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BACKGROUND There has been no consensus on the optimal treatment of symptomatic sacral perineural cysts. Most previous reports concerning the management methods were either sporadic case reports or a series of limited cases. This study is to further optimize the management for patients with symptomatic sacral perineural cysts by analyzing the outcomes of a(More)
License plate recognition can be widely used in traffic direction of Olympic Games, traffic management, and so on. Because the picture of license plate is complex, the character segmentation error is a main cause of decrease of license plate recognition rate. Research on denoising and character segmentation algorithm is crucial in the license plate(More)
Pyrroloquinoline quinone (PQQ), as a well-known redox enzyme cofactor, has been proven to play important roles in the regulation of cellular growth and development in mammals. Numerous physiological and medicinal functions of PQQ have so far been reported although its effect on neural stem and progenitor cells (NS/PCs) and the potential mechanism were even(More)
In this paper, we introduce the use of least square support vector machine (LS-SVM) for the adaptive control of a class of nonlinear discrete-time systems. The solution is characterized by a set of linear equations. The results are discussed with radial basis function kernel. Advantages of LS-SVM control are that no number of hidden units has to be(More)
With the microprocessor as its core, the license plate automatic recognition system is a highly intelligent electronic system based on technologies such as image processing and pattern recognition. This paper focuses on the preprocessing before license plate recognition after locating the license plate. This paper comprehensively utilizes kinds of image(More)
A few of classic thinning algorithms are presented. Combing with the advantages of the medial axis approach and the peeling approach, propose a new thinning algorithm, and it has been used to the car plate recognition system. The experiment shows that the new algorithm provides high implement efficiency, good thinning effect, greatly improving the whole(More)
There are the problems such as slow identification, poor anti-interference capability in the traditional edge detection. In this paper, it analyzes the different traditional detection algorithms and experimental results. Based on the analysis, it proposes out the edge detection algorithm based on wavelet, and analyzes the effect of wavelet edge detection.
Selenoprotein expression in Escherichia coli redefines specific single UGA codons from translational termination to selenocysteine (Sec) insertion. This process requires the presence of a Sec Insertion Sequence (SECIS) in the mRNA, which forms a secondary structure that binds a unique Sec-specific elongation factor that catalyzes Sec insertion at the(More)
Wavelet has important apply in image processing and pattern recognition. In 2008, the wavelet technology was applied to Beijing Olympic traffic guidance transmission successfully, by locating and identifying all kinds of vehicles. This paper carries on research about the construction of binary wavelet from the practical need of signal processing and(More)