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Composite event processing systems are useful in various application domains such as stock data stream monitoring, RFID data management, web access pattern monitoring, etc. The tree-based method is a typical method for implementing composite event processing system. In this paper, we introduce an optimization method called "condensed composition" for the tree-based composite event processing...
Whether the fractal images can be applied to design, depends on the degree satisfaction of users for images. In images, colors are the main visual factors of affecting emotion; it is used as the determinant in fractal images evaluation. The evaluation of color design is nonstatistical; it is easy to bring evaluating deviation because of personal bias. Using artificial neural network, the color psychological...
Stock market is an important segment of the financial system of a country. This paper empirically studies the relationship between China's stock market after the equity division reform and macroeconomic factors in the background of international financial market integration, using methodology of VAR to incorporate the influence of the international stock market into the model, together with the impulse...
Stock price variation predictions are at the core of many research issues, and neural networks (NNs) are widely applied and were proven to be more efficient than time series forecasting for stock price forecasting. However, this type of research always determines the parameter settings of the NNs rationally through a trial-and-error methodology. This paper integrates design of experiment (DOE) and...
In view of the data limitations for mountain wetland, we validated the application of high spatial resolution satellite imagery and DEM for mountain wetland conservation and restoration in this paper. Dajiuhu wetland, a rare sub-alpine wetland which is threatened by degradation and currently poorly understood, was select as the study area. Although there are scarce of basis data in Dajiuhu wetland,...
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