Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Wavelength conversIon in diSpersion engineereD Optical fibres for Mid-IR applications (WISDOM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Numerous high impact applications, in particular in medical diagnostics, environmental and industrial sensing would benefit from the development of wavelength-agile and cost-effective optical sources and detection schemes operating in the Mid-Infrared (MIR) region above ~2 µm wavelength. Existing MIR semiconductor technology and bulk nonlinear optics based solutions present many drawbacks and only partially meet the requirements of MIR applications. A more powerful and versatile approach to access the MIR spectrum relies on exploiting microstructured optical fibres (MOFs) made of MIR transmitting glasses. By exploiting nonlinear processes inside carefully designed fibres, MIR radiation can in principle be generated or detected using more mature Near-Infrared (NIR) sources or detectors. This approach offers three significant practical advantages: 1) it is wavelength-agile and reconfigurable; 2) it uses cost-effective and performant NIR source/detector technology; 3) it can generate compact, ruggedized and light-weight all-fibre devices. Despite a great potential, MIR nonlinear fibres are still a rather immature technology, due to the difficulty to fabricate fibres with suitable dispersive profiles in glasses with good infrared transmission. This task requires interdisciplinary skills in fields ranging from glass science, electromagnetics and waveguide modelling, to laser and nonlinear physics and experimental optics. This fellowship project will provide the opportunity to combine my glass science expertise with the host institution world-renown experience in nonlinear optics and MOF fabrication, with the aim to push MIR nonlinear fibre devices from an academic interest to a real technological reality. The project will target three enabling fibre devices and their use in high-impact applications: a coherent MIR supercontinuum source and two frequency conversion fibre devices for MIR gas sensing and telecoms interband wavelength conversion.

Keywords: nonlinear fibre optics,dispersion engineering,optical fibre fabrication,glass
Online Dialysis Sensor (OLDIAS)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Estonia
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2015-03-01
End date: 2015-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

End-stage renal disease (ESRD) is the most severe form of chronic kidney disease that is an incurable health failure. ESRD is a widespread health issue in developed countries and the patients have only two options: either receive permanent renal replacement therapy or undergo surgery to receive a kidney transplant. There are approximately 3.1 million patients worldwide suffering from ESRD that need artificial methods to replace regular kidney functions in their organism. The main objective of the project is to validate the uremic biomarkers in a clinical research setting by developing a diagnostic medical device in the form of a novel on-line dialysis sensor that offers a unique method for the biomarker detection. At the heart of the development is technology developed by Optofluid Technologies (OFT) that is free of the flaws of current dialysis monitoring methods such as estimating only urea based biomarkers and will offer enhanced possibilities for dialysis monitoring and quality assessment. This enables the developed sensor to outperform all the current monitoring methods on the market and fully utilize the possibilities of modern dialysis methods resulting in higher treatment efficiency and ultimately disrupting the dialysis equipment market and replacing previous technologies. The market demand has been proven by attracting business inquiries from the leading dialysis equipment producers. Negotiations with selected partners are underway. A successful commercialization will help to improve clinical decisions by clinicians leading to better treatment. Besides enhanced treatment quality, the novel OFT´s technology will significantly reduce the environmental impact of the treatment, reduce the healthcare costs of ESRD patients and improve the patients’ life-quality. In order to guarantee a successful commercialization OFT has a team of experts with previous experience in business development and medical technology.

Keywords: uremic biomarkers,end stage renal disease,esrd,dialysis,hemodialysis,optical uv technology
Mesoscopic characterization of human white-matter: a computational in-vivo MRI framework (MWMI)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-12-01
End date: 2017-11-30
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

The goal of this highly multi-disciplinary and inter-sectional proposal is to develop a novel computational in-vivo MRI technique, namely Mesoscopic White-Matter magnetic resonance Imaging (MWMI). MWMI will measure 5 specific micro-scale metrics at a mesoscopic spatial resolution of about 300 μm: myelin, iron, water concentration, axonal density, and the ratio between inner and outer fiber diameter (g-ratio) - a surrogate measure for its conductance speed. Conventional quantitative MRI (qMRI), such as Diffusion Tensor Imaging, can detect but not determine the origin of microstructural changes, whereas MWMI will both detect microstructural changes and identify their origin (e.g. whether learning leads to axonal reorganization or myelination). To facilitate MWMI, 3 major methodological innovations will be developed: (a) Advanced biophysical models: Unlike existing biophysical models (e.g. axonal diameter model), which are ill posed due to the restriction to one qMRI mechanism, MWMI will combine 4 different qMRI mechanisms (relaxometry, diffusion MRI, magnetization transfer, and proton density imaging) to better condition its models. (b) Spatial integration: Novel physically-informed artifact correction methods will allow spatial integration of high-quality maps from 4 different qMRI techniques with sub-voxel accuracy. (c) Mesoscopic resolution: Unlike standard biophysical models and qMRI, the unprecedented resolution of MWMI will allow estimating micro-scale metrics within the white matter that are unbiased by partial volume effects. The pain circuit, which is a fundamental and well-described sense, will be used to demonstrate the feasibility of MWMI. Longitudinal MWMI be performed to measure micro-scale correlated of nociceptive long-term habituation in the spinal cord, the first and crucial anatomical structure associated with pain.

Keywords: diffusion mri,quantitative mri,biophysical models,spinal cord,motion artifacts,susceptibility artifacts,physiological noise,pain stimulation,habituation,longitudinal mri
PHOTON – EDUCATIONAL ROBOT AS A TOOL FOR SHAPING FUTURE OF YOUNG GENERATIONS (PHOTON)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Poland
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-01-01
End date: 2017-05-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Our project responds to the need of creating new tools for children to protect them from wasting their time in virtual internet world, playing computer games or watching television. Because of this behavior, children do not develop themselves in a correct way. They are becoming passive users of modern technologies and they kill their creativity and world curiosity. Another need of our world is a huge demand for programmers. If we will interest children in technology on an early stage of their education showing it in friendly way, they will more willingly choose computer science as a path of their further education. If they are not going to be the programmers, then their ability of logical thinking will help them in choosing path of their future development. Our solution is Photon – an innovative system that teaches programming and logical thinking through entertainment and competition. It is dedicated for children. It involves the usage of a small robot that is fully integrated with a smartphone, tablet or computer based on popular operating systems. This is a great opportunity for the youngest to get interest in expanding their knowledge in technology by showing them its familiar face. Photon is aimed at children aged 6-12 years living mostly in developed regions of the world: mainly Europe and North America. Size of whole market (children between 6-12 age) in US approx. 40 million children and in Europe it is approx. 81 million of children. Our solution is new on market and there are competitors that are already existing on market. Market is also developing fast so it’s hard to estimate SOM. We would like to gain 0.007% SAM (7085 users) in our first three years of operation. Overall goal of this project is to develop and commercialise an innovative system for programming and logic thinking education. With our strengths and competition advantages we are sure that we can successfully put Photon on market.

Keywords: innovative education
Bringing together the Knowledge for Better Agriculture Monitoring (EO4AGRI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Coordination and support actions
Countries involved: Austria,Italy,Austria,Austria,Spain,Lithuania,Belgium,France,Czechia,Czechia
Call: Copernicus evolution – Mission exploitation concepts (H2020-SPACE-2018, 2018)
Start date: 2018-11-01
End date: 2020-10-31
Duration (months): 24.0
Total project cost (EUR): 2762015.0
EU funding (EUR): 2762015.0
Participants: 11
Project status: CLOSED

The main objective of EO4AGRI is to catalyze the evolution of the European capacity for improving operational agriculture monitoring from local to global levels based on information derived from Copernicus satellite observation data and through exploitation of associated geospatial and socio-economic information services. EO4AGRI assists the implementation of the EU Common Agricultural Policy (CAP) with special attention to the CAP2020 reform, to requirements of Paying Agencies, and for the Integrated Administration and Control System (IACS) processes. EO4AGRI works with farmers, farmer associations and agro-food industry on specifications of data-driven farming services with focus on increasing the utilization of EC investments into Copernicus Data and Information Services (DIAS). EO4AGRI addresses global food security challenges coordinated within the G20 Global Agricultural Monitoring initiative (GEOGLAM) capitalizing on Copernicus Open Data as input to the Famine Early Warning System Network (FEW-NET). EO4AGRI assesses information about land-use and agricultural service needs and offers to financial investors and insurances and the potential added value of fueling those services with Copernicus information. The EO4AGRI team consists of 11 organizations, complementary in their roles and expertise, covering a good part of the value-chain with a significant relevant networking capital as documented in numerous project affiliations and the formal support declarations collected for EO4AGRI. All partners show large records of activities either in Copernicus RTD, governmental functions, or downstream service operations. The Coordinator of EO4AGRI is a major industrial player with proven capacities to lead H2020 projects. The EO4AGRI project methodology is a combination of community building; service gap analysis; technology watch; strategic research agenda design and policy recommendations; dissemination (incl. organization of hackathons).

Keywords: cap2020,dias,agri apps
Subsurface Precision detection of Asparagus with Robot Technology for Selective harvesting (SPARTerS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-07-02
End date: 2020-07-01
Duration (months): 24.0
Total project cost (EUR): 3089426.25
EU funding (EUR): 1498042.0
Participants: 1
Project status: CLOSED

Harvesting of white asparagus is still performed manually due to the absence of cost-effective harvesting technology. To date, there are no harvesting machines available, to realise economically viable harvesting cost reduction. Next to undesired working conditions, manual harvesting is characterised by high harvesting cost: 50% labour costs, 30% yield loss and 25% low quality asparagus. Cerescon has developed an automated harvesting technology for white asparagus. This will result in a 50% harvesting cost reduction, 20% increase in yield and 20% increase in production of top class asparagus. Three patented technologies are key: subsurface asparagus detection, a precise cutting mechanism and high processing. This results in 50% harvesting cost reductions and significant reduced losses (from 30 to 5%). The Wageningen University and Research (WUR) conducted a successful technical evaluation and validation of our technology. We now need to scale-up and improve our current prototype to the final setup with all functions while realizing 20% overall cost price reduction. Three important steps form this project: 1) scale up Sparter to have a 3-row configuration, 2) realize cost price reduction of core modules and, 3) demonstrate the reliability, robustness and verify yield and quality increase during two full asparagus harvesting seasons. The user needs have been defined by the Cerescon User Group. The last two years, eight leading asparagus farmers from the Netherlands, Germany and Spain have provided us with their challenges, industry knowledge, application know how and their requirements. They have all signed a Letter of Intent and are the first customers. Our commercialisation strategy focuses on European asparagus farmers (€900 million market) who suffer from a harvesting cost increase. Europe represents almost one third of the world's asparagus market, providing a large primary customer base.

Keywords: asparagus,asparagus detection,subsurface detection,asparagus harvesting,selective harvesting,robotic harvesting,precision agriculture
Process Analytical Technology Tools for Real-Time Physical and Chemical Characterization of Nanosuspensions (PAT4Nano)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Ireland,Ireland,Germany,Belgium,Belgium,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Real-time nano-characterisation technologies (RIA) (H2020-NMBP-TO-IND-2019, 2019)
Start date: 2020-05-01
End date: 2023-10-31
Duration (months): 42.0
Total project cost (EUR): 5092408.75
EU funding (EUR): 5092408.75
Participants: 10
Project status: SIGNED

PAT4Nano offers an integrated, end user-driven, approach to develop and deploy different, yet complementary particle size measurement technologies for in- and online real-time monitoring. These will quantify particle size distribution and chemical composition in nanosuspensions. With the consortium end user partners (Agfa-Gevaert, Janssen Pharmaceutica, and Johnson Matthey), PAT4Nano will focus on applications in pharmaceuticals, inks/pigments, and materials for catalysis, batteries, and glass manufacture. Continuous, rapid, and reliable real-time data from PAT4Nano tools will provide more comprehensive process information than current offline measurements enabling manufacturers to obtain insights into the fundamental dynamics of nanoparticle-based processes. Furthermore, this information can enable continuous process feedback, opening new opportunities to implement real-time process control and feed-forward loops to correct for process variances, leading to better end product consistency and higher process efficiencies. Multi-PAT solutions, where several complementary measurement methods are combined, together with advanced data processing, will further enhance capability by increasing the information that can be extracted from measurements, extending the application range further. PAT4Nano solutions will improve process control and efficiency, and the quality of nanosuspension products. The increased quantity and quality of the real-time data will enhance the efficiency and quality of nanomaterial production. Increased reliability and repeatability will result in more efficient R&D which can produce savings of €3.2M per nanomaterial pharmaceutical product development, for advanced materials it could bring annual savings of >€3M and help advance sustainability, while for Agfa the PAT4nano tools can facilitate new business opportunities leading to local investments (mostly employment) of ~€15 M within 10 years.

Keywords: nanoparticle,particle sizing,process control,online analysis,quality control
Disrupting industrial robots with AI software - how new AI-driven software can be used to program industrial robots to do new tasks faster, resulting in massive productivity savings (OS for Ind robots)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-09-30
Duration (months): 9.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Cambrian Intelligence (“Cambrian”) is a novel retrofittable Artificial Intelligence (AI) software. The solution makes robots adaptive and cuts down robot configuration times from 2-3 weeks to a single day. As a result, production flexibility increases and costs are cut by a factor of +10x. Cambrian has shown that demand for its solution exists by securing a portfolio of notable clients: Mercedes-Benz Daimler, Volkswagen, Sony and Denso. Cambrian’s market is the emerging robotics software market. The potential addressable software market is vast (61B EUR globally) with forecasted double-digit growth (15%). The underlying driver for the market is the global industrial robots install base (+2M globally). Automation and related cost savings drive growth for the robot install base. Manufacturing is the largest single sector for robots. Cambrian has a unique value proposition compared to the five other robot software suppliers • Cambrian’s solution can be retrofitted to all industrial robots • Cambrian’s AI software has a distinct cost advantage vs. traditional naïve robotics software providers • Cambrian’s solution has a competitive advantage vs. other AI software providers due to its novel simulation robot training approach, and its unique focus on the manufacturing sector • Lastly, Cambrian’s solution enables side-by-side work with humans opening doors for new markets (e.g., collaborative robots, SMEs) Cambrian has the plan and the resources to build a global success story • Team has strong technical expertise and experience in building successful businesses • Manufacturing sector provides a winning go-to-market route leveraging existing customer references • To enter the market, Cambrian still needs to develop its solution (TRL 6). H2020/Phase 1 funding will be used to develop the solution from TRL 6 to TRL 7 with Mercedes-Benz Daimler. Later funding will finalize development to TRL 9 and commercialization and scale-up

Keywords: artificial intelligence,robotics,manufacturing,operating system,machine learning
Metropolis 2: A unified approach to airspace design and separation management for U-space (Metropolis 2)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Spain,Greece,Sweden,Belgium,France,Netherlands,Netherlands,Denmark
Call: U-space (H2020-SESAR-2019-2, 2019)
Start date: 2020-11-01
End date: 2022-12-31
Duration (months): 26.0
Total project cost (EUR): 1692760.0
EU funding (EUR): 1692760.0
Participants: 9
Project status: CLOSED

Metropolis 2 will provide the fundamentals for concrete solutions for U-space U3/U4 services that are needed to enable high-density urban aerial operations, with a unified approach to the following U-space services: strategic deconfliction, tactical deconfliction, and dynamic capacity management. Thus far, U-space efforts have focused on developing a set of baseline services (i.e., U1 and U2 capabilities enabling services such as identification, flight planning, and tracking). When deployed, these services will enable low traffic density applications such as agricultural surveillance and infrastructure inspection. Urban, high-density operations, however, will require a different approach, and a degree of autonomy that does not yet exist in current-day air traffic management. First, in order to sustain high traffic demands, the urban airspace must be able to allow a shared use of airspace, rather than the approach used today of exclusively assigning parts of the airspace to individual flights. Secondly, at the expected extremely high traffic densities, airspace design, flight planning, and separation management become increasingly interdependent. With the traffic densities that are considered for urban applications these interdependencies necessitate a unified approach to all aspects of traffic management that determine how vehicles interact with each other. This project will develop a unified approach to airspace rules on the one hand, and flight planning and separation management approaches on the other hand. It will build upon the results of the current U-space projects, the first Metropolis project, and established separation algorithms. Several concepts, differing in how separation is performed (strategic/tactical, ground/air) will be compared using simulations, and the most promising concept will be validated in a real-world demonstration. The results of Metropolis 2 will contribute towards enabling safe and efficient U-space operations in urban environments.

Keywords: u space,separation management,airspace design