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SSRN 2024年

作者： Li, Xueai Jin, Kexin Qu, Xiangyan Shi, Yuning Wang, Chunsheng Guo, Wanchun Tian, Kesong Wang, Yahui Wang, Haiyan State Key Laboratory of Metastable Materials Science and Technology Hebei Key Laboratory of Heavy Metal Deep-Remediation in Water and Resource Reuse School of Environmental and Chemical Engineering Yanshan University Hebei Qinhuangdao066004 China School of Vehicle and Energy Yanshan University Hebei Qinghuangdao066004 China State Key Laboratory of Pulsed Power Laser Technology College of Electronic Engineering National University of Defense Technology Hefei230037 China

Magnetic metallic particles are valuable candidates as microwave absorbing materials owing to their unique electromagnetic properties. The dispersion of diverse magnetic metallic in micro/nanostructures of a single particle plays an important role in microwave absorption;however, its contribution is not clear due to the challenge of controllable synthesis of magnetic bimetallic nanoparticles in one micro/nanostructure. Herein, magnetic bimetallic nanoparticles separately confined growth in a hollow multi-shell microsphere provides a kind of microwave absorbing materials as a theoretical model to elucidate magnetic coupling effect on electromagnetic attenuation. Multi-shell hollow microspheres with hierarchical structure including void@Fe@SiO2/Co/C and void@Fe@SiO2/Ni/C were prepared by step-by-step deposition and subsequent pyrolysis. The synergistic effect of between microstructure and materials effectively enhance the electromagnetic attenuation ability in void@Fe@SiO2/Co/C particles, achieving excellent microwave absorption performance with strong reflection loss of -62.3 dB at a thickness of 2.05 mm and broad bandwidth response (RL≤-10 dB) of 7.04 GHz at a thickness of 2.44 mm. These findings can provide guidance for the designation of novel magnetic broadband microwave absorbing materials. © 2024, The Authors. All rights reserved.

关键词： Microspheres

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Uncertainty pattern in landslide susceptibility prediction modelling:Effects of different landslide boundaries and spatial shape expressions

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Geoscience Frontiers 2022年第2期13卷 62-77页

作者： Faming Huang Jun Yan Xuanmei Fan Chi Yao Jinsong Huang Wei Chen Haoyuan Hong School of Civil Engineering and Architecture Nanchang UniversityNanchang 330031China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengduSichuan 610059China Discipline of Civil Surveying and Environmental EngineeringPriority Research Centre for Geotechnical Science and EngineeringUniversity of NewcastleNSWAustralia College of Geology&Environment Xi'an University of Science and TechnologyXi'an 710054China Department of Geography and Regional Research University of ViennaViennaAustria

In some studies on landslide susceptibility mapping(LSM),landslide boundary and spatial shape characteristics have been expressed in the form of points or circles in the landslide inventory instead of the accurate polygon *** expressions of landslide boundaries and spatial shapes may lead to substantial differences in the distribution of predicted landslide susceptibility indexes(LSIs);moreover,the presence of irregular landslide boundaries and spatial shapes introduces uncertainties into the *** address this issue by accurately drawing polygonal boundaries based on LSM,the uncertainty patterns of LSM modelling under two different landslide boundaries and spatial shapes,such as landslide points and circles,are *** the research area of Ruijin City in China,a total of 370 landslides with accurate boundary information are obtained,and 10 environmental factors,such as slope and lithology,are ***,correlation analyses between the landslide boundary shapes and selected environmental factors are performed via the frequency ratio(FR)***,a support vector machine(SVM)and random forest(RF)based on landslide points,circles and accurate landslide polygons are constructed as point-,circle-and polygon-based SVM and RF models,respectively,to address ***,the prediction capabilities of the above models are compared by computing their statistical accuracy using receiver operating characteristic analysis,and the uncertainties of the predicted LSIs under the above models are *** results show that using polygonal surfaces with a higher reliability and accuracy to express the landslide boundary and spatial shape can provide a markedly improved LSM accuracy,compared to those based on the points and ***,a higher degree of uncertainty of LSM modelling is present in the expression of points because there are too few grid units acting as model input ***,the expression of the landslide boundary as circl

关键词： Landslide boundary Landslide susceptibility mapping Machine learning Uncertainty analysis Frequency ratio

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RESEARCH ON THE MATURITY ASSESSMENT METHOD OF INTELLIGENT PHM FOR GROUNDWATER CIRCULATION WELL 13

RESEARCH ON THE MATURITY ASSESSMENT METHOD OF INTELLIGENT PH...

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13th International Conference on Quality, reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2023

作者： Yang, Bingrui Zhang, Lianjie Yang, Ruifeng Miao, Zhu Wang, Peng Pu, Shengyan Xu, Huyang State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu China College of Ecology and Environment Chengdu University of Technology Chengdu China College of Management Science Chengdu University of Technology Chengdu China BCEG Environmental Remediation Co. Ltd. National Engineering Laboratory for Site Remediation Technologies Beijing China Beijing GeoEnviron Engineering and Technology Inc. Beijing China

ISBN: (纸本)9781839539848

GCW system is one of the hot research objects of in-situ remediation of contaminated groundwater. However, the system will be difficult to maintain if there is a failure during underground operation. The uncertainty of the source of the failure will make it more difficult to perform maintenance on the system, which will delay the remediation process. Therefore, a method that can diagnose or predict system failures in a timely manner is needed. Based on RPL, this study designs an intelligent PHM system to predict potential failures of GCW systems based on the relationship between performance degradation and failure time of GCW systems. And the maturity of the intelligent PHM system is evaluated into 5 levels, and 15 maturity evaluation factors in 4 dimensions are proposed. The maturity model and its application process are obtained. This modeling method provides ideas for decision-makers and managers to carry out early maintenance, and estimate its development level in related fields. © The Institution of engineering & technology 2023.

关键词： Groundwater

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Life Prediction of the Delaminations of SiP Based on Physics-of-Failure

Life Prediction of the Delaminations of SiP Based on Physics...

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System reliability and Safety engineering (SRSE), International Conference on

作者： Jianan Zhang Ying Chen Shumin Li Yingyi Li Science and Technology on Reliability and Environmental Engineering Laboratory Beihang University Beijing China Ship Development and Design Center China State Shipbuilding Corporation Limited Wuhan China

The development of SiP chips has driven the lightweight trend in electronics, but it also brings new reliability issues, especially package delamination caused by compound stress. This paper proposes a method for predicting the layered lifetime of SiP chip packaging based on physics-of-failure model. Taking an energy SiP module and its key components as an example, this paper analyzes the mechanism and influencing factors of package layering failure in different parts of SiP chip during reflow welding process and use. Through physics-of-failure model, the life of SiP chip in packaging layering process and reflow welding process is predicted. This research is of great significance for identifying weak points in SiP chip and the improvement of the design method.

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HP-KPConv: Point Cloud Registration Evaluation via Local Feature Distribution Similarity

HP-KPConv: Point Cloud Registration Evaluation via Local Fea...

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IEEE International Conference on Robotics and Biomimetics

作者： Yaling Pan Li He Yisheng Guan Hong Zhang Ministry of Industry and Information Technology Key Laboratory of Quality and Reliability Engineering Technology of Civil Aircraft and Aero-Engine Chinese Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China Biomimetic and Intelligent Robotics Lab (BIRL) Guangdong University of Technology Guangzhou China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

ICP is one of the most popular solutions for point cloud registration. However, the evaluation metric of the ICP algorithm, based on point-wise Euclidean distances, falls short in meeting the demands of high-precision alignment. In this paper, we propose a point cloud registration evaluation method based on local feature distribution to assess alignment quality, in particular the translation errors among matched point clouds. Rather than comparing the point-to-point Euclidean distance as adopted in ICP, our main idea is that the spatial distribution of one local region pre- and post-alignment should be similar. We design a filter to calculate local region similarity and find out outliers according to the similarity. This high-precision filter is integrated into the KPConv network, denoted as HP-KPConv. Finally, after conducting extensive experiments on Dingo robots and LiDAR, we validate the ability of HP-KPConv to effectively detect subtle alignment errors, proving its applicability in robot localization evaluations.

关键词： Point cloud compression Measurement Matched filters Graphical models Translation Robot localization Trajectory Quality assessment Robots Distribution functions

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Process risk prioritization of metalorganic chemical vapor deposition device 32nd

Process risk prioritization of metalorganic chemical vapor d...

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32nd European Safety and reliability Conference, ESREL 2022

作者： Liu, Xuan Meng, Huixing Yao, Weizhen Liu, Xianglin Zhang, Chao State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing100081 China Key Laboratory of Semiconductor Materials Science Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Beijing CASIntruments Semiconductor Technology Co. Ltd. Beijing100192 China Environmental Engineering Department Sinopec Engineering Incorporation Beijing100101 China

ISBN: (纸本)9789811851834

The metal-organic chemical vapor deposition (MOCVD) device is indispensable in the semiconductor manufacturing industry. The process risk prioritization is beneficial to secure the safe operations of MOCVD. To find out the weakness of the device, the hazard and operability (HAZOP) study can be used to assess the process risk of MOCVD. In this paper, to identify the crucial components and associated hazards, we introduce a hybrid method by integrating HAZOP and the interval analytical hierarchy process (IAHP) to prioritize the hazards for decision-makers. Firstly, we employ HAZOP to identify the failure causes and consequences of deviations. Then we conduct IAHP to prioritize the risk of MOCVD to identify the priority for the hazards with the same risk priority number (RPN). The combination valve section before the reactor of MOCVD is analyzed as the case study. The obtained results from the HAZOP analysis can support the lifecycle risk management of MOCVD. © 2022 ESREL2022 Organizers. Published by Research Publishing, Singapore.

关键词： Metallorganic chemical vapor deposition

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The Semi-Double DQN Resource Optimization Strategy for UAV Aided Networks: A Case Study

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IEEE Transactions on Aerospace and Electronic Systems 2025年第3期61卷 7852-7862页

作者： Chen, Jiamei Lv, Shian Zhang, Tao Wang, Yao Wang, Yupeng Shenyang Aerospace University Department of Electrical and Information Engineering Liaoning Shenyang China Aviation Key Laboratory of Science and Technology on Electromagnetic Environmental Effects Liaoning Shenyang China PLA Army Academy of Artillery and Air Defense Department of Air Defense Forces Noncommissioned Officer Academy Liaoning Shenyang China

The emergence of high-end applications has posed challenges to traditional networks, so the expansion of networks towards density and spatial dimensions has become an inevitable trend. This paper initially establishes a comprehensive framework for a multi-band and ultra-dense network, augmented by unmanned aerial vehicles. In this framework, macro base stations, small micro base stations, and UAV base stations coexist, and both microwave and millimeter wave bands are mined simultaneously. Then, a semi-distributed resource optimization strategy is proposed based on the Semi-Double Deep Q Network (Semi-Double DQN) scheme, where a centralized controller performs the training of Q value and the execution of Q-learning actions is distributed among various base stations to optimize network energy efficiency while ensuring network quality of service. Meanwhile, a perturbation factor is introduced into Semi-Double DQN to avoid it falling into local optima. The simulation results indicate that the proposed SemiDouble DQN scheme solves the Q value overestimation problem in the traditional Deep Q Network, and outperforms the centralized Double Deep Q Network regarding energy efficiency and total throughput © 2025 IEEE.

关键词： Energy efficiency

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Insights into Marine Biofouling: Interaction Mechanism between MoS2 Electrode and Typical Marine Bacteria

SSRN

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SSRN 2024年

作者： He, Yizhou Wu, Xudong Hu, Mao Yang, Guoling He, Rong Chen, Xiaoming Li, Xiaoan Wang, Qing Zhu, Wenkun School of Life Science and Engineering Southwest University of Science and Technology Sichuan Mianyang621010 China State Key Laboratory of Environment-friendly Energy Materials School of National Defence Science & Technology National Collaborative Innovation Center for Nuclear Waste and Environmental Safety Nuclear Waste and Environmental Safety Key Laboratory of Defense Southwest University of Science and Technology Mianyang621010 China Chengdu Institute of Research and Innovation Southwest University of Science and Technology Chengdu610000 China Mianyang621010 China

Electrochemical extraction of uranium from seawater is an attractive technology, but its biofouling problem cause by marine bacteria remains an obstacle for application. This paper investigates the interaction details of marine bacteria and MoS2 electrode with and without the current applying. The results indicate that MoS2 exhibits outstanding resistance to marine bacteria for they can cause lipid peroxidation and even cell lysis. The interaction of bacteria and MoS2 electrode results in microbial biofilm coating and precipitation of minerals. By using the biofilm staining assay, we find that microbial biofilms on the electrode surface can be largely removed by a short-term strong current. Besides, the combine effects of current applying and bacteria coating could stimulate the dissolution of Mo elements in the electrode. Metabolomic analyses reveal changes in glycerophospholipid metabolism, nucleotide metabolism and amino acid metabolism, which imply the raised oxidation-reduction potential cause by oxidative stress may contribute to the Mo dissolution. Our studies will be helpful for the comprehensive understanding of marine biofouling of electrochemical materials. © 2024, The Authors. All rights reserved.

关键词： Molybdenum compounds

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The Review of γ-ray Astronomical Observing Techniques

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Chinese Astronomy and Astrophysics 2021年第3期45卷 281-300页

作者： Si-liang, F.E.N.G. Peng, F.A.N. Yi-fan, H.U. Tian-yu, M.A. Yan, X.I.A. Beijing Institute of Spacecraft Environment Engineering Beijing 100094 National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing 100094 Department of Engineering Physics Tsinghua University Beijing 100084 Key Laboratory of Particle & Radiation Imaging (Tsinghua University) Ministry of Education Beijing 100084

γ-ray is a unique probe for extreme events in the universe. Detecting the γ-ray provides an important opportunity to understand the composition of universe, the evolution of stars, the origin of cosmic rays, etc. γ-ray astronomy involves in various frontier scientific issues, and the observed energy spectrum spans over a wide range from a few hundreds of keV to a few hundreds of TeV. Different γ-ray telescopes are in need for different scientific goals and spectral bands. In this work, 5 kinds of space- and ground-based γ-ray observing techniques were summarized, including the Coded-aperture telescopes, Compton telescopes, Pair-production telescopes, Imaging Atmospheric Cherenkov Telescopes, and Extensive Air Shower Arrays. The progress in γ-ray astronomy in the past 70 years, motivated by the observation capability, was reviewed. Great achievements have been made in the high-energy domain and very-high-energy domain, while because of the limited missions conducted, as well as a lower sensitivity comparing with other domains, discoveries in low- and medium-energy are few, and due to the high observation difficulty, as well as the late start, relevant scientific yields in ultra- and extremely-high energy are limited. Moreover, the future planned missions and capabilities of the γ-ray telescopes and their possible scientific outputs were discussed. Among these missions, low- and medium-energy space telescopes e-ASTROGAM (enhanced-ASTROGAM), AMEGO (All-sky Medium Energy Gamma-ray Observatory), and very-high-energy ground-based arrays LHAASO (Large High Altitude Air Shower Observatory) and CTA (Cherenkov Telescope Array) greatly improve sensitivity than their corresponding last generation, thus expect very likely to further expand our knowledge on the γ-universe. © 2021

关键词： gamma rays: general Instrumentation: detectors Telescopes

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中国实现碳中和路径下气溶胶减少造成的气候影响

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science Bulletin 2023年第9期68卷 902-905,M0004页

作者：杨洋曾靓莹王海龙王品雅廖宏 Joint International Research Laboratory of Climate and Environment Change Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution ControlJiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science and TechnologyNanjing 210044China College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China Atmospheric Sciences and Global Change Division Pacific Northwest National LaboratoryRichland WA 99352USA

中国提出2030年碳达峰与2060年碳中和目标.在达到碳中和的路径下,得益于清洁空气政策气溶胶排放都将显著降低,这可能会对未来气候产生重要影响.本文利用气候模型结合中国本地化的未来排放情景,发现在达到2060年碳中和的过程中气溶胶减... 详细信息

中国提出2030年碳达峰与2060年碳中和目标.在达到碳中和的路径下,得益于清洁空气政策气溶胶排放都将显著降低,这可能会对未来气候产生重要影响.本文利用气候模型结合中国本地化的未来排放情景,发现在达到2060年碳中和的过程中气溶胶减少将在东亚造成0.63 Wm^(-2)的有效辐射强迫以及0.2K的地表增温.最大增温出现在中国东部,为0.5K.同时,华南地区降水将增加(>0.3 mm d^(-1)).尽管碳中和背景下温室气体的减少将有利于缓解气候变化,但是未来清洁空气行动致使气溶胶排放的减少将部分抵消二氧化碳减排带来的气候制冷效应.该研究进一步发现虽然黑碳气溶胶只占中国气溶胶的很少一部分,但降低黑碳排放可能同时有益于空气质量改善并缓解气候变化,达到减污降碳协同增效.

关键词：碳中和二氧化碳减排未来气候气溶胶气候模型温室气体气候变化协同增效

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