Context gateway for physical spaces

Xue, Wei; Pung, Hung Keng; Sen, Shubhabrata; Zhu, Jian; Zhang, Daqing

doi:10.1007/s12652-010-0041-z

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…In fact we argue that current geospatial technologies allow extending the traditional concepts of Ambient Intelligence to a wider territorial-scale scenario (Xue et al 2010;De Amicis and Conti 2011). The information exchanged, which ranges from geographical data (motorway route, junctions, toll booths, etc.…”

Section: Introductionmentioning

confidence: 99%

Service oriented computing for Ambient Intelligence to support management of transport infrastructures

Amicis

Conti

Piffer

et al. 2011

J Ambient Intell Human Comput

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Ensuring effective Ambient Intelligence based upon the wide range of static as well as real-time datasets required to manage a transport infrastructure such as a motorway, is a daunting task. This paper presents how this challenge has been faced through the development of a service-based networked infrastructure capable to make a wide range of Geographical Information (GI) available to the operators of a major Italian motorway. In doing so, the system has used open standards from ISO and Open Geospatial Consortium. Unlike current Spatial Data Infrastructures (SDIs), which address relatively static data in time slices, the work presented allows, similarly to traditional GIS, to manage true dynamic data available through geo-referenced sensors along the motorway. The main objective of the project described within this paper was to link existing systems and networks to deliver a comprehensive, coordinated and sustained intelligent infrastructure which can be used to improve management of the motorway as a system. This approach follows the vision of Ambient Spatial Intelligence, which explores how to better embed intelligent features to respond to spatio-temporal queries and to better monitor geographical events within built and natural environments. The combination of information available from different sources (GI, sensor networks, etc.) with information on traffic and vehicle situation is essential to provide context awareness to operators. The networked platform developed has extended the traditional concept of SDIs with an unprecedented volume of real-time geo-referenced sensor data, deployed along the motorway path, all characterized by high spatial and temporal resolution.

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Section: Introductionmentioning

confidence: 99%

Service oriented computing for Ambient Intelligence to support management of transport infrastructures

Amicis

Conti

Piffer

et al. 2011

J Ambient Intell Human Comput

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Putting Personal Smart Spaces into Context

Roussaki

Kalatzis

Liampotis

et al. 2015

Handbook of Research on Innovations in Systems and Software Engineering

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The convergence between mobile telecommunications and the Future Internet opened the way for the development of innovative pervasive computing services. The self-improving Personal Smart Spaces (PSSs) are coupling next generation mobile communications facilities with the features provided by the static smart spaces to support a more ubiquitous, mobile, context-aware, and personalised smart space. Addressing the advanced requirements of PSSs regarding the establishment of a robust distributed context management framework is a challenging task. Evaluating such a system is not a straightforward process, especially when it is also based on comparative assessments of its performance, as various existing systems demonstrate different unique characteristics making the quantitative comparisons quite complex and difficult to accomplish. This chapter elaborates on a context modelling and management approach that is suitable for addressing the PSS requirements and provides experimental evaluation evidence regarding its performance.

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Context gateway for physical spaces

Cited by 2 publications

References 19 publications

Service oriented computing for Ambient Intelligence to support management of transport infrastructures

Service oriented computing for Ambient Intelligence to support management of transport infrastructures

Putting Personal Smart Spaces into Context

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