Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
EMWORK – The fully automated EMC filter designer (EMWORK)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

All electronic devices emit interference that if left un-controlled would cause them to not function correctly. Products must pass stringent emissions standards to control this interference. Even some of the most experienced EMC (ElectroMagnetic Compatibility) test and design Engineers can spend many hours investigating and experimenting with solutions to pass such tests. The field is complex, constantly requiring new solutions and is sometimes called ‘mysterious magic’ by Electrical and Electronic Design Engineers. Trial and error is common practice for finding the solutions. Today, ever faster computational performance is leading to ever increasing emissions. The emissions standards are changing and evolving to adapt, but engineers and companies are using tools and techniques that are 30 years old. Product design companies are spending ever increasing amounts of time and money attempting to control the emissions and products struggle to be launched successfully. At Emzer, we wish to launch EMWORK, a product that will not only automate and massively speed up the actual emissions measurement, but it will also automatically design the correct filter solution for a given product to allow it to meet emissions standards. Based on the results of years of research work from Doctors in Electromagnetic Compatibility with industrial experience, we aim to drive a revolution in EMC. The market for EMC test-equipment has been valued at $ 1.38 billion worldwide with very strong growth predictions. Supported by Wavecontrol, a company with 20 years of experience supplying EMC equipment, we aim to achieve 1% of our target market by 2023, achieving sales of 10.3 MEUR and 25 employees. With SME Phase 1 we wish to fully ‘stress-test’ our conclusions and develop a more solid business plan for defining our route to market and the funding to support it.

Keywords: electromagnetic compatibility,conducted emissions,impedance,power line filters,time domain,measurements,instrument,electronics,automated design,line impedance stabilization network
FIbre OrientatioN Analysis of fibre-reinforced components (FIONA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-01-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Fibre reinforced materials components (e.g. glass/carbon-fibre-reinforced plastics) have recently emerged as a mechanically viable, cheaper and cleaner alternative to load-bearing metal parts – becoming a multi-billion market expected to be worth over $135bn by 2021. Their mechanical strength depends on the local fibre orientation, which needs to be aligned with the main loading directions. Fibre-reinforced part design workflows typically involve many iterations with test castings and associated labour-intensive manual 2D experimental validation of fibre distribution/orientation to optimize the injection moulding parameters to reach the desired design specification. Thus, proper 3D tools for fibre orientation characterization are lacking and would greatly reduce the time required to go subsequently from initial design to final tested FRP components. Current characterization methods are limited to destructive testing of fibre-reinforced parts, from which fibre orientation and distribution can only be observed in very small regions. This primarily stems from the fact that existing methods (e.g. microCT) need to resolve individual fibres to then infer structural information. In opposition, Xnovo’s disruptive imaging technology - FibreScanner3D - directly probes previously inaccessible structural data, encoding fibre direction and distribution over entire parts. This will greatly facilitate design optimization workflows and is expected to reduce by a factor of 2 the number of design iterations and the time required to go from initial design to the final fully optimized component. The potential of our disruptive imaging technology is soundly supported by the strong industrial endorsement and thus the successful implementation of the present project will represent a significant business opportunity for Xnovo, opening a significant revenue stream for our SME and creating at least 15 new direct jobs in the first 5 years of commercialization.

Keywords: 3d x ray imaging,fibre reinforced plastics,3d tensor image analysis,interference x ray optics
The role of non-growing season processes in the methane and nitrous oxide budgets in pristine northern ecosystems (FluxWIN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-04-01
End date: 2025-03-31
Duration (months): 60.0
Total project cost (EUR): 1577818.75
EU funding (EUR): 1577818.75
Participants: 1
Project status: SIGNED

The response of the terrestrial biosphere to climate change is still largely unknown and represents a key uncertainty in climate change predictions. High latitude regions, including Arctic and boreal ecosystems, constitute a key component of the earth system due to significant soil carbon stocks. High latitude regions are net sources of greenhouse gases, such as methane (CH4) and nitrous oxide (N2O), but there is significant disagreement among flux estimates with further uncertainty due to a rapidly changing environment. Climate change effects are particularly strong during the non-growing season, altering the timing of spring snowmelt, fall freeze-up, and increasing winter temperatures. The changes have significant implications for biogeochemical cycles and ecosystem function across high latitude regions. Despite growing evidence of the importance of non-growing season greenhouse gas emissions, few measurements have been made in pristine Arctic and boreal ecosystems. Non-growing season CH4 emissions can account for 10-100% of annual CH4 flux, while next to nothing is known about emissions of N2O during this period. Process-based models miss non-growing season emissions of CH4, underestimating them by 67% and annual emissions by 25%. I will use complementary observations (WP1), modelling (WP2), and experiments (WP3) to quantify the annual magnitude of CH4 and N2O flux, identify controls on non-growing season flux, and assess why existing models of CH4 flux fail outside of the growing season. Are environmental conditions so different that existing model parameters fail, or is non-growing season biogeochemistry fundamentally different? The overall impact is to shift the paradigm from “nothing happens outside of the growing season” to “capturing non-growing season processes is key to understanding ecosystem dynamics.” Ultimately, results will provide novel insights into greenhouse gas budgets and transform our understanding of fundamental earth system dynamics.

Keywords: methane,nitrous oxide,boreal ecosystems,tundra ecosystems,winter,fall,spring,seasonality,peatlands,wetlands,modeling
Site-directed RNA Editing to Manipulate RNA and Protein Function (RNArepair)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-08-01
End date: 2021-01-31
Duration (months): 66.0
Total project cost (EUR): 1808200.0
EU funding (EUR): 1808200.0
Participants: 1
Project status: CLOSED

Enzymatically active RNA-guided proteins, like the RNA-induced silencing complex (RISC), are particularly versatile tools for the rationally programmed manipulation of genetic information. After successful re-addressing of various natural RNA-guided machineries it is now time to tackle the engineering of novel, user-defined tools. With this respect we have recently achieved the engineering of an RNA-guided adenosine-to-inosine RNA editing machinery. Since inosine is biochemically read as guanosine, A-to-I editing alters genomic information on the RNA-level and may potentially allow for the manipulation of RNA processing or protein function. We have already achieved to apply our RNA editing approach for the repair of several missense and nonsense point mutations on reporter and disease-related genes in vitro and demonstrated its applicability in mammalian cell culture. Now, we want to push the method further towards application. To enable editing in oocytes, primary cells and neurons, we will establish to deliver the editing tool by lentiviral vectors and stabilized mRNAs. We further aim to create cell lines expressing the artificial editing machinery under conditional control. We will repair reporter genes in developing worm oocytes, and we want to reconstitute mutations that cause neuro-diseases. We also wish to establish new features including photocontrol and the application of editing to steer protein localization. If successful, site-directed RNA editing will enable us to manipulate RNA and protein function in a yet unprecedented way. The ready introduction of point mutations into mRNAs without the need for genomic engineering may dramatically facilitate the study of protein function, disease mechanism and may even allow for the treatment of diseases based on personalized genetic information.

Keywords: photochemistry
Impact of Environmental Tobacco Smoke on Incidence and Outcomes of Dementia. (DEMETS)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-02-01
End date: 2020-01-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Environmental Tobacco Smoke (ETS) remains prevalent globally. Its association with dementia is unclear. We propose to investigate impacts of ETS on dementia risk and outcomes, and examine levels and determinants of ETS exposure post dementia. In a case-control study in the UK we will recruit 150 elders aged>=75 years with newly diagnosed dementia, 150 with already diagnosed dementia and 150 without dementia from the Royal Wolverhampton hospital. Each participant will be interviewed for socio-demography and risk factors and have saliva samples taken for cotinine analysis. Using multivariate logistic regression models we will examine the association of ETS measured by cotinine with newly diagnosed dementia, and identify factors influencing ETS exposure in people with already diagnosed dementia. We will analyse data from a cohort of 6071 participants aged >=60 years in China, who had the details of ETS exposure recorded in a 5-province health survey in 2007-2009 and were re-interviewed in 2010-2012 to diagnose incident dementia. We will examine incident dementia in relation to baseline ETS exposure, and the impact of ETS exposure on mortality and multimobidity in participants with dementia using multiple adjusted Cox regression models. In the UK we will further run 2 focus groups and explore preventive measures of ETS exposure in older people with and without dementia. Our rich data, including a biomarker elevated upon exposure to ETS will offer internationally applicable insights into the impacts of ETS on dementia incidence and outcomes. Throughout the research project, use of varied study and research methodologies and rigourous training courses, our Fellow will develop his leadership skills and further his career in public health research. The project will strengthen a long-term collaboration between China and EU partners, and will provide Europe with new data to prevent dementia and to reduce ETS.

Keywords: dementia,alzheimer s disease,passive smoking,public health,epidemiology
Computer vision with an eye For Real Estate (CV4RE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-09-01
End date: 2020-07-31
Duration (months): 23.0
Total project cost (EUR): 1695653.75
EU funding (EUR): 1186957.63
Participants: 1
Project status: CLOSED

Online real estate platforms are particularly at risk of falling behind the requirements of digitally savvy clients. Real estate portals rely on photographs of properties with manually tagged & often missing descriptions that make it troublesome for consumers to quickly research, compare & come to a decision about which properties they want to physically investigate. Online portals that do not adapt to the tectonic shifts in Consumer Attention risk internet anonymity at best &, at worst, of being perceived as so obsolete that buyers & renters completely bypass their websites. Restb.ai offers CV4RE, a computer vision API that scans real estate images and automatically returns, in real time, tags that classify the scene of the image (e.g. living room) and what features of interest are in this image (e.g. fireplace, hardwood floors). CV4RE identifies, tags, and describes properties, in the same way real estate agents would, obtaining very high confidence scores. Our Customers are online real estate portals, real estate CRM companies, independent real estate agents and home furnishing corporations. Our technology gives them the following benefits: Boost SEO, revolutionize site search, easily recommend similar homes, organize the images, enable visual comparison of listings, optimize thumbnails, improve conversion rates, improve site accessibility and monetize logos. Our competitive advantages are Real estate-specific tags, best-in-class accuracy (99%) and real time speed. The global capital allocations to direct real estate have doubled, rising from €141 B in 2012 to €271B in 2016. Over the same period venture capital funding into RealTech companies increased 1200% from €88M in 2012 to €2.21B in 2016 CV4RE has a TAM of €267M, SAM of €137M & SOM of €16.5M by 2024. Restb.ai has a realistic & innovative business model PaaS (Platform as a Service), where we charge a flat fee for a maximum of processed images per month.

Keywords: computer vision,image recognition,deep learning,real estate,cloud platform,paas,neuronal network,realtech
New Horizons in Quantum Matter: From Critical Fluids to High Temperature Superconductivity (HQMAT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Israel
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-01-01
End date: 2024-12-31
Duration (months): 72.0
Total project cost (EUR): 1515400.0
EU funding (EUR): 1515400.0
Participants: 1
Project status: SIGNED

Understanding the low-temperature behavior of quantum correlated materials has long been one of the central challenges in condensed matter physics. Such materials exhibit a number of interesting phenomena, such as anomalous transport behavior, complex phase diagrams, and high-temperature superconductivity. However, their understanding has been hindered by the lack of suitable theoretical tools to handle such strongly interacting quantum ``liquids.'' Recent years have witnessed a wave of renewed interest in this long-standing, deep problem, both from condensed matter, high energy, and quantum information physicists. The goal of this research program is to exploit the recent progress on these problems to open new ways of understanding strongly-coupled unconventional quantum fluids. We will perform large-scale, sign problem-free QMC simulations of metals close to quantum critical points, focusing on new regimes beyond the traditional paradigms. New ways to diagnose transport from QMC data will be developed. Exotic phase transitions between an ordinary and a topologically-ordered, fractionalized metal will be studied. In addition, insights will be gained from analytical studies of strongly coupled lattice models, starting from the tractable limit of a large number of degrees of freedom per unit cell. The thermodynamic and transport properties of these models will be studied. These solvable examples will be used to provide a new window into the properties of strongly coupled quantum matter. We will seek ``organizing principles'' to describe such matter, such as emergent local quantum critical behavior and a hydrodynamic description of electron flow. Connections will be made with the ideas of universal bounds on transport and on the rate of spread of quantum information, as well as with insights from other techniques. While our study will mostly focus on generic, universal features of quantum fluids, implications for specific materials will also be studied.

Keywords: transport without quasiparticles,high temperature superconductivity,quantum phase transitions,quantum monte carlo
People under Pressure: Settlement Abandonment and Human Responses to Environmental and Socio-Economic Stress during the Medieval and Post-Medieval Periods (ABANDONMENT)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2017-12-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The ABANDONMENT project explores the pan-European phenomenon of settlement desertion and shrinkage, which occurred especially during the 14th and 17th centuries. Despite considerable attention being paid to this particularly rich aspect of archaeological records (within several disciplines), the process of abandonment still remains poorly understood. The project aims to explore how rural communities and the settlements they lived in responded to socio-economic and environmental stress. The specific objectives are: (a) to determine the processes of settlement shrinkage and abandonment across England; (b) to contextualise changes in settlement patterns within wider transformations of land-use within distinct regions in the longue durée perspective; (c) to explore the cultural and environmental context of settlement evolution (and extinction) across northern and central Europe to determine the impact of these factors on communities. This interdisciplinary research programme will bring together well-published and especially unpublished data from excavations and fieldworks. These will be supplemented by aerial photographs, LiDAR data, documentary evidence, historical maps, field-names and palaeoenvironmental data, with their collection and analysis via a GIS. This comparative, multi-scale research covers contrasting areas in the UK that were meaningful in the past in terms of their settlement pattern, geographical conditions and economy (the moors of the South West England, East Anglia, the claylands of the East Midlands and the North East of England), and tests the outcomes in broad geographical context through a comparison with Continental Europe. The fellowship in the University of Exeter, with the largest group of landscape archaeologists focusing on the historic period in the UK, enables the applicant to receive high-quality training. New gained skills and experience of the researcher will enhance his future interdisciplinary and international career perspectives.
image Manipulation Attack Resolving Solutions (iMARS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Strengthen security through border management
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Germany,Estonia,Germany,Cyprus,Norway,Belgium,Moldova, Republic of,Norway,Belgium,Greece,Norway,France,France,France,Netherlands,Netherlands,Netherlands,Portugal
Call: Technologies to enhance border and external security (H2020-SU-SEC-2019, 2019)
Start date: 2020-09-01
End date: 2024-08-31
Duration (months): 48.0
Total project cost (EUR): 6988521.25
EU funding (EUR): 6988521.25
Participants: 26
Project status: SIGNED

Though difficult to quantify, the variety of possible ID document frauds at borders is a reality that threatens politicians holding responsibility for borders as well as EU citizens. Based on the needs expressed by practitioners, the iMARS consortium has shaped a project that will: 1/ improve the operational capacity of passport application and border control operators by providing both - short-term adhoc solutions ensuring reliable passport application procedures - and mid-term solutions with no-reference and differential analysis solutions that can in particular detect manipulated and morphed passport images as well as document fraud. iMARS will provide: • Image morphing and manipulation attack detection solutions to assess ID documents validity against document fraud, during enrolment and renewal steps, as well as at the border crossing stations • Document verification and fraud detection solutions to support border guards in the verification process by providing mobile tools that can check document’s integrity To reach the targeted TRL6, these technologies will be validated in laboratory conditions using operational data collected from six border control sites (with border to countries outside EU). 2/ ensure the uptake of its outcomes after the project’s end. iMARS will: • promote usability/ergonomic aspects by providing training, guidelines and best practices to border guards and passport application officers • contribute to the ongoing standardisation efforts in the field of Presentation Attack Detection and face image quality • provide open access benchmarks (2 datasets with multiple enrolment morphed face images and border gate probe images) on a specific testing platform serving follow-on research activities • ensure that the technologies developed are accepted by citizens and respect privacy and legal EU regulations.

Keywords: image manipulation,morphing,id document fraud,detection techniques,face sample quality