Massive open online courses (MOOCs), which offer open access and widespread interactive participation through the internet, are quickly becoming the preferred method for online and remote learning. Several MOOC platfo...
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SYVR is a real-time simulation graphic engine focusing on equipment manufacturing. It is based on decades of research works of physics simulations, is able to provide services like real-time simulation for key parts o...
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ISBN:
(纸本)9781538684986;9781538684979
SYVR is a real-time simulation graphic engine focusing on equipment manufacturing. It is based on decades of research works of physics simulations, is able to provide services like real-time simulation for key parts of devices, large-scale com-plicated situation simulation, virtual experiment, operational training, visualization of concept design and etc., which con-sist of the whole process of virtualmanufacturing and simulation. SYVR can provide comprehensive technology support for industrial 3-dimensional data, accelerate applications of VR to all aspects of industry, cut down development costs of equipment manufacturing significantly, highly increase effi-ciency of equipment design, and promote development of equipment manufacturing.
UL1741 rules that to realize the islanding detection, the inverter must stop running within 2s after the main grid failure occurs. However, with the increasing of the capacity of distributed generation system, in orde...
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K-means sequence clustering is a hot topic in data mining. However, the clustering quality of K-means is affected heavily by outliers and noises. In this paper, a new sequence similarity measurement, sequence density ...
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There not only exists the relation of the functional dependency and multi-valued dependency in XML data constraint,but also exists the relation of data dependency obtained only from a certain existing relationship ins...
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ISBN:
(纸本)9781138026445
There not only exists the relation of the functional dependency and multi-valued dependency in XML data constraint,but also exists the relation of data dependency obtained only from a certain existing relationship instance that is *** reducing data redundancy,in this paper,the concepts of XML functional dependency and XML multi-valued dependency based on the path expression in the Document Type Definition are *** then the inference rules on the condition of the coexistence of functional dependency and multi-valued dependency in XML are ***,the validity and completeness of the inference rules are *** above-mentioned fundamentally solves the problems of implication of functional dependency and multi-valued dependency in XML data,laying a theoretical foundation for XML database design.
In three-dimension space, with the minimum bounding rectangular (MBR) of any type of object's projections in xoy and xoz planes, there are four possible types of projection: minimum bounding rectangular, horizonta...
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In order to remove the noise of three-dimensional scattered point cloud, and to smooth point cloud model effectively, an algorithm which uses different filtering strategies on different feature regions of a point clou...
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The formal model of spatial directional relations is one of the most important parts in spatial relation research. The most of models are based on Minimum Bounding Rectangle (MBR), and they are not compliant with the ...
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The formal model of spatial directional relations is one of the most important parts in spatial relation research. The most of models are based on Minimum Bounding Rectangle (MBR), and they are not compliant with the regular pattern of human cognition. In order to get a closer conclusion to human cognition on directional relationship, Angle Histogram model based on Double-projection and Rounded-subdivision (AHDPRS) is proposed in this paper. The model uses the maximum inscribed circles to find out the maximum parts of the object, and calculates the directional relationship between the centers of the circles. This model ignores the inessential details to ensure the result which will be closer to human cognition. The experiments show that this model is feasible.
Since the SIFT feature point extraction algorithm with scale changes, rotation transformation invariance, is widely used in image registration. In this paper, the SIFT algorithm is applied to three-dimensional point c...
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Since the SIFT feature point extraction algorithm with scale changes, rotation transformation invariance, is widely used in image registration. In this paper, the SIFT algorithm is applied to three-dimensional point cloud coarse registration, the proposed 3DSIFT extraction algorithm is suitable for three-dimensional point cloud data, then point coordinates, curvature, the nearest neighbor distance mean and other information compose fourteen-dimensional vector to conduct correspondence match, use the interior point rate of Ransac to obtain optimal transformation, and finally transform the coordinates for source point clouds using the optimal transform, complete the point cloud data coarse registration. Experimental results show that our coarse registration algorithm can effectively extract feature points, and it is robust for the point cloud with noisy point, it can provide accurate and effective initial value for the precise registration such as ICP.
In order to effectively eliminate outliers and noise points in 3D scattered point cloud, a denoising smoothing algorithm which is the combination of removing outliers algorithm and trilateral filter is proposed. This ...
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