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Ξc - Ξ′c mixing from lattice QCD
期刊论文
OAI收割
PHYSICS LETTERS B, 2023, 卷号: 841, 页码: 137941
作者:
Liu, Hang
;
Liu, Liuming
;
Sun, Peng
;
Sun, Wei
;
Tan, Jin-Xin
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/12/07
2ND-ORDER POWER CORRECTIONS
QUARK EFFECTIVE THEORY
Gain-Assisted Giant Third-Order Nonlinearity of Epsilon-Near-Zero Multilayered Metamaterials
期刊论文
OAI收割
NANOMATERIALS, 2022, 卷号: 12, 期号: 19
作者:
Shi, Wenjuan
;
Liu, Hongjun
;
Wang, Zhaolu
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/10/25
epsilon-near-zero (ENZ)
nonlocal effective medium theory
multilayered metamaterials
third-order nonlinear
gain materials
Baryons and baryon resonances in nuclear matter
期刊论文
OAI收割
PROGRESS IN PARTICLE AND NUCLEAR PHYSICS, 2018, 卷号: 98, 页码: 119-206
作者:
Lenske, H
;
Dhar, M
;
Gaitanos, T
;
Cao, X
  |  
收藏
  |  
浏览/下载:91/0
  |  
提交时间:2018/12/27
HEAVY-ION COLLISIONS
EFFECTIVE-FIELD THEORY
MESON-EXCHANGE MODEL
PLUS AU COLLISIONS
SPIN-ISOSPIN MODES
EQUATION-OF-STATE
TO-LEADING ORDER
DELTA-HOLE MODEL
INELASTIC ELECTRON-SCATTERING
CARBON-CARBON COLLISIONS
Higher order volume-preserving schemes for charged particle dynamics
期刊论文
OAI收割
JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 卷号: 305, 页码: 172-184
作者:
He, Yang
;
Sun, Yajuan
;
Liu, Jian
;
Qin, Hong
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2018/07/30
Lorentz force equation
Higher order schemes
Volume-preserving integrator
Processing technique
Effective order
The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.
;
Zhang Y.-Y.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
Mammary gland is composed entirely of soft tissue with approximate density
therefore mammary gland CR medicine radiation image presents a low contrast
and slight difference changes may be a manifestation of tumor
so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise
due to image details lost
aiming at the defects
a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio
moreover
CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.
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:140/0
  |  
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:34/0
  |  
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.
Reagentless near-infrared determination of cholesterol in undiluted human serum using interval partial least square (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Smart Materials and Nanotechnology in Engineering, SMNE 2011, September 17, 2011 - September 18, 2011, Wuhan, China
Gao H.
;
Lu Q.
;
Huang F.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
In order to determination of cholesterol in human serum with no reagent using nearinfrared (NIR) spectroscopy. Interval partial least square (iPLS) was proposed as an effective variable selection approach for multivariate calibration. For this purpose
an independent sample set was employed to evaluate the prediction ability of the resulting model. The spectrum was split into different interval. Then
the informative region of cholesterol (1688-1760nm)
in which the PLS model has a low RMSEP with 0.241mmol/L and a high R with 0.975
is selected with 23 intervals. The results indicate that
the informative region of cholesterol can be obtained by iPLS and applied to design the simpler reagentless NIR instruments for inexpensive cholesterol measurement in future. (2012) Trans Tech Publications
Switzerland.
The shape edge measure of automobile airbag based on image processing (EI CONFERENCE)
会议论文
OAI收割
2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012, October 18, 2012 - October 20, 2012, Nanjing, China
作者:
Li Y.
;
Wang Z.
;
Wang Z.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
At present
micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD
and then it is sent to the computer to be processed and segmented. The edge of image is extracted through Canny edge detection algorithm in order to acquire shape edge of airbag in this paper
and the image similarity degree are calculated to provide the information of matching in the template matching process. Finally the comprehensive test shape edge of airbag is realized. The experimental results show that the detection method is effective feasible
intuitive and clear. 2012 IEEE.
Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:
Gao X.
;
Yu P.
;
Yu P.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF)
which is most widely used
is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason
Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter
firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions
a weight and mutation particle swam optimization algorithm was proposed
in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last
a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment
which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.