Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Cassantec Online for SMEs, an advanced prognostic platform for predictive maintenance and failure of industrial assets (Cassantec)

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: 2016-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The loss of production if critical machines break down are high for any company. Just a few examples: downtime for a packaging line costs €130/min., in the auto industry €19k/min., for a paper mill €210k per year and for a power plant can cost even €1.2M/GW year. According to 12% of SMEs in Europe the cost of production or labour is their biggest challenge, where maintenance related costs are estimated to be 25% of the overall operating costs. Cassantec online prognostics software prognosticates future events to minimize equipment and plant downtime by improving predictive maintenance and reduces operating and maintenance costs (O&M) by 20%. The use of advanced stochastic data analysis of an asset/plant/fleet makes Cassentec superior to any existing solution. The software provides explicit time window, type of failure and failure localization in form of raw data, interim data and customized reports. Cassentec intends to offer this service to EU SMEs as first target clients. The feasibility assessment will develop a plan for product development and scale-up, identify the key industrial and market segments and strengthen the commercilization strategy, plan pilot demonstration and validation in collaboration with industry relevant partners, with an already established SME customer base in EU.

Keywords: advanced data analytics,asset management,manufacturing,smes,equipment failure,operational costs,machine learning software,competetiveness,better decision making,production optimization,preve
Design and Integration of Graphene Fibre Based Antennas for Smart Textiles (GFSMART)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-04-01
End date: 2020-03-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Smart textiles that provide a seamless command-oriented user interface and have capable of wireless communication, have become active research field in recent decades with interest of wearable and attractive platforms. Well-known mechanical requirements such as light weight, compactness, and flexibility, that smart components should be invisibly and unobtrusively integrated into a garment to ensure the wearer’s comfort. GFSMART aims to develop graphene fibre based antennas for smart textiles that pushes the state-of-the-art in wireless body-centric systems, by utilizing traditional textile manufacturing techniques. Wearable antenna will be developed based on the merits of graphene as a flexible, conductive fibres. GFSMART project does not only involve implementation of novel materials and wearable electronics but also embraces design strategies of smart adaptive garments for people affected by dementia and Alzheimer’s disease. The proposal hosting by Royal College of Art (RCA), will involve collaboration with other EU universities, which will increase the impact of the developed results on the textile industry and enable my career restart in European research zone. GFSMART will lead to first implementation of graphene fibres in wearable antenna design and later in designing smart garments for people affected by dementia and Alzheimer’s disease. I have extensive experience on carbon nanomaterials and novel materials for textile applications and published more than 30 critically acclaimed journal and conference papers, patents in this subject. Through this innovative multidisciplinary research and with the help of experimental infrastructure provided by the RCA, as a newly appointed senior tutor in smart textiles at RCA, I am expected to gain maturity in managing research projects and advance my career toward being an esteemed professor in the field of smart textiles in Europe.

Keywords: graphene fibre,wearable antenna,smart textiles,graphene,innovative design,body centric communications
Transmission of Classical Scientific and Philosophical Literature from Greek into Syriac and Arabic (HUNAYNNET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Germany,Austria
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-05-01
End date: 2021-09-30
Duration (months): 65.0
Total project cost (EUR): 1498452.0
EU funding (EUR): 1019977.0
Participants: 2
Project status: CLOSED

It is often taken for granted that the Greek-Arabic translation movement (8th-10th c.) that made the whole bulk of Classical Greek scientific and philosophical literature available in Arabic (and that was later handed over to Europe in Latin translations) owes much to the preceding period in the history of transmission of this scientific and philosophical literature, namely translations into the Syriac language that were implemented by Aramaic-speaking Syriac Christians. The problem of continuity between the two periods however has not been tackled thoroughly in scholarship and thus the actual impact of the Syriac translations on later methods of translation has so far not been measured and assessed. One feasible solution to this problem in our understanding of the background to the Greek-Arabic translation movement is to implement a comprehensive comparison of Syriac and Arabic translations by means of lexicographical analysis. This project offers a research tool capable of allowing this comparison. It will combine methods of online lexicography and of corpus linguistics with the aim of presenting in a systematic and rationalized way the lexical data from the entire corpus of Syriac scientific and philosophical translations, comparing and analyzing its terminology and translation techniques, first, with the extant Greek originals and, secondly, with Arabic versions. The lexicographic database will be an effective instrument providing definite data for the study of Syriac and Arabic translations and their close connections. It will reveal how the Syriac translations along with underlying methods and tools that were put to use for the first time ever by Syriac Christians eventually determined the prosperity of the Islamic sciences. Fully endorsing a principle of open access the database creates a new instrument for a study of the history of the transmission of Greek scientific literature in Antiquity and the Middle Ages.

Keywords: syriac studies,greek syriac arabic translations,transmission history of greek science and philosophy,lexicography
Towards a molecular understanding of the centriole assembly process (SAS6-Cep135-CPAP)

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: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The centriole is a conserved organelle essential for cell organisation, division and motility through its capacity to organise microtubules. A broad range of human diseases, such as microcephaly and cancer, have been associated with defects in centriole formation, making the full characterisation of its assembly process of great interest. Centrioles are miniature cylinders of characteristic symmetry, diameter and length, yet the molecular methods by which these parameters are defined are only partly understood. The objective of this proposal is to study the structure – function relationship of the centriolar proteins SAS-6, Cep135 and CPAP, which together form a protein interaction network that supports centriole elongation and connects the core centriole scaffold with its microtubule-based exterior. This project will be carried out through an integrated, multi-disciplinary approach combining structural biology, biophysics and functional assays in human cell lines. We will investigate the effect of disease-causing mutations in the structure and function of the SAS-6 – Cep135 – CPAP network. This work will boost our understanding of the centriole formation process and how it is perturbed in disease, and be a pioneering example of elucidating the molecular architecture of a cell organelle.

Keywords: centriolar architecture,structure,x ray crystallography,electron microscopy,biophysics,structural cell biology,sas 6 cep135 cpap,centriole biogenesis,organelle biology
Innovative platform for fresh-produce quality control (Clarifruit Oct 19)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-06-01
End date: 2022-11-30
Duration (months): 30.0
Total project cost (EUR): 3203750.0
EU funding (EUR): 2242625.0
Participants: 1
Project status: CLOSED

ClariFruit developed a next-generation, automated QCaaS (quality control as a service) platform that facilitates fast and intelligent quality control for fresh produce. Growers, wholesalers, and retailers use ClariFruit's application over a smartphone camera, combined with data from external sensors (such as spectrometric devices that measure chemical properties and mechanical devices that measure physical properties) to assay fruits and vegetables. The data is collected into an ever-growing cloud-based database containing millions of such readings from the entire userbase. An innovative machine-learning algorithm integrates the data of both internal and external attributes: size, weight, sugar content, ripeness, freshness, firmness, durability, and more. In a matter of seconds, an accurate evaluation of the produce's quality is reflected in a report that includes a grade-based quality assessment. ClariFruit’s platform assists customers with immediate savings of more than 50% of time and cost. It is universally deployable, functioning on any smart mobile device, and using crowd wisdom it constantly “learns” to provide more accurate results. It boasts an intuitive user interface that will render quality control accessible to all, as opposed to a few professionals. The result: waste prevention, dramatic cost reduction, transparency, and standardisation of the fresh-produce market.

Keywords: quality control,fresh produce,waste reduction,data analytics,artificial intelligence,computer vision
First use of probabilistic programming for hard problems in statistical phylogenetics (PhyPPL)

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: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-05-04
End date: 2022-08-24
Duration (months): 24.0
Total project cost (EUR): 203852.16
EU funding (EUR): 203852.16
Participants: 1
Project status: CLOSED

Statistical analysis of phylogenetic models is one of the most active areas of research in computational biology today with wide applications in the Theory of Evolution, epidemiology, forensics, etc. Current phylogenetic software packages limit the user to the set of phylogenetic models and inference strategies that have been pre-programmed in the tool. Inference under certain important phylogenetic models is very difficult with the Markov chain Monte-Carlo strategy implemented in current packages for phylogenetic analysis. The new paradigm of probabilistic programming, coming from computational statistics and theoretical computer science, solves the model expression problem and enables the user to implement novel inference methods. We utilize probabilistic programming to automatically generate Sequential Monte Carlo (SMC) inference machinery for MCMC-hard problems in phylogentics. SMC algorithms may be more efficient, provide unbiased solutions, and provide likelihoods estimates for model comparison. The goal of the proposed research is to carry out some of the first applications of probabilistic programming to real-world problems of empirical interest in evolutionary biology. The objectives are (1) to design and implement statistical inference machinery for complex diversification models with variable tree topology and a trait-dependent branching process under probabilistic programming, (2) to do a pilot study on the applicability of this inference machinery by studying the effect of the orogeny of the Andes on Neotropical biodiversity, and (3) contribute to the design and implementation of a novel probabilistic programming language for phylogenetics, TreePPL, by utilizing the insights gained from (1) and (2). We also propose dissemination and communication measures that target scientists and the general public throughout Europe and in particular new and aspiring EU member states.

Keywords: bayesian statistics,probabilistic programming,phylogenetics,artificial intelligence,theory of evolution,biogeography,genomics,statistical inference,compilers
Carbon Risk Real Estate Monitor - Framework for science based decarbonisation pathways, toolkit to identify stranded assets and push sustainable investments (CRREM)

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: Coordination and support actions
Countries involved: Spain,Germany,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Making the energy efficiency market investible (H2020-EE-2017-CSA-PPI, 2017)
Start date: 2018-02-01
End date: 2021-01-31
Duration (months): 36.0
Total project cost (EUR): 1487902.72
EU funding (EUR): 1487902.72
Participants: 6
Project status: CLOSED

The overall objective of the Carbon Risk Real Estate Monitor Project (CRREM) is to accelerate the decarbonization and climate change resilience of the EU real estate sector by providing appropriate science-based carbon reduction pathways at property, portfolio and company level. Furthermore a framework for financial risk assessment to cost-effectively manage carbon mitigation strategies will be delivered. CRREM aims to integrate carbon efficiency and retrofit requirements into investment decisions by evaluating and clearly communicating the downside financial risks associated with a low energy performance and quantifying the financial implications of stricter regulatory environment regarding carbon intensity on the building stock (so-called risk of stranded-assets). The poor energy efficiency of existing buildings and the still low refurbishment rates in virtually all member states are among the major risks for the sector, as many assets will become „stranded“ properties that will not meet future energy efficiency standards or whose required energetic retrofit will not be financially viable. CRREM will produce clear Science Based Targets for the sector, a tool/framework to assess risk and qualitative reporting templates, which will contribute to accelerate the decarbonisation of the EU building stock to „2-degree-readiness“. CRREM will apply a sectoral decarbonization approach to downscale EU’s carbon reduction commitments (INDCs) to the Paris Agreement to sector and building level. The project will also provide investors with reliable risk assessment tools to promote more awareness for the need of climate risk management on corporate level. The project will also support the assessment of the financial, regulatory and administrative barriers for investment and how to overcome them. CRREM aims to reduce carbon emissions and increase investment in sustainable retrofits by making real estate decarbonisation targets more transparent and accessible across Europe.

Keywords: real estate,decarbonisation,stranded assets,carbon risk assessment,energy efficiency investments,science based targets
Sustainable technologies for future long distance shipping towards complete decarbonisation (ENGIMMONIA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Italy,Germany,Spain,Italy,Cyprus,Greece,Greece,Sweden,Greece,Greece,Greece,Netherlands,Denmark
Call: Decarbonising long distance shipping (H2020-MG-2020-TwoStages, 2020)
Start date: 2021-05-01
End date: 2025-04-30
Duration (months): 48.0
Total project cost (EUR): 9500000.0
EU funding (EUR): 9500000.0
Participants: 26
Project status: SIGNED

The decarbonisation targets of the shipping sector by IMO are extremely challenging and require active measures as soon as possible. ENGIMMONIA comes with solutions that focus on two main pillars: i) promote the global introduction of alternative fuels (ammonia), ii) transfer to maritime sector clean energy technologies robustly demonstrated for terrestrial application (e.g. Waste heat recovery, renewables etc). ENGIMMONIA will indeed study the benefits of using a carbon-free fuel like ammonia (that in any case could have a GHG impact due to N2O emissions that should be properly treated by an EATS to be developed in ENGIMMONIA under AUTH/DTU supervision) in vessel engines also coupling its benefits/performances with other clean energy technologies like: (1) waste heat recovery solutions based on ORC and adsorption chiller for the production of electricity and space cooling respectively, (2) renewables integration on board thanks to the installation of PV composite surface easily installable on vessel structural parts , (3) on board fuel/energy/heat management optimization via real time Energy Mangement System; towards the creation of ENGIMMONIA polygeneration energy hub. Targeting long term full decarbonization of shipping sector, ENGIMMONIA will capitalize previous R&D initiatives that already tested some of these technologies for terrestrial application, moving them to marine sector also from a regulatory/business point of view under RINA coordination, as a naval classification body. To do so technologies will be demonstrated at TRL>5 in real scale engines (MAN) and on board of three vessels: an oil tanker (FAMOUS), a shipping vessel (DANAOS) and a ferry (ANEK) thus proving their replicability on board of different type of vessels. To guarantee ENGIMMONIA innovations wide acceptance, maritime sector’s key players are involved (C-JOB, MAN, RINA-C etc.) while other will interact as stakeholders, also supporting IMO and IACS initiatives at policy/regulatory level.

Keywords: ammonia engine,waste heat recovery,adsorption chiller,polygeneration hub,pv integration,energy management,safety,on board testing,decarbonisation of shipping
Satcom and terrestrial architectures improving performance, security and safety in ATM (SAPIENT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Italy,Austria,Italy,Italy,Switzerland,Netherlands
Call: Communication,Navigation and Surveillance (CNS) (H2020-SESAR-2015-1, 2015)
Start date: 2016-04-01
End date: 2017-09-30
Duration (months): 18.0
Total project cost (EUR): 999500.0
EU funding (EUR): 859500.0
Participants: 6
Project status: CLOSED

The present SAPIENT (Satellite and terrestrial architectures improving performance, security and safety in ATM) proposal addresses a new innovative application in the field of CNS/ATM system (H2020 SESAR ER Call 2015 Work Area 2, ER-08-2015) focusing exploitation of the synergies of Communications and Navigation technologies and the 4D trajectory management concept. In this frame, the SAPIENT project aims at supporting the Technology Communication and Navigation roadmaps and the stakeholders roadmaps for the Air-Ground datalinks (European ATM Masterplan issue 2012), in the timeframe soon following the Step 3 (availability of High integrity Air-Ground datalink comms service, Multi constellation GNSS, 4D trajectory based operation). SAPIENT project is strictly linked to the current phase of SESAR, taking into account the analysis and the definition activities carried out in the WP15 CNS and, in particular, the results of P15.2.4 and P15.2.6. In addition, taking into account the SESAR work on Remote Piloted Aircraft System (see P15.2.4 task 105 and Medale project), the SAPIENT system aims at improving the performance of the RPAS Command, Control and Communication satellite datalink, that is recognized as one of the major technical gaps for the RPAS integration in the civilian airspace.

Keywords: datalink,future communication infrastructure,4d trajectory based operation,rpas command control and communication
Distributed Acoustic Sensing for Cable Monitoring and Surveying for Offshore Wind Farms providing movement, depth, surface disruption and free-span readings (SENTRY)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: United Kingdom
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 1972673.75
EU funding (EUR): 1380871.0
Participants: 1
Project status: CLOSED

Electricity Distribution Services Ltd (EDS) is a global leader in High Voltage (HV) asset management for offshore wind farms. In the offshore wind industry, newly commissioned engineering projects often experience failures either in the initial years of operation or at the end of their lifecycle. Subsea cable damage most often arises from: anchor strikes, dragging fishing nets and erosion. Statistics show that a wind farm cable circuit of average length is likely to experience 1-2 faults per 20-year period. Insurance companies increasingly report on HV cable faults being a major issue for financial losses at offshore wind farms. They led to insurance claims totaling more than €60 million in 2015. On average, at least 10 subsea cable failures are declared to insurers each year in the offshore wind sector. The financial severity of these incidents continues to grow – such that they account for 77% of the total global cost of offshore wind farm losses. Our CableSENTRY is an innovative solution based on Digital Acoustic Sensing (DAS) technology that detects subsea cable faults in real time. Acoustic signals from the HV cable create an optical response in a fibre optic line so faults and other events can be located accurately and immediately on a calibrated system. Applied in addition to existing fault location technology, our solution will be able to identify fault locations in land and subsea HV cables and save an average of 4 days’ downtime per fault over current methods

Keywords: cable,monitoring,acoustic,sensors,wind farms,faults