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In recent years, various sensors have been integrated into smartphones to sense the slight motions of human body. However, security researchers found that these sensors can not only be used in motion detection, but also as side-channel to reveal users' privacy data by inferring keystrokes. What is worse, as defined in W3C specifications, the mobile web applications can get these sensor readings silently...
Since the traditional detection method of wheat quality was tedious and time-consuming, near infrared reflectance spectroscopy (NIRS) combined with RBF artificial neural network was used to classification and detection wheat quality non-destructively and quickly in this paper. The ware point of samples obtained by the NIRS is too many, resulting in the structure of RBF neural network is too complex,...
Clustering may be named as the first clustering technique addressed by the research community since 1960s. However, as databases continue to grow in size, numerous research studies have been undertaken to develop more efficient clustering algorithms and to improve the performance of existing ones. This paper demonstrates a general optimization technique applicable to clustering algorithms with a need...
In this paper, we describe a set-based approach for mining association rules and finding frequent sequential patterns in customer transactional databases. The set-based approach is a direct improvement of the original association rule mining algorithms proposed by R. Agrawal and R. Skrikant. Our approach relaxes the constraints described in Apriori (All/Some), and improves the performance while being...
Bezier curves have become fundamental tools in many challenging and varied applications, ranging from computer- aided geometric design to generic object shape descriptors. Bezier curves have wide applications because they are easy to compute and very stable. Based on analysis of Bezier curve, the problem of the shortest Bezier curve is discussed in this paper. Furthermore, the particle swarm algorithm...
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