17,902 research outputs found
A Fast Order-Based Approach for Core Maintenance
Graphs have been widely used in many applications such as social networks,
collaboration networks, and biological networks. One important graph analytics
is to explore cohesive subgraphs in a large graph. Among several cohesive
subgraphs studied, k-core is one that can be computed in linear time for a
static graph. Since graphs are evolving in real applications, in this paper, we
study core maintenance which is to reduce the computational cost to compute
k-cores for a graph when graphs are updated from time to time dynamically. We
identify drawbacks of the existing efficient algorithm, which needs a large
search space to find the vertices that need to be updated, and has high
overhead to maintain the index built, when a graph is updated. We propose a new
order-based approach to maintain an order, called k-order, among vertices,
while a graph is updated. Our new algorithm can significantly outperform the
state-of-the-art algorithm up to 3 orders of magnitude for the 11 large real
graphs tested. We report our findings in this paper
Image Type Water Meter Character Recognition Based on Embedded DSP
In the paper, we combined DSP processor with image processing algorithm and
studied the method of water meter character recognition. We collected water
meter image through camera at a fixed angle, and the projection method is used
to recognize those digital images. The experiment results show that the method
can recognize the meter characters accurately and artificial meter reading is
replaced by automatic digital recognition, which improves working efficiency
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