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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To select unlabeled example effectively and reduce classification error, confidence estimation for graph based semi-supervised learning (CEGSL) is proposed. This algorithm combines graph-based semi-supervised learning...
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In this paper, we study blow-up solutions of the Cauchy problem to the L2 critical nonlinear Schrdinger equation with a Stark potential. Using the variational characterization of the ground state for nonlinear Schr...
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In this paper, we study blow-up solutions of the Cauchy problem to the L2 critical nonlinear Schrdinger equation with a Stark potential. Using the variational characterization of the ground state for nonlinear Schrdinger equation without any potential, we obtain some concentration properties of blow-up solutions, including that the origin is the blow-up point of the radial blow-up solutions, the phenomenon of L2-concentration and rate of L2-concentration of blow-up solutions.
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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ISBN:
(纸本)9781467323635
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 physical analysis and an assumption model for traffic accident reconstruction, together with their respective realization methods, were introduced and described; simulation technology in two-vehicle collision accident was investigated; 2-Dimension impact calculation of velocity variations before and after collision was specifically given; computer simulation system was established to analyze and reconstruct impact velocities and vehicle behaviors according to data measured in accident scene; software application in practice was also briefly discussed.
In this paper, we propose a novel algorithm for crowd simulation in real-time virtual environments. The proposed algorithm uses a navigation mesh for global planning in a polygonal multilayered threedimensional (3D) e...
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In this paper, we propose a novel algorithm for crowd simulation in real-time virtual environments. The proposed algorithm uses a navigation mesh for global planning in a polygonal multilayered threedimensional (3D) environment and crowd flow-based information to help individuals collision-free. At the same time, the proposed algorithm also focuses on addressing two problems: 1) in order to improve precision of collision-free, we propose based on hierarchy priority for collision-free of the individuals. 2) To avoid "shaking" behaviors of the individuals in the original place, we propose the stopping rule for solving it. Experimental results show that the proposed algorithm could be used for crowd simulation in complicated virtual environments.
Alzheimer's disease (AD) is the most common type of dementia and the amount of risk of AD that is attributable to genetics is estimated to be around 70%. Since 2000, cDNA microarray technology is used to identify ...
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Alzheimer's disease (AD) is the most common type of dementia and the amount of risk of AD that is attributable to genetics is estimated to be around 70%. Since 2000, cDNA microarray technology is used to identify AD-related gene (ADG), and the commonly used criterion of identification is the up-regulation or down-regulation of genes. In this paper, the following feature named resonance of gene expression is observed from gene expression profile of AD: Some genes change their expression levels synchronously with a given ADG at uncontrolled stage while their expressions are independent to the ADG at control stage. This feature likes the resonance of wave or the synchronization of a group of dancers. The genes holding this feature are related to AD potentially and are identified as the candidate ADGs. The shown characteristic at Fig. 1 is suggested with the result 0 f famous Prof Goate's group on Feb. 2012.
With emergence of online virtualreality applications, the 3D data of virtual scenes are available to heterogeneous end user devices with relatively limited computing power, resolution and transmission rate. Still, ma...
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ISBN:
(纸本)9783037851579
With emergence of online virtualreality applications, the 3D data of virtual scenes are available to heterogeneous end user devices with relatively limited computing power, resolution and transmission rate. Still, many virtual scenes created by expert developers are composed of complex 3D data models with huge number of geometry primitives and appearence elements. This complexity can cause a lot of problems when the scenes are deployed on the limited access devices. To address this issue, we propose a virtual scene adaptation framework which is able to perform the transformation of given complex 3D model into new forms with less geometric and appearance data. Through the framework, complex virtual scenes are connected with real-world semantics and are preprocessed with selected optimization strategies based on the semantic features matching client devices' capabilities before deployment.
The rich Web information makes the Web users to be drowned in the huge Web data. This paper proposes a new navigation approach termed WUMVPRSM (Web Usage Mining based on Variable Precision Rough Set Model) for Web use...
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For high-dimensional water treatment plant data sets and a single rough classifier's weak classification ability for data sets with many classes, a new computing approach, termed CMBMRCS (water treatment plant Cla...
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For high-dimensional water treatment plant data sets and a single rough classifier's weak classification ability for data sets with many classes, a new computing approach, termed CMBMRCS (water treatment plant Classification Model Based on Multiple Rough Classifier Systems), is proposed. First, by combing rough sets theory, some subset of attributes is selected. Then, each simplified data set establishes a group of rough classifiers. Finally, the water treatment plant data classification result is obtained according to the absolute majority voting strategy. The experimental results illustrate the effectiveness of the proposed methods.
For high-dimensional water treatment plant data sets and a single rough classifier’s weak classification ability for data sets with many classes,a new computing approach,termed CMBMRCS(water treatment plant Classific...
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For high-dimensional water treatment plant data sets and a single rough classifier’s weak classification ability for data sets with many classes,a new computing approach,termed CMBMRCS(water treatment plant Classification Model Based on Multiple Rough Classifier Systems),is ***,by combing rough sets theory,some subset of attributes is ***,each simplified data set establishes a group of rough ***,the water treatment plant data classification result is obtained according to the absolute majority voting *** experimental results illustrate the effectiveness of the proposed methods.
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