in a micro-ring resonator enables the simultaneous generation of hundreds of independent and unbiased random bit streams.A proof-of-concept experiment demonstrates that using our method,random bit streams beyond 2 terabit per second can be successfully generated with only 7 comb *** bit rate can be easily enhanced by further increasing the number of comb lines *** approach provides a chip-scale solution to random bit generation for secure communication and high-performance computation,and offers superhigh speed and large scalability.

关键词： resonator random chaotic

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Accuracy Enhancement in Sweep-Free BOTDA Enabled by Simultaneous Full-Field Brillouin Spectrums Measurement

Accuracy Enhancement in Sweep-Free BOTDA Enabled by Simultan...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： He, Huan Zhao, Zhiyong Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

Utilizing frequency-agility double-sideband digital optical frequency comb, a fast BOTDA based on full-field Brillouin spectrums is demonstrated with a record 4-m spatial resolution and less than 1.4-MHz frequency unc... 详细信息

ISBN: (纸本)9781957171395

关键词： Optical depth

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Coexistence of Distributed Sensing and Ultra-Simple Coherent RoF Based Front-Haul for Radio Access Network

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Journal of Lightwave technology 2025年第12期43卷 5669-5675页

作者： Liu, Maoqi Wang, Jingchuan Liu, Chen Yu, Changyuan Lu, Chao Huazhong University of Science and Technology National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Wuhan430074 China The Hong Kong Polytechnic University Photonics Research Institute Department of Electrical and Electronic Engineering Hong Kong Hong Kong

The radio access network requires high-speed transmission and multifunctionality to support the increasing demand for advanced communication services. Radio-over-fiber (RoF) technology fulfills these requirements by enabling the delivery of millimeter-wave (MMW) band wireless signals via optical fiber front-haul. This paper presents an ultra-simple RoF system that achieves the coexistence of distributed sensing and telecommunication. A commercially available coherent modulator achieves signal modulation and remote up-conversion by the beat between the residual carrier and the modulated radio signal. The linear-frequency modulated carrier enables distributed sensing while simultaneously serving as the beat tone of RoF communication, showcasing the potential for integrated sensing and communication (ISAC) applications in next-generation radio access networks. We demonstrate the sensing and transmission performance over a 10-km fiber link and a 1-m wireless MMW channel. The system achieves a distributed sensing detection sensitivity of 28 pΕ/√Hz and supports 1.6 GBaud 16 QAM radio transmission in the Ka-band of 28 GHz. © 1983-2012 IEEE.

关键词： Radio access networks

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DTAME: A Interpretable and Efficient Approach for ABAC Policy Mining and Evaluation Using Decision Trees 23

DTAME: A Interpretable and Efficient Approach for ABAC Polic...

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23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2024

作者： Lan, Zejun Guan, Jianfeng Gao, Xianming Feng, Tao Liu, Kexian Chen, Jianbang Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing 100876 China Pla Academy of Military Science National Key Laboratory of Science and Technology on Information System Security Institute of System Engineering Beijing China

Attribute-Based Access Control (ABAC) has been chosen to replace the traditional access control model due to its dynamics, flexibility and scalability recently. However, during the migration and deployment process of ABAC policies, the key issue is how to mine accurate access control policies and quickly evaluate the policies when an access request arrives. Previous approaches typically addressed these two aspects separately, and the emergence of integrated solutions has provided new insights for addressing this issue. However, despite the high accuracy of the integrated solution in policy evaluation, it still falls short in terms of interpretability and performance. Therefore, this paper proposes a decision tree based ABAC policy mining and policy evaluation (DTAME) scheme, which employs different policy mining and evaluation algorithms based on various datasets. For access control lists, we utilize decision tree algorithms to mine ABAC policies and conduct policy evaluations based on policy trees. For access control logs, we adopt a decision tree to achieve performance approximating that of XGBoost. Experimental results show that the scheme offers superior interpretability and policy evaluation performance at the expense of a certain degree of accuracy. © 2024 IEEE.

关键词： ABAC Computer science and technology Decision Tree Policy Evaluation Policy Mining

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Enhancing the Performance of BOCDA Sensor using Deconvolution Algorithm

Enhancing the Performance of BOCDA Sensor using Deconvolutio...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Chen, Shuyan Zhao, Zhiyong He, Huan Wei, Weilun Zou, Xuan Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

We have achieved a fourfold-improved spatial resolution and a much wider dynamic range without extra system hardware complexity by using deconvolution algorithm to post-process the data of traditional BOCDA sensor. &#... 详细信息

ISBN: (纸本)9781957171395

关键词： Deconvolution

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A sEMG-based Muscle-Compensation-Error Elimination Module for the Home-Based Bilateral Rehabilitation system

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IEEE Robotics and Automation Letters 2025年第7期10卷 6696-6703页

作者： Wang, Hanze Guo, Shuxiang Li, He Ding, Mingchao Southern University of Science and Technology Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China Beijing Institute of Technology Aerospace Center Hospital School of Life Science The Key Laboratory of Convergence Medical Engineering System and Healthcare Technology Ministry of Industry and Information Technology Beijing100081 China Beijing Institute of Technology Department of Peripheral Vascular Intervention Aerospace Center Hospital School of Life Science Beijing100081 China

Home-based bilateral training using exoskeletons is considered an effective rehabilitation method to restore the normal motion function of stroke patients' limbs. However, due to the imbalance of limb muscle strength, muscle compensation of the functional upper limb will cause surface electromyography (sEMG) signal fluctuations. The signal fluctuations will lead to prediction errors, thereby affecting the effect of bilateral rehabilitation. To eliminate the prediction error caused by muscle compensation, a novel rehabilitation module for a home-based bilateral rehabilitation robotic system is proposed in this letter. This sEMG-driven rehabilitation module, which incorporates the channel splitting and transferable frequency domain, first identifies the type of muscle compensation mixed in continuous movement and then eliminates the error caused by muscle compensation. Online experiments were conducted to evaluate the system in tracking accuracy and muscle-compensation-error elimination, which showed the proposed rehabilitation system with rehabilitation module achieved fast adaption to the patient's compensatory movement as well as improving the effect of robot-assisted bilateral training. © 2025 IEEE.

关键词： Human rehabilitation equipment

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Axial coordinated iron-nitrogen-carbon as efficient electrocatalysts for hydrogen evolution and oxygen redox reactions

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Chinese Chemical Letters 2025年第1期36卷 637-642页

作者： Yanan Zhou Li Sheng Lanlan Chen Wenhua Zhang Jinlong Yang School of Material Science and Chemical Engineering Institute of Mass SpectrometryNingbo UniversityNingbo 315211China Department of Chemical Physics University of Science and Technology of ChinaHefei 230026China Department of Material Science and Engineering University of Science and Technology of ChinaHefei 230026China Hefei National Laboratory for Physical Sciences at the Microscale CAS Key Laboratory of Materials for Energy Conversion and Synergetic Innovation Centre of Quantum Information and Quantum PhysicsUniversity of Science and Technology of ChinaHefei 230026China

Designing highly active electrocatalysts for the hydrogen evolution reaction(HER)and oxygen evolution and reduction reactions(OER and ORR)is pivotal to renewable energy ***,based on density functional theory(DFT)calculations,we systematically investigate the catalytic activity of iron-nitrogen-carbon based covalent organic frameworks(COF)monolayers with axially coordinated ligands(denotes as Fe N_(4)-X@COF,X refers to axial ligand,X=-SCN,-I,-H,-SH,-NO_(2),-Br,-ClO,-Cl,-HCO_(3),-NO,-ClO_(2),-OH,-CN and-F).The calculated results demonstrate that all the catalysts possess good thermodynamic and electrochemical *** different ligands axially ligated to the Fe active center could induce changes in the charge of the Fe center,which further regulates the interaction strength between intermediates and catalysts that governs the catalytic ***,FeN_(4)-SH@COF and Fe N_(4)-OH@COF are efficient bifunctional catalysts for HER and OER,FeN_(4)-OH@COF and FeN_(4)-I@COF are promising bifunctional catalysts for OER and *** findings not only reveal promising bifunctional HER/OER and OER/ORR catalysts but also provide theoretical guidance for designing optimum ironnitrogen-carbon based catalysts.

关键词： Axial coordinated ligands DFT calculation Hydrogen evolution reaction Oxygen evolution reaction Oxygen reduction reaction

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Vector Bending Sensor Based on Tapered Few-Mode Multi-Core Fiber Enabled by Power Monitoring

Vector Bending Sensor Based on Tapered Few-Mode Multi-Core F...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Liu, Zhuyixiao Jiang, Zijian Wu, Qixuan Zhang, Fengming Du, Haoze Yao, Yucheng Zhao, Luming Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

We proposed a vector bending sensor based on tapered few-mode multi-core fiber. The sensor could accomplish the recognition of direction and curvature through only power monitoring. The theoretical curvature sensitivity is higher than 0.14/m-1 within the interval of 2.5 m-1 to 10 m-1 © Optica Publishing Group 2024

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On the Cross-Graph Transferability of Dynamic Link Prediction 25

On the Cross-Graph Transferability of Dynamic Link Predictio...

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34th ACM Web Conference, WWW 2025

作者： Pan, Zhiqiang Gao, Chen Cai, Fei Chen, Wanyu Zhang, Xin Chen, Honghui Li, Yong National Key Laboratory of Information Systems Engineering National University of Defense Technology Changsha China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China College of Electronic Countermeasures National University of Defense Technology Hefei China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9798400712746

Dynamic link prediction aims to predict the future links on dynamic graphs, which can be applied to wide scenarios such as recommender systems and social networks on the World Wide Web. Existing methods mainly (1) focus on the in-graph learning, which cannot generalize to graphs unobserved during training;or (2) achieve the cross-graph predictions in a many-many mechanism by training on multiple graphs across various domains, which results in a large computational cost. In this paper, we propose a cross-graph dynamic link predictor named CrossDyG, which achieves the cross-graph transferability in a one-many mechanism which trains on one single source graph and test on different target graphs. Specifically, we provide causal and empirical analysis on the structural bias caused by the graph-specific structural characteristics in cross-graph predictions. Then, we conduct deconfounded training to learn the universal network evolution pattern from one single source graph during training. Finally, we apply the causal intervention to leverage the graph-specific structural characteristics of each target graph during inference. Extensive experiments conducted on three benchmark data of dynamic graphs demonstrate that CrossDyG outperforms the state-of-the-art baselines by up to 11.01% and 17.02% in terms of AP and AUC, respectively. In addition, the improvements are especially significant when training on small source graphs. © 2025 Copyright held by the owner/author(s).

关键词： Social networking (online)

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