中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [3]
青海盐湖研究所 [3]
生态环境研究中心 [1]
合肥物质科学研究院 [1]
采集方式
OAI收割 [8]
内容类型
期刊论文 [5]
会议论文 [3]
发表日期
2017 [1]
2015 [1]
2011 [1]
2007 [3]
2006 [2]
学科主题
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Quantitative Analysis of Pb, Cd, Cr and Cu in Soil Using Standard Addition Method Combined with Laser-Induced Breakdown Spectroscopy
期刊论文
OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 卷号: 37, 期号: 10, 页码: 3274-3280
作者:
Fang Li
;
Zhao Nan-jing
;
Ma Ming-jun
;
Meng De-shuo
;
Gu Yan-hong
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/06/17
Laser-induced breakdown spectroscopy
Quantitative analysis
Standard addition method
Curve fitting
Heavy metals
Standard Addition Determination of Impurities in Na2CrO4 by ICP-AES
期刊论文
OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 卷号: 35, 期号: 2, 页码: 523-526
作者:
Wang Li-ping
;
Feng Hai-tao
;
Dong Ya-ping
;
Peng Jiao-yu
;
Li Wu
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/06/20
Sodium Chromate
Trace Impurities
Icp-aes
Standard Addition Method
Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE)
会议论文
OAI收割
International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China
作者:
Zhang X.
;
Zhang J.
;
Zhang J.
;
Zhang X.
;
Zhang X.
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2013/03/25
Vision-based human action recognition provides an advanced interface
and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion
which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally
we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word
our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set
but also proves practical to some real world applications
in addition
this method is computationally simple and able to achieve a satisfactory accuracy.
Surface tension of pure and water-containing ionic liquid C5MIBF4 (1-methyl-3-pentylimidazolium tetrafluoroborate)
期刊论文
OAI收割
JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2007, 卷号: 313, 期号: 1, 页码: 374-377
作者:
Yang, Jia-Zhen
;
Tong, Jing
;
Li, Jing-Bin
;
Li, Ji-Guan
;
Tong, Jian
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2018/06/20
Ionic Liquid
Standard Addition Method
Surface Tension
Study on the density and surface tension of ionic liquid EMIBF4 in terms of standard addition method
期刊论文
OAI收割
ACTA CHIMICA SINICA, 2007, 卷号: 65, 期号: 8, 页码: 655-659
作者:
Yang Jia-zhen
;
Li Jing-Bin
;
Tong Jing
;
Hong Mei
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2018/06/20
Ionic Liquid
Standard Addition Method
Density
Surface Tension
Real time tracking by LOPF algorithm with mixture model (EI CONFERENCE)
会议论文
OAI收割
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, November 15, 2007 - November 17, 2007, Wuhan, China
Meng B.
;
Zhu M.
;
Han G.
;
Wu Z.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
A new particle filter-the Local Optimum Particle Filter (LOPF) algorithm is presented for tracking object accurately and steadily in visual sequences in real time which is a challenge task in computer vision field. In order to using the particles efficiently
we first use Sobel algorithm to extract the profile of the object. Then
we employ a new Local Optimum algorithm to auto-initialize some certain number of particles from these edge points as centre of the particles. The main advantage we do this in stead of selecting particles randomly in conventional particle filter is that we can pay more attentions on these more important optimum candidates and reduce the unnecessary calculation on those negligible ones
in addition we can overcome the conventional degeneracy phenomenon in a way and decrease the computational costs. Otherwise
the threshold is a key factor that affecting the results very much. So here we adapt an adaptive threshold choosing method to get the optimal Sobel result. The dissimilarities between the target model and the target candidates are expressed by a metric derived from the Bhattacharyya coefficient. Here
we use both the counter cue to select the particles and the color cur to describe the targets as the mixture target model. The effectiveness of our scheme is demonstrated by real visual tracking experiments. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident when the target encountering the occlusion in real video where the standard particle filter usually fails.
Wavelet packet and neural network basis medical image compression (EI CONFERENCE)
会议论文
OAI收割
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
Zhao X.
;
Wei J.
;
Zhai L.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
It is difficult to get high compression ratio and good reconstructed image by conventional methods
we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image
use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network algorithm
not only for its vector quantization feature
but also for its topological property. This property allows an increase of about 80% for the compression rate. Compared to the JPEG standard
this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30. This method can get big compression ratio and perfect PSNR. Results show that the image can be compressed greatly and the original image can be recovered well. In addition
the approach can be realized easily by hardware.
Determination of phenol in landfill leachate by using microchip capillary electeophoresis with end-channel amperometric detection
期刊论文
OAI收割
JOURNAL OF SEPARATION SCIENCE, 2006, 卷号: 29, 期号: 1, 页码: 137-143
作者:
Wu, YY
;
Lin, JM
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2015/10/15
end-channel amperometric detection
landfill leachate
microchip capillary electrophoresis (MCCE)
standard addition method