Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-30-2015 | Award Amount: 7.50M | Year: 2016
The lack of interoperability is considered as the most important barrier to achieve the global integration of IoT ecosystems across borders of different disciplines, vendors and standards. Indeed, the current IoT landscape consists of a large set of isolated islands that do not constitute a real internet, preventing the exploitation of the huge potential expected by ICT visionaries. To overcome this situation, VICINITY presents a virtual neighborhood concept, which is a decentralized, bottom-up and cross-domain approach that resembles a social network, where users can configure their set ups, integrate standards according to the services they want to use and fully control their desired level of privacy. VICINITY then automatically creates technical interoperability up to the semantic level. This allows users without technical background to get connected to the vicinity ecosystem in an easy and open way, fulfilling the consumers needs. Furthermore, the combination of services from different domains together with privacy-respectful user-defined share of information, enables synergies among services from those domains and opens the door to a new market of domain-crossing services. VICINITYs approach will be demonstrated by a large-scale demonstration connecting 8 facilities in 7 different countries. The demonstration covers various domains including energy, building automation, health and transport. VICINITYs potential to create new, domain-crossing services will be demonstrated by value added services such as micro-trading of DSM capabilities, AI-driven optimization of smart urban districts and business intelligence over IoT. Open calls are envisioned in the project to integrate further, preferably public, IoT infrastructures and to deploy additional added value services. This will not only extend the scale of VICINITY demonstration, but also efficiently raise the awareness of industrial communities of VICINITY and its capabilities.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-30-2015 | Award Amount: 7.10M | Year: 2016
Connected smart objects have invaded our everyday life across multiple domains, e.g. home withautomation solutions, assisted living with sensors and wearables to monitor personal activities, smart transportation and environmental monitoring. IoT is evolving around a plethora of vertically isolated platforms, each specifically suited to given scenarios and often adopting non-standard, sometimes fully proprietary, protocols to control the variety of sensors, actuators and communication elements. symbIoTe comes to evolve this fragmented environment and provides an abstraction layer for a unified control view on various IoT platforms and sensing/actuating resources. symbIoTe designs and develops an IoT orchestration middleware capable of unified and secure access to physical and virtualized IoT resources; hierarchical and orchestrated discovery and control across multiple IoT platforms; federation of IoT controllers and resources for cooperative sensing/actuation tasks; seamless roaming of smart objects across smart spaces. symbIoTe builds its orchestration middleware on top of existing standards for protocols and interfaces, plus a number IoT platforms both proprietary (i.e. developed by its industrial partners) and from open source (e.g. OpenIoT). This unique set of backgrounds and foreground can result in a significant step forward in horizontal integration and federation of IoT domains. Five use cases with real large scale deployments have been selected to validate our vision in representative smart spaces: home/residence, educational campus, stadium, mobility and yachting. Engagement with real users is key in our validation process. With its research, symbIoTe can enable innovative business models for a large set of stakeholders of the IoT value chain, and particularly SMEs and new entrants in the IoT market. The consortium includes direct beneficiaries of these impacts, including small and large industry with IoT business and renowned research performers.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: ICT-20-2015 | Award Amount: 7.62M | Year: 2016
The MaTHiSiS learning vision is to provide a product-system for vocational training and mainstream education for both individuals with an intellectual disablity and non-diagnosed ones. This product-system consists of an integrated platform, along with a set of re-usable learning components (educational material, digital educational artefacts etc.), which will respond to the needs of a future educational framework, as drawn by the call, and provide capabilities for: i) adaptive learning, ii) automatic feedback, iii) automatic assessment of learners progress and behavioural state, iv) affective learning and v) game-based learning. To achieve these educational innovative goals, the MaTHiSiS project will introduce a novel methodology in the education process. The so-called learning graphs which, acting as a novel educational structural tool and associated with specific learning goals, will foster novel ways to guide how the different learning material and artefacts can be deployed throughout a prespecified learning scenario. The building materials of these graphs are drawn from a set of Smart Learning Atoms (SLAs) which will constitute the vertices of the graphs. SLAs are learning elements that carry stand-alone pieces of learning materials, targeting certain problems. More than one SLAs, working together on the same graph, will be able to help individuals reach their learning/training goals. The learning goals as well as the SLAs involved will be decided and pre-agreed based on common practices, goals derived from formal and non-formal education (general education, vocational training, lifelong training or specific skills learning) as well as learners own goals (so as to equally serve in-formal education contexts).
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-04-2015 | Award Amount: 3.20M | Year: 2016
Computer systems have faced significant power challenges over the past 20 years; these challenges have shifted from the devices and circuits level, to their current position as first-order constraints for system architects and software developers. TANGOs goal is to characterise factors which affect power consumption in software development and operation for heterogeneous parallel hardware environments. Our main contribution is the combination of requirements engineering and design modelling for self-adaptive software systems, with power consumption awareness in relation to these environments. The energy efficiency and application quality factors are integrated in the application lifecycle (design, implementation, operation). To support this, the key novelty of the project is a reference architecture and its implementation. Moreover, a programming model with built-in support for various hardware architectures including heterogeneous clusters, heterogeneous chips and programmable logic devices will be provided. TANGO will create a new cross-layer programming approach for heterogeneous parallel hardware architectures featuring automatic code generation including software and hardware modelling. This will consider power, performance, data location and time criticality optimization, in addition to security and dependability on the target hardware architecture. These results will be demonstrated in two real-world applications: reconfigurable power optimized connected platform and HPC. In order to improve collaboration and sustainability of TANGOs and fellow projects results, TANGO considers the foundation of a Research Alliance in which complementary research efforts into novel programming approaches will nucleate, leading to a strong research collaboration and effective integration of project results.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: EO-2-2015 | Award Amount: 2.67M | Year: 2016
EO4wildlife main objective is to bring large number of multidisciplinary scientists such as biologists, ecologists and ornithologists around the world to collaborate closely together while using European Sentinel Copernicus Earth Observation more heavily and efficiently. In order to reach such important objective, an open service platform and interoperable toolbox will be designed and developed. It will offer high level services that can be accessed by scientists to perform their respective research. The platform front end will be easy-to-use, access and offer dedicated services that will enable them process their geospatial environmental stimulations using Sentinel Earth Observation data that are intelligently combined with other observation sources. Specifically, the EO4wildlife platform will enable the integration of Sentinel data, ARGOS archive databases and real time thematic databank portals, including Wildlifetracking.org, Seabirdtracking.org, and other Earth Observation and MetOcean databases; locally or remotely, and simultaneously. EO4wildlife research specialises in the intelligent management big data, processing, advanced analytics and a Knowledge Base for wildlife migratory behaviour and trends forecast. The research will lead to the development of web-enabled open services using OGC standards for sensor observation and measurements and data processing of heterogeneous geospatial observation data and uncertainties. EO4wildlife will design, implement and validate various scenarios based on real operational use case requirements in the field of wildlife migrations, habitats and behaviour. These include: (1) Management tools for regulatory authorities to achieve real-time advanced decision-making on the protection of protect seabird species; (2) Enhancing scientific knowledge of pelagic fish migrations routes, reproduction and feeding behaviours for better species management; and (3) Setting up tools to assist marine protected areas and management.