Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
FLexible Architecture for Virtualizable wireless future Internet Access (FLAVIA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: Italy,United Kingdom,Spain,Israel,Ireland,France,Poland,Russian Federation
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-07-01
End date: 2013-06-30
Duration (months): 36.0
Total project cost (EUR): 6088414.0
EU funding (EUR): 3933886.0
Participants: 11
Project status: CLOSED

Wireless networks importance for the Future Internet is raising at a fast pace as mobile devices increasingly become its entry point. However, today&apos;s wireless networks are unable to rapidly adapt to evolving contexts and service needs due to their rigid architectural design. We believe that the wireless Internet’s inability to keep up with innovation directly stems from its reliance on the traditional layer-based Internet abstraction. Especially, the Link Layer interface appears way too abstracted from the actual wireless access and coordination needs. FLAVIA fosters a paradigm shift towards the Future Wireless Internet: from pre-designed link services to programmable link processors. The key concept is to expose flexible programmable interfaces enabling service customization and performance optimization through software-based exploitation of low-level operations and control primitives, e.g., transmission timing, frame customization and processing, spectrum and channel management, power control, etc. FLAVIA’s approach is based on three main pillars: i) lower the interface between hardware-dependent layers and upper layers, ii) apply a hierarchical decomposition of the MAC/PHY layer functionalities, and iii) open programmable interfaces at different abstraction levels. To prove the viability of this new architectural vision, FLAVIA will prototype its concept on two wireless technologies currently available, 802.11 and 802.16, representing today’s two main radio resource allocation philosophies: contention-based and scheduled. Moreover, FLAVIA will assess the applicability of the proposed architecture concepts to the emerging 3GPP standards. FLAVIA’s concept will allow boosting innovation and reducing the cost of network upgrades. Operators, manufacturers, network designers, emerging third-party solution developers, and even spontaneous end users, will be able to easily and rapidly optimize and upgrade the wireless network operation, quickly prototype and test their new protocols, and adapt the wireless access operation to emerging scenarios or service needs.

Keywords: wireless network,wireless technologies,flexibility,virtualization
FLEXIBLE MICROSYSTEM TECHNOLOGY FOR MICRO- AND MILLIMETRE-WAVE ANTENNA ARRAYS WITH INTELLIGENT PIXELS (FLEXWIN)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Germany,Italy,United Kingdom,Germany,Germany,Sweden,Italy
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2014-04-30
Duration (months): 43.0
Total project cost (EUR): 4548513.0
EU funding (EUR): 3100000.0
Participants: 8
Project status: CLOSED

FLEXWIN proposes a significant advance towards smart RF microsystems by combining 1.) an RFMEMS switch process monolithically integrated with a Si/SiGe BiCMOS process, 2.) highly reconfigurable mm-wave building blocks, able to be used over a broad frequency range and for different applications, 3.) a new RF-system design paradigm built around the concepts of reusability, multifunctionality and reconfigurability and 4.) environmental sensing and control built into multifunctional RF ICs with digital control. As a first demonstrator of the proposed highly innovative FLEXWIN technology platform, a smart reflectarray architecture for broadband communication links will be realized. In fact, the core FLEXWIN ICs will be used as intelligent pixels providing spatial power combining with full individual amplitude and phase settings of each pixel in transmit and receive mode controlled by a serial bus. Together with the monolithic integration of the environmental sensors on the very same IC, it dramatically reduces the antennas control system complexity providing significant advances in RF frontend adaptability. The validity of the design paradigm will be further explored in two reconfigurable IC demonstrators using the RF MEMS SiGe BiCMOS technology and deliberately spaced in the radio spectrum: reconfigurable “commodity” building blocks up to 5 GHz, addressing mobile and wireless data applications, and for the 30-64 GHz range, addressing point-to-point, and emerging wireless LAN applications. Overall, FLEXWIN will demonstrate enhanced and smart capabilities of mm-wave systems due to built-in intelligence allowing convenient and flexible control of important parameters, and the use in harsh environments due to built-in sensing and autonomous parameter adjustment in each module. Further, it will establish reconfigurable multi-functional millimetre-wave ICs as an off-the-shelf commodity which will ease mm-wave system implementation and shorten the time-to-market.

Keywords: heterointegrated rf-mems sige bicmos technology platform phased array antenna with intelligent pixel reconfigurable multi-use ics
Development of a Smart Integrated Miniaturised Sensor System for analytical challenges in diagnostics, industry and the environment (SIMS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: United Kingdom,United Kingdom,Finland,Ireland,Germany,Austria
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-09-01
End date: 2014-02-28
Duration (months): 42.0
Total project cost (EUR): 3851152.0
EU funding (EUR): 2949525.0
Participants: 8
Project status: CLOSED

The widespread availability of smart miniaturised systems is limited by the inability to integrate a sufficient number of functionalities into a single device at low cost and high volume using traditional production technologies. Organic, flexible and printed electronics (OFPE) offers this possibility. However, it too must overcome some significant challenges relating to device interfacing and fabrication. Key among these is the availability of subsystems (sensors, displays, power and circuitry) suitable for integration through OFPE, as well as the ability to combine these components through compatible processes. SIMS will develop a smart, miniaturised sensing system through the integration of a nanosensor, printed low cost display, mobile phone interface and printed battery with organic circuitry. Integration will take place on a single substrate employing photolithography, screen and ink jet printing and lamination. SIMS will be a platform technology. Its broad potential, including industrial and environmental monitoring, will be illustrated through the sensitive detection of hydrogen peroxide. However, due to the scale of the diagnostics market and its relevance to the partners, SIMS will focus on the quantitative measurement of cholesterol. SIMS will be low cost, disposable, and free from instrument calibration and maintenance. It will vastly expand the opportunities for distributed testing, creating new markets through innovative retailing opportunities. Increased testing will result in benefits to the health and the environment of people in Europe and beyond. The SIMS consortium includes three leading academic groups covering device physics, electroanalytical chemistry, materials science, electronic and production engineering, as well as two innovative SMEs in the full value chain from speciality materials suppliers, through mass producers, and to a global company in diagnostics with worldwide distribution networks.

Keywords: smart miniaturised system,heterogeneous integration,single substrate,nanosensor,electrochromic display,printed battery,organic circuitry,hydrogen peroxide,biomedical diagnostics,environmental
Building service testbeds on FIRE (BONFIRE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: Spain,United Kingdom,Germany,Germany,Germany,Spain,United Kingdom,United Kingdom,Germany,United Kingdom,France,Poland,Italy,Ireland,Spain,Belgium,Spain,Greece,Hungary,United Kingdom,Belgium,Ireland
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-06-01
End date: 2013-12-31
Duration (months): 43.0
Total project cost (EUR): 9914782.0
EU funding (EUR): 7200000.0
Participants: 26
Project status: CLOSED

BonFIRE will design, build and operate a multi-site Cloud prototype FIRE facility to support research across applications, services and systems at all stages of the R&amp;D lifecycle, targeting the services research community on Future Internet. The BonFIRE vision is to give researchers in these areas access to a facility that supports large scale multi-disciplinary experimentation of their systems and applications addressing all aspects of research across all layers. We will develop and support a framework which allows service-based computing practitioners to experiment with their latest ideas in service orientation and distributed computing. We have elaborated 3 usage scenarios. Our overall goal is to encourage new communities of experimenters to take advantage of the opportunities offered by the FIRE infrastructure to guide the development of the Future Internet from a service-based applications standpoint. The facility will be demand-driven, open, standards-based and dynamic. It will provide additional functionality to that currently available. It will adopt the principle of &quot;open coordinated federation of testbeds&quot; and will provide innovative usage scenarios. We will stimulate research through 2 open calls to establish a methodology of experimentally driven research. The facility shall be open not only to the researchers selected and funded by BonFIRE through the open calls but also to a wider researcher community in order to encourage the usage and involvement of a significant number of end users. We have set the ambitious target of having an initial framework in operation by month 9. This will be followed by periodic updates which will enhance the functionality of BonFIRE in response to user requirements. We aim to make the testbed sustainable after the end of the project by studying possible associated business models and by balancing the short- and long-term interests of all interested parties (users, owners, policy makers etc) in business decision-making.

Keywords: experimental facility,cloud computing,fire,virtualisation,infrastructure as a service
Advanced predictive-analysis-based decision-support engine for logistics (ADVANCE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: Hungary,United Kingdom,Netherlands,Italy,United Kingdom
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-09-30
Duration (months): 36.0
Total project cost (EUR): 3166908.0
EU funding (EUR): 1980000.0
Participants: 5
Project status: CLOSED

Logistics networks accumulate OVER 1 BILLION new items of information per month (customer orders, pallet-vehicle movement, GPS data, postcodes, depot data, etc.), generated every minute of each day by thousands of pallets travelling on hundreds of trailers for more than one million customers under hundreds of thousands of postcodes, each with multiple different service requirements. Patterns and dependencies in 50 million or more data elements can only be analysed by intelligent data-mining approaches linked to strategic decision making based on longer term analyses of billions of pieces of information. ADVANCE will develop an innovative predictive-analysis-based decision support platform for novel competitive strategies in logistics operations. The ADVANCE software will have the capacity to both analyse massive data sets for long term planning, and rapidly process huge amounts of new data in real time. It will provide a dual perspective on transport requirements and decision making dependent on the latest snapshot information and the best higher-level intelligence. We will employ data mining, machine learning and optimisation techniques (heuristics, ant colony optimisation, evolutionary algorithms) to aggregate structured but locally confined data, and extract actionable information to improve local dispatching decisions (deadheading minimisation, early detection of missed due-dates, forecast of expected partnership modification, etc.). As a key to incorporating appropriate end-user perspectives and enabling users to interpret and assess automatically suggested decisions, ADVANCE will integrate human expertise (through cognitive modelling; Bayesian belief networks) with data mining algorithms and distributed data mining in particular. Industrial implementations will have a networked enterprise group as main piloting partner, involving three different operational and decision levels, and including multiple independent companies on the local distribution levels.

Keywords: decision support for networked enterprises,information sharing,processing massive operational data,semantic interpretation,model building,predictive analysis,socio-technical system
MAnagement of Security information and events in Service InFrastructures (MASSIF)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: Spain,Italy,Italy,France,Germany,Portugal,Russian Federation,South Africa,France
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-09-30
Duration (months): 36.0
Total project cost (EUR): 8500881.0
EU funding (EUR): 5950000.0
Participants: 12
Project status: CLOSED

The main objective of MASSIF is to achieve a significant advance in the area of Security Information and Event Management (SIEM). On the base of proper multi-level event correlation MASSIF will provide innovation techniques in order to enable the detection of upcoming security threats and trigger remediation actions even before the occurrence of possible security incidences. Thus, MASSIF will develop a new generation SIEM framework for service infrastructures supporting intelligent, scalable, and multi-level/multi-domain security event processing and predictive security monitoring. Such service-level SIEM involves the modelling and formal validation of security, including trusted computing concepts (Fraunhofer), architecture for dependable and resilient collection of service events (Uni. Lisboa), supported by an extremely scalable and performant event collection and processing framework (UPM), in the context of service-level attack models (SPIIRAS). Four industrial domains serve as a source for requirements and to validate and demonstrate project results: (i) Olympic Games IT infrastructure deployed and managed by Atos Origin; (ii) France Telecom scenario on &quot;Mobile phone based money transfer service&quot; facing security events, especially for the &quot;non-IT&quot; and &quot;service&quot; events; (iii) T-Systems South Africa provides managed IT outsource services with a high degree of complexity in setting up SIEM systems for large distributed enterprises; and (iv) Epsilon (an SME) will demonstrate the use of the advanced concepts of SIEM in an IT system supporting a critical infrastructure (dam). Deep insight into the current and near future industrial state-of-art is provided by (1) AlienVault, as the creator and maintainer of the leading open source SIEM product (OSSIM), (2) Integration of MASSIF results into Prelude (second largest open source SIEM product) by Institut Telecom, and (3) Use and Deployment of huge installations of commercial SIEM products.

Keywords: siem,security management,services,soa
Knowledge Helper for Medical and Other Information users (KHRESMOI)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: Switzerland,Spain,France,Bulgaria,Ireland,Germany,Czechia,United Kingdom,Austria
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-09-01
End date: 2014-08-31
Duration (months): 48.0
Total project cost (EUR): 10557043.0
EU funding (EUR): 8035729.0
Participants: 13
Project status: CLOSED

In KHRESMOI, we will build a multi-lingual multi-modal search and access system for biomedical information and documents. This will be achieved by: - Effective automated information extraction from biomedical documents, including improvement using crowd sourcing and active learning, and automated estimation of the level of trust and target user expertise - Automated analysis and indexing for medical images in 2D (X-Rays), 3D (MRI, CT), and 4D (fMRI) - Linking information extracted from unstructured or semi-structured biomedical texts and images to structured information in knowledge bases - Support of cross-language search, including multi-lingual queries, and returning machine-translated pertinent excerpts - Adaptive user interfaces to assist in formulating queries and display search results via ergonomic and interactive visualizations The research will flow into several open source components, which will be integrated into an innovative open architecture for robust and scalable biomedical information search. The system will be evaluated in use cases by three well-defined user groups: 1. Members of the general public want access to reliable and understandable medical information in their own language 2. Clinicians and general practitioners need accurate answers rapidly – a search on PubMed requires on average 30 minutes, while clinicians typically have 5 minutes available. Furthermore, over 40% of searches fail to provide relevant information 3. Radiologists are drowning in images – at larger hospitals over 100GB (over 100000 images) are produced per day Representative groups of end users are available for sizable evaluations, accessed through a medical search engine with 11000 queries per day, a professional association of 2700 medical doctors, and two radiology departments with 175 radiologists. KHRESMOI is directed at Objective ICT-2009.4.3: Intelligent Information Management. It will focus on target outcome (a) capturing tractable information.

Keywords: medical information retrieval,multilingual information access,multimedia and multimodal information management,large-scale 3d,4d datasets
Lower Bounds and Identity Testing for Arithmetic Circuits (LBITAC)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: Israel
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-03-01
End date: 2017-02-28
Duration (months): 72.0
Total project cost (EUR): 1427485.0
EU funding (EUR): 1427485.0
Participants: 2
Project status: CLOSED

The focus of our proposal is on arithmetic circuit complexity. Arithmetic circuits are the most common model for computing polynomials, over arbitrary fields. This model was studied by many researchers in the past 40 years but still not much is known on many of the basic problems concerning this model. In this research we propose to study some of the most exciting fundamental open problems in theoretical computer science: Proving lower bounds on the size of arithmetic circuits and finding efficient deterministic algorithms for checking identity of arithmetic circuits. Proving a strong lower bound or finding efficient deterministic algorithms to the polynomial identity testing problem are the most important problems in algebraic complexity and solving either of them will be a dramatic breakthrough in theoretical computer science. The two problems that we intend to study are closely related to each other - there are several known results showing that a solution to one of the problems may lead to a solution to the other. Thus, we propose to study strongly related problems that lie in the frontier of algebraic complexity. Any advance will be a significant contributions to the field of theoretical computer science.

Keywords: computational complexity,algebraic complexity,arithmetic circuits,polynomial identity testing,bounded depth circuits
Advanced coexistence technologies for radio optimisation in licensed and unlicensed spectrum (ACROPOLIS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Network of Excellence
Countries involved: United Kingdom,Italy,Greece,Germany,Poland,Germany,Sweden,North Macedonia,Spain,European organisations area,Poland,France,United Kingdom,Germany
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-12-31
Duration (months): 39.0
Total project cost (EUR): 4147062.0
EU funding (EUR): 3000000.0
Participants: 16
Project status: CLOSED

Wireless communications, perpetually a source of innovation, is entering new and uncharted territory. In order to enhance system performance and cater for the services and applications of the future, there is the need for cooperative and cognitive communications paradigms that support advanced coexistence technologies for radio optimization. In short, wireless communications is moving towards a disruptive phase, where the speed and capability of interdisciplinary knowledge integration, for systems cooperation and coexistence, becomes a requirement for survival. This needs new thinking, and the development of architectures and facilitators for novel flexible radio technologies. To account for this paradigm shift and position Europe to benefit most from it, experts in areas of cooperation and coexistence, comprising but not limited to realms such as cognitive radio, cognitive networking and flexible networking, must integrate and harmonize their agendas. Through this approach, to paraphrase a common adage, “the whole will become stronger than the sum of the parts”. Moreover, there is the need to produce a next generation of European researchers, with the right skills-sets to solve the challenges of optimisation for cooperative and coexisting wireless systems. The ACROPOLIS NoE is specifically designed to meet these challenges; it has a strong, interdisciplinary, joint-research agenda, fostering rapid innovation that is of the highest quality and is able to bridge the gaps in European research. Its structure allows it to react rapidly to changes in the research landscape, where integration of research activities to achieve critical mass, and spreading of excellence throughout industry, other research organisations and elsewhere, are at the very heart of its formulation and ideals. To summarise, ACROPOLIS fosters relevant European excellence in research and education, and through the amalgamation of this strives to achieve new heights that would otherwise be impossible.

Keywords: cognitive radio,network of excellence