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Search Results: 1 - 10 of 7920 matches for " Peihua Dai "
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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.

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.
THE EFFECT OF CECROPINS D FROM ANTHERAEA PERNYI ON SUSPENSIONS OF E.COLIK_12D_31
柞蚕蛹抗菌肽D对大肠杆菌K_(12)D_(31)的作用

Qiu Xuezhen Qu Xianming Wu Kezuo Dai Peihua Li Shiyun,
邱雪贞
,屈贤铭,吴克佐,戴培桦,李士云

动物学研究 , 1986,
Abstract: The kinetics of the bacteriolytic effect on E.coli K12 D31 were studied at different concentrations of cecropin D from Antheraea pernyi. The effect of 5 ?g per ml cecropin D on Suspensions of E. Coli K12D31 (107 cells/ml) in LEG medium was noticeable. In that medium, When the concentration of cecropin D reached 10?g per ml, the bactericibal velocity was higher than proliferation of bacterial cells As cecropin D was added to the suspension until its concentration reached 10?g per ml and with 107 cells/ml of E.coli K12D31,the number of surviving bacteria was counted by spreading on agar plates. It was found that after 4 has of incnhation in 0.1 M potasstum phosphate buffer these were no surivals but in LFG medium the bacterial population was 102 cells/ml.E. coli K12D31 which was incubared with cecropin D or B for uifercnt periods was obscrved in the electron microscope.
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:
Bis{1-[(4-methylphenyl)iminomethyl]-2-naphtholato-κ2N,O}nickel(II)
Quanbo Wang,Jianzhuang Jiang,Peihua Zhu
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811010087
Abstract: In the title complex, [Ni(C18H14NO)2], the NiII ion lies on an inversion center and is coordinated in a slightly distorted square-planar environment. The 1-[(4-methylphenyl)iminomethyl]-2-naphtholate ligands are coordinated in a trans arrangement with respect to the N and O atoms. In the symmetry-unique ligand, the dihedral angle between the naphthalene ring system and the benzene ring of the methylphenyl group is 49.03 (7)°.
MOTIVATION TO SHARE HOSPITAL BUILDING DESIGN KNOWLEDGE BY INFORMATION TECHNOLOGY IN HONG KONG
Rita Yi Man LI,Rita PEIHUA Zhang
Lex et Scientia , 2010,
Abstract: Hospital building design is important as it is the place where bacteria and microorganisms concentrate. Poor ventilation system and layout traps disease causing pathogens, threatens the lives of many frontline workers such as doctors, nurses, and health care assistants. While design knowledge sharing by IT ensures a rapid knowledge sharing among designers from all over the world, what are their motivations? Few or no paper has studied this issue. This paper studies this base on 4 traditional motivation theories: Theory X, Theory Y, Reinforcement theory, Two factor theory. Results show that positive reinforcement theory and motivation factors in two factor theory provide better explanation.
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