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This paper established a multi-level extension model for function effects post-evaluation of substation construction project, the model not only reduces the influence of subjective factors on the evaluation results, but also can determines the key factors which affect the quality of the evaluation results and overall developing trend of the project and provides some suggestions for the project late operation. Taking into account the fact that the element of the judgment matrix formed by traditional AHP is a certain value and may lead to a big difference from the judgment matrix formed by the different group of experts, thus reduces the credibility of the evaluation results; In order to overcome the problem, this paper introduces the concept of interval number, the maximum and minimum of judgment matrix elements relative importance comparison are used as the upper and lower limits of interval number respectively. Interval number are used as the elements of judgment matrix to make the evaluation result more rational. At the end, a practical 220kV substation construction project is taken as an example to verify the validity and rationality of the established model.

With the development of modern aircraft, and the increasing aircraft performance day by day, the pilot need gain more and more information. The application of the large screen makes a lot of flight information on one display monitors. The large screen display picture is composed of several child pictures, which need several displayers formerly, but the display operation is not as convenient as traditional independent operating monitors. This paper proposes a method based on sprite in large screen display contrast and adjustment, through the collection of pilots’ touch screen operation information on the screen. And then it implements the sprite window open and the adjustment of the contrast in the FPGA. Using the proposed approach, the pilot can easily adjust the contrast of sprite in the large screen display, meeting the modern aircraft in all aspects of the mission requirements.

An increasing web services run in mobile context. Context may influence customer potential needs and buying behaviors in some specific situation. However existent customer segmentation method do not attach importance to context factors, which weakly support the development of context-sensitive mobile service . Therefore a mobile customer segmentation method based on context is proposed and validated by a case. The further research is mentioned in the end of the paper.

The knowledge of preference drift is important to maintain the user’s preference accurate. With the swift development of mobile service the recognition of such knowledge has attracted immense attention in recent times. However, existing research based on clustering is inadequate for the description of item objects with weak N-ary associations. This paper, through the analysis of contextual recommendation, proposes a “hypergraph model” for contextual items. Furthermore, similarities between pair of items, item clusters and the degree of user preference drift are defined. Based on above definitions, a method to discover user preference drift is proposed. In addition two experiments are being carried out to validate its significance.