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By Yang Bo, Li Yingfang, Li Junsheng, Sun Jianhong (auth.), Yanwen Wu (eds.)

This six-volume-set (CCIS 231, 232, 233, 234, 235, 236) constitutes the refereed lawsuits of the overseas convention on Computing, info and keep an eye on, ICCIC 2011, held in Wuhan, China, in September 2011. The papers are equipped in volumes on cutting edge Computing and knowledge (CCIS 231 and 232), volumes on Computing and clever structures (CCIS 233 and 234), and in volumes on details and administration Engineering (CCIS 235 and 236).

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Additional resources for Computing and Intelligent Systems: International Conference, ICCIC 2011, Wuhan, China, September 17-18, 2011. Proceedings, Part IV

Sample text

From the tagging behavior perspective, on the other hand, the EC of TI2 is higher than the EC of TI1 and the EC of TI5 is higher than the one of TI9. 4 Evaluation The whole experimental procedure was separated into representative user discovering phase and correlation verifying phase. In the former phase, tagging users are sorted with EC in each month and certain portion of all the users with highest EC was regarded as the representative users according to the given ratio. In the latter phase, the representative users’ TBs and the correlation mentioned above were evaluated.

Cn Abstract. This can cause abnormality in the following Rapid Prototyping and have effects on the application of STL models. This paper get the relation of points, edges and surfaces by creating topology for STL model, and introduce graph data structure that representing the edges which in only one triangle. The points list of a hole can be got by using Breadth-first traversal of graph. And then get the holes which are caused by crack based on the characters of crack. So, design the repair algorithms based on different characters of errors.

Li Jiahou et al. (2007) deemed the social network analysis as a new method for the educational communication research in the network age. Wang Lu(2006, 2007) studied the quality of knowledge building in the interactive asymmetric network synergistic learning via the social network analysis, with the focus on the content analysis of interactive learning communication, and explored the research from the angle of individual case at the same time. The researches mentioned above mainly aim at the non-structural network learning environment, and there are few researches adopting social network analysis for studying the knowledge building problem in the well structured informationalized class teaching environment, especially for the class knowledge building in the specific cultural context.

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