Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Universal PlugPlay OEE Data Capture Equipment to improve the efficiency of industrial processes (Smart OEE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Spain
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-10-01
End date: 2019-03-31
Duration (months): 30.0
Total project cost (EUR): 1980675.0
EU funding (EUR): 1386472.5
Participants: 1
Project status: CLOSED

This project (called Smooth Reader in Phase 1) was approved on June 2015 as a SME Instrument Phase 1 with a total score of 13.95. After the execution of Phase 1, all the objectives have been achieved guaranteeing freedom to operate and commercial viability. We are now submitting this SME Instrument Phase 2 in order to lay the groundwork for the large-scale commercialization of the innovative range of Smart OEE products. The production lines of industrial companies are very heterogeneous, with machines from various brands, models, generations and technologies. Due to this heterogeneity, the bespoke solutions for data capture are very expensive and are difficult to implement. For this reason, the penetration of data capture solutions in companies is very low. We have developed some innovative universal equipment for automated Real-Time Data Capture on production lines, called Smart OEE. They are a true breakthrough due to its universal system of connection and for its ability to achieve a connection with the machines in a very brief time, practically making it a Plug and Play. It is a range of standard products that are easily configurable in situ by the client (DIY), or remotely via the web, which cover the requirements for data capture/collection of almost the totality of the machines on the market. The main innovations of the Smart OEE system include the following: Plug and Play. Breakthrough technology at cost level. Universal product, connectable to any production process. Include a portable kit to perform pilot tests. Modular and scalable system. The innovation is based on a self-developed algorithm, the result of three years of research, that is used to program the Smart OEE, and which allows it to communicate with any type of machine. Sistemas OEE makes the data capture systems for the improvement of productivity accessible for European SMEs, so these SMEs can incorporate progressively advanced production technologies.

Keywords: production lines,industrial companies,data capture,productivity,universal,configurable,connectivity,pilot,test,production losses,hardware,advanced control systems
Leverage research EXCELLence and INNOVation potential of Instituto de Medicina Molecular (IMM) through translational biomedical research in immunity and infection. (EXCELLtoINNOV)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: ERA chairs
Theme: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Portugal
Call: ERA Chairs (H2020-WIDESPREAD-2014-2, 2014)
Start date: 2015-07-01
End date: 2021-06-30
Duration (months): 72.0
Total project cost (EUR): 2777183.75
EU funding (EUR): 2499465.0
Participants: 1
Project status: CLOSED

EXCELLtoINNOV will provide IMM with the needed means to achieve excellence on a sustainable basis through the recruitment of an ERA Chair in translational biomedical research in immunity and infection. This goal will be strategically achieved by placing IMM in the forefront of Research, Development and Innovation (R&D+I) in immunity and infection, through the establishment of a translational biomedical research hub anchored in Lisbon that will: i. leverage the national potential beyond borders; ii. act as the interface of Europe with America and Africa; iii. and effectively contribute to overcome the health and demographic change societal challenges by potentiating major scientific advancements in this research area through worldwide collaborative efforts. The successful implementation of this strategy will be possible through specific activities, including: 1) the development of a new research field at IMM by the ERA Chair holder, pre-clinical molecular and imaging studies, that will transversally benefit and impact all research areas at IMM; 2) the implementation of structural changes at IMM to successfully support and comply with ERA priorities; 3) the expansion of overseas collaborations in international collaborative R&D+I projects; and 4) an improved integration of IMM in the regional, national and international business community. Through the completion of these activities we will achieve an improved capability to compete successfully for internationally competitive research funding, including but not limited to Horizon 2020, IMI2 and EDCTP2 as well as effectively contribute to the objectives of regional smart specialisation strategies through increased international attractiveness, competitiveness and innovation potential of IMM, Lisbon and Portugal.

Keywords: translational biomedical research hub,immunity and infection,pre clinical molecular and imaging studies,research excellence,innovation potential,era priorities,smart specialisation strategy
Boosting Innovation Management Capacity through EEN Services (INNOVEEN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Türkiye
Call: INNOSUP (H2020-Adhoc-2014-20, 2014)
Start date: 2014-05-01
End date: 2014-12-31
Duration (months): 8.0
Total project cost (EUR): 47500.0
EU funding (EUR): 38000.0
Participants: 1
Project status: CLOSED

The general objective of the project is to increase the SMEs’ innovation and innovation management capacity to enhance the regional innovation ecosystem in which they exist. In order to reach this objective the project will focus on two specific activities. The first specific objective is to act as a “Key Account Manager” to make sure that the beneficiaries of the SME Instrument in the region would face no difficulties and constraints during execution of their innovation project. The project aims to support these companies throughout Phase 1 and Phase 2 of the SME Instrument by diagnosing SME’s innovation management capacity to identify the obstructs that hinders the generation of economic impact and by addressing these challenges with the help of competent coaches in the related fields. The second specific objective is to strengthen the innovation management capacity of the SMEs with significant innovation activities but lack the knowledge, skills or ability to manage these activities. The aim in this action is to make SMEs to reach their potential by providing better management of the innovation processes. As a result of the services provided in this scheme, the project also aims to increase the level of participation in European support to research and innovation of the SMEs in the region. According to the data obtained from the Scientific and Technological Research Council of Turkey (TUBITAK) there are around 150 SMEs in the region with an adequate innovation capacity and has submitted at least one proposal to international R&D calls. Considering the available human resources and the time constraints (8.5 months, 3 people) project aims to provide 39 service packages in the context of innovation support and the Key Account Management activities.

Keywords: innovation management capacity,assessment tool,technology audit,sme instrument,key account manager
Developing the Next Generation Framework for Testing Nonlinear Dynamic Structures. (TNS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

When designing new structures and devices, engineers are completely dependent on mathematical models to ensure that their designs function as intended. As technological boundaries are pushed to the limits, systems become nonlinear – the response of the system is no longer proportional to the input. These nonlinear systems can exhibit a wide range of complicated behaviour that is very difficult to predict and potentially disastrous. Take for example the F-117A Night Hawk stealth jet. Despite extensive modelling and design work, at an airshow in 1997 in Maryland, Essex, USA, it encountered a disastrous instability known as flutter. The aircraft was lost. Until now there has been no general-purpose systematic method that can directly measure and characterise nonlinear dynamic behaviour during laboratory tests; hence it is extremely challenging to incorporate nonlinear features into the model development and validation process. Control-based continuation (CBC) is a systematic method designed to fill this void in the nonlinear test and measurement field. Thought the method has already been demonstrated on several simple mechanical systems, it is still in its infancy and lacks robustness. The specific objectives of the research proposed here are to develop and incorporate in CBC effective and noise-robust algorithms and control strategies, hence leading to a solid and more general framework for testing nonlinear dynamic systems. The method will be demonstrated experimentally including on an aeroelastic rig that exhibits potentially dangerous flutter-induced limit cycle oscillations in a wind-tunnel.

Keywords: nonlinear dynamics,vibration,testing,continuation techniques
new generation of High thErmAl efficiency componenTs PACKages for space (HEATPACK)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Research and Innovation actions
Countries involved: Spain,Austria,Poland,Switzerland,Greece,France,France,United Kingdom,United Kingdom
Call: Technologies for European non-dependence and competitiveness (H2020-SPACE-2018, 2018)
Start date: 2019-01-01
End date: 2023-03-31
Duration (months): 51.0
Total project cost (EUR): 2941298.75
EU funding (EUR): 2941298.75
Participants: 9
Project status: SIGNED

HEATPACK project aims to develop and validate critical technology building blocks for enabling transformative packages for space applications with very low thermal resistance. This is to fully exploit the potential of wide-bandgap technologies which are now being considered as critical in numerous sectors and for space applications in particular, as enhanced thermal management solutions beyond state-of-the-art need to be provided. Benefits will range from improved performance to increased components reliability and lifetime. HEATPACK concepts for achieving high power / high thermal efficiency packages include: - Diamond based composite materials with a thermal conductivity >600W/m.K to be used as baseplate or insert - Silver sintering based Thermal Interface Material (TIM) for components assembly - TIM for package to structure assembly with both electrical and thermal enhanced properties (in excess of 10W/m.K) - Innovative cooling solutions with strategic implementation possibilities (baseplate, lid, structure…). Using these technologies, two different modules implementing Gallium Nitride (GaN) components will be developed: -A power supply switching module based on a multilayer ceramic substrate -A Ka-band High Power Amplifier based on a surface mount hermetic micro package. The main applications targeted are satellite’s output power section for telecommunication missions in particular, as well as power conditioning / power supply units concerning all satellite payload’s equipment consisting of high power supplies. To secure a fully European supply chain for high power components thermal management, the technologies developed will reach a TRL of 6, demonstrating commercial viable solutions providing reliability levels compliant with space environments.

Keywords: navigation sub systems,high power,high thermal efficiency packages,gallium nitride,analog,digital payloads,solid state power amplifier,digital transparent processor,thermal management
Integrable Partial Differential Equations: Geometry, Asymptotics, and Numerics. (IPaDEGAN)

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: Mathematics
Countries involved: Italy,Italy,China,New Zealand,France,France,United States,Canada
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 886500.0
EU funding (EUR): 540000.0
Participants: 11
Project status: SIGNED

Partial Differential Equations (PDE's) undoubtedly are among the main tools for an efficient modelling of physical phenomena. Infinite-dimensional analogues of regular (integrable) behaviour, previously confined to the theory of systems with a finite number of degrees of freedom began to be considered in the middle of the XX century in fluid dynamics, field theory and plasma physics. The idea that an integrable behaviour persists in non-integrable systems, together with the combination of the state-of-the-art numerical methods with front-line geometrical and analytical techniques in the theory of Hamiltonian PDE's is the leitmotiv of this research project. Asymptotic regimes leading to phase transitions both in the theory of dispersive PDEs and the theory of Random Matrices display universality properties which can be analysed both numerically and analytically. The predictive power of numerics and scientific computing can be used both as a testing tool for theoretical models and as a generator of new conjectures. By focussing the expertise of front line researchers in different areas of Mathematics towards the study of critical phenomena in dispersive PDE's, we expect results in realms including differential and algebraic geometry, the theory of random matrices, multiscale analysis of PDE's as well as non-linear models of stratified fluid flows. The broad interdisciplinary basis and intertwining of methods of Geometry and Mathematical Physics will be instrumental in making the results accessible for the wider community. Younger (Ph.D. and/or Post-Docs) Researchers to be included in such an active and fertile research and training ground, will certainly seize their chance to enhance and broaden their skills.

Keywords: integrable systems,random matrices,painlev equations
Time Encoded Voice Interfaces (TEVI)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria,Spain
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2020-11-01
End date: 2025-04-30
Duration (months): 54.0
Total project cost (EUR): 752714.64
EU funding (EUR): 752714.64
Participants: 2
Project status: SIGNED

The research of this EID focuses on ultra-low power sensors incorporating artificial intelligence. The current solution for such systems requires an analog-to-digital converter (ADC) prior to the signal processing block, usually implemented with a neural network (NN). The innovation consists of removing the ADC prior to the NN by directly coupling the sensor to it and encoding the sensor signals with a voltage-controlled-oscillator (VCO). VCO-based ADCs have been used to implement integrated sensors. Achieving this goal requires to develop a new multiply-accumulate cell (MAC) for the first layer of the NN that operates with signals from the VCO, and a suitable VCO interfaces with existing sensors. In most applications, the raw data form the sensor is required as well. Here, signals coming from the VCO can also be converted to a sampled sequence by enabling a digital decoder, which is not needed when detecting a pattern in the NN. As a benefit, power consumption can meet the requirements of battery-operated products. Power improvement comes from both the ADC removal and the power efficiency of the NN implementation. Approaches to implement a sensor interface using a VCO and to implement a phase/frequency-encoded MAC unit (P-MAC) for a NN have been attempted separately but, there is no combination of both ideas. The research in this EID tries to bridge this gap. This architecture can be useful for both research and industrial applications, such as neural probe chips, wearable electronics or battery powered IoT devices. This EID proposal requires intersectoral involvement of both academia and the industry, to develop a doctoral program and train researchers that will be in high demand by having the specific skills developed in this research. We have selected waterproof smart microphones as an application to benefit from this research, which may directly lead to a product development of interest to microelectronic industries in the EU producing MEMS microphones.

Keywords: vco based adc,time encoding,mixed mode microelectronics,mems microphones,deep learning accelerator
Detecting Document frauD and iDentity on the fly (D4FLY)

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,Germany,Germany,Ireland,Germany,Norway,Poland,Switzerland,Greece,Greece,Lithuania,Finland,Greece,Latvia,Netherlands,United Kingdom,United Kingdom
Call: Technologies to enhance border and external security (H2020-SU-SEC-2018, 2018)
Start date: 2019-09-01
End date: 2022-08-31
Duration (months): 36.0
Total project cost (EUR): 6984727.5
EU funding (EUR): 6984727.5
Participants: 21
Project status: CLOSED

The D4FLY project will augment the current capabilities and capacities of border authorities in countering emerging threats in document and identity verification (e.g., forged documents, impostor fraud, morphed faces) at manual and highly automated border control points and in the issuance process of genuine documents. The confluence of D4FLY set of tools and systems will improve the quality of verification and reduce major time sinks in the processes thus enabling real on-the-move border crossing experience for travelers. Novel sensor hardware based on advanced lightfield cameras and novel algorithms developed in the project will enhance verification accuracy and robustness via the combined usage of 2D+thermal face, 3D face, iris and somatotype biometrics. Analytical means to identify known criminals based on somatotype and 3D face data generated from mugshots and observation data will be developed. Various operational needs of end-users with different threat landscapes constitute the backbone of D4FLY development efforts. D4FLY will create a resilient document verification system that can verify a multitude of physical and electronic security features (e.g. Kinegrams®, MLIs, CLIs), detect complex forms of electronic fraud and advanced morphing, and identify fraud in breeder documents. The potential benefit of blockchain technology in identity verification will also be investigated. The D4FLY solution will consist of a border control kiosk geared with enhanced enrolment, verification and detection capabilities; smartphones applications for improved performance and verification capabilities; and a non-stop on-the-move system for biometric verification. The innovation will be validated against European societal values, fundamental rights, privacy, data protection and applicable legislation. Four different border control points and one document fraud expertise center will form the project’s testing and demonstration ground.

Keywords: on the move lightfield document verification system
Worker 4.0 – Connected. Empowered. Safe and Healthy. The first intelligent and interoperable platform based on AI and wearable/IoT devices for real-time workers safety and health monitoring (WearHealth)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
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

Artificial intelligence is a key priority for the European Union and is a field in which experts are in high demand. US tech giants are paying huge salaries for AI and machine learning talent, creating the potential for an EU brain-drain in the field. European AI research is well funded, but European ‘deep tech’ SMEs are generally less successful than the Americans at leveraging AI R&D into successful commercial ventures. WearHealth is an intelligent decision support system that can use any 3rd party wearables and IoT devices. 3rd party hardware is integrated into our proprietary cognitive technologies to build an intelligent software platform that can identify markers of workers’ occupational risks, health, workload, and work efficiency. With these insights, businesses will be able to detect and predict worker safety and health risks, thus preventing accidents and managing their workforce to improve productivity and operational efficiency. WearHealth’s disruptive character is defined by its unparalleled performance, interoperability, and potential utility in a wide variety of market verticals, unlike any competitive commercial solutions. Following 10 years of R&D at the Artificial Intelligence Institute at the University of Bremen, our team has created a self-learning platform that improves as it analyzes new streams of data. EU industry leaders are already paying to use our version 1.0 platform for worker safety applications in transportation and energy. The goal of this project is to further segment target user groups and refine our go-to-market strategy for WearHealth version 2.0, guided by feedback from large-scale target user and client interviews and surveys. We project generating €40M annual revenue by year 3 after market launch, and directly creating 180 jobs over the same time period.

Keywords: wearable,work safety,occupational hazard,health and safety