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Search Results: 1 - 10 of 71930 matches for " Bin Yang "
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A Philosophical Thinking on Comprehensive Deepening Reform  [PDF]
Bin Yang
Open Journal of Philosophy (OJPP) , 2016, DOI: 10.4236/ojpp.2016.63023
Abstract: Development is the key point to solve all problems in China; however, development must be achieved with comprehensive deepening reform. By observing, thinking and studying from the aspect of philosophy, comprehensive deepening reform, which is China’s temporary theoretical and practical problem, can give us a deeper cognition to the historical necessity and reinforce the initiative for this reform. This can help us to look for methods and ways to reform in scientific world outlook and scientific methodology consciously. This can also help us to gain a strong impetus to do each work.
Efficient Compressive Multi-Focus Image Fusion  [PDF]
Chao Yang, Bin Yang
Journal of Computer and Communications (JCC) , 2014, DOI: 10.4236/jcc.2014.29011
Abstract:

Two key points of pixel-level multi-focus image fusion are the clarity measure and the pixel coeffi- cients fusion rule. Along with different improvements on these two points, various fusion schemes have been proposed in literatures. However, the traditional clarity measures are not designed for compressive imaging measurements which are maps of source sense with random or likely ran- dom measurements matrix. This paper presents a novel efficient multi-focus image fusion frame- work for compressive imaging sensor network. Here the clarity measure of the raw compressive measurements is not obtained from the random sampling data itself but from the selected Hada- mard coefficients which can also be acquired from compressive imaging system efficiently. Then, the compressive measurements with different images are fused by selecting fusion rule. Finally, the block-based CS which coupled with iterative projection-based reconstruction is used to re- cover the fused image. Experimental results on common used testing data demonstrate the effectiveness of the proposed method.

Research on Algorithm of the Point Set in the Plane Based on Delaunay Triangulation  [PDF]
Bin Yang, Shuyuan Shang
American Journal of Computational Mathematics (AJCM) , 2012, DOI: 10.4236/ajcm.2012.24046
Abstract:

In the paper, an improved algorithm is presented for Delaunay triangulation of the point-set in the plain. Based on the original algorithm, we propose the notion of removing circle. During the process of triangulation, and the circle dynamically moves, the algorithm which is simple and practical, therefore evidently accelerates the process of searching a new point, while generating a new triangle. Then it shows the effect of the algorithm in the finite element mesh.

A Sobel-TV Based Hybrid Model for Robust Image Denoising  [PDF]
Jihui Tu, Bin Yang
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.58123
Abstract:

The traditional Total-Variation algorithm has a good result to de-noise for noise image of small scale details, but it easily losses the details for the image with rich texture and tiny boundary. In order to solve this problem, this paper proposes a Sobel-TV model algorithm for image denoising. It uses TV model to de-noise and uses Sobel algorithm to control smoothness of image, which not only efficiently removes image noise but also simultaneously retail information, such as edge and texture. The experiments demonstrate that the proposed algorithm is simple, practical and generates better SNR, which is an important value to preprocess image.

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole  [PDF]
Jihui Tu, Bin Yang
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.58124
Abstract: In order to estimate intensity and direction of pressure acted on oil well in horizontal, this paper proposes an algorithm of ellipse fitting based on least square method for sections of oil well with ultrasonic imaging logging data. Five parameters about ellipse corresponding to the sections of oil well are extracted and their geometry deformations and direction are estimated. The tested results show that the fitting algorithm is robust and the estimating error of parameter is small, which have very important practical significance on processing the well logging.
A New Correction Algorithm of the Eccentric Ultrasonovision Time Image in the Casing Hole  [PDF]
Jihui Tu, Bin Yang
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.510134
Abstract:

The ultrasonovision image caused by the tool eccentricity can often present two pieces of vertical black strips in the Casing Well. To solve this problem, this paper proposes a correction algorithm of time eccentricity image based on ellipse fitting algorithm. This algorithm firstly utilizes borehole diameter data to fit ellipse and compute ellipse’s center, major axis, minor axis and inclination angle and other parameters, and then uses these parameters to correct eccentrical ultrasonovision time image. The tested results show that the algorithm can accurately fit ellipse and correct the eccentrical ultrasonovision time image, which is very important practical significance on processing the well logging.

Preparation of Ni-Co Alloy Foils by Electrodeposition  [PDF]
Yu-Yang Yang, Bin Deng
Advances in Chemical Engineering and Science (ACES) , 2011, DOI: 10.4236/aces.2011.12005
Abstract: Electrodeposition of Ni-Co alloy foils on titanium substrate was performed in an acid chloride- sulphate bath. The influences of electrodeposition parameters such as current density, temperature, pH value, cobalt sulphate and saccharin concentration on composition and current efficiency were investigated in detail. The morphology and the microstructure of deposits were analyzed by SEM and XRD, respectively. The results indicated that the optimum parameters were current density 3-4 A/dm2, pH 2-3, temperature 40-50?C, cobalt sulphate 20 g/l and saccharin 2-3 g/l. Chemical analysis of the deposits by EDS revealed anomalous Ni-Co codeposition occured in this system. The SEM showed that hydroxide particles were not present on the surface and that fine-grain, smooth and compact Ni-Co alloy deposits were obtained. The crystallographic structures of Ni-Co alloy foils were the fcc Ni solid solution. The Ni-Co alloy foils with Co content 17.3-37.2 wt% and thickness of 20-45 μm were bright with low residual stress and super toughness.
Signal Classification Method Based on Support Vector Machine and High-Order Cumulants  [PDF]
Xin ZHOU, Ying WU, Bin YANG
Wireless Sensor Network (WSN) , 2010, DOI: 10.4236/wsn.2010.21007
Abstract: In this paper, a classification method based on Support Vector Machine (SVM) is given in the digital modulation signal classification. The second, fourth and sixth order cumulants of the received signals are used as classification vectors firstly, then the kernel thought is used to map the feature vector to the high dimensional feature space and the optimum separating hyperplane is constructed in space to realize signal recognition. In order to build an effective and robust SVM classifier, the radial basis kernel function is selected, one against one or one against rest of multi-class classifier is designed, and method of parameter selection using cross- validation grid is adopted. Through the experiments it can be concluded that the classifier based on SVM has high performance and is more robust.
Near-Infrared Spectroscopy Combined with Partial Least Squares Discriminant Analysis Applied to Identification of Liquor Brands  [PDF]
Bin Yang, Lijun Yao, Tao Pan
Engineering (ENG) , 2017, DOI: 10.4236/eng.2017.92009
Abstract: The identification of liquor brands is very important for food safety. Most of the fake liquors are usually made into the products with the same flavor and alcohol content as regular brand, so the identification for the liquor brands with the same flavor and the same alcohol content is essential. However, it is also difficult because the components of such liquor samples are very similar. Near-infrared (NIR) spectroscopy combined with partial least squares discriminant analysis (PLS-DA) was applied to identification of liquor brands with the same flavor and alcohol content. A total of 160 samples of Luzhou Laojiao liquor and 200 samples of non-Luzhou Laojiao liquor with the same flavor and alcohol content were used for identification. Samples of each type were randomly divided into the modeling and validation sets. The modeling samples were further divided into calibration and prediction sets using the Kennard-Stone algorithm to achieve uniformity and representativeness. In the modeling and validation processes based on PLS-DA method, the recognition rates of samples achieved 99.1% and 98.7%, respectively. The results show high prediction performance for the identification of liquor brands, and were obviously better than those obtained from the principal component linear discriminant analysis method. NIR spectroscopy combined with the PLS-DA method provides a quick and effective means of the discriminant analysis of liquor brands, and is also a promising tool for large-scale inspection of liquor food safety.
New Blind Recognition Method of SCLD and OFDM in Alpha-Stable Noise  [PDF]
Junlin Zhang, Bin Wang, Yang Wang
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2017, DOI: 10.4236/ijcns.2017.105B024
Abstract:
This paper deals with modulation classification under the alpha-stable noise condition. Our goal is to discriminate orthogonal frequency division multiplexing (OFDM) modulation type from single carrier linear digital (SCLD) modulations in this scenario. Based on the new results concerning the generalized cyclostationarity of these signals in alpha-stable noise which are presented in this paper, we construct new modulation classification features without any priori information of carrier frequency and timing offset of the received signals, and use support vector machine (SVM) as classifier to discriminate OFDM from SCLD. Simulation results show that the recognition accuracy of the proposed algorithm can be up to 95% when the mix signal to noise ratio (MSNR) is up to ?1 dB.
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