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Search Results: 1 - 10 of 13732 matches for " Peihua Xue "
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The Conceptual Model of Influencing Factors and Influencing Mechanism on Team Decision-Making Quality Mediated by Information Sharing  [PDF]
Peihua Dai
iBusiness (IB) , 2013, DOI: 10.4236/ib.2013.54015
Abstract:

Searching for the influencing factors on team decision-making quality is the hot issue in academic circles and business circles. Based on summarizing the main influencing factors on team decision-making quality, this thesis divides the main influencing factors into team composition factors and team process factors and researches the internal relationship between them. Targeted at the field decision making, this thesis analyzes the influencing process of the main factors on decision-making quality, and constructs the conceptual model of “influencing factors-information sharing-decision-making quality”. This model not only combines the main influencing factors correctly, but also exposes the “black box” between the influencing factors and decision-making quality in field decision making, which can make up for no relative research for the field decision making in the previous studies.

Cryogenic induced phase separation of chitosan solution
Wenjun Li,Zhenyu Gu,Wei Zhong,Peihua Xue
Chinese Science Bulletin , 1999, DOI: 10.1007/BF02886347
Abstract: The chitosan porous membrane was prepared by extending the principle of thermally induced phase separation (TIPS) for the polymer-diluent system to the polymer solution at arnbient temperature to carry out the cryogenic induced phase separation (CIPS). The porous membrane obtained was characterized by scanning electron microscopy (SEM) and gas permeability. It was found that a specific lacy pore structure morphology corresponding to the TIPS’ solicd-liquid phase separation was formed in the demixing process and the porosity could be more than 70%. The research of demixing mechanism and membrane-formation process showed that the membrane was stacked through porous lamella. The porosity of membrane increases and the pore diameter decreases with increasing solidtfying temperature. Both the porosity and pore diameter decrease with the chitosan concentration increase.
Inhibitory effects of chitosan on superoxide anion radicals and lipid free radicals
Wenjun Li,Xuan Jiang,Peihua Xue,Shiming Chen
Chinese Science Bulletin , 2002, DOI: 10.1360/02tb9198
Abstract: With the electron spin resonance (ESR) technique, the inhibitory effects of chitosan on superoxide anion radicals and linoleic acid lipid radicals were found. The inhibitory ratio E for these two kinds of radicals is in proportion to the concentration of chitosan. It was also observed that E for linoleic acid lipid radicals increased with the increase of the degree of deacetylation and decreased with the increase of the molecular weight of chitosan.
Inhibitory effects of chitosan on superoxide anion radicals and lipid free radicals

LI Wenjun,JIANG Xuan,XUE Peihua,CHEN Shiming,

科学通报(英文版) , 2002,
Abstract: With the electron spin resonance (ESR) technique, the inhibitory effects of chitosan on superoxide anion radicals and linoleic acid lipid radicals were found. The inhibitory ratio E for these two kinds of radicals is in proportion to the concentration of chitosan. It was also observed that E for linoleic acid lipid radicals increased with the increase of the degree of deacetylation and decreased with the increase of the molecular weight of chitosan.
Tensor-SIFT based Earth Mover's Distance for Contour Tracking
Peihua Li
Mathematics , 2010,
Abstract: Contour tracking in adverse environments is a challenging problem due to cluttered background, illumination variation, occlusion, and noise, among others. This paper presents a robust contour tracking method by contributing to some of the key issues involved, including (a) a region functional formulation and its optimization; (b) design of a robust and effective feature; and (c) development of an integrated tracking algorithm. First, we formulate a region functional based on robust Earth Mover's distance (EMD) with kernel density for distribution modeling, and propose a two-phase method for its optimization. In the first phase, letting the candidate contour be fixed, we express EMD as the transportation problem and solve it by the simplex algorithm. Next, using the theory of shape derivative, we make a perturbation analysis of the contour around the best solution to the transportation problem. This leads to a partial differential equation (PDE) that governs the contour evolution. Second, we design a novel and effective feature for tracking applications. We propose a dimensionality reduction method by tensor decomposition, achieving a low-dimensional description of SIFT features called Tensor-SIFT for characterizing local image region properties. Applicable to both color and gray-level images, Tensor-SIFT is very distinctive, insensitive to illumination changes, and noise. Finally, we develop an integrated algorithm that combines various techniques of the simplex algorithm, narrow-band level set and fast marching algorithms. Particularly, we introduce an inter-frame initialization method and a stopping criterion for the termination of PDE iteration. Experiments in challenging image sequences show that the proposed work has promising performance.
Blind Deconvolution for Jump-Preserving Curve Estimation
Xingfang Huang,Peihua Qiu
Mathematical Problems in Engineering , 2010, DOI: 10.1155/2010/350849
Abstract: In many applications, observed signals are contaminated by both random noise and blur. This paper proposes a blind deconvolution procedure for estimating a regression function with possible jumps preserved, by removing both noise and blur when recovering the signals. Our procedure is based on three local linear kernel estimates of the regression function, constructed from observations in a left-side, a right-side, and a two-side neighborhood of a given point, respectively. The estimated function at the given point is then defined by one of the three estimates with the smallest weighted residual sum of squares. To better remove the noise and blur, this estimate can also be updated iteratively. Performance of this procedure is investigated by both simulation and real data examples, from which it can be seen that our procedure performs well in various cases.
Nonparametric estimation of a point-spread function in multivariate problems
Peter Hall,Peihua Qiu
Mathematics , 2007, DOI: 10.1214/009053606000001442
Abstract: The removal of blur from a signal, in the presence of noise, is readily accomplished if the blur can be described in precise mathematical terms. However, there is growing interest in problems where the extent of blur is known only approximately, for example in terms of a blur function which depends on unknown parameters that must be computed from data. More challenging still is the case where no parametric assumptions are made about the blur function. There has been a limited amount of work in this setting, but it invariably relies on iterative methods, sometimes under assumptions that are mathematically convenient but physically unrealistic (e.g., that the operator defined by the blur function has an integrable inverse). In this paper we suggest a direct, noniterative approach to nonparametric, blind restoration of a signal. Our method is based on a new, ridge-based method for deconvolution, and requires only mild restrictions on the blur function. We show that the convergence rate of the method is close to optimal, from some viewpoints, and demonstrate its practical performance by applying it to real images.
Distribution-free cumulative sum control charts using bootstrap-based control limits
Snigdhansu Chatterjee,Peihua Qiu
Statistics , 2009, DOI: 10.1214/08-AOAS197
Abstract: This paper deals with phase II, univariate, statistical process control when a set of in-control data is available, and when both the in-control and out-of-control distributions of the process are unknown. Existing process control techniques typically require substantial knowledge about the in-control and out-of-control distributions of the process, which is often difficult to obtain in practice. We propose (a) using a sequence of control limits for the cumulative sum (CUSUM) control charts, where the control limits are determined by the conditional distribution of the CUSUM statistic given the last time it was zero, and (b) estimating the control limits by bootstrap. Traditionally, the CUSUM control chart uses a single control limit, which is obtained under the assumption that the in-control and out-of-control distributions of the process are Normal. When the normality assumption is not valid, which is often true in applications, the actual in-control average run length, defined to be the expected time duration before the control chart signals a process change, is quite different from the nominal in-control average run length. This limitation is mostly eliminated in the proposed procedure, which is distribution-free and robust against different choices of the in-control and out-of-control distributions.
Acid Value Determination and Pre-Esterification of Crude Euphorbia lathyris L. Oil  [PDF]
Qiuyun Zhang, Jinfeng Wu, Peihua Ma, Jie Cai, Yutao Zhang
World Journal of Engineering and Technology (WJET) , 2015, DOI: 10.4236/wjet.2015.32007
Abstract: There were various problems in the determination of oil acid value of the national standard method, and this paper developed a low cost, simple and effective way to determine the acid value of oil and grease. Furthermore, the esterification of high acid Euphorbia lathyris L. oil (ELO) with methanol could be efficiently catalyzed by hydrochloric acid to produce biodiesel, and the influencing factors such as the amount of catalyst, reaction time, reaction temperature and molar ratio of oil to methanol were also studied. Under the optimized conditions with the oil to methanol molar ratio of 1:30 and a reaction temperature of 70, 95.8% oil conversion was obtained within 40 min in the presence of only 2.0 wt% of catalyst. Therefore, the low-cost non-edible Euphorbia lathyris L. oil as a raw material had good potential for the synthesis of biodiesel in industry.
Neurotransmitter and receptor in pigeon retinotectal transmission
Peihua Jiang,Hongfeng Gao,Shurong Wang
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882678
Abstract:
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