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With the development of the Internet and network services, broadband user behavior tends to diversify. It is a rising challenge for the network operators to understand network user behavior. In this paper, we use the Postgres to sort the data records which are caught and extracted from the network monitoring equipment. Then we analyze the characteristics of the data by SPSS, such as login time, logout...
N-(2-chloroethyl)-N′-cyclohexyl-N-nitrosoureas (CCNUs) are widely applied as antitumor agents. However, researches have indicated that their decomposition products are inclined to cause secondary cancer. Hence it is necessary to probe into both carcinogenic and anticancer mechanism of such compounds so that effective anticancer drugs with lower toxicity can be obtained. In the present work, the DFT-B3LYP...
Similarity-based collaborative filtering systems are vulnerable to the data sparsity, cold-start, and robustness problems. Computational trust models are promising alternative solutions to alleviate these problems by replacing similarity metric with trust metric. However, they often have some shortages that rely on users' explicit trust statements. A fine-grained model computing trust from user ratings...
A new method is proposed to improve background modeling speed. First, the pixels in current frame are classified into two classes according to average background to reduce the computing load. Second, different models for instance kernel or GMM based algorithm are used necessarily to deal with 'dead lock' of scene. Third, a kernel density estimation based on neighbor correlation is used to decrease...
A robust adaptive beamformer with new constraints on the array response is proposed to avoid signal cancellation in the environment where multi-path signals exist. The robustness is achieved by forcing the magnitude response of the desired signal and its multi-path signals exceeding unity in the presumed clusters while minimizing the output power. In this way, the desired signal is conbined with its...
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