Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
NANOPARTICLE EMISSIONS FROM THE TRANSPORT SECTOR: HEALTH AND POLICY IMPACTS (nPETS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Italy,Spain,Spain,Italy,Finland,Greece,Sweden,Sweden,United Kingdom
Call: Understanding and mitigating the effects on public health of emerging non-regulated nanoparticle emissions issues and noise (H2020-MG-2020-TwoStages, 2020)
Start date: 2021-06-01
End date: 2024-11-30
Duration (months): 42.0
Total project cost (EUR): 5351989.0
EU funding (EUR): 5351989.0
Participants: 14
Project status: SIGNED

Air pollution in European cities is still threatening human health, even though EU emission directives have been sharpened over the last 25 years. Adverse health effects of airborne particles are strongly linked to their size. A major fraction of outdoor ultrafine particles is traffic generated from road, rail, air, and sea transportation. The story that nPETS aims to communicate is the life of the sub 100 nm emissions from its creation to its potential path to human beings and animals. The nPETS consortium aims to improve the knowledge of transport generated exhaust and non-exhaust nanoparticle emissions and their impacts on health and new public policies. It aims to monitor and sample with state-of-the-art particle instruments the sub 100 nm transport generated emissions from shipping, road, rail, and aviation both in field and controlled laboratory environments. Both aged and fresh aerosols will be considered, including primary and secondary volatile and non-volatile particles. Characterising the emissions will be done from shipping, road, rail, and aviation by linking their sizes, chemical compositions, and morphologies to its specific emission sources such as engines, brakes, clutches, and tyres to increase the understanding of the mechanisms behind adverse risks posed by different types and sources of the identified sub 100 nm particles. The effects of nanoparticles from various transport modes and fuels, as well as specific emission sources, will be compared with a focus on markers of relevance for carcinogenesis and inflammation. Living cells will be exposed to collected and real-world primary and aged aerosols as well as primary and aged aerosols generated in the laboratory. Furthermore, it also aims to evaluate the possible future impact of new policies in this area on public health and linking the impacts with specific emission sources. This should lead to an understanding and quantification of the risks posed by different types and sources.

Keywords: the npets consortium aims to improve the knowledge of transport generated exhaust and non exhaust nanoparticle emissions and their impacts on health and new public policies
AuThoring tooL for indoor Augmented and dimiNished realiTy experIenceS (ATLANTIS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Austria,Austria,Sweden,Greece
Call: Interactive Technologies (H2020-ICT-2019-3, 2019)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 1756768.75
EU funding (EUR): 1507200.63
Participants: 4
Project status: CLOSED

In many application areas (e.g. interior design, furniture retailing or renovation), communication with a customer or future user during the planning and design phase is crucial to select the right products and configurations. Making this communication process effective saves costs, avoids later modifications, and results in providing tailored solutions and higher customer satisfaction. AR has the potential to make these communication processes highly effective and provide a better experience for the customer. However, this content needs to be created by experts from the respective domains, who often lack IT and media skills, and shall provide a lightweight AR experience for the customer. Current AR authoring solutions are quite complex and require manually creating scenes or rely on objects prepared with even more complex applications (e.g. CAD). ATLANTIS will fill this gap in authoring AR experiences by creating a faithful textured geometric (3D) representation from images of the real scene and identifying and segmenting objects in the scene and associating them with the 3D representation. The ATLANTIS authoring tool will enable the fusion of 3D CG elements with real scenes in a guided manner using artificial intelligence (AI) to facilitate more productive and effective content creation. This allows automatic alignment of inserted objects and automated layout generation, enabling the user to interact with different options without the need to manually author each of them. In addition, ATLANTIS will innovate beyond traditional AR authoring by complementing its traditional AR authoring capacity with Diminished Reality (DR) authoring capabilities, enabling the removal and replacement of real objects in the scene allowing to visualise also heavy changes to an environment. The innovations of ATLANTIS will be integrated in an existing solution for interior design and retailing, and validated with professionals and customers.

Keywords: scene capture,augmented reality,diminished reality,3d reconstruction,natural interaction
Looking Through Disorder (LODIS)

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: Physics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Photonic structures are extremely widespread in nature, and studying how light interacts with them is important. This contributes to understanding of the structures’ biological significance and also supports development of novel, bio-inspired optical materials. Natural photonic structures are, however, generally very challenging to model when one refuses to approximate their optical response to the one of simple periodic materials. The complications in describing light-matter interaction in such systems are introduced by the fact that natural structures are highly hierarchical (with features spread on different length-scales) and generally affected by disorder. With this proposal, we want to address these challenges by developing novel analysis tools, which will be used to increase understanding of disordered photonic structures. In particular, we will develop tools for two systems: One system is the striations found on a range of flower petals, which create iridescence due to their grating-like organisation. The other system is that of the helicoidal multilayer structure found in Pollia condensata fruit. This gives rise to a colour-selective, characteristic appearance, impossible to obtain using only pigmentation. The scientific goal of developing novel analysis tools for complex and disordered photonic structures is important in biology. Moreover, such tools will find application in the development of novel photonic structures, and they are relevant not only for natural photonics materials, but more in general, for self-assembled systems where disorder and hierarchical structuring are an inherent part of the fabrication process.

Keywords: disordered photonics,biomimetics,plant photonics,numerical methods
Autonomous Soft Robots Without Electronics (ANSWER)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,New Zealand
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-01
End date: 2018-08-31
Duration (months): 27.0
Total project cost (EUR): 176115.15
EU funding (EUR): 176115.15
Participants: 2
Project status: CLOSED

Conventional robots usually consist of heavy rigid components, such as engines, gearboxes and rigid linkages that are made of high-density materials. Although they can perform complex movements and processes, they are typically not able to perform movements similar to those of biological models. Dielectric elastomer actuators (DEAs) allow flexible mechanisms to behave as artificial muscles. They typically consist of mechanically pre-strained elastomer membranes and compliant electrodes. They are lightweight and can produce impressive muscle-like strains. DEAs are capable of mimicking the well-established antagonistic principle found in nature. To control dielectric elastomer actuators, complex, expensive and external electronic control units are generally required, which often makes the practical application of DEA complicated and rather attractive of commercial products. However, dielectric elastomers can also act as sensors and piezoresistive switches (Dielectric elastomer switches - DESs), enabling the integration of monitoring and control functions in compliant components themselves. During the proposed project at the Biomimetics Laboratory at the University of Auckland and the TU Dresden, dielectric elastomer components will be used in complex soft robotic systems. The aim of the proposed project is to integrate sensing, signal processing and actuation by the use of only flexible dielectric elastomer components in soft robotic structures without using conventional electronics. Based on the current knowledge of the DESs at the Biomimetics Laboratory, sensor-actuator systems comprising dielectric elastomer (DE) sensors, actuators and logic switches will be designed, to monitor, evaluate and react to certain environmental conditions. The developed laboratory scale processes will be transferred to modern production technologies at the Solid State Electronics Laboratory in Dresden in cooperation with the Werner-Hartmann-Zentrum for technologies of electronics.

Keywords: robotics,smart materials,artificial muscles,dielectric elastomers,electro active polymers,adaptive structures,high voltage logics,high voltage signal generation
The Tool Supporting (r)Evolution In Forecasting and Optimizing Power Distribution Networks (ElGrid)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Poland
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-10-01
End date: 2017-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Operators of energy distribution systems (DSOs) are now facing several challenges related to projected growth of population of electric vehicles (EVs), abundance renewable energy source (RES), presence of distributed generation & co-generation, growing number of prosumers, and the advent of residential energy storage. Responding to these fundamental changes in the energy distribution model at Globema Sp. z o. o. (http://ww.globema.com), we developed the first comprehensive IT tool that can assist of DSOs in forecasting short, mid and long-term energy demand and generation in time and space domains as well as in optimizing their investment decisions. The tool was designed and engineered exploiting our experience in developing IT tools for the utility sector. It also exploits our understanding of expectations of the energy sector especially in the distribution area. The tool does not only allow help plan the network reflecting the contemporary challenges but allows for decreasing distribution loss by 9-10% in the MV and LV parts of the contemporary distribution network. Although our solution reached the pilot stage, our development is not yet completed. We need to enhancing its user interface to be more user friendly, integrating it with GIS systems and SCADA systems in order to make it more robust, versatile and easier to operate. ElGrid is of strategic importance to our company as it helps modify and extend our tool in which we have invested already 300 man months as well as to establish technological leadership in the new market segment. In order to achieve this, we are applying for SME Instrument Phase 1 funds to: (i) elaborate an exhaustive technical feasibility study focused on extending and completing our tool; (ii) develop a detailed business plan to clarify how best we can commercialise ElGrid addressing various markets requirements and specifics of new markets.

Keywords: demand and generation forecasting,time and spatial domain,distribution network optimization,smart grid,decarbonisation,renewable energy sources,network planning,energy losses,energy savings
Cultural Heritage Analysis for New GEnerations (CHANGE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Austria,Germany,Cyprus,Switzerland,Norway,Poland,Switzerland,Norway,Norway,France,France,France,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-05-01
End date: 2023-04-30
Duration (months): 48.0
Total project cost (EUR): 4068821.16
EU funding (EUR): 4068821.16
Participants: 18
Project status: SIGNED

Cultural heritage (CH) objects have been constantly undergoing changes/degradations over time. In order to pass the legacy of these objects to future generations, it is important to monitor, estimate and understand these changes as accurately as possible. These investigations will support the conservators to plan necessary treatments in advance or to slow down the specific deterioration processes. The dynamic characteristics of materials vary from one object to another and are influenced by several factors. To detect and predict their changes, accurate documentation and analysis are necessary. Over the years, CH digitization using scientific imaging techniques has become more widespread and has created a massive amount of datasets of different forms in 2D and 3D. Several past projects focused on different aspects of technological developments for better digitization methods. There has been less focus on the processing and analysis of these datasets to make the greatest use of them and to their further exploration for monitoring ‘changes’ in CH artefacts for conservation purposes. The lack of adequate digital tools for monitoring these changes is related to material behavior and stability, which still need to be addressed. The proposed project will take cultural heritage digitization to a new level by exploring digital datasets for deeper analysis and interpretation. The main idea is to develop methodologies for the assessment of changes in CH objects by comparing and combining digital datasets captured at different time periods. The validity of the methods has to be evaluated through case studies conducted in collaboration with CH experts and stakeholders. The project is an interdisciplinary approach combining expertise on imaging techniques, computing, CH, and conservation science.

Keywords: cultural heritage,photonics,lasers,imaging,spectroscopic and spectrometric techniques
Intensified Process for CAPturing CO2 (CapCO2)

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: 2018-10-01
End date: 2019-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Today, around 35 Gtons/year of carbon dioxide are emitted worldwide from industrial plants in a large number of sectors such as coal-fired power stations, chemical refineries, waste-to-energy plants, cement production, iron plants, steel plants and off-shore platforms. Although the efforts of industry and public entities to support the development of efficient solutions able to capture CO2 and avoid its emission to the atmosphere, thus mitigating the greenhouse effect, currently the Carbon Capture technologies cost is unsustainable: the first Carbon Capture and Storage (CCS) projects cost > 70 € per tonne of carbon dioxide captured, a value higher than the European carbon tax (< 15 €/tons, expected to reach 45 €/tons in 2021), making the CCS economically inconvenient. Carbon Clean Solutions Ltd. has developed a CO2 capture process, called CapCO2 and characterized by two disruptive innovations: 1) the intensified CO2 capture solvent, called CDRMax, with a reduced water content and a higher stability in respect to the industry benchmark solvent MEA; 2) the CO2 absorber and solvent stripper configuration using Rotary Packed Bed (RPB) technology, which reduces the units size of a factor > 9. CapCO2 solution is able to drastically reduce the carbon capture cost up to 20 €/tons (60-78% lower than conventional solutions), making sustainable the installation of CO2 removal units in industrial sector. CCSL solvents are already active market products (applied in 25 anaerobic digestion plants in Germany for biogas upgrading) while the RPB technology has been validated by a first prototype. Now, CCSL aims to develop an integrated Mobile Intensified Compact CO2 (CO2 MIC) capture unit, with a capacity of 10 tons CO2 captured per day: the CapCO2 mobile unit will allow the validation of CapCO2 technology in different operating fields, being helpful for understanding and establishing detailed techno-economic evaluations at various industrial flue gas sources.

Keywords: carbon capture technology,process intensification,chemical absorption
A Single Digital Market for Industrial Geospatial Data Assets (OpertusMundi)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Austria,Germany,Greece,Greece,Slovenia,Greece,France,Netherlands
Call: Supporting the emergence of data markets and the data economy (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2022-12-31
Duration (months): 36.0
Total project cost (EUR): 5761875.0
EU funding (EUR): 4715812.5
Participants: 10
Project status: CLOSED

OpertusMundi will deliver a trusted, secure, and highly scalable pan-European industrial geospatial data market, which will act as a single-point for the streamlined and trusted discovery, sharing, trading, remuneration, and use of proprietary and commercial geospatial data assets, guaranteeing low-cost and flexibility to accommodate the current and emerging needs of Data Economy stakeholders regardless of their size, domain, and expertise. Our goal is inspired by, and grounded on, the real-world landscape and industry-led challenges of the fragmented geospatial data value chain in the EU, the most valuable and foundational thematic area of proprietary data, aiming to deliver a critical missing component and enabler for EU’s Data Economy. The output of our work will go beyond the simple provision of an Industrial Data Platform, ensuring its sustainable and profitable operation after the end of the project.

Keywords: geospatial data,industrial data platforms,value added services,data economy
Analytical Uncertainty of Quantitative Methods Based on IR-spectroscopy for Heritage Material Characterisation (UNCERTIR)

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: Slovenia
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2023-09-30
Duration (months): 24.0
Total project cost (EUR): 162040.32
EU funding (EUR): 162040.32
Participants: 1
Project status: SIGNED

Non-destructive and non-invasive methods of characterisation of heritage materials are increasingly in demand. Recent applications of near- and mid-IR spectroscopy combined with chemometrics provided a step change in the quantitative determination of chemical and physical properties of many heritage materials of organic origin, including their dating. However, the uncertainty of determination could reduce the acceptance of such methods by users. Therefore, UNCERTIR focuses on the analyses of the causes of uncertainty, which could originate in (a) uncertainty of reference analytical data used for method development; (b) large inhomogeneity of material properties typically associated with heritage materials; (c) the contribution of degradation products and changes in heritage material manufacture; and (d) method of spectral data collection as deemed acceptable by the conservation community, often allowing only minimal contact between the probe and the analysed material. The project methodology will be based on numerical evaluation of the contributions to the overall method uncertainty by using separate sample sets of pure model materials and naturally degraded inhomogeneous materials; by comparing different reference analytical methods, e.g. for determination of pH or degree of polymerisation; by application of different methods of statistical evaluation of groups of samples; and by using different methods of collection of spectra. Of particular interest will be methods of dating heritage materials, where significantly different accuracies have been observed for paper, parchment or photographs, the cause of which remains unknown. The project will be of significant importance to heritage and users not only because of the variety of newly developed methods but also because, for the first time, the users will be provided with a comprehensive evaluation of analytical uncertainty.

Keywords: heritage science,infrared spectroscopy,chemometrics,uncertainty,heritage materials