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Daily toothbrushing is essential for maintaining oral health. Recently, a wrist-watch based system was designed to monitor the effectiveness of toothbrushing at home. Since toothbrushing involves complex motions of the hand and the toothbrush, advanced machine learning techniques are needed for accurate recognition. In this paper, we design a neural network classifier to recognize toothbrushing surfaces...
Now many applications need to analyze various detail contents of web pages. How to extract web information quickly and effectively becomes very important. Web information is primarily expressed by HTML. HTMLParser is an open project of SourceForge.net and can parse HTML in either a linear or a nested fashion. This paper analyzes the principle of extracting web information based on HTMLParser. In addition,...
Momentous project is a strategic project with which a country, in responding to challenges in the development of economy, society or science and technology, pools a large amount of social resources to program and put it into practice. The optimization grouping of experts is one of key problems before making the feasibility study for the momentous project. This paper constructs a mathematic model of...
The emergence of search engines set off an unprecedented storm of information. In recent years, a new breakthrough - vertical search, emerged on the basis of the general search engines, compared with the general search engines, it must be conducted on the pre-analysis. A successful vertical search engine must be based on the accurate extraction of a wide variety of Web information. However, unstable...
With the enormous growth of the World Wide Web in recent years, the issue of how to extract information from web pages efficiently, accurately and flexibly has become an important challenge for web crawler designers. Different from many other approaches, "R-G-B" algorithm is a new algorithm, which can well meet the requirement of search engines on the accuracy and the efficiency of information...
With the information explosion causing by the World Wide Web in recent years, the issue of how to execute the enormous information efficiently at a reasonable lost has become the concern of information providers, service agencies and end users. When many research focus on how to design an efficient Web crawler, we pay our attention to how to make the best of the result of Web crawler. In this paper,...
It is more and more difficult to find proper information for people in modern knowledge explosion society. Information recommendation systems can reduce information overload and provide appropriate content to targeted user. This paper proposes a new personalized recommendation technique based on mining the userpsilas reading behavior through 5W1H scheme. By comparing the user profile and the information...
As the Internet rapidly becomes one of the most important information medium, Web information mining has been the focus of several recent research projects and papers. There are massive documents in certain formats on the Internet while Web crawlers building up with millions of computers scratch the Internet pages every second. Why not combine these two efficiently? This paper describe a new thought...
In case-based reasoning (CBR) system, as the scale of case base is enlarging, the system performance is gradually dropping. This paper mainly discusses how to maintain case bases in CBR system by adopting outlier data mining and case sieving techniques. Experimental results have shown that the proposed algorithm can maintain case bases satisfactorily and stably, thus assuring the good performance...
Models of agent and ABDIDSS (ABDIDSS--distributed intelligence decision support system based on multi-agents) are defined in this paper. Approximation spaces of the agent reasoning in ABDIDSS are built up. Rough set on approximation spaces is defined. Reasoning in ABDIDSS may be realized through the means of establishing decision trees. Multi – agents comprehending to definable sets, synthesis operation...
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