118,042 research outputs found

    Applying Service Engineering Principles to TMN Systems

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    Recent work in distributed and telecommunication systems has become increasingly oriented towards applications in a global open market in telecommunications services, as the effects of liberalisation take hold. The areas of network and service management will be essential to competitiveness in this market, however the technologies and system development techniques widely used today (i.e. SNMP and CMIP) were conceived to address the needs of large corporate data networks and monolithic public telecommunication networks. How these technologies and techniques can be applied to management in an open market environment is not currently well defined. This paper describes some of the work of the RACE II PROJECT PREPARE in its application of ITU-T TMN recommendations to management solutions in an open services environment. In particular it describes the engineering approach taken to developing TMN systems in an attempt to tailor them to such an environment

    Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web

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    Current “Internet of Things” concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people. In particular, objects embedding Human Machine Interaction (HMI), such as mobile devices and, increasingly, connected vehicles, home appliances, urban interactive infrastructures, etc., may not only be conceived as sources of sensor information, but, through interaction with their users, they can also produce highly valuable context-aware human-generated observations. We believe that the great promise offered by combining and sharing all of the different sources of information available can be realized through the integration of HMI and Semantic Sensor Web technologies. This paper presents a technological framework that harmonizes two of the most influential HMI and Sensor Web initiatives: the W3C’s Multimodal Architecture and Interfaces (MMI) and the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) with its semantic extension, respectively. Although the proposed framework is general enough to be applied in a variety of connected objects integrating HMI, a particular development is presented for a connected car scenario where drivers’ observations about the traffic or their environment are shared across the Semantic Sensor Web. For implementation and evaluation purposes an on-board OSGi (Open Services Gateway Initiative) architecture was built, integrating several available HMI, Sensor Web and Semantic Web technologies. A technical performance test and a conceptual validation of the scenario with potential users are reported, with results suggesting the approach is soun

    OpenMI - The universal glue for integrated modelling?

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    Integrating personal learning and working environments

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    This review paper part of a series of papers commissioned by the Institute for Employment Research at the University of Warwick under the title of 'Beyond Current Horizons – Working and Employment Challenge'. In turn, in forms part of a larger programme of work under the banner of Beyond Current Horizons that is being managed by FutureLab on behalf of the UK Department for Schools, Children and Families. The brief was to cover: - The main trends and issues in the area concerned; - Any possible discontinuities looking forward to 2025 and beyond; - Uncertainties and any big tensions; - Conclusions on what the key issues will be in the future and initial reflections on any general implications for education. Given the wide ranging nature of the brief, this paper largely confines itself to trends and issues in the UK, although where appropriate examples from other countries in Europe are introduced. We realise that in an age of growing globalisation the future of work and learning in the UK cannot be separated from developments elsewhere and that developments in other parts of the world may present a different momentum and trajectory from that in the UK. Thus, when reading this report, please bear in mind the limitations in our approach
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