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15th IEEE International Conference on advanced Infocomm Technology, ICAIT 2023

作者： Liang, Junpeng Qiao, Gang Wei, Jinlong Li, Juhao Yang, Yu Xu, Zhaopeng Liu, Lulu Wang, Shangcheng Wu, Qi Hu, Weisheng Peng Cheng Laboratory Dept. of Circuits and System Shenzhen China Peking University State Key Lab of Advanced Optical Communication Systems and Network Beijing China

ISBN: (纸本)9798350314120

Micro-bending with random curvature is usually used to model the mode coupling in few mode fiber (FMF). However, previous models overlooked the accompanied mode dependent loss (MDL) and neglected the order constraints of coupling loss between different modes. In this work, we calculate out the accompanied loss of each mode by using the finite element method. The results show that MDL always increases with bending curvature due to the high-order modes have larger loss than low-order modes. This observation has been confirmed by experiments. Finally, we compare the multi-segment FMFs model with and without considering the accompanied MDL, the results show that micro-bending would degrade the system performance especially when considering the accompanied MDL. © 2023 IEEE.

关键词： MEMS

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Data quantity governance for machine learning in materials science

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National Science Review 2023年第7期10卷 234-250页

作者： Yue Liu Zhengwei Yang Xinxin Zou Shuchang Ma Dahui Liu Maxim Avdeev Siqi Shi School of Computer Engineering and Science Shanghai University Shanghai Engineering Research Center of Intelligent Computing System Australian Nuclear Science and Technology Organisation School of Chemistry The University of Sydney State Key Laboratory of Advanced Special Steel School of Materials Science and Engineering Shanghai University Materials Genome Institute Shanghai University

Data-driven machine learning(ML) is widely employed in the analysis of materials structure-activity relationships,performance optimization and materials design due to its superior ability to reveal latent data patterns and make accurate ***,because of the laborious process of materials data acquisition,ML models encounter the issue of the mismatch between a high dimension of feature space and a small sample size(for traditional ML models) or the mismatch between model parameters and sample size(for deep-learning models),usually resulting in terrible ***,we review the efforts for tackling this issue via feature reduction,sample augmentation and specific ML approaches,and show that the balance between the number of samples and features or model parameters should attract great attention during data quantity *** this,we propose a synergistic data quantity governance flow with the incorporation of materials domain *** summarizing the approaches to incorporating materials domain knowledge into the process of ML,we provide examples of incorporating domain knowledge into governance schemes to demonstrate the advantages of the approach and *** work paves the way for obtaining the required high-quality data to accelerate materials design and discovery based on ML.

关键词： machine learning data governance data quantity materials science

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Data-Efficient Synchronous Machine Winding Short Circuit Faults Diagnosis Based on Frequency Response Analysis and Active Learning

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IEEE Sensors Journal 2025年第11期25卷 19804-19815页

作者： Chen, Yu Zhao, Zhongyong Liu, Jiangnan Wang, Wei Yao, Chenguo Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Wuhan430074 China Southwest University College of Engineering and Technology Chongqing400716 China Yibin Academy of Southwest University Sichuang64400 China Guangzhou Power Supply Bureau of Guangdong Power Grid Co. Ltd Guangzhou510620 China Chongqing University State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing400044 China

Winding short-circuit (SC) faults are a prevalent issue in synchronous machines, and the accurate and timely identification of these faults is critical for maintaining power system stability. Current methods for inspecting synchronous machine windings often rely on periodic inspections based on human expertise. Numerous studies have explored the application of deep learning (DL) models for detecting synchronous machine winding SC faults. However, these models often exhibit excessive complexity and overlook physical overhead, leading to inefficient utilization of computational power and data resources. To address these limitations, this study proposes a dual-channel deep learning (DL) model integrated with the active learning (AL) query strategy. In this study, winding SC faults are manually simulated on a 5 kVA synchronous machine, and corresponding frequency response analysis (FRA) data are recorded. Subsequently, the proposed method is validated on the test set and benchmarked against previous studies. Experimental results demonstrate that the proposed method significantly reduces the data annotation effort and accelerates model training to the order of seconds (under 5 seconds) while maintaining satisfactory accuracy (≥ 95%). Comparative experimental results further indicate that the proposed model, requiring only 1/20th of the labeled training samples used in previous studies, achieves a substantial reduction of approximately 99.8% in both model parameters and training time. © 2001-2012 IEEE.

关键词： Synchronous machinery

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Design and analysis of truss deployable antenna mechanism based on a novel symmetric hexagonal profile division method

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Chinese Journal of Aeronautics 2021年第8期34卷 87-100页

作者： Jinwei GUO Yongsheng ZHAO Yundou XU Yongjie LI Jiantao YAO Parallel Robot and Mechatronic System Laboratory of Hebei Province Yanshan UniversityQinhuangdao 066004China Key Laboratory of Advanced Forging&Stamping Technology and Science of Ministry of National Education Yanshan UniversityQinhuangdao 066004China

As the deployment,supporting,and stability mechanisms of satellite antennas,space-deployable mechanisms play a key role in the field of *** order to design truss deployable antenna supporting mechanisms with large folding rate,high accuracy,easy deployment and strong stability,aiming at the geometric division of the parabolic reflector,a novel method based on symmetric hexagonal division and its corresponding modular truss deployable antenna mechanism is proposed,and the original method based on asymmetric triangular division and its corresponding mechanisms are presented for comparative ***,the screw theory is employed to analyze the mobility of different ***,the improved three-dimensional mesh method is used to divide the reflector surface of a large parabolic antenna designed by the two different methods,and the profile accuracy and the type of links are taken as the evaluation indexes to quantitatively analyze the division ***,a three-dimensional model of the modular deployable mechanism based on the symmetric hexagonal design is developed,and the deployable mechanisms with different configurations based on the two design methods are compared and analyzed from the mechanical *** research results provide a good theoretical reference for the design of deployable truss antenna mechanisms and their application in the aerospace field.

关键词： Mobility Modular mechanism Profile division Screw theory Truss deployable antenna

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Analysis of a Five-Degree-of-Freedom Hybrid robot RPR/RP + RR + P 23rd

Analysis of a Five-Degree-of-Freedom Hybrid Robot RPR/RP + R...

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23rd IFToMM China International Conference on Mechanism and Machine Science and Engineering, IFToMM CCMMS 2022

作者： Ma, Xuejian Xu, Yundou Wang, Yu Yang, Fan Zhao, Yongsheng Yao, Jiantao Zhou, Yulin Laboratory of Parallel Robot and Mechatronic System of Hebei Province Yanshan University Qinhuangdao066004 China Key Laboratory of Advanced Forging and Stamping Technology and Science Yanshan University Qinhuangdao066004 China School of Mechanical Engineering Yanshan University Qinhuangdao066004 China

ISBN: (纸本)9789811993978

This work proposes a hybrid machining robot RPR/RP + RR + P based on a planar parallel mechanism. Based on the screw theory, the characteristics of the degree of freedom of the hybrid robot are analyzed, and then the inverse and forward kinematics are solved by geometric methods. And size optimization is carried out by taking the workspace and driving forces as the objects. Then the working space of the hybrid robot is calculated by the Monte Carlo method. Finally, the three-dimensional model of the mechanism is established, and through ADAMS simulation, the accuracy of the inverse kinematics solution was verified. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inverse kinematics

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Optimization of Rescheduling Under Temporary Speed Restrictions in Urban Rail Transit: A MILP Model Approach 27

Optimization of Rescheduling Under Temporary Speed Restricti...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Lin, Xiao Wu, Xueliang Shang, Du Su, Shuai Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing China Beijing Mtr Operation Corporation Limited China

ISBN: (纸本)9798331505929

In urban rail operations, temporary speed limits may be imposed on certain sections due to factors such as track cracks, subway track maintenance, line construction, track renovation, or other external operations near track. These issues could prevent trains from running according to the scheduled timetable, leading to trains delay, cancellations, and longer waiting times for passengers. To reduce the impact of these disruptions, this paper introduces a model-based optimization method for scheduling temporary speed limits on urban rail lines. The model aims to minimize the deviation of trains from their planned timetable and the number of train cancellations, while establishing operational constraint models. Ultimately, the model undergoes linearization to facilitate a solution, which is achieved through numerical integration alongside the application of the Big-M method. This paper considers decision variables and constraints related to train speed limit operations and formulates the problem as a Mixed Integer Linear Programming (MILP) model, which can be solved by the CPLEX optimizer. An example is provided to illustrate the effectiveness of the proposed train scheduling model. The computational results indicate that the establishment of the optimization model reduces the impact of temporary speed restrictions. © 2024 IEEE.

关键词： Integer programming

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Real-Time Traffic Management of High-Speed Trains: A Novel Approach Combining Optimization with Machine Learning

Real-Time Traffic Management of High-Speed Trains: A Novel A...

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2024 China Automation Congress, CAC 2024

作者： Li, Chong Yin, Jiateng Ma, Lin Tang, Tao State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350368604

The real-time traffic control of high-speed trains (HSTs) is an important task in railway networks to reduce the delay time of trains in case of unexpected disruptions. Traditional approaches are based on mixed-integer programming (MILP) formulations to be solved by optimization methods such as branch-and-bound (B&B), which however require a very long time in real-world problems. Our study introduces a novel methodology that employs machine learning (ML) techniques to accelerate the optimization of MILPs. Specifically, our approach develops a feedforward network, which can be trained off-line, to predict the optimal MILP parameter configurations for the control of HSTs. Additionally, we develop a differential evolution (DE) algorithm, which fine-tunes these parameters in response to dynamic conditions. We conduct numerical experiments based on the real-world data of Beijing-Zhangjiakou high-speed railway (BZHR). The results demonstrate that our ML-accelerated approach significantly outperforms traditional optimization methods, improving the solution performance by 21.47%. © 2024 IEEE.

关键词： Integer programming

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High-Precision Fiber-Optic Time Transfer system Based on Bidirectional FDM and Correlation Processing

High-Precision Fiber-Optic Time Transfer System Based on Bid...

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2023 Joint Conference of the European Frequency and Time Forum and IEEE International Frequency Control Symposium, EFTF/IFCS 2023

作者： Xie, Kunfeng Hu, Liang Chen, Jianping Wu, Guiling Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronic Engineering China Shanghai Jiao Tong University Shanghai Key Laboratory of Navigation and Location Based Services Shanghai China

ISBN: (纸本)9798350311426

We report on a high-precision fiber-optic time transfer system over single optical fiber utilizing the same wavelength in both directions based on bidirectional frequency division multiplexing and cross correlation processing (BFDM-CR). The probe signals and the backscattering noises are effectively discriminated by electrical bandpass filtering for the non-overlapping spectrum of the bidirectional transmission signals. In this way, the impact of the Rayleigh backscattering and the dispersion-induced symmetric deviation over fiber link can be suppressed at the same time. The time interval of the received signals and the local signals is obtained by cross correlation processing to improve the SNR of the measurement on the time interval. A time transfer system based on BFDM-CR over 50km fiber-link is experimentally demonstrated. The stabilities in terms of time deviation (TDEV) are less than 19.2 ps/s and 2.2 ps/10000s, respectively. © 2023 IEEE.

关键词： fiber-optic frequency division multiplexing time transfer

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Design of Mixed Reality Assembly system Based on Improved ORB Algorithm 3

Design of Mixed Reality Assembly System Based on Improved OR...

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3rd International Conference on Computer Vision, Image and Deep Learning and International Conference on Computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Lu, Na Xiao, YongFei Zhao, Jie Shandong Provincial Key Laboratory of Robot and Manufacturing Automation Technology ShanDong China Harbin Institute of Technology Institute of Automation Shandong State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9781665459112

This paper studies the natural feature point detection algorithm in a virtual assembly system. To address the problems of unsatisfactory detection effect and poor matching accuracy of the ORB algorithm, a feature uniform distribution algorithm based on pyramidal grid division is proposed, and a strategy of retaining feature points according to Harris response values is formulated to solve the problem of feature point aggregation while ensuring extraction speed. Hamming distance and the RANSAC algorithm are used to constrain the matching results. The robot assembly system based on this algorithm overlays the 3D model of the spraying robot and virtual information in the mobile device to improve the assembly efficiency of the staff. The experimental results show that the mixed reality(MR) assembly system based on the algorithm of this paper performs well, and the real-time performance and alignment accuracy are improved. © 2022 IEEE.

关键词： Assembly

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Versatile photonic molecule switch in multimode microresonators

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Light(Science & Applications) 2024年第3期13卷 498-509页

作者： Zihan Tao Bitao Shen Wencan Li Luwen Xing Haoyu Wang Yichen Wu Yuansheng Tao Yan Zhou Yandong He Chao Peng Haowen Shu Xingjun Wang State Key Laboratory of Advanced Optical Communications System and Networks School of ElectronicsPeking UniversityBeijing 100871China College of Engineering Peking UniversityBeijing 100871China School of Integrated Circuits Peking University100871 BejingChina Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010China Frontiers Science Center for Nano-optoelectronics Peking UniversityBeijing 100871China Peng Cheng Laboratory Shenzhen 518055China

Harnessing optical supermode interaction to construct artificial photonic molecules has uncovered a series of fundamental optical phenomena analogous to atomic ***,the distinct energy levels and interactions in such two-level systems were provided by coupled *** reconfigurability is limited,as they often require delicate external field stimuli or mechanically altering the geometric *** highly specific approaches also limit potential ***,we propose a versatile on-chip photonic molecule in a multimode microring,utilizing a flexible regulation methodology to dynamically control the existence and interaction strength of spatial *** transition between single/multi-mode states enables the“switched-off/on”functionality of the photonic molecule,supporting wider generalized applications *** particular,“switched-on”state shows flexible and multidimensional mode splitting control in aspects of both coupling strength and phase difference,equivalent to the *** *** effect.“Switched-off”state allows for perfect low-loss single-mode transition(Qi~10 million)under an ultra-compact bend size(FSR~115 GHz)in a foundry-based silicon *** breaks the stereotyped image of the FSR-Q factor trade-off,enabling ultra-wideband and high-resolution millimeter-wave photonic *** demonstration provides a flexible and portable solution for the integrated photonic molecule system,extending its research scope from fundamental physics to real-world applications such as nonlinear optical signal processing and sixth-generation wireless communication.

关键词： switched multimode millimeter

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