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In this paper, a new method of damage identification is presented based on the time series of structure acceleration data. Firstly, the acceleration data of undamaged structure is extracted and partitioned into several stream, the auto regressive (AR) coefficients of all data streams are served as reference sample. Secondly, the AR coefficients of damaged structure acceleration data are added into...
The risk of common diseases is likely determined by single nucleotide polymorphisms (SNPs). However, due to the tremendous number of candidate SNPs, there is a clear need to genotyping by selecting only a subset of all SNPs that are highly associated with a specific disease. In this paper, a new algorithm which is based on a hybrid of binary Particle Swarm Optimization (BPSO) and estimation distribution...
SIFT feature matching algorithm, which has good robustness to image rotation and zoom scale, is a certain degree of stability on the angle changes and affine transformation. It also has the more stable match capacity on images which are taken from any point of view. It has been widely used in the field of wide baseline stereo matching. But the biggest problem is that extracts too many feature points,...
With the rapid development of high-throughput genotyping technologies, more and more attentions are paid to the disease association study identifying DNA variations that are highly associated with a specific disease. One main challenge for this study is to find the optimal subsets of Single Nucleotide Polymorphisms (SNPs) which are most tightly associated with diseases. Feature selection which might...
Media consumers who are overwhelmed by multitudinous news content demand a system that would sift through tens or hundreds of broadcast TV channels on a daily basis to capture the most important clips that match users' interests and deliver these personalized clips for easy viewing on a typical TV or home PC. In this paper, we present a personal media alert system that extracts video segments for...
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