Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
New forms of sustainable urban transport and mobility (2MOVE2)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: Germany,Israel,Czechia,Spain
Call:  (FP7-SST-CIVITAS-2011-MOVE, 2011)
Start date: 2012-12-01
End date: 2017-01-31
Duration (months): 50.0
Total project cost (EUR): 8383111.73
EU funding (EUR): 5687641.26
Participants: 8
Project status: CLOSED

Mobility for each citizen as well as the transport of goods must be ensured in combination with a free choice of transport modes. However, actions of mobility management should be strengthened to raise people’s awareness towards sustainable mobility. Due to changing conditions (e. g demographic development, rising energy costs, new ecological standards) new quality standards for an attractive pedestrian, bicycle, and public transport infrastructure are on the urban agenda in many cities. The four cities Stuttgart, Brno, Malaga and Tel Aviv-Yafo decided to create more sustainable, clean and energy-efficient urban transport systems in their cities to establish new forms of mobility in a common approach for the benefit of all citizens, society and climate policy, respecting the environment and natural resources. The development and implementation of similar projects and initiatives in the four cities will allow evaluating and comparing the results and impacts in the different contexts in the leading and learning cities. In addition, the measures in the four cities have been selected in a way that allows transfer and applicability to small- and medium-sized towns. Specific emphasis has been given to the measures of e-mobility, freight and ITS-based traffic management. Also the continuous reflection of the proposed projects with the SUMPs as well as with urban development plans is stressed.

Keywords: urban mobility,its-based traffic management,e-mobility,cycling,walking,transport development plans,priority networks,parking management
Demonstration of the WindFloat Technology (DEMOWFLOAT)

Framework: FP7 — Cooperation
Programme: Energy
Destination: Renewable electricity generation
Action type: Collaborative project
Countries involved: Portugal,Denmark,Netherlands,Spain,United Kingdom,United Kingdom,United Kingdom,United States
Call:  (FP7-ENERGY-2011-2, 2011)
Start date: 2011-07-15
End date: 2015-07-14
Duration (months): 48.0
Total project cost (EUR): 5963470.72
EU funding (EUR): 3563870.5
Participants: 13
Project status: CLOSED

Joint venture partners realize that design, fabrication and installation of a PILOT unit is only the first step towards a full demonstration of a floating offshore wind system, even though in economic terms this first step represents the highest cost. EDPI, as the biggest shareholder in the project and the coordinator of the DEMOWFLOAT Collaborative Project, is proposing to use the installed PILOT unit to demonstrate its long-term (36 months) performance as a part of the floating offshore wind commercialization, thus enabling the future deployment of this concept to the wider installation of floating deep offshore wind power plants. The PILOT project, funded by the WindPlus partners and the Portuguese Member State, includes installing the WindFloat system in the summer of 2011. Within the current activities the set of tests associated with the operational phase of the PILOT project were limited to a minimum due to financial constraints. The installation of the PILOT WindFloat system is only the first step in the process of demonstrating the commercial viability of this new technology. The next step, and the subject of the present DEMOWFLOAT Collaborative Project (“Project”) is to demonstrate long-term system performance, operationability, maintainability, reliability, platform accessibility, feasible grid integration on a modular basis, among several other aspects with an impact on availability of the system and, therefore, on the cost of produced energy. In addition, it is imperative that the system passes the scrutiny of the financial sector, as without project financing it is impossible to install multi-megawatt floating offshore wind farms and fulfill the SET Plan and the EII objectives. The DemowFloat project carries immense significance to the offshore wind industry in Europe, because it opens deep-water offshore locations presently inaccessible with the conventional fixed foundations.
AIRCRAFT ELECTRICAL GENERATION SYSTEM WITH ACTIVE RECTIFICATION AND HEALTH MONITORING (AEGART)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Clean Sky
Action type: Article 171 of the Treaty
Partnership: CLEAN-SKY (Art-185)
Countries involved: United Kingdom
Call:  (SP1-JTI-CS-2011-01, 2011)
Start date: 2011-10-01
End date: 2015-12-31
Duration (months): 51.0
Total project cost (EUR): 1618330.8
EU funding (EUR): 809165.0
Participants: 1
Project status: CLOSED

The project aims for an innovative solution for an aircraft electrical starter-generation system. The driver behind the project is the move towards green more-efficient aircraft technology by employing electric power to eventually replace conventional hydraulic and pneumatic power. Increased weight of green aircraft systems based on existing electrical aircraft components may offset savings due to higher efficiency. The electrical generation system incurs the largest weight increase when moving towards more-electric aircraft and this is a major challenge. Within the project this challenge will be addressed by the development a novel generation system comprising the electrical machine, the power electronic converter, the associated cooling system, and the control with health monitoring functions that enable the system to function safely and reliably as a starter/generator system for a small aircraft. An integrated design and modelling approach will provide an overall optimised solution that will reduce component count and maintenance cost, improve system reliability and save weight, thus improving the environmental impact of aircraft operations

Keywords: aircraft,electric power system,starter/generator,power electronics,active rectifier,active filter,high temperature device,health monitoring,fault tolerance,high power density,modelling,test
ViSTA-TV - Video Stream Analytics for Viewers in the TV Industry (VISTA-TV)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Switzerland,Germany,Netherlands,United Kingdom
Call:  (FP7-ICT-2011-SME-DCL, 2011)
Start date: 2012-06-01
End date: 2014-05-31
Duration (months): 24.0
Total project cost (EUR): 2605896.0
EU funding (EUR): 1995000.0
Participants: 7
Project status: CLOSED

Live video content is increasingly consumed over IP networks in addition to traditional broadcasting. The move to IP provides a huge opportunity to discover what people are watching in much greater breadth and depth than currently possible through interviews or set-top box based data gathering by rating organizations, because it allows direct analysis of consumer behavior via the logs they produce. The ViSTA-TV project proposes to gather consumers’ anonymized viewing behavior and the actual video streams from broadcasters/IPTV-transmitters to combine them with enhanced electronic program guide information as the input for a holistic live-stream data mining analysis: the basis for an SME-driven market-place for TV viewing-behavior information. First, ViSTA-TV will employ the gathered information via a stream-analytics process to generate a high-quality linked open dataset (LOD) describing live TV programming. Second, combining the LOD with the behavioral information gathered, ViSTA-TV will be in the position to provide highly accurate market research information about viewing behavior that can be used for a variety of analyses of high interest to all participants in the TV-industry. This generates a novel, SME-driven market place for TV viewing-behavior data and analyses. Third, to gather anonymized behavioral information about viewers not using our IPTV-streams ViSTA-TV will employ the gathered information to build a recommendation service that exploits both usage information and personalized feature extraction in conjunction with existing meta-information to provide real-time viewing recommendations. Commercially, the revenues gathered in the market research activity will cross-subsidize the production of the open-sourced LOD stream. These results are made possible by scientific progress in data-stream mining consisting of advances in (1) data mining for tagging, recommendations, and behavioral analyses and (2) temporal/probabilistic RDF-triple stream processing.

Keywords: behavioral data market,tv market research,linked open data,real-time video stream processing,recommendation data/systems,data mining,rdf triple-streams
Green Electronics – Sustainable Product Manufacturing (GREENELEC)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Electronic Numerical Integrator and Computer
Action type: Collaborative project
Partnership: ENIAC (Art-185)
Countries involved: Netherlands,Netherlands,Netherlands,Belgium,Belgium,Belgium,Sweden,Austria,Netherlands,Belgium
Call:  (ENIAC-2011-1, 2011)
Start date: 2012-01-01
End date: 2014-12-01
Duration (months): 35.0
Total project cost (EUR): 10353384.0
EU funding (EUR): 1729014.0
Participants: 15
Project status: CLOSED

The main goal of GreenElec is to achieve more efficient use of resources by designing and manufacturing electronics that enable more effective recycling. A large fraction of critical materials is used in electronics. Recovery is at present limited: most of the materials are downgraded or completely lost. Effective recovery of materials implies that end-of-life separation and treatment must already be taken into account at the design stage of electronics. To deal with the associated challenges close cooperation of and alignment between players at different stages of the life cycle and over the entire value chain is a necessity. Key technology drivers are materials choices, PCBA design, identification tools, and sorting into well-defined waste streams. Identification of electronics will increase collection and sorting efficiency, thus increasing material recovery and end-of-life value of electronics. The impact is strengthened by exploring new business models that better share the incentives over the value chain are explored and by contributions to standards and regulations. Carriers are LED lamps, consumer televisions and professional display systems. Innovations in the design and electronic component selection are closely linked to identification and separation technology. The project will result in an efficient and sustainable use of electronic materials by delivering: - suitable combinations of materials for recycling - design rules for electronics taking into account recycling processes - identification of devices and components - equipment for separation of devices and components into well-defined waste streams - optimum waste stream separation for maximal recovery - business models and regulatory policy support that give an incentive to the recycling/reuse of electronics. The results will have a direct impact on the availability of scarce and critical raw materials to Europe and enforce Europe’s leading position on materials recycling.

Keywords: green electronics,end-of-life,resource efficiency,design for recycling,identification of devices and components,collection,separation,sorting,shredding,dismantling,materials recovery
Commercially empowered Linked Open Data Ecosystems in Research (CODE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Austria,Germany,United Kingdom,Germany
Call:  (FP7-ICT-2011-SME-DCL, 2011)
Start date: 2012-05-01
End date: 2014-04-30
Duration (months): 24.0
Total project cost (EUR): 2536120.0
EU funding (EUR): 1996965.0
Participants: 4
Project status: CLOSED

Linked Open Data (LOD) shows enormous potential in becoming the next big evolutionary step of the WWW. However, this potential remains largely untapped due to missing usage and monetisation strategies. CODE’s vision is to establish the foundation for a web-based, commercially oriented ecosystem for Linked Open Data. This ecosystem establishes a sustainable and commercial value-creation-chain among traditional (e.g. data provider and consumer) and non-traditional (e.g. data analyst) roles in data marketplaces. Monetary incentives will motivate people to analyse, organise and integrate LOD with unstructured information sources thereby increasing data quality and quantity. Our use-case focuses on research papers as a source for mining facts and their integration into LOD repositories and light-weight ontologies. Hence, we will leverage the wealth of knowledge contained in research publications on a semantic, machine-readable level by creating the Linked Science Data cloud. This cloud will have an impact on innovation driven businesses by making scientific knowledge more accessible and transparent. Therefore, we will research and develop: 1.crowd-sourcing enabled semantic enrichment & integration techniques for integrating facts contained in unstructured information into the LOD cloud 2.federated, provenance-enabled querying methods for fact discovery in LOD repositories 3.web-based visual analysis interfaces to support human based analysis, integration and organisation of facts 4.socio-economic factors - roles, revenue-models and value chains - realisable in the envisioned ecosystem. The consortium brings together high-potential partners, providing the necessary resources for realizing our vision: tera-bytes of research publications, millions of light-weight ontologies, a steadily growing user community in the millions and expertise in unstructured information analysis, distributed databases, semantic technologies, visual analytics and economic success factors in web businesses.

Keywords: ecosystems,linked data,semantic enrichment integration,visual analytics,academic data,socio-economic effects,linked science data cloud
Fusing and pooling information for product/service development and research (Fusepool) (FUSEPOOL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Switzerland,Belgium,France,Hungary,Netherlands,Belgium
Call:  (FP7-ICT-2011-SME-DCL, 2011)
Start date: 2012-07-01
End date: 2014-06-30
Duration (months): 24.0
Total project cost (EUR): 2463784.0
EU funding (EUR): 1930980.0
Participants: 8
Project status: CLOSED

Fusepool develops an user-adaptive «Living Knowledge Pool» for product development and research. Compared to existing search and knowledge management solutions, Fusepool provides two core benefits: the automated transformation of content from web-harvesting and participating organizations into structured Linked Open Data format and the automated group-specific optimization of knowledge finding and matching based on transfer learning from individual users. Instead of optimizing results only individually per user, Fusepool fuses anonymised user interactions to derive optimizations for specific user groups of users. Information mining and interlinking combine text mining, feature- and entity extraction with semantic web technologies. Content classification and entity identification enable automated enrichment and interlinking of information extracted from internal as well as web-harvested ‘raw’ content. In addition, Linked Open Data (LOD) from hundreds of data repositories such as Eurostat or DBPedia (Wikipedia) are accessed to pool knowledge related to the information need of the user. Moreover, ‘raw’ content that is transformed into machine-understandable content can be published as LOD for others to reuse it. Knowledge finding and matching refers to the semantics-aware search integrating content based on available metadata (e.g. classifications, entities) into a stream-lined application for finding and matching content to support the user’s information needs. Advanced search features include refinement and filtering, query intent discovery, and proactive information gathering. In addition, recommendations provide the user with potentially relevant information and user dis/approval optimizes future recommendations. Visual analytics and graphical user interfaces present intuitively the complex information and analytical results. Users can develop and share layouts and even layouts are able to adapt to user needs based on past user interactions.

Keywords: data analytics,text analytics,crowdsourcing,linked open data,patent research,patent analysis,knowledge management,product development
PREPARATION AND LAUNCH OF A LARGE-SCALE ACTION FOR QUALITY TRANSLATION TECHNOLOGY (QTLAUNCHPAD)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Coordination and support actions
Countries involved: Germany,Ireland,Greece,United Kingdom
Call:  (FP7-ICT-2011-SME-DCL, 2011)
Start date: 2012-07-01
End date: 2014-06-30
Duration (months): 24.0
Total project cost (EUR): 2392633.0
EU funding (EUR): 1914000.0
Participants: 4
Project status: CLOSED

The support action will prepare the grounds for a new type of collaborative MT research dedicated to overcoming existing quality barriers. QTLaunchPad will assemble and provide needed data and tools in-cluding specialised translation corpora, test suites and tools for quality assessment, create a shared quality metrics for human and machine translation, improve automatic translation quality estimation, extend an existing platform for resource-sharing to the needs of quality MT research, define strategies and challenges and then plan and launch a large-scale research and innovation action for a breakthrough in quality translation technology. European research has the potential to overtake Google in the pursuit of automatic quality translation! A successful venture directed at breaking the quality barriers in MT and putting European MT research ahead of its competitors requires a strong combination of expertise, scope and ambition together with the courage to diverge from mainstream research in goals and style. The envisaged progress will be based on highly specialized quality services, an analytical systematic fight against quality obstacles, improved utili-zation of shared data and tools, the integration of translation providers in research, deployment, testing and business models, and a concerted competitive model of technology evolution. In contrast to the large generic gist translation online services, the final target will be a service model based on competition and combination of specialised services, accounting for and capitalising on the SME-dominated European LT and LSP industries. For the planning process, QTLaunchPad will assemble the best European centres of MT research, the most sophisticated and enthusiastic large-scale users of translation technology including enlightened potential users, technophile and quality-conscious translation service providers, providers of language tools and resources and experienced technology integrators.

Keywords: machine translation,quality translation,business model
Modelica Model Library Development for Media, Magnetic Systems and Wavelets (MOMOLIB)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Clean Sky
Action type: Article 171 of the Treaty
Partnership: CLEAN-SKY (Art-185)
Countries involved: Germany,Germany,Germany
Call:  (SP1-JTI-CS-2011-01, 2011)
Start date: 2011-11-01
End date: 2013-10-31
Duration (months): 24.0
Total project cost (EUR): 291892.0
EU funding (EUR): 218919.0
Participants: 3
Project status: CLOSED

The modelling language Modelica and libraries based upon it are excellently suited for model-based design of future aircraft systems, e.g. more electric aircraft or sustainable air-conditioning systems. To enable those design tasks, Modelica Libraries for media models, electromagnetic devices such as transformers and electrical machines and for wavelet analysis shall be developed or extended by a consortium of three partners. XRG Simulation will provide two fluid property models according to the Modelica.Media specification, one model for R134a and one model for humid air. Both models shall be used for complex air conditioning system simulation e.g. of aircraft. Technische Universität Dresden, where the Modelica.Magnetic.FluxTubes library was originally developed, will extend this library with hysteresis models. Simulation of static (ferromagnetic) and dynamic (eddy current) hysteresis allows for estimation of iron losses in transformers and electrical machines and hence, e.g., for subsequent simulation of heating. In addition, Modelica models of one- and three-phase transformers will be developed. Compared to the simple transformer models already included in the Modelica Standard library, the models to be developed include a transformer’s magnetic subsystem and hence consider saturation and core losses. The developed hysteresis and transformer models will be validated with in-house measurements. Furthermore, the Modelica.Magnetic library will be extended by electrical machine models based on look-up tables. These models allow for dynamic simulation of machines with saturation and non-linear torque-current-angle characteristics. Technische Universität München will develop a Modelica Wavelet library for capture, identification and analysis of processes. This library will allow new signal processing methods for analysis, reconstruction and modelling of signals. That will improve the power quality assessment in physical systems, e.g. in electrical systems of aircraft.

Keywords: model-based design,modelica,modelica.media,r134a,humid air,modelica.magnetic,magnetic hysteresis,eddy current,iron losses,core losses,electrical machines,wavelet,modelica wavelet library