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长春光学精密机械与... [15]
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会议论文 [16]
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FTIR trend term removal method based on GA and MSAC algorithms
会议论文
OAI收割
Nantong, PEOPLES R CHINA, SEP 17-19, 2022
作者:
Yan B(闫浡)
;
Fang JY
;
Chen H(陈豪)
;
Li SH(李帅辉)
  |  
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2023/10/26
Fourier Transform Infrared Spectroscopy (FTIR)Trend term removalGenetic algorithm (GA)M-estimate sample consistency algorithm (MSAC)
Identification of FPR3 as a Unique Biomarker for Targeted Therapy in the Immune Microenvironment of Breast Cancer
期刊论文
OAI收割
FRONTIERS IN PHARMACOLOGY, 2021, 卷号: 11
作者:
Qi, Jian
;
Liu, Yu
;
Hu, Jiliang
;
Lu, Li
;
Dou, Zhen
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2021/04/26
breast cancer
immune microenvironment
ESTIMATE algorithm
immune checkpoint
FPR3
Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 6, 页码: 2678-2685
作者:
Wang, Ting
;
Zhang, Hang
;
Zhao, Yanlong
  |  
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2020/09/23
Convergence
Consensus algorithm
Projection algorithms
Noise measurement
Estimation
Multi-agent systems
Approximation algorithms
Binary-valued communications
convergence
convergence rate
consensus control
estimate
multi-agent systems
recursive projection algorithm
Multiscale Computational Method for Dynamic Thermo-Mechanical Problems of Composite Structures with Diverse Periodic Configurations in Different Subdomains
期刊论文
OAI收割
JOURNAL OF SCIENTIFIC COMPUTING, 2019, 卷号: 79, 期号: 3, 页码: 1630-1666
作者:
Dong, Hao
;
Zheng, Xiaojing
;
Cui, Junzhi
;
Nie, Yufeng
;
Yang, Zhiqiang
  |  
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2020/01/10
Dynamic thermo-mechanical problems
Multiscale asymptotic analysis
Diverse periodic configurations
Error estimate
SOTS numerical algorithm
Multiscale computational method for transient heat conduction problems of periodic porous materials with diverse periodic configurations in different subdomains
期刊论文
OAI收割
APPLIED NUMERICAL MATHEMATICS, 2019, 卷号: 136, 页码: 215-234
作者:
Dong, Hao
;
Cui, Junzhi
;
Nie, Yufeng
;
Yang, Zihao
;
Ma, Qiang
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2019/03/05
Periodic porous materials
Asymptotic homogenization method
Diverse periodic configurations
Error estimate
SOTS numerical algorithm
Multiscale computational method for heat conduction problems of composite structures with diverse periodic configurations in different subdomains
期刊论文
OAI收割
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2018, 卷号: 76, 期号: 11-12, 页码: 2549-2565
作者:
Dong, Hao
;
Cui, Junzhi
;
Nie, Yufeng
;
Yang, Zihao
;
Yang, Zhiqiang
  |  
收藏
  |  
浏览/下载:99/0
  |  
提交时间:2019/01/11
Heat conduction problems
Multiscale asymptotic analysis
Diverse periodic configurations
Error estimate
SOTS numerical algorithm
Fast evaluation and high accuracy finite element approximation for the time fractional subdiffusion equation
期刊论文
OAI收割
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2018, 卷号: 34, 期号: 2, 页码: 705-730
作者:
Ren, Jincheng
;
Mao, Shipeng
;
Zhang, Jiwei
  |  
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2018/07/30
fast convolution algorithm
finite element method
fractional subdiffusion equation
fully discrete scheme
superconvergence estimate
Weighted data fusion algorithm in the application of visual measurement network system (EI CONFERENCE)
会议论文
OAI收割
2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012, November 29, 2012 - November 30, 2012, Guangzhou, China
作者:
Zhang Y.-c.
;
Zhou J.
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2013/03/25
For the problem on the deviation of actual measurement values between different network positions of visual measurement network system
so present the weighted data fusion algorithm. To distribute the weight coefficients according to the stability of eigenvector and fuse the coordinates
finally get the ultimate expression of fusion estimate. The experiment results present the maximum absolute tolerance of the fusion results is 0.039mm via the weighted data fusion algorithm
the maximum one via traditional data fusion algorithm of the center of point set is 0.056mm
Repeatedly measure 50 times
compared with the traditional algorithm
proposed weighted data fusion algorithm has much better precision and better stability. (2013) Trans Tech Publications
Switzerland.
Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE)
会议论文
OAI收割
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.
;
Gu L.
;
Chen H.
;
Cao J.
收藏
  |  
浏览/下载:154/0
  |  
提交时间:2013/03/25
Comparing with optical remote sensing techniques
passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent
which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November
2011. In this paper
we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method
the processing results were further used to retrieve the snow depth in Northeast China. Finally
the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.
Color filtering method for CFA images based on gradient (EI CONFERENCE)
会议论文
OAI收割
International Conference on Communication Systems and Network Technologies, CSNT 2012, May 11, 2012 - May 13, 2012, Rajkot, Gujrat, India
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2013/03/25
Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values
three color is R(red)
G(green) and B(blue). To render a full-color image
need an interpolation process commonly referred to as CFA demosaicking
is required to estimate the other two contributions for producing a full-color image. But
the noise in imaging sensors not only corrupts the color filter array
at the same time introduces artifacts during the color interpolation step and influence quality of images. In order to acquire high quality full-color images
adopt a sort of viable and effective interpolation algorithm based on gradient
at the time of removing the noise
reserve image border and detail information clearly. 2012 IEEE.