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In the process of generating a surface model from point cloud data, a segmentation that extracts the edges and partitions the three-dimensional (3D) point data is necessary and plays an important role in fitting surface patches and applying the scan data to the manufacturing process. However, it is always difficult to extract the exact edge points because the scan data consist of discrete points and...
This paper analyses the deficiency of SVM-RFE feature selection algorithm and puts forward a new feature selection method combined with SVM-RFE and PCA. Firstly, we get the optimal feature subset through the method of cross validation based on SVM-RFE. Then, we use the PCA method to analyse the main component about optimal feature subset and get a lower-dimension and independent data sets which are...
In this paper, the almost periodicity and pseudo almost periodicity are generalized to n-dimensional space, and their properties are considered. Applying the properties we get, and the contraction fixed point theorem, we prove the existence and uniqueness of the pseudo almost periodic solutions to the nonlinear n-dimension heat equation.
Research the accurate detecting problems of automobile temperature sensor. For automobile temperature structure is complex and work under the conditions of high temperature and pressure, the conventional sensor faulted detection method is subjected to modeling error and external interference, which causes an improper diagnosis. In order to improve the detection accuracy, this paper put forward a fault...
2D barcode images are always obtained in the complex background or uneven illumination situation. Basing on wavelet multi-resolution analysis, we propose a novel binarization method to 2D barcode images. Extracted from low frequency of the sub-image after wavelet decomposing, the feature vector is used as the adaptive threshold of the binarization process to the original image. By optimizing the threshold...
The traditional KNN algorithm for text classification has some insufficiencies, an improved KNN algorithm has been presented in this paper. By use of the clustering center vector, we put the distance of the be classified text and the text category into the similarity calculation formula, and take the ratio of the number of common features appear in two texts and the maximum number of respective features...
A robust aspect ratio based agglomeration algorithm to generate coarse grids for unstructured grid and hybrid grids is proposed in this paper. The algorithm focuses on multigrid techniques for the numerical solution of Navier-Stokes equations, which conform to cell-centered finite volume scheme, combines isotropie vertex-based agglomeration and high-stretched cell-based directional agglomeration to...
In this paper we study on a tracing system for infrared target and propose an optimized algorithm to track and recognize the objects such as flying target. So we need to detect the moving targets from the background in image sequences, and keep track of them by the Kaiman filter algorithm and image processing. In the first stage, we segment the moving regions from the background area with GMM(Gaussian...
In this paper, a signal reconstruction algorithm using the scaled conjugate gradient method for periodic nonuniform distributed sampling systems, with applications to the time-interleaved ADCs is proposed. A series of simulation experiments are conducted to compare the performance with the previously proposed algorithms. The results addresses that the proposed robust reconstruction techique provides...
The electromagnetic scattering of a complex target with large electrical size could not be solved by the analytical and the numerical methods. In this paper physical optics (PO) is used to solve this problem. Although compared with numerical method, such as the method of moment (MoM) and the finite difference time domain (FDTD), the PO costs shorter executing time and needs less memory, it should...
Solving linear equations is key in many scientific research and engineering computing, in order to solve effectly large-scale linear matrix equalities, the traditional algorithm for solving linear equations is analysed and iterative methods is introduced to improve efficiency and reduced storage and algorithm simple. The methods suggested conjugate methods is an effective in storage and compution.
Direct Torque Control(DTC) technology is a high-performance communication control method, to obtain high torque dynamic performance, DTC technology uses the space voltage vector method, and then to the inverter switch state control. But none of the switching states is able to generate the exact voltage vector to produce the desired changes in torque and flux in most of the switching instances. This...
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