Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
PROCURED: Optimization Of The Salting Process For The Production Of Healthier And Higher Quality Dry-Cured Meat Products With Reduced And More Standardized Salt Content (PROCURED)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SMEs
Action type: Research for the benefit of specific groups
Countries involved: Spain,Italy,Austria,Spain,Hungary
Call:  (FP7-SME-2013, 2013)
Start date: 2014-01-01
End date: 2015-12-31
Duration (months): 24.0
Total project cost (EUR): 1411660.63
EU funding (EUR): 1036999.99
Participants: 9
Project status: CLOSED

Salt is used across Europe in the production of a wide variety of dry-cured meat products, which are not only important because of their high economic value, but also due to historical, cultural, and gastronomical reasons. Among them, the different varieties of dry-cured ham produced in many European countries are the most notable and economically relevant examples. In spite of their overall nutritional and gastronomical properties, the high sodium content in dry-cured products has become a major concern in terms of public health. Recently, the enhancement of the consumer awareness of the health effects of a salt rich diet has increased the market demand for reduced sodium food products. However, the development of these segments has proved to be a major technological challenge for the sector, due to the irreproducibility of the salting process. The heterogeneity of the resulting product is also responsible for substantial economic losses due to the fact that part of the production does not meet the expected quality standards. Besides, it reduces significantly the yield in the production of sliced products. The main goal of this project is to develop a pre-competitive salting control platform to enable an accurate control of the salting stage in the production of dry-cured meat, which will ultimately result in a more homogeneous and standardized salt content in the final product, and will enable developing new product segments with reduced salt content. The proposed solution integrates different novel in-line meat inspection technologies, and uses a Neural Network to determine optimum salting parameters. The project consortium brings together a group of leading SMEP in the sector of services and machinery for the meat processing industry, with the objective to develop after the project a commercial solution demanded by customers. The consortium also includes Meat Processors, which will be involved in the validation of the technology, and leading Research groups.

Keywords: magnetic induction sensor,artificial vision,artificial neural network
High quality curved aerospace composites using pultrusion manufacturing (PUL-AERO)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Aeronautics and air transport
Action type: Collaborative project
Countries involved: United Kingdom,Israel,France,Greece
Call:  (FP7-AAT-2013-RTD-1, 2013)
Start date: 2013-11-01
End date: 2017-02-28
Duration (months): 40.0
Total project cost (EUR): 1769420.0
EU funding (EUR): 1187397.0
Participants: 6
Project status: CLOSED

The main goal of PUL-AERO is the development of a material state based controlled pultrusion process for the manufacturing of curved and partially cured stringers that comply with the stringent specifications of the aerospace industry and offer significant savings in production costs. PUL-AERO will design and build a pultrusion line for the production of linear and curved composite stringers for the aerospace industry. The main disadvantages of the pultrusion process is the difficulty in producing curved parts and the difficulty in handling aerospace grade epoxy resins, mainly due to the relevant stringent requirements regarding exposure to elevated temperatures and their slow cure (which results in slow pultrusion line speed).. PUL-AERO aims to resolve the technical problems of pultrusion when it comes to production of curved aerospace composites parts and take advantage of the benefits of the process. The main benefits of the pultrusion process are the possibility for continuous production, the repeatability of the process and the low production costs (calculated as cost per meter of composite produced). PUL-AERO will create production processes and technologies with a focus on improved cost efficiency while taking into account the environmental related aspects. The pultrusion line will be split in two stages, adding flexibility to the manufacturing of stringers with different curvatures and improving the cost effectiveness of the production. The whole process will be driven and monitored by a process monitoring and QA system that will provide real time information and control of the line.

Keywords: advanced production methods,intelligent process control,quality control,advanced sensors,cost-effective manufacturing,pultrusion,curved stringers,aerospace composite materials
Development of an objective method to perform quality classification of comminuted poultry meat (MACSYS)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SMEs
Action type: Research for the benefit of specific groups
Countries involved: Denmark,France,Spain,Denmark,Germany,Denmark,Denmark,United Kingdom,Iceland
Call:  (FP7-SME-2013, 2013)
Start date: 2014-01-01
End date: 2016-03-31
Duration (months): 27.0
Total project cost (EUR): 1603003.0
EU funding (EUR): 1247404.0
Participants: 10
Project status: CLOSED

Deboning of meat is an important technology to improve yield and sustainability of meat production. But mechanically separated meat (MSM) is generally considered to be of inferior quality, and its use is subject to strict regulations. In contrast, manually separated meat is accepted as regular meat, and not subject to the same restrictions. But development of the technology for mechanical processes of meat-bone separation today makes it possible to produce a meat raw material that cannot be distinguished from regular meat mince. There are no objective reasons to classify all MSM as boing of inferior quality. EU regulations, however, still differ between MSM and meat strictly based on production method. MACSYS will address a major market opportunity for the SMEs consortium through the development of new efficient and objective solutions for the quality classification of comminuted poultry meat related directly to quality traits. A spectroscopy and/or impedance-based fast-track system will be developed to monitor meat quality in processing lines. Software for an automatic image analysis assessment of meat quality will be developed, based on a commonly accepted histochemical method. The MACSYS results represent a new solution to which there are currently no alternatives. The project will have significant impact in many areas: (1) For food laboratories and inspection services - the automated analysis system can be established as the new common method in the EU for meat quality assessment, saving costs due to a fast, objective analysis; (2) Poultry meat industry - the fast-track method can be used to perform in-line quality tests and to increase the market value of meat products (a significant amount of MSM has potential to be classified as meat); (3) Meat processing equipment manufacturers - the fast-track method can be integrated into the production line and add value to the existing equipment, through the possibility of performing in-line meat quality classification.

Keywords: spectroscopy,impedance,histochemical methods,automated image analysis
AUTONOMOUS CLOUD-COMPUTING VINEYARD ROBOT TO OPTIMISE YIELD MANAGEMENT AND WINE QUALITY (VINBOT)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SME associations
Action type: Research for the benefit of specific groups
Countries involved: Spain,Romania,Portugal,Spain,Hungary,Spain,Italy
Call:  (FP7-SME-2013, 2013)
Start date: 2014-02-01
End date: 2017-01-31
Duration (months): 36.0
Total project cost (EUR): 2021391.87
EU funding (EUR): 1536999.94
Participants: 9
Project status: CLOSED

VinBot responds to a need to boost the quality of European wines by implementing precision viticulture (PV) tools in the face of serious market threats worldwide and structural shortcomings within the EU wine sector. Wine producer associations have no control over yield management throughout their members’ vineyards, which leads to reduced quality wine at the association level. At the vineyard level, wine growers are not able to accurately assess yield due to the large amount of terrain to inspect, and use sample-based estimates of smaller production areas to estimate yield, which also negatively affects wine quality. An automatic yield monitoring system would allow winegrowers to accurately assess grape yield and relevant phyto-data via a set of sensors, tracking the state and location of the assets, generating maps, capturing sample locations, and sharing such information in a quick, flexible, autonomous and easy-to-use way. By means of a novel, all-terrain, autonomous robot, VinBot automates the traditional visual yield estimation process throughout the entire vineyard, estimating the amount of leaves and grapes on the vine via computer vision and other sensors. Data-intensive computer vision algorithms are offloaded to external internet servers (the cloud). The VinBot extends visual leaf and fruit estimation throughout the entire vineyard, and centralises yield management in the SME-AGs by providing them with online yield maps of their members' vineyards. The VinBot represents a powerful precision viticulture tool, which does not exist today: the cloud-computing agricultural robot. Using the VinBot, the consortium SME wine producer associations will be able to coordinate and optimise yield management strategies throughout their thousands of members' vineyards, based on their collective expertise and commercial objectives. They expect to sell their wine for 8%-20% more over a five year period by employing the VinBot system to accurately estimate yield.

Keywords: cloud computing,robotics,computer vision,precision viticulture,normalized difference vegetation index,terroir,defoliation,cluster thinning,differential harvesting
Increasing Capacity 4 Rail networks through enhanced infrastructure and optimised operations (CAPACITY4RAIL)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: France,France,Sweden,Germany,United Kingdom,Spain,Poland,Austria,Portugal,Italy,Italy,Belgium,United Kingdom,Spain,Czechia,Sweden,Sweden,United Kingdom,United Kingdom,Germany,Germany,Sweden,Türkiye,France,Sweden,Luxembourg,France,Spain,United Kingdom,Spain,Germany,France,Sweden,Spain
Call:  (FP7-SST-2013-RTD-1, 2013)
Start date: 2013-10-01
End date: 2017-09-30
Duration (months): 48.0
Total project cost (EUR): 14878030.93
EU funding (EUR): 9890105.0
Participants: 47
Project status: CLOSED

In 2011, the White Paper on European Transport reasserted how fundamental transport was for society, for the mobility of European citizens and for the growth and vitality of the European economy. CAPACITY4RAIL will deliver research that is innovative, prepares rail for the future and takes into account results from previous research projects and programmes. The project builds on previous useable results and will deliver both technical demonstrations and system wide guidelines and recommendations that will be the basis for future research and investment, increasing the capacities of rail networks in the future. The time used for infrastructure monitoring, maintenance and renewal means ‘down time’. New concepts for low maintenance infrastructure, using standardized and “plug-and-play” concepts will be proposed. Non-intrusive innovative monitoring techniques or self-monitoring infrastructure will be investigated, allowing low or no impact on train operations. The fragility of some key component of the infrastructure system (especially in extreme weather conditions) such as switches may impact the efficiency of the whole system. The resilience of switches to any kind of known failure will be reinforced, as well as the ability of the operation system to recover from incidents. Capacity enhancements will also be achieved by higher speed freight vehicles, allowing an optimized interleaving of freight trains into mixed traffic, and improved planning models for operation. Intermodal integration within the global transport system will be improved through enhanced transhipment of passengers and freight. CAPACITY4RAIL will also look towards 2030/2050, by proposing guidelines for future deployments in the mid-term, recommendations for technologies to de developed and deployed in the long term and investigating the key opportunities for funding these within national and EU funding schemes.

Keywords: capacity,infrastructure,monitor,freight,operations,intermodal,innovation,demonstration,planning
Development of a new Bio-Composite from renewable resources with improved thermal and fire resistance for manufacturing a truck internal part with high quality surface finishing. (NATURTRUCK)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SMEs
Action type: Research for the benefit of specific groups
Countries involved: Spain,Sweden,Poland,Spain,Spain,Germany,Slovenia,Türkiye
Call:  (FP7-SME-2013, 2013)
Start date: 2014-01-01
End date: 2017-03-31
Duration (months): 39.0
Total project cost (EUR): 1476750.82
EU funding (EUR): 1099000.0
Participants: 13
Project status: CLOSED

The main objective of NATURTRUCK is to develop injected plastic parts for the commercial vehicles industry (mainly cabin truck parts) made with thermoplastic composite materials from renewable resources (at least 80% w/w), namely physically modified polylactic acid (PLA) grades and natural fibres, with improved thermal and flame retardancy properties and high quality surface finishing to be used in truck internal parts as a real alternative to low-gloss standard ABS grades at a competitive cost. By achieving the challenging NATURTRUCK objectives, the availability of PLA with improved properties and optimised production process will allow NATURTRUCK SME’s partners, and consequently the EU industry, to fabricate new thermoplastic biocomposite products suitable to satisfy the commercial vehicles manufacture sector stringent mechanical, thermal, fire resistance and eco-friendliness requirements, at a cost comparable to current ABS price, increasing their differentiation from competitors and creating significant market opportunities. The main innovation of NATURTRUCK in comparison with previous projectsis the possibility to tailor the properties of commercial PLA grades by a synergic combination of different types of additives and reinforcements (radiation susceptors, chain extenders, flame retardants and natural fibres) and post-annealing techniques based on non-conventional high frequency energy sources. This challenge makes NATURTRUCK a real "beyond of the estate of art" project, due to the smart combination of technologies and materials employed, which will permit for instance to increase the rate and percentage of the crystalline phase in the PLA biocomposite and in consequence to increase its thermal resistance and mechanical properties.

Keywords: biocomposites,pla,annealing,natural fibres,plasticizers,nucleants,radiation susceptors
Integrity Testing of Deep Foundation Piles (PILEINSPECT)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SME associations
Action type: Research for the benefit of specific groups
Countries involved: United Kingdom,Germany,Hungary,Netherlands,Spain,Poland,Germany,Netherlands,United Kingdom
Call:  (FP7-SME-2013, 2013)
Start date: 2013-12-01
End date: 2016-11-30
Duration (months): 36.0
Total project cost (EUR): 2598144.34
EU funding (EUR): 2016000.0
Participants: 10
Project status: CLOSED

A hundred thousand kilometres of piles are installed yearly in Europe. Problems can occur during pile driving including spalling of concrete at the pile’s head or point and transverse or spiral cracking. Industry figures suggest that as many as 3-5% of piles fail during installation. If a failure is detected, the cost of that pile is increased 4 times due to the remedial work needed to replace it. If a failure is not detected during installation of the new pile, the results can be more catastrophic with costs sometimes exceeding €1 M for a single failure. Current pile inspection techniques involve dynamic load or sonic integrity testing. These are relatively fast to perform. However, the quality of results depends strongly on the knowledge and skill of the operator. It has been found that small defects that are less than about 0.4m (quarter wavelength) are difficult to detect. Some studies also indicate that defects representing less than 50% of cross sectional area are not detectable via sonic integrity testing. PileInspect aims to develop ‘best practice’ for inspecting the integrity of cast-in-place and pre-cast concrete piles and of steel piles. We propose to replace the instrumented hammer and pile driving hammer with a portable shaker which will ensure repeatable, tailored excitation spectra, and should dramatically improve accuracy of estimation of the proposed diagnostic features. Highly innovative signal processing methodologies (based on time frequency analysis techniques formulated for non-stationary signals) could be employed in order to try to increase the quality of diagnosis and perform automatic defect recognition.

Keywords: shaker,white noise,swept sine,damage diagnosis,signal processing,frequency analysis,vibration
Optimise Citizen Mobility and Freight Management in Urban Environments (OPTICITIES)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: France,Spain,Italy,Sweden,Poland,United Kingdom,Belgium,France,France,Germany,Belgium,France,Germany
Call:  (FP7-SST-2013-RTD-1, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 12862075.16
EU funding (EUR): 8997972.0
Participants: 26
Project status: CLOSED

OPTICITIES’ vision is to help European cities tackle complex mobility challenges. OPTICITIES’ strategy focuses on the optimisation of transport networks through the development of public/private partnerships and the experimentation of innovative ITS services. OPTICITIES addresses both passenger and freight transport issues supporting a user-centred approach. OPTICITIES delivers significant innovation breakthroughs: - New governance scheme between public and private stakeholders through a contractual architecture fostering data quality and implementing data access policy; - European standard for urban multimodal data set including interfaces with information services; - Decision support tools based on predictive data for proactive transport management and Multimodal Traffic Control Systems connecting road traffic and public transport data in cities; - Multimodal real-time urban navigator interfaced with in-car navigation systems as a first world trial; - Urban freight navigator to support drivers and fleet operators in optimising their deliveries. The European dimension of the project is ensured by a consortium of 25 partners from 8 EU member states. The consortium includes 6 city authorities, major ITS actors (research institutes, information service providers, car industry) and the most important networks of European cities and international public transport operators. Led by public authorities the consortium supports 3 key approaches: effectiveness of solutions ensuring deployment perspectives of maximum 5 years; scalability of services tailored to diverse European urban typologies; transferability of results to foster further deployments in other European cities. OPTICITIES’ main expected impacts are: - 6% modal shift inducing a yearly gain of 1.5 MT of CO2 - Increase in market size (211 M€ per year) thanks to the new governance scheme and implementation of innovative services - 10% decrease in private car use generating a gain of 3.6 M m2 of public space

Keywords: multimodal navigation and transport management,seamless,innovative,predictive,data access policy,private and public cooperation,cooperative systems
Future Of Surface Transport Research Rail (FOSTER RAIL)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Coordination and support actions
Countries involved: France,Belgium,Germany,United Kingdom,Sweden,Spain,Sweden,Italy,France,United Kingdom,France,France,Austria,France,Czechia,Spain,Portugal
Call:  (FP7-SST-2013-RTD-1, 2013)
Start date: 2013-05-01
End date: 2016-04-30
Duration (months): 36.0
Total project cost (EUR): 1832531.29
EU funding (EUR): 1659439.0
Participants: 20
Project status: CLOSED

FOSTER RAIL addresses the broad support challenges of SST.2013.6-1. Strengthening the research and innovation strategies of the transport industries in Europe. This Research action is a Level 1 Coordination and Support Action aiming at supporting the land transport European Technology Platforms activities. This action will assist ERRAC and the other transport-related European technology platforms (ETP) in defining research needs for their strategies and programmes in order to realise the objectives of the Europe-2020 strategy and further on the vision of the White Paper 2011 for a competitive and resource-efficient future transport system. This will be done in consultation with the European Commission (EC) and Member States and Associated States (MS/AS). The FOSTER RAIL workplan has been structured into 8 Work Packages (WP) which correspond to a series of logical steps with a certain degree of inter-relation that will ensure the successful outcome of the project. Especially, FOSTER RAIL will integrate the work done so far by ERRAC and its Working Groups and will further develop this. FOSTER RAIL shall build on ERRAC-ROADMAP and continue to support and enhance cooperation between stakeholders, including decision-makers, and enhanced definition of strategic research and innovation needs. As regard research and innovation targeting co-modality and other multi-modal issues, FOSTER RAIL shall address them in supportive cooperation with other transport modes. Finally, this project will be an essential support tool to provide a relevant Strategic Rail Research and Innovation Agenda as well as a Rail Business Scenario for 2050. This Railway Business Scenario shall be the reference for future research agendas and technology roadmaps to be developed in the timeframe from now on until 2050.

Keywords: rail research and innovation,rail industry,rail strategy,rail europe-2020 strategy,rail white paper 2011