Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Developing a monitoring system for urban gas pipelines by utilizing state of the art accelerometers, advanced signal processing, and advanced intelligent algorithm based recognition (TM Field Analyzer)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Estonia
Call: Critical infrastructure protection topic 7: SME instrument topic: “Protection of Urban soft targets and urban critical infrastructures” (H2020-SMEINST-1-2014, 2014)
Start date: 2014-10-01
End date: 2015-02-28
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The gas grid monitoring systems cannot reliably estimate incident risks nor detect and isolate faults. At best, there are automatic solutions to avoid abrupt incidents. Incipient as well as intermittent fault detection and isolation still occurs randomly. Also, more than 50% of Europe’s ageing infrastructure has been built before 1983, while gas consumption continues to grow. Regarding safety, although the standards and regulations enable to mostly avoid abrupt failures, the current maintenance requirements incur excessive costs for gas grid operators. E.g. in Germany, grid leakages are controlled by expensive airborne LIDAR monitoring systems. This is especially problematic in urban environments, in which most of the consumers are situated- without viable alternatives, grid operators must accept the cost. Nevertheless, recent advancements in remote measurement technologies enable to develop substantially more effective grid monitoring solutions. For example, THE Systems and its team has already proven the viability of networked accelerometers for continuous grid monitoring tasks (THE Systems has tested the solution in an industrial environment in Finland). As a result of this project, THE Systems will combine state of the art accelerometers with advanced signal processing based on computationally efficient algorithms. The uniqueness for urban settings stems from the nodes’ highly effective dampening features and the algorithm’s non-parametric, multivariate, and non-linear characteristics that operate despite high rates of random noise. Thus, it will be possible for grid operators to continuously detect and isolate faults in urban gas networks in an economically feasible manner. The broader impact will be an increase in urban gas grid safety, and at least a 50% reduction in respective grid maintenance costs. For THE Systems, TM Field Analyzer could generate up to 70 mEUR by year 5 after the product launch, and increase the number of staff by at least 70 employees.

Keywords: urban gas pipeline monitoring,advanced signal processing,advanced intelligent algorithms,efficient entropy estimation,information theory,wireless sensor networks,data stream mining
Rational design of combined PDT photosensitizers and chemotherapeutic agent as new approach in cancer therapy: a computational approach (COMBPDCHEMOTHERAPY)

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: Chemistry
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-07-01
End date: 2017-06-30
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 2
Project status: CLOSED

The present proposal aims to enhance the competences, the scientific and innovative potential of the experienced researcher in the field of the emerging non-invasive treatment of a variety of cancer tumour types called photodynamic therapy (PDT). This approach induces tumour cells necrosis and/or apoptosis by a combination of a photosensitising drug (PS) capable of absorbing within the body’s therapeutic window (620–850 nm), a light source (e.g.,a laser) of an appropriate wavelength and molecular oxygen. To further advance the novel PDT treatment, the design, synthesis and characterisation of new photosensitizers with improved efficiency and side effect profiles is needed, together with a more thorough and integrated understanding of the multitude of targets/actions so far ascribed to PDT. In this field, the information that can be gained from modern theoretical methods is very useful, since several crucial chemical and physical properties of candidate photosensitizers can be accurately predicted from first principles by various computational techniques, contributing to increase the understanding of the entire photochemical pathways involved. The “a priori” knowledge of a series of properties can be considered a basic requirement before proceeding to the synthesis, chemical-physical characterisation and in vitro and in vivo tests, thus orienting experimental planning and avoiding expensive and time-consuming experiments. The project attempts to investigate members of a novel and very interesting class of bioactive molecules of interest as anti-cancer agents, consisting of a light-absorber chromophore (PS) and a cisplatin-like unit. The two-component conjugates combine the cytostatic activity of the platinum moiety in the dark, and upon irradiation, the photodynamic action of the sensitizer. Such systems could address the restrictions of Pt-based complexes and provide a target for PDT agents, while maintaining efficient DNA binding and photocleaving properties.

Keywords: photodynamic therapy,anticancer drugs,cisplatin like compounds
INNOWAY Key Account Manager and Innovation Specialists Services - NORIMS (NORIMS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Norway
Call: INNOSUP (H2020-Adhoc-2014-20, 2015)
Start date: 2015-10-01
End date: 2016-12-31
Duration (months): 15.0
Total project cost (EUR): 258916.25
EU funding (EUR): 258916.25
Participants: 1
Project status: CLOSED

Proposal to establishing services enhancing the innovation management capacity of SMEs in the Enterprise Europe Network - Business Cooperation Centre in Norway- INNOWAY Key Account Manager and Innovation Specialists Services - NORIMS The specific objectives for the NORIMS project is to enhance the innovation management capacity of SMEs by reducing barriers to innovation and to ensure that more great ideas will reach the market. The two distinct types of services; a) Key account management under the SME Instrument in Horizon 2020 and b) Services to enhance the innovation management capacity of SMEs will be offered as an integrated part of the general support services of the Enterprise Europe Network Business Cooperation Centre (BCC) in Norway in the period of 2015-2016*. The proposal consists of two work packages: • WP1 Implementation of Key Account Management (KAM) services for the beneficiaries of the SME instrument. • WP2 Implementation of Innovation Management Capacity Building services.

Keywords: innovation management capacity,key account manger,innovation specialist,enterprise europe network,business cooperation centre
GalileO-based trustEd Applications for health and SustainabilitY (GOEASY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Innovation actions
Countries involved: Spain,Italy,Germany,Italy,Sweden
Call: EGNSS mass market applications (H2020-GALILEO-GSA-2017-1, 2017)
Start date: 2017-12-01
End date: 2021-05-31
Duration (months): 42.0
Total project cost (EUR): 2950188.04
EU funding (EUR): 2507323.75
Participants: 7
Project status: SIGNED

GNSS user technology is now widely available in mass market devices including personal devices, connected vehicles, Internet of Things (IoT) objects, etc. The widespread availability of GNSS receivers, joint with ubiquitous communication capabilities of devices and the ability of cloud-based ICT platforms to federate with each other through open standards and APIs, is enabling a new generation of Location Based Services (LBS) able to support highly-scalable pervasive applications where large number of geographically-distributed users are engaged e.g. in immersive games and commercial services. While GNSS proves to be able to support such applications successfully, a major drawback prevents such approach to be used in more serious (and potentially highly rewarding) mass market applications i.e. the lack of authentication features, resulting in high difficulties in preventing users from spoofing position information to gain advantages or damage other users. GOEASY will leverage unique Galileo features such as increased trust and improved availability, joint with interoperability with existing Internet of Things (IoT) infrastructures to enable more secure and privacy-savvy mass-market applications of LBS. GOESY will be evaluated by means of two concrete use cases, namely the ApesMobility and the AsthmaWatch, both evaluated engaging real users in a medium-scale pilot in Torino (Italy) and Stockholm (Sweden).

Keywords: trust,e security,smart city,mobility
Random Models in Arithmetic and Spectral Theory (RMAST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Israel
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2019-02-01
End date: 2025-01-31
Duration (months): 72.0
Total project cost (EUR): 1840625.0
EU funding (EUR): 1840625.0
Participants: 1
Project status: SIGNED

The proposal studies deterministic problems in the spectral theory of the Laplacian and in analytic number theory by using random models. I propose two projects in spectral theory on this theme, both with a strong arithmetic ingredient, the first about minimal gaps between the eigenvalues of the Laplacian, where I seek a fit with the corresponding quantities for the various conjectured universality classes (Poisson/GUE/GOE), and the second about curvature measures of nodal lines of eigenfunctions of the Laplacian, where I seek to determine the size of the curvature measures for the large eigenvalue limit. The third project originates in analytic number theory, on angular distribution of prime ideals in number fields, function field analogues and connections with Random Matrix Theory, where I raise new conjectures and problems on a very classical subject, and aim to resolve them at least in the function field setting.

Keywords: eigenvalues of the laplacian,quantum chaos,analytic number theory,diophantine approximation,random matrix theory,nodal lines,random waves,function fields,equidstribution
deTeRmine the trUe dEpth of DeEp subduction from PiezobaromeTry on Host –inclusions Systems (TRUE DEPTHS)

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: Italy
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-06-01
End date: 2022-05-31
Duration (months): 60.0
Total project cost (EUR): 1697500.0
EU funding (EUR): 1697500.0
Participants: 1
Project status: CLOSED

Subduction of one tectonic plate below another is the primary cause of catastrophic geological events such as earthquakes and explosive volcanism that directly impact thousands of kilometers of coastal and mountain areas located on convergent margins. Real-time geophysical or seismic data only provide static snapshots of these subduction zones today. Therefore, quantitative understanding of the rates and true depths of subduction can only be achieved by determining the pressure-temperature-time-depth histories of Ultra-High-Pressure Metamorphic (UHPM) rocks that have been subducted to pressures greater than 3 GPa and subsequently exhumed. Conventional mineral thermo-barometry is severely challenged in UHPM terraines and thus the mechanisms attending the downwards transport of crustal material, and its return back to the Earth’s surface (exhumation), are still a matter of vigorous debate. The TRUE DEPTHS project will develop X-ray diffraction analysis of the anisotropic elastic interactions of inclusion minerals trapped inside host minerals. I will develop non-linear elasticity theory to provide a method that will be uniquely able to determine whether significant deviatoric stresses are recorded by UHPM rocks. By applying this method to samples from carefully selected field areas, I will be able to determine if metamorphic phase equilibria represent the true depths of UHPM, in which case subduction to depths in excess of 90 km must occur. Alternatively, quantitative measurements of large deviatoric stresses could indicate that tectonic over-pressure can account for the observed phase equilibria, thus not requiring deep subduction. If overpressurized domains are present in tectonically thickened lithosphere, they may represent a driving force for stress release leading to earthquakes. The results will provide new constraints on earthquake triggering mechanisms and how the styles of subduction and its detailed mechanisms have evolved over Earth’s history.

Keywords: elasticity,mineralogy,ultra high pressure metamorphic rocks,deep subduction
Highly linear efficient technology for wireless data transmission for 4G, 5G, wifi and beyond (Hilet)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Germany
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-08-01
End date: 2016-12-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The aim of this project is to bring a disrupting and patented data transmission technology named Hilet (highly linear and efficient technology) to the global market of wifi-chipsets. Hilet consists of a novel and patented transmitter architecture and highly efficient power amplifiers. It beats existing solutions by far reaching high values on the most important performance scales like energy efficiency and bandwidth. It can triple energy efficiencies to 30% without sacrificing signal quality or increasing manufacturing costs. Hilet will be licensed to leading market players. Innsystec has already completed one pilot study with the leading wifi-chipset vendor Broadcom and is about to complete another one with the leading semiconductor company Samsung. Samsung named Hilet one of the most promising future data transmission technologies for its own products. The relevant wifi-radio component and power amplifier market is 11 billion euros in size in 2018. Innsystec is targeting revenues of 30 million euros in 2020. One of Hilet’s big advantages is that it can be flexibly adapted to all other high frequency signals like 4G or 5G. It can then be applied to all types of devices such as smartphones, laptops or wireless base stations. This will give Innsystec enormous room for revenue growth. Additionally Hilet can reduce the use of energy and CO2 emissions. The objectives of phase 1 in tight contact with technical and business development teams of nine potential customers are: (1) Present technology to potential customers and learn from them to set future technology improvement goals, (2) Complete the business plan and detail the business model. At the end of the innovation project (phase 2), Hilet is ready for system integration: It can be used by wifi-chipset vendors to improve the performance of its transmitters and power amplifiers significantly. It boosts Europe’s position by putting Hilet at the heart of a business which was assumed to be already lost for Europe.

Keywords: wireless data transmission,wifi,energy efficiency
adaptive model-based Control for laser-assisted Fibre-reinforced tape winding (ambliFibre)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Italy,Italy,Germany,Czechia,Netherlands,United Kingdom,Denmark,United Kingdom
Call: Integrated design and management of production machinery and processes (H2020-FoF-2015, 2015)
Start date: 2015-09-01
End date: 2018-08-31
Duration (months): 36.0
Total project cost (EUR): 4735941.25
EU funding (EUR): 4735941.25
Participants: 12
Project status: CLOSED

ambliFibre will develop and validate the first intelligent model-based controlled laser-assisted tape winding system for fibre-reinforced thermoplastic (FRP) components. This system will include optical non-contact monitoring and innovative Human-Machine-Interfaces, which are easily manageable for the worker. Based on thermal and optical models embedded into integral process simulation tools combined with novel machine and laser technologies, for the first time a tape winding system will be realised which is able not only to drastically reduce the occurring waste, but also predict potentially arising failure in order to reduce machine downtimes. Statistical reliability and maintenance models for detection of critical elements and definition of their reliability will also prevent sudden machine breakdowns and allow defining the most cost-efficient maintenance schedule. Thus ambliFibre will be a major breakthrough for the continuous and discontinuous production of neuralgic tape-winded tubular composite components, such as gas tanks for automotive application, pressure vessel housings for the desalination of sea water or composite ultra-deep-water risers which are all affected by rapidly changing product requirements concerning both, material and design. With respect to changing and challenging environmental influences, quick adaptability, failure-free quality and safe operation over the complete life-cycle are mandatory. The successful application of the ambliFibre results will dramatically accelerate the replacement of metal components in these domains, reducing the carbon footprint thanks to the low weight and long life cycle of FRP components and provide new opportunities for European manufacturers in global, high-value multi-billion € markets. ambliFibre is conceived as a small collaborative project lasting 36 months and will be submitted to the call FoF 14 – 2015: Integrated design and management of production machinery and processes.

Keywords: thermoplastic tape winding,tape winding process simulation model,active thermography,laser,monitoring,randm models,active optics,sensors,knowledge based process
Direct numerical simulations towards ultimate turbulence (UltimateRB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 1499375.0
EU funding (EUR): 1499375.0
Participants: 1
Project status: SIGNED

Turbulent thermal convection plays an important role in a wide range of natural and industrial settings, from astrophysical and geophysical flows to process engineering. The paradigmatic representation of thermal convection is Rayleigh-Bénard (RB) flow in which a layer of fluid is heated from below and cooled from above. A major challenge is to determine the scaling relation of the Nusselt number (Nu), i.e. the dimensionless heat transport, with the Rayleigh number (Ra), which is the dimensionless temperature difference between the two plates, expressed as Nu∼Ra^γ. Theory predicts that the scaling exponent γ increases for extremely strong driving when the boundary layers transition from laminar to turbulent. Understanding the transition to this so-called ‘ultimate’ regime is crucial since an extrapolation of results from lab-scale experiments and simulations to astro- and geophysical phenomena becomes meaningless when the transition to this ‘ultimate’ state is not understood. So far, there is no consensus among experimental efforts for obtaining the ‘ultimate’ regime. We propose using direct numerical simulations (DNS) to gain a better understanding of the transition towards the ‘ultimate’ regime. While obtaining ‘ultimate’ thermal convection in simulations has been elusive, new developments make this feasible now. The benefit of simulations is that they allow full access to the flow and temperature fields, while all boundary conditions are set exactly and independently. This allows us to test various physical effects at full dynamic similarity. To trigger the excitation of the ‘ultimate’ regime at lower Ra than in standard small aspect ratio cells, we want to study the effect of roughness, additional shear, and large domains in which a stronger flow can develop than in confined small aspect ratio cells that are traditionally considered. The addition of rotation will be studied to disentangle the complicated effect of rotation on high Ra number thermal convection.

Keywords: rayleigh benard convection,turbulence,fluid dynamics,heat transfer,direct numerical simulations,high performance computing