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Large-scale plasma grafts voltage stabilizer on hexagonal boron nitride for improving electrical insulation and thermal conductivity of epoxy composite

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High Voltage 2023年第3期8卷 550-559页

作者： Penghao Zhang Chenguo Yao Liang Yu Xuetong Zhao Lisheng Zhao Linghan Lan Shoulong Dong State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical EngineeringChongqing UniversityChongqingChina School of Energy and Power Engineering Chongqing UniversityChongqingChina

Better electrical insulation and thermal management are both urgently required in integrated power *** insulation epoxy encapsulation suffers from poor heat conduction,which has increasingly become a bottleneck of power semiconductors *** incorporating high thermal conductivity ceramics,such as hexagonal boron nitride(hBN),aluminium nitride *** epoxy promotes the thermal conductivity,the eco-friendly scalable fabrication of these composites with sufficient electrical breakdown strength remains a formidable *** voltage stabilizers are known to provide additional benefits to breakdown ***,a highthroughput approach combining plasma with roll-to-roll was *** voltage stabilizer(acetophenone)was grafted on interfaces between hBN and epoxy matrix through *** high-energy electrons are consumed by the grafted interface,which leads to the significant suppression of partial discharge in Epoxy/***,interfacial phonon scattering is repaired by ***,the epoxy composite concurrently exhibits improved breakdown strength(by 27.4%)and thermal conductivity(by 142.9%)at about 11.9 wt.%filler content,outperforming the pure ***,a promising modification strategy for mass production is provided for the encapsulation materials in various high-power-density semiconductor devices.

关键词： composite conductivity insulation

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Squeezing More Past Knowledge for Online Class-Incremental Continual Learning

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 722-736页

作者： Da Yu Mingyi Zhang Mantian Li Fusheng Zha Junge Zhang Lining Sun Kaiqi Huang the State Key Laboratory of Robotics and System Harbin Institute of Technology(HIT)Harbin 150080China Center for Research on Intelligent System and Engineering Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Center for Research on Intelligent System and Engineering Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190the School of Artificial IntelligenceUniversity of Chinese Academy of SciencesBeijing 100049 the CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai 200031China IEEE

Continual learning(CL)studies the problem of learning to accumulate knowledge over time from a stream of data.A crucial challenge is that neural networks suffer from performance degradation on previously seen data,known as catastrophic forgetting,due to allowing parameter *** this work,we consider a more practical online class-incremental CL setting,where the model learns new samples in an online manner and may continuously experience new ***,prior knowledge is unavailable during training and *** works usually explore sample usages from a single dimension,which ignores a lot of valuable supervisory *** better tackle the setting,we propose a novel replay-based CL method,which leverages multi-level representations produced by the intermediate process of training samples for replay and strengthens supervision to consolidate previous ***,besides the previous raw samples,we store the corresponding logits and features in the ***,to imitate the prediction of the past model,we construct extra constraints by leveraging multi-level information stored in the *** the same number of samples for replay,our method can use more past knowledge to prevent *** conduct extensive evaluations on several popular CL datasets,and experiments show that our method consistently outperforms state-of-the-art methods with various sizes of episodic *** further provide a detailed analysis of these results and demonstrate that our method is more viable in practical scenarios.

关键词： Catastrophic forgetting class-incremental learning continual learning(CL) experience replay

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Phase field modeling of grain stability of nanocrystalline alloys by explicitly incorporating mismatch strain

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Rare Metals 2024年第7期43卷 3370-3382页

作者： Min Zhou Hong-Hui Wu Yuan Wu Hui Wang Xiong-Jun Liu Sui-He Jiang Xiao-Bin Zhang Zhao-Ping Lu Beijing Advanced Innovation Center for Materials Genome Engineering State Key Laboratory for Advanced Metals and MaterialsUniversity of Science and Technology BeijingBeijing 100083Cnina Institute for Carbon Neutrality University of Science and TechnologyBeijing 100083China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China

Ab st ra ct Nanocrystalline materials exhibit unique properties due to their extremely high grain boundary(GB) ***,this high-density characteristic induces grain coarsening at elevated temperatures,thereby limiting the widespread application of nanocrystalline *** experimental observations revealed that GB segregation and second-phase pinning effectively hinder GB migration,thereby improving the stability of nanocry stalline *** this study,a mouified phase-field model that integrates mismatch strain,solute segregation and precipitation was developed to evaluate the influence of lattice misfit on the thermal stability of nanocrystalline *** simulation results indicated that introducing a suitable mismatch strain can effectively enhance the microstructural stability of nanocrystalline *** synergizing precipitation with an appropriate lattice misfit,the formation of second-phase particles in the bulk grains can be suppressed,thereby facilitating solute segregation/precipitation at the *** concentrated solute segregation and precipitation at the GBs effectively hinders grain migration,thereby preventing grain *** findings provide a new perspective on the design and regulation of nanocrystalline alloys with enhanced thermal stability.

关键词： Phase field model Mismatch strain Second-phase precipitation Grain boundary segregation Nanocrystalline alloys

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Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform

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Light(Science & Applications) 2025年第3期14卷 746-756页

作者： Na Qian Defu Zhou Haowen Shu Ming Zhang Xingjun Wang Daoxin Dai Xiao Deng Weiwen Zou State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(imLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghaiChina State Key Laboratory of Advanced Optical Communications System and Networks Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBejingChina State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZhejiang UniversityHangzhouChina

Sharing the hardware platform between diverse information systems to establish full cooperation among different functionalities has attracted substantial ***,broadband multifunctional integrated systems with large operating frequency ranges are challenging due to the bandwidth and computing speed restrictions of electronic ***,we report an analog parallel processor(APP)based on the silicon photonic platform that directly discretizes and parallelizes the broadband signal in the analog *** APP first discretizes the signal with the optical frequency comb and then adopts optical dynamic phase interference to reassign the analog signal into 2N parallel *** photonic analog parallelism,data rate and data volume in each sequence are simultaneously compressed,which mitigates the requirement on each parallel computing ***,the fusion of the outputs from each computing core is equivalent to directly processing broadband *** the proof-of-concept experiment,two-channel analog parallel processing of broadband radar signals and high-speed communication signals is implemented on the single photonic integrated *** bandwidth of broadband radar signal is 6 GHz and the range resolution of 2.69 cm is *** wireless communication rate of 8 Gbit/s is also *** the bandwidth and speed limitations of the single-computing core along with further exploring the multichannel potential of this architecture,we anticipate that the proposed APP will accelerate the development of powerful optoelectronic processors as critical support for applications such as satellite networks and intelligent driving.

关键词： analog parallel processor sharing hardware platform multifunctional integrated systems establish full cooperation different functionalities analog parallel processor app based silicon photonic platform electronic circuitryherewe broadband signal

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Structural Reparameterization Network on Point Cloud Semantic Segmentation 12th

Structural Reparameterization Network on Point Cloud Semanti...

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12th International Conference on Image and Graphics, ICIG 2023

作者： Li, ZhiJian Jia, Kebin Zhao, YuXuan Huang, WeiWei Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing100124 China

ISBN: (纸本)9783031463044

In recent years, 3D point cloud semantic segmentation has made remarkable progress. However, most existing work focuses on designing intricate structures to aggregate local features, resulting in a significant number of parameters and computational demands. In this Paper, we combine the idea of structural reparameterization in 2D convolution to propose RPNet, which can effectively reduce the number of parameters while fully extracting the point cloud features. Specifically. We first design the multi-branch structure SRLFA (Structure Re-parameterization Local Feature Abstract) module based on the reparameterization to fully extract the local features of the point cloud, and design the PFA (Point Feature Abstract) module to extract the features of the point itself. Then, by decoupling the training and inference phases, the multi-branch structure is fused into an equivalent single-branch structure through the idea of structural reparameterization during training and inference, which ensures the feature extraction capability while effectively reducing the number of parameters. Finally, the proposed method is trained and tested on several public data, and the results demonstrate that the proposed method achieves advanced performance in mIoU and OA with effective control of the number of model parameters. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Semantic Segmentation

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Mechanical switches integrated sandwich triboelectric nanogenerator with high instantaneous output power 2

Mechanical switches integrated sandwich triboelectric nanoge...

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2nd International Conference on Frontier Materials, ICFM 2023

作者： Wu, Han Liao, Ruijin Wang, Jiyu State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing400044 China

Triboelectric nanogenerator (TENG) has emerged as a promising energy harvester that converts random mechanical energy in the environment into electricity to enable self-powered system construction. However, the conventional TENG exhibits a large internal resistance resulting in a low output power across external loads for practical application. In this work, the travel mechanical switches were integrated into the TENG to boost output power, where the switches were turned on and off by the periodic motion between the triboelectric layers. Moreover, the triboelectric layers of TENG were developed as contact separation sandwich structures to work with mechanical switches, allowing the device to release the co-accumulated charges from the dual triboelectric layer to yield giant instantaneous discharge. Compared to a conventional TENG, the device offers ∼2.8 times more transfer charge in one cycle and ∼106 times more instantaneous power at an external load of 500 ω, which renders the internal impedance match almost negligible. As a result, the high-power source demonstrates the ability to illuminate the commercial lamps in parallel (total power: 50 W). Such a unique TENG with high output power for low resistance load could greatly enrich the practical application fields of self-powered systems. © 2023 Published under licence by IOP Publishing Ltd.

关键词： Nanogenerators

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Enhanced thermoelectric performance of SmS by Se alloying and Y doping 4

Enhanced thermoelectric performance of SmS by Se alloying an...

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4th International Conference on Mechanical, Electronics, and Electrical and Automation Control, METMS 2024

作者： Liao, Huijun Huang, Zhengyong Jian, Li State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing400030 China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

Rare-earth sulfide SmS is verified to be a potential high-temperature thermoelectric material. However, the relatively high thermal conductivity limits its performance. Although Se alloying can effectively reduce the thermal conductivity, the bandgap becomes wider at the same time and more carrier concentration is required to optimize the electrical performance. A series Sm1-xYxS0.77Se0.23 (x =0, 0.03, 0.05, 0.07, 0.1) was synthesized by ball-milling combined hot-pressing. X-ray powder results showed all Y-doped samples of Sm1-xYxS0.77Se0.23 contains tiny Sm3S4 phase. When x 0.97Y0.03S0.77Se0.23 reaches 1.42 mW/m K2 at 1023 K. The thermal conductivity of Sm1-xYxS0.77Se0.23 (x © 2024 SPIE.

关键词： Carrier concentration

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On-orbit attitude planning for Earth observation imaging with star-based geometric calibration

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Science China(Technological Sciences) 2025年第2期68卷 243-256页

作者： Di HUANG Zhifu WANG Jianya GONG Haoran JI Institute of Aerospace Science and Technology School of Remote Sensing and Information EngineeringWuhan UniversityWuhan 430072China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingSchool of Remote Sensing and Information EngineeringWuhan UniversityWuhan 430072China National Key Laboratory of Air-based Information Perception and Fusion Luoyang 471009China Intelligent Game and Decision Laboratory Beijing 100071China

To improve the quality of remote sensing images,a novel on-orbit attitude planning method for Earth observation imaging with star-based geometric calibration is presented in this *** traditional imaging processes,the proposed method includes both pre-calibration and post-calibration stages to enhance the accuracy of satellite geometric positioning.A multiple-constraint attitude planning algorithm was developed to ensure star-based calibration,wherein the satellite camera and star sensors simultaneously capture the images of *** integration of cameras and multiple star sensors enables effective attitude *** the Earth imaging stage,a fast on-orbit attitude planning algorithm was developed to determine the satellite attitude and the optimal imaging times for ground *** with existing methods,the fast on-orbit attitude planning algorithm can significantly reduce computational time and resource consumption via initial value selection and *** demonstrate the effectiveness of the proposed attitude planning method,which was successfully applied to Wuhan 1 satellite.

关键词： attitude planning Earth observation imaging geometric calibration attitude constraints

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Sensorless Force Observer and Impedance Control for Physical Human-Robot Interaction 14th

Sensorless Force Observer and Impedance Control for Physical...

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

作者： Chao, Tan Huan, Zhao Yuan, Chao Li, Ding Wentao, Shan Guohong, Dai Han, Ding School of Mechanical Engineering Jiangsu University of Technology ChangZhou China State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789819626243

This paper presents a model-based scheme for controlling an industrial robot without using any external sensors for physical human-robot interaction. The scheme consists of two major modules: force observation and compliance control. First, an accurate dynamic model involving the friction and rotor inertia of the robot is constructed and identified. Then, a novel generalized momentum combining the second-order moments and rotor inertias is developed. This generalized momentum contributes to estimating the external force without information on the joint acceleration, where the external force is transformed into the joint space under Jacobian operators. Finally, independent position-based impedance control is adopted to implement the physical interaction. Compared with the traditional force estimation methods, the presented scheme only requires joint angles and joint torques, which makes it more accurate in force estimation, more stable and universal for commercial robots. Simulations and experiments on the ROKAE XB4 platform validate the effectiveness of the proposed scheme. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Human robot interaction

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Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy

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Chinese Journal of Electronics 2024年第3期33卷 803-813页

作者： Yongkui SUN Yuan CAO Peng LI Guo XIE Tao WEN Shuai SU National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of the anti-interference characteristics of vibration signals,this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals.A feature extraction method combining variational mode decomposition(VMD) and multiscale fluctuation-based dispersion entropy is developed,which is verified a more effective tool for feature ***,a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed,which is validated more powerful than single feature selection ***,support vector machine is utilized for fault *** comparisons show that the proposed method performs *** diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% ***,it is a try to use new means for fault diagnosis on railway point machines,which can also provide references for similar fields.

关键词： Fault diagnosis Railway point machine Vibration signal Variational mode decomposition Two-stage feature selection

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