Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Quality Translation by Deep Language Engineering Approaches (QTLEAP)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Portugal,Germany,Czechia,Bulgaria,Germany,Spain,Netherlands
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 3972243.0
EU funding (EUR): 3003000.0
Participants: 8
Project status: CLOSED

In the last decade, the incremental advancement of mainstream research on Machine Translation (MT) has been obtained by encompassing increasingly sophisticated statistical approaches and fine-grained linguistic features that add to the surface level alignment on which these approaches are ultimately anchored. It has been ventured recently, in some leading academic and industry circles, that the incremental progress towards quality MT of this path may be asymptotically reaching a ceiling, as more fine-grained distinctions tend to be needed to aim at better translations with fewer gains in terms of quality increase. The goal of this project is to contribute to a quantum leap in quality MT by pursuing a novel approach that opens the way to higher quality translations and a new cycle of technological advancement. We build on the complementarity of the two pillars of language technology — symbolic and probabilistic — and seek a quantum leap in their hybridization. We explore combinations of them that amplify their strengths and mitigate their drawbacks with a new design for the intertwining of statistical and rule-based MT. The construction of deep treebanks has progressed to be delivering now the first significant Parallel DeepBanks, where pairs of synonymous sentences from different languages are annotated with their fully-fledged grammatical representations, up to the level of their semantic representation. The construction of Linked Open Data and other semantic resources, in turn, has progressed now to support impactful application of lexical semantic processing that handles and resolves referential and conceptual ambiguity. These cutting edge advances permit for the cross-lingual alignment supporting translation to be established at the level of deeper linguistic representation. The deeper the level the less language-specific differences remain among source and target sentences and new chances of success become available for the statistically based transduction.

Keywords: machine translation
Cross-layer Research on Green Cooperative Cognitive Radio Networks and Services (CROWN)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Norway
Call:  (FP7-PEOPLE-2013-IRSES, 2013)
Start date: 2014-04-01
End date: 2018-03-31
Duration (months): 48.0
Total project cost (EUR): 424200.0
EU funding (EUR): 424200.0
Participants: 3
Project status: CLOSED

The objective of the CROWN project is to increase researchers’ mobility between EU countries and China to obtain better understanding of green cooperative cognitive radio for future mobile Internet infrastructure. In particular, the transfer of knowledge, mainly as a result of researcher’s mobility, will focus on a new vision of green Cooperative CR paradigm or CCR. This new vision advocates the seamless integration of three important aspects of modern wireless communication systems, i.e., green, cooperativeness and cross-layer. It is the aim of this project to explore a systematic way to bring together these features into a CCR network so as to maximize its effective network throughput (excluding signalling overhead) while staying green. In the meanwhile, the design of the CROWN network architecture will also take into consideration the new trend of services (e.g., increasing more video streaming) and their provisioning mechanisms (such as cloud computing). This staff exchange programme will also help develop new research links and deepen and strengthen the current research links amongst the partners and help build up long-term, world-class research in future wireless Internet technologies.

Keywords: energy efficient green communications,cognitive radio,wireless networks,mobile communications
Architecture for Multi-criticality Agile Dependable Evolutionary Open System-of-Systems (AMADEOS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Italy,Austria,France,Netherlands,Netherlands
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 3406373.0
EU funding (EUR): 2481999.0
Participants: 7
Project status: CLOSED

The objective of this research proposal is to bring time awareness and evolution into the design of System-of-Systems (SoS), to establish a sound conceptual model, a generic architectural framework and a design methodology, supported by some prototype tools, for the modeling, development and evolution of time-sensitive SoSes with possible emergent behaviors. Special emphasis is placed on evolution, emergence, dependability (e.g. safety, availability) and security, considering embedded devices and the cloud as the execution platform. The concept of evolution will be addressed from two complementary perspectives, considering both long-term evolution and short-term unexpected changes (e.g., failures) in the constituent systems. The project starts with a study of fielded industrial SoSs, where the handling of time and the evolution aspects will be in the center of the analysis, in the domains of disaster management, transport, and smart grid applications. The following development of the conceptual model, the architectural framework, the design methodology and some extensions to UML-based tools will form the core of the project work. In place of the traditional guarantees that were the target for more closed and static systems, the architectural framework will be based on the concept of guaranteed best adaptation under the given constraints, sometimes just monitoring how the environment evolves, and influencing how the SoS takes mitigating actions. The viability of the framework will be validated on a case study of a CPS, a small smart grid application, where guaranteed responsiveness, evolution, dependability and security are essential requirements. The research is based on the in-depth experience of some of the key researchers of the consortium in the fields of architecture design, real-time systems, dependability, security and the development of large systems-of-systems in such diverse domains as disaster management, the transport sector, and energy distribution.

Keywords: systems of systems,time awareness,evolution,emergent behavior,dependability (e.g. safety,availability) and security,architectural framework,design methodology
Engineering Virtualized Services (ENVISAGE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Norway,Netherlands,Germany,Italy,Spain
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 4701639.0
EU funding (EUR): 3180000.0
Participants: 8
Project status: CLOSED

Software services are virtualized if they can adapt to the elasticity of cloud computing. To foster the industrial adoption of virtualized services, it is necessary to address two important problems: (1) the efficient analysis, dynamic composition and deployment of services with qualitative and quantitative service levels and (2) the dynamic control of resources such as storage and processing capacities according to the internal policies of the services. ENVISAGE plans to overcome these problems by leveraging service-level agreements (SLA) into software models and resource management into the early phases of service design. ENVISAGE develops a semantic foundation for virtualization and SLA that goes beyond today's cloud technologies. This foundation makes it possible to efficiently develop SLA-aware and scalable services, supported by highly automated analysis tools using formal methods. SLA-aware services are able to control their own resource management and renegotiate SLA across the heterogeneous virtualized computing landscape. The main outcome of the ENVISAGE project is a practical open-source framework for model-based development of virtualized services that includes (1) a behavioral specification language for describing resource-aware models; (2) a simulator with visualization facilities; and (3) tool support for automated resource analysis, validation of SLA, code generation, and runtime monitoring of SLA for deployed services. The consortium has the complementary expertise required by this challenging research agenda, with leading researchers in formal methods, contract-based specification, service-oriented computing and resource analysis, and with industries in different business domains developing cutting edge ICT technologies based on virtualized services. The methodology and tools developed in ENVISAGE will allow services to be delivered in a more effective, efficient, and reliable manner than today, accelerating the development cycle and lowering the operational costs for innovative networked services that make use of cloud computing. This has the potential to significantly improve the competitiveness of SMEs, and profoundly influence business ICT strategies in all sectors.

Keywords: formal methods,software engineering,virtualization,cloud computing,object orientation,resources,service-level agreements,verification,cost analysis
Crowd-powered recommendation for continuous digital media access and exchange in social networks (CROWDREC)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: France,Netherlands,Germany,Spain,Hungary,Italy,United Kingdom,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 4332832.0
EU funding (EUR): 2991000.0
Participants: 10
Project status: CLOSED

Millions of people find the digital media that they want and need via social networks, and rely on recommendations to sort a flood of posts, friends, multimedia and promoted content. Today’s users, however, need a new generation of smart recommendations that are able to keep pace with their moment-to-moment needs in their fast-moving, dynamically developing, mobile worlds. Achieving such social smartfeeds requires facing the grand challenge of providing recommendations that are simultaneously real-time, large-scale, socially informed, interactive and context aware. CrowdRec addresses this challenge by pioneering a breed of algorithms that combine crowdsourcing and recommendation algorithms to achieve a new generation of social smartfeeds for access and exchange of digital media in social networks. The key insight of CrowdRec is that, in order to achieve the dense, high-quality, timely information required for a truly useful social smartfeed, it is necessary to go beyond passive information collection and also beyond users' immediate social circles. Instead, the necessary information can be actively acquired by using crowdsourcing to solicit input and feedback from the wider community. CrowdRec algorithms create a symbiosis between users and content: they establish reciprocal relationships that both satisfy users' digital media needs and connect media with users able and willing to contribute the information necessary to improve access and exchange for the overall community. The project pursues three scientific and technical objectives: "Stream Recommendation": exploiting the ability of recommender system’s to process usage patterns to create social smartfeeds useful in large-scale social networks; "Crowd Engagement": designing algorithms that engage users to generate information needed for smartfeeds; "Deployment and Validation": creating a both a reference implementation to support research and a real-world social networks for large-scale user trials. CrowdRec achieves its ambitious goals by bringing academic, industry and SME partners with longstanding expertise in social and context-aware recommendation together with two large social networks with the high volume of media data flowing in live user communities (one > 14 million members and one > 20 thousand members) necessary for "in vivo" development and evaluation of CrowdRec technology.

Keywords: real-time social recommendation,crowd-driven recommendation,stream recommendation,reciprocal recommendation,social networks,media exchange,user-generated content,incentivization
Exascale Programming Models (EPIGRAM)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Special Action
Action type: Collaborative project
Countries involved: Sweden,Austria,United Kingdom,Germany,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 3051679.0
EU funding (EUR): 2197000.0
Participants: 5
Project status: CLOSED

Exascale computing power will likely be reached in the next decade. While the precise system architectures are still evolving, one can safely assume that they will be largely based on deep hierarchies of multicore CPUs with similarly-deep memory hierarchies, potentially also supported by accelerators. New and disruptive programming models are needed to allow applications to run efficiently at large scale on these platforms. The Message Passing Interface (MPI) has emerged as the de-facto standard for parallel programming on current petascale machines; but Partitioned Global Address Space (PGAS) languages and libraries are increasingly being considered as alternatives or complements to MPI. However, both approaches have severe problems that will prevent them reaching exascale performance. The aim of this proposal is to prepare Message Passing (MP) and PGAS programming models for exascale systems by fundamentally addressing their main current limitations. We will introduce new disruptive concepts to fill the technological gap between the petascale and exascale era in two ways: • First, innovative algorithms will be used in both MP and PGAS, specifically to provide fast collective communication in both MP and PGAS, to decrease the memory consumption in MP, to enable fast synchronization in PGAS, to provide fault tolerance mechanisms in PGAS, and potential strategies for fault tolerance in MP. • Second, we will combine the best features of MP and PGAS by developing an MP interface using a PGAS library as communication substrate. The concepts developed will be tested and guided by two applications in the engineering and space weather domains chosen from the suite of codes in current EC exascale projects. By providing prototype implementations for both MP and PGAS concepts we will contribute significantly to advancement in programming models and interfaces for ultra-scale computing systems, and provide stimuli for European research in this vital area.

Keywords: exascale,programming models,message passing,pgas
PReparing Industry to Privacy-by-design by supporting its Application in REsearch (PRIPARE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Coordination and support actions
Countries involved: France,Spain,France,Spain,Germany,Germany,Ireland,Belgium,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2015-09-30
Duration (months): 24.0
Total project cost (EUR): 1313167.0
EU funding (EUR): 1099933.0
Participants: 11
Project status: CLOSED

The mission of PRIPARE is twofold: facilitate the application of a privacy and security -by-design methodology that will contribute to the advent of unhindered usage of Internet against disruptions, censorship and surveillance, support its practice by the ICT research community to prepare for industry practice; foster risk management culture through educational material targeted to a diversity of stakeholders. To this end PRIPARE will • specify a privacy and security-by-design software and systems engineering methodology, using the combined expertise of the research community and taking into account multiple viewpoints (advocacy, legal, engineering, business), • prepare best practices material (guidelines, patterns, success stories) for the development and implementation of products and services of ICT-based systems and use-cases in the area of cloud computing, mobile services and the management of cyber incidents, • support FP7 and Horizon 2020 research projects through training workshops and practical support in applying PRIPARE best practices in their environment. • provide educational material on approaches for risk management of privacy and create awareness on the need for risk management culture among users. Material consistent with PRIPARE methodology will be structured in a modular way in order to fit to different targets (policy makers, users, ICT students and professional). • identify gaps and provide recommendations on privacy and security-by-design practices, support of unhindered usage of Internet and on the creation of a risk management culture. A research agenda will be proposed. PRIPARE consists of a consortium of 11 partners with strong links with the privacy community (data protection authorities/policy makers, privacy advocacy organisations, technology, engineering). In order to prepare for the longer term adoption by the industry, a representative advisory board will be set up. The support action duration is 24 months.

Keywords: privacy-by-design,methodology,privacy,engineering
Distributed REal-Time Architecture for Mixed Criticality Systems (DREAMS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Germany,Spain,France,France,Austria,Germany,Germany,Norway,Spain,France,Greece,Spain,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2017-09-30
Duration (months): 48.0
Total project cost (EUR): 15567754.0
EU funding (EUR): 10999950.0
Participants: 16
Project status: CLOSED

The objective of DREAMS is to develop a cross-domain architecture and design tools for networked complex systems where application subsystems of different criticality, executing on networked multi-core chips, are supported. DREAMS will deliver architectural concepts, meta-models, virtualization technologies, model-driven development methods, tools, adaptation strategies and validation, verification and certification methods for the seamless integration of mixed-criticality to establish security, safety, real-time performance as well as data, energy and system integrity. DREAMS will leverage multi-core platforms for a hierarchical system perspective of mixed-criticality applications combining the chip- and cluster-level. This system perspective will be established by virtualization (e.g., secure and timely end-to-end channels with different on-chip and off-chip segments), platform models and tools and integrated resource management resulting in higher flexibility, adaptability and energy efficiency. The consortium consists of major embedded system suppliers and OEMs encompassing a broad range of application domains (avionics, wind power, healthcare), supported by leading research and academic organizations. DREAMS will significantly reduce development lifecycle and certification efforts and enable mixed-criticality product lines. The impact further includes a reduction of time-to-market, decreased development, deployment and maintenance cost, and the exploitation of the economies of scale through cross-domain components and tools. Based on strong foundation in European and national initiatives, DREAMS will establish a European reference architecture for mixed-criticality systems by consolidating and extending platform technologies and development methods. The project will actively contribute to community building and standardization to facilitate industrial harmonization and uptake of results.

Keywords: mixed-criticality,real-time,reliability,safety,security,temporal and spatial partitioning,dynamic resource management,certification,model-based development,industrial,avionics,health
Programming Large Scale Heterogeneous Infrastructures (POLCA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Germany,Germany,Netherlands,Belgium,Spain,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-09-01
End date: 2016-08-31
Duration (months): 36.0
Total project cost (EUR): 4169530.0
EU funding (EUR): 3174855.0
Participants: 7
Project status: CLOSED

POLCA explicitly addresses the programmability concerns of both embedded and high performance computing. Both domains have generated strongly focused approaches for solving their specific problems that are now confronted with the increasing need for parallelism even in Embedded Systems and the need for addressing non-functional criteria in High Performance Computing. Rather than improving both domains separately, POLCA takes a bold step forward by proposing a hybrid programming model that decisively increases programming efficiency in both areas and enables realisation of multi domain use cases. This model thereby allows efficient parallelisation and distribution of the application code across a highly heterogeneous infrastructure, not through automagic methods, but through exploitation of fundamental mathematical axioms behind the execution logic. The model is strongly oriented towards mathematical application cases of both domains, ranging from sensor evaluation, over monitoring-control-loops to complex simulation and modelling. POLCA is thereby explicitly geared towards exploitation of reconfigurable hardware to make use of their high efficiency under the right usage criteria. In principal it even allows for exploitation of run-time reconfigurations, given an application with a suitable profile. Thus, POLCA is strongly coupled with a performance evaluation toolchain that supports the right compilation and deployment, and thus execution configuration. To maintain controllability and ensure proper, reliable execution of the non-functional criteria, POLCA can generate stand-alone code that does not require support through virtualisation technologies, but addresses the specifics of the destination platform directly. The project builds up on existing collaboration between experts from embedded computing and high performance computing, to combine complementary expertise from the two domains into an accessible and productive programming model of the future.

Keywords: high performance computing,embedded systems,programming model,reconfigurability,heterogeneity,fpga,compilers