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Chinese Academy of Sciences Institutional Repositories Grid
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Modified reduction to the pole using the estimated total magnetisation direction and variable geomagnetic inclination: application to the Sichuan Basin 期刊论文  OAI收割
EXPLORATION GEOPHYSICS, 2019, 页码: 15
作者:  
Liu, Kang;  Hao, Tianyao;  Wen, Baihong;  Yang, Hui
  |  收藏  |  浏览/下载:69/0  |  提交时间:2019/12/04
Investigation of the relationship between the air pollution and solar activity 期刊论文  OAI收割
ASTROPHYSICS AND SPACE SCIENCE, 2017, 卷号: 362, 期号: 8
作者:  
Liu, Bisong;  Tan, Chengming;  Tan, Baolin
  |  收藏  |  浏览/下载:33/0  |  提交时间:2017/12/06
A framework of constraint preserving update schemes for optimization on Stiefel manifold 期刊论文  OAI收割
MATHEMATICAL PROGRAMMING, 2015, 卷号: 153, 期号: 2, 页码: 535-575
作者:  
Jiang, Bo;  Dai, Yu-Hong
  |  收藏  |  浏览/下载:13/0  |  提交时间:2018/07/30
IMAGE FUSION BASED ON MULTI-OBJECTIVE OPTIMIZATION 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2014, 卷号: 12, 期号: 2
作者:  
Xie, Qiwei;  Long, Qian;  Mita, Seiichi;  Guo, Chunzhao;  Jiang, An
收藏  |  浏览/下载:30/0  |  提交时间:2015/08/12
离子液体1-乙基-3-甲基咪唑三氟甲基磺酸盐与水之间的氢键作用(英文) 期刊论文  OAI收割
物理化学学报, 2014, 卷号: 30, 期号: 9, 页码: 1605-1610
作者:  
宋大勇;  陈静
收藏  |  浏览/下载:48/0  |  提交时间:2014/10/23
First-principles study of ground-state properties of U2Mo 期刊论文  OAI收割
Physical Chemistry Chemical Physics, 2014, 卷号: 16, 期号: 48, 页码: 26974-26982
X. Wang; X. Y. Cheng; Y. T. Zhang; R. H. Li; W. W. Xing; P. C. Zhang; X. Q. Chen
收藏  |  浏览/下载:23/0  |  提交时间:2015/01/14
Information-Theoretic Outlier Detection for Large-Scale Categorical Data 期刊论文  OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 卷号: 25, 期号: 3, 页码: 589-602
作者:  
Wu, Shu;  Wang, Shengrui
收藏  |  浏览/下载:23/0  |  提交时间:2016/03/30
Study on the communication from the households in the countries of west China Based on the rural telecom communication charge 会议论文  OAI收割
International Conference on Challenges in Environmental Science and Computer Engineering, CESCE, Wuhan, China, 2010
Wang; Boli1; 2; Zhang; Xiaolei1; Zhu; Bing1; Sun; Changlong1
收藏  |  浏览/下载:38/0  |  提交时间:2011/08/23
The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Li S.;  Wang C.;  Chen X.;  Chen X.;  Chen X.
收藏  |  浏览/下载:36/0  |  提交时间:2013/03/25
The author  Shangyu Li  engages in supervising and inspecting the quality of products. In soy sauce manufacturing  quality control of intermediate and final products by many components such as total nitrogen  saltless soluble solids  nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem  we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work  a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer  the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids  total nitrogen  total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen  0.913 and 1.215 for saltless soluble solids  0.855 and 0.199 nitrogen of amino acids  0.966 and 0.231 for total acid  respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.  
Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE) 会议论文  OAI收割
ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Chen X.-D.;  Chen X.-D.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR)  principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.