Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Combining Optics and SDN In next Generation data centre Networks (COSIGN)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Denmark,Italy,Spain,United Kingdom,United Kingdom,United Kingdom,Netherlands,Israel,Denmark,United Kingdom
Call:  (FP7-ICT-2013-11, 2013)
Start date: 2014-01-01
End date: 2017-03-31
Duration (months): 39.0
Total project cost (EUR): 9981392.0
EU funding (EUR): 6942000.0
Participants: 14
Project status: CLOSED

The role of Data Centres (DCs) is vital for the Future Internet. However, DC infrastructures are already stressed by data volumes and service provisioning and consumption trends. Emerging demands cannot be addressed by today's DCs and call for a massive redesign or even transformation of DC architectures.COSIGN proposes a new DC architecture empowered by advanced optical technologies and will demonstrate novel solutions capable of sustaining the growing resource and operational demands of next generation DC Networks. COSIGN aims to move away from today's vendor specific, manually controlled, performance and scale limited DCs towards scalable DC solutions able to support future-proof dynamic, on-demand, low-latency, energy efficient and ultra-high bandwidth DC solutions. COSIGN introduces disruptive transformations in the data plane, significant advances to the control plane and major innovations in the DC virtualization and service orchestration:• In the DC Data Plane, COSIGN will deliver an entirely-optical solution enabling scalable top-of-rack switches, ultra-low latency and high volume DC interconnects with high spatial dimensioning.• In the DC Control Plane, COSIGN will build upon and extend the Software Defined Networks (SDN) paradigm leveraging capabilities from high-performance optical technologies while developing technology agnostic protocols for software/user defined routing and control. • For the DC Management and Orchestration, COSIGN will implement a coherent framework for optical network and IT infrastructure abstraction, virtualization and end-to-end service orchestration.COSIGN brings together a unique combination of skills and expertise able to deliver, for the first time, a coordinated hardware and software architecture, which will guarantee the scale and performance required for future DCs. Results will be demonstrated in challenging industrial setting, leveraging a DC validation platform from Interoute – a leading European service provider

Keywords: data center,software define network,virtualization,service orchestration,low-latency,optical,high capacity,swicthing
Software-defined energy-efficient Photonic transceivers IntRoducing Inteligence and dynamicity in Terabit superchannels for flexible optical networks (SPIRIT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Greece,Germany,Belgium,Germany,Italy
Call:  (FP7-ICT-2013-11, 2013)
Start date: 2013-12-01
End date: 2017-05-31
Duration (months): 42.0
Total project cost (EUR): 4093014.0
EU funding (EUR): 2870000.0
Participants: 8
Project status: CLOSED

Bandwidth‐hungry end‐user applications are stretching physical layer capacity and dictating the migration towards software-defined flexible architectures. Fully-programmable optical components supporting rate- and format-adaptation are urgently needed.SPIRIT will fabricate low-cost, energy-efficient flexible transceivers that are capable of gridless operation and are compatible with both current and future applications. Single- and multi-carrier (OFDM) QAM formats will be supported up to a spectral efficiency of 16 bits/s/Hz (DP-256-QAM), for throughputs of up to 1Tbit/s from a single-package transceiver. Interfacing to an external FPGA will allow dynamic adjustment of the symbol rate (up to 32GBaud) and modulation format. Novel segmented-electrode InP IQ-MZMs with Vπ≈1V will be developed. This allows direct digital drive using mature, high-yield CMOS electronics; SPIRIT will therefore benefit from the dominant technology in IC fabrication, constituting a cost-effective, ultra-low-power solution. On‐chip, 5-bit multi-level functionality will enable arbitrary optical waveform generation and transmitter-side DSP. Record-low power consumption (1.8W per MZM arm) for a device of this resolution is targeted. Compared to current transmitters, more than 50% power consumption reduction is expected for 400G and 1T applications.The CMOS electronics and InP photonics will be integrated on a SOI platform, including coherent receivers and a novel, flexible MUX/DEMUX based on micro-ring filters, enabling spectrally efficient aggregation/segmentation of superchannels. The latter will be tunable across the entire C-band for truly gridless operation and fine-granularity spectrum slicing.SPIRIT will introduce intelligence in the optical layer. It envisages development of a software-defined network emulation platform that includes DSP performance monitoring for QoS management at the physical layer.Participation by industry leaders ensures a clear commercial exploitation path.

Keywords: elastic optical networks,flexible transceivers,low-cost,energy efficiency,photonic integration,software defined optics,cmos,silicon photonics,inp,qam,ofdm
Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics (LEANBIGDATA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Spain,Spain,Greece,Portugal,Greece,Ireland,Italy
Call:  (FP7-ICT-2013-11, 2013)
Start date: 2014-02-01
End date: 2017-01-31
Duration (months): 36.0
Total project cost (EUR): 6023777.0
EU funding (EUR): 3905000.0
Participants: 12
Project status: CLOSED

LeanBigData aims at addressing three open challenges in big data analytics: 1) The cost, in terms of resources, of scaling big data analytics for streaming and static data sources; 2) The lack of integration of existing big data management technologies and their high response time; 3) The insufficient end-user support leading to extremely lengthy big data analysis cycles. LeanBigData will address these challenges by:•Architecting and developing three resource-efficient Big Data management systems typically involved in Big Data processing: a novel transactional NoSQL key-value data store, a distributed complex event processing (CEP) system, and a distributed SQL query engine. We will achieve at least one order of magnitude in efficiency by removing overheads at all levels of the big-data analytics stack and we will take into account technology trends in multicore technologies and non-volatile memories. •Providing an integrated big data platform with these three main technologies used for big data, NoSQL, SQL, and Streaming/CEP that will improve response time for unified analytics over multiple sources and large amounts of data avoiding the inefficiencies and delays introduced by existing extract-transfer-load approaches. To achieve this we will use fine-grain intra-query and intra-operator parallelism that will lead to sub-second response times.•Supporting an end-to-end big data analytics solution removing the four main sources of delays in data analysis cycles by using: 1) automated discovery of anomalies and root cause analysis; 2) incremental visualization of long analytical queries; 3) drag-and-drop declarative composition of visualizations; and 4) efficient manipulation of visualizations through hand gestures over 3D/holographic views.Finally, LeanBigData will demonstrate these results in a cluster with 1,000 cores in four real industrial use cases with real data, paving the way for deployment in the context of realistic business processes.

Keywords: complex event processing,data streaming,nosql data stores,query processing,distributed systems,elasticity,scalability,transactional processing,sql databases
Smart ICT-enabled Rural Grid innovating resilient electricity distribution infrastructures, services and business models (SMARTRURALGRID)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Collaborative project
Countries involved: Spain,Germany,Germany,Ireland,Norway
Call:  (FP7-ICT-2013-11, 2013)
Start date: 2014-02-01
End date: 2017-07-31
Duration (months): 42.0
Total project cost (EUR): 4944690.0
EU funding (EUR): 3239539.0
Participants: 8
Project status: CLOSED

The Smart_Rural_Grid project is aimed at developing an innovative smart grid approach targeted to the particular conditions of rural electricity distribution networks. The project will devote particular attention to highlight the differentiated specificities of rural electricity distribution and will target the need of gaining substantial improvements in terms of efficiency, quality and network resilience, favouring the introduction of new innovative business models in support of rural DSO’s operations and of their future economic and industrial sustainability. By exploring the convergence between electricity and telecom networks, the project is focused on the needs and visions for the future of DSOs’ with rural networks, and intends to face a systemic development of rural smart grids aimed at allowing DSOs to operate more efficiently, integrate local renewable electricity sources, interconnect prosumers and increase and guarantee the quality of electricity supply by allowing forming resilient and manageable electricity islands. The project will pave the way for new industrial opportunities for the production and deployment of new industrial products (systems and devices) as well as services for electricity distribution and network management and control, framed by a novel improved electricity distribution network management architecture. The project key impacts are directly related with the delivery of significant cost and investment savings in rural electricity distribution (by overall reducing the percentage of electricity lost during electricity distribution and the gap between electricity generated and electricity consumed) also allowing for an increase potential to inherently accommodate the integration and distribution of renewable electricity sources and Combined Heat and Power (CHP), particularly of those connected to the distribution grid and of locally co-generated electricity (including prosumers) generated in vast rural territories.

Keywords: smart grid,rural smart grid,distribution power router,electrical network resilience,virtual power plant,esco,power line carrier,wireless communications,quality of service
Online Network TraffIc Characterization (ONTIC)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Spain,Italy,France,Spain,Greece
Call:  (FP7-ICT-2013-11, 2013)
Start date: 2014-02-01
End date: 2017-01-31
Duration (months): 36.0
Total project cost (EUR): 3582235.0
EU funding (EUR): 2486968.0
Participants: 7
Project status: CLOSED

Accurate identification and categorization of network traffic is a crucial task in many network management and engineering activities, such as QoS evaluation, capacity planning and attack detection. Terabytes of data may be transferred through the core network of a typical ISP every day, and an exponential growth in traffic is expected in the short-term, with more than 50 billions of Internet-connected devices. This scenario represents a tough challenge for network data capture and analysis. An accurate and massively scalable platform for both online and offline characterization of network traffic pattern evolution is a key element in facing the challenge. Top applications benefitting from such a platform include proactive congestion control mechanisms and intrusion detection systems. To this end, the ONTIC project proposes to design, develop and evaluate: 1) A novel architecture of massively-scalable online techniques able to (a) characterize network traffic data streams, identifying traffic pattern evolutions, and (b) proactively detect anomalies in real time at very high network speeds, i.e., hundreds of thousands of packets per second. 2) An innovative set of massively-scalable offline data mining techniques to characterize network traffic, exploiting big-data analytic approaches and cloud-based distributed computation paradigms on extremely large network traffic datasets. ONTIC will integrate these techniques into an autonomous network traffic characterization platform, to be used as cornerstone of a new generation of scalable and proactive network management and analysis applications. Dissemination and adoption of project outcomes in other application domains (e.g. bioinformatics, medicine, physics, social sciences, and finances) will be fostered by releasing the code and documentation of the ONTIC framework to the public by means of popular open-source repositories.

Keywords: scalability,machine learning,big data,traffic characterization,data analytics
GoPhoton! - Photonics for everyone (GOPHOTON!)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Coordination and support actions
Countries involved: Spain,United Kingdom,Belgium,Germany,Italy,France,Ireland,Slovakia
Call:  (FP7-ICT-2013-11, 2013)
Start date: 2014-01-01
End date: 2016-02-29
Duration (months): 26.0
Total project cost (EUR): 972221.0
EU funding (EUR): 880000.0
Participants: 8
Project status: CLOSED

The mission of this project is to make a significant contribution to raising awareness about the importance of Photonics, aiming at having impact on young minds, entrepreneurs and society as a whole. GoPhoton! aims to transmit a critical message across Europe: Photonics is ubiquitous and pervasive, it is a key enabler of the European economy and job creation, and it offers outstanding career and business opportunities. The project intends to address these challenges through a series of actions that will be developed through a collaborative network, the European Centres for Outreach in Photonics (ECOP), an alliance committed to creating durable long-term partnerships for enhanced engagement in Photonics outreach. The project aims at strongly involving the relevant European stakeholders, seeking synergies with Photonics 21, the industrial clusters and educational networks, and a possible International Year of Light in 2015. The existing tight links of the project partners with the local educational networks (teachers and science museums) will be extensively used and amplified to engage youth. Communication specialists and media will play a critical role as multipliers of the message to make Photonics a household word and to reach out the general public.

Keywords: photonics for everyone,photonics outreach,outreach in photonics,educational outreach,industrial outreach,photonics for youth,photonics for entrepreneurs
Tools for Competence-Centred, Multi-Source Learning Analytics (LEAS BOX)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Creativity and Learning
Action type: Collaborative project
Countries involved: Austria,United Kingdom,Czechia,Türkiye
Call:  (FP7-ICT-2013-11, 2013)
Start date: 2014-03-01
End date: 2016-12-31
Duration (months): 34.0
Total project cost (EUR): 1787900.0
EU funding (EUR): 1379600.0
Participants: 4
Project status: CLOSED

Learning analytics, educational data mining, formative assessment, are all recent buzz words in educational research. In principle, the idea is to find theoretical frameworks, models, procedures, and smart tools to collect, aggregate, analyse, reason on and visualize large scale educational data. LEA’s BOX aims at (a) making educational assessment and appraisal more goal-oriented, pro-active, and beneficial for students, and (b) at enabling formative support on the basis of a wide range of information about learners for teachers and other educational stakeholders.LEA’s BOX is a learning analytics toolkit and aims at a competence-centred, multi-source learning analytics methodology based on the foundations of sound psycho-pedagogical models, intelligent model-based reasoning services, innovative visualization techniques, tailored to the very concrete demands and requirements of teachers and learners. Therefore, the project is going to build upon the significant and well acknowledged body of existing work in the field of learning analytics and aims to enrich that with two distinct advancements:- Contribute reasoning algorithms and services on the basis of valid competence-centred psycho-pedagogical frameworks (Competence-based Knowledge Space Theory and Formal Concept Analysis)- Contribute novel approaches to visualizing activity/performance/achievement data by utilizing methods such as structural Hasse diagrams. Immediate benefits for educators will be the potential to link multiple sources of educationally relevant data in a simple way, automatically aggregate and analyze the data with a focus on competencies, a gain in-depth, and a competence-oriented view of learning progress. LEA’s occurs in direct cooperation with a broad basis of partner schools and teachers in the Czech Republic and in Turkey.

Keywords: competence-based knowledge space theory,formal concept analysis,open learner models,formative feedback,multi-source assessment,multi-dimensional visualization
Aerodynamic Testing of Helicopter Novel Air Intakes (ATHENAI)

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: Germany
Call:  (SP1-JTI-CS-2013-01, 2013)
Start date: 2013-09-01
End date: 2015-08-31
Duration (months): 24.0
Total project cost (EUR): 447200.0
EU funding (EUR): 335400.0
Participants: 1
Project status: CLOSED

The project is aimed on enhancing the aerodynamic performance of novel engine air intake concepts for helicopters by shape optimization. Comprehensive wind tunnel tests are performed on a full scale model of a helicopter fuselage section comprising engine cowling and air intake flow passages. The main effort is on two wind tunnel campaigns to analyze in detail the aerodynamic characteristics of three baseline air intake configurations and several design variants. The design modifications concentrate on flow guiding elements like fillets, vanes, spoilers and scoops. The measurements include total pressure and three component velocity fields at the aerodynamic interface plane (AIP) to quantify total pressure losses and inflow distortions. For optimum engine performance, such values have to be minimized by geometry adaptation. Setting up an extensive data base, steady and unsteady surface pressures on cowling and air intake regions are recorded simultaneously to the AIP measurements and correlated with field measurements of mean and fluctuating velocities documenting the incoming flow. A new wind tunnel model consisting of the extended fuselage cowling part and all air intake components and flow passages is designed, manufactured and instrumented to carry out the experiments. The model is of high modularity to easily exchange the various air intake components. Data analysis and evaluation will provide highly required guidelines for helicopter air intake design.

Keywords: air intake design,inlet distortions,aerodynamic interface plane,wind tunnel testing
Manufacturing of high temperature composite parts for air cooling unit (e.g. cyanate ester / carbon fibres) by filament winding (HITEMCOMFIL)

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: Germany
Call:  (SP1-JTI-CS-2013-01, 2013)
Start date: 2013-12-01
End date: 2015-05-31
Duration (months): 18.0
Total project cost (EUR): 198360.0
EU funding (EUR): 148770.0
Participants: 2
Project status: CLOSED

This proposal addresses the fibre winding manufacturing of a sleeve structure (rotor part) for an aircraft cooling unit, which is subjected to a highly variable environment, e. g. a large temperature range, and has excellent mechanical properties to withstand mechanical loading from high speed rotations. The replacement of existing metallic structures with continuous fibre reinforced polymer parts shall allow a weight reduction and higher rotational speeds at elevated temperatures.The proposal includes a detailed analysis of requirements, current designs, and constraints to allow the proposal of a suitable manufacturing concept including material and cost assessment. A new siphon impregnation system developed at IVW allows a complete wet-out of fibres with stable processing condition and can further improve laminate quality. Cyanate esters are high sophisticated thermoset polymer resins suitable to be used in high temperature environment with highly desirable properties and encompass characteristics of epoxy resins, e. g. benzoxazines, bismaleimides or phenolic resins, but are sensitive to processing conditions, i.e. moisture uptake before and during curing. Therefore, this proposal addresses the development of a monitoring of gelation and curing of the matrix resin during processing e. g. by ultrasonic transducers, via dielectric analysis with rheological correlations, and indentation tests. Also, monitoring of filament tension, moisture and void content are addressed. The monitoring is included in or accompanies an automated and CNC-controlled fibre winding process. An optimum design for the structure shall be achieved via structural analyses including mechanical and thermo-mechanical stress analyses, design and ply book generation. Fabrication will be set-up and prototypes manufactured and mechanically tested under near-operation conditions. Finally, manufacturing will be optimized and 5 demonstrators manufactured and TRL-5 readiness assessed. This project is suggesting a fixed starting date to comply with the Eco Design program

Keywords: aircraft,rotor,high temperatur,highspeed rotation,fiber reinforced polymer,filament winding,cyanate esters,process controll,design and analysis,thermomechanic calculation,design optimisation
TEst of Tilt-Rotor Air intakes (TETRA)

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: Italy,Italy
Call:  (SP1-JTI-CS-2013-01, 2013)
Start date: 2014-02-01
End date: 2017-02-28
Duration (months): 37.0
Total project cost (EUR): 449920.0
EU funding (EUR): 337440.0
Participants: 2
Project status: CLOSED

The project pertains to the wind tunnel testing of the engine air-intakes of a tilt-rotor aircraft. The testing activity aims to evaluate the effectiveness of the internal intake duct shape optimisation performed by GRC. Both the original and the optimised duct geometries will be tested in a purposely designed and manufactured nacelle model which includes the rotor hub and the external part of the wing. Detailed measurements of the duct internal flow will be carried out, including bench tests with an internal PIV survey that will increase the insight in the physical flow behaviour.

Keywords: rotorcraft,tiltrotor,wind tunnel,intake,piv