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In order to avoid the frequent severe crashes, it is crucial to find out the main influential factors of these crashes, according to previous crash data. The paper analyzed the importance of various factors based on the human-vehicle-road system, using two methods of multivariate statistical analysis (cluster analysis and factor analysis). The data of 166 severe traffic crashes, each causing 10 deaths...
Rolling bearing vibration signals are born with an apparent non-Guassianity, higher order spectrum is an effective way to analyze this kind of signals. The analyzation methods of bispectrum and bicoherence will be introduced into fault diagnose of rolling bearing in this article, these can be shown by giving the graphs of the bispectrum and bicoherence under three different working conditions which...
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam from client side. To effectively detect the attack activities of the spammers and fast trace back the spam sources, it is also essential to employ cluster analysis to comprehensively filter the image emails on the server side...
Image spam is a type of e-mail spam that embeds spam text content into graphical images to bypass traditional text-based e-mail spam filters. To effectively detect image spam, it is desirable to leverage image content analysis technologies. However, most previous works of image spam detection focus on filtering the image spam on the client side. We propose a more desirable comprehensive solution which...
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