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Search Results: 1 - 10 of 127174 matches for " XueWei Li "
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A Simple Framework for Face Photo-Sketch Synthesis
Xuewei Li,Xiaochun Cao
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/910719
Abstract: This paper proposes a simple framework for face photo-sketch synthesis. We first describe the shadow details on faces and extract the prominent facial feature by two-scale decomposition using bilateral filtering. Then, we enhance the hair and some unapparent facial feature regions by combining the edge map and hair color similarity map. Finally, we obtain the face photo sketch by adding the results of the two processes. Compared with current methods, the proposed framework demands non feature localization, training or iteration process, creating vivid hair in sketch synthesis, and process arbitrary lighting conditions of input images, especially for complex self-shadows. And more importantly, it can be easily expanded to natural scene. The effectiveness of the presented framework is evaluated on a variety of databases.
A study of combined evaluation of suppliers based on correlation
Heting Qiu,Xuewei Li
Journal of Industrial Engineering and Management , 2013, DOI: 10.3926/jiem.680
Abstract: Purpose: The Selection of logistics service providers is an important issue in supply chain management. But different evaluation methods may lead to different results, which could cause inconsistent conclusions. This paper makes use of a new perspective to combine with a variety of methods to eliminate the deviation of different single evaluation methods. Design/methodology/approach: This paper expounds the application of the combined evaluation method based on correlation. Entropy method, factor analysis, grey colligation evaluation and AHP have been used for research. Findings: According to the evaluate result, the ranking of suppliers obtained by each method have obvious differences. The result shows that combined evaluation method can eliminate the deviation of different single evaluation methods. Originality/value: The combined evaluation method makes up for the defects of single evaluation methods and obtains a result that is more stable and creditable with smaller deviation. This study can provide the enterprise leaders with more scientific method to select their cooperative companies.
Comments onExtension Engineering Method
Shulin Huang,Xuewei Li,Zhongxiong He
Chinese Science Bulletin , 2000, DOI: 10.1007/BF02909776
Abstract:
Comments on Extension Engineering Method

HUANG Shulin,LI Xuewei,HE Zhongxiong,

科学通报(英文版) , 2000,
Abstract:
Study on p-Wave Attenuation in Hydrate-Bearing Sediments Based on BISQ Model
Chuanhui Li,Kai Feng,Xuewei Liu
Journal of Geological Research , 2013, DOI: 10.1155/2013/176579
Abstract: In hydrate-bearing sediments, the elastic wave attenuation characteristics depend on the elastic properties of the sediments themselves on the one hand, and on the other hand, they also depend on the hydrate occurrence state and hydrate saturation. Since the hydrate-bearing sediments always have high porosity, so they show significant porous medium characteristics. Based on the BISQ porous medium model which is the most widely used model to study the attenuation characteristics in the porous media, we focused on p-wave attenuation in hydrate-bearing sediments in Shenhu Area, South China Sea, especially in specific seismic frequency range, which lays a foundation for the identification of gas hydrates by using seismic wave attenuation in Shenhu Area, South China Sea. Our results depict that seismic wave attenuation is an effective attribute to identify gas hydrates. 1. Introduction With the enhancement of exploration technology for gas hydrate resources, research on wave attenuation in hydrate-bearing sediments is being paid more and more attention. Unlike oil and gas reservoirs, hydrate reservoirs are usually found at shallow depths. In suitable conditions, hydrates form more easily within sediments with high porosity and high permeability. Gas hydrates affect the rock properties, so the wave attenuation in hydrate-bearing sediments is a complex phenomenon. In Mackenzie Delta, Canada, Guerin and Goldberg [1], Guerin et al. [2], and Pratt et al. [3] obtained high value of wave attenuation in hydrate-bearing sediments by logging data and crosshole seismic tomography results, respectively. In Nankai Trough, central Japan, Matsushima [4] also proved that elastic wave showed strong attenuation in hydrate-bearing sediments by logging data, in Blake Ridge and in the Makran Accretionary Prism, Arabian Sea, Wood et al. [5] and Sain and Singh [6] obtained week attenuation of seismic wave in hydrate-bearing sediments by using seismic data. Although the wave attenuation mechanism in hydrate-bearing sediments is not yet well explained. But the existing research results show that the wave attenuation in hydrate-bearing sediments is associated with several factors, such as the elastic properties of sediments, hydrate occurrence state, hydrate saturation, and frequency. Since the hydrate-bearing sediments always have high porosity, so they show significant porous medium characteristics. At the present, the most commonly used model to study elastic wave propagation in porous media is the BISQ model which combines the Biot flow and the squirt flow. In this model, the
Genetic Diversity and Population Structure of Tibetan Pig Inferred from Mitochondrial DNA Sequence Analysis
Mingwang Zhang,Mingzhou Li,Long Jin,Yan Li,Xuewei Li
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.3984.3990
Abstract: Tibetan pig is an endangered plateau type pig breed which distributed mainly in Qinghai-Tibetan Plateau. In present study, researchers analyzed 218 prior published partial mitochondrial D-loop sequences (415 bp) by using phylogenetic, network, mismatch distribution and Analysis of Molecular Variance (AMOVA) analysis to clarify the population differentiation and explore the relationships among populations from different geographical locations of Tibetan pigs. The results revealed a total of 43 haplotypes in 218 samples from seven Tibetan pig populations in which only one common Haplotype (H1) was shared by the seven populations. Haplotype diversity was high (0.889) whereas nucleotide diversity among all individuals was low (0.00534). It is notable that Hezuo Tibetan pigs have 19 unique haplotypes in total 24 haplotypes of 53 individuals with the highest nucleotide diversity (0.00765). Bayesian tree and median joining network procedures carried out on the data showed that seven Tibetan pig haplotypes were essentially indistinguishable except some unique haplotypes from Hezuo. The AMOVA analysis indicated that the genetic variation mainly occurred within populations (85.41%) but variance among populations was only 14.59%. The unimodal mismatch distribution of haplotypes, together with significant negative values of Fu s FS and negative values of Tajima s D suggest that a recent population expansion of Tibetan pig has been occurred in Diqing, Hezuo and total population.
Chaetochromones A and B, Two New Polyketides from the Fungus Chaetomium indicum (CBS.860.68)
Keyang Lu,Yisheng Zhang,Li Li,Xuewei Wang,Gang Ding
Molecules , 2013, DOI: 10.3390/molecules180910944
Abstract: Chaetochromones A ( 1) and B ( 2), two novel polyketides, were isolated from the crude extract of fungus Chaetomium indicum (CBS.860.68) together with three known analogues PI-3( 3), PI-4 ( 4) and SB236050 ( 5). The structures of these compounds were determined by HRESI-MS and NMR experiments. Chaetochromones A ( 1) and B ( 2) are a member of the polyketides family, which might originate from a similar biogenetic pathway as the known compounds PI-3 ( 3), PI-4 ( 4) and SB236050 ( 5). The biological activities of these secondary metabolites were evaluated against eight plant pathogens, including Alternaria alternata, Ilyonectria radicicola , Trichoderma viride pers, Aspergillus niger, Fusarium verticillioide, Irpex lacteus (Fr.), Poria placenta (Fr.) Cooke and Coriolus versicolor (L.) Quél. Compound 1 displayed moderate inhibitory rate (>60%) against the brown rot fungus Poria placenta (Fr.) Cooke, which causes significant wood decay. In addition, the cytotoxic activities against three cancer cell lines A549, MDA-MB-231, PANC-1 were also tested, without any inhibitory activities being detected.
Global Mild Solutions and Attractors for Stochastic Viscous Cahn-Hilliard Equation
Xuewei Ju,Hongli Wang,Desheng Li,Jinqiao Duan
Abstract and Applied Analysis , 2011, DOI: 10.1155/2011/670786
Abstract: This paper is devoted to the study of mild solutions for the initial and boundary value problem of stochastic viscous Cahn-Hilliard equation driven by white noise. Under reasonable assumptions we first prove the existence and uniqueness result. Then, we show that the existence of a stochastic global attractor which pullback attracts each bounded set in appropriate phase spaces.
Wave Propagation Analysis in Composite Laminates Containing a Delamination Using a Three-Dimensional Spectral Element Method
Fucai Li,Haikuo Peng,Xuewei Sun,Jinfu Wang,Guang Meng
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/659849
Abstract: A three-dimensional spectral element method (SEM) was developed for analysis of Lamb wave propagation in composite laminates containing a delamination. SEM is more efficient in simulating wave propagation in structures than conventional finite element method (FEM) because of its unique diagonal form of the mass matrix. Three types of composite laminates, namely, unidirectional-ply laminates, cross-ply laminates, and angle-ply laminates are modeled using three-dimensional spectral finite elements. Wave propagation characteristics in intact composite laminates are investigated, and the effectiveness of the method is validated by comparison of the simulation results with analytical solutions based on transfer matrix method. Different Lamb wave mode interactions with delamination are evaluated, and it is demonstrated that symmetric Lamb wave mode may be insensitive to delamination at certain interfaces of laminates while the antisymmetric mode is more suited for identification of delamination in composite structures.
Short time-series microarray analysis: Methods and challenges
Xuewei Wang, Ming Wu, Zheng Li, Christina Chan
BMC Systems Biology , 2008, DOI: 10.1186/1752-0509-2-58
Abstract: Microarray technology has enabled the interrogation of gene expression data in a global and parallel fashion, and has become the most popular platform in the era of systems biology [1]. A majority of the microarray analysis thus far has focused on elucidating disease mechanisms [2]. More recently, with the rapid growth in research and development of biofuels [3], a new challenge of manipulating plant cell-wall biosynthesis has led to further applications of microarrays [3]. The detection and analysis of steady-state mRNA expression have become routine [4-7], with applications in many areas of biology (i.e., plants, yeast, insects, and mammals). Increasing efforts are focused on deciphering the multidimensional dynamic behaviours of complex biological systems, including complex regulation schemes, such as the crosstalk between multiple pathways [3,8,9], and interactions among more than 1000 genes in plant cell wall biogenesis, developmental biology, and human diseases [10-14]. Thus, time-series microarray data, and its analysis, are of growing interest to several research communities [15].Time-series microarrays capture multiple expression profiles at discrete time points (i.e., minutes, hours, or days) of a continuous cellular process. These data can characterize the complex dynamics and regulation in the form of differential gene-expressions as a function of time. Numerous time-series microarray experiments have been performed to study such biological processes as the biological rhythms or circadian clock of Arabidopsis, flowering time, abiotic stress, disease progression, and drug responses [2,16-20]. Many of the methods of analyzing time-series data originated from various disciplines, such as signal processing, dynamic system theory, machine learning and information theory, and have been applied to detect differentially expressed genes, identify expression patterns, and construct gene networks [15,21-23], nevertheless challenges remain.A significant challenge in
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