检索结果-内蒙古大学图书馆

SSRN 2023年

作者： Peng, Siyuan Yang, Yue Luo, Dengnan Zeng, Xiang Liang, Minqi Tao, Long Zhang, Guangru Li, Pan Liao, Weijie Guo, Qun Cao, Ruochen Li, Yuzhe Zhang, Weirong Hu, Zhongmin School of Geography South China Normal University Shipai Campus Guangzhou510631 China Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation School of Ecology and Environment Hainan University Haikou570228 China Center for Eco-Environment Restoration Engineering of Hainan Province Hainan University Haikou570228 China Facility of Geographical Science Beijing Normal University Beijing100875 China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Zhuhai519087 China School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Guangdong Zhuhai510245 China Key Lab of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing101408 China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Jiangsu210023 China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Jiangsu210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

Accurately quantifying spatiotemporal variations in evapotranspiration (ET) and its components on Tibetan Plateau (TP) is crucial for understanding the regional water cycle and energy balance. However, the determinant of spatial variations in ET and its component processes in grassland ecosystems of TP remain unclear. In this study, we used 14 sites observation data and applied Shuttleworth-Wallace-Hu (SWH) model to investigate the spatial relationships between ET, its components, and influencing factors. Our results highlighted the good performance of SWH model. There were corresponding drops in ET on alpine meadow and on alpine steppe. And the ratio of ET and precipitation (ET/PPT) of most sites was less than 1 in alpine meadow. Furthermore, the ratio of transpiration (T) and ET (T/ET) in alpine meadow generally exceeded that in alpine steppe. PPT emerged as the primary driver of interannual spatial variations in ET, while LAI played a crucial role in regulating T/ET. Our results further demonstrated that in the grassland ecosystem of TP, as the aridity index increased, the ET gradually transitioned from being primarily influenced by water supply to energy demand. This transition occurred at an aridity index of 0.73 approximately. The results of this study imply that in the context of global warming, with aridity index in TP decreasing, the ET of more ecosystems will shift from energy-led to water-led. Such findings are of immense significance in enhancing our understanding of the intricate interactions of the water cycle between land and the atmosphere. © 2023, The Authors. All rights reserved.

关键词： Water supply

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Periodic oscillation of memristor-based recurrent neural networks with time-varying delays and leakage delays

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International Journal of Intelligent Computing and Cybernetics 2018年第3期11卷 342-352页

作者： Changjin Xu Peiluan Li Guizhou Key Laboratory of Economics System Simulation Guizhou University of Finance and EconomicsGuiyangChina School of Mathematics and Statistics Henan University of Science and TechnologyLuoyangChina

Purpose–The purpose of this paper is to investigate the existence and global exponential stability of periodic solution of memristor-based recurrent neural networks with time-varying delays and leakage ***/methodology/approach–The differential inequality theory and some novel mathematical analysis techniques are ***–A set of sufficient conditions which guarantee the existence and global exponential stability of periodic solution of involved model is *** implications–It plays an important role in designing the neural ***/value–The obtained results of this paper are new and complement some previous *** innovation of this paper concludes two aspects:the analysis on the existence and global exponential stability of periodic solution of memristor-based recurrent neural networks with time-varying delays and leakage delays is first proposed;and it is first time to establish the sufficient criterion which ensures the existence and global exponential stability of periodic solution of memristor-based recurrent neural networks with time-varying delays and leakage delays.

关键词： Time-varying delay Leakage delay Global exponential stability Memristor-based recurrent neural networks

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Design of High-Gain Cavity-Backed Planar Spiral Antenna Based on Arc-Shaped Metasurface

Design of High-Gain Cavity-Backed Planar Spiral Antenna Base...

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Jian-yi Chu Lin Peng Jing Ma Bin Shi Yan-ru Hua Zhi-peng Li Xing Jiang Si-min Li Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin University of Electronic Technology Guilin Guangxi China Science and Technology on special system simulation laboratory Beijing Simulation Center Beijing China

A high-gain cavity-backed planar spiral antenna based on arc-shaped metasurface (ASM) is proposed and designed. The unidirectional beam of the Archimedean planar spiral antenna (ASA) is achieved by loading the λ/4-distance metal reflector back cavity. A metasurface consisted of arc-shaped unit cells is located at 28mm above the spiral. The simulated results indicate that the impedance bandwidth of the proposed antenna is 4.53-8.29GHz and the axial ratio bandwidth of 3dB is 5.33-8.29GHz. The gain of the cavity-backed planar spiral antenna is increased by dBi in the frequency band 4.5-6.25GHz due to the proposed ASM, and the proposed antenna presents a peak gain of 12.67 dBi at 5.5GHz.

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Design of Dynamically Tunable Broadband Polarization Converter in Terahertz Frequency Based on Graphene Strips

Design of Dynamically Tunable Broadband Polarization Convert...

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Tian-Cheng Zheng Lin Peng Xiao Liu Jing Ma Bin Shi Zhi-Hua Zhao Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin University of Electronic Technology Guilin Guangxi China Science and Technology on special system simulation laboratory Beijing Simulation Center Beijing China

A dynamically tunable polarization converter has been proposed in this paper, which has a multi-layer structure consisting of an orthogonal cross metallic, graphene strips, spacer substrate and a gold back ground layer. In this paper, the proposed polarization converter can transform the linear polarization incident waves into its cross polarization in reflection mode in terahertz (THz) frequency within an ultra-wideband, and the polarization conversion ratio (PCR) of the proposed structure has over 97% from 4.1 THz to 7.1 THz. Furthermore, by adjusting the chemical potential (or Fermi energy) of the graphene strips, the operating frequency band can be changed dynamically.

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GLOBAL OCEANS

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BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 2022年第8期103卷 S149-S191页

作者： Johnson, G. C. Lumpkin, R. NOAA/OAR Pacific Marine Environmental Laboratory Seattle Washington NOAA/OAR Atlantic Oceanographic and Meteorological Laboratory Miami Florida NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NASA Goddard Space Flight Center Greenbelt Maryland and Morgan State University Baltimore Maryland College of Marine Science University of South Florida St. Petersburg Florida International Center for Climate and Environment Sciences Institute of Atmospheric Physics Chinese Academy of Sciences Beijing Department of Earth Environmental and Planetary Sciences Brown University Providence Rhode Island National Oceanography Centre NASA Goddard Space Flight Center Greenbelt Maryland School of Earth and Atmospheric Sciences Georgia Institute of Technology Atlanta NASA Goddard Space Flight Center Greenbelt Maryland and Science Systems and Application Inc. Lanham Maryland Science Systems and Applications Inc. Hampton Virginia Scripps Institution of Oceanography University of California San Diego La Jolla California Jet Propulsion Laboratory California Institute of Technology Pasadena California Met Office Hadley Centre Exeter Australian Antarctic Program Partnership Institute for Marine and Antarctic Studies and Australian Research Council Centre of Excellence for Climate Extremes University of Tasmania Hobart Tasmania NOAA/NWS NCEP Climate Prediction Center College Park Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina National Oceanography Centre Liverpool Rosenstiel School of Marine and Atmospheric Science University of Miami Miami Florida Japan Meteorological Agency Tokyo Cooperative Institute for Marine and Atmospheric Studies University of Miami and NOAA/OAR Atlantic Oceanographic and Meteorological Laboratory Miami Florida currently at Direction Générale de l’Armement Ingénierie des projets Paris NOAA/NWS NCWCP Laboratory for Satellite Altimetry College Park Maryland Cooperative Institute

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Modular Design of A Radial Scalled Hall Thruster for Different Magnetic Configurations

Modular Design of A Radial Scalled Hall Thruster for Differe...

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2019 IEEE Pulsed Power and Plasma science, PPPS 2019

作者： Olano, A. Tang, H. Ren, J. Zhang, G. Li, J. Key Lab. of Spacecraft Design Optimization Dynamic Simulation Technologies of Ministry of Education School of Astronautics Beihang University Beijing100191 China Key Lab. of Spacecraft Design Optimization Dynamic Simulation Technologies of Ministry of Education School of Space and Environment Beihang University Beijing100191 China Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou Institute of Physics Lanzhou730000 China

ISBN: (纸本)9781538679692

A 100 W radial scaled Hall Thruster has been designed and manufactured using as reference design the D-55 thruster with anode layer (TAL). The magnetic field required is provided by permanent magnets following a modular design in order to compare three different magnetic field configurations: A) nominal, B) orthogonal magnetic field and C) high magnetic field. In Hall Thrusters the magnetic field is used to confine the electrons and create highly ionized plasma. Configuration A and configuration B were chosen to compare two different topographies of the magnetic field with two different magnetic field gradients and to study their influence in the plasma discharge and thruster performance. Both configurations where derived assuming Bohm diffusion as the dominant process in the plasma discharge. If instead of Bohm diffusion it is considered electron-wall collisions as main mechanism in the electron transport then a higher magnetic field is required and in consequence configuration C was designed. These three configurations are intended to provide a better understanding of the influence of the magnetic field in the thruster discharge. © 2019 IEEE.

关键词： Magnetic fields

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HRPGAN: A GAN-based Model to Generate High-resolution Remote Sensing Images 7

HRPGAN: A GAN-based Model to Generate High-resolution Remote...

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7th Annual International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2019

作者： Sun, Hai Wang, Ping Chang, Yifan Qi, Li Wang, Hailei Xiao, Dan Zhong, Cheng Wu, Xuelian Li, Wenbo Sun, Bingyu Co.Ltd Shanghai China Department of Airborne Remote Sensing National Disaster Reduction Center of China Beijing China Institute of Technology Innovation Hefei Institute of Physical Science Chinese Academy of Sciences Hefei China Third Research Institute of the Ministry of Public Security Shanghai China Guizhou Key Laboratory of Economics System Simulation Guizhou University of Finance and Economics Guiyang China Beijing Aerospace Flight Control Center Beijing China Institute of Intelligent Machines Chinese Academy of Sciences Hefei China

Generative adversarial networks (GAN) has been mainly used in the generation of natural images such as MNIST, CIFAR10 as well as Imagenet datasets and achieves satisfying generation results. However, GAN always fails in generating high quality high-resolution remote sensing images because remote sensing images are large in size and have various ground objects. To address this issue, a novel framework called High-Resolution PatchGAN (HRPGAN) is introduced in this paper. The structure of HRPGAN follows PatchGAN, but the batch normalization layers are removed and the ReLU activation is replaced by the SELU activation. In addition, a new loss function consisting of the adversarial loss, perceptual reconstruction loss and regularization loss is used in HRPGAN. Experiment results show that the proposed HRPGAN model generates the more diverse and lifelike images in HR remote sensing generation than Bicubic method and TGAN model. © Published under licence by IOP Publishing Ltd.

关键词： Chemical activation

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A global soil spectral grid based on space sensing

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science of the Total Environment 2025年 968卷 178791页

作者： Demattê, José A.M. Rizzo, Rodnei Rosin, Nícolas Augusto Poppiel, Raul Roberto Novais, Jean Jesus Macedo Amorim, Merilyn Taynara Accorsi Rodriguez-Albarracín, Heidy Soledad Rosas, Jorge Tadeu Fim Bartsch, Bruno dos Anjos Vogel, Letícia Guadagnin Minasny, Budiman Grunwald, Sabine Ge, Yufeng Ben-Dor, Eyal Gholizadeh, Asa Gomez, Cecile Chabrillat, Sabine Francos, Nicolas Fiantis, Dian Belal, Abdelaziz Tsakiridis, Nikolaos Kalopesa, Eleni Naimi, Salman Ayoubi, Shamsollah Tziolas, Nikolaos Das, Bhabani Sankar Zalidis, George Francelino, Marcio Rocha Mello, Danilo Cesar de Hafshejani, Najmeh Asgari Peng, Yi Ma, Yuxin Coblinski, João Augusto Wadoux, Alexandre M.J.-C. Savin, Igor Malone, Brendan P. Karyotis, Konstantinos Milewski, Robert Vaudour, Emmanuelle Wang, Changkun Salama, Elsayed Said Mohamed Shepherd, Keith D. Department of Soil Science Luiz de Queiroz College of Agriculture University of São Paulo São Paulo Piracicaba Brazil University of São Paulo Brazil Sydney Institute of Agriculture & School of Life and Environmental Sciences The University of Sydney Australia Department of Soil Water and Ecosystem Sciences University of Florida United States Department of Biological Systems Engineering University of Nebraska-Lincoln LincolnNE68583 United States Department of Geography Porter School of Environmental and Earth Sciences Faculty of Exact Science Tel Aviv University Tel Aviv Israel Department of Soil Science and Soil Protection Faculty of Agrobiology Food and Natural Resources Czech University of Life Sciences Prague Kamycka 129 Suchdol Prague16500 Czech Republic LISAH Univ Montpellier AgroParisTech INRAE IRD L'Institut Agro Montpellier France Indo-French Cell for Water Sciences IRD Indian Institute of Science Bengaluru560012 India GFZ Helmholtz Centre for Geosciences Telegrafenberg A17 Potsdam14473 Germany Institute of Earth System Sciences Soil Science Section Herrenhaeuser Str. 2 Hannover30419 Germany Department of Soil Science Faculty of Agriculture Universitas Andalas Kampus Unand Limau Manis Padang25163 Indonesia National Authority for Remote Sensing and Space Sciences Cairo11843 Egypt Laboratory of Remote Sensing Spectroscopy and GIS Aristotle University of Thessaloniki Greece Department of Soil Science Isfahan University of Technology Isfahan84156-83111 Iran Agricultural and Food Engineering Department Indian Institute of Technology Kharagpur West Bengal India Department of Soils Federal University of Viçosa Ave. Peter Henry Rolfs s/n Minas Gerais Viçosa36570-900 Brazil State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences Nanjing210008 China New South Wales Department of Climate Change Energy the Environment and Water ParramattaNSW2150 Australia Institute of Soil S

Soils provide a range of essential ecosystem services for sustaining life, including climate regulation. Advanced technologies support the protection and restoration of this natural resource. We developed the first fine-resolution spectral grid of bare soils by processing a spatiotemporal satellite data cube spanning the globe. Landsat imagery provided a 30 m composite soil image using the Geospatial Soil Sensing system (GEOS3), which calculates the median of pixels from the 40-year time series (1984–2022). The map of the Earth's bare soil covers nearly 90 % of the world's drylands. The modeling resulted in 10 spectral patterns of soils worldwide. Results indicate that plant residue and unknown soil patterns are the main factors that affect soil reflectance. Elevation and the shortwave infrared (SWIR2) band show the highest importance, with 78 and 80 %, respectively, suggesting that spectral and geospatial proxies provide inference on soils. We showcase that spectral groups are associated with environmental factors (climate, land use and land cover, geology, landforms, and soil). These outcomes represent an unprecedented information source capable of unveiling nuances on global soil conditions. Information derived from reflectance data supports the modeling of several soil properties with applications in soil-geological surveying, smart agriculture, soil tillage optimization, erosion monitoring, soil health, and climate change studies. Our comprehensive spectrally-based soil grid can address global needs by informing stakeholders and supporting policy, mitigation planning, soil management strategy, and soil, food, and climate security interventions. © 2025 Elsevier B.V.

关键词： Agri-environmental policy Digital soil mapping Earth observation Soil reflectance spectra Soil security

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A ring-like accretion structure in M87 connecting its black hole and jet

arXiv

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arXiv 2023年

作者： Lu, Ru-Sen Asada, Keiichi Krichbaum, Thomas P. Park, Jongho Tazaki, Fumie Pu, Hung-Yi Nakamura, Masanori Lobanov, Andrei Hada, Kazuhiro Akiyama, Kazunori Kim, Jae-Young Marti-Vidal, Ivan Gómez, José L. Kawashima, Tomohisa Yuan, Feng Ros, Eduardo Alef, Walter Britzen, Silke Bremer, Michael Broderick, Avery E. Doi, Akihiro Giovannini, Gabriele Giroletti, Marcello Ho, Paul T.P. Honma, Mareki Hughes, David H. Inoue, Makoto Jiang, Wu Kino, Motoki Koyama, Shoko Lindqvist, Michael Liu, Jun Marscher, Alan P. Matsushita, Satoki Nagai, Hiroshi Rottmann, Helge Savolainen, Tuomas Schuster, Karl-Friedrich Shen, Zhi-Qiang de Vicente, Pablo Walker, R. Craig Yang, Hai Zensus, J. Anton Algaba, Juan Carlos Allardi, Alexander Bach, Uwe Berthold, Ryan Bintley, Dan Byun, Do-Young Casadio, Carolina Chang, Shu-Hao Chang, Chih-Cheng Chang, Song-Chu Chen, Chung-Chen Chen, Ming-Tang Chilson, Ryan Chuter, Tim C. Conway, John Crew, Geoffrey B. Dempsey, Jessica T. Dornbusch, Sven Faber, Aaron Friberg, Per García, Javier González Garrido, Miguel Gómez Han, Chih-Chiang Han, Kuo-Chang Hasegawa, Yutaka Herrero-Illana, Ruben Huang, Yau-De Huang, Chih-Wei L. Impellizzeri, Violette Jiang, Homin Jinchi, Hao Jung, Taehyun Kallunki, Juha Kirves, Petri Kimura, Kimihiro Koay, Jun Yi Koch, Patrick M. Kramer, Carsten Kraus, Alex Kubo, Derek Kuo, Cheng-Yu Li, Chao-Te Lin, Lupin Chun-Che Liu, Ching-Tang Liu, Kuan-Yu Lo, Wen-Ping Lu, Li-Ming MacDonald, Nicholas Martin-Cocher, Pierre Messias, Hugo Meyer-Zhao, Zheng Minter, Anthony Nair, Dhanya G. Nishioka, Hiroaki Norton, Timothy J. Nystrom, George Ogawa, Hideo Oshiro, Peter Patel, Nimesh A. Pen, Ue-Li Pidopryhora, Yurii Pradel, Nicolas Raffin, Philippe A. Rao, Ramprasad Ruiz, Ignacio Sanchez, Salvador Shaw, Paul Snow, William Sridharan, T.K. Srinivasan, Ranjani Tercero, Belén Torne, Pablo Traianou, Efthalia Wagner, Jan Walther, Craig Wei, Ta-Shun Yang, Jun Yu, Chen-Yu Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai China Key Laboratory of Radio Astronomy Chinese Academy of Sciences Nanjing China Max-Planck-Institut für Radioastronomie Bonn Germany Institute of Astronomy and Astrophysics Academia Sinica Taipei Taiwan Korea Astronomy and Space Science Institute Daejeon Korea Republic of Simulation Technology Development Department Tokyo Electron Technology Solutions Oshu Japan Mizusawa VLBI Observatory National Astronomical Observatory of Japan Oshu Japan Department of Physics National Taiwan Normal University Taipei Taiwan Center of Astronomy and Gravitation National Taiwan Normal University Taipei Taiwan Department of General Science and Education National Institute of Technology Hachinohe College Hachinohe City Japan Department of Astronomical Science The Graduate University for Advanced Studies SOKENDAI Mitaka Japan Black Hole Initiative Harvard University CambridgeMA United States Massachusetts Institute of Technology Haystack Observatory WestfordMA United States National Astronomical Observatory of Japan Mitaka Japan Department of Astronomy and Atmospheric Sciences Kyungpook National University Daegu Korea Republic of Departament d’Astronomia i Astrofísica Universitat de València Valencia Spain Observatori Astronòmic Universitat de València Valencia Spain Instituto de Astrofísica de Andalucía-CSIC Granada Spain Institute for Cosmic Ray Research The University of Tokyo Chiba Japan Key Laboratory for Research in Galaxies and Cosmology Chinese Academy of Sciences Shanghai China School of Astronomy and Space Sciences University of Chinese Academy of Sciences Beijing China Institut de Radioastronomie Millimétrique Saint Martin d’Hères France Department of Physics and Astronomy University of Waterloo WaterlooON Canada Waterloo Centre for Astrophysics University of Waterloo WaterlooON Canada Perimeter Institute for Theoretical Physics WaterlooON Canada Institute of Space and Astron

The nearby radio galaxy M87 is a prime target for studying black hole accretion and jet formation1,2. Event Horizon Telescope observations of M87 in 2017, at a wavelength of 1.3 mm, revealed a ring-like structure, which was interpreted as gravitationally lensed emission around a central black hole3. Here we report images of M87 obtained in 2018, at a wavelength of 3.5 mm, showing that the compact radio core is spatially resolved. High-resolution imaging shows a ring-like structure of 8. 4!1.1$0.5 Schwarzschild radii in diameter, approximately 50% larger than that seen at 1.3 mm. The outer edge at 3.5 mm is also larger than that at 1.3 mm. This larger and thicker ring indicates a substantial contribution from the accretion flow with absorption effects in addition to the gravitationally lensed ring-like emission. The images show that the edge–brightened jet connects to the accretion flow of the black hole. Close to the black hole, the emission profile of the jet-launching region is wider than the expected profile of a black -hole-driven jet, suggesting the possible presence of a wind associated with the accretion flow. © 2023, CC BY.

关键词： Galaxies

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Research on the adjacency effect for off-nadir optical remote sensing*

Research on the adjacency effect for off-nadir optical remot...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Xiaoshan Ma Zhen Yang Xiaodong Peng Key Laboratory of Electronics and Information Technology for Space System National Space Science Center Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

With the application of the multi-angle remote sensing which obtain earth's surface data through several scan angles, the analysis of the adjacency effect in off-nadir optical remote sensing is significant. Monte Carlo method is used to simulate the atmospheric point spread function (PSF) that are appropriate for the off-nadir optical remote sensing. By the convolution of the atmospheric PSF and the surface-leaving radiance, the radiance caused by the adjacency effect could be calculated. The influence factor analysis shows that, in addition to the surface albedo and the meteorological range, the viewing direction will affect the adjacency effect dramatically. With the deviation of the viewing zenith angle from the nadir, adjacency effect becomes weak. Unlike the nadir remote sensing, the adjacency effect in off-nadir remote sensing is azimuthally dependent and the contribution of the background in the viewing direction is greater than others. Based on a three-dimensional scene and a whole chain optical imaging simulation software, the images before the optical system of the sensor with and without the adjacency effect are simulated. The calculation of the SNR, contrast and spatial resolution of the images reveals that the adjacency effect seriously degrades the image quality. These results could provide the basis for modeling the multi-angle optical remote sensing imaging system and exploring the correction algorithm of the adjacency effect.

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