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2024 International Conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Duan, Yahui Wu, Tonghua Chen, Wei Dai, Wei Cao, Yuhan Cao, Wenjun School of China EU Institute for Clean and Renewable Energy Huazhong University of Science and Technology Wuhan430074 China The State Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks Nari Technology Co. Ltd. Jiangsu211106 China The State Key Laboratory of Advanced Electromagnetic Technology Huazhong University of Science and Technology Wuhan430074 China State Grid Hebei Electronic Power Research Institute Hebei250002 China State Grid Shandong Electronic Power Research Institute Shandong050011 China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the increasing integration of distributed renewable energy sources into distribution networks, the characteristics of fault currents in distribution networks have undergone significant changes. Traditional three-stage current protection is no longer sufficient to meet the protection requirements. In theory, a differential protection scheme can better fulfill the requirements of rapid and accurate fault detection and clearance in distribution networks. Differential protection relies on real-time communication for information exchange between devices, and many researchers have incorporated wireless networks such as 5G into distribution network differential protection. Given the exponential growth of data in distribution networks and the security considerations of wireless communication like 5G, this paper proposes a secure protection technique for distribution network differential protection based on dual compressed sensing theory. This technique employs two compressed sensing schemes to compress the data before transmission, reducing the amount of data transferred while enhancing security. Subsequently, secure determinations are made based on the data at both ends processed through the compressed sensing algorithm, ensuring the security of communication in distribution network differential protection while achieving the same level of protection performance as traditional differential protection schemes. © 2025 SPIE.

关键词： Compressed sensing Data transmission Matrices Data communications Wireless communications Network security Reconstruction algorithms Computer security Signal processing Signal to noise ratio

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The influence of void and fractured fiber defects on the ultrafine Z-pin and Mode I fracture toughness of CFRP laminates

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Composite Structures 2025年 366卷

作者： Fu, Yihan Zhu, Weidong Li, Shuran Li, Mengze Xiao, Jing Yan, Ling Cheng, Liang Ke, Yinglin State Key Laboratory of Fluid Power and Mechatronic System School of Mechanical Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province School of Mechanical Engineering Zhejiang University Hangzhou310027 China

To minimize the damage caused by Z-pin insertion to the in-plane properties of the laminate, researchers have initiated investigations into the utilization of fine Z-pins and reduced insertion densities. However, the manufacturing process of fine Z-pins introduces voids and fiber fracture defects, leading to a decline in Z-pin quality and consequently affecting the efficacy of interlaminar toughening. In this research, defects in the Z-pin preparation process were identified through extensive experiments, and pre-stressing is applied during the curing of the Z-pin, leading to the successful development of the high-quality 80 μm and 90 μm diameter Z-pins. Furthermore, this research extensively examines the impact of these two defects on the quality of Z-pins and provides a model to determine the optimal Z-pin size corresponding to various insertion depths under the existing processing conditions. For example, according to the model, the optimal Z-pin size for laminates with a thickness of 4 mm is 90 μm. This ensures that the Z-pin's failure mode remains at the critical transition between pull-out and fracture, thereby maximizing its tensile strength utilization. The research findings are validated through experimental verification, thus providing insights for the application of ultrafine Z-pins. © 2025 Elsevier Ltd

关键词： Fracture toughness

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Robust Dual-Model Collaborative Broad Learning system for Classification Under Label Noise Environments

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IEEE Internet of Things Journal 2025年

作者： Deng, Wu Shen, Jiuru Ding, Jianming Zhao, Huimin Civil Aviation University of China College of Electronic Information and Automation Tianjin300300 China Civil Aviation University of China Tianjin Key Laboratory for Advanced Signal Processing Tianjin300300 China Southwest Jiaotong University State Key Laboratory of Rail Transit Vehicle System Chengdu610031 China State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong University Chengdu610031 China

Broad Learning system (BLS) has shown remarkable results in various machine learning tasks, but the fragility of BLS based on the minimum mean square error criterion under the label noise environment in Internet of Things(IoT) limits its application. To solve these problems, a dual-model collaborative label adaptive correction BLS based on the collaboration of KRPBLS and SKBLS, namely SC-KSBLS is proposed to significantly improve the robustness of BLS under label noise environment. Firstly, a new broad learning system based on the Kernel risk-sensitive mean p-power(KRP) criterion, namely KRPBLS is developed to overcome the sensitivity by optimizing the output weight matrix and replacing the minimum mean square error criterion. Then, the label feature space is constructed, and the popular regularization strategy is designed to construct the SKBLS model with the collaborative training of KRP criterion and regularization to improve the learning ability of BLS. Finally, the interaction mechanism between KRPBLS and SKBLS is designed to effectively identify and correct label noise. The robustness theory of the SC-KSBLS has been analyzed and proven. The experimental results on nine datasets in IoT show that the SC-KSBLS significantly improves the robustness and performance, which provide an innovative solution under label noise environment. © 2014 IEEE.

关键词： Adversarial machine learning

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The research of distributed CO2 monitoring technology based on NB-IoT 4

The research of distributed CO2 monitoring technology based ...

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4th International Computational Imaging Conference, CITA 2024

作者： Hu, Chun Li, Yanlin Zheng, Dezhi Cheng, Yufei Peng, Peng Nie, Sichong Advanced Research Institute of Multidisciplinary Sciences Beijing Institute of Technology Beijing100081 China MIIT Key Laboratory of Complex-field Intelligent Exploration Beijing Institute of Technology Beijing100081 China State Key Laboratory of CNS/ATM Beijing Institute of Technology Beijing100081 China Chongqing Caeri Robot Technology Co. Ltd. Certification Department Chongqing400722 China Innovation&Research Institute of HIWING Technology Academy Beijing100074 China

ISBN: (纸本)9781510688834

CO2 is one of the primary contributors to the greenhouse effect, and its monitoring and control are critical for achieving carbon peaking and neutrality goals. Therefore, large-scale distributed monitoring of CO2 concentrations in the environment is of significant importance. To investigate the diffusion patterns of CO2 in windless environments, this paper designs and implements a distributed CO2 monitoring system. The system adopts the three-layer architecture of the Internet of Things (IoT) as its overall framework, utilizing a self-developed CO2 sensor as the sensing layer node. The system employs the Narrowband Internet of Things (NB-IoT) protocol to achieve multi-node, wide-coverage, and low-power data transmission and reception. A custom database is developed as the application layer to store, classify, and manage data collected by the nodes. Experimental results provide CO2 monitoring data, which are analyzed to summarize the variation patterns of CO2 concentration over time and distance. By comparing these results with existing gas diffusion models, it is found that the trends are consistent, thereby demonstrating the reliability and stability of the proposed system. © 2025 SPIE.

关键词： Carbon capture and utilization

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A zero-fault sample diesel engine early warning and localisation method based on multi-cylinder similarity and memory augmentation

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Expert systems with Applications 2025年 284卷

作者： Mo, Hangfeng Ji, Shude Chen, Shenxiao Wang, Zijia Jiang, Zhinong Mao, Zhiwei Key Laboratory of Engine Health Monitoring-Control and Networking Ministry of Education Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing100029 China Tianjin300400 China State Key Laboratory of Tribology in Advanced Equipment Tsinghua University Beijing10084 China

Diesel engines often present challenges in achieving efficient warning and accurate localisation during actual operation due to complex working conditions and the lack of fault samples. To address this issue, this paper proposes a zero-fault sample anomaly warning and localisation method for diesel engines, which is based on multi-cylinder similarity and memory augmented autoencoder. This approach allows for model training without the use of fault samples, a method that has been scarcely explored in industrial research concerning diesel engine fault diagnosis using only normal samples. The method leverages the similarities in operating states among multiple cylinders and constructs a joint similarity matrix by integrating waveform similarity and impact energy similarity. This approach captures the intrinsic correlation characteristics among the cylinders and effectively mitigates the influence of changes in operating conditions on diagnostic performance. Additionally, a memory augmentation autoencoder is employed to model normal samples. By amplifying the reconstruction error of abnormal data, the method facilitates fault warning and localisation even in the absence of fault samples. Experimental results demonstrate that the proposed method can successfully achieve early fault warning and localisation under both single and cross-operating conditions without requiring fault samples, thereby providing an effective solution for early fault detection and intelligent maintenance of diesel engines. © 2025 Elsevier Ltd

关键词： Industrial research

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Enhancing IC substrate manufacturing through differential geometry and lightweight networks for etching defect detection

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Journal of Manufacturing systems 2025年 80卷 902-915页

作者： Yu, Yongxing Huang, Dan Hu, Yueming School of Automation Science and Engineering South China University of Technology Guangzhou510641 China Engineering Research Center of Precision Electronic Manufacturing Equipment Ministry of Education and Guangdong Provincial Engineering Laboratory for Advanced Chip Intelligent Packaging Equipment South China University of Technology Guangzhou510641 China Department of Automation North China Electric Power University Baoding071003 China Baoding key Laboratory of State Detection and Optimization Regulation for Integrated Energy System North China Electric Power University Baoding071003 China

With the advancement of high-density interconnect technology in semiconductor manufacturing, the precision and complexity of integrated circuit (IC) substrates have significantly increased, placing higher demands on quality control. Efficient and accurate detection of complex etching defects, which often occur during manufacturing, has become critical to preventing potential product defects. A defect detection method is proposed that combines a lightweight network with differential geometry tools to address the issue of etching defects in IC substrates. First, an improved deformable model is used to rapidly extract regular circuit trace contours from complex metallographic images, and morphological processing is applied to enhance the details, achieving precise image segmentation. For under-etching defects between circuit traces, differential processing of the original and segmented images is performed to locate abnormal regions. Subsequently, an optimized lightweight network based on MobileNet, termed OMNet, is designed to achieve the rapid identification of under-etching defects in these regions. For etching defects occurring on circuit traces, the DGEtch method employs a high-precision discrete curvature calculation based on the Frenet frame to evaluate angular discontinuities in contours, enabling accurate detection of etching defects. Experimental results demonstrate that the proposed method achieves an average recall rate of over 95% and maintains a precision above 90%. It exhibits high accuracy and stability in detecting etching defects and consistently outperforms existing models, particularly in handling complex mixed defects. This study provides an effective solution for detecting complicated defects in high-density IC substrate manufacturing. © 2025 The Society of Manufacturing Engineers

关键词： Inspection

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Multi-Armed Molecule Drives High Energy Dissipation and Stiffness via Physically Cross-Linking

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Small 2025年 e2503823页

作者： Han, Liujia Qi, Wenhao Liu, Kai Wu, Peiyi State Key Laboratory of Advanced Fiber Materials National Engineering Research Center for Dyeing and Finishing of Textiles College of Chemistry and Chemical Engineering Donghua University Shanghai201620 China State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China

Damping materials, particularly viscoelastic polymeric materials, are essential to mitigate or even eliminate vibration through energy dissipation. However, designing pure polymeric damping materials with high stiffness remains a challenge, which limits their application in constrained damping layer treatments for mechanical structures. Herein, a chemical design of damping yet stiff supramolecular polymeric materials (SPMs) cross-linked by small dendritic molecules with quadruple H-bonding units at the branch ends is proposed. These rationally designed molecules not only enhance the chain relaxation and improve the damping performance of the original polymeric topology, but also maintain the resultant stiffness at a high level due to newly generated robust quadruple H-bonds. As a result, these SPMs exhibit excellent damping performance across a wide range of frequencies and temperatures, while simultaneously demonstrating key constrained damping characteristics such as high stiffness, adhesive properties, and recyclability. Importantly, these SPMs are employed as a model system to elucidate the molecular mechanism underlying their unique combination of damping and stiffness. © 2025 Wiley-VCH GmbH.

关键词： Molecular recognition

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Channel Measurements and Modeling for Dynamic Vehicular ISAC Scenarios at 28 GHz

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IEEE Transactions on Communications 2025年

作者： Zhang, Zhengyu He, Ruisi Ai, Bo Yang, Mi Zhang, Xuejian Qi, Ziyi Yuan, Yuan Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation School of Electronics and Information Engineering Frontiers Science Center for Smart High-speed Railway System Beijing100044 China

Integrated Sensing and Communication (ISAC) is a promising technology for 6G, with the goal of providing end-to-end information processing and inherent perception capabilities for future communication systems. Within ISAC emerging application scenarios, vehicular ISAC technologies have the potential to enhance traffic efficiency and safety through integration of communication and synchronized perception abilities. To establish a foundational theoretical support for vehicular ISAC system design and standardization, it is necessary to conduct channel measurements, and model to obtain a deep understanding of the radio propagation. In this paper, a dynamic statistical channel model is proposed for vehicular ISAC scenarios, incorporating Sensing Multi-Path Components (S-MPCs) and Clutter Multi-Path Components (C-MPCs), which are identified by the proposed tracking algorithm. Based on actual vehicular ISAC channel measurements at 28 GHz, time-varying sensing characteristics in front, left, and right directions are investigated. To model the dynamic evolution process of channel, number of new S-MPCs, lifetimes, initial power and delay positions, dynamic variations within their lifetimes, clustering, power decay, and fading of C-MPCs are statistically characterized. Finally, the paper provides implementation of dynamic vehicular ISAC model and validates it by comparing key simulation statistics between measurements and simulations. © 1972-2012 IEEE.

关键词： Fading (radio)

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The influence of position errors on stray light in compensation interferometry

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Astronomical Techniques and Instruments 2025年第2期2卷 111-118页

作者： Yutong Sun Qiang Cheng Longxiang Li Xin Zhang Donglin Xue Xuejun Zhang Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Applied Optics Changchun 130033China Key Laboratory of Optical System Advanced Manufacturing Technology Changchun 130033China

Null compensation interferometry is the primary testing method for the manufacture of ultra-high-precision aspheric *** crosstalk fringes generated by stray light in interferometry can affect accuracy and potentially prevent the testing from proceeding *** errors include the decenter error,tilt error,and distance *** the testing process,position errors will impact the testing accuracy and the crosstalk fringes generated by stray *** determine the specific impact of position errors,we use the concept of Hindle shell testing of a convex aspheric mirror,and propose the simulation method of crosstalk fringes in null compensation *** also propose evaluation indices of crosstalk fringes in interferometry and simulate the influence of position errors on the crosstalk *** work aims to help improve the design of compensation interferometry schemes,enhance the feasibility of the design,reduce engineering risks,and improve efficiency.

关键词： Compensation interferometry Stray light Multi-beam interference Position error

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Comprehensive Performance Optimization of a Novel Anthropomorphic Dexterous Hand

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IEEE robotics and Automation Letters 2025年第7期10卷 6816-6823页

作者： Yifan Ma Weiwei Shang Fei Zhang Shunxiang Pang Shuqing Dai Zhengkun Yi Guotao Li Shuang Cong Department of Automation University of Science and Technology of China Hefei China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China

Grasp and in-hand manipulation of dexterous hands are essential for daily operational tasks. In this study, an optimized design method for a novel anthropomorphic dexterous hand is proposed, which improves the comprehensive performance of grasp and manipulability of the dexterous hand. The constraints of multi-fingered contact force and kinematics are established with full consideration of the applicability to the objects of different sizes and the shape characteristics of finger contact surface. The performance index of in-hand manipulation ability is proposed, and the optimization problem is constructed through the technique for order preference by similarity to ideal solution (TOPSIS) to achieve multi-objective optimization of precision grasp and in-hand manipulation. Finally, simulation and experiment verify the feasibility of our prototype and optimization method. The results show that the in-hand translation space and in-hand rotation range are increased by 20% and 8.5%, respectively. Our dexterous hand has excellent abilities of multi-fingered interaction and in-hand manipulation, which can perform 33 grasp gestures and two/three-fingered in-hand manipulation. This study provides a valuable reference for the design of dexterous hands with anthropomorphic functions.

关键词： Thumb Hands Kinematics Grasping Force Performance analysis IP networks Electronics packaging Cables Accuracy

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