Recently, mobile agents have been proposed for efficient data dissemination in sensor networks. In the traditional client/server-based computing architecture, data at multiple sources are transferred to a destination; whereas in the mobile-agent based computing paradigm, a taskspecific executable code traverses the relevant sources to gather data. Mobile agents can be used to greatly reduce the...

Have you ever suffered discrimination because you used secondary data in your research? Since the principal area of research for this article’s three authors involves the development and application of techniques for using secondary data, our answer is definitely no. However, we frequently hear complaints by colleagues who have encountered barriers to developing their theses or obtaining resear...

This paper deals with the Personalised Access to Local Information and services for tOurists (PALIO-IST 20656) Project within the fifth research framework of the European Commission. The focus is on tourists that need to access information on the city or on the region they are visiting by means of a cellular phone or at specific locations (kiosks). The PALIO project is committed to produce a pr...

by Alec Pawling In this dissertation, we address two problems associated with the development of an emergency response system that utilizes a cell phone network as a sensor network to facilitate the initiation and online validation of predictive simulations. Schoenharl [77] describes the simulation component of the emergency response system; this dissertation addresses two other significant com...

We propose a novel image-based strategy for a sub-decimetre quality georeferencing of Mobile Mapping Systems in urban areas. The presented approach uses very high resolution multiple-view calibrated aerial images to extract a database of 3D invariant objects, namely road marks. These objects are also extracted in 3D in the ground-based imagery and are matched with the aerial data source. These ...

Distributed Data Mining is the process of extracting hidden knowledge from distributed data sources. A number of DDM architectures are proposed during the last few years. Recently, Optimized Incremental Knowledge Integration Distributed Data Mining model is proposed. It is a mobile-agent based model that overcomes the drawbacks of the traditional models. In this paper, the classification mining...

Databases are increasing in size at an exponential rate, especially with the business electronization and real-time economy. Processes that were once stored on paper are now stored in databases. Sometimes errors – such as data entry, incomplete information, and unstandardized formats from different data sources – can lead to the existence of more than one representation of the same object in a ...

Changing patterns of human aggregation are thought to drive annual and multiannual outbreaks of infectious diseases, but the paucity of data about travel behavior and population flux over time has made this idea difficult to test quantitatively. Current measures of human mobility, especially in low-income settings, are often static, relying on approximate travel times, road networks, or cross-s...