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Dynamic sources, which make regularly updated data available for use by other applications, are increasingly a key enabling feature of the web. They are extensively used in all sorts of social media applications where they are re-combined in multiple ways to generate new aggregate services. Public situated displays are an emergent area where dynamic sources can also play a key role in providing situated and frequently updated content. However, the specificities of public displays raise the need for automated selection of the most relevant sources to present. This study addresses relevance from the perspective of timeliness. We propose a timeliness model that supports the most common types of dynamic source. To validate that model, we set an experiment with a public display exhibiting content from dynamic sources and receiving from users feedback on its timeliness. The results from this experiment suggest a reasonable match between our model and the users’ perspectives on timeliness. The results also show that the model is able to make comparative calculations of timeliness for different types of dynamic source. These results enable us to conclude that timeliness functions may help to significantly increase the relevance of content automatically selected from dynamic sources.

In recent years, there has been enormous research interest in natural resources monitoring. So, there is a need to develop easily accessible, cheap and reliable information systems for monitoring and early warning, which could be used in most natural resources. This paper presents an ongoing information system development that aims the monitoring and supervising of some parameters on water supply, such as quality and quantity. To implement our system we use several technologies in order to monitoring about 100 water tanks in an area of ±1000 Km2. In these technologies is included GSM communication, web infrastructure and sensing equipment that allows the access of information from any place of the world. In paper sections the main blocks of the system architecture are described in detail.

This paper presents a study on three simulation tools for Wireless Sensor Nertworks (WSNs): Network Simulator 2 (ns-2), Java Simulator (J-Sim) and Sensor Network Emulator and Simulator (SENSE). We present the concept of WSNs, each simulator in terms of its features, a view on current applications of WSNs on medicine and a comparative study on the simulators studied. We conclude that SENSE presents the better approach for WSNs.