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CAS IR Grid
机构
地理科学与资源研究所 [3]
长春光学精密机械与物... [2]
上海药物研究所 [1]
上海应用物理研究所 [1]
生态环境研究中心 [1]
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OAI收割 [8]
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期刊论文 [5]
会议论文 [2]
SCI/SSCI论文 [1]
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2022 [1]
2021 [3]
2011 [1]
2009 [1]
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学科主题
Physics [1]
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Replica Exchange Molecular Dynamics
期刊论文
OAI收割
PROGRESS IN CHEMISTRY, 2022, 卷号: 34, 期号: 2, 页码: 384-396
作者:
Peng, Cheng
;
Wu, Leyun
;
Xu, Zhijian
;
Zhu, Weiliang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/08/16
replica exchange molecular dynamics
variation
sampling efficiency
number of replica
conformational change
Sampling cores and sequencing depths affected the measurement of microbial diversity in soil quadrats
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 767, 页码: -
作者:
Li, Shuzhen
;
Deng, Ye
;
Du, Xiongfeng
;
Feng, Kai
;
Wu, Yueni
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/12/23
Sampling strategy
alpha diversity
Pooling
Biological replicate
Common species
Hill number
Effect of sample number and location on accuracy of land use regression model in NO2 prediction
期刊论文
OAI收割
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246, 页码: 8
作者:
Dong, Jin
;
Ma, Rui
;
Cai, Panli
;
Liu, Peng
;
Yue, Handong
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/03/15
Land use regression
Sample number
Sample location
Purposive sampling
Accuracy
Effect of sample number and location on accuracy of land use regression model in NO2 prediction
期刊论文
OAI收割
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246, 页码: 8
作者:
Dong, Jin
;
Ma, Rui
;
Cai, Panli
;
Liu, Peng
;
Yue, Handong
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/03/15
Land use regression
Sample number
Sample location
Purposive sampling
Accuracy
Temporal variability of soil water storage evaluated for a coffee field
SCI/SSCI论文
OAI收割
2011
Timm L. C.
;
Dourado-Neto D.
;
Bacchi O. O. S.
;
Hu W.
;
Bortolotto R. P.
;
Silva A. L.
;
Bruno I. P.
;
Reichardt K.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2012/06/08
multiple regression
neutron probe
sampling number
state-space
state-time
moisture
A sensitive solid-phase time-resolved fluorescence immunoassay apparatus (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, June 17, 2009 - June 19, 2009, Beijing, China
作者:
Song K.-F.
;
Li J.-L.
;
Zhang W.-L.
;
Wang Y.-L.
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2013/03/25
In the device
a He-Ne laser of flash frequency 1-20 Hz was adopted as exciting light source
and three key technical problems have been solved successfully in order to enhance the detecting sensitivity and measuring stability of the device for time-resolved fluorimmunoassays(TRFIA) [1]. The first one is to design optimum exciting optical system
so that the exciting light beam excite the sample most effectively. The second one is to have a project spectrum filter which can reduce the affection of the background light to the photomultiplier tube and also ensure influence of the stray light and mixed diffusion light to the sample fluorescence to the least
the sample fluorescence through the integrating sphere and come to the grating monochromator
The right wavelength will be chosed through changing the angle of incidence of the grating monochromator. The third one is to simulate the principle of sample averaging of BOXCAR averager. In the device
SCM was used as primary controller and CPLD was used as timing controller. Through the preparation process
signal-to-noise ratio(SNR) will be improved
also adjust delay time
ampling frequency and sampling number arbitrarily. By testing
the sensitivity is 10-12mol/L(substance marked by Eu3+)
examination repeat is &le2.5%
examination linearity is from 10 -8mol/L to 10-12mol/L
correlation coefficient is 99.98%(p&le0.01). The instrument is advanced for ultrasensitive detection of antigen and antibody
and solve the tumor
genetic variation
the virus protein detection. 2009 SPIE.
Influence of sampling interval and number of projections on the quality of SR-XFMT reconstruction
期刊论文
OAI收割
HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2007, 卷号: 31, 期号: 4, 页码: 409
Deng, B(邓彪)
;
Yu, XH(余笑寒)
;
Xu, HJ(徐洪杰)
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2012/05/03
SR-XFMT
image reconstruction
sampling interval
number of projections
Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE)
会议论文
OAI收割
2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China
作者:
Li W.
;
Li W.
;
Zhang H.
;
Zhang H.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales
a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse
Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis
multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.