中国科学院机构知识库网格系统: 检索

How can the natural background and ecological & environment promote the green and sustainable development of Chinese tourist attractions? 期刊论文 OAI收割
ECOLOGICAL INDICATORS, 2024, 卷号: 169, 页码: 13
作者: Yan, Ning; Zhang, Jing; Xia, Bing; Li, Shihua; Yang, Wen

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收藏 | 浏览/下载：7/0 | 提交时间：2025/02/06

Eco-efficiency Geo-detector Natural background Super-SBM model Tourist attractions

基于高斯混合模型扣除毛发SERS信号中增强基底的背景峰 期刊论文 OAI收割
光谱学与光谱分析, 2023, 卷号: 43
作者: 李伟; 何遥; 林东岳; 董荣录; 杨良保

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收藏 | 浏览/下载：17/0 | 提交时间：2023/11/10

Surface-enhanced Raman spectroscopy Gaussian mixture model Conjugate gradient method Wavelet transform Background peak deduction 表面增强拉曼光谱高斯混合模型共轭梯度法小波变换背景峰扣除

Extraction algorithm for longitudinal and transverse mechanical information of AFM 期刊论文 OAI收割
Nanotechnology and Precision Engineering, 2022, 卷号: 5, 期号: 2, 页码: 1-11
作者: Hao, Chunxue; Wang SJ(王守金); Yuan S(袁帅); (1,2); Wu Boyu

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收藏 | 浏览/下载：53/0 | 提交时间：2022/06/07

Atomic force microscope Peak force tapping Torsional resonance Mechanical characteristic measurement Background subtraction algorithm Coupled mechanical model

One-Class Remote Sensing Classification From Positive and Unlabeled Background Data 期刊论文 OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 730-746
作者: Li, Wenkai; Guo, Qinghua; Elkan, Charles

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收藏 | 浏览/下载：12/0 | 提交时间：2023/02/24

Training Remote sensing Classification algorithms Mathematical model Support vector machines Data models Prediction algorithms Case-control sampling labeled and unlabeled data one-class classification positive and background learning with constraints (PBLC) remote sensing

A novel background subtraction algorithm based on parallel vision and Bayesian GANs 期刊论文 OAI收割
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 178-200
作者: Zheng, Wenbo; Wang, Kunfeng; Wang, Fei-Yue

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收藏 | 浏览/下载：33/0 | 提交时间：2020/06/22

Background subtraction Background model Bayesian generative adversarial network Convolutional neural networks Parallel vision

Selected Science Opportunities for the EicC 期刊论文 OAI收割
FEW-BODY SYSTEMS, 2020, 卷号: 61, 期号: 4, 页码: 43
作者: Chen, Xurong; Guo, Feng-Kun; Roberts, Craig D.; Wang, Rong

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收藏 | 浏览/下载：34/0 | 提交时间：2021/09/27

LEADING NEUTRON-PRODUCTION HIDDEN-CHARM PENTAQUARK RELATIVIZED QUARK-MODEL BACKGROUND FIELD METHOD DRELL-YAN ASYMPTOTIC FREEDOM ALPHA-PARTICLES LIGHT-ATOMS EXCLUSIVE PHOTOPRODUCTION PARTON DISTRIBUTIONS

Comparison of simulated backgrounds with in-orbit observations for HE, ME, and LE onboard Insight-HXMT 期刊论文 OAI收割
Astrophysics and Space Science, 2020, 卷号: 365, 页码: 158
作者: HXMT

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收藏 | 浏览/下载：48/0 | 提交时间：2022/02/08

Insight-HXMT Geant4 simulation Background observation Astrophysics - Instrumentation and Methods for Astrophysics Abstract: Insight-HXMT, the first X-ray astronomical satellite in China, aims to reveal new sources in the Galaxy and to study fundamental physics of X-ray binaries from 1 to 250 keV. It has three collimated telescopes, the High Energy X-ray telescope (HE), the Medium Energy X-ray telescope (ME), and the Low Energy X-ray telescope (LE). Before the launch, in-orbit backgrounds of these three telescopes had been estimated through Geant4 simulation, in order to investigate the instrument performance and the achievement of scientific goals. In this work, these simulated backgrounds are compared with in-orbit observations. Good agreements are shown for all three telescopes. For HE, (1) the deviation of the simulated background rate after two years of operation in space is 5 % from the observation (2) the total background spectrum and the relative abundance of the 67 keV line show long-term increases both in simulations and observations. For ME, (1) the deviation of simulated background rate is within 15 % from the observation, and (2) there are no obvious long-term increase features in the background spectra of simulations and observations. For LE, the background level given by simulations is also consistent with observations. The consistencies of these comparisons validate that the Insight-HXMT mass model, i.e., space environment components and models adopted, physics processes selected, and detector constructions built, is reasonable. However, the line features at 7.5 and 8.0 keV, which are obvious in the observed spectra of LE, are not evident in simulations. This might result from uncertainties in the LE constructions.

CESE-HLL Magnetic Field-Driven Modeling of the Background Solar Wind During Year 2008 期刊论文 OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2018, 卷号: 123, 期号: 6, 页码: 4488-4509
作者: Li, Huichao; Feng, Xueshang; Feng, XS (reprint author), Chinese Acad Sci, SIGMA Weather Grp, Natl Space Sci Ctr, State Key Lab Space Weather, Beijing, Peoples R China.; Feng, XS (reprint author), Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R China.; Feng, XS (reprint author), HIT Inst Space Sci & Appl Technol, Shenzhen, Peoples R China.

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收藏 | 浏览/下载：21/0 | 提交时间：2018/09/06

Data-driven Modeling Solar Wind Background 3-d Mhd Model

First Model Independent Results from DAMA/LIBRACPhase2 期刊论文 OAI收割
UNIVERSE, 2018, 卷号: 4, 期号: 11, 页码: 116
作者: Vittorio Merlo; Xiang-Dong Sheng; Zi-Piao Ye; Dai ZJ(戴长江); He HL(何会林)

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收藏 | 浏览/下载：50/0 | 提交时间：2019/10/10

dark matter low background NaI(Tl) scintillators model-independent annual modulation signature

Small target detection based on reweighted infrared patch-image model 期刊论文 OAI收割
IET IMAGE PROCESSING, 2018, 卷号: 12, 期号: 1, 页码: 70-79
作者: Guo, Jun; Wu, Yiquan; Dai, Yimian

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收藏 | 浏览/下载：73/0 | 提交时间：2018/12/12

Object Detection Infrared Imaging Principal Component Analysis Small Target Detection Reweighted Infrared Patch-image Model Infrared Small Target Detection Sparse Background Edges Background Estimation Reweighted Nuclear Norm Nontarget Sparse Points Reweighted Robust Principal Component Analysis Problem Inexact Augmented Lagrangian Multiplier Method Background Clutter Suppression Reweighted l(1) Norm