Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Power plants Robustification based On fault Detection and Isolation algorithms (PRODI)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Serbia,Italy,Spain,Slovenia
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-04-01
End date: 2011-03-31
Duration (months): 36.0
Total project cost (EUR): 2033982.0
EU funding (EUR): 1600000.0
Participants: 6
Project status: CLOSED

Fault Diagnosis and energy efficiency has become an issue of primary importance in process automation as it provides the pre-requisites for fault tolerance, reliability or security, which constitutes fundamental design features in complex engineering systems. The goal of this project is design of novel, sophisticated FDI algorithms and their application to complex systems with a huge number of sensors and actuators. Characteristic examples of such systems are power plants and biofuels factories that usually involve more than a hundred closed control loops whereas each of them contains at least one actuator and two or more sensors. Having in mind the complexity of such systems, significance of safety aspects and the financial consequences of system failures, the development of the efficient and reliable techniques for failure detection and isolation becomes of paramount importance. The aim of this project is to develop and test new and improved FDI techniques tailored to the complex applicative scenario of power systems. The research within the proposed project will be devoted to the following directions: 1) New state estimation schemes for instrument fault detection and robust fault diagnosis using unknown input observers; 2) Advanced intelligent algorithms for fault and leakage detection in local electro-mechanical devices within the power plants and biofuels factories. These algorithms should be based either on statistical pattern recognition or soft-computing techniques, 3) Design of novel analytical techniques for multi-sensor signal processing in order to detect existence and localization of failures in a distributed sensors networks; 4) Integration considerations and system implementation in architectures and validation on a real plant.

Keywords: fault diagnosis,power plants,energy efficiency,complex systems control,uncertainties,distributed sensors network,statistical signal processing,pattern recognition
PErvasive Computing in Embedded Systems (PECES)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Spain,Germany,Germany,United Kingdom,Ireland,Germany,Hungary
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-10-01
End date: 2011-12-31
Duration (months): 39.0
Total project cost (EUR): 2496886.0
EU funding (EUR): 1750000.0
Participants: 7
Project status: CLOSED

The overarching goal of the PECES project is the creation of a comprehensive software layer to enable the seamless cooperation of embedded devices across various smart spaces on a global scale in a context-dependent, secure and trustworthy manner. The increasing number of devices that is invisibly embedded into our surrounding environment as well as the proliferation of wireless communication and sensing technologies are the basis for visions like ambient intelligence, ubiquitous and pervasive computing. The benefits of these visions and their undeniable impact on the economy and society have led to a number of research and development efforts. These include various European projects such as EMMA or AMIGO that develop specialized middleware abstractions for different application areas such as automotive and traffic control systems or home automation. These efforts have enabled smart spaces that integrate embedded devices in such a way that they interact with a user as a coherent system. However, they fall short of addressing the cooperation of devices across different environments. This results in isolated ‘islands of integration’ with clearly defined boundaries such as the smart home or office. For many future applications, the integration of embedded systems from multiple smart spaces is a primary key to providing a truly seamless user experience. Nomadic users that move through different environments will need to access information provided by systems embedded in their surroundings as well as systems embedded in other smart spaces. Depending on their context and on the targeted application, this can be smart spaces in their vicinity such as ‘smart stores’ or distant places with a specific meaning such as their home or their office or dynamically changing places. PECES is committed to developing the technological basis to enable the global cooperation of embedded devices residing in different smart spaces in a context-dependent, secure, and trustworthy manner.

Keywords: embedded system,pervasive computing,middleware,security,development tools,context ontology
Self- Management of Cognitive Future Internet Elements (SELF-NET)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: Greece,France,Germany,United Kingdom,Austria
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-05-01
End date: 2010-12-31
Duration (months): 32.0
Total project cost (EUR): 3771090.0
EU funding (EUR): 2450000.0
Participants: 7
Project status: CLOSED

Self-NET aims to introduce, design and validate an innovative paradigm for cognitive self-managed elements of the Future Internet. The present Internet model is based on clear separation of concerns between protocol layers, with intelligence moved to the edges, and with the existent protocol pool targeting user and control plane operations with less emphasis on management tasks. Self-NET shall engineer the Future Internet based on cognitive behaviour with a high degree of autonomy, by proposing the operation of self-managed Future Internet elements around a novel feedback-control cycle. The Self-NET proposed Distributed Cognitive Cycle of System Management shall facilitate promotion of distributed management over a hierarchical distribution of management and (re)configuration cognitive cycles, breaking down the execution and decision making levels to (autonomic) network elements, network domain types and up to the service provider realm. Moreover, Self-NET shall study integrated solutions for knowledge management within autonomic elements, including knowledge distribution among the various autonomic elements, as well as a coordination scheme for the cooperation among different network domains. Self-NET shall propose a framework for the transition of traditional monolithic approaches for management actions and protocol stack design to more flexible and dynamic schemes, by introducing autonomic models for localised management decisions. Furthermore, Self-NET shall provide a peer-to-peer style distribution of responsibilities among self-governed elements of the Future Internet, therefore overcoming the barrier of current client-server in the operation of mobility management, broadcast/multicast, and quality of service mechanisms. The consortium shall develop a prototyping environment to test the applicability and robustness of Self-NET solutions. In parallel, simulation campaigns shall verify the scalability and performance sustainability of Self-NET artefacts.

Keywords: future internet,network management,cognitive,self-management,reconfiguration,knowledge management
Development of low-cost technologies for the fabrication of high-performance telecommunication lasers (DELIGHT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Finland,Germany,Germany,Italy,France,Israel,Poland,Germany
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-09-01
End date: 2012-07-31
Duration (months): 47.0
Total project cost (EUR): 4668233.0
EU funding (EUR): 3300000.0
Participants: 11
Project status: CLOSED

The “Development of low-cost technologies for the fabrication of high-performance telecommunication lasers” project has two main objectives: (1) Development of high-performance surface-grating-based DFB/DBR telecommunication lasers (2) Development of ultra-high speed directly modulated lasers (> 40 GBit/s) with a simplified multi-section design, which exploit high-order photonic resonances for extending the modulation bandwidth. The project approach is to develop a common technological fabrication platform for both types of lasers based on surface gratings and other surface micro- and nano-structures. One important advantage in using surface structuring for increasing the performances and functionality of edge-emitting lasers is the elimination of the regrowth stage, which adds to the fabrication cost, affects the laser performances (notably the reliability and the characteristics shift in time) and reduces yield. The surface micro- and nano-structures will be imprinted by the low-cost and high-yield nanoimprint lithography, which will contribute to reducing the fabrication cost. The developed surface-oriented technology will be largely independent on the underlying semiconductor structure and will be applied for the fabrication of InP- and GaAs-based edge-emitting lasers (EELs) working in the 1300 and 1550 nm ranges. Although advanced materials (like dilute nitrides and antimony-containing dilute-nitrides) as well as low-dimensional structures (quantum dots and quantum dashes) will be investigated for developing the active regions of the lasers, the surface-oriented technology will be directly applicable to epitaxial layer structures already developed and tested in regular Fabry-Perot telecommunication EELs. Thus the developed surface-oriented approach will have the unique advantage of enabling the fabrication of higher-performance lasers from already tested and qualified ‘legacy’ epiwafers.

Keywords: dbr,surface gratings,high-speed modulation,nanoimprint,dilute-nitride,inp,quantum dots
Distributed Supervisory Control of Large Plants (DISC)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Italy,Netherlands,Belgium,Germany,Spain,France,Italy,Czechia,Belgium,Germany
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-09-01
End date: 2011-08-31
Duration (months): 40.0
Total project cost (EUR): 2742707.0
EU funding (EUR): 1900000.0
Participants: 11
Project status: CLOSED

Supervisory control is a formal approach for the control of discrete event systems that aims to solve logical problems of safety, resource allocation, liveness, and fault diagnosis that can be encountered in all systems with a high degree of automation. It provides a conceptual framework for developing methods and tools for system design. An open issue is the application of this methodology to those control problems that arise in networked embedded systems. These distributed plants are composed by several local agents that take concurrently decisions, based on information that may be local or received from neighbouring agents; they require scalable and self-organising platforms for advanced computing and control.. An important feature of this type of processes is the possibility of studying them at an appropriate level of abstraction where the resulting model is a purely discrete event one. The evolution is guided by the occurrence of asynchronous events, as opposed to other real-time models where the event occurrence is time-triggered. We plan to use several techniques to reduce the computational complexity that is one of the major obstacles to the technology transfer of supervisory control methodologies to distributed plants. These techniques are: modularity in the modelling and control design phases; coordinating control; modular state identification and modular fault detection based on the design of decentralized observers; fluidisation of discrete event dynamics to reduce state space cardinality. All the partners have been very active in this area and in many cases bilateral collaborations are already active. The idea of the project is to: - provide a forum for the discussion and dissemination of results; - develop a common software platform; - apply the developed methodologies to meaningful cases study provided by industrial partners and contacts.

Keywords: discrete event systems,supervisory control,distributed systems,fault diagnosis
Distributed Control of Large-Scale Offshore Wind Farms project proposal (AEOLUS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Denmark,Sweden,Croatia,Netherlands,Denmark,United Kingdom
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-05-01
End date: 2011-09-30
Duration (months): 41.0
Total project cost (EUR): 3372837.0
EU funding (EUR): 2500000.0
Participants: 6
Project status: CLOSED

A key socio-economic challenge for Europe is: how to deal with a climate change, while meeting rapidly increasing demand for energy and ensuring security of supply? Wind energy can be a significant part of the answer. The new frontier of the wind industry is large-scale offshore wind farms. While promising, considerable research and development tasks remain to be carried out before it reaches its full potential in terms of the efficient, stable, safe, predictable and controllable supply of energy. Closed loop control of wind power installations has historically been decentralized and a collection of wind turbines in farms is a highly complex system with interdependencies through the shared resource, the wind. Wind turbines are affected by the wind but they also changes the wind field within the farm through the control. To address objectives related to cost, quality of power and mechanical loads, models and control paradigms must be developed that allow wind resource allocation to individual turbines. Inspired by the industrial case of complex large-scale distributed offshore wind farms, the Aeolus project will research and develop models that allow real-time predictions of flows and incorporate measurements from a set of spatially distributed sensor devices. In Aeolus we will use the flow information as a basis for new control paradigms, centralized and distributed that acknowledges the uncertainty in the modelling and dynamically manages the flow resource in order to optimise specific control objectives. The model and control principles are used for control of a wind power farm to increase energy quality and reduce the fatigue loads. The usefulness of our techniques will be validated on a case study and by physical experiments on a scaled wind power farm.

Keywords: distributed control,optimisation,wind power,model predictive,fluid dynamics,estimation,computational flows
Array of Robots Augmenting the KiNematics of Endoluminal Surgery (ARAKNES)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Italy,United Kingdom,Switzerland,Germany,United Kingdom,Spain,France,Germany
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-05-01
End date: 2012-10-31
Duration (months): 54.0
Total project cost (EUR): 11205672.0
EU funding (EUR): 8100000.0
Participants: 11
Project status: CLOSED

ARAKNES stems from the innovative idea to transfer the technologies of bi-manual laparoscopic surgery to the endoluminal surgical approach, thus further reducing the operative trauma and enhancing the therapeutic outcome of minimally invasive surgical procedures for morbid obesity and gastro-esophageal reflux. The worldwide number of bypass surgeries for obesity is predicted to rise up to 1.3 million by 2015, hence the social and industrial impact of ARAKNES is considerable. In particular, European health-systems can benefit from major reductions in costs and hospitalisation periods, the effects of which translate directly to improvements in the quality of life for many EU citizens. Through SandT excellence in micro-robotics and micro-system technologies, ARAKNES will facilitate the combination of current state-of-the-art and breakthrough innovations focusing on integrated micro-nano-bio-info devices. Specifically ARAKNESS will exploit the convergence of: - established laparoscopic techniques; - over 20 years of clinical experience with robotic and computer assisted surgery; - the maturity of micro-, nano- and bio-technologies; - the trend towards wireless, wearable and swallowable devices. This combination enables the conception of a comprehensive micro-robotic based smart operating system for advanced endoluminal surgery, which will reform established endoluminal techniques. The objectives and impact of ARAKNES are broad and ambitious. Consequently, they require a 4-year European project in the format of an IP managed by a strong and committed Consortium. The ARAKNES Consortium is a unique blend of European pioneers in all the involved disciplines (surgery, robotics, information technologies, micro- and nano-technologies) which have the vision, the commitment and the capabilities to make ARAKNES successful in terms of scientific innovation, industrial demonstrations and, ultimately, clinical application.

Keywords: microrobots,microtechnologies,teleoperation,human machine interface,endoluminal,surgery
Development of Advanced Technology Roadmaps in Photonics and Industrial Adaption to SMEs (PHOTONICROADSME)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Coordination and support actions
Countries involved: Germany,France,France,Spain,Germany,Poland,Spain,Germany,Finland
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-05-01
End date: 2010-09-30
Duration (months): 29.0
Total project cost (EUR): 825023.0
EU funding (EUR): 799981.0
Participants: 11
Project status: CLOSED

In the next ten years scientific developments in the field of nanophotonics as a key driving force in photonics will influence many different industrial branches e.g. automotive and avionics, industrial automation ICT, health and well-being, environment or safety and security. In these industrial sectors many SMEs are involved as traditional suppliers, start-ups or producers of high tech products. In order to remain competitive on these markets, the companies have to integrate these new results and developments in their commercial vision for future products. The project PhotonicRoadSME will develop technology roadmaps roadmaps to identify future RTD strategies for Europe in three domains [related nanophotonic materials / novel photonic devices and components / related key fabrication technologies] comprising the latest high level scientific results. Their functions will be a. to identify trends in research and development and b. to associate them to product and application visions. They will outline, which of them are technically and economically promising or possess high potentials for problem-solving and where potential risks and relevant investigation requirements are assumed or social discussion requirement could prevail. Therefore, four different industrial branches will be analyzed (ICT, health and well-being, environment and safety and security). The validation of the roadmap results will be done by a consensus building process by integrating industrial and scientific experts from Europe and third countries. In a second step these roadmaps will be adapted to the SME industrial culture in order to facilitate the integration of the European photonic RTD results in the different industrial branches. The project involves well-known European research organisations and networks, which are leaders in the domain of photonics, European experts in the development of technology roadmaps and organisations from 5 European countries.

Keywords: photonics,rtd strategies,roadmapping,smes
Nano-Actuators and Nano-Sensors for Medical Applications (NANOMA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: France,Switzerland,Germany,Greece,Cyprus
Call:  (FP7-ICT-2007-2, 2007)
Start date: 2008-06-01
End date: 2011-09-30
Duration (months): 40.0
Total project cost (EUR): 3893507.0
EU funding (EUR): 2459941.0
Participants: 9
Project status: CLOSED

The NANOMA project aims at proposing novel controlled nanorobotic delivery systems which will be designed to improve the administration of drugs in the treatment and diagnosis of breast cancer. Breast cancer is diagnosed in 1.2 million men and women globally every year and kills 500,000. The NANOMA project proposes a magnetic nanocapsule steering approach that relies on improved gradient coils for Magnetic Resonance Imaging (MRI) systems. MRI systems also provide concentration and tracking information, real-time interventional capabilities and are already widespread in hospitals. It is based on fundamental techniques and methods for the propulsion, navigation and effective targeted delivery of coated ferromagnetic capsules in the cardiovascular system through the induction of force from magnetic gradients generated by a clinical MRI. This proposed NANOMA platform will be a valuable tool to help enhance the efficiency of breast cancer treatments while improving patients recovery time. The project rests on the pillar of six work packages (WPs) , which are further divided into subprojects (SPs). Substantial RandD activities are carried out in WP1-WP4 with the goal to design, model and control the microcapsule. In WP5-WP6 new biocarriers and biosensors made of ferromagnetic particles and special functionalized materials reacting to environmental changes in infected cancer cells are being investigated. As proof-of-concept, an in-vivo breast cancer cell detection platform is realized and evaluated in WP7. WP8 deals with the effective Europe-wide exploitation and dissemination of the project results. Finally, WP9 manages the project. The project consortium gives almost a guarantee for the project’s success.

Keywords: nanorobotics - nanotechnology - drug delivery - carbon nanotube capsules - magnetic resonance magnetic steering - functionalization of nanomaterial -