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Modeling the Internet is vital for network researches. Recent measurement studies on the Internet topology show that the degree distribution obeys the power-law distribution. However, only the degree distribution does not determine the performance of network control methods. As previous studies have shown, one of important factors to characterize the performance of network control methods in the Internet...
Recently, social networking services (SNS) have become a social phenomenon on the Internet. There are many small SNSs, including campus SNS, company SNS, and regional SNSs. Such user-limited SNSs are not fully utilized yet. To solve this problem, we propose a SNS model to simulate effective SNS encouragement methods. Simulations based on our proposed model were performed to confirm the influences...
OGC-compliant(OGC, Open Geospatial Consortium Inc.) Web Feature Services (WFSs) have gradually become an important kind of spatial data sources over the Internet. In such a distributed environment, a user may issue a query that relates two spatial datasets that are provided by two services at different sites. Because of the sheer volume and complexity of spatial data, spatial joins between two spatial...
Highlight detection is a challenge task in soccer video analysis. Using Web-casting text as external knowledge is proved to be a short cut to achieve both efficiency and effectiveness. Based on the previous framework using Web-casting text, we have improved the processes of video time detection and highlight boundary detection. Our method can detect the transparent time bar and can achieve acceptable...
This paper proposed a two layer authorization mechanism, including traditional password system and rhythm recognition. The whole system includes two phases: preprocessing and usual operation for users. In preprocessing phase, users type password in a specific rhythm in order to record and analyse the characteristics of behaviour of users. In the second phase, how to verify a user in usual operation...
In this paper, an edge driven model is proposed which allows all kinds of manipulations of complex networks that are common in most of the real-world networks. It is based on evolution features other than structural features that are employed in other models. Under this framework, a particular model is generated for reproducing the power-law distribution and the analytical results are also given.
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