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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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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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.
With emergence of online virtual reality 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 virtual reality 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.
Alzheimer's disease (AD) is the most ordinary kind of dementia. Identifying genes associated with AD is a new topic, and the key is to design algorithm to search AD genes. Gene order is a permutation of genes in w...
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Alzheimer's disease (AD) is the most ordinary kind of dementia. Identifying genes associated with AD is a new topic, and the key is to design algorithm to search AD genes. Gene order is a permutation of genes in which similar genes are ordered together. In this paper, a function is defined on gene order, and function value measures the similarity degree between a gene and its neighbors. Through the function value, the neighbors of a gene can be identified. The genes keeping as neighbor of AD gene (APOE, presenilins 1 or 2) at any stage (control, incipient, moderate, severe) are identified as the candidate of the gene associated with AD, where AD gene has been proved acting risk factor of AD. Experiment results of this paper have been proved some genes associated with AD.
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