Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Immersive Coverage of Spatially Outspread Live Events (ICOSOLE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Austria,Belgium,United Kingdom,Germany,Belgium,Austria,Austria
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 5194810.0
EU funding (EUR): 3492000.0
Participants: 7
Project status: CLOSED

ICoSOLE aims at developing a platform that enables users to experience live events which are spatially spread out, such as festivals (e.g. Gentse feesten in Belgium, Glastonbury in the UK), parades, marathons or bike races, in an immersive way by combining high-quality spatial video and audio and user generated content. The project will develop a platform for a context-adapted hybrid broadcast-Internet service, providing efficient tools for capture, production and distribution of audiovisual content captured by a heterogeneous set of devices spread over the event site. The approach uses a variety of sensors, ranging from mobile consumer devices over professional broadcast capture equipment to panoramic and/or free-viewpoint video and spatial audio. Methods for streaming live high-quality audiovisual content from mobile capture devices to content acquisition, processing and editing services will be developed. In order to combine the heterogeneous capture sources, ICoSOLE will research and develop approaches for integration of content from professional and consumer capture devices, including mobile (and moving) sensors, based on metadata and content analysis. Methods for fusing visual and audio information into a format agnostic data representation will be developed, which enable rendering video and audio for virtual viewer/listener positions. ICoSOLE will develop efficient tools for media production professionals to select, configure and review the content sources being used. These tools capture, extract and annotate metadata during the production process and integrate this metadata throughout the entire production chain to the end user. Content will be provided via broadcast, enhanced by additional content transported via broadband and novel interaction possibilities for second screen and web consumption. The content will also be provided in an adapted form to mobile devices, with specific location-based functionalities for users at or near the place of the event.

Keywords: immersive,real-time,spatial,interactive,mobile
Use cases for inspection robots opening up the oil-, gas- and petrochemical markets (PETROBOT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Netherlands,United Kingdom,Sweden,Norway,Switzerland,Netherlands,United Kingdom,Netherlands,Germany,Netherlands
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-09-01
End date: 2016-08-31
Duration (months): 36.0
Total project cost (EUR): 6271580.0
EU funding (EUR): 3739940.0
Participants: 10
Project status: CLOSED

PETROBOT will open the oil-, gas and petrochemical markets by developing two key new robot inspection technologies and validating these in use cases: 1. Off-line internal inspection of pressure vessels: avoiding the high cost for human entry as well as reducing plant down-time. 2.In-line inspection of storage tanks: avoiding lost revenue by keeping tanks in full operation. Currently, inspections are carried out by human inspectors. Plants must be taken out of operation inducing substantial lost revenue and shut down costs. Recent robot developments are promising, but technologies have not been adapted to the requirements of the target sectors. PETROBOT mobilises the complete value chain – consisting of robot- and inspection technology providers, inspection service companies and end users – in order to develop innovative inspection robots and validate these solutions in use cases. Innovative aspects include: 1. Improved navigation and mobility capability and autonomy of robots. 2. Adaptation of inspection technologies to robot usage. 3. Integration of robot and inspection technology components and software development that specifically meet the sector’s needs. 4. Demonstration and validation of the solutions in real field. In order to accelerate deployment of validated solutions substantial attention will be paid to: - integration aspects (operations, safety, cleaning and inspection procedures, adaptation of plant for robot acces, inspection standards); - establishing deployment potential; - investigating market uptake routes. Main impacts are: 1. Opening of new markets for robot inspection (hardware and services: € 300 mln/year). 2. Cost reductions through reduced shut-down times and inspection related costs. Savings for industries using pressure vessels and storage tanks are estimated at € 350 mln/year. 3. Stimulation of innovation in robotics and robot inspection services. 4. Reduction of exposure of personnel to hazards related to confined space entry.

Keywords: robot technology,mobile robots,inspection technology,service robotics,non destructive testing,inspection,asset integrity management,oil&gas industry,petrochemical industry
Dynamic Media Service Creation, Adaptation and Publishing on Every Device (MEDIASCAPE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Spain,Germany,United Kingdom,France,Norway
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-09-23
End date: 2016-02-29
Duration (months): 32.0
Total project cost (EUR): 4116993.0
EU funding (EUR): 3110993.0
Participants: 7
Project status: CLOSED

We are currently witnessing a strong trend towards powerful web-based applications – a trend which is also driving the progress of HTML5 where a wider range of devices are becoming capable of running such applications. However, most applications are running on these devices separated from each other or, at best are only loosely coupled. The growing interest in 2nd-screen solutions within the Connected TV sector clearly shows that users expect a more consistent experience across different devices and their applications. However, to do this, broadcasters and application developers currently need to implement, distribute and maintain a set of rather complex technical solutions tailored to each of the specific target platforms. A more versatile solution would allow the implementation of applications independent from the target devices and the application itself would be able to run across multiple user devices. The user could then smoothly move parts of the functionality from one device to another in an intuitive manner and the application would adapt itself to the device. Essentially, the challenge is to take connected service development to a new level. MediaScape will lay the foundations for advanced connected multi-user services via a standardised approach integrated into the HTML5 paradigm. The project also seeks to facilitate the marriage of the TV, PC and Mobile worlds through a standard solution that includes real-time delivery and synchronisation of media contents and applications/services across a variety of devices. Working with the W3C and liaising with HbbTV and YouView, MediaScape will enable future services that define multi-user and multi-devices media-viewing experiences for millions of European users, fostering the materialisation of new service concepts and business models, and in a manner that is standard-based and interoperable. Collectively, the project consortium encompasses the knowledge and skills necessary to achieve this objective.

Keywords: connected media,multi-user authentication,multi-device adaptation,media-viewing experiences,html5,hbbtv,youview,standard-based,interoperable,hybrid broadcast-internet,synchronisation
Field Operational Test Networking and Data Sharing Support (FOT-NET DATA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Coordination and support actions
Countries involved: Finland,Belgium,Sweden,Germany,Spain,United Kingdom,France,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2014-01-01
End date: 2016-12-31
Duration (months): 36.0
Total project cost (EUR): 1777002.0
EU funding (EUR): 1400000.0
Participants: 9
Project status: CLOSED

FOT-Net Data is a Support Action for international co-operation that targets efficient sharing and re-use of global data sets. It continues European and international networking activities in the domain of Field Operational Tests (FOT). During the lifetime of the different FOTs carried out both at national and European levels, there is a crucial need for a networking platform allowing individual FOTs to benefit from each other’s experiences as well as giving a better overview of the scattered activities. While FOT-Net 1&2 were focusing on setting up the FOT network and maintaining the FOT methodology, FOT-Net Data explicitly addresses the need to exploit the collected data. The prime goal of FOT-Net Data is to maintain and increase the momentum achieved in FOT-Net and develop the strategy for sharing and exploiting collected FOT data in National, European and international FOTs (e.g. US and Japan). FOT-Net Data develops and promotes a framework for sharing data. It takes into account the pre-requisites necessary in the FOTs, such as legal agreements, to enable future re-use of collected data. More importantly, it addresses the actual data sharing and the procedures, templates and services needed for successful research on data gathered in earlier projects. It builds a detailed catalogue of available data, enabling organizations to easily assess the value of different data sets for their research purposes. FOT-Net Data will act as a multiplier for the dissemination and awareness of FOT activities especially in terms of inter-activities support and outreach. During 36 months, the FOT Network will meet in 4 FOT data sharing workshops, 5 webinars, one FESTA revision workshop, 3 European concertation meetings and 3 international FOT meetings. The action includes stakeholder and expert groups playing a key data management role in previous and ongoing FOTs.

Keywords: fot field operational test data access
A CANcer Development mOnitor (CANDO)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Spain,Sweden,Germany,Spain,Germany,Belgium,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2014-01-01
End date: 2017-08-31
Duration (months): 44.0
Total project cost (EUR): 5298526.0
EU funding (EUR): 4000000.0
Participants: 10
Project status: CLOSED

Through further development, integration and validation of micro-nano-bio and biophotonics systems from previous projects CanDo will develop an instrument that will permit the identification and concentration determination of rare cells in peripheral blood for two key societal challenges, early and low cost anti-cancer drug efficacy determination and cancer diagnosis/monitoring. A cellular link between the primary malignant tumor and the peripheral metastases, responsible for 90% of cancer-related deaths, has been established in the form of circulating tumor cells (CTCs) in peripheral blood. Furthermore the relatively short survival time of CTCs in peripheral blood means that their detection is indicative of tumor progression thereby providing in addition to a prognostic value an evaluation of therapeutic efficacy and early recognition of tumor progression in theranostics. In cancer patients however blood concentrations are very low (=1 CTC/1E9 cells) and current detection strategies are too insensitive, limiting use to prognosis of only those with advanced metastatic cancer. Similarly problems occur in therapeutics with anti-cancer drug development leading to lengthy and costly trials often preventing access to market. There is therefore a clear need for a novel analytical platform capable of highly reproducible and reliable identification of CTC concentrations of interest in an easily accessible format. With all relevant industrial stakeholders and users onboard CanDo is uniquely capable of delivering such a platform. Its novel cell separation/SERS analysis technologies plus nucleic acid based molecular characterization will provide an accurate CTC count with high throughput and high yield meeting both key societal challenges. Being beyond the state of art it will lead to substantial share gains not just in the high end markets of drug discovery and cancer diagnostics but due to modular technologies in others e.g. transport, security and safety and environment.

Keywords: heterogeneous integration,micro-nano-bio photonic system,lab-on-chip,cell sorting,multiparameter biosensors,ctcs,epcam,point of care,early disease detection,pancreatic cancer diagnostic.
DEEP Extended Reach (DEEP-ER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Special Action
Action type: Collaborative project
Countries involved: Germany,Germany,Germany,Germany,Italy,Spain,United Kingdom,Belgium,France,Netherlands,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2017-03-31
Duration (months): 42.0
Total project cost (EUR): 9823190.0
EU funding (EUR): 6430000.0
Participants: 14
Project status: CLOSED

The proposed project DEEP-ER (DEEP-Extended Reach) addresses two significant Exascale challenges: the growing gap between I/O bandwidth and compute speed, and the need to significantly improve system resiliency. DEEP-ER will extend the Cluster-Booster architecture of the Dynamical Exascale Entry Platform (DEEP) project by a highly scalable I/O system and will implement an efficient mechanism to recover application tasks that fail due to hardware errors. The project will leverage new memory technology to provide increased performance and power efficiency. As a result, I/O parts of HPC codes will run faster and scale up better HPC applications will be able to profit from checkpointing and task restart on large systems reducing overhead seen today. Systems that use the DEEP-ER results can run more applications increasing scientific throughput, and the loss of computational work through system failures will be substantially reduced. DEEP-ER will build a prototype with the second generation Intel® Xeon Phi processor, a uniform high-speed interconnect across Cluster and Booster, non-volatile memory on the compute nodes, and network attached memory providing high-speed shared memory access. A highly scalable and efficient I/O system based on the BeeGFS file system from Fraunhofer-ITWM will support I/O intensive applications, using optimised I/O middleware SIONlib and E10. A multi-level checkpoint scheme will exploit scalable I/O and fast, non-volatile memory close to the nodes to reduce the overhead of saving state for long-running tasks. The OmpSs based DEEP programming model will govern the creation of checkpoints and restart failed tasks from the beginning or recover saved state depending on their granularity. Seven important HPC applications will be optimised demonstrating the usability, performance and resiliency of the DEEP-ER Prototype. The applications come from different scientific and engineering areas and represent requirements of simulation-based and data-intensive HPC codes.

Keywords: deep,exascale,resiliency,i/o,non-volatile memory,network attached memory
Silicon Microphone (SIMIC)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Austria,Spain
Call:  (FP7-PEOPLE-2013-IAPP, 2013)
Start date: 2013-10-01
End date: 2017-09-30
Duration (months): 48.0
Total project cost (EUR): 552227.05
EU funding (EUR): 552227.05
Participants: 2
Project status: CLOSED

MEMS (Micro-Electrical-Mechanical System) based microphones, so called “silicon microphones” - are relevant in many applications as their manufacturability is better compared to electret condenser mics (ECM). Often MEMS mics hold embedded ADCs (Analog-to-Digital Converter) on the same CMOS chip. Those “digital output mics” perfectly fit into innovative digital products e.g. smart phones. Extremely small form factors and better performance in dynamic range and high sound pressure levels (voice recognition&command, music recording) are highly requested. The project aims to develop revolutionary components for Silicon based microphones (SiMic) to satisfy challenging requirements of multiple marketplaces. On a European level innovations from academia will be directly transferred into marketable products for a global market, supporting the top level research and jobs in European semiconductor industry. UC3M is well known for its highly innovative concepts and forefront research. Quality of those concepts strongly depends on features of the technologies needed for system integration, competitiveness of academia is connected to the access to latest manufacturing technologies. SiMic collaboration approach guarantees, that UC3M system and circuitry concepts will be leading edge within the EU. IFAT is the second largest supplier of SiMiCs using ASIC designs, similar to those used with ECM. From customer feedback IFAT anticipates the need for advanced electronics and sensors with focus on developing new ASICs for novel read-out topologies for existing and new MEMS sensors. IFAT envisions possible techniques to cope with the challenges but it is extremely difficult to find the researchers (and a budget) to cover the risks related to unproven concepts. Therefore the requested funding will be used for target oriented innovation with room for creative concepts thus enabling new products for a growing market and investment in more resources at the research institute.

Keywords: audio,microphone,silicon,mems,asic,mixed signal,low power,semiconductor industry,high performance/low noise,high pressure,heterogeneous integration,multi technology,system in package
Clearing Clutter Bit by Bit (SQUIRREL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Austria,Germany,Austria,United Kingdom,Netherlands,Germany,Portugal,Germany,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2014-02-01
End date: 2018-01-31
Duration (months): 48.0
Total project cost (EUR): 8476756.0
EU funding (EUR): 6359989.0
Participants: 12
Project status: CLOSED

Clutter in an open world is a challenge for many aspects of robotic systems, especially for autonomous robots deployed in unstructured domestic settings, affecting navigation, manipulation, vision, human robot interaction and planning. SQUIRREL addresses these issues by actively controlling clutter and incrementally learning to extend the robot's capabilities while doing so. We term this the B3 (bit by bit) approach, as the robot tackles clutter one bit at a time and also extends its knowledge continuously as new bits of information become available. SQUIRREL is inspired by a user driven scenario, that exhibits all the rich complexity required to convincingly drive research, but allows tractable solutions with high potential for exploitation. We propose a toy cleaning scenario, where a robot learns to collect toys scattered in loose clumps or tangled heaps on the floor in a child's room, and to stow them in designated target locations. We will advance science w.r.t. manipulation, where we will incrementally learn grasp affordances with a dexterous hand; segmenting and learning objects and object category models from a cluttered scene; localisation and navigation in a crowded and changing scene based on incrementally built 3D environment models; iterative task planning in an open world; and engaging with multiple users in a dynamic collaborative task. Progress will be measured in scenarios of increasing complexity, starting with known object classes, via incremental learning of objects and grasp affordances to the full system with failure recovery and active control of clutter, instantiated on two different robot platforms. Systems will be evaluated at an end user site where children in nurseries teach the robot how to clean up, and will be exploited by an industrial partner with a strong market presence in advanced robotic toys, who will take up project outcomes to be integrated in their current line of developments.

Keywords: cognitive systems,robotics,mobile manipulation,complex scenes,clutter,incremental learning,bit-by-bit paradigm,open world planning
Co-operative Systems in Support of Networked Automated Driving by 2030 (AUTONET2030)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Collaborative project
Countries involved: Greece,Italy,France,Sweden,United Kingdom,Switzerland,Slovakia,Germany,Sweden,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 4589044.0
EU funding (EUR): 3349570.0
Participants: 11
Project status: CLOSED

AutoNet2030 shall develop and test a co-operative automated driving technology, based on a decentralised decision-making strategy which is enabled by mutual information sharing among nearby vehicles. The project is aiming for a 2020-2030 deployment time horizon, taking into account the expected preceding introduction of co-operative communication systems and sensor based lane-keeping/cruise-control technologies. By taking this approach, a strategy can be worked out for the gradual introduction of fully automated driving systems, which makes the best use of the widespread existence of co-operative systems in the near-term and makes the deployment of fully automated driving systems beneficial for all drivers already from its initial stages. The main idea is to achieve intelligent decision-making in fully automated vehicles through local group formation, by using co-operative communications to exchange input data and maneuvering control commands. Such co-operation is meant not only among automated vehicles, but extends also to manually driven vehicles; automated vehicles will locally coordinate the maneuvering of all surrounding vehicles, making driving thereby more predictable and safer also for manually driven cooperative vehicles. This system shall be optimised to make safe, predictable, and efficient maneuvering decisions. The control algorithm shall be aware of the precise dynamics of surrounding vehicles, the wider view of lane interconnections/destinations, and the possible alternative maneuvers to select in case of unexpected events. Drivers will receive maneuvering instructions on their HMI; the ergonomy and non-distraction of this new user interface shall be validated. In summary, the automotive industry will have answers for the upcoming transportation challenges of ever-growing urban conglomerations and will have a deployment strategy of automated driving which benefits all drivers already during the transition period towards full transport automation.

Keywords: automated driving,advised maneuvering,cooperative systems,dynamic vehicle clustering,fault-tolerant maneuvering