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All sorts of Malwares severely threaten users in Internet. These malwares do share some common characteristics, despite malware and its variants may vary a lot from content signatures. The common characteristics they shared can be used to reveal the real intent of malware. In this paper, we study on the behavior characteristics of malwares in Internet, and based on which we present the method to extract...
In this paper we present a model to predict the stock trend based on a combination of sequential chart pattern, K-Means and AprioriAll algorithm. The stock price sequence is truncated to charts by sliding window. Then the charts are clustered by K-Means algorithm to form chart patterns. Therefore, the charts form chart pattern sequences, and frequent patterns in the sequences can be extracted by AprioriAll...
The paper adopts the fuzzy c-means text mining method in lots of text mining methods. But aim at the defect that the initial value of the fuzzy c-means is more sensitivity and poor stability, an improved GAFCM text mining method has been put forward. GAFCM uses global search features of genetic algorithms to improve the fuzzy c-means. Finally, it has proved that the improved text mining method has...
Wind power is one of the most rapidly growing renewable energies for power generation nowadays. However, operation of power systems becomes challenging due to intermittent characteristics from wind energies. Consequently, effective wind power forecasting is crucial because of the economic consideration and operation. This paper presents a novel technique for short-term wind power and wind speed forecasting...
A chilled ceiling panel using PCM is developed. Study has research on its thermal performance and analysis on heat transfer mechanism. Phase change process of PCM has three stages, solid Mushy and Liquid. Mathematic model is built for the cool room and simulation is made to evaluate the thermal performance. Contact thermal resistance and conduction shape factor are taken into consideration. Existence...
Aggregation is among the core functionalities of OLAP systems. Frequently, such queries are issued in decision support systems to identify interesting groups of data. In conventional settings, the queries take a long time to compute (hours!) and produce massive result-sets at varying degrees of aggregation. Providing real time analysis results to Web users can enhance the utility of sites dealing...
With the rapid development of geophysical surveying in China, the geophysical data is increasing quickly. However, it is still a challenge of how to improve the efficiency of data processing and interpretation. Most of the local anomalies are shown as local protuberances on profiles which are similar with hills in the digital elevation model (DEM). Based on ridge lines and the local greatest gradient,...
Decoupling of multiple coupled photonic crystal waveguides are investigated numerically on the basis of self-imaging principle. An optimization way is utilized to enhance the decoupling efficiency.
Aggregation is among the core functionalities of OLAP systems. Frequently, such queries are issued in decision support systems to identify interesting groups of data. When more than one aggregation function is involved and the notion of interest is not clearly defined, skyline queries provide a robust mechanism to capture the potentially interesting points where (i) users do not need to specify a...
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