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Advantages and disadvantages of two common algorithms frequently used in the moving target detection: background subtraction method and frame difference method are analyzed and compared in this paper. Then based on the background subtraction method, a moving target detection algorithm is proposed. The background image used to process the next frame image is generated through superposition of the current...
This paper proposes a novel anti-geometrical attacks digital image watermarking scheme. In the scheme, a kind of template watermark is proposed, and we embed template watermark as well as robust watermark into images. The template watermark is designed to detect the geometrical transformation, and the robust watermark is used for labeling the copyright. Given a disputed digital image, we first implement...
Immune algorithm is a rising algorithm which simulates the organism immune system by computer. One of the immune algorithms named clonal selection algorithm is widely used due to its adaptability, implicit parallelism and diversity. A fitness function is constructed in this paper by using protein folding restrictions, such as amino acids' hydrophobicity rule, protein's secondary structure folding...
One-dimensional cutting-stock is one of the classic NP-hard problems in combinatorial optimization. It is widely applied in engineering technology and industrial production. In this paper, an improved ant colony optimization is proposed based on the optimized one-dimensional cutting-stock model. Aiming at the specific characteristics of the problem, a series of improvement strategies are proposed,...
Clustering technology is the core technology of text mining. Through text clustering, a large number of text messages can be divided into several meaningful classes or clusters. According to the features of Chinese documents, this paper designs and implements the Chinese Text Clustering System to perform automatic clustering of Chinese documents. Firstly, this system will carry out Chinese word automatic...
This paper extracts automotive marketing information, constructs data warehouse, adopts an improved ID3 decision tree model and an association rule model to do data mining, and then obtains prediction information of automotive customers' behavior. Experimental and comparative results verify the validity and accuracy of the prediction results.
Web forum has become an important resource on the Web due to its rich information contributed by millions of Internet users every day. Meanwhile, thousands of junk or valueless messages exist in Web forum. Recognizing high-quality topics should be fundamental tasks in search engine and Web mining systems. However, it is not a trivial problem to quantify high-quality topics on web forum. Users face...
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