Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Electron Spin Resonance Nano-Imaging for the Analysis of Semiconductor Devices (SPINOFF)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Proof of concept grants
Action type: Support for frontier research (ERC)
Countries involved: Israel
Call:  (ERC-2011-PoC, 2011)
Start date: 2012-04-01
End date: 2013-03-31
Duration (months): 12.0
Total project cost (EUR): 166200.0
EU funding (EUR): 149820.0
Participants: 1
Project status: CLOSED

The semiconductor industry is a multibillion-dollar endeavor situated at the heart of the modern world. During the development and production of semiconductor devices things can go wrong, and the source of the problems must be analyzed. This is the impetus for another large industry aimed at providing methods for failure analysis (FA) of semiconductor devices. FA systems make use of a variety of sophisticated techniques that provide a wealth of information at very high spatial resolutions. However, current techniques have limitations, especially regarding the non-destructive measurement of the internal structure and material composition of the devices. Electron spin resonance (ESR) is a well-established technique for the characterization and imaging of paramagnetic materials. In semiconductors, ESR has been used extensively to study paramagnetic properties such as crystal impurities, defects, and dopants that greatly affect the devices’ performance. However, conventional ESR has very limited sensitivity and image resolution, making it unattractive for the study of the sub-micron-scale devices that are in use today. Our current ERC project has recently resulted in a method that improves ESR sensitivity by about 3 orders of magnitude compared to commercial systems. We also enhanced the spatial resolution of ESR-based images to the 100-nm length scale. Such capabilities heighten ESR’s attractiveness as a potential semiconductor-inspection tool. The purpose of the proposed project is to develop a demonstration prototype of a one-sided ESR imaging probe based upon this new methodology. This probe will examine semiconductor wafers and analyze their properties, composition, and structure in a non-destructive manner. We will also provide market research on the field of FA and examine how our new method fits into it. Special attention will be paid to strengthening IP protection for our idea and to finding means to attract more funds to commercialize this technology.

Keywords: 201665
Eco-friendly biorefinery fine chemicals from CO2 photo-catalytic reduction (ECO2CO2)

Framework: FP7 — Cooperation
Programme: Nanosciences, Nanotechnologies, Materials and new Production Technologies - NMP
Destination: Materials
Action type: Collaborative project
Countries involved: Italy,Netherlands,Belgium,Italy,Netherlands,Switzerland,Spain,Spain,Spain
Call:  (FP7-NMP-2012-SMALL-6, 2012)
Start date: 2012-12-01
End date: 2016-05-31
Duration (months): 42.0
Total project cost (EUR): 4711872.27
EU funding (EUR): 3424438.0
Participants: 9
Project status: CLOSED

The Eco2CO2 project aims at exploiting a photo-electro-chemical (PEC) CO2 conversion route for the synthesis of methanol as a key intermediate for the production of fine chemicals (fragrances, flavourings, adhesives, monomers,…) in a lignocellulosic biorefinery. A distinct improvement in the ecological footprint of the envisaged chemical industries will thus be achieved by: i) boosting the potential of lignocellulosic biorefineries by exploiting secondary by-products such as furfurals or lignin; ii) providing a small but non-negligible contribution to the reduction of CO2 release into the atmosphere by exploitation of sunlight as an energy source. The most crucial development in the project will be the development of a PEC reactor capable of converting CO2 into methanol by exploiting water and sun light with a targeted conversion efficiency exceeding 6%, with reference to wavelengths above 400 nm, and an expected durability of 10.000 h. The above specifications must be reached without using expensive noble metals or precious materials which should enable costs of the PEC panels lower than 60 Euro/m2 including the installation. Catalytic reactions of methanol and furfural to produce perfuming agents via partial oxidation or methylation, as well as of lignin or lignin depolymerisation derivatives to produce adhesives or monomers (e.g. p-xylene) will undergo a R&D programme to achieve cost effective production of green fine chemicals, proven by the end of the project via lab bench tests of at least 100 g/h production rates. Based on early calculations, if successful, the Eco2CO2 technologies should be capable of inducing avoided CO2 emissions by the year 2020 as high as 50 Mtons/year worldwide.

Keywords: carbon dioxide,methanol,fine chemicals,biorefinery,photo-electro-chemical conversion,furfural,lignin,perfuming agents,fragrances,flavourings,cresol,adhesives
Improvement of research and innovation potential of Research Institute for Fisheries, Aquaculture and Irrigation (HAKI) to promote technological development in Central and Eastern European aquaculture (AQUAREDPOT)

Framework: FP7 — Capacities
Programme: Research Potential
Destination: Unlocking and developing the Research Potential of research entities established in the EU�s Convergence regions and Outermost Regions
Action type: Coordination and support actions
Countries involved: Hungary
Call:  (FP7-REGPOT-2012-2013-1, 2012)
Start date: 2013-01-01
End date: 2015-12-31
Duration (months): 36.0
Total project cost (EUR): 1525096.0
EU funding (EUR): 1370662.0
Participants: 2
Project status: CLOSED

Aquaculture is a recognised future option to provide animal protein to the increasing population since it is an efficient user of feed and water resources, and fish is a unique source of unsaturated fatty acids that have significant health benefits. The Research Institute for Fisheries, Aquaculture and Irrigation (HAKI) is a regional centre of excellence and an important representative in various European initiatives aiming at aquaculture development. This has been recognised as an unexplored opportunity to contribute to the improvement of rural livelihoods in the Central and Eastern European (CEE)region, where the low technological level of fish farming provides significant scope for innovation.. The objective of the proposal is to strengthen the research potential of HAKI in order to become the leading research and innovation knowledge centre in the field of freshwater aquaculture development in the CEE region, which could subsequently act as a driving force of technological development and improvement of the fish product supply in the region. In the frame of the project, HAKI will acquire new knowledge, competencies in the field of research, innovation and Intellectual Property (IP) development, build strategic partnerships with outstanding research partner organisations, mobilise human resources, enhance research capacity and develop its research infrastructure. In order to achieve the enhancement of its innovation potential, HAKI will collaborate actively with three leading European research entities, an IP office and a SME during the implementation of the project activities.

Keywords: aquaculture,sustainability,ras,convergence region,cee,haki,research,innovation,ip management
Low-Power Parallel Computing on GPUs (LPGPU)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Germany,Austria,Sweden,United Kingdom,United Kingdom,Greece
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-09-01
End date: 2014-10-31
Duration (months): 38.0
Total project cost (EUR): 3614054.0
EU funding (EUR): 2820000.0
Participants: 6
Project status: CLOSED

Massively parallel GPUs are now being used in a great variety of market segments, ranging from video-games, to user interfaces, and to HPC. There are several signs, however, that computer and consumer technology industries are faced with major challenges in delivering improved performance and innovation for future entertainment devices. First, game developers have argued that while GPUs are increasing in performance, this is not leading to visual quality improvements because GPUs fundamentally restrict their flexibility. Second, there are signs that GPUs are approaching a “power wall”, and architecture innovation is required now to circumvent this wall. Third, there is a lack of GPU tools available to compare multi-core processors (CPUs) to GPUs and to perform GPU program transformations to optimize for performance and power. To address these challenges, this project brings together commercial tools, applications and GPU designers, with academic researchers to analyze real-world mass-market software on comparable graphics processor architectures. The project results will help the design of next-generation GPUs, games consoles, and mobile phones, and help software developers produce graphically innovative software in the future. European companies lead in the design of mobile phone CPUs and GPUs, and are world leaders in video-games technology. These companies need to make large investments in R&D for graphics, for which it is vital that they have reliable information. The main market areas for increased processor performance over the next few years are graphics and video-games. Therefore, the companies in the consortium are world leaders in real-time lighting for computer graphics (Geomerics), video game AI (AIGameDev.com), power-efficient GPU design (Think Silicon) and GPU tools (Codeplay), and the universities in the consortium are leading experts on low-power computer architecture (Uppsala) and parallel applications and multi-core architectures (TUB). The project seeks to achieve: power and bandwidth reductions of 2x or more on real-world software on next-generation GPUs, as well as GPU architecture designs that are capable of advanced real-time graphics techniques (such as radiosity and game AI) at power levels suitable for battery-powered devices.

Keywords: performance,analysis,low-power,heterogeneous multi-core,acceleration,graphics,video-games,runtime implementations,efficient execution
Micro-Technologies and Systems for Robot-Assisted Laser Phonomicrosurgery (URALP)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Italy,France,Germany
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-16
End date: 2015-03-31
Duration (months): 39.0
Total project cost (EUR): 3559363.0
EU funding (EUR): 2650000.0
Participants: 5
Project status: CLOSED

Lasers form an increasingly common tool for precision treatment of pathological conditions on delicate and vital human organs. Laser phonomicrosurgery, which is a suite of complex otolaryngological surgical techniques for the treatment of minute abnormalities in the larynx, is one such example. However, laser aiming control for this procedure relies completely on the dexterity of surgeons, who must operate through a microscope and deal with its associated poor ergonomics, and this can have a strong impact on the quality of the procedures. In addition, the laser beam is directed from a comparatively large range (400mm), resulting in accuracy and consistency problems, and requiring extensive surgeon training. In this multidisciplinary project a redesign of this surgical setup is proposed to create an advanced augmented micro-surgical system through research and development of real-time cancer tissue imaging, surgeon-machine interfaces, assistive teleoperation, intelligent (cognitive) safety systems, and augmented-reality. Furthermore, research and development of new endoscopic tools and precision micro-robotic end effectors will allow relocating the laser actuator closer to the surgical site. This will allow unprecedented levels of accessibility and precision, while the surgeon will operate in a more ergonomic, information-rich, and assistive environment. The outcomes of the project will be improved quality, safety, and effectiveness in laser phonomicrosurgery, enabling total tumour removal with minimal damage to healthy tissue. The research efforts herein will generate new knowledge in the design and control of medical micro-mechatronic devices; cancer tissue imaging; assistive teleoperation in medicine; physician-robot interfaces; and cognitive computer vision. These technological advances will pave the way towards new and safer minimally invasive laser microsurgeries, leading to a significantly enhanced capacity for cancer treatment in general.

Keywords: robot-assisted surgery,laser surgery,micro-mechatronic systems,endoscopy,cancer imaging,augmented-reality,assistive teleoperation,cognitive safety,visual servoing,translational research
Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for the ageing population (ROBOT-ERA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Italy,Sweden,Germany,United Kingdom,Germany,Germany,Italy
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 8555038.0
EU funding (EUR): 6470000.0
Participants: 12
Project status: CLOSED

The objective of the Robot-Era proposal is to develop, implement and demonstrate the general feasibility, scientific/technical effectiveness and social/legal plausibility and acceptability by end-users of a plurality of complete advanced robotic services, integrated in intelligent environments, which will actively work in real conditions and cooperate with real people and between them to favour independent living, improve the quality of life and the efficiency of care for elderly people. The Robot-Era proposal is conceived as an IP project because of its ambition to design, implement and validate a set of robotic services for “ageing well”, facing fundamental scientific and technological challenges on robotics and ambient intelligence, cognitive-inspired robot learning architectures, elderly user-needs, design for acceptability and legal/insurance regulations and standards for real deployment. The ambition of Robot-Era project is to significantly enhance the performance and acceptability of the current services to a new level of quality. Different already available and commercial robotic systems will be adapted and integrated to cooperate and operate in domestic, condominium and outdoor environments. The level of robotic services will be effectively enhanced thanks to the inclusion of cooperative robots that will be able to contemporarily act in indoor and outdoor environments, and of the AmI infrastructure, fully integrated in domestic and urban contexts that will facilitate the operations of robots, provide effective tools to supervise the various scenarios and ensure safe operations, and connect end-users, service providers and robots. The Robot-Era proposal aims to implement a fully realistic and real experimental setup in urban and domestic environments and with different kinds of citizens: the elderly users, the service providers, the municipalities, and the caregivers.

Keywords: robotic services for ageing well,smart environments,independent living,design for acceptability,cooperation of robots,sensory motor skylls,cognitive capabilities,service and business models.
Advanced Research Initiatives for Nutrition & Aquaculture (ARRAINA)

Framework: FP7 — Cooperation
Programme: Food, Agriculture and Fisheries, and Biotechnology
Destination: Sustainable production and management of biological resources from land, forest, and aquatic environment
Action type: Collaborative project
Countries involved: France,United Kingdom,Spain,Greece,Spain,Hungary,Netherlands,Italy,Portugal,Denmark,France,United Kingdom,Ireland,Norway,Italy,Hungary,Italy
Call:  (FP7-KBBE-2011-5, 2011)
Start date: 2012-01-01
End date: 2016-12-31
Duration (months): 60.0
Total project cost (EUR): 8120855.61
EU funding (EUR): 5999803.0
Participants: 23
Project status: CLOSED

Sustainable development of European fish farming is dependent on the availability, environmental sustainability of feeds relying less and less on capture fisheries derived fishmeal and fish oil. The European aquaculture industry has made a determined shift towards the use of feeds based on alternative ingredients which continue to ensure the health and welfare of fish and the nutritional value of farmed seafood. However, the long term effects of such interventions and over the full life cycle of the major species farmed in Europe need to be determined. To answer this challenge, ARRAINA will define and provide complete data on the quantitative nutrient requirements of the five major fish species and develop sustainable alternative aquaculture feeds tailored to the requirements of these species with reduced levels of fish meal and fish oil. By developing innovative vectors to deliver specific nutrients, ARRAINA will increase significantly the performance at all physiological stages thus improving overall efficiency of fish production. ARRAINA will apply targeted predictive tools to assess the long-term physiological and environmental consequences of these changes in the different species. This will provide flexibility in the use of various ingredients in the formulation of feeds which are cost-efficient, environmentally friendly and which ensure production of seafood of high nutritional value and quality. ARRAINA will design and deliver new pioneering training courses in fish nutrition to increase research capacities and expertise, particularly in countries of the enlarged EU. By developing applied tools and solutions of technological interest in collaborations with SMEs, ARRAINA will further strengthen the links between the scientific community and the EU feed industry and will contribute to increase the productivity and performance of the aquaculture sector leading to competitive advantage to the whole sector at a global level.

Keywords: aquaculture,nutrition,plant-based feed,alternative feeds,long-term effect,fish metabolism,fish performance,fish quality,waste management,nutritional requirements,european farmed fish species
FAll Repository for the design of Smart and sElf-adaptive Environments prolonging INdependent livinG (FARSEEING)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Italy,Germany,Netherlands,Norway,United Kingdom,Switzerland,France,Germany
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-01
End date: 2015-03-31
Duration (months): 39.0
Total project cost (EUR): 4597910.0
EU funding (EUR): 3489000.0
Participants: 12
Project status: CLOSED

Healthy independent living is a major challenge for the ageing European population. Promotion of stimulating physical activity and prevention of falls are two key factors. Smart ICT offers unique proactive opportunities to support older people in their own homes. The FARSEEING project aims to provide groundbreaking results for health promotion, fall prevention and technical development. Falls in older persons are common, often leading to institutionalisation and loss of independence. FARSEEING aims to promote better prediction, prevention and support of older persons, by long-term analysis of behavioural and physiological data collected using Smartphones, wearable and environmental sensors: leading to self-adaptive responses. FARSEEING aims to build the world’s largest fall repository. This will include samples of both high functioning community-dwelling elders and high-risk groups of fallers. The architecture of the database will facilitate collection, analysis and processing of data related to falls, daily activity and physiological factors. The inclusion of a longstanding cohort study ensures a representative population sample, which is urgently needed to translate technological advance into real world service provision. Telemedicine service models using open technological platforms, independent of sensor systems, will be developed for detection of falls and exchange of information between the older person, family, caregivers and health-care personnel. Novel exercise regimens will be developed that increase adaptability and stimulate motor learning, and cognitive and emotional well being. The exercise model will focus on capacity to manage a complex challenging environment. User acceptability is central to FARSEEING. Psychological and gerontological expertise is a core activity, including ethical, privacy and e-inclusion dimensions. Data protection will be paramount to build and validate realistic business models and service provision.

Keywords: independent living,persuasive technology,fall prevention,fall detection,home automation,smartphone,wearable sensor,community-dwelling elders,fall repository,e-inclusion,fall risk mode
Integrated Assessment of Societal Impacts of Emerging Science and Technology from within Epistemic Networks (EPINET)

Framework: FP7 — Capacities
Programme: Science in Society
Destination: A more dynamic governance of the science and society relationship
Action type: Collaborative project
Countries involved: Norway,United Kingdom,United Kingdom,Belgium,Netherlands,European organisations area,Spain
Call:  (FP7-SCIENCE-IN-SOCIETY-2011-1, 2011)
Start date: 2012-05-01
End date: 2015-04-30
Duration (months): 36.0
Total project cost (EUR): 1927263.4
EU funding (EUR): 1488746.0
Participants: 7
Project status: CLOSED

The EPINET project will investigate conditions for the development of more integrated technology assessment (TA) methods. It will develop methods and criteria to be used for more socially robust and efficient practices on the interfaces between TA and the world of policy makers and innovators. At present, a large number of TA methodologies and practices exist. Many of these are based on varying – and sometimes conflicting, unclear - values, presuppositions, interests and commitments. This is problematic, insofar as differing conclusions and recommendations will follow from different methodologies and disciplines; hence the need for more integrated approaches. However, the irreducible difference of perspectives and plurality in the field of TA needs to be recognised and used as a resource. EPINET introduces the concept of epistemic networks as a way of conceptualising complex developments within emerging fields of sociotechnical innovation practices. It establishes a weak or “soft” framework within which the plurality of different TA practices can be explored in a concerted and holistic manner; EPINET uses this to study four cases: wearable sensors, cognition for technical systems, synthetic meat and smart grids. “Integrating TA”, it is claimed, is a task for empirical investigation in which implicit values of TA methodologies, disciplines and practices are spelled out and placed in relation to the practices they are meant to assess. This is the context of innovation conceptualised through the concept of emerging and future epistemic networks. EPINET develops a holistic framework for integrating assessments through gradual co-production of methodologies and concepts (centrally that of “responsible innovation”) together with innovators and policy makers. The challenges of “integrating assessments”, we claim, can only be gradually worked out within such a holistic view of complex intersecting networks and practices.

Keywords: technology assessment,policy makers,integration,epistemic networks,innovation,social robustness,grand societal challenges,responsibility,good governance