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Renewable Energy (RE) technologies are increasingly viewed as crucially important. Knowledge that helps to predict the likely growth of emergent technologies is essential for well-informed technology management. The vast amount of available data in publications hinders the acquisition and analysis of this knowledge. Therefore, there is a need for intelligent search techniques capable of grouping semantically similar concepts together, such that, for example, terms containing "photovoltaic" are hierarchically subsumed under solar energy-related technologies. Consequently, articles related to "Photovoltaics" should be included in the analysis. To accommodate this in an automated fashion, the authors deploy a renewable energy taxonomy for comprehensive trend discovery in publications and patents. This taxonomy is based on the hierarchical structure of Wikipedia categories and their subordinate Wikipedia terms. This paper analyzes promising trends of renewable energy sources in two case studies: power generation and desalination techniques.

To realize the full potential of mobile multimedia, mobility protocols are needed to handle situations when nodes move while in a multimedia session. Many mobility protocols have been proposed for IP-based networks. In some important cases in using these mobility protocols such as mobile IPv6 with route optimization, a problem can arise when both nodes are mobile and move simultaneously. The problem is that both sides' binding updates could be lost. A few solutions have recently been proposed. A crucial indicator of the importance of the simultaneous mobility problem, and of its solutions, is the probability of its occurrence. However, previous articles have used only a simple analytical model to estimate the probability of the simultaneous mobility problem occurring. In this article, we present new and more accurate results on the variation of this probability with a number of critical variables.