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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Hou, Cong Su, Yuyue Tian, Qi Hu, Xinrui Lei, Huibing Ning, Haoxuan Xia, Yu Research Institute State Grid Jibei Electric Power Co. Ltd. Beijing China School of Electrical and Control Engineering Shaanxi University of Science and Technology Shaanxi Xi’an China

ISBN: (纸本)9789819620456

With the continuous development of power system distribution network automation, network security issues are becoming more and more prominent, in which the collection and analysis of open source threat intelligence is a key link to ensure the safe and stable operation of power systems. With the development of artificial intelligence technology, the application of artificial intelligence generated content (AIGC) has brought significant changes to open source intelligence. The application of generative AI technology in power system open source threat intelligence was focused in this paper, and the implementation methods and challenges of automated collection, fusion and analysis of open source threat intelligence using generative AI technology were introduced, summarized and discussed. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Power system analysis

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Single-atom iron on semi-hollow carbon synthesized by chemical waste-vapor assistance: A superior catalyst for polychlorinated biphenyls degradation

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Nano research 2025年第2期18卷 164-172页

作者： Bingqing Wang Xu Han Jiaqiang Sun Zhichao Yun Yonghai Jiang State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental SciencesBeijing 100012China Department of Chemistry National University of SingaporeSingapore 117543Singapore Anhui Basic Discipline Research Center for Clean Energy and Catalysis College of Chemistry and Materials ScienceAnhui Normal UniversityWuhu 241002China

Single-atom site catalysts(SACs)with high atom utilization efficiencies exhibit unexpected properties,making them ideal candidate catalysts for numerous ***,we report a chemical-waste-vapor-assisted(CWVA)strategy for the synthesis of a catalyst with single atom Fe on semi-hollow N-doped carbon(SA-Fe/SHNC).Benefitting from its atomic Fe sites,the prepared catalyst exhibited a 103-fold higher activity(0.827 vs.0.008mol_(PCB-209)·mol_(M)^(-1)·h^(-1))and much longer time-stability(more than 50 vs.0.5 h)than benchmarked Fe_(3)0_(4) nanoparticles toward decachlorobiphenyl(PCB-209)*** and density functional theory calculations revealed that the highly active isolated Fe sites are responsible for the activity of Fe-SAC/*** addition,the CWVA method was shown to be applicable for synthesizing other single atoms on various structured supports,thereby providing new opportunities for the design of various structured SACs for different applications.

关键词： single-atomic site catalyst chemical-waste-vapor Fe-N-C hollow structure polychlorinated biphenyls(PCBs)

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Robust Health Monitoring for Lithium-Ion Batteries under Guidance of Proxy Labels: A Deep Multi-Task Learning Approach

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IEEE Transactions on Power Electronics 2025年第8期40卷 10272-10285页

作者： Guo, Ruohan Zhang, Kui He, Shangyang Tao, Shengyu Zhang, Xuan Liu, Kailong Li, Xiangjun Tian, Jinpeng Shen, Weixiang Chung, Chi Yung The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Research Centre for Grid Modernisation Kowloon999077 Hong Kong Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518055 China Shandong University School of Control Science and Engineering Jinan250100 China China Electric Power Research Institute Beijing100192 China Swinburne University of Technology School of Engineering MelbourneVIC3122 Australia

State of health (SOH) estimation is foundational for effective health prognosis and management of lithium-ion batteries. However, conventional data-driven approaches struggle to ensure robust generalisability when training data lacks sufficient SOH labels. In this work, we explore the potential utility of ageing information, gathered from routine operational data beyond the standard input collection region, as proxy labels (PLs) to establish nonlinear mappings between a short charging segment and SOH. To achieve this, we develop a multi-task learning (MTL) framework for battery health monitoring, which comprises two critical components: (1) a deep MTL model, and (2) a multivariate Gaussian process regression (GPR) model. The deep MTL model is designed with four distinct tasks, each with a specific goal to exploit data under different labelling conditions, facilitating the extraction of domain-invariant and target-specific features for PL estimation. Using the estimated PLs, the GPR model is employed to provide precise mappings to SOH. Validations are conducted on batteries with diverse chemistries and cycling temperatures, particularly under severe label scarcity below 5%. The results confirm the effectiveness of the proposed method, outperforming baseline methods and achieving a mean absolute error of less than 1.3% in all case studies. © 1986-2012 IEEE.

关键词： Electronic health record

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Climate Downscaling Using Neural Operator: Spatiotemporal Multimodal Fusion Operator with State-Query Coupled Kernel

Climate Downscaling Using Neural Operator: Spatiotemporal Mu...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Zhang, Haodi Wang, Yichi Jian, Yifan Jiang, Jiahui Bai, Zhaohai Ma, Lin College of Computer Science and Software Engineering Shenzhen University China Center for Agricultural Resources Research Institute of Genetic and Developmental Biology Chinese Academy of Sciences China State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University China

ISBN: (纸本)9798350368741

Climate downscaling is crucial for detailed small-scale analysis and for acquiring climate data in regions without weather stations. Operator learning has proven potential for this task. However, several challenges remain in operator learning, such as multimodal fusion, spatiotemporal fusion and input state and query adaptation. To address these challenges, we propose a Spatiotemporal Multimodal Fusion Operator with a State-Query Coupled Kernel (SMCK). This framework includes a latent space fusion encoder that encodes climate variables using position-wise multihead attention for multimodal fusion and integrates historical information to generate robust and precise representation. Additionally, we introduce a state-query coupled kernel that combines radial basis functions and discrete fourier encoding to enhance query location representation, while also adapting to the state to obtain the coupled kernel. Extensive experiments demonstrate that our method achieves state-ofthe-art performance and provides strong support for climate downscaling and the planning of climate-related strategies. © 2025 IEEE.

关键词： Climate downscaling Deep Learning Multimodal fusion Operator learning Time series forecasting

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Design and testing research of LiDAR for detecting atmospheric turbulence

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Optoelectronics Letters 2025年第3期21卷 172-176页

作者： QIU Duoyang LI Xianyang YANG Hao ZHU Xiaomeng FANG Zhiyuan XU Xiang School of Advanced Manufacturing Engineering Hefei UniversityHefei230601China Anhui Provincial Engineering Technology Research Center of Intelligent Vehicle Control and Integrated Design Technology Hefei UniversityHefei230601China Science Island Branch of Graduate School University of Science and Technology of ChinaHefei230026China School of Mechanical and Energy Engineering Ningbo Tech UniversityNingbo315100China Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine MechanicsChinese Academy of SciencesHefei230031China

Atmospheric turbulence is an important parameter affecting laser atmospheric *** paper reports on a self-developed atmospheric turbulence detection Li DAR system(scanning differential image motion Li DAR(DIM-Li DAR)system).By designing and simulating the optical system of atmospheric turbulence detection Li DAR,the basic optical imaging accuracy has been determined.

关键词： li dar designing simulating optical system lidar scanning differential image motion lidar differential image motion laser atmospheric transmissionthis atmospheric turbulence atmospheric turbulence detection li darthe

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Oyster-derived anticoagulant peptide mitigates thrombin-induced barrier dysfunction and prothrombotic phenotype in human pulmonary microvascular endothelial cells

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Food science and Human Wellness 2025年第05期 1854-1863页

作者： Shuzhen Cheng Siyi Wang Ximing Yang Minghao Xie Qi Yang Lushun Yuan Ming Du SKL of Marine Food Processing & Safety Control School of Food Science and Technology Dalian Polytechnic University National Engineering Research Center of Seafood Collaborative Innovation Center of Seafood Deep Processing Dalian Polytechnic University Department of Vascular Surgery Shanghai General Hospital Shanghai Jiao Tong University

Thrombin blockers have been shown to be effective for various pathological conditions,but their use is limited due to the potential for serious bleeding adverse *** study introduced a novel bioactive peptide(P-2-CG) from oyster,that mitigated thrombin-mediated barrier dysfunction and prothrombotic phenotypes in human pulmonary microvascular endothelial cells(HPMECs).P-2-CG significantly attenuated the increase in endothelial monolayer permeability induced by thrombin through the possible attenuation of RhoA activation and it promoted barrier recovery by enhancing endothelial cell ***,P-2-CG was found to decrease the pro-thrombotic phenotype induced by thrombin in HPMEC by reducing the extrinsic trigger tissue factor mRNA expression,which resulted in prolonged plasma clotting time,decreased Factor Xa activation,and reduced thrombin ***,P-2-CG inhibited thrombosis efficiently by blocking intercellular adhesion molecule 1 and vascular cell adhesion protein 1 expression via tyrosine phosphorylation of nuclear factor-κB p65.P-2-CG inhibits thrombin mediated inflammation and provides a potential therapeutic option for treating endothelial dysfunction and thrombosis.

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Compound Compensation control for Improving Low-Voltage Ride-Through Capability of Virtual Synchronous Generators

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Journal of Modern Power Systems and Clean Energy 2025年第3期13卷 1064-1077页

作者： Zhiyuan Meng Xiangyang Xing Xiangjun Li Jiadong Sun School of Control Science and Engineering Shandong University Shandong China China Electric Power Research Institute Beijing China

The virtual synchronous generator (VSG), utilized as a control strategy for grid-forming inverters, is an effective method of providing inertia and voltage support to the grid. However, the VSG exhibits limited capabilities in low-voltage ride-through (LVRT) mode. Specifically, the slow response of the power loop poses challenges for VSG in grid voltage support and increases the risk of overcurrent, potentially violating present grid codes. This paper reveals the mechanism behind the delayed response speed of VSG control during the grid faults. On this basis, a compound compensation control strategy is proposed for improving the LVRT capability of the VSG, which incorporates adaptive frequency feedforward compensation (AFFC), direct power angle compensation (DPAC), internal potential compensation (IPC), and transient virtual impedance (TVI), effectively expediting the response speed and reducing transient current. Furthermore, the proposed control strategy ensures that the VSG operates smoothly back to its normal control state following the restoration from the grid faults. Subsequently, a large-signal model is developed to facilitate parameter design and stability analysis, which incorporates grid codes and TVI. Finally, the small-signal stability analysis and simulation and experimental results prove the correctness of the theoretical analysis and the effectiveness of the proposed control strategy.

关键词： Reactive power Power system stability Codes Voltage control Electric potential Compounds Grid forming Grid following Damping Transient analysis

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Haptic-Aided Navigation Vehicle: Enhancing Obstacle Detection in Blind Spots and Transparent Object Scenarios

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Journal of Shanghai Jiaotong University (science) 2025年 1-9页

作者： Li, Mingwang Li, Xinde Zhang, Zhentong Zhang, Zeyu Zhao, Haoming School of Software Southeast University Suzhou Jiangsu215000 China School of Automation Southeast University Nanjing210018 China School of Cyber Science and Engineering Southeast University Nanjing211102 China Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education Nanjing214135 China Nanjing Center for Applied Mathematics Nanjing211135 China Southeast University Shenzhen Research Institute Shenzhen Guangdong518063 China

As autonomous mobile robots are increasingly deployed in complex environments, traditional vision sensors and LiDAR encounter considerable limitations, particularly in detecting obstacles in blind spots or transparent objects. To address the issue of blind spots, we design a specialized haptic sensing structure and develop the haptic-aided navigation vehicle (HANV). This system integrates haptic sensors and LiDAR to deliver comprehensive perception, significantly enhancing close-range obstacle detection in areas that are typically beyond the range of conventional sensors. To tackle the challenge of transparent obstacles, which are often undetected by both vision and LiDAR sensors, we employ a fusion of haptic sensors and LiDAR. The haptic system provides physical contact feedback, ensuring reliable detection of transparent obstacles such as glass, while LiDAR offers long-range sensing capabilities. This combination enables HANV to navigate effectively in environments with transparent obstacles, overcoming the limitations of traditional sensing systems. Experiment results indicate that the proposed haptic and LiDAR integration substantially improves obstacle detection in both blind spots and environments with transparent obstacles. HANV achieves high success rates, minimal collisions, and efficient obstacle avoidance, particularly excelling in complex, confined spaces where conventional systems prove inadequate. These findings emphasize the efficacy of our approach in enhancing navigation performance in dynamic and challenging environments. (Figure presented.) © Shanghai Jiao Tong University 2025.

关键词： Mobile robots

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Enhancing visible light degradation of gaseous formaldehyde with CuOx/OVs-TiO2 photocatalyst loaded wallpaper: Preparation, efficacy and mechanism

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Chemosphere 2025年 371卷 144051页

作者： Guo, Yiwen Gao, Peng Han, Qi Feng, Li Zhang, Liqiu Beijing Key Laboratory for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing100083 China Engineering Research Center for Water Pollution Source Control & Eco-remediation College of Environmental Science and Engineering Beijing Forestry University Beijing100083 China

Photocatalytic oxidation is considered to be a highly promising technology for indoor formaldehyde (HCHO) abatement. However, powdered photocatalysts encounter practical challenges due to their recycling difficulties and propensity for aggregation. In this study, we developed a CuOx/OVs-TiO2 photocatalyst dispersion using various physical and chemical methods, which could be stabilized for an extended period. Subsequently, this catalyst was applied as a coating on nonwoven wallpaper (WP) to fabricate a novel CuOx/OVs-TiO2/WP composite which exhibited efficient photocatalytic performance in degrading gaseous HCHO under visible light irradiation. The physicochemical properties, photocatalytic activity and degradation mechanism of CuOx/OVs-TiO2/WP were systematically investigated through adsorption-photocatalytic degradation experiments, in-situ diffuse reflectance Fourier transform infrared spectroscopy (in-situ DRIFTS), and other analytical techniques. Results showed that the adsorption capacity of CuOx/OVs-TiO2/WP was 1.94 and 1.23 times higher than that of the individual photocatalyst or wallpaper, respectively. In addition, after 180 min of visible light irradiation, the HCHO removal rate achieved by CuOx/OVs-TiO2/WP reached 76.26%, representing a 52.54% enhancement compared to WP alone. Free radical quenching experiments and in-situ DRIFTS measurements were employed to elucidate the mechanism of photocatalytic oxidation of HCHO. It was found that hydroxyl radical (·OH) played a ruling role in HCHO decomposition, with HCHO initially oxidized to dioxymethylene (DOM), subsequently converted to formate species, and ultimately oxidized to carbonate or H2O and CO2. Furthermore, the degradation of HCHO by CuOx/OVs-TiO2/WP remained above 65% after five cycles, demonstrating a cycling stability of 86.88%. This study provides valuable insights for the photocatalytic treatment of indoor HCHO. © 2024

关键词： Fourier transform infrared spectroscopy

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The influence mechanism of transmission stiffness on mechanical resonance of aircraft rudder servo system

The influence mechanism of transmission stiffness on mechani...

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2024 International Conference on Aerospace, Mechanical and Materials engineering, AMME 2024

作者： Xu, Zhiwei Tang, Dejia Xu, Dufeng Fang, Li Fu, Yiyong School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai200240 China Shanghai Aerospace Control Technology Institute Shanghai201109 China Shanghai Engineering Research Center of Servo Systems Shanghai201109 China

Regarding the mechanical resonance problem caused by the coupling of flexible characteristics and transmission stiffness, this typical problem is faced by aircraft rudder servo systems under the requirement of lightweight design. A model of the aircraft rudder servo system considering flexible coupling links is established, and the influence of transmission stiffness on the open-loop transfer function of the rudder servo system is analyzed. Increasing the transmission stiffness increases both the anti-resonance frequency and the resonance frequency of the rudder servo system, and the system performance changes depending on the change in open-loop gain margin. When the load-motor rotational inertia and product are small, and the resonant frequency is still much lower than the natural frequency of the current loop after increasing the transmission stiffness, the system open-loop gain margin will decrease and mechanical resonance will intensify. When the load-motor rotational inertia and product are relatively large, increasing the transmission stiffness to make the resonant frequency close to or even greater than the natural frequency of the current loop will increase the system's open-loop gain margin and weaken mechanical resonance. The correctness of the research conclusion was verified through system simulation and experimental validation. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Natural frequencies

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