Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
EMbOdied-perceptive Tutors for Empathy-based learning (EMOTE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Collaborative project
Countries involved: United Kingdom,Portugal,United Kingdom,Germany,Sweden,United Kingdom
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-12-01
End date: 2016-03-31
Duration (months): 40.0
Total project cost (EUR): 3707952.0
EU funding (EUR): 2898747.0
Participants: 8
Project status: CLOSED

Significant work has been devoted to the design of artificial tutors with human capabilities with the aim of helping increase the efficiency achieved with a human instructor. Yet, these systems still lack the personal, empathic and human elements that characterise a traditional teacher and fail to engage and motivate students in the same way a human teacher does. The EMOTE project will design, develop and evaluate a new generation of artificial embodied tutors that have perceptive capabilities to engage in empathic interactions with learners in a shared physical space. Overall, the EMOTE project aims to (1) research the role of pedagogical and empathic interventions in the process of engaging the learner and facilitating their learning progress and (2) explore if and how the exchange of socio-emotional cues with an embodied tutor in a shared physical space can create a sense of connection and social bonding and act as a facilitator of the learning experience. This will be done across different embodiments (both virtual and robotic), allowing for the effect that such embodiment will have on engagement and empathy to be explored. Further, the project will support the migration of the artificial tutors across different embodiments, to support students’ learning in both formal and informal settings. To ground the research in a concrete classroom scenario, the EMOTE project will develop a showcase in the area of geography, focusing on environmental issues. This will enable tutors to be tested in real world school environments in different European countries. In order to achieve these objectives, the EMOTE consortium will bring together experts to carry out interdisciplinary research on affect recognition, learner models, adaptive behaviour and embodiment for human-robot interaction in learning environments, grounded in psychological theories of emotion in social interaction and pedagogical models for learning facilitation.

Keywords: affective embodied tutoring systems,embodied empathic artificial tutors
Social housekeeping through intercommunicating appliances and shared recipes merged in a pervasive web-services infrastructure. (SOCIAL&SMART)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Italy,Greece,Spain,Spain,Slovenia,Switzerland,Spain
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-11-01
End date: 2015-07-31
Duration (months): 33.0
Total project cost (EUR): 1956128.0
EU funding (EUR): 1449662.0
Participants: 8
Project status: CLOSED

Social&Smart is a research project using the housekeeping scenario to experiment a pervasive Future Internet network that provides real services to a wide population. The goal is to devise an infrastructure allowing all appliances in the home to speak to a middleware where any user can easily create cognitive and scalable solutions in the cloud to manage them. It offers a knowledge management milieu where the user interacts with a social network to issue what we call recipes, i.e. a list of instructions for the devices embedded in a simplified scripting language. Through the recipes, s/he generates real workflows embedding commands that are finely tuned through cognitive processes based both on user feedbacks and on knowledge and services shared with the other members of the network. The typical storyboard is the one where housekeepers exchange recipes, for instance to wash dirty clothes, in terms of scripts or API calls that get improved iteratively on the basis of the statics on their efficiency. The general strategy is to experiment Future Internet from the human centric perspective, where the users, and not universal procedures, are the owners of the rules operating the things. As members of a social network they share needs, knowledge, services and feedbacks within a networked intelligence to jointly improve their individual ability to rule the appliances at their service. This comes from three converging perspectives: 1. At a local scale, we need things (appliances and hubs) to wirelessly communicate with one another in order to exchange both IDs and commands 2. At a global level, we must integrate thousands of different appliances in a unique network through which to flow data and commands in an unambiguous and efficient way. We will experiment this on three FIRE facility prototypes hosted by the EU projects Crew, OpenLab and SmartSantander, respectively. 3. From an abstract perspective the previous layers constitute the infrastructure where Internet-of-Thing and Internet-of-People merge to realize a user community.

Keywords: future internet facilities,social networks,networked intelligence,internet of things,thinking things,smart objects,smart home,wireless network,domotic middleware,house appliance business model.
MicrOwave Spintronics as an AlternatIve Path to Components and Systems for Telecommunications, Storage and Security Applications (MOSAIC)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: France,Sweden,Germany,Portugal,France,United Kingdom
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2013-01-01
End date: 2016-12-31
Duration (months): 48.0
Total project cost (EUR): 4824445.0
EU funding (EUR): 3499178.0
Participants: 8
Project status: CLOSED

Innovative components and systems based on nano-engineered semiconductor, magnetic or insulating materials will be the driving force for the micro- and nano-electronics industry of the 21st century. For telecommunications systems, but also for data storage and Automation, Control and Security applications, alternative More than MOORE paths to systems are provided by nano-scale microwave spintronics components due to (i) their unique spin polarized transport properties that appear only at nanoscale dimensions (<100nm lateral, and 2-5 nm vertical), (ii) their unique (multifunctional) microwave properties including signal generation, processing and detection and (iii) their compatibility with CMOS technology. Going beyond previous fundamental research on spintronics devices, this project will target technological breakthroughs not only to generate, but also to process (mix, modulate, synchronise) and to detect microwave frequencies. Based on innovative spin transfer devices, four discrete systems will be developed that address bottlenecks of current technologies: A Wireless Telecommunications 1: Ultrawideband frequency synthesis provided by spintronics microwave components with novel circuit design on CMOS for realization of an adapted phase locked loop; B Wireless Telecommunications 2: Ultrafast frequency detection using frequency discriminating level detection; C Wireless Telecommunications 3: FSK based wireless communication; D Automation control & security : Broad bandwidth, high slew rate proximity sensor based on frequency generation and modulation capabilities. The broader objective is to bring the device level knowledge acquired in the past years by the partners towards systems as a first crucial step towards industrialization, warranting the leading position not only of European research but also of European industry in microwave spintronics.

Keywords: spin electronics,microwave systems,microwave devices,frequency generation,mixing,detection,magnetization dynamics,mageto-transport,spin torque nano-oscillator,miniaturization,nano-electronic
Evaluation of RF-based Indoor Localization Solutions for the Future Internet (EVARILOS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Germany,Spain,Sweden,Belgium,Belgium
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-11-01
End date: 2015-04-30
Duration (months): 30.0
Total project cost (EUR): 1807166.0
EU funding (EUR): 1379944.0
Participants: 5
Project status: CLOSED

The EVARILOS project addresses one of the major problems of indoor localization research: The pitfall to reproduce research results in real life scenarios suffering from uncontrolled RF interference and the weakness of numerous published solutions being evaluated under individual, not comparable and not repeatable conditions.Accurate and robust indoor localization is a key enabler for context-aware Future Internet applications, whereby robust means that the localization solutions should perform well in diverse physical indoor environments under realistic RF interference conditions. The objectives of the EVARILOS project are: Firstly, EVARILOS will develop a benchmarking methodology enabling objective experimental validation of and fair comparison between state-of-the art indoor localization solutions.Contrary to previous approaches, the EVARILOS benchmarking methodology not only considers accuracy metrics, but also complexity, cost, energy, and, most importantly, RF interference robustness metrics.Next, the project aims to improve the interference robustness of state-of-the art localization solutions through (a) introducing multimodal approaches leveraging the diversity of different localization methods; (b) introducing environmental awareness and cognitive features; (c) by leveraging the presence of external interference. Thirdly, the EVARILOS benchmarking methodology and interference-robust localization solutions will be validated in two real-life application scenarios: healthcare in a hospital setting and underground mining safety. The main outcomes of the project are a public handbook on the use of the EVARILOS benchmarking methodology and the EVARILOS benchmarking suite. The latter will be implemented it two different testbeds belonging to the FIRE facilities (CREW and OpenLab) and will be publically available under open source licenses. We will further issue an open challenge for the best localization solution to promote the EVARILOS benchmarking methodology.

Keywords: fire experimentation,indoor localization,ranging,rf-based location estimation,interference robustness,benchmarking of localization solutions,experimental evaluation and validation
Smart Control of Energy Distribution Grids over Heterogeneous Communication Networks (SMARTC2NET)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Collaborative project
Countries involved: Denmark,Austria,Germany,Italy,Netherlands,Portugal
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-12-01
End date: 2015-11-30
Duration (months): 36.0
Total project cost (EUR): 4898744.0
EU funding (EUR): 3479980.0
Participants: 8
Project status: CLOSED

Stability and cost-efficient operation of Power distribution grids are the main targets of novel information-rich demand, voltage, and generation control, while at the same time aiming to reduce costs for the grid infrastructure. However, adding intelligence to the power grid requires communication and computation infrastructure, with consequent requirements for additional investments. To be cost efficient, it is therefore essential to enable intelligent power grid operation leveraging existing communication infrastructures. Goal of SmartC2Net is to develop, implement, and validate robust solutions that enable smart grid operation on top of heterogeneous off-the-shelf communication infrastructures with varying properties. The resulting innovative middleware functions are: (1) adaptive network and grid monitoring, (2) strategies to control communication network configurations and QoS settings, and (3) extended information models and adaptive information management procedures. These middleware functions create awareness of the communication network properties and their impact on information quality, which is subsequently exploited by innovative flexible power control algorithms of SmartC2Net. The effectiveness of project results will be validated in representative use-cases of the active operation of Distributed Energy Resources connected to medium and low voltage distribution networks. These use-cases are investigated in three complementary lab prototypes. The SmartC2Net results will clearly show that intelligent distribution grid operation can be realized in a robust manner over existing communication infrastructures even despite the presence of accidental faults and malicious attacks. A consortium of seven partners (two large companies, one SME, two research centres and two universities) from five European countries provides the required expertise combination in the three central disciplines: communication technologies, control methods, and energy technology.

Keywords: energy balancing,imperfect communication networks,network and grid monitoring,robust control,demand side management
Bloch electromagnetic surface wave Bio-sensors for early cancer diagnosis (BILOBA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Italy,Italy,Germany,United Kingdom,France,France,Germany
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-10-01
End date: 2015-12-31
Duration (months): 39.0
Total project cost (EUR): 4731524.0
EU funding (EUR): 3600000.0
Participants: 9
Project status: CLOSED

BILOBA aims to develop and pre-clinically validate a multifunctional point-of-care platform capable of performing real-time cancer biomarker detection in a tandem configuration. The configuration exploits a label-free detection based on the resonance shifts, and the spectral analysis of enhanced fluorescence emitted by biomolecules immobilized on the surface. Utilizing both labeled and label-free analysis on one sensor increases the sensitivity and the reliability of optically read-out surface bound assays. The standard optical label-free detection is the surface plasmon resonance (SPR) method. Its sensitivity suffers from the strong absorption of waves bound to the metal surface. Here, a similar concept, already at the proof of principle stage, will be advantageously implemented by applying the unique properties of Bloch Surface Waves (BSW) sustained on 1D Photonic Crystals (1DPC). Therein, a surface wave without absorption is excited, giving rise to an enormous narrowing of resonances and an associated increase in sensitivity. Furthermore, fluorescence enhancement due to near field effects will be exploited. By engineering the BSW dispersion both detection schemes will be combined. The goal of the project is to explore, design, and set-up BSW systems optimized for analytical sensing, and develop a corresponding analytical instrument. Immobilization protocols and biochemical assays have to be established for optimizing the binding site surface density and for detecting the target biomarkers. The development of a sophisticated, robust fluidic system to ensure a high signal-to-noise ratio even in the case of lowest analyte concentrations accompanies this work. The results will be applied to early cancer biomarker analysis by validating the project’s results in pre-clinical tests. The target application is the detection of Angiopoetin1 and Vascular Endothelial Growth Factor with these proteins being indicative of angiogenesis associated to human cancer progression.

Keywords: biosensor,label-free,luminescence,photonic crystal,bloch surface waves,plasmonics,microfluidics
TRustworthy Embedded systems for Secure Cloud Computing Applications (TRESCCA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Germany,France,France,Greece,Spain
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-10-01
End date: 2015-09-30
Duration (months): 36.0
Total project cost (EUR): 3984629.0
EU funding (EUR): 2950000.0
Participants: 7
Project status: CLOSED

Cloud Computing is an inevitable trend. In the near future almost every consumer electronics device will be connected to an ecosystem of third-party partners providing payment systems, streamed content, etc. However, a whole field of cloud services still lacks solutions because of security issues. Cloud operators and their end users (individuals, companies, etc.) do not always trust each other. As long as storage is concerned, classical cryptography is an efficient way to get round the problem. But things are different when remote processing of sensitive data is required. As a consequence, without a strong chain of trust between them, end users and cloud operators cannot delegate the processing of their sensitive data to the un-trusted other: cloud operators have full administrator privileges on their computing farms and end users can compromise their local equipment by hardware and software attacks. This lack of trust limits the potential of the cloud computing market. The TRESCCA project aims to lay the foundations of a secure and trustable cloud platform by ensuring strong logical and physical security on the edge devices, using both hardware security and virtualization techniques while considering the whole cloud architecture. The project will propose and demonstrate hardware/software solutions allowing stakeholders to delegate the processing of their sensitive data to a remote processing engine opening up whole new field of cloud services and applications. The approach avoids undesirable paradigm shifts, both in the software and in the hardware by complementing existing legacy solutions by non-intrusive add-ons. Security is a main concern but cost, performance and acceptability will also be considered as key metrics. In order to promote the solutions and to challenge them against security experts, openness will be an important characteristic of the project: as much as possible of the project's outcomes will be public and released under free software licenses.

Keywords: cloud computing,trustworthy ict,embedded systems,virtualization,ict security
Talk, Tutor, Explore, Learn: Intelligent Tutoring and Exploration for Robust Learning (ITALK2LEARN)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Collaborative project
Countries involved: Germany,Germany,United Kingdom,Austria,Italy
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-11-01
End date: 2015-10-31
Duration (months): 36.0
Total project cost (EUR): 3060744.0
EU funding (EUR): 2400000.0
Participants: 8
Project status: CLOSED

In the aftermath of the PISA studies, which identified weaknesses of students in many European countries, especially in mathematics, the education of children in the elementary school grades has received a lot of attention. Yet, most learning systems that have been developed for mathematics education have two significant limitations: first, they are usually constrained to text-based interactions and are thus hard to use by young learners (6 to 11-year-olds) who are still perfecting their basic literacy skills. Second, support is rarely tailored to the children’s needs in an adaptive fashion, even though depending on the current stage of the learning process, the support that children need varies between structured practice and more exploratory, conceptually-oriented learning. The Intelligent Tutoring and Exploration for Robust Learning project aims to facilitate robust learning by creating a platform for intelligent support that combines structured learning with exploratory learning activities and applies cognitive models of the learning behaviour of students in elementary education. Relying on state-of-the-art machine learning methods, intelligent components will be able to provide adaptive feedback — e.g., praise or hints —and suggest subsequent tasks. The platform will enable learners to communicate and interact more naturally via rich intuitive user interfaces leveraging direct manipulation and, in particular, natural language user interfaces. The pedagogical and technological outcomes of the project will be evaluated in two proven application scenarios in two European languages. The project proposes to perform interdisciplinary, cutting-edge research in a multidisciplinary team with members from fields as diverse as artificial intelligence/machine learning, user modelling, intelligent tutoring systems, and natural language processing, as well as educational psychology and mathematics education.

Keywords: technology enhanced learning,intutive interaction,more robust learning,intelligent learning support with more intuitive interaction for young learners
Big Data Public Private Forum (BIG)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Coordination and support actions
Countries involved: Spain,United Kingdom,Germany,Austria,Ireland,Germany,France,Germany,France,Germany,Germany
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-09-01
End date: 2014-10-31
Duration (months): 26.0
Total project cost (EUR): 3038224.0
EU funding (EUR): 2499998.0
Participants: 12
Project status: CLOSED

Big Data is an emerging field where innovative technology offers alternatives to resolve the inherent problems that appear when working with huge amounts of data, providing new ways to reuse and extract value from information. Three main dimensions characterize Big Data: huge variety of data format, often time-sensitive and large. Big Data offers tremendous untapped potential value for many sectors but no specific intelligent-large-data-handling/brokering industrial sector exists. Furthermore, from an industrial adoption point of view, Europe is lagging behind US in Big Data technologies. A clear strategy to align supply and demand is needed as a way of increasing competitiveness of European industries. Building an industrial community around Big Data in Europe will be the priority of this project, together with setting up the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations. Big Data Public Private Forum (BIG) will work towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of research and innovation, but it will also provide a major boost for technology adoption and supporting actions from the European Commission in the successful implementation of the Big Data economy. As part of this strategy, outcomes of this project will be used as input for Horizon 2020 and will be sustained beyond the project duration. Foundational research technologies will be analysed and assessed in BIG and technology and strategy roadmaps created, so that the business and operational communities understand the potential of these technologies and are enabled to implement appropriate strategies and technologies for commercial benefit. To maximize the success of this initiative BIG has selected a balanced set of partners representing Academia and specially Industry.

Keywords: coordination action (ca) proposal,big data,large-scale intelligent information management,community building networks,data management and usage,public private forum