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IEEE Asia Power and Energy engineering Conference (APEEC)

作者： Huiqiang Li Pengbo Yin Zuoming Xu Lianlian Gao School of Electric and Electronic Engineering Harbin University of Science and Technology Harbin China State Key Laboratory of Power Grid Environmental Protection China Electric Power Research Institute Wuhan China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

Leakage current is an indispensable basic parameter for the insulation state of power equipment. In order to improve the reliability of power equipment insulation state perception, the leakage current measurement results must be accurate, stable and reliable. Leakage current measurement belongs to the precision measurement category of high voltage, strong magnetic field and small current, generally μA or mA level, which is susceptible to external environment interference. Leakage current is usually measured using a non-contact electromagnetic induction element, so this sensing device is very sensitive to external magnetic fields. Therefore, it is of great significance to study the efficiency and topology optimization of magnetic shield structure of microcurrent sensor. In order to solve the technical problem of the weak ability of the microcurrent sensor to resist the power frequency magnetic field interference, the interference characteristics of the external magnetic field to the working magnetic field of the microcurrent sensor in the complex system substation environment are studied. The shielding effect of magnetic shielding structure of leakage current detection equipment under different schemes is further studied, and the optimal shielding structure is proposed. The research on magnetic shielding technology in this paper can provide theoretical basis for accurate measurement of leakage current.

关键词： Magnetic field measurement Voltage measurement Current measurement Interference Topology Leakage currents Magnetic fields

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Fault Diagnosis Based on Fault Tree and Bayesian Network with Grey Optimization

Fault Diagnosis Based on Fault Tree and Bayesian Network wit...

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Chinese Control and Decision Conference, CCDC

作者： Dong Liu Xiaoyu Xu Ke Ma Laifa Tao Mingliang Suo Shenyang Aircraft Design & Research Institute Shenyang China Institute of Reliability Engineering Beihang University Beijing China National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing China School of Reliability and Systems Engineering Beihang University Beijing China

ISBN: (纸本)9781665478977

Remote-controlled engine ignition of unmanned aerial vehicle (UAV) is the key node for its successful flight mission. The effective fault diagnosis and prevention of remote-controlled engine is the guarantee of its safe and reliable operation. This paper proposes a fault diagnosis method based on the fusion of fault tree (FT) and Bayesian network (BN). Further, a grey analysis model is employed to mine the in-depth information of the FT model, so as to find the key factors affecting the ignition failure of the remote-controlled engine, and provide support for maintenance and product design. Finally, the correctness and validity of the proposed model are verified by using a the typical fault mode of the remote-controlled engine.

关键词： Fault diagnosis Analytical models Ignition Maintenance engineering Autonomous aerial vehicles Product design Bayes methods

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Necessity and Optimal Design of Magnetic Shielding Structure for Leakage Current Sensors

Necessity and Optimal Design of Magnetic Shielding Structure...

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China International Electrical and Energy Conference (CIEEC)

作者： Pengbo Yin Yan Liu Jianben Liu Huiqiang Li Wei Hu Lianlian Gao State Key Laboratory of Power Grid Environmental Protection China Electric Power Research Institute Wuhan China Harbin University of Science and Technology School of Electric and Electronic Engineering Harbin China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Leakage current is inextricably linked to the insulation state of power equipment, leakage current refers to the current formed inside the insulation and on the surface of the insulation between the high potential and the low potential under the condition of applied voltage. Leakage current is an essential basic parameter for the perception of insulation state of power equipment, and to improve the reliability of the perception of insulation state of power equipment, it is necessary to ensure that the leakage current measurement results are accurate, stable and reliable. Therefore, it is of great significance to study the magnetic shielding structure of microcurrent sensors and improve the shielding structure's ability to resist the interference of industrial frequency magnetic field. In this paper, by optimizing the design of magnetic shield structure, increasing the thickness of magnetic shield extension structure and magnetic shield gap, the shielding efficiency of the shielding device can be effectively enhanced. Through the study of micro-current sensors in the complex system substation environment by the external magnetic field interference on the influence of its working magnetic field characteristics, aimed at solving the micro-current sensors in the face of industrial frequency magnetic field interference in the weak anti-interference ability of technical problems.

关键词： Insulation Magnetic field measurement Magnetic sensors Magnetic devices Interference Magnetic noise Sensor phenomena and characterization

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Boron Nitride Hollow Microtube with Nanosheets Directionally Covering the Tube Wall: Preparation, Optical and Adsorption Property

SSRN

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SSRN 2023年

作者： Ji, Yuchun Li, Zhengde Zhang, Laiping Wang, Jilin Li, Wenbiao Chen, Wenzhuo Zheng, Guoyuan Long, Fei Zou, Zhengguang School of Materials Science and Engineering Guangxi Key Laboratory of Optical and Electronic Materials and Devices Guilin University of Technology Guilin541004 China China Electronic Product Reliability and Environmental Testing Institute Guangdong511370 China

In this paper, a novel Boron nitride hollow microtube (BNHM) structure by annealing assisted high-pressure etching method. The products were characterized by XRD, FTIR, Raman, XPS, SEM, TEM, TGA, BET, UV-vis, and PL. The result shows that the sample displayed a one-dimensional hollow tube structure directionally covered with nanosheets. The average inner diameter of the hollow tube is 1 μm with a length of 2-4.5 μm. And the wall thickness of the hollow tube structure is about 100 nm. In addition, the band gap value of the sample is 5.51 eV presenting the strongest emission peak at 225 nm. The specific surface area of the sample is 272.6 m2·g-1, showing good adsorption efficiency on Congo red (absorbed 75% in 5 min). Meanwhile, the possible growth mechanism of BNHM is also discussed. © 2023, The Authors. All rights reserved.

关键词： Energy gap

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Construction of amidoxime-functionalized magnetic hydroxyapatite with enhanced uranium extraction performance from aqueous solution and seawater

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Chemosphere 2023年 343卷 140257页

作者： Wang, Yan Jiang, Yueyong Zhang, Yong Liu, Xiaolin Sun, Sen Qin, Shiyi Huang, Jiaqi Chen, Bowei Nuclear Waste Disposal Engineering Research Center School of Mathematics and Physics Mianyang Teachers' College Mianyang621000 China State Key Laboratory of Environment-friendly Energy Materials Sichuan Co-Innovation Center for New Energetic Materials National Co-innovation Center for Nuclear Waste Disposal and Environmental Safety Nuclear Waste and Environmental Safety Key Laboratory of Defense School of National Defence Science & Technology Southwest University of Science and Technology Mianyang621010 China

A novel amidoxime-functionalized magnetic hydroxyapatite (AFNH) was successfuly fabricated to extract uranium from aqueous solution and seawater. The introduction of amidoxime group not only increased the number of active site of AFNH to speed up the adsorption rate and increase the extraction capacity, but also adjusted the optimal extraction pH from 4 to 8, which was beneficial for capturing uranium from seawater. The maximum adsorption capacity and adsorption efficiency at pH 8 were 945.2 mg g−1 and 99.2%, respectively. AFNH still had good removal efficiency (above 90%) after five cycles, indicating the good regeneration of AFNH. After uranium adsorption, AFNH could be easily recycled by magnetic separation due to its magnetism. In simulated seawater, AFNH also showed excellent uranium removal performance with high adsorption efficiency (84.9%) and adsorption capacity (1.70 mg g−1). Furthermore, the 14-day uranium extraction capacity of AFNH in natural seawater could reach 5.93 mg g−1. The SEM, FTIR, XRD and XPS analyses showed that the enhanced uranium extraction performance of AFNH was mainly attributed to electrostatic interaction, complexation and co-precipitation. In conclusion, AFNH was expected to be a candidate as adsorbent with great potential in extracting uranium from seawater. © 2023 Elsevier Ltd

关键词： Extraction

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Image-Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancement

arXiv

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arXiv 2025年

作者： Feng, Zhicheng Chen, Xieyuanli Shi, Chenghao Luo, Lun Chen, Zhichao Liu, Yun-Hui Lu, Huimin The College of Intelligence Science and Technology The National Key Laboratory of Equipment State Sensing and Smart Support National University of Defense Technology China Zhejiang University China Jiangxi University of Science and Technology China The T Stone Robotics Institute Department of Mechanical and Automation Engineering The Chinese University of Hong Kong China

In this paper, we introduce a novel image-goal navigation approach, named RFSG. Our focus lies in leveraging the fine-grained connections between goals, observations, and the environment within limited image data, all the while keeping the navigation architecture simple and lightweight. To this end, we propose the spatial-channel attention mechanism, enabling the network to learn the importance of multi-dimensional features to fuse the goal and observation features. In addition, a self-distillation mechanism is incorporated to further enhance the feature representation capabilities. Given that the navigation task needs surrounding environmental information for more efficient navigation, we propose an image scene graph to establish feature associations at both the image and object levels, effectively encoding the surrounding scene information. Cross-scene performance validation was conducted on the Gibson and HM3D datasets, and the proposed method achieved state-of-the-art results among mainstream methods, with a speed of up to 53.5 frames per second on an RTX3080. This contributes to the realization of end-to-end image-goal navigation in real-world scenarios. The implementation and model of our method have been released at: https://***/nubot-nudt/RFSG. Copyright © 2025, The Authors. All rights reserved.

关键词： Image enhancement

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When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference

When Neural Code Completion Models Size up the Situation: At...

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International Conference on Software engineering (ICSE)

作者： Zhensu Sun Xiaoning Du Fu Song Shangwen Wang Li Li Beihang University Beijing China Monash University Melbourne Victoria Australia State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China National University of Defense Technology Changsha China Beijing Yunnan Key Laboratory of Software Engineering Beihang University China

ISBN: (数字)9798400702174

ISBN: (纸本)9798350382143

Leveraging recent advancements in large language models, modern neural code completion models have demonstrated the capability to generate highly accurate code suggestions. However, their massive size poses challenges in terms of computational costs and environmental impact, hindering their widespread adoption in practical scenarios. Dynamic inference emerges as a promising solution, as it allocates minimal computation during inference while maintaining the model's performance. In this research, we explore dynamic inference within the context of code completion. Initially, we conducted an empirical investigation on GPT-2, focusing on the inference capabilities of intermediate layers for code completion. We found that 54.4% of tokens can be accurately generated using just the first layer, signifying significant computational savings potential. Moreover, despite using all layers, the model still fails to predict 14.5% of tokens correctly, and the subsequent completions continued from them are rarely considered helpful, with only a 4.2% Acceptance Rate. These findings motivate our exploration of dynamic inference in code completion and inspire us to enhance it with a decision-making mechanism that stops the generation of incorrect code. We thus propose a novel dynamic inference method specifically tailored for code completion models. This method aims not only to produce correct predictions with largely reduced computation but also to prevent incorrect predictions proactively. Our extensive evaluation shows that it can averagely skip 1.7 layers out of 16 layers in the models, leading to an 11.2% speedup with only a marginal 1.1 % reduction in ROUGE- L.

关键词： Codes Accuracy Computational modeling Decision making Focusing Predictive models Dynamic scheduling

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Effect of Biodegradable Microplastics and Cd Co-Pollution on Cd Bioavailability and Plastisphere in Soil-Plant System

SSRN

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SSRN 2024年

作者： Shao, Xuechun Shen, Cheng Peng, Cheng Gong, Kailin Qiao, Zhihua Zhang, Wei State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resource and Environmental Engineering East China University of Science and Technology Shanghai200237 China State Environmental Protection Engineering Center for Urban Soil Contamination Control and Remediation Shanghai Academy of Environmental Sciences Shanghai200233 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

Biodegradable plastics (BPs) are regarded as ecomaterials and are emerging as a substitute for traditional non-degradable plastics. However, the information on the interaction between biodegradable microplastics (BMPs) and cadmium (Cd) in agricultural soil is still limited. Here, lettuce plants were cultured in BMPs (polylactic acid (PLA) MPs and poly(butylene-adipate-co-terephthalate) (PBAT) MPs) and Cd co-polluted soil for 35 days. The results show that diffusive gradient in thin films technique (DGT) but not diethylenetriaminepentaacetic acid (DTPA) extraction method greatly improved the prediction reliability of Cd bioavailability in non-rhizosphere soil treated with BMPs (R2 = 0.860). BMPs increased the Cd bioavailability in non-rhizosphere soil indirectly by decreasing soil pH, cation exchange capacity (CEC), and dissolved organic carbon (DOC), rather than by directly adsorbing Cd on their surface. PLA MPs incubated in rhizosphere soil showed more considerable degradation with extremely obvious cavities and the fracture of ester functional groups on their surface than PBAT MPs. BMPs could provide ecological niches to colonize and induce microorganisms associated with BMPs’ degradation to occupy a more dominant position. In addition, Cd only affected the composition and function of microbial communities in soil but not on BMPs. However, co-exposure to BMPs and Cd significantly reduced the degrees of co-occurrence network of fungal communities on PLA MPs and PBAT MPs by 37.7% and 26.7%, respectively, compared to single exposure to BMPs. © 2024, The Authors. All rights reserved.

关键词： Cadmium

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Konjac Glucomannan/Γ-Feooh Hydrogel with Rich Pore Structure for Photo-Assisted Uranium Extractionfrom Carbonate-Contained Wastewater

SSRN

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SSRN 2023年

作者： Wu, Xudong He, YiZhou Li, Huiming Yang, Guolin He, Rong Chen, Tao Zhu, Wenkun State Key Laboratory of Environment-friendly Energy Materials National Co-innovation Center for Nuclear Waste Disposal and Environmental Safety Sichuan Civil-military Integration Institute School of Life Science and Engineering School of National Defense of Science and Technology Southwest University of Science and Technology Mianyang621010 China National Synchrotron Radiation Laboratory Research Center Taiwan

Photo-assisted uranium extraction from carbonate-contained wastewater offers a promising solution to mitigate the strong complexation between carbonate anions and uranyl ions. In our study, we synthesized a novel Konjac glucomannan (KGM)/γ-FeOOH composite photocatalytic hydrogel through in-situ γ-FeOOH formation within a KGM solution. Compared to traditional powdered photocatalysts, the KGM/γ-FeOOH porous hydrogel boasts an abundant porous structure and excellent mechanical properties, ensuring enhanced cyclic recovery stability. The uranium removal rate of KGM/γ-FeOOH porous hydrogel in uranium wastewater without carbonate ions was more than 90 %, and even in the presence of carbonate ions, its uranium removal efficiency remained at 79 %, which was significantly better than that of non-porous KGM/γ-FeOOH hydrogel (30 %). Mechanistic studies showed that the KGM/γ-FeOOH porous hydrogel effectively captured the dissociated uranyl ions through the abundant oxygen-containing functional groups on KGM and γ-FeOOH, and subsequently achieved the conversion of uranium to UO2 with the participation of active species such as electrons (e-). In conclusion, our approach provides a strategy for treating uranium-contaminated wastewater with great potential for water purification applications. © 2023, The Authors. All rights reserved.

关键词： Hydrogels

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Computer transient simulation for dual in-line package through finite element analysis and ANASYS software 3

Computer transient simulation for dual in-line package throu...

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3rd International Conference on Electrical, Communication and Computer engineering, ICECCE 2021

作者： Su, Wei Luo, Wenhao Dong, Xianshan Chen, Si Tomar, Agam Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China MOE Key Lab of Disaster Forecast and Control in Engineering Guangzhou China School of Mechanics and Construction Engineering Jinan University Guangzhou China Faculty of Engineering and Mathematical Sciences University of Western Australia Australia

The reliability of the DIP package is studied by numerical simulation. Firstly, the DIP package, fixture and metal steel are modeled. Based on this, variable thickness papers are laid on the sample. According to the experiment, corresponding excitation and boundary condition are set. Then, the transient analysis result of DIP package is obtained through numerical simulation. The results show the relation of different thickness papers and acceleration-time curve, which provides a beneficial reference for the optimization of DIP packing. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Transient analysis

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