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Virtual learning community is an important organizational form for collaborative learning. And the learning emotion, interaction degree, knowledge test are important characteristics of learning. However, the existing constructing strategy is unable to accurately determine the matching degree between the learner and the community. The lower matching degree will weaken the learning performance of learners...
In digital image forensics, identifying whether an image has been JPEG compressed is an important issue. Although the existing methods detect JPEG compression with high accuracy, their performance is degraded by resizing, which is usually used in image tampering. In this paper, a new method based on detecting block artifacts left by JPEG compression is proposed. The proposed method exposes the block...
With the fast development of Chinese high speed railway, the demand for the maintenance of railway equipment has increased rapidly. This paper studies an intelligent diagnosis method for high-speed railway turnout based on the support vector machine. We focus on the study about the methods of generating the feature vector and propose a rule-based method that utilizes the experts' experience knowledge...
Liver disease is one of the main causes of human healthy problem. Many clinical cases are still influenced by the subjectivity of physicians in some degree. Then, the subjectivity will affect the accuracy of diagnosis and the treatment of the patients. In this paper we proposes a new Computer Aided Diagnosis(CAD) system for the cirrhosis recognition in liver ultrasound(US) images using uniform LBP(u-LBP)...
With the advent of high-efficiency technology of digital image processing and pattern classification, the research on classification for tool marks is catching forensic scientist's eyes. It is crucial for classification to extract and select the features from tool marks. In the practical situation, the geometrical shapes and the textures of tool marks are complex, irregular and stochastic. It is difficult...
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