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Magnetic flux leakage detection will generate a huge amount of data on pipeline surface defects for sure. Therefore, in order to improve the accuracy and efficiency of defect detection, it is significant to find out the appropriate method of extracting and analyzing the defect data. This thesis mainly studies and analyzes the magnetic flux leakage data detected from the pipelines, and mainly realize...
Perception of images shape is the key point of electrostatic tactile interaction in the field of Virtual Reality and Human-Computer Interaction. In this paper, we present an electrostatic tactile-rendering algorithm for images shape feature under Gaussian bumps, which extracts heights of images shape by using the method of shape from shading. We analyze the force corresponding relationship between...
Recommendation systems represent a popular research area with a variety of applications. Such systems provide personalized services to the user and help address the problem of information overload. Traditional recommendation methods such as collaborative filtering suffer from low accuracy because of data sparseness though. We propose a novel recommendation algorithm based on analysis of an online...
Pixel-domain analysis methods are widely adopted in background modeling, some of which are not only concerned by academia but also coming into view of industry. However, as the increasing data volume of video, how to process and analysis videos in a fast and effective way has still been an intractable problem in practical applications. Under this circumstance, surveillance video analysis in the compressed...
This paper adopts artificial neural network to identify the relationship between personality and handwriting of Chinese characters. The handwriting feature studied here is character spacing, which is extracted by samples scanning and image processing. And the personality factors are obtained by Cattel??s 16PF. Results of 16-8-1 neural network show that the association is significant between 16 personality...
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