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In the field of video-based fire detection, traditional fire color models have poor adaptability and susceptibleness to environmental interference. As fire can be divided into fire core, inner fire and outer fire layers depending on its temperature and color, a new fire detection model based on dispersion of fire color components has been proposed by the author. In order to further reduce false alarm,...
The Wigner Hough Transform (WHT) is an elegant way in extracting key information of linear Frequency Modulation (LFM) signals such as initiatory frequency and chirp rate, which are illustrated as Doppler parameters of radar echoes. However, high computation complexity and large memory requirements were inherent disadvantages of the traditional WHT, which results in difficulty in practical application...
New technological advances in large-scale protein-protein interaction (PPI) detection provide researchers a valuable source for elucidating the bimolecular mechanism in the cell. In this paper, we investigate the problem of protein complex detection from noisy protein interaction data, i.e., finding the subsets of proteins that are closely coupled via protein interactions. Many people try to solve...
Failure detection is a key technology to implement a high reliable system. It is usually based on overtime mechanism to determine whether a process is failure or not. With the development of network, old failure detectors without adaptive mechanism can not meet the requirements of QoS of application all the time. Adaptive failure detection requires that the failure detectors can dynamically adjust...
A major challenge in the post-genomic era is to determine protein function on a proteomic scale. There are only less than half of the actual functional annotations available for a typical proteome. The recent high-throughput bio-techniques have provided us large-scale protein-protein interaction data, and many studies have shown that function prediction from protein-protein interaction data is a promising...
Bankruptcy prediction has been one of the most challenging tasks and a major research topic in accounting and finance. In this paper, bagging ensemble, a popular technique in the machine learning community, is proposed to improve the prediction performance of artificial neural networks in bankruptcy prediction analysis. The experiments conducted on the public dataset show that the proposed approach...
Current prefetching models mainly depend on prediction algorithms to fetch Web objects in advance, but lack the consideration of the prefetchability of Web objects. If the prefetchability of the objects can be considered before prefetching, unnecessary prefetching will be decreased to some extent. On one hand, it can improve hit ratio of prefetching algorithms, on the other hand it can reduce unnecessary...
With the rapid development of the Internet, Web log mining, which is used to find useful information about users from Web log files, has become a heat issue of research. The aim of association rule mining is to find interesting and useful patterns in a transaction base. This paper makes use of variable precision rough set theory to retrieve the associated rules from Web log and applies the rules to...
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