Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Interoperable GCDC AutoMation Experience (I-GAME)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Collaborative project
Countries involved: Netherlands,Netherlands,Sweden,Spain
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 3764220.0
EU funding (EUR): 2599870.0
Participants: 4
Project status: CLOSED

The objective of i-GAME is to develop technologies that speed-up the real-life implementation of automated driving, which is supported by communication between the vehicles and between vehicles and road-side equipment. These automated systems must be safe and able to cope (to a certain extend) with different circumstances. And the technology must not be too specific to be able to be used in a wide range of vehicles and traffic scenarios. For i-GAME the solution is found in so-called supervisory control, that provides both event-driven control to initiate vehicle manoeuvres (e.g. a car wants to merge on a highway) and real-time control to execute the manoeuvres (i.e. vehicles make a space for the merging vehicle and the merging vehicle steers into the empty space). These kind of scenario’s require that the participating vehicles and road-side equipment are able to communicate and cooperate with each other, which is called interoperability. The interoperability in i-GAME is ensured on the one hand by a reference group of OEM’s and suppliers, and, on the other hand, through the participating (university) teams in a second edition of the Grand Cooperative Driving Challenge. For the design and setup or the automated systems i-GAME uses a parallel approach. Firstly, a functional architecture will be developed. The components of the system (like the communication and the overall supervisory control system) will be developed on simulation level first and then tested in practice using benchmark vehicles. Secondly, to focus on interoperability and thus speed up real-life implementation, a series of verification and validation workshops is held, having its climax in the final challenge on cooperative automated driving, together with leading RTDs, and supported by OEMs and suppliers. Typical examples of multi-vehicle platoon manoeuvres that will be part of the challenge are platoon forming, priority and speed adaptation (including stop) at a traffic light, and automatic or supported vehicle merging based on fusion of in-vehicle and on-roadside information. This open approach creates a multi-vendor playground and should catalyse the scale-up and commercial roll out of vehicles equipped with the automated solutions. Finally, the results will be presented to stakeholders such as standardization bodies, road authorities, OEMs and suppliers to create a new reference for practical implementation of automated driving solutions.

Keywords: cooperative driving systems automated vehicles interaction protocol wireless communications platooning interoperability cooperative driving challenge traffic efficiency evaluation competition
Real neurons-nanoelectronics Architecture with Memristive Plasticity (RAMP)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Italy,Switzerland,United Kingdom,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2017-04-30
Duration (months): 42.0
Total project cost (EUR): 2742749.0
EU funding (EUR): 2068000.0
Participants: 6
Project status: CLOSED

Information processing in classical ‘von Neumann’ architectures is less efficient compared to biological counterparts when dealing with ill-posed problems and noisy data. The reason is that the biological brain is configured differently and the key is its evolving structure, where connectivity elements between individual neurons, the synapses, undergo ‘birth’ and ‘death’ as well as strengthening and weakening through a selection process, reconfiguring neuronal connectivity in a self-organizing manner and allowing the networked population of neuronal processors to adapt motor and behavioural responses to the ever changing environment. Artificial neural networks in the form of software run on conventional ‘von Neumann’ computers appear incomparable to the biological systems in terms of speed, energy efficiency, adaptability and robustness. The challenge is to propose a ‘physical’ neural network where elements overcome this deficiency by merging data storage and processing into single electronic devices and by self-organizing and reconfiguring connectivity. Along this route, we aim to create a new biohybrid architecture of natural and artificial neurons endowed with plasticity properties. Communication between artificial and natural worlds will be established through new nano- and microtransducers allowing direct electrical interfacing of a network of neurons in culture to an artificial CMOS-based counterpart. Adaptation properties of the artificial network will rely on memristive nanoelectronic devices with synaptic-like plasticity and on activity-dependent rearrangement of neuronal connectivity. As such, the biohybrid system will provide new and unique adaptive, self-organizing and evolving properties deriving from the fusion of natural and artificial neuronal elements into a new plastic entity and will represent a fundamental step towards the development of novel brain-inspired computing architectures as well as ‘intelligent’ autonomous systems and prostheses

Keywords: neurocomputing,memristor,neurochip,neuromorphic,neurohybrid,network,topology,artificial synapse,evolving network
Engineering multicellular biocircuits: programming cell-cell communication using plasmids as wires (PLASWIRES)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Spain,Spain,United Kingdom,France
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 2617039.0
EU funding (EUR): 2014998.0
Participants: 4
Project status: CLOSED

Conjugation is a natural communication mechanism used by plasmids (autonomous self- replicating DNA molecules) to travel from bacteria to bacteria as a survival strategy. The genes and proteins that control conjugation are well known by biologists. This conjugation hardware is highly specific and robust and has been refined over millions of years of natural selection. It allows the independent transmission of different conjugative plasmids without interference even when the plasmids share the same sender or receiver bacteria. We will harness this sophisticated and exquisite biological hardware to engineer a new multicellular communication technology where plasmids will be used as intercellular wires. Among others, during PLASWIRES project we will engineer large multicellular circuits such as a multi-layered AND gate circuit with 5 inputs, or an AND-OR and OR-AND Boolean logic circuit with up to 6 inputs. To simplify the design and implementation of conjugation based circuits we will engineer a multicellular programmable logic array (PLA). To show the power of this cell-cell communication technology, we will solve an NP-complete problem in-vivo: the SAT problem. To solve this problem is interesting not only theoretically, but also in practice: our plasmids solving SAT can potentially be used as programmable antibiotics or sentinel plasmids able to detect danger sets of plasmids in virulent bacteria. PLASWIRES will also develop software (CellModeller and BactoSIM will be the simulators used) to help biologists in the design of all these multicellular circuits. PLASWIRES’ ultimate goal is to establish conjugation as a new tool in synthetic biology, which has not previously been exploited, to engineer multicellular circuits with potential applications in biomedicine and biotechnology. From a computational standpoint, PLASWIRES aims to demonstrate that conjugative plasmids are programmable wires enabling distributed bacterial computations. In other words: PLASWIRES’ main goal is to show how to program a parallel distributed living computer using conjugative plasmids as wires between cellular processors.

Keywords: synthetic biology,biomolecular computing,genetic circuits,conjugation,conjugative plasmids,multicellular computation
New Materials for High Moment Poles and Shields (NU-MATHIMO)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Germany,Sweden
Call:  (FP7-PEOPLE-2013-IAPP, 2013)
Start date: 2013-10-01
End date: 2017-09-30
Duration (months): 48.0
Total project cost (EUR): 1005934.88
EU funding (EUR): 1005934.88
Participants: 3
Project status: CLOSED

The ever-expanding demand of the world market leads to magnetic recording data storage devices advancing toward much smaller dimensions and higher storage capacities. In order to achieve capacities beyond 2TB/in2 next generation magnetic recording head transducers will require improved high moment magnetic material together with novel write pole and shield structures to preserve the necessary magnetic flux on reduced device dimensions. The implementation of novel high moment magnetic materials and design in manufactured products requires the attainment of new knowledge by the magnetics industry along with the response of the academic industry to the new performance challenges. These goals can only be reached through a strong collaborative programme between industry and academia. The scientific programme is to study the properties of magnetic materials to enable higher moment than the presently attainable limits. Nanoscale engineering of magnetic thin films will be the main approach to achieve this. The knowledge will be transferred through the cross-border secondment of staff and researchers between Seagate, Duisburg-Essen and Uppsala, utilizing the complementary expertise of the three nodes regarding state-of-the-art experimental and computational techniques as well as device fabrication.

Keywords: magnetic recording data storage devices,novel high moment materials,eptaxial film growth,element specific investigations,ab initio theory
Linking Sino-European Research Institutions in the Mobile Cloud Computing Era (MOBILECLOUD)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Germany,France,Sweden,Italy
Call:  (FP7-PEOPLE-2013-IRSES, 2013)
Start date: 2014-01-01
End date: 2016-12-31
Duration (months): 36.0
Total project cost (EUR): 480900.0
EU funding (EUR): 480900.0
Participants: 4
Project status: CLOSED

Mobile Cloud Computing emerges as a new computing paradigm where mobile devices exploit the available cloud computing platform for performing specific tasks and/or accessing data on demand rather than on the individual devices themselves. A key element missing in current mobile cloud computing design is the need of sufficient consideration on mobile network bandwidth availability and energy consumption for both cloud computing devices and mobile devices. MobileCloud project aims to bridge this gap, addressing how mobile cloud computing services can be delivered in such environments in a highly efficient and energy-efficient manner. The proposed joint exchange project aims to provide a stimulating and structured platform for the exchange of researchers and for the joint development of innovative ideas in the emerging areas within mobile cloud computing and beyond. To achieve this goal, a broad combination of eight universities and research institutions in Europe and China will collaborate together and create a multidisciplinary (cloud computing, mobile computing, telecommunications, computer systems and network optimization) and international (China plus four EU member states) environment for an innovative research experience and knowledge exchange in mobile cloud computing. The specific S&T objectives of MobileCloud are to jointly investigate innovative methodologies and approaches to optimize mobile cloud computing resources and satisfy service requirements including energy efficiency and high resource utilization in the emerging cloud computing era. Our team comprising researchers with complementary expertise is very well positioned to design, develop and evaluate the mobile cloud computing technology, contributing to a new low-energy, scalable and highly efficient networking and computing paradigm. Our efforts will foster continued close cooperations and new collaboration opportunities between research communities of Europe and China.

Keywords: mobile computing,cloud computing,energy efficiency,mobile cloud computing,optimization,resource management,mobility management
Equipping the Next Generation for Active Engagement in Science (ENGAGE)

Framework: FP7 — Capacities
Programme: Science in Society
Destination: Strengthening potential, broadening horizons
Action type: Coordination and support actions
Countries involved: United Kingdom,United Kingdom,Greece,Germany,France,Romania,Israel,Spain,Norway,Netherlands,Switzerland,Lithuania,Cyprus,Italy
Call:  (FP7-SCIENCE-IN-SOCIETY-2013-1, 2013)
Start date: 2014-01-01
End date: 2017-03-31
Duration (months): 39.0
Total project cost (EUR): 2804226.01
EU funding (EUR): 2476238.0
Participants: 16
Project status: CLOSED

The key to engaging the next generation to participate in scientific issues is to change how science is taught. Students gain an image of science as a body of content whereas RRI deals with uncertain areas of knowledge is uncertain, where values and argument matter as much as facts. The shift is hugely challenging. High stakes education systems marginalise teaching about the nature of science. The greater challenge is to help teachers develop the beliefs, knowledge and classroom practice for RRI teaching.. This requires adopting a more inquiry-based methodology, which gives students opportunity for self-expression and responsibility for coming to informed decisions. The literature demonstrates a poor record of success for attempts to build an RRI teaching force, and transformations generally occur with only small numbers. ENGAGE synthesises contemporary models of professional learning and curriculum development. Going beyond training events, its three-stage path will propel teachers in their own inquiry to become expert with RRI. The path requires a first stage, Adopt, which achieves take-up on a massive scale. We use a proven approach to provide an easy entry into inquiry-based teaching. It combines science-in-the-news contexts with strategies from informal learning to get students talking. An online community of practice supports teacher reflection, while online courses and workshops add coaching and feedback. At the next stage, Adapt, they learn an expert’s toolkit of examples, explanations, anecdotes and activities to help students learn effectively, In the third step, Transform, open-ended Projects put teachers and students into partnership with practising scientists, to learn about RRI directly. Our partners bring extensive track records in teacher development and curriculum design. Building on best practice from previous projects, we intend to influence 12,000 science teachers across Europe, and extend this to pre-service teachers and their trainers.

Keywords: professional development,inquiry-based science education,professional learning community,context based science,contemporary science,informal science education,curriculum development
Accurate Simulations in Hydro-Machinery and Marine Propellers (ACCUSIM)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Italy,Slovenia
Call:  (FP7-PEOPLE-2013-IAPP, 2013)
Start date: 2014-02-01
End date: 2018-01-31
Duration (months): 48.0
Total project cost (EUR): 706058.39
EU funding (EUR): 706058.39
Participants: 2
Project status: CLOSED

The design of hydro-machinery is typically based on qualitative, rather than quantitative, assessment of numerical simulations, since the values of the numerically predicted characteristics are frequently far from the measured ones. The primary aim of this project is to develop reliable, high fidelity methods for the accurate prediction, and optimisation, of the performance of hydro-machinery and marine propellers. For this purpose, the participating partners will share their knowledge, and work collaboratively, in CFD (Computational Fluid Dynamics) and particularly in SRS (Scale Resolving Simulations) for turbulent flows, modelling of cavitation, exploitation of HPC and cloud computing, open source CFD tools, and optimisation. In this way, an advanced open source CFD tool, augmented by a multi-objective optimisation framework, will be developed, validated and applied. To the proposer’s best knowledge, this would constitute a novel, and indeed the ultimate tool for the design of hydro-machines – turbines and pumps – and marine propellers. The success of the proposed project is foreseen in the synergistic effects of highly complementary expertise; of two leading edge cross-sectoral European partners: the Applied Physics (Fisica Tecnica) group of the University of Trieste, Italy, and Turboinštitut, a Slovenian SME employing around 140 people, an independent institute for the development of hydro-machinery. The transfer of knowledge through the mobility of skilled researchers will enable the growth and competitiveness of both partners. For the SME, the project will increase its competitiveness on the world market in design and manufacturing of small hydro-machinery, while the Applied Physics group expects to increase its competence in applied CFD, which will be exploited in research activities and disseminated through classes, and its capability in assisting SMEs to apply advanced CAE methods in their design process.

Keywords: hydraulic machines,computational fluid dynamics,numerical simulations,cavitation,turbulence models,optimisation
Breeding for a sustainable agriculture: quality and resistance in the frame of H2020 (BREED4FUTURE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Outgoing Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain
Call:  (FP7-PEOPLE-2013-IOF, 2013)
Start date: 2014-07-01
End date: 2017-06-30
Duration (months): 36.0
Total project cost (EUR): 265263.3
EU funding (EUR): 265263.3
Participants: 1
Project status: CLOSED

Plant diseases cause major production and economic losses in agriculture worldwide by reducing yields, lowering quality and decreasing nutritional value. Monitoring health and diseases in plants is critical for sustainable agriculture aiming at providing an adequate supply of food, feed and fiber. Loss reduction is a high priority for European Agriculture, being a pillar of the new H2020 program. Plants possess several complex, highly effective defense mechanisms, to detect and counter invading organisms and stop them before causing extensive damage. These mechanisms must be understood and applied to ensure our food supply and develop highly disease-resistant crops. This understanding will facilitate crop improvement efforts and will reduce considerably the use of chemical products, largely known for their negative impact in health and environment. Breed4Future will exploit the growing number of genome sequences resulting from high throughput DNA sequencing (i) to identify casual genes conferring disease resistance in Compositae and Rosaceae, increasing our fundamental knowledge which will be applied to achieve durable resistance in other species and (ii) to investigate how allelic variation is distributed in genepools of an inbreeding crop and its wild relatives. Thus, a variety of approaches such as NGS, comparative genomics, genome-wide association studies, expression analyses, genetic mapping and bioinformatics will be undertaken. My outgoing host (Genome Center of UC Davis, USA) is a leading genome center in the USA, pioneering the application of genomics approaches to diseases in plants, field which is largely unexplored at CITA (return host, Spain). Consequently, this project fits well with the new competences demanded by the European Research Area of Sustainable Agriculture. Thus, I will definitely enhance and advance my possibilities to pursue my career at CITA for a permanent position at an excellence-based European plant breeding research group.

Keywords: sustainable agriculture,plant breeding,disease resistance,genetics,compositae,rosaceae,dna technologies,genomics,bioinformatics,h2020,consumers,socio-economics
Simulating quantum systems numerically and physically (SQSNP)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Incoming Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain
Call:  (FP7-PEOPLE-2013-IIF, 2013)
Start date: 2014-06-01
End date: 2016-05-31
Duration (months): 24.0
Total project cost (EUR): 173370.6
EU funding (EUR): 173370.6
Participants: 1
Project status: CLOSED

Although the equations governing quantum systems are elegant and well known, solving these equations to obtain an understanding of how interacting systems behave is incredibly challenging. Of particular interest is the prediction of emergent behaviour in many-body systems - the way in which many particles conspire together to create unexpected and fascinating phenomena such as superconductivity and unconventional phases involving topological order. This project will develop advanced numerical techniques based on understanding quantum information in many-body systems, and apply these techniques to prototypical models and recently developed analogue quantum simulators that allow for direct implementation in a flexible, experimental setting.

Keywords: tensor networks,dmrg,peps,mera,quantum simulators,many-body entanglement,optical lattices,superconducting circuits,lattice models,variational methods