The adsorption of SrO on GaN (0001)2×2 surface was theoretically calculated employing the density functional theory within a plane-wave ultrasoft pseudopotential scheme. The adsorption orientation, the adsorption...
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The adsorption of SrO on GaN (0001)2×2 surface was theoretically calculated employing the density functional theory within a plane-wave ultrasoft pseudopotential scheme. The adsorption orientation, the adsorption energy, and the bonding characteristics of SrO molecule were studied. The simulated results showed that SrO adsorbs on GaN(0001) surface mainly in the form of undissociated molecule and the most stable position of SrO on surface was at the bridge site of Ga, and the chemical bonding energy was achieved to be 7.257-7.264 eV. The charge population and PDOS reveal that the chemical bonding of Ga-O shows a covalent bonding property. After adsorption, electrons of SrO transfer to part Ga atoms of the GaN(0001) surface, and the surface exists still the surface state.
Online shopping has become an important and popular way of life. With the rapid C2C platform development, the credit problem in online shopping was being discussed. Serious loss of credit will leads to bad online busi...
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ISBN:
(纸本)9781479970063
Online shopping has become an important and popular way of life. With the rapid C2C platform development, the credit problem in online shopping was being discussed. Serious loss of credit will leads to bad online business environment. However, till now lots of researchers just focus on seller reputation model to solve credit problem, thus buyer reputation model is seldom being considered. To solve the above problem, we proposed a Computational Buyer Reputation Model for C2C e-Commerce platform, i.e. CBRM. Five buyer reputation indicators, including transactions amount, seller ratings, buyer operations, chargeback ratio and real name authentication, were integrated into CBRM. By using AHP to distribute various indicator weights, we can obtain numeric value of buyer reputation. Therefore, these values can be used for sellers to choose appropriate buyers to deal with. Experiment results showed the efficiency and effectiveness of CBRM.
With the rapid development of new economy, China lubricant enterprises urgently need to implement effective Customer Relationship Management (CRM) to win the market. By constructing and applying CRM, lubricant enterpr...
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In this paper, we present a novel method for activity analysis in outdoor environment. Difficulties, such as low resolution, shadows, long distances, and segmentation problems, usually exist in outdoor environment. To...
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ISBN:
(纸本)9781467352512
In this paper, we present a novel method for activity analysis in outdoor environment. Difficulties, such as low resolution, shadows, long distances, and segmentation problems, usually exist in outdoor environment. To deal with these difficulties, the activity width sequence image which maintains 3D features using 2D representation is exploited to represent the silhouette structure information of each frame and dynamic properties of activity. The activity width vectors are converted to the gray value successively according to the order in activity sequence and the gray image is formed in spatio-temporal space. We regard the activity width sequence image as the texture and choose Local Binary Patterns which is a powerful texture extraction operator to analyze the spatio-temporal pattern. The method is simple and effective. We test our method based on the outdoor database and the results are encouraging.
When unlabeled data is selected for updating classifier, it is easy to introduce noise or unreliable data. In this paper, a semi-supervised collaboration-training based on genetic algorithm (SCGA) is proposed. This al...
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ISBN:
(纸本)9781479902590
When unlabeled data is selected for updating classifier, it is easy to introduce noise or unreliable data. In this paper, a semi-supervised collaboration-training based on genetic algorithm (SCGA) is proposed. This algorithm uses optimization function of genetic algorithm to help collaboration-training algorithm to select valuable unlabeled data. Experiments on UCI datasets prove that the algorithm is useful for updating classifiers effectively and can prevent the introduction of noise.
This article is concerned with blow-up solutions of the Cauchy problem of critical nonlinear SchrSdinger equation with a Stark potential. By using the variational characterization of corresponding ground state, the li...
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This article is concerned with blow-up solutions of the Cauchy problem of critical nonlinear SchrSdinger equation with a Stark potential. By using the variational characterization of corresponding ground state, the limiting behavior of blow-up solutions with critical and small super-critical mass are obtained in the natural energy space ∑ = {u ∈ H^1; fRN ｜x｜^2｜u｜^2dx 〈 ＋∞）}. Moreover, an interesting concentration property of the blow-up solutions with critical mass is gotten, which reads that ｜u（t, x）｜^2→ ｜｜Q｜｜L^2 2 δx=x1 as t → T.
The basic idea of identifying the motion blurred direction using the directional derivative is that the original image be an isotropic first-order Markov random process. However, the real effect of this method is not ...
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Accident reconstruction is not only an important way for responsibility identification or cause analysis in traffic accident but also an important step in study on traffic safety improvement. In this work, a type of p...
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In response to the changes in the registration procedure at the universities, i.e. one university has several districts and different registration requirements;this paper proposes the distributed digital registration ...
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In this paper, we propose a novel approach for controlling of crowd paths in real-time virtual environments. The proposed algorithm focus on addressing two problems: (1) the grid-based distance propagating for control...
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