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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Qiu, Yanghong Bai, Yunfei Wang, Zheng Unmanned System Research Institute Northwestern Polytechnical University Xi’an China Research Center for Unmanned System Strategy Development Northwestern Polytechnical University Xi’an China National Key Laboratory of Aerospace Flight Dynamics Northwestern Polytechnical University Xi’an China Northwest Institute of Mechanical and Electrical Engineering Xianyang China China Academy of Launch Vehicle Technology Beijing China

ISBN: (纸本)9789819711062

In this paper, the event-triggered mechanism is incorporated into the robust adaptive dynamic programming(RADP) to solve the midcourse guidance problem of the aircraft with nonlinear, coupling, atmospheric disturbance and various uncertainties coupling. Firstly, in order to solve the adverse effects of system uncertainty on the flight guidance process, the ADP is constructed by calculating the current expected trajectory direction through the acquired information of friend or foe, and deducing the expected trajectory declination angle as the tracking target combined with the lateral control model. The problem of unknown value function is solved by introducing neural network. Secondly, in order to reduce the waste of communication resources and computing resources, the event-triggered mechanism is proposed. Guidance law is updated only when the event triggering conditions are met. Finally, the uniformly ultimately boundedness of the tracking error is demonstrated by the Lyapunov method. Furthermore, the effectiveness of the designed controller is validated through simulation examples. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Lyapunov methods

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Automatic Recognition Method of Multi Commodity Image in Internet of Things system Under Noise Interference

Automatic Recognition Method of Multi Commodity Image in Int...

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2021 International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2021

作者： Li, Yuanxi Wuxi Institute of Commerce Wuxi214153 China Jiangsu Research and Development Center of Application Technology for Wireless Sensing System Wuxi214153 China

ISBN: (数字)9781510652170

ISBN: (纸本)9781510652163

Because of the interference of noise, the accuracy of image recognition will decrease. Therefore, an automatic recognition method of multi-commodity image in Internet of Things system is proposed. The local pixel block matching algorithm is used to construct the PCA training sample set, and the principal component analysis is used to model. The model is used to filter the noise of commodity image, and the epipolar constraint is introduced into RANSAC algorithm to ensure the reliability of recognition results. Experimental results show that the proposed method can achieve more than 95% accuracy when the threshold of the noise interference strategy is 30%, which is obviously better than the two comparison methods. © 2022 SPIE.

关键词： Pixels

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Earlier peak photosynthesis timing potentially escalates global wildfires

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National Science Review 2024年第09期11卷 171-180页

作者： Gengke Lai Jialing Li Jun Wang Chaoyang Wu Yongguang Zhang Constantin M.Zohner Josep Pe?uelas Quansheng Ge International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural ResourcesSchool of Geography and Ocean Science Nanjing University The Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Huangshan National Park Ecosystem Field Scientific Observation and Research Station of the Ministry of Education Jiangsu International Joint Carbon Neutrality Laboratory Nanjing University Department of Environmental Systems Science Institute of Integrative BiologyETH Zurich CSIC Global Ecology Unit CREAF-CSIC-UAB CREAF Cerdanyola del Vallès

More intense fire weather due to climate change is implicated as a key driver of recent extreme wildfire events. As fuel stock, the role of vegetation and its phenology changes in wildfire dynamics, however is not fully appreciated. Using long-term satellite-based burned areas and photosynthesis observations, we reveal that an earlier peak photosynthesis timing(PPT) potentially acts to escalate subsequent wildfires, with an increase in the global average burned fraction of 0.021%(～2.20 Mha) for every additional day of PPT advancement. Satellite observations and Earth system modeling consistently show that this fire escalation is likely due to intensified drought conditions and increased fuel availability associated with the climate feedback arising from earlier PPT. Current fire-enabled dynamic global vegetation models can reproduce the observed negative correlation between PPT and burned area but underestimate the strength of the relationship notably. Given the continued PPT advancement owing to climate change, the bioclimatic effects of vegetation phenology change suggest a potentially pervasive upward pressure on future wildfires.

关键词： vegetation photosynthesis phenology wildfire climate feedback Earth system model

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User-level failure detection and auto-recovery of parallel programs in HPC systems

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Frontiers of Computer Science 2021年第6期15卷 31-42页

作者： Guozhen ZHANG Yi LIU Hailong YANG Jun XU Depei QIAN State Key Laboratory of Software Development Environment Beijing 100191China Sino-German Joint Software Institute Beihang UniversityBeijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing 100854China

As the mean-time-between-failures(MTBF)continues to decline with the increasing number of components on large-scale high performance computing(HPC)systems,program failures might occur during the execution period with high *** successful execution of the HPC programs has become an issue that the unprivileged users should be *** the user perspective,if the program failure cannot be detected and handled in time,it would waste resources and delay the progress of program ***,the unprivileged users are unable to perform program state checking due to execution control by the job management system as well as the limited ***,automated tools for supporting user-level failure detection and autorecovery of parallel programs in HPC systems are *** paper proposes an innovative method for the unprivileged user to achieve failure detection of job execution and automatic resubmission of failed *** state checker in our method is encapsulated as an independent job to reduce interference with the user *** addition,we propose a dual-checker mechanism to improve the robustness of our *** implement the proposed method as a tool named automatic re-launcher(ARL)and evaluate it on the Tianhe-2 *** results show that ARL can detect the execution failures effectively on Tianhe-2 *** addition,the communication and performance overhead caused by ARL is *** good scalability of ARL makes it applicable for large-scale HPC systems.

关键词： high performance computing parallel program failure detection failure auto-recovery

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Diesel Exhaust Filtration using Electrostatic Precipitator with Air Distribution Plate

Diesel Exhaust Filtration using Electrostatic Precipitator w...

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2022 International Conference on Power, Energy and Innovations, ICPEI 2022

作者： Tanglukchai, Jirasin Chotchuang, Suradesh Meerasri, Pawinee Fakkheow, Pirapong Cota, Natthawan Suwannajit Pongpaibool, Pornanong Wireless and Intelligent System for Dual-Use Applications Research Division National Security and Dual-Use Technology Center National Science and Technology Development Agency Pathumthani Thailand

ISBN: (数字)9781665460194

ISBN: (纸本)9781665460194

The diesel engine is one of the most popular types of engine that is used in a variety of the ways such as in industrial plants, cars, buses, trucks, etc. The exhaust of a diesel engine, especially old vehicles, consists of particulate matter (PM) and toxic gases that can harm human health. The diesel particulate filter (DPF) is one of the widely used technologies that can reduce PM in the exhaust of a diesel engine. However, the DPF can cause fuel efficiency drop or engine damage due to the DPF blockage. For PM filtration, the electrostatic precipitator (ESP) is an efficient technology that uses electrostatic force to remove PM with low pressure drop and cleanability. Nonetheless, the filtration efficiency of the ESP drops abruptly for ultrafine PM and the high velocity of diesel exhaust. Therefore, this paper proposes an efficiency improvement technique for diesel exhaust filtration using ESP. An air distribution plate is applied to reduce exhaust velocity before entering the ESP that has a larger surface area. The shape and size of the opened area in the proposed air distribution plate are designed and simulated to achieve smooth airflow distribution throughout the ESP. A small-scale prototype is fabricated to investigate the airflow distribution and the filtration efficiency. After the performance confirmation, a full-scale prototype is designed for diesel vehicles. The experiment with a diesel pickup truck illustrates the PM removal efficiency improvement with an average efficiency of 79%. © 2022 IEEE.

关键词： Diesel engines

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research on data assimilation strategy of turbulent separated flow over airfoil

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Applied Mathematics and Mechanics(English Edition) 2022年第4期43卷 571-586页

作者： Ying ZHANG Lin DU Weiwei ZHANG Zichen DENG National Key Laboratory of Science and Technology on Aerodynamic Design and Research School of AeronauticsNorthwestern Polytechnical UniversityXi'an 710072China Complex System Dynamics and Control Academic Exchange Center School of Mathematics and StatisticsNorthwestern Polytechnical UniversityXi'an 710119China Rotor Aerodynamics Key Laboratory China Aerodynamics Research and Development CenterMianyang 621000Sichuan ProvinceChina

In order to increase the accuracy of turbulence field reconstruction,this paper combines experimental observation and numerical simulation to develop and establish a data assimilation framework,and apply it to the study of S809 low-speed and high-angle airfoil *** method is based on the ensemble transform Kalman filter(ETKF)algorithm,which improves the disturbance strategy of the ensemble members and enhances the richness of the initial members by screening high flow field sensitivity constants,increasing the constant disturbance dimensions and designing a fine disturbance *** results show that the pressure distribution on the airfoil surface after assimilation is closer to the experimental value than that of the standard Spalart-Allmaras(S-A)*** separated vortex estimated by filtering is fuller,and the eddy viscosity field information is more abundant,which is physically consistent with the observation ***,the data assimilation method based on the improved ensemble strategy can more accurately and effectively describe complex turbulence phenomena.

关键词： turbulence data assimilation ensemble disturbance strategy large angle of attack separation ensemble transform Kalman filter(ETKF)

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A 180-Degree Phase Difference Output of Wilkinson Power Divider Using Microstrip Parallel Coupled Lines 6

A 180-Degree Phase Difference Output of Wilkinson Power Divi...

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6th International Conference on Power, Energy and Innovations, ICPEI 2024

作者： Phanomupatum, Pratya Phromloungsri, Ravee Tama, Rachata Pongthavornkamol, Tiwat Wongpatsa, Decha Sonasang, Somchat Nakhon Phanom University Faculty Industrial Technology Department of Electronics Nakhon Phanom Thailand Udon Thani Rajabhat University Computer and Communication Engineering Faculty of Technology Udon Thani Thailand National Electronic and Computer Technology Center National Science and Technology Development Agency Location and Automatic Identification System Research Team Communication and Network Research Group Pathumthani Thailand Faculty Industrial Technology Nakhon Phanom Thailand

ISBN: (纸本)9798350356779

The design of a 180° output phase difference Wilkinson power divider for L-band applications is detailed in this article. The Wilkinson power is generated through the utilization of the parallel coupler's phase shifter. To showcase the potential of the suggested power divider, an FR4 microwave substrate is fabricated with a narrow band of 1.6 GHz to accommodate radio astronomy systems. The insertion loss, return loss, and isolation loss for the power divider's difference phase are accurately simulated at the operational frequency. © 2024 IEEE.

关键词： Radio astronomy

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Multifunction integration within magnetic CNT-bridged MXene/CoNi based phase change materials

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eScience 2024年第6期4卷 108-117页

作者： Yan Gao Xiao Chen Xu Jin Chenjun Zhang Xi Zhang Xiaodan Liu Yinhui Li Yang Li Jinjie Lin Hongyi Gao Ge Wang Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory of Function Materials for Molecule&Structure ConstructionSchool of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China School of Physics and Astronomy Beijing Normal UniversityBeijing 100875China Research Institute of Petroleum Exploration&Development PetroChinaBeijing 100083China Micro-Nano System Research Center College of Information and Optical EngineeringTaiyuan University of TechnologyTaiyuanShanxi 030024China Shunde Graduate School University of Science and Technology BeijingShunde 528399China

Developing advanced nanocomposite phase change materials(PCMs)integrating zero-energy thermal management,microwave absorption,photothermal therapy and electrical signal detection can promote the leapfrog development of flexible wearable electronic *** this goal,we propose a multidimensional collaborative strategy combining two-dimensional(2D)MXene nanosheets with metal-organic framework-derived onedimensional(1D)carbon nanotubes(CNTs)and zero-dimensional(0D)metal *** encapsulating paraffin wax(PW)in three-dimensional(3D)networked multidimensional MXene/CoNi-C,the resulting composite PCMs exhibit excellent thermal energy storage capacity and long-term thermally reliable *** from the synergistically enhanced photothermal effects of CNTs,Co/Ni nanoparticles and MXene,PW@MXene/CoNi-C can capture photons efficiently and transfer phonons quickly,yielding an ultrahigh photothermal conversion and storage efficiency of 97.5%.Additionally,PW@MXene/CoNi-C composite PCMs exhibit high microwave absorption with a minimum reflection loss of -49.3 dB at 8.03 GHz in heat-related electronic application *** attractively,the corresponding flexible phase change film can simultaneously achieve thermal management and electromagnetic shielding of electronic devices,as well as photothermal therapy and electrical signal detection for *** functional integration design provides an important reference for developing advanced flexible multifunctional wearable materials and devices.

关键词： Phase change materials Metal-organic frameworks Two-dimensional MXene Photothermal conversion Thermal energy storage Microwave absorption

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Spatial-temporal variation and attribution of salinization in the Yellow River Basin from 2015 to 2020

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International Journal of Digital Earth 2023年第1期16卷 446-463页

作者： Hong Mengmeng Wang Juanle Han Baomin State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China Shandong University of Technology ZiboPeople’s Republic of China Jiangsu Collaborative Innovation Center for Geographic Information Resources Development and Utilization NanjingPeople’s Republic of China

Under the pressure of SDG15.3.1 compliance,it is imperative to solve the land salinization degradation problem in the Yellow River Basin as China’s *** the view of geographical scale,six zoning units were divided in the Yellow River Basin with‘climate-meteorology-geomorphology’as the main controlling factor,and a salinization inversion model was constructed for each zoning *** surface parameters were selected to construct a three-dimensional feature space according to the individual geographical *** on the cloud data processing capability of the Google Earth Engine platform,a feature space inversion process was applied for automatic inversion of *** distribution maps of the Yellow River Basin in 2015 and 2020 were obtained at 30 m resolution by classifying the salinization inversion *** distribution and spatiotemporal variation of salinization as well as the causes of salinization were *** prevention and control suggestions were subsequently *** study could also be scaled up to larger and more complex geographical regions.

关键词： Salinization land degradation Yellow River Basin Google Earth Engine feature space sustainable development goals 15

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MBTDiff: Multi-segmentation Brain Tumor Model with Diffusion Probabilistic Model 9

MBTDiff: Multi-segmentation Brain Tumor Model with Diffusion...

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9th International Conference on Image, Vision and Computing, ICIVC 2024

作者： Zeng, Shuqi Liu, Jun Xu, Ji Luo, Yuan School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China Key Laboratory of Biomarkers and In Vitro Diagnosis Translation Zhejiang province Hangzhou China Hubei Engineering Research Center for Intelligent Digital Technology in New Power System Hubei Central China Technology Development of Electric Power Co. Ltd Wuhan China

ISBN: (纸本)9798350385991

The diffusion probability model has recently garnered remarkable achievements in image generation, emerging as a prominent research focus within computer vision. It has been observed through numerous studies that the diffusion probability model holds potential for application across various domains within computer vision. Drawing inspiration from these models, we present a novel approach to extend their utility to the realm of brain tumor medical image segmentation. Our method entails training the model utilizing a diffusion framework, followed by iterative refinement of segmentation outcomes by incorporating additional encoding layers and decoders. This method employs an end-to-end training approach without relying on pre-trained backbone networks. Given the probabilistic nature of the results generated by the diffusion model and to simulate the actual decision-making process of doctors, we will generate multiple segmentation results and apply denoising techniques to obtain a stable output. These results will then be integrated into the final segmentation map to achieve more precise segmentation. © 2024 IEEE.

关键词： Image segmentation

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