Infrastructure Engineering - Research Publications
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ItemSpatially enabling governments through SDI implementation(TAYLOR & FRANCIS LTD, 2008)Spatially enabled government requires the development of effective SDIs that will support the vast majority of society, who are not spatially aware, in a transparent manner. This paper addresses three strategic challenges arising out of the need of creating this new environment. The first of these is the challenge for more inclusive models of governance given that SDI formulation and implementation involve a very large number of stakeholders from all levels of government as well as the private sector and academia. The second concerns the promotion of data sharing between different kinds of organisation. In some cases this may require new forms of organisation to carry out these tasks. The third challenge relates to the establishment of enabling platforms to facilitate access to spatial data and the delivery of data related services.
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ItemA spatiotemporal model of strategies and counter strategies for location privacy protection(SPRINGER-VERLAG BERLIN, 2006)
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ItemMonitoring dynamic spatial fields using responsive geosensor networks(ACM, 2005-12-01)Information about dynamic spatial fields, such as temperature, windspeed, or the concentration of gas pollutant in the air, is important for many environmental applications. At the same time, the development of geosensor networks (wirelessly communicating, sensor-enabled small computing devices, distributed throughout a geographic environment) present new opportunities for monitoring of dynamic spatial fields in much more detail than ever before. This paper presents a new model for querying information about dynamic spatial fields using geosensor networks. In order to manage the inherent complexity of dynamic geographic phenomena, our approach in this paper is to focus on the qualitative representation of spatial entities, like regions, boundaries, and holes, and of events, like splitting, merging, appearance, and disappearance events. Based on combinatorial maps, we present a qualitative model as the underlying data management paradigm for geosensor networks that is capable of tracking salient changes in the network in a much more energy-efficient way. Further, our model enables reconfiguration of the communication in the geosensor network in response to changes in the environment. We present an algorithm capable of adapting sensor network granularity according to dynamic monitoring requirements. Regions of high variability can trigger increases in the geosensor network granularity, leading to more detailed information about the dynamic field. Conversely, regions of stability can trigger a coarsening of the sensor network, leading to efficiency increases in particular with respect to power consumption and longevity of the sensor nodes. Querying of this responsive geosensor network is also considered, and the paper concludes with a review of future research directions.
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ItemEvaluating the usability of a mobile guide: the influence of location, participants and resources(TAYLOR & FRANCIS LTD, 2005-01-01)
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