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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [6]
地理科学与资源研究所 [3]
数学与系统科学研究院 [3]
心理研究所 [2]
长春光学精密机械与物... [1]
城市环境研究所 [1]
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OAI收割 [16]
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期刊论文 [13]
学位论文 [2]
会议论文 [1]
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2022 [1]
2012 [1]
2011 [4]
2010 [2]
2009 [2]
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环境科学与工程 [1]
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A comparison of methods to harmonize cortical thickness measurements across scanners and sites
期刊论文
OAI收割
NEUROIMAGE, 2022, 卷号: 261, 页码: 19
作者:
Sun, Delin
;
Rakesh, Gopalkumar
;
Haswell, Courtney C.
;
Logue, Mark
;
Baird, C. Lexi
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2023/01/06
Data Harmonization
Scanner Effects
Site Effects
Cortical Thickness
ComBat
ComBat-GAM
Linear Mixed-Effects Model
General Additive Model
PTSD
Model checking for a general linear model with nonignorable missing covariates
期刊论文
OAI收割
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2012, 卷号: 28, 期号: 1, 页码: 99-110
作者:
Sun Zhihua
;
Ip WaiCheung
;
Wong Heung
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/01/14
REGRESSION
general linear model
model checking
nonignorable missing covariates
sensitivity analysis
Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity
期刊论文
OAI收割
ECOHYDROLOGY, 2011, 卷号: 4, 期号: 6, 页码: 744-756
作者:
Fan, Xiaomei
;
Pedroli, Bas
;
Liu, Gaohuan
;
Liu, Hongguang
;
Song, Chuangye
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/09/26
Groundwater-dependent Ecosystem
Detrended Canonical Correspondence Analysis
General Linear Model
Visual Modflow
Spatial Analysis
Degradation
Fragmentation
Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity
期刊论文
OAI收割
ECOHYDROLOGY, 2011, 卷号: 4, 期号: 6, 页码: 744-756
作者:
Fan, Xiaomei
;
Pedroli, Bas
;
Liu, Gaohuan
;
Liu, Hongguang
;
Song, Chuangye
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/09/26
Groundwater-dependent Ecosystem
Detrended Canonical Correspondence Analysis
General Linear Model
Visual Modflow
Spatial Analysis
Degradation
Fragmentation
Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity
期刊论文
OAI收割
ECOHYDROLOGY, 2011, 卷号: 4, 期号: 6, 页码: 744-756
作者:
Fan, Xiaomei
;
Pedroli, Bas
;
Liu, Gaohuan
;
Liu, Hongguang
;
Song, Chuangye
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/09/26
Groundwater-dependent Ecosystem
Detrended Canonical Correspondence Analysis
General Linear Model
Visual Modflow
Spatial Analysis
Degradation
Fragmentation
Relationship between construction characteristics and carbon emissions from urban household operational energy usage
期刊论文
OAI收割
Energy and Buildings, 2011, 卷号: 43, 期号: (2011), 页码: 147-152
Hong Ye (叶红)
;
Wang Kai(汪凯)
;
Zhao Xiaofeng (赵小锋)
;
Chen Feng (陈 峰)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2011/11/03
Household operatinal energy
Carbon emission
Construction characteristics
General linear model
Univariate
Urban
MODEL CHECKING FOR GENERAL LINEAR ERROR-IN-COVARIABLES MODEL WITH VALIDATION DATA
期刊论文
OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2010, 卷号: 23, 期号: 6, 页码: 1153-1166
作者:
Dai, Pengjie
;
Sun, Zhihua
;
Wang, Peng
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2018/07/30
General linear model
measurement error
model checking
validation data
A NOVEL APPROACH TO ACTIVATION DETECTION IN fMRI BASED ON EMPIRICAL MODE DECOMPOSITION
期刊论文
OAI收割
JOURNAL OF INTEGRATIVE NEUROSCIENCE, 2010, 卷号: 9, 期号: 4, 页码: 407-427
作者:
Zheng, Tianxiang
;
Cai, Mingbo
;
Jiang, Tianzi
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2015/08/12
Empirical mode decomposition
functional magnetic resonance imaging
general linear model
independent component analysis
region growing
Checking the adequacy of a general linear model with responses missing at random
期刊论文
OAI收割
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2009, 卷号: 139, 期号: 10, 页码: 3588-3604
作者:
Sun, Zhihua
;
Wang, Qihua
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2018/07/30
General linear model
Lack-of-fit test
Missing at random
Score-type test
Empirical process
Sensitivity analysis
Space optics remote sensor focusing components mechanics characteristic analysis based on FEM (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Material and Device Technology for Sensors, June 17, 2009 - June 19, 2009, Beijing, China
作者:
Wang B.
;
Ren J.-Y.
;
Wang B.
收藏
  |  
浏览/下载:146/0
  |  
提交时间:2013/03/25
Space optical remote sensor is very important in many fields of science and military significance. It is widely applied. Space optical remote sensor design and manufacturing require precision and stability. Focusing mechanics is an important component of remote sensors. Focusing mechanics can guarantee the stability of the entire mechanics focusing accuracy
therefore the stability of research focusing mechanics is very important. In order to guarantee the space optics remote sensor focusing mechanics the stability
takes steps the space optics remote sensor focusing organization mechanics characteristic analysis from the classics contact theory. This article uses international general non-linear finite element analysis software ABAQUS to carry on mechanics characteristic analysis to the space optics remote sensor focusing mechanics. First acts according to the focusing mechanics unique feature
carries on the finite element to the structural model the grid division
the material attribute disposition and the boundary condition indeed grades. Then establishment contact non-linear finite element model
and to focusing organization finite element model infliction unit action. Like this contacts the result and the equivalent static analysis result which the nonlinear analysis obtains carries on the contrast and the analysis. This article last count result modality is 90HZ
satisfies the space optics remote sensor structure overall modality to request to be bigger than 50HZ.This article when carries on the dynamic analysis
extracts the structure kinetic energy and the acceleration curve. In the dynamic analysis obtained transient response analysis modality 70.5Hz
this also is bigger than 50HZ. The dynamic analysis indicated the structure dynamic stability has the distinct enhancement
has provided certain foundation for the space optics remote sensor following development work
reduced the overall system development cycle. 2009 SPIE.