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CAS IR Grid
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长春光学精密机械与物... [3]
理论物理研究所 [2]
过程工程研究所 [1]
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武汉物理与数学研究所 [1]
合肥物质科学研究院 [1]
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期刊论文 [6]
会议论文 [3]
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Physics [2]
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Experimental study on plasma characteristics in the extraction region of a high-power RF negative ion source based on electrostatic probe
期刊论文
OAI收割
PLASMA PHYSICS AND CONTROLLED FUSION, 2024, 卷号: 66
作者:
Peng, Xufeng
;
Xu, Yongjian
;
Xie, Yahong
;
Wei, Jianglong
;
Li, Yufan
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/11/20
RF negative ion source
the extraction region
electrostatic probe
plasma parameters
A new waveform decomposition method for multispectral LiDAR
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 149, 页码: 40-49
作者:
Shi, Shuo
;
Sun, Jia
;
Lin, Xin
;
Chen, Zhenwei
;
Gong, Wei
  |  
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2019/06/24
Full waveform
Multispectral LiDAR
Gaussian decomposition
Parameters extraction
Thermodynamic models based on Pitzer-NRTL and Pitzer-Margules equations for the extraction of tungstic acid with primary amine N1923
期刊论文
OAI收割
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2015, 卷号: 58, 期号: 5, 页码: 935-942
作者:
Lin Xiao
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2015/07/05
primary amine extraction
separation of Mo from W
thermodynamic
model parameters
Charmless B-s -> PP, PV, VV decays based on the six-quark effective Hamiltonian with strong phase effects II
期刊论文
OAI收割
EUROPEAN PHYSICAL JOURNAL C, 2012, 卷号: 72, 期号: 3, 页码: 1914
作者:
Wu, YL
;
Yang, YB
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2014/04/25
PRESERVING LOOP REGULARIZATION
PERTURBATIVE QCD APPROACH
BRANCHING FRACTIONS
FACTORIZATION
SYMMETRY
RENORMALIZATION
EXTRACTION
ASYMMETRIES
PARAMETERS
MATRIX
Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者:
Wang X.
;
Wang X.
;
Wang X.
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2013/03/25
Using of SIFT algorithm in the image of teeth model
can detect the features of the teeth image effectively. In this approach
first
search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second
select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third
assign one or more orientations to each keypoint location based on local image gradient directions. Last
measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods
this method can detect the features of the teeth model effectively
and offer some available parameters for 3D reconstruction of the teeth model. the authors.
Three-sample rotation vector algorithm with angular rate input (EI CONFERENCE)
会议论文
OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:
Zhang Y.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
In order to research the attitude algorithm with angular rate input under the conical motion
a optimal threesample rotation vector algorithm based on single-step Newton backward interpolation is proposed. Using the principle of limited rigid body rotation and the characteristic of angular rate input
three-sample rotation vector algorithm is derivated. To minimum attitude errors
three-sample rotation vector algorithm is optimized. Three angular rate extraction methods of singlestep entire sample recursion
multi-step entire sample and singlestep Newton backward interpolation are proposed. Under the condition of conical motion with semi-cone angle 3 and angular frequency 2rad/s
simulation is done. The simulation results show that single-step Newton backward interpolation is superior to the other two methods
and its maximum error peak is 0.01
error drift rate is 0.036/h. Experiments in three-axis flying turntable with the same parameters are carried out
and the results show that error drift rates of three-channels are less than those of traditional quaternion
which are 13.53%
12.08% and 23.68% lower respectively. It also verified that the new algorithm can perform a high accuracy under the conical motion. 2011 IEEE.
QCD FACTORIZATION BASED ON SIX-QUARK OPERATOR EFFECTIVE HAMILTONIAN FROM PERTURBATIVE QCD AND CHARMLESS BOTTOM MESON DECAYS B((s)) -> pi pi, pi K, KK
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MODERN PHYSICS A, 2010, 卷号: 25, 期号: 1, 页码: 69-111
作者:
Yang, Yi-Bo
;
Su, F , Chinese Acad Sci, Inst Theoret Phys, Kavli Inst Theoret Phys China, Beijing 100190, Peoples R China, Peoples R China
;
Su, Fang
;
Wu, Yue-Liang
;
Zhuang, Ci
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2012/08/02
Renormalization
Regularization
Parameters
Extraction
Prediction of solvents extraction - the organochlorine pesticides in soil using solubility parameter
期刊论文
iSwitch采集
TALANTA, 2005, 卷号: 66, 期号: 1, 页码: 249-252
作者:
Lang, YH
;
Cao, ZM
;
Jiang, X
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/10/10
solubility parameters
soxhlet extraction
organic solvents
organochlorme pesticides
PSO based gabor wavelet feature extraction method (EI CONFERENCE)
会议论文
OAI收割
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
作者:
Sun H.
;
Zhang Y.
;
Sun H.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
In this paper
the time of feature extraction is faster. By test in low contrast image
2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation
the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.
orientation
and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space
we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm
it can ensure reliable convergence the target
which can improve convergent speed