Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Scalable DSP algorithms for high performance hardware applied to 5G MaMi systems (SAPHIR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2020-05-31
Duration (months): 24.0
Total project cost (EUR): 178156.8
EU funding (EUR): 178156.8
Participants: 1
Project status: CLOSED

There is persistent demand for radical advancements in telecommunication systems. The digital baseband processing unit (or Digital Signal Processor – DSP) is of paramount importance for the overall performance and it consumes a significant part of the total power. Breakthroughs in terms of accuracy, speed and efficiency are required in custom DSP implementations. To this end we propose to employ ideas that lead to advances in quantum algorithms for scientific computing to obtain silicon integrated circuit implementations meeting the performance expectations. Our experience and the similarities in the efficiency and accuracy requirements between such quantum algorithms and custom silicon-based integrated circuit design have not been exploited. This has a huge potential for obtaining high performance DSP cores in 5G MaMi systems. We propose to derive DSP algorithms and corresponding digital circuits with performance guarantees in terms of accuracy and speed. In some cases we will be deriving entirely new algorithms and circuits. In others we will investigate the degree to which the existing quantum algorithms for scientific computing can be used as a basis to derive efficient custom integrated circuits for DSP. To address the efficiency requirements and to control the error propagation we propose a modular approach. Algorithms will be composed by combining modules performing sub-tasks. Digital circuits with a priori known error and cost characteristics will be used to implement the different modules. This allows the comparison of the trade-offs between implementation alternatives and paves the way toward fully automatic overall resource optimization in DSP design. The proposed approach will provide a new and sound methodology to design and test custom integrated circuits for next generation communication systems (5G).

Keywords: 5g communication systems,digital ic design,quantum computing,re integration usa to eu
InnoManage BB 2017-2018 (InnoManage BB)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Germany,Germany,Germany
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 147887.5
EU funding (EUR): 147887.5
Participants: 3
Project status: CLOSED

Berlin Partner für Wirtschaft und Technologie GmbH (BP) and ZAB ZukunftsAgentur Brandenburg (ZAB), the two economic and technology development agencies of Berlin and Brandenburg, both partners in the Berlin-Brandenburg Enterprise Europe Network consortium EU-Netz BB are going to offer innovation management consultancy to SMEs with high potential for innovation, internationalization and growth. This service will allow the agencies to broaden their service portfolio to SMEs und to support existing programmes for research and innovation. While the latter usually concentrate on technologies and other outputs, InnoManage BB 2017-2018 will focus an internal management processes and capacities in the SME in order for them to successfully innovate. Target groups of InnoManage BB 2017-2018 are a) companies which have successfully applied for funding under the SME Instrument of H2020, and b) other SMEs in Berlin and Brandenburg which show the potential for innovation, internationalization and growth. As both BP and ZAB have been responsible for realizing the innovation strategies of their respective federal states since more than ten years, both agencies are fully familiar with the scope and challenges fading innovation-orientated companies.

Keywords: innovation,support,h2020,sme instrument
The first accurate, portable and easy-to-manage pulse oximeter located on the user´s mobile for the prevention and monitoring of COPD disease (i4case)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Chronic Obstructive pulmonary Disease (COPD) is the fourth leading cause of death globally. This disease is characterized by persistent respiratory symptoms and airflow limitation. To date, more than 210 millions people suffer COPD with crisis respiratory episodes (exacerbation), 1 to 3 times per year. The easiest way to prevent COPD exacerbations is measuring the oxygen level in blood. Therefore, COPD patients and their families or caregivers need devices for continuous monitoring of oxygen saturation. I4case solves these problems being an innovative smart solution integrated by a small and easy-to-manage pulse oximeter, as well as a smart data processing platform. I4case is located on the user´s mobile, goes with the patients everywhere, and is connected to the physicians who will have a 24h follow-up of their patients. I4case will reduce the 70% of the COPD respiratory crisis, achieving COPD direct and indirect costs savings of 40% (€58.4B just in Europe). Currently, i4life is following a B2C approach and is targeting the global pulse oximeter market, which is experienced a huge growing, reaching €2B by 2021 (CAGR 6.5%). i4life customers will be COPD patients, their families, and caregivers, focusing at the first stage in old people. More than €18M sales projection has been estimated for the third year of commercialization. I4life will expand after the achievement of CE Medical Device approval. Furthermore, with clinical partners such as SEPAR “Spanish society of pulmonology and thoracic surgery” or the University of Oviedo, i4life is equipped to start full-scale clinical studies.

Keywords: copd disease,pulse oximeter,exarcebation,oxygen saturation,respiratory crisis,big data,machine learning
Natural sense of vision through acoustics and haptics (Sound of Vision)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Iceland,Italy,Hungary,Poland,Romania,Romania,Poland
Call: Self management of health and disease: citizen engagement and mHealth (H2020-PHC-2014-single-stage, 2014)
Start date: 2015-01-01
End date: 2017-12-31
Duration (months): 36.0
Total project cost (EUR): 3960709.0
EU funding (EUR): 3960709.0
Participants: 9
Project status: CLOSED

Sound of Vision (Vision restoration through sound and haptics) will design, implement and validate an original non-invasive hardware and software system to assist visually impaired people by creating and conveying an auditory representation of the surrounding environment. This representation will be created, updated and delivered to a blind person continuously and in real time. This system will help visually impaired people in any kind of environment (indoor/outdoor), without the need for predefined tags/sensors located in the surroundings. The process of assisting visually impaired people proposed by Sound of Vision consists of a series of repetitive steps. The first step uses hardware and software for generating a 3D representation of the surrounding environment. In the second step, objects are identified within the 3D model and the information is then transformed into 3D sound and haptics sources. In the last step, all the 3D sound and haptics sources are combined and conveyed to the user, using specialized wearable hardware and algorithms. A functional prototype will be developed, followed by experimental validations and subsequent improvements, according to the feedback provided by visually impaired people, training specialists and neurologists. The product thus obtained will be sold as a hardware and software system, as well as some training courses that will help blind people use the system. The consortium has the necessary complementary competences to design and develop the proposed system, to test the prototype, establish training protocols and also to commercialize the system as an intuitive and accessible final product. Sound of Vision is a concept that goes beyond the state of the art of the visual sensory substitution systems, having the potential to become an affordable commercial product that will actually help blind people. This system can have an impressive social impact, improving the lifestyle of blind people, and also of their families and friends, on which they would otherwise depend. Free keywords (updated): Visual impairments; brain-computer interface (BCI); Neuroplasticity; Psychophysics; audio/video processing; wearable assistive devices; sonification; sound localization; haptic space perception.

Keywords: visual impairments,brain computer interactions bci,neuroplasticity,audio,video processing,wearable assistive devices,sonification,sound localization,haptic space perception
PET Imaging in Drug Design and Development (PET3D)

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: Chemistry
Countries involved: Germany,Spain,Norway,Belgium,Sweden,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2016-06-01
End date: 2020-05-31
Duration (months): 48.0
Total project cost (EUR): 3912634.77
EU funding (EUR): 3901247.78
Participants: 10
Project status: CLOSED

The drug development strategy currently pursued by the pharmaceutical industry worldwide is inefficient and unsustainable for the health care system. To keep the latter affordable, drug development should become more efficient and drug treatment should become more “personalized” and “rationalized”. Molecular imaging can play a pivotal role in changing the landscape of drug design/development and improving the health care system. Positron Emission Tomography (PET) imaging, in particular, is the technology that has the potential to lead this fundamental innovation by providing at a much earlier stage reliable answers to key questions emerging during the care cycle: what and where is the disease? Is the disease accurately targeted by the therapy? Is the treatment effective? By answering the questions above, PET imaging has the capacity to render much more effectively the transition from pre-clinical to clinical phase, and to strongly facilitate the development of better drugs at an earlier stage and in a much more sustainable manner. The main obstacle to this change of paradigm in drug design and development is the lack of suitably trained translational scientists directly involved in PET imaging and imaging scientists with high-profile training in chemistry and PET-radiochemistry, which is particularly dramatic in Europe. This consortium is ideally suited to fill this gap, by providing top-quality training to the next generation of translational PET imaging scientists who will play a key role in shaping the future of drug design and development. The PET3D ETN will focus on 15 cutting-edge research projects in the 3 main therapeutic areas (oncology, cardiovascular, central nervous system) that will be conducted by 15 ESRs at 8 European beneficiary Institutions, 6 academic (all having a PET center on site) and 2 non-academic (one with a PET center on site and one big pharmaceutical company) representing the drug design and development terminus of the project.

Keywords: positron emission tomography molecular imaging
Plug-and-Play product and process innovation for Energy-efficient building deep renovation (P2Endure)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Innovation actions
Partnership:  (cPPP)
Countries involved: Germany,Italy,Germany,Italy,Italy,Germany,Italy,Poland,Poland,Poland,Netherlands,Netherlands,Netherlands,Netherlands,Denmark
Call: Supporting accelerated and cost-effective deep renovation of buildings through Public Private Partnership (EeB PPP) (H2020-EE-2016-PPP, 2016)
Start date: 2016-09-01
End date: 2021-02-28
Duration (months): 54.0
Total project cost (EUR): 5310875.34
EU funding (EUR): 3990834.75
Participants: 18
Project status: CLOSED

P2Endure aims to provide scalable, adaptable and ready-to-implement prefabricated Plug-and-Play (PnP) systems for deep renovation of building envelopes and technical systems. These innovative solutions will be used to transform non-functioning or sub-optimal public and historic buildings into dwellings, and applicable for the widest range of building typologies, i.e. public buildings, residential buildings, and transformation projects. The main innovation of P2Endure comprises PnP prefab systems enabled by 3D printing, laser and thermal scanning integrated with Building Information Model (BIM). The promoted solutions are SME-driven and geared to rapid and low-disturbance on-site assembly processes for deep renovation. P2Endure presents a proof-of-performance of the optimised PnP renovation techniques by implementing 10 large-scale and live demonstration projects that represent the main deep renovation typologies and real market demand in 4 EU geo-clusters. This will be done through progressive steps known as “4M: Mapping – Modelling – Making – Monitoring” throughout a 4-year project duration. These demonstration cases give evidence of the achieved 60% energy saving after deep renovation along with 15% cost saving and 50% time saving at renovation, and high indoor environmental quality. The P2Endure project leverage in total primary energy saved is: 19.121 GWh/y. Wider impacts on replication and market upscaling are guaranteed by a Technology Commercialization Platform (TCP). On this platform P2Endure builds up a critical mass of building owners and their projects, local authorities, supply-chain actors, including leading industrial players in prefab building and technical systems that provide the necessary vehicle for innovative SMEs to enlarge their EU and global market shares through P2Endure solutions.

Keywords: deep renovation,prefabricated components,plug and play,3d scanning,3d printing,building information model,indoor environment quality,building envelopes,ventilation systems,energy grid
Catching–Up along the Global Value Chain: models, determinants and policy implications in the era of the Fourth Industrial Revolution (CatChain)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Spain,Estonia,Italy,Italy,South Africa,Estonia,India,Italy,Greece,Malaysia,Korea, Republic of,France,Netherlands,Costa Rica,Brazil
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-05-01
End date: 2024-02-29
Duration (months): 70.0
Total project cost (EUR): 1894500.0
EU funding (EUR): 1683000.0
Participants: 15
Project status: SIGNED

Catching-Up along the global value chain: business models, determinants and policy implications in the era of the Fourth Industrial Revolution (CatChain) is a project built on a multidisciplinary and multi-sectorial exchange program focused on unravelling the process of Catching-Up from different sectorial perspectives at a country level. It analyses the role of business models (BMs) in entering, learning and upgrading the Global Value Chain (GVC), aiming at recognising the determinants and challenges faced by Small and Medium Enterprises (SMEs) in tackling the process of upgrading in a globalising economy. The outcome of the project will be the definition of policy tools and frameworks to support effective policy-making actions in the implementation of Research and Innovation Smart Specialization Strategy (RIS3), with respect to the new agenda of Europe 2020, mainly for low-income EU countries. The main aims of the project are: 1.to identify: if and how a country should focus on developing domestic trade networks and upgrading before entering into GVCs; whether it should improve its infrastructures in regional value chains implementing the RIS3 strategy for its economic transformation; 2.to study the emerging BMs underpinning the successful entry, learning, and upgrading in GVCs, after the investigation and valuation of case studies in different sectors and countries; 3.to isolate the conditions that define the preferable entry strategy; 4.to recognise the policy framework that facilitates entries and supports SMEs in developing a profitable business strategy. To give robust scientific answers to the question of whether entering GVCs by sponsoring one large national firm or a set of small and dynamic enterprises, CatChain intends to bridge the Catching-Up approach with the GVCs literature, paying attention to the role that entry, learning and upgrading strategies – integrated with BMs, play in fostering a process of country-level catching-up in distinct sectors.

Keywords: catching up,global value chains,sectoral systems of innovation,clusters,smart specialization strategy,value added analysis and mapping,business model innovations,policy transfer,public policy
HOLOgrams for personalised virtual coaching and motivation in an ageing population with BALANCE disorders (HOLOBALANCE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Greece,Switzerland,Serbia,Serbia,Greece,Netherlands,United Kingdom,United Kingdom
Call: Personalised coaching for well-being and care of people as they age (H2020-SC1-2017-CNECT-1, 2017)
Start date: 2017-12-01
End date: 2021-09-30
Duration (months): 46.0
Total project cost (EUR): 3999717.5
EU funding (EUR): 3999717.5
Participants: 13
Project status: CLOSED

The overall objective of HOLOBALANCE is to develop and validate a new personalized hologram coach platform for virtual coaching, motivation and empowerment of the ageing population with balance disorders. The coaching part will be realised by holograms and augmented reality games, along with easy to use sensors (smart bracelet, smart glasses, sensorized soles) that can be customized to implement and coach the user with specific, individualized exercises, offering new forms of accessible user interaction. HOLOBALANCE will engage the experts related to the management of people suffering from balance disorders, including physiotherapists, Ear Nose Throat experts (ENTs), neurologists, psychologists, gerontologists, towards developing a multi-stakeholder user centered coaching ecosystem. Suggestions for specific exercises and tasks and an activity plan will be provided by the experts in a daily basis, which will be then refined and updated through autonomous learning algorithms. Three different types of coaching will be provided by the HOLOBALANCE platform: (i) balance physiotherapy (BP), (ii) cognitive training (CT) combined with auditory tasks (iii) multilevel motivation and physical activity (PA) promotion. The platform will consist of a cloud based big data analytics component, with intelligent data mining algorithms, that will assess personalized heterogeneous data (motion capture sensor data, wearable sensor data, physiotherapy exercises movement data, clinical profiles), emotional and behavioural data (through emotional computing and behavioural modeling minimizing attention theft) and provide personalized advice, guidance and follow up for motivation, goal setting, BP, CT and PA. The accuracy in performance of the exercises will be measured objectively in real time, through a set of motion capture and wearable sensors. Experts will monitor the status through a visual analytics expert panel.

Keywords: holograms,augmented reality environments,games,balance physiotherapy,motivation,virtual coaching,accessible user interaction
Direct Detection of TeV--PeV Cosmic Rays in Space (PeVSPACE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1499097.0
EU funding (EUR): 1499097.0
Participants: 1
Project status: SIGNED

The DArk Matter Particle Explorer (DAMPE) mission has recently marked a new epoch in astroparticle physics, extending the direct measurements of cosmic ray spectra beyond a TeV with unprecedented energy resolution. With this project, based on my leadership position in DAMPE and its unique data, I propose to fundamentally improve the precision of direct cosmic ray measurements at the highest energies – in the TeV–PeV range, using for the first time a state-of-the-art artificial intelligence approach. The project will help to solve the century-long problem of cosmic-ray origin at such high energies and its effects on the Universe composition. It will study the cosmic-ray spectrum close to the region of a mysterious decline, so-called “knee”, and shed light on the nature of Dark Matter through the discovery of characteristic fine structures in cosmic-ray and gamma-ray spectra. To achieve this, based on my expertise I propose: i) to develop the TeV–PeV cosmic-ray track reconstruction and identification techniques, using a deep learning or similar artificial intelligence approach; ii) to set up a unique research programme to iteratively improve the precision of hadronic Monte-Carlo models in this rarely explored energy domain, based on the available DAMPE data and data from future experiments. The developed results will be applied to the processing of DAMPE data at the first stage, and will be then extended to the next generation High Energy Cosmic Radiation Detection (HERD) experiment. The research strategy is designed to reduce drastically the dominant uncertainties of the cosmic-ray measurements in space, related to the particle type/direction identification and modeling of hadronic interactions in the detector. As a result of the project, cosmic ray spectra will be directly measured in space in TeV–PeV energy range with qualitatively higher precision, opening up an unprecedented opportunities for new discoveries.

Keywords: tev pev cosmic rays,cosmic and gamma ray reconstruction and identification techniques,hadronic interactions at tev pev energies,dark matter searches in cosmic and gamma rays