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Search Results: 1 - 10 of 104966 matches for " Xiaoming ZHANG "
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Segmenting Histogram-based Robust Audio Watermarking Approach
Xiaoming Zhang
Journal of Software , 2008, DOI: 10.4304/jsw.3.9.3-11
Abstract: Based on the invariant features and data distribution in time domain before and after attacking on the audio, it is clearly that the standard variance shows good invariant statistical feature. The relation of four consecutive bins in a histogram maintains change less than 5%. Then, a general data selection approach, which meets the demands of normal distribution and other distributions, is created for the watermark hiding. Based on segmenting idea, an audio watermarking algorithm of embedding and extracting is designed with statistical features by the stable relation of four consecutive bins. Experimental results show that the algorithm can resist on attack of low-pass filtering with large hiding bandwidth up to 17 bit/s. It shows much better than the existed histogram approach with relations of three consecutive bins. The algorithm can also resist on the attacks of TSM and other common attacks.
The Limitations of Polygenic Hypothesis and Theorizing about Dual Multiple Factors and Three Normal Distributions  [PDF]
Tingzhen Zhang, Xiaoming Jia, Zhao Xu
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.79081
Abstract: The original data of Nilsson-Ehle experiment in wheat were analyzed with existent genetic knowledge. It indicated that the core of polygenic hypothesis from this experiment was that a character similarity produced by additive effect of multiple genes was the basis of continuous variation. Its precondition was for effective genes to have equal effect, to show merodominance and binomial distribution \"\"?and \"\"?to inherit independently. In fact, quantitative characters were determined by many genes with different property, effect and behavior. So it was difficult to solve all problems of continuous variation by the aid of polygenic hypothesis. The researchers should seek new ways. With Mendelian group as research object and by means of Lyapunov central limit theorem it was proved that both genotypic value G and the environmental effect in a niche E were subordinated to the normal distribution and respectively. According to additivity of the normal distribution the phenotype P = G + E also obeyed the normal distribution P = G + E ~ \"\"?and quantitative characters showed continuous variation, whether or not the linkage was presented, whether or not every gene effect was equal, whether or not there were dominance and what kind of dominance between alleles. Moreover it was discussed that the quantitative characters in self-fertilized organism and clone were submitted to the normal distribution and presented continuous variation too.
An Alternative Analysis on Nilsson-Ehle’s Hybridization Experiment in Wheat —Theory of Dual Multiple Factors and Three Normal Distributions on Quantitative Inheritance (Continuation)  [PDF]
Tingzhen Zhang, Xiaoming Jia, Zhao Xu
Applied Mathematics (AM) , 2018, DOI: 10.4236/am.2018.98068
Abstract:
In this paper, an analysis on Nilsson-Ehle’s hybridization experiment in wheat was done by means of self-fertilization method along with the pericarp inheritance. It showed that because seeds of wheat were coated with 2n tissues of mother’s body, the grain colors were determined by mother’s genotype. The color of the F1 grains in this experiment was old red. The phenotypes of the F2 grains were uniformly medium red and did not segregate. Grains in the F3 generation segregated in the ratio 6 red (varying intensities of red) to 1 white with a definite probability respectively. This is the consequence of additive effect of 3 gene pairs and belongs to discrete distribution rather than continuous distribution. Therefore, the multiple-gene hypothesis based on this experiment cannot solve the continuous variations in inheritance of quantitative characters.
Feasibility Analysis of Constructing Solar Power Plant by Combining Large Scale Wind Farm  [PDF]
Mingzhi Zhao, Yanling Zhang, Shijin Song, Xiaoming Zhang
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B017
Abstract: Hybrid utilization of renewable energy is one of effective method which can solve the problem that unstable of renewable energy so as not to substitute traditional fossil energy. As the typical renewable energy, solar energy and wind energy are in the van of renewable energy utilization. With the large scale utilization of solar and wind energy in the world, constructing large scale solar power plant in the large scale wind farm can make the most of ground resource combining the wind energy with solar energy. Feasibility of constructing large scale solar power plant in the large scale wind farm was analyzed in this paper, and come to a conclusion that constructing large scale solar power plant in the large scale wind farm can not also achieved the goal of mutual support of resource advantages and economizing money but also improved significantly the seasonal mismatch by combining solar with wind.
Hypoxic Condition Up-Regulates the Expression of Angiopoietin-2 in ADSCs  [PDF]
Lingxiao Ye, Xiaoming Sun, Yuguang Zhang, Ying Zhang
Journal of Biomedical Science and Engineering (JBiSE) , 2019, DOI: 10.4236/jbise.2019.122006
Abstract: Wound healing requires abundant nutrition and blood supply, thus angiogenesis is a vital stage in this process. Angiogenesis involves diverse kinds of immune cells, growth factors, cytokines and inhibitors. ADSCs, especially ADSCs cultured in hypoxic condition, are reported to be able to facilitate angiogenesis and promote wound healing process. Significant efforts have been made on the development of ADSCs-based therapies with wound-healing applications. Here the results showed that expression of Angiopoietin-2 (ANGPT2) in ADSCs was up-regulated in the hypoxic condition.
Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap
Xiaoming Zhao,Shiqing Zhang
Sensors , 2011, DOI: 10.3390/s111009573
Abstract: Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed. KDIsomap aims to nonlinearly extract the discriminant information by maximizing the interclass scatter while minimizing the intraclass scatter in a reproducing kernel Hilbert space. KDIsomap is used to perform nonlinear dimensionality reduction on the extracted local binary patterns (LBP) facial features, and produce low-dimensional discrimimant embedded data representations with striking performance improvement on facial expression recognition tasks. The nearest neighbor classifier with the Euclidean metric is used for facial expression classification. Facial expression recognition experiments are performed on two popular facial expression databases, i.e., the JAFFE database and the Cohn-Kanade database. Experimental results indicate that KDIsomap obtains the best accuracy of 81.59% on the JAFFE database, and 94.88% on the Cohn-Kanade database. KDIsomap outperforms the other used methods such as principal component analysis (PCA), linear discriminant analysis (LDA), kernel principal component analysis (KPCA), kernel linear discriminant analysis (KLDA) as well as kernel isometric mapping (KIsomap).
A Double Inequality for Gamma Function
Zhang Xiaoming,Chu Yuming
Journal of Inequalities and Applications , 2009,
Abstract: Using the Alzer integral inequality and the elementary properties of the gamma function, a double inequality for gamma function is established, which is an improvement of Merkle's inequality.
A Double Inequality for Gamma Function
Xiaoming Zhang,Yuming Chu
Journal of Inequalities and Applications , 2009, DOI: 10.1155/2009/503782
Abstract: Using the Alzer integral inequality and the elementary properties of the gamma function, a double inequality for gamma function is established, which is an improvement of Merkle's inequality.
Gas Chromatographic Analysis of Volatile Components of Guinean and Chinese Ginger Oils (Zingiber officinale) Extracted by Steam Distillation
Alhassane Toure,Zhang Xiaoming
Journal of Agronomy , 2007,
Abstract: The volatile compounds responsible for flavor of Guinean (west-Africa) and Chinese gingers have been extracted using steam distillation. The Gas Chromatography Mass Spectrometry (GC-MS) was used to determine essential oil volatile components from Guinean and Chinese ginger. The results showed that more than 90 components were separated of Guinean and Chinese ginger, respectively were tentatively identified. The components accounted for about 93.57 and 89.55% of the total relative content for Guinean and Chinese ginger, respectively. Zinziberene (19.89 and 31.1%) was the most abundant compound identified for Guinean and Chinese ginger. The major effects of the steam distillation process are increase in terpene hydrocarbons and monoterpenes alcohols.
Finite temperature mechanical instability in disordered lattices
Leyou Zhang,Xiaoming Mao
Physics , 2015,
Abstract: Mechanical instability takes different forms in various ordered and disordered systems. We study the effect of thermal fluctuations in two disordered central-force lattice models near mechanical instability: randomly diluted triangular lattice and randomly braced square lattice. These two lattices exhibit different scalings for the emergence of rigidity at $T=0$ due to their different patterns of self stress at the transition. Using analytic theory we show that thermal fluctuations stabilize both lattices. In particular, the triangular lattice displays a critical regime in which the shear modulus scales as $G \sim T^{1/2}$, whereas the square lattice shows $G \sim T^{2/3}$.
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