38 research outputs found

    Convergence of residential gateway technology

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    A new OSI-based model is described that can be used for the classification of residential gateways. It is applied to analyze current gateway solutions and draw evolutionary paths for the medium to long term. From this it is concluded that particularly set-top boxes and broadband modems, as opposed to game consoles and PCs, have a strong potential to evolve toward gateways that deliver network services to the home on all OSI layers, although they probably will not converge. In our model, we have not found any compelling reasons for the residential gateway industry to support concurrent multiple broadband access network connections on a single residential gateway in the near future

    First experiences with Personal Networks as an enabling platform for service providers

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    By developing demonstrators and performing small-scale user trials, we found various opportunities and pitfalls for deploying personal networks (PNs) on a commercial basis. The demonstrators were created using as many as possible legacy devices and proven technologies. They deal with applications in the health sector, home services, tourism, and the transportation sector. This paper describes the various architectures and our experiences with the end users and the technology. We conclude that context awareness, service discovery, and content management are very important in PNs and that a personal network provider role is necessary to realize these functions under the assumptions we made. The PNPay Travel demonstrator suggests that PN service platforms provide an opportunity to develop true trans-sector services

    Study on Semantic Assets for Smart Appliances Interoperability : D-S4: FINAL REPORT

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    About two thirds of the energy consumed in buildings originates from household appliances. Nowadays, appliances are often intelligent and networked devices that form complete energy consuming, producing, and managing systems. Reducing energy consumption is therefore a matter of managing and optimizing the energy utilization on a system level. These systems need standardized interfaces on a sensor and device level. Many of the required standards already exist, but a common architecture does not, resulting in a market which is too fragmented and powerless. We have designed a reference ontology for these appliances, and this deliverable presents the results of the study. We have identified 47 different semantic assets that describe various properties of smart appliances in residential environments. We translated 23 of the 47 semantic assets into ontologies in the Web Ontology Language (OWL). In the 23 ontologies created we identified 20 recurring concepts that we used as initial building blocks for the Smart Appliances Reference (SAREF) ontology. We mapped the recurring concepts from the assets to the SAREF ontology to allow for translations between the 23 ontologies that we created. Next to that we showed how the SAREF ontology can be applied in relation to the ETSI M2M Architecture

    Study on Semantic Assets for Smart Appliances Interoperability : D-S1: FIRST INTERIM REPORT

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    About two thirds of the energy consumed by buildings originates from the residential sectors and thus household appliances. Household appliances or home appliances are electrical/mechanical machines which accomplish some household functions. Nowadays, appliances are not stand-alone systems anymore. They are often highly intelligent (โ€œsmartโ€) and networked devices, that form complete energy consuming, producing, and managing systems. Reducing the use of energy and production of greenhouse gasses is therefore not only a matter of increasing the efficiency of the individual devices, but managing and optimizing the energy utilization on a system level. The systems will therefore inevitably consist of devices and sensors from different vendors, and open interfaces enabling further extensions. The interfaces need to be properly standardized and offer external access on a semantic level both to any manageable and controllable function of the system as a whole, and to any device that is part of the system. However, the problem is not the lack of available standards. Actually, there already exist many standards, too many really, all dealing with a smaller or larger part of the problem, sometimes overlapping and competing. Various workshops and projects already explored this field and concluded that defining a useful and applicable reference data model should in principle be possible. One single, reference ontology could be created to cover the needs of all appliances relevant for energy efficiency, and it can be expanded to cover future intelligence requirements. The European Commission therefore issued a tender for a Study on โ€œAvailable Semantics Assets for the Interoperability of Smart Appliances. Mapping into a Common Ontology as a M2M Application Layer Semanticsโ€, defining 3 tasks: Task 1: Take stock of existing semantic assets and use case assets Task 2: Perform a translation exercise of each model (or use case) to a common ontology language and a mapping or matching exercise between all the models Task 3: Propose a reference ontology and document the ontology into the ETSI M2M architectur

    FIGARO ( Future Internet Gateway-based Architecture of Residential Networks ) D5.2: Architecture for service federation in residential networks

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    This document defines the preliminary version of the FIGARO architectural solution for federation within residential networks. The architecture is derived from use cases from the domains of e-health, energy management, domotics and social community services and thus supports requirements from each of these domains. This deliverable describes and validates the architecture and its main components

    Toward semantic interoperability of energy using and producing appliances in residential environments

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    About two thirds of the energy consumed in buildings originates household appliances. Nowadays, appliances are often intelligent and networked devices that form complete energy consuming, producing, and managing systems. Reducing energy is therefore a matter of managing and optimizing the energy utilization on a system level. These systems need standardized interfaces on a sensor and device level to enable further extensions. Many of the required standards already exist, but a common architecture does not, resulting in a market which is too fragmented and powerless. We are therefore designing a reference ontology for these appliances, and in this paper we present our initial results. We have identified 48 different semantic assets that describe various properties of smart appliances in residential environments. After translating 19 of these assets into Web Ontology Language (OWL), we identified 20 recurring concepts that will be the initial building blocks of the reference ontology

    Architecture of a Personal Network service layer

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    We describe a basic service architecture that extends the currently dominant device-oriented approach of Personal Networks (PNs). It specifies functionality for runtime selection and execution of appropriate service components available in the PN, resulting in a highly dynamic, personalized, and context-aware provisioning of PN services to the user. The architectural model clearly connects the responsibilities of the various business roles with the individual properties (resources) of the PN Entities involved

    A scalable addressing method when using IMS as a service bus infrastructure

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    The dynamic provisioning of SIP addresses is a challenge when many devices and services are dynamically attached to an IMS network. Manual provisioning is too labor intensive for a telecommunications operator, and it is difficult to do it in a way that allows those devices and services access to all functionality of the IMS architecture. This paper proposes a novel way of handling the addressing of such devices and services, using wildcard PSI addressing in the IMS network. ยฉ 2009 IEEE

    แƒ’แƒ˜แƒแƒ แƒ’แƒ˜ แƒšแƒ”แƒแƒœแƒ˜แƒซแƒ” แƒœ. แƒ‘แƒแƒ แƒแƒ—แƒแƒจแƒ•แƒ˜แƒšแƒ˜แƒก แƒ›แƒ—แƒแƒฌแƒ›แƒ˜แƒœแƒ“แƒแƒ–แƒ” แƒ’แƒแƒ“แƒแƒกแƒ•แƒ”แƒœแƒ”แƒ‘แƒ˜แƒก แƒชแƒ”แƒ แƒ”แƒ›แƒแƒœแƒ˜แƒแƒšแƒ–แƒ”

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    แƒ’แƒ˜แƒแƒ แƒ’แƒ˜ แƒšแƒ”แƒแƒœแƒ˜แƒซแƒ” - แƒ›แƒฌแƒ”แƒ แƒแƒšแƒ˜, แƒžแƒแƒ”แƒขแƒ˜, แƒšแƒ˜แƒขแƒ”แƒ แƒแƒขแƒฃแƒ แƒ˜แƒก แƒ˜แƒกแƒขแƒแƒ แƒ˜แƒ˜แƒก แƒ›แƒ™แƒ•แƒšแƒ”แƒ•แƒแƒ แƒ˜. แƒแƒšแƒ˜แƒ แƒ›แƒ˜แƒ แƒชแƒฎแƒฃแƒšแƒแƒ•แƒ-แƒฅแƒแƒ แƒ—แƒ•แƒ”แƒšแƒ˜ แƒžแƒแƒ”แƒขแƒ˜. แƒ˜แƒšแƒ แƒ›แƒแƒกแƒแƒจแƒ•แƒ˜แƒšแƒ˜ - แƒฅแƒแƒ แƒ—แƒ•แƒ”แƒšแƒ˜ แƒ›แƒฌแƒ”แƒ แƒแƒšแƒ˜. แƒžแƒแƒ•แƒšแƒ” แƒ˜แƒ”แƒกแƒ”แƒก แƒซแƒ” แƒ˜แƒœแƒ’แƒแƒ แƒแƒงแƒ•แƒ โ€“ แƒฅแƒแƒ แƒ—แƒ•แƒ”แƒšแƒ˜ แƒšแƒ˜แƒขแƒ”แƒ แƒแƒขแƒฃแƒ แƒแƒ—แƒ›แƒชแƒแƒ“แƒœแƒ”, แƒ˜แƒกแƒขแƒแƒ แƒ˜แƒ™แƒแƒกแƒ˜, แƒกแƒแƒ–แƒแƒ’แƒแƒ“แƒ แƒ›แƒแƒฆแƒ•แƒแƒฌแƒ”. แƒ แƒแƒŸแƒ“แƒ”แƒœ แƒ’แƒ•แƒ”แƒขแƒแƒซแƒ” - แƒ›แƒฌแƒ”แƒ แƒแƒšแƒ˜, แƒžแƒแƒ”แƒขแƒ˜. แƒกแƒ”แƒ แƒ’แƒ แƒ“แƒแƒ•แƒ˜แƒ—แƒ˜แƒก แƒซแƒ” แƒ™แƒšแƒ“แƒ˜แƒแƒจแƒ•แƒ˜แƒšแƒ˜ - แƒฅแƒแƒ แƒ—แƒ•แƒ”แƒšแƒ˜ แƒžแƒแƒ”แƒขแƒ˜, แƒ›แƒฌแƒ”แƒ แƒแƒšแƒ˜, แƒœแƒแƒ•แƒ”แƒšแƒ˜แƒกแƒขแƒ˜, แƒฅแƒแƒ แƒ—แƒ•แƒ”แƒšแƒ˜ แƒกแƒ˜แƒ›แƒ‘แƒแƒšแƒ˜แƒกแƒขแƒ”แƒ‘แƒ˜แƒก แƒšแƒ˜แƒขแƒ”แƒ แƒแƒขแƒฃแƒ แƒฃแƒšแƒ˜ แƒฏแƒ’แƒฃแƒคแƒ˜แƒก "แƒชแƒ˜แƒกแƒคแƒ”แƒ แƒงแƒแƒœแƒฌแƒ”แƒšแƒ—แƒ" แƒฌแƒ”แƒ•แƒ แƒ˜. แƒจแƒแƒšแƒ•แƒ แƒ“แƒแƒ“แƒ˜แƒแƒœแƒ˜ - แƒกแƒแƒ–แƒแƒ’แƒแƒ“แƒ แƒ›แƒแƒฆแƒ•แƒแƒฌแƒ”, แƒ›แƒฌแƒ”แƒ แƒแƒšแƒ˜, แƒ“แƒ แƒแƒ›แƒแƒขแƒฃแƒ แƒ’แƒ˜, แƒ›แƒกแƒแƒฎแƒ˜แƒแƒ‘แƒ˜. แƒ”แƒคแƒ”แƒ›แƒ˜แƒ แƒ’แƒ”แƒ“แƒ”แƒ•แƒแƒœแƒ˜แƒจแƒ•แƒ˜แƒšแƒ˜ - แƒ’แƒ˜แƒแƒ แƒ’แƒ˜ แƒšแƒ”แƒแƒœแƒ˜แƒซแƒ˜แƒก แƒ›แƒ”แƒฃแƒฆแƒšแƒ”
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