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14th International Workshop of advanced Manufacturing and Automation, IWAMA 2024

作者： Zhang, Fusheng Du, Jiangbing Wu, Jian Chen, Xiangjun School of Smart Elevator Industry Changshu Institute of Technology Suzhou215500 China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China Zhejiang Academy of Special Equipment Science Hangzhou310020 China

ISBN: (纸本)9789819626243

The elevator brake is an important device to ensure the safety of the elevator, and is the basis to ensure the safe and smooth operation of the elevator. Its main function is to keep the car stationary when the elevator stops running, and to enable the running elevator to automatically stop the car in the case of power failure, its important position is like the brake device of the car, to ensure its reliable performance. The type test method is usually used to detect the performance of the elevator brake in our country. Due to the external influence of the equipment structure, the test parameters have one-sidedness and can not detect the performance of the elevator brake comprehensively and accurately. The traditional brake testing and testing is manual, and the choice of the distance, position and consumables of the brake lining mainly depends on the subjective experience of the operator, so it is difficult to achieve a unified standard in the maintenance and testing process. In order to solve the above technical problems, the symmetric difference algorithm of elevator brake action state detection is proposed to realize intelligent detection and improve the reliability and accuracy of detection. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Subjective testing

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Sensing-communication-Computation Integration for Federated Edge Learning with Controllable Model Dropout

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IEEE Internet of Things Journal 2025年

作者： Jiao, Xiang Zhu, Guangxu Jiang, Wei Chen, Li Luo, Wu Wen, Dingzhu State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China Shenzhen Research Institute of Big Data Shenzhen China The State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China The CAS Key Laboratory of Wireless Optical Communication University of Science and Technology of China Hefei China Network Intelligence Center School of Information Science and Technology ShanghaiTech University Shanghai China

FEderated Edge Learning (FEEL) is an advanced paradigm in edge artificial intelligence, enabling privacy-preserving collaborative model training through periodic communication between edge devices and a central server. FEEL involves three key processes: sensing, computation, and communication for data acquisition, processing, and exchange, respectively. Due to limited system resources, optimizing each process individually may lead to suboptimal learning performance. This challenge has sparked research into Integrated Sensing-Computation-communication (ISCC) design for enhanced FEEL. While previous work has optimized general learning parameters such as batch size and computing frequency, there is a lack of customized designs considering the neural network architecture as an optimizable variable in ISCC for FEEL. To close this gap, we introduce a novel design where each device generates a sub-model through controllable weight dropout, adding flexibility by directly manipulating the learning process and reducing computation and communication overhead. To guide ISCC resource allocation in this new setting, we present a comprehensive convergence analysis, revealing the tight coupling of sensing, computation, and communication across devices and their impact on FEEL convergence. Building on these theoretical insights, we formulate an ISCC problem aiming to maximize the FEEL convergence rate through joint optimization of variables such as batch size, sensing power, dropout rate, and communication power. This non-convex problem is decomposed into two sub-problems via alternating optimization: one controls batch size using a sorting algorithm, while the other focuses on ISCC device parameters, transformable into a convex problem solved by successive convex approximation. Extensive experiments using human motion recognition datasets demonstrate the superiority of the proposed design over baseline schemes. © 2014 IEEE.

关键词： Federated learning

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Secure encryption system based on quantum access network 4

Secure encryption system based on quantum access network

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4th International Computational Imaging Conference, CITA 2024

作者： Liu, Yuchao Wang, Tao Xu, Yuehan Zeng, Guihua State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai200240 China Shanghai Research Center for Quantum Sciences Shanghai201315 China Hefei National Laboratory CAS Center for Excellence in Quantum Information and Quantum Physics Hefei230026 China

ISBN: (纸本)9781510688834

Quantum secure communication technology, grounded in the principles of quantum mechanics, has revolutionized traditional cryptographic methods, which predominantly rely on mathematical algorithms and logical transformations. Quantum key distribution (QKD) facilitates the secure sharing of symmetric keys between legitimate parties, ensuring the integrity and confidentiality of information in communication channels. Among various QKD schemes, continuous variable quantum key distribution (CV-QKD) has emerged as a viable alternative to the more established discrete variable quantum key distribution (DV-QKD). CV-QKD boasts several advantages, including straightforward deployment, reduced operational costs, and stable signal quality, positioning it as a significant component of the quantum communication *** noise stream cipher (QNSC) represents a technique that employs redundant data streams to encrypt plaintext. Notably, QNSC shares structural similarities with the optical path used in quantum key distribution, allowing for compatibility with existing QKD infrastructure. Furthermore, the keys generated through quantum key distribution ensure absolute security, enabling them to substitute the data streams produced by pseudo-random sequences traditionally used in classical encryption schemes. This substitution enhances the overall security framework of the quantum noise stream encryption *** quantum access network (QAN) extends quantum key distribution capabilities from point-to-point connections to point-to-multipoint configurations, thereby becoming an essential component of contemporary network architectures. By interlinking multiple end users with a network backbone, quantum access networks can seamlessly integrate with quantum key distribution protocols. This integration offers a cost-effective and scalable solution for user access to the *** experimental verifications have demonstrated the viability of downstream access networks,

关键词： Quantum noise

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Joint sensing and communication on fiber system with integrated waveform designing 4

Joint sensing and communication on fiber system with integra...

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4th International Computational Imaging Conference, CITA 2024

作者： Ma, Mingxuan Bi, Meihua Zhang, Lu Hu, Miao School of Communication Engineering Hangzhou Dianzi University Xiasha Gaojiaoyuan 2nd Street Zhe Jiang province Hangzhou310018 China State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronic Engineering Shanghai Jiao Tong University 800 Dongchuan Rd Shanghai200240 China College of Information Science and Electronic Engineering Zhejiang University Zhe Jiang province Hangzhou310018 China

ISBN: (纸本)9781510688834

A novel communication-centric integrated sensing and communication waveform design method is proposed. The sensing mutual information is introduced as a metric to evaluate system sensing performance. By combining the established mathematical system model, the crosstalk between communication and sensing is theoretically minimized, while the mutual information carried by the sensing signal regarding the sensing target is theoretically maximized. The sensing signal spectrum distribution is designed based on the optimization results, ultimately forming the water-filling-based integrated waveform design method. This approach maximizes overall system performance, enabling a high-performance integrated sensing and communication system. Using the proposed waveform design method, the frequency-division ISAC-OF system simultaneously achieves 25-Gbit/s data transmission and meter-level localization of fiber fault points over a 20-km single-mode fiber link. Simulation experiments verify that the proposed integrated waveform design method achieves the combination of high-speed optical fiber communication with high-precision optical fiber sensing. © 2025 SPIE.

关键词： Single mode fibers

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Integrated Distributed Sensing and Quantum communication networks

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Research 2025年第1期2024卷 899-914页

作者： Yuehan Xu Tao Wang Peng Huang Guihua Zeng State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information ProcessingShanghai Jiao Tong UniversityShanghai 200240China Shanghai Research Center for Quantum Sciences Shanghai 201315China Hefei National Laboratory Hefei 230088China

The integration of sensing and communication can achieve ubiquitous sensing while enabling ubiquitous *** the gradually improving global communication,the integrated sensing and communication system based on optical fibers can accomplish various functionalities,such as urban structure imaging,seismic wave detection,and pipeline safety *** the development of quantum communication,quantum networks based on optical fiber are gradually being *** this paper,we propose an integrated sensing and quantum network(ISAQN)scheme,which can achieve secure key distribution among multiple nodes and distributed sensing under the standard quantum *** continuous variables quantum key distribution protocol and the round-trip multiband structure are adopted to achieve the multinode secure key ***,the spectrum phase monitoring protocol is proposed to realize distributed *** determines which node is vibrating by monitoring the frequency spectrum and restores the vibration waveform by monitoring the phase *** scheme is experimentally demonstrated by simulating the vibration in a star structure *** results indicate that this multiuser quantum network can achieve a secret key rate of approximately 0.7 Mbits/s for each user under 10-km standard fiber transmission,and its network capacity is *** terms of distributed sensing,it can achieve a vibration response bandwidth ranging from 1 Hz to 2 kHz,a strain resolution of 0.50 nε/Hz,and a spatial resolution of 0.20 m under shot-noise-limited *** proposed ISAQN scheme enables simultaneous quantum communication and distributed sensing in a multipoint network,laying a foundation for future large-scale quantum networks and high-precision sensing networks.

关键词： integrated sensing quantum networks ubiquitous sensing pipeline safety monitoringwith ubiquitous communicationwithin quantum communicationquantum networks

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Arbitrary Waveform Frequency Modulated Continuous Wave LiDAR system

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Pang, Anning Yan, Zhongji Zhang, Tianzhu Hai, Yalong Dang, Anhong Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China

With advantages of high-precision 3D imaging and simultaneous measurement of target distance and velocity, frequency modulated continuous wave (FMCW) LiDAR has great potential in the fields of autonomous driving, military and aerospace. However, frequency-modulated (FM) nonlinearity significantly deteriorates its ranging accuracy and has become a problem that cannot be neglected. This paper proposes an arbitrary waveform FMCW (AW-FMCW) system, in which the distance of target is extracted precisely irrespective of the FM waveform employed. In proposed AW-FMCW system, the correlation between the phase of coherent signal and the FM waveform of tunable laser is rigorously deduced and analyzed. The distance of target is extracted utilizing minimum mean square error (MMSE) estimation. The low-bandwidth short-distance (LBSD) approximation is proposed to simplify the process of the estimation and quadrature coherent detection is employed to acquire the phase signal. The performance in terms of the measured distance and the precision of AW-FMCW system is theorized in detail and validated by Monte-Carlo simulations and experiments. In the experiments, three different FM waveforms are utilized for ranging of targets at six different distances, and 0.279 mm ranging precision and 1.35×10-4 relative precision are realized at 2.06 m target detection. © 1963-2012 IEEE.

关键词： Frequency shift keying

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All-optical Inhibitory Dynamics by Backscattering with Unidirectional Injection-Locked Photonic Spiking Neuron

IEEE Photonics Journal

引用

IEEE Photonics Journal 2025年第3期17卷

作者： Zhou, Shengyao Ma, Bowen Zou, Weiwen Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center Department of Electronic Engineering Shanghai200240 China

Inhibitory dynamics plays an important role in the information processing of biological spiking neurons, where incoming stimuli weaken the activity level of neurons. Due to the lack of prohibitive physical effects in photonics, the realization of the photonic spiking neuron (PSN) with intrinsic inhibitory dynamics and the application of efficient inhibitory dynamics in the optical domain have been challenging. Herein, we propose a PSN with all-optical inhibitory dynamics, which is achieved by intrinsic backscattering from the unidirectional-emitted semi-conductor ring laser (SRL) to the master laser. The photonic spiking dynamics of the SRL operating in unidirectional mode were investigated, demonstrating the computational properties of the PSN as a leaky integrate-and-fire neuron. We prove that as the backscattering intensity increases, the number of spikes generated under the same input signal decreases. Under the influence of backscattering, the number of spikes fired increases with the input signal rate. In the speech signal classification task, the classification accuracy improves from 89% to 94% under the influence of inhibitory dynamics. This suggests that the presence of inhibitory dynamics helps filter out unwanted interference information. The results show the potential of backscattering-based inhibition dynamics for facilitating advanced neuromorphic information processing. © 2009-2012 IEEE.

关键词： Backscattering

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Synesthesia of Machines Based Multi-Modal Intelligent V2V Channel Model

arXiv

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arXiv 2025年

作者： Han, Zengrui Bai, Lu Huang, Ziwei Cheng, Xiang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Shandong University Jinan250101 China

This paper proposes a novel sixth-generation (6G) multi-modal intelligent vehicle-to-vehicle (V2V) channel model from light detection and ranging (LiDAR) point clouds based on Synesthesia of Machines (SoM). To explore the mapping relationship between physical environment and electromagnetic space, a new V2V high-fidelity mixed sensing-communication integration simulation dataset with different vehicular traffic densities (VTDs) is constructed. Based on the constructed dataset, a novel scatterer recognition (ScaR) algorithm utilizing neural network SegNet is developed to recognize scatterer spatial attributes from LiDAR point clouds via SoM. In the developed ScaR algorithm, the mapping relationship between LiDAR point clouds and scatterers is explored, where the distribution of scatterers is obtained in the form of grid maps. Furthermore, scatterers are distinguished into dynamic and static scatterers based on LiDAR point cloud features, where parameters, e.g., distance, angle, and number, related to scatterers are determined. Through ScaR, dynamic and static scatterers change with the variation of LiDAR point clouds over time, which precisely models channel non-stationarity and consistency under different VTDs. Some important channel statistical properties, such as time-frequency correlation function (TF-CF) and Doppler power spectral density (DPSD), are obtained. Simulation results match well with ray-tracing (RT)-based results, thus demonstrating the necessity of exploring the mapping relationship and the utility of the proposed model. Copyright © 2025, The Authors. All rights reserved.

关键词： Vehicle-to-grid

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Directivity-Aware Degrees of Freedom Analysis for Extremely Large-Scale MIMO

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IEEE Transactions on Vehicular Technology 2025年

作者： Yue, Shaohua Liu, Liang Di, Boya The State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China The Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hong Kong

Extremely large-scale multiple-input multiple-output (XL-MIMO) communications, enabled by numerous antenna elements integrated into large antenna surfaces, can provide increased effective degree of freedom (EDoF) to achieve high diversity gain. However, it remains an open problem that how the EDoF is influenced by the directional radiation pattern of antenna elements. In this work, empowered by the wavenumber-domain channel representation, we analyze the EDoF in a general case where the directivity of antennas, determined by the antenna structure and element spacing, is considered. Specifically, we first reveal the uneven distribution of directivity-aware wavenumber-domain coupling coefficients, i.e., channel gain towards different directions, in the isotropic Rayleigh fading channel. EDoF is then calculated based on such distribution of coupling coefficients. A numerical method is also provided to obtain coupling coefficients via full-wave EM simulations. Due to the influence of antenna directivity, how EDoF and ergodic channel capacity vary with the element spacing are explored via simulations for different antenna types. © 1967-2012 IEEE.

关键词： Degrees of freedom (mechanics)

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Analysis of Spiral Scanning Amplitude Modulation Methods for Two-photon Endomicroscopy 10

Analysis of Spiral Scanning Amplitude Modulation Methods for...

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10th Symposium on Novel Optoelectronic Detection Technology and Applications

作者： Cui, Haodong Wang, Conghao Liu, Huilan Zhang, Xiulei Hu, Yanhui Fu, Qiang Wu, Runlong Wang, Aimin Feng, Lishuang School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100191 China Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Transcend Vivoscope Biotech Co. Ltd. Beijing100049 China Beijing Key Laboratory for Optoelectronics Measurement Technology Beijing Information Science and Technology University Beijing100192 China State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronics Peking University Beijing100871 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

Two-photon endomicroscopy is a high-resolution label-free imaging technique for biological tissues. This paper analyzes sinusoidal and triangular amplitude modulation methods for spiral scanning two-photon endomicroscopy. In the theoretical modeling section, the mathematical model of PZT fiber scanner is established, and the distortion of fiber scanning trajectory caused by two amplitude modulated sine wave signals is simulated and evaluated. In the experimental verification section, a test platform is constructed to measure the scanning trajectory distortion driven by these amplitude modulated sine wave signals. Finaly, spiral scanning two-photon endomicroscopic imaging of in-vivo GFP mice brain tissues using sinusoidal amplitude modulated signals are demonstrated. © 2025 SPIE.

关键词： Amplitude modulation

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