Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
INNOvation Management Models for SECurity Organizations (INNOSEC)

Framework: FP7 — Cooperation
Programme: Security
Destination: Security Research coordination and structuring
Action type: Collaborative project
Countries involved: Spain,Germany,Finland,Sweden,Austria,Netherlands,United Kingdom,Netherlands,Spain
Call:  (FP7-SEC-2011-1, 2011)
Start date: 2012-02-01
End date: 2014-01-31
Duration (months): 24.0
Total project cost (EUR): 1650923.69
EU funding (EUR): 1289778.0
Participants: 10
Project status: CLOSED

The InnoSec project will make a strong contribution to developing and helping deploy effective and efficient innovation management systems for Security organisations in Europe. InnoSec will produce a unique modular model, together with a roadmap, for implementing and improving innovation management in public and private security end-users create new methodologies and built upon best practices in the sector and other sectors, verified by intra- and extra-project team end-users. The model is unique because there is no similar model devoted to security organisations. It will comprise the four phases of innovation: monitoring, evaluation, adaptation and feedback. It has been chosen to be modular to facilitate adoption and internal capability to undergo changes. Customary tools like technology watch, road mapping, and forecast, will be adapted to the security sector context. The roadmap will propose building blocks that will combine innovation modules and complementary pieces dealing with human-centred and motivational aspects, together with considerations of the organisation’ culture, and will include training materials. Every phase of the research, including the final results, is consistently contrasted with the opinions of distinguished experts and end-users coming from different areas of the Security services, maintaining public-private, regional sensibilities, operational-research, and gender balances. The consortium is composed of a combination of RTOs, academic researchers and end-users from across Europe. End-users cover three different areas of the security sector, including public, private and NGOs, regionally diverse and operating nationally and internationally. The two-year effort of InnoSec is planned to be given continuity through an observatory of security innovation, associated to the activities of the Eurotech Security Research Group and open to other stakeholders in the Security research field.

Keywords: innovation,innovation management,security organisations,public-private,modular model,roadmap,methodologies,building blocks,training,human-centre,organization's culture,observatory
Smart Maintenance and Analysis of Transport Infrastructure (SMART RAIL)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: Ireland,Belgium,Germany,Croatia,Slovenia,Germany,Poland,United Kingdom,United Kingdom,Netherlands,Poland
Call:  (FP7-SST-2011-RTD-1, 2011)
Start date: 2011-09-01
End date: 2014-08-31
Duration (months): 36.0
Total project cost (EUR): 3823675.94
EU funding (EUR): 2782055.0
Participants: 15
Project status: CLOSED

Europe needs a safe and cost effective transport network to encourage movement of goods and people within the EU and towards major markets in the East. This is central to European transport, economic and environmental policy. Many parts of Europe’s rail network were constructed in the mid 19th century long before the advent of modern construction standards. Historic levels of low investment, poor maintenance strategies and the deleterious effects of climate change (for example scour of bridge foundations due to flooding and rainfall induced landslides) has resulted in critical elements of the rail network such as bridges, tunnels and earthworks being at significant risk of failure. The consequence of failures of major infrastructure elements is severe and can include loss of life, significant replacement costs (typically measured in millions of Euro’s) and line closures which can often last for months. The SMART Rail project brings together experts in the areas of highway and railway infrastructure research, SME’s and railway authorities who are responsible for the safety of national infrastructure, The goal of the project is to reduce replacement costs, delay and provide environmentally friendly maintenance solutions for ageing infrastructure networks. This will be achieved through the development of state of the art methods to analyse and monitor the existing infrastructure and make realistic scientific assessments of safety. These engineering assessments of current state will be used to design remediation strategies to prolong the life of existing infrastructure in a cost-effective manner with minimal environmental impact.

Keywords: rail,cost-effective,life-cycle analysis,railway infrastructure,safety
Large Scale Industrial Structural Optimisation for Advanced Applications (LASCISO)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Germany,Denmark,Bulgaria,Germany
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 1382668.0
EU funding (EUR): 1382668.0
Participants: 5
Project status: CLOSED

The overall goal of LaScISO (Large Scale Industrial Structural Optimisation for Advanced Applications) is to enhance structural optimisation methods to be capable of optimisation with current industrial state-of-the-art simulation techniques, i.e. to “optimize what can be simulated”. This requires a tight cooperation between leading research institutions and industry within the fields of numerical optimisation, structural mechanics and software engineering. Current industrial structural optimisation software packages are capable of optimizing linear static and modal finite element (FE) modelled structures. The optimisation is mainly carried out by the CAE (computer aided engineering) simulation groups which are typically also in charge of carrying out more complex simulations involving multiphysics effects and different types of nonlinearities. The demand for optimisation tools which can handle the latter is obvious because many effects can only be investigated and controlled by using these analysis methods. To solve these optimisation problems in an efficient and flexible way, sensitivity based optimisation methods must be extended to cope with multiphysics and nonlinearities. This requires skill in development of new methods and software capabilities. With the consortium consisting of different specialists within the project area, it will be ensured that all skills needed to overcome the current limitation are available such that current state-of-the-art large scale simulations may be used directly in optimisation with good performance. The benefit of LaScISO is a faster and more cost-efficient simulation driven European product development. The optimisation methods will provide a competitive advantage over non-European developers to create low-weight, CO2-saving high quality products within a shorter development time.

Keywords: mechanical engineering,automotive,aerospace,structural optimization,finite element analysis,large systems,parallel computation
Safe and green road vehicles (SAGE)

Framework: FP7 — Capacities
Programme: Regions of Knowledge
Destination: Transnational cooperation between regional research-driven clusters
Action type: Coordination and support actions
Countries involved: Sweden,France,Germany,Germany,Italy,Poland
Call:  (FP7-REGIONS-2011-1, 2011)
Start date: 2011-11-01
End date: 2014-10-31
Duration (months): 36.0
Total project cost (EUR): 2953492.8
EU funding (EUR): 2511269.0
Participants: 11
Project status: CLOSED

The SAGE network of regional research driven clusters will facilitate an increasing pace of innovation within the major European growth market for innovative road vehicles for passengers and goods. The science and technology Scope of SAGE is innovative road vehicles for passenger and goods transport. The main technology drivers for the research driven clusters of SAGE are safety for drivers, passengers and other road users; greening of road transport; and usability, in terms of affordability, functionality, and attractiveness. The goal is to strengthen European competitiveness in the road vehicles sector. To achieve this, the project work will address five key objectives: 1. Assess the current and future capacity of Europe’s most important regional research driven clusters; 2. Assemble a portfolio of best practices as regards the key aspects of cluster management and regional R&I policy deployment; 3. Ensure that all European regions with a potential to contribute can do so; 4. Development of a common SAGE agenda with long and short term goals for innovation, research and education; and 5. Integrate an innovation and IP management system consortium-wide to enable efficient and reliable knowledge exchange. The automotive industry is a major economic driver in all the participating and the potential growth in jobs and GDP from this is significant. SAGE will enhance the efficiency of European innovation in the road vehicles sector and promote a faster response to consumer and societal demand for safe and green transportation. SAGE has been developed as a complementary consortium comprising different types of clustering modalities. It will yield very tangible output as regards the inclusion of more regions into the research driven automotive industry, primarily through the Warsaw region, where a knowledge-cluster on electric-hybrid mobility is being constructed during the spring of 2011.

Keywords: road vehicles,safe,green,electric,hybrid,triple helix,cluster
Development of novel and advanced decontamination sustainable technologies for the production of high quality dried herbs and spices (GREENFOODEC)

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,Germany,Türkiye,Sweden,Spain,Germany,Spain
Call:  (FP7-SME-2011, 2011)
Start date: 2012-02-01
End date: 2014-07-31
Duration (months): 30.0
Total project cost (EUR): 1808259.86
EU funding (EUR): 1184675.31
Participants: 9
Project status: CLOSED

GREENFOODEC will set up novel and advanced decontamination technologies, overcoming existing limitations for high quality preservation and microbial decontamination of herbs & spices. To solve the present limitations related to the use of the current technologies used for the preservation of spices, this project will focus on four novel technologies: High pressure CO2+ultrasound (HPCD+US), cold plasma (CP), and electromagnetic energy (microwave (MW) and infrared irradiation (IR)). The presentation of each product may play an important role in the efficacy of the treatments and the selection of the proper operating parameters. Hence, three different formats of products will be studied, which are representative of the commercial herbs & spices: herb, powder and seed. In order to have a real application in the European spice sector, three products have been considered as a reference: pepper or similar seed product, paprika or similar as representative for powder presentation and oregano or similar product as representative of herbs format. During the development of the project, SME-AGs and individual companies will contribute to several RTD tasks, such as the multicriterium assessment of the treated products and the final assessment of the direct use of treated herbs & spices on selected foodstuffs. This will later guarantee the success of the knowledge transfer from R&D centres to the sector companies and the exploitation of the results. The participation of the Associations will enable the dissemination of the results to a high number of companies increasing the quality of the spices, their trading and their consumption. This project will contribute to generate new opportunities in the food sector to produce high value products in the market.

Keywords: plasma technology,high pressure co2,microwaves,decontamination,infrarred,microorganisms,microbiology,food engineering,processing
Diesel Powerpack for a Light Helicopter Demonstrator (HIPE AE 440)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Clean Sky
Action type: Article 171 of the Treaty
Partnership: CLEAN-SKY (Art-185)
Countries involved: France,Austria
Call:  (SP1-JTI-CS-2010-05, 2010)
Start date: 2011-06-01
End date: 2015-04-30
Duration (months): 47.0
Total project cost (EUR): 9283452.6
EU funding (EUR): 5447225.0
Participants: 2
Project status: CLOSED

Within the last years the pressure of the European society to improve the environmental performance of aviation has grown significantly. Different approaches have been made to address this problem in a proper manner and especially within the Clean Sky program different projects are planned, which yield in a significant reduction of fuel consumption and CO2 emissions. Up to now for aviation engines the main technology is based on turbine engine technology. Such turbine engines are light and have a very high power to weight ratio. Unfortunately these engines have high fuel consumption and consequently tremendous high CO2 emissions. Therefore this call asks for a possbile solution using a reciprocating Diesel engine. Whereas these engines are already successful in market in the general aviation fixed wing application this technology has not found the way into the helicopters up to now. The reason can be found by two major items, first the already known reciprocating Diesel aviation engines have not more than 200 kW and second these engines have a power to weight ratio which is far below the existing heilcopter engines. Both problems are adressed in the presented proposal. The proposal presents an engine which fits perfectly into the power to weight requirement of a helicopter. Within this engine the advantages of high end race technology is combined with the safety needs of aviation engines. Beyond this it is shown that the presented engine technology has the necessary growth protential for future applications. All together it is shown that the proposed solution presents the achievable optimum under consideration of all constraints required within the Call for Proposal. Furthermore it is obvious that with the presented solution a big step will be done in direction to green technology in the aviation world and moreover the European position in manufacturing and rulemaking would be strengthened in a significant way as well as demonstrating it in flight to the public.

Keywords: diesel powerpack,light weight engine,high performance diesel engine,helicopter diesel engine,low emission diesel engine
Intelligent Monitoring System based on Acoustic Emissions Sensing for Plant Condition Monitoring and Preventative Maintenance (MOSYCOUSIS)

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,Romania,Ireland,Poland,Ireland,Estonia,Romania
Call:  (FP7-SME-2011, 2011)
Start date: 2011-10-01
End date: 2013-09-30
Duration (months): 24.0
Total project cost (EUR): 1667592.8
EU funding (EUR): 1243199.9
Participants: 8
Project status: CLOSED

Unexpected failure in an industrial production chain does not only involve the costs of failed parts replacement and the associated man-hour labour, but downtime costs have also have to be considered. To keep a machine functioning well it is a must to have good predictive maintenance, as it helps to reduce operating risk, avoids plant failures, provides reliable equipment, reduces operating costs, eliminates defects in operating plant and maximises production. Acoustic Emission (AE) is a phenomenon of transient elastic wave generation in materials under stress. When the material is subjected to stress at a certain level, a rapid release of strain energy takes place in the form of elastic wave which can be detected by transducers placed on it. Plastic deformation and growth of cracks are among the main sources of AE in metals. Though AE can came form any system under movement, the main source is doubtlessly from rotating machinery. Sources of AE in rotating machinery include impacting, cyclic fatigue cracks, friction, turbulence, material loss, cavitation, leakage, etc. In most cases the SMEs machine owner would be satisfied with a simple affordable device that is able to warn them from critical equipment failure. Recent developments in sensing technology, microprocessors, and miniaturised radio transceivers has enabled a new generation of Wireless Sensors Networks. The future of these sensors is to have an ubiquitous sensing nodes that will autonomously report on operating conditions, and that this data will be used to facilitate structural health monitoring, embedded test & evaluation, and condition based maintenance of critical industrial rotating machinery without the use of expensive cabling. In addition, in order to provide sensing networks which are truly autonomous, chemical batteries must be eliminated from the sensor and some kind of energy harvesting has to be foreseen. Piezoelectric materials have demonstrated their ability to convert vibration energy from vibrating machinery and rotating structures into electrical energy for powering a wireless sensing node. Hence, an acoustic emission self-powered wireless sensor is one of the main objectives to be achieved in this project. The sensor will measure using frequency as opposed to time which is an advancement from the state of the art.

Keywords: acoustic,sensor,piezoelectric,energy harvesting,global wireless gprs,artificial intelligence,communication system,cpu
Fast-Tracking Pathology via Automated Image Analysis and High-Performance Computing: Application to Prostate Cancer Diagnostics (FAST-PATH)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Ireland,United Kingdom,Sweden,Sweden
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2011-11-01
End date: 2015-10-31
Duration (months): 48.0
Total project cost (EUR): 1948327.0
EU funding (EUR): 1948327.0
Participants: 6
Project status: CLOSED

Histopathology has traditionally been a low-throughput, labour-intensive technique. Conventional manual annotation of tissue slides requires a pathologist to examine the tissue and cellular components to grade the level of disease progression. However, digital pathology and automated digital image analysis solutions can provide a more rapid solution. In recent years, there has been a rapid uptake of digital pathology in both the academic and industrial sectors, each creating large image libraries with related manual and automated annotations, all stored on local systems. There is now a requirement to streamline this process and to provide a comprehensive set of tools for data integration and mining of this valuable, but often not fully exploited, information. There is also a need for inter-lab standardisation and the development of high-performance computing approaches to enable integration of multiple libraries and knowledge discovery. The FAST-PATH project will address these key issues to maximise the capabilities of the digital pathology workflow. Specifically, FAST-PATH will develop a set of tools, available through a web-based interface, to address the standardisation, integration and knowledge discovery of high-throughput digital pathology libraries and related manual annotations. We will focus on integration of oncology-based data generated from the academic and industrial partners involved, with a particular emphasis on prostate cancer. This inter-sectoral study will also involve validation of novel prognostic biomarkers via automated analysis of immunohistochemical images. Importantly, FAST-PATH will bring together 4 major European academic institutes and 2 SME partners with the central aim of streamlining digital pathology via the development of data standardisation, integration and discovery tools.

Keywords: digital pathology,prostate cancer,biomarkers,high performance computing,automated image analysis,pattern recognition
Business Process Modelling for Participatory Enterprises, Organizations, and Public Aministration Bodies (BPM4PEOPLE)

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: Italy,Spain,Italy,Spain,Romania
Call:  (FP7-SME-2011, 2011)
Start date: 2011-09-01
End date: 2013-08-31
Duration (months): 24.0
Total project cost (EUR): 1251130.8
EU funding (EUR): 977400.0
Participants: 6
Project status: CLOSED

The Project will put together two of the major innovation drivers in the enterprise software industry of the last decade: Business Process Management Systems (BPMS) and Enterprise Social Software (ESS). The objective of the Project is to create a radically new generation of BPM tools capable of integrating the analysis, specification, design, implementation and evolution of Business Processes with social networking functions, allowing companies and public administrations to quickly deploy more flexible and human-cantered business processes that exploit the social interactions within the community of employees, customers, and suppliers. The project will propose social extensions of OMG’s BPMN 2.0, implement BPM tools based on such extensions, and demonstrate the deployment on top of mainstream social networking platforms (e.g., LinkedIn, FaceBook, and enterprise social networks). The Social BPM tool suite created in the Project will feature a technical and organizational flexibility expressly conceived for SMEs, who nowadays cannot easily afford the complexity and high total cost of traditional BPM solutions.

Keywords: social business process management