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The objective of this paper is to provide an efficent method to reduce the attributes of an incomplete decision table. By introducing a rough set-based measure into the fitness function of genetic algorithm, a new reduct method is proposed. Experiments show that the proposed method can dealing with the attribute uncertainty more accurately and get the accurate reducts in a fast time.
Big Data will have a profound impact for the future of science and technology and economic development. The direct purpose of doing scientific research on Big Data is rapidly obtaining valuable information from a variety of types of data. Study on effective and simple data representation method is one of the technical problems which must be solved in the network big data processing. This paper proposes...
Music industry is one of the traditional industries that is deeply influenced by the new computing strategy for big data. This paper aims to discuss a new solution for the digital music dissemination in big data era. By analyzing the features of big data, the key points of digital music dissemination and the participants in this industry, we put forward a dissemination model for digital music and...
In order to find the solution to the problems in collection and identification of the weak electrical signals in the physical environment, this paper, based on the analysis of the relevant principles, presents a denoising method using multilevel threshold based on the detailed coefficients of Daubechies wavelet transform through a deduction process of the method. This method uses the analysis of the...
With the development of information technology in biomedical signal detection, processing and digital image signal processing, the role of automatic visual recognition becomes more important. In this paper, in order to effectively extract the feature information of human viruses (HV) microscopic images, an algorithm of HV microscopic image feature extraction and recognition using gray level co-occurrence...
In this paper, HSV based text on histogram (HSV-TH) is proposed for content based image retrieval (CBIR). The HSV-MT is proposed in contrast to the RGB based text on histogram (RGB-TH). The proposed HSV-TH method is based on Julesz's textons theory, and it works directly on nature images as shape descriptor and a color texture descriptor. HSV-TH integrates the advantages of co-occurrence matrix and...
In image-guide intervention, 2D/3D image registration provides the surgeon with the precise positions of patient. Successful registration involves many aspects, such as similarity measures and optimization methods, and they had the different influence on the registration results. In order to investigate the respective influence of similarity measures and optimization methods in 2D/3D image registration,...
In view of underwater acoustic complex broadband signal and power amplification matching difficulties of problem, there presenting underwater acoustic broadband power amplifier and matching system generator methods based on virtual instrument technology, and designed the multifunction underwater acoustic broadband amplifier signal generator and controller system for underwater sound transmitting transducer...
In this paper, we propose an interactive clothing image segmentation method based on super pixels and Graph Cuts. Firstly, we process the image from pixels to super pixels with the method of SLIC to reduce the computational loads and lower the effect of noise, and then a graph is constructed using super pixels as nodes. Finally, min-cut/max-flow algorithm is applied to solve the energy function. In...
Three-dimensional reconstruction of medical images can provide the direct, real sense for doctors and play an important role in clinical medicine. The medical images can be reconstructed by using the VTK (visualization toolkit). In this paper, we proposed a new method for medical image reconstruction platform which is developed based on ITK (Insight Segmentation and Registration Toolkit) and VTK....
The so-called image registration is to find an optimal spatial transformation such that the transformed template image becomes similar to the reference image as much as possible. Several partial differential equations (PDEs) based variational methods can be used for deformable image registration, mainly differing in how regularization for deformation fields[1]. Regularization techniques based on total...
As most license plate positioning system have some disadvantages such as real time difference, a large amount of calculation, the lower positioning accuracy, in this paper, it is used the license plate location method based on gray-scale images and morphological, and it is designed software and hardware design Using DSP TMS320DM648 as processor. The experimental results show that the system has higher...
The development of automatic video annotation technique is still in the primary stage compared to the image automatic technique. The existing methods have many drawbacks in the universal applicability and efficiency. Against to these existing problems, this paper proposes a new video annotation technique based on the RGB and Lab color space. This method structures a 4096-dimensional feature vector...
The detection of cracks on solar panel surfaces is the most important step during the inspection of solar panel, and it has very important practical significance. Recently some automated crack detection techniques that utilize image processing have been proposed. But these methods costs lots of computation time and didn't get a high accuracy. Aiming at some problems of the existing algorithm, we proposed...
This article describes the reasoning queries related concepts, analyzes the deficiencies in Jena general rule, as well as the need for custom rules. Then put forward a set custom rules constructor. Finally, designs the corresponding SPARQL query specification to achieve the related custom inference rules.
One method was proposed in this paper which can update observed data sparsely and reconstruct the scene model densely so that the monocular vision system can observe and reconstruct the target dynamically. On one hand, by combining the classic solutions for observation systems and introducing the coher-ence-detection and the maintenance-judgment into it, sparse updating and optimization was fulfilled...
Facility layout problem in reconfigurable manufacturing systems is a vital but complex research issue, and greatly impacts the system performance. This paper dealing with layout problems considers adequately the complex characteristics of the studied manufacturing systems. The reconfigurability of manufacturing system facilities is also taken into account when formulating the layout design problem...
We propose a method for conducting parallel state space exploration using grid computing. It is based on a partitioning method for a configuration of multiple hash tables with proven efficiency in reducing the number of address collisions and the amount of required memory. This paper presents the initial results of simulating the method, showing that for specific state spaces, it might be advantageous...
As a kind of Chinese culture, Chinese Kung-fu has been very popular in movies and TV programs and attracted the interest of people all over the world. The paper address the problem to recover Chinese Kung-fu from video sequence for further use in computer games. Human motion capture for animation and VR has reached a level of capturing real motion data from people using various visual and non-visual...
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