Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Remote Medical Diagnostician (REMEDI)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: United Kingdom,Germany,Poland,Austria,Italy,Switzerland,Poland
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-12-01
End date: 2017-02-28
Duration (months): 39.0
Total project cost (EUR): 4058836.0
EU funding (EUR): 3079995.0
Participants: 8
Project status: CLOSED

In the frame of the project ReMeDi a robot system is designed that features medical tele-examination of patients. Successful medical treatment depends on a timely and correct diagnosis, but the availability of doctors of various specializations is limited, especially in provincial hospitals or after regular working hours. Medical services performed remotely are emerging, yet current solutions are limited to merely teleconferencing and are insufficient. Use case scenarios targeted in ReMeDi feature a robot capable of performing a physical examination, specifically of the two most widespread examination techniques i) palpation, i.e. pressing the patients stomach with the doctor’s hand and observing the stiffness of the internal organs and the patient’s feedback (discomfort, pain) as well as ii) ultrasonographic examination. Beside quality teleconferencing, ReMeDi features a mobile robot (placed in a hospital) equipped with a lightweight and inherently safe manipulator with an advanced sensorized head and/or ultrasonic probe; and the remote interface (placed at the doctor’s location) equipped with sophisticated force-feedback, active vision and locomotion capabilities. The system is incrementally built following a user-centered design approach, and its usability with respect to the patient and the examining doctor is extensively studied in real world scenarios of cardiac examination. ReMeDi will go beyond classical telepresence concepts: It will capture and process multi-sensory data (integrating visual, haptic, speech, patient’s emotions and physiological responses) into perception and reasoning capabilities making ReMeDi a diagnostic assistant offering context-dependent and proactive support for the doctor. Particular attention is devoted to safety aspects. The normative standards (both existing and in draft) and the results of ongoing research projects will be integrated in all the system development phases.

Keywords: medical robot,telediagnostics,ultrasonography,haptic interface
OSMOsis applications for the Sensing Enterprise (OSMOSE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: United Kingdom,Germany,Portugal,Italy,Spain,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): 4563399.0
EU funding (EUR): 2870000.0
Participants: 12
Project status: CLOSED

The main objective of the OSMOSE project is to develop a reference architecture, a middleware and some prototypal applications for the Sensing-Liquid Enterprise, by interconnecting Real, Digital and Virtual Worlds in the same way a semi-permeable membrane permits the flow of liquid particles through itself. In concrete terms, the OSMOSE project will design and develop: i. a Reference Architecture for modelling and managing shadow images of the same Sensing-Liquid Enterprise in the three interconnected worlds regarding both immaterial and material liquid flows under flexible security and privacy capability rules. A Triple A architecture is proposed where Actors (RW) Agents (DW) Avatars (VW), representing humans and smart objects, interact and negotiate; ii. an Event-driven and Service-oriented Osmiotic Middleware (osmosis semi-permeable membranes) to constantly and automatically keep background consistency between the three worlds through the implementation of three pairs of basic processes: i) Virtualization RW-VW; ii) Augmentation VW-RW; iii) Digitalization RW-DW; iv) Actuation DW-RW; v) Simulation DW-VW; vi) Enrichment VW-DW; iii. a Liquid Stargate which allows human users to browse the relevant real-digital-virtual assets in an integrated multi world representation view, to configure the behaviour of their human RW Actors- DW Agents- VW Avatars and to support knowledge sharing and experiences / emotions exchange, by crossing seamlessly the three worlds’ gates; iv. an innovative “Sensing-Liquid Maintenance & Support” application in the Aerospace Domain concerned with helicopters’ flight simulators operation (Agusta Westland pilot); v. an innovative “Sensing-Liquid Quality Inspection & Control” application in the Automotive Domain concerned with camshafts supply and production traceability (EPC pilot).

Keywords: applications for the sensing enterprise,new models for the digital enterprise
REVEALing hidden concepts in Social Media (REVEAL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Luxembourg,France,Germany,Greece,Germany,United Kingdom,Norway,Germany,Belgium
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-12-31
Duration (months): 38.0
Total project cost (EUR): 6925004.0
EU funding (EUR): 5168000.0
Participants: 11
Project status: CLOSED

The world of media and communication is currently experiencing enormous disruptions: from one-way communication and word of mouth exchanges, we have moved to bi- or multi directional communication patterns. No longer can selected few (e.g. media organizations and controllers of communication channels) act as gatekeepers, deciding what is communicated to whom and what not. Individuals now have the opportunity to access information directly from primary sources, through a channel we label e'-word of mouth', or what we commonly call 'Social Media'. A key problem: it takes a lot of effort to distinguish useful information from the 'noise' (e.g. useless or misleading information). Finding relevant information is often tedious. This challenge has become the focus of various research efforts. Many concentrate on the automatic discovery of information by adapting semantic search and retrieval technologies to the particularities of Social Media content. REVEAL, however, aims to discover higher level concepts hidden within information. In Social Media we do not only have bare content; we also have interconnected sources. We have to deal with interactions between them, and we have many indicators about the context within which content is used, and interactions taking place. A core challenge is to decipher interactions of individuals in permanently changing constellations, and do so in real time.This is what we aim for! We will reveal much more than bare content. Further to discovering what is being said, we will determine how trustworthy that information is. We will predict contributor impact and how much or to what extent all this affects reputation or influence. This allows us to automatically judge the quality and accuracy of content, and bring us to predicting future trends with greater accuracy. We label all this Social Media modalities. The core of our work is to reveal hidden modalities for the benefit of a better understanding and utilization of the Social Media world

Keywords: social media,social network analysis,semantic analysis,information extraction,content verification
RAPP– Robotic Applications for Delivering Smart User Empowering Applications (RAPP)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Greece,France,Poland,France,United Kingdom,Spain
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-12-01
End date: 2017-01-31
Duration (months): 38.0
Total project cost (EUR): 2474474.0
EU funding (EUR): 1950000.0
Participants: 8
Project status: CLOSED

As our societies are affected by a dramatic demographic change, in the near future elderly and people requiring support in their daily life will increase and caregivers will not be enough to assist and support them. Socially interactive robots can help to confront this situation not only by physically assisting people but also functioning as a companion. The increasing sales figures of robots are pointing that we are in front of a trend break for robotics. To lower the cost for developers and to increase their interest on developing robotic applications, the RAPP introduces the idea of robots as platforms. RAPP (Robotic Applications for Delivering Smart User Empowering Applications) will provide a software platform in order to support the creation and delivery of robotics applications (RAPPs) targeted to people at risk of exclusion, especially older people. The open-source software platform will provide an API that contains the functionalities for implementing RAPPs and accessing the robot’s sensors and actuators using higher level commands, by adding a middleware stack with added functionalities suitable for different kinds of robots. RAPP will expand the computational and storage capabilities of robots and enable machine learning operations, distributed data collection and processing, and knowledge sharing among robots in order to provide personalized applications based on adaptation to individuals. The use of a common API will assist developers is creating improved applications for different types of robots that target to people with different needs, capabilities and expectations, while at the same time respect their privacy and autonomy, thus the proposed RAPP Store will have a profound effect in the robotic application market. The results of RAPP will be evaluated through the development and benchmarking of social assistive RAPPs, which exploit the innovative features (RAPP API, RAPP Store, knowledge reuse, etc.) introduced by the proposed paradigm.

Keywords: elderly,social robots,assistive robots,robotic framework,smart user empowering robotic applications,mobility assistance and health monitoring,mild cognitive impairment,technology illiterate
User-Centric Networking (UCN)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: France,France,Germany,Switzerland,United Kingdom,United Kingdom,Portugal,Australia,France,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 4952718.0
EU funding (EUR): 3364000.0
Participants: 11
Project status: CLOSED

The explosion of information available online and the ubiquity of connected media devices are rendering existing content recommendation and content delivery system inadequate. The recent data deluge has made finding relevant content a daunting task. Users are presented with seemingly infinite choices for consumption and because recommendation systems are typically service or application specific and based on little or narrow data, which results in too coarse-grained recommendations. Furthermore, existing content delivery systems focus their media adaptation to match device and network characteristics, instead of users’ context and profile that could help increase the relevance of content search and the viewing conditions. We introduce User Centric Networking (UCN), a new communication paradigm that leverages user information at large to store, discover and deliver content in the most optimal conditions at any time, for a given user in a specific context. UCN relies on a distributed Personal Information Hub (PIH) that contains information such as the user context, her mood, historical data about her taste, expectation, social acquaintances, and her network/device resources. UCN will use these data to decide at any point in time where to search content and where to deliver it from, and how to configure the delivery for a user in her context. In addition, UCN creates opportunities for a new range of personalized services, based on geo-location or fusion of very different sensor data for example. UCN will deliver prototypes for a new generation of Internet-based applications and services in the digital media sector and beyond. These prototypes will deployed in Technicolor's Home Networking product line, designed with real data and tested in real conditions at Portugal Telecom and a NICTA who both use Technicolor's most recent gateway technology.

Keywords: privacy protection personalized content delivery user profiling user interest prediction content recommendation
Parallel SOftware framework for time-CRitical mAny-core sysTEmS (P-SOCRATES)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Portugal,Spain,Italy,Switzerland,Spain
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-12-31
Duration (months): 39.0
Total project cost (EUR): 3624942.0
EU funding (EUR): 2762000.0
Participants: 7
Project status: CLOSED

The recent technological advancements and market trends are causing an interesting phenomenon towards the convergence of High-Performance Computing (HPC) and Embedded Computing (EC) domains. On one side, new kinds of HPC applications are being required by markets needing huge amounts of information to be processed within a bounded amount of time. On the other side, EC systems are increasingly concerned with providing higher performance in real-time, challenging the performance capabilities of current architectures. The advent of next-generation many-core embedded platforms has the chance of intercepting this converging need for predictable high-performance, allowing HPC and EC applications to be executed on efficient and powerful heterogeneous architectures integrating general-purpose processors with many-core computing fabrics. To this end, it is of paramount importance to develop new techniques for exploiting the massively parallel computation capabilities of such platforms in a predictable way. P-SOCRATES will tackle this important challenge by merging leading research groups from the HPC and EC communities. The time-criticality and parallelisation challenges common to both areas will be addressed by proposing an integrated framework for executing workload-intensive applications with real-time requirements on top of next-generation commercial-off-the-shelf (COTS) platforms based on many-core accelerated architectures. The project will investigate new HPC techniques that fulfil real-time requirements. The main sources of indeterminism will be identified, proposing efficient mapping and scheduling algorithms, along with the associated timing and schedulability analysis, to guarantee the real-time and performance requirements of the applications. The technology developed in the project will be implemented on a real-time use-cases: based on a a real-world intelligent transportation system, an embedded sensor processing system and an online semantic intelligence tool.

Keywords: time-criticality,parallelisation,high-performance computing,real-time embedded computing,heterogeneous many-core embedded platforms.
High-resolution fingerprint sensing with vertical piezoelectric nanowire matrices (PIEZOMAT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: France,Germany,Hungary,Germany,Lithuania,France,Ireland,France
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2017-06-30
Duration (months): 44.0
Total project cost (EUR): 3860242.0
EU funding (EUR): 2897354.0
Participants: 9
Project status: CLOSED

The paradigm of societal uses protected by biometric identification (ID) – from national security and controlled access, to health care, banking and leisure – requires coming up with ever more reliable built-in ID detection systems. In this context, PiezoMAT proposes a new technology of high-resolution fingerprint sensors based on a matrix of interconnected piezoelectric nanowires (NWs). The long term objective of PiezoMAT is to offer high performance fingerprint sensors with minimal volume occupation for integration into built-in systems able to compete on the market with the best existing products. PiezoMAT proceeds by local deformation of an array of individually contacted piezoelectric NWs and reconstruction from generated potentials, whose amplitudes are proportional to the NW displacement. Each NW and its associated electronics constitute a sensor, or pixel. The sub-micron dimension of NWs allows for high spatial frequency sampling of every fingerprint feature, enabling extremely reliable fingerprint differentiation through detection of the smallest minutiae (pores and ridge shapes). Charge collection efficiency is very dependent on the electrode configuration on each NW. PiezoMAT explores several possible configurations associated with gradual levels of technological challenges and risks, with a strong focus on developing reliable device design tools for present and future application-related adaptability. For the purpose of the PiezoMAT research, it is foreseen to collect generated charges and analogue output signals via metal lines connected to deported electronics on a printed circuit board. This configuration does not allow for maximum NW integration density but is designed to yield sufficient resolution to demonstrate the concept, major technological achievements and actual performance increase as compared to the state-of-the-art. Long term developments will pursue full electronics integration for an optimal sensor resolution.

Keywords: piezoelectric nanowires,chip integration,fingerprint sensor,device design
A Coherent and Rich PaaS with a Common Programming Model (COHERENTPAAS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Spain,France,Greece,Portugal,Greece,Spain,Netherlands,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 6550303.0
EU funding (EUR): 4950000.0
Participants: 12
Project status: CLOSED

Cloud data management, Big Data and the Internet of Things raise specific challenges with respect to scalable data management, both in real-time and offline. Big Data analytics puts the emphasis on large queries over big cloud data stores. The emerging Internet of Things applications also raise specific challenges with respect to real-time data management. Developing cloud applications at large scale is also complex due to the lack of coherence support. In this landscape there is an increasing demand for efficiency and scalability that has resulted in the implementation and use of a wide diversity of different cloud data stores – each one specialized and optimal for specific processing, thus leading to a “no one size fits all” situation. This trend has resulted in a large proliferation of APIs, a lack of a common programming framework and a lack of coherence across different cloud data managers for the corresponding different technologies (traditional environments provided full coherence that has been totally lost in the cloud landscape). CoherentPaaS addresses all these issues. CoherentPaaS will provide a rich PaaS with different “one size” data stores optimized for particular tasks, data, and workloads. CoherentPaaS will integrate NoSQL, SQL data stores, and complex event processing data management systems with holistic coherence and that will be accessed by means of a common query language. CoherentPaaS will thus enable the development of new cloud, BigData and IoT applications that exploit the performance and scalability of new cloud data management technologies, while hiding the complexity of the underlying technology under a unified query language and holistic coherence across data stores that will simplify application development. CoherentPaaS outcomes will enable application developers to program with a unified framework that will attain simplicity thanks to the common query language and holistic coherence, scalability guaranteed by each cloud data management technology, and efficiency by enabling to use different cloud data managers specialized for the required tasks.

Keywords: platform as a service (paas),cloud data stores,transactions,query language
Probabilistic real-time control of mixed-criticality multicore and manycore systems (PROXIMA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Spain,United Kingdom,France,Italy,France,Spain,United Kingdom,Sweden
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 6793991.0
EU funding (EUR): 4650000.0
Participants: 11
Project status: CLOSED

In the next decade, EU industries developing Critical Real-Time Embedded Systems (CRTES) (safety, mission or business critical) will face a once-in-a-life-time disruptive challenge caused by the transition to multicore processors and the advent of manycores, tantamount to complex networked systems. This challenge brings the opportunity to integrate multiple applications onto the same hardware platform bringing significant advantages in performance, production costs, and reliability. It also brings a severe threat relating to a key problem of CRTES; the need to prove that all temporal constraints will be satisfied during operation. Current CRTES, based on relatively simple singlecore processors, are already extremely difficult to analyse for temporal behaviour, resulting in errors in operation costing EU industry billions each year. The advent of multicore and manycore platforms exacerbates this problem, rendering traditional temporal analysis techniques ineffectual. A new approach is needed. The PROXIMA thesis is that the temporal behaviour of mixed-criticality CRTES executing on multicore and manycore platforms can be analysed effectively via innovative probabilistic techniques. PROXIMA defines new hardware and software architectural paradigms based on the concept of randomisation. It extends this approach across the hardware and software stack ensuring that the risks of temporal pathological cases are reduced to quantifiably small levels. On top of this, PROXIMA builds a comprehensive suite of probabilistic analysis methods integrated into commercial design, development, and verification tools, complemented by appropriate arguments for certification. PROXIMA provides a complete infrastructure; harnessing the full potential of new processor resources, demonstrating and supporting effective temporal analysis, bringing the probabilistic approach to a state of technological readiness, and priming multiple EU industry sectors in its use via a number of case studies.

Keywords: multicore,manycore,mixed-criticality systems