Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Researching crowdsourcing to extend IoT testbed infrastructure for multidisciplinary experiments, with more end-user interactions, flexibility, scalability, cost efficiency and societal added value (IOT LAB)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Switzerland,Serbia,Greece,Denmark,Sweden,United Kingdom,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): 3347933.0
EU funding (EUR): 2565000.0
Participants: 8
Project status: CLOSED

IoT Lab is a research project exploring the potential of crowdsourcing to extend IoT testbed infrastructure for multidisciplinary experiments with more end-user interactions. It will research and develop: 1. Crowdsourcing mechanisms and tools enabling testbeds to use third parties resources (such as mobile phones), and to interact with distributed users (the crowd). The crowdsourcing enablers will address issues such as privacy by design, identity management, security, reputation mechanisms, and data ownership. 2. Virtualization of crowdsourcing and testbed components by using a meta-layer with an open interface, facilitating the integration and interaction with heterogeneous components. It should ease data integration and reduce the cost of deployment in real environment. 3. Ubiquitous Interconnection and Cloudification of the testbeds resources. It will research the potential of IPv6 and network virtualization to interconnect heterogeneous and distributed resources through a Virtual IoT Network and will integrate them into the Cloud to provide an on-line platform of crowdsourcing Testbed as a Service (TBaaS) available to the research community. 4. End-user and societal value creation by analyzing the potential end-users and crowdsourcing participants to propose an optimized model for end-user adoption and societal value creation. 5. “Crowdsourcing-driven research” as a new model in which the research can be initiated, guided and assessed by the crowd. It will compare it to other models. 6. Economic dimension of crowdsourcing testbed, by analyzing the potential markets and business models able to monetize the provided resources with adequate incentives, in order to optimize the exploitation, costs, profitability and economic sustainability of such testbeds. It will also develop tools for future experiments. 7. Performing multidisciplinary experiments, including end-user driven experiments through crowdsourcing, to assess the added value of such approach.

Keywords: lab,corwd sourcing,virotualization,mobility,cloudification,end-user,societal value,economic,sustainability,ipv6
Media in Context (MICO)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Austria,Germany,Germany,Sweden,United Kingdom,Italy,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): 4347613.0
EU funding (EUR): 3452000.0
Participants: 7
Project status: CLOSED

With the tremendous increase in multimedia content on the Web and in corporate intranets, discovering hidden meaning in raw multimedia is becoming one of the biggest challenges. Analysing multimedia content is still in its infancy, requires expert knowledge, and the few available products are associated with excessive price tags, while still not delivering sufficient quality for many tasks. This makes it almost impossible for normal companies, particularly SMEs, to make use of this technology. Also, analysis components typically operate in isolation and do not consider the context (e.g. embedding text) of a media resource. MICO addresses these problems as follows: - it will consider "media in cross-media context", allowing to analyse media resources as well as connected content, including video, images, audio, text, link structure and metadata - it will investigate cross-media analysis along the complete, distributed analysis chain, namely extraction, metadata publishing, querying and recommendations - it will develop harmonized models and software services for orchestration of analysis components, representing and publishing of analysis results, and querying and evaluating such results - it will contribute its main software development results as Open Source components to two established Apache projects, Apache Marmotta and Apache Stanbol, simplifying the use of the technology in industrial products The technology will be evaluated in two complementary use cases: crowd sourcing for academic research at Zooniverse (most successful crowd science platform) and video sharing at KIT digital (one of the biggest enterprise video sharing providers). Through its involvement in the Apache Software Foundation, the project partners will reach out to many technology companies and have access to a large community already at the beginning of the project. Publishing the main results as Open Source will enable particularly SMEs to benefit from cross-media analysis technology.

Keywords: cross-media analysis,cross-media extraction,cross-media metadata publishing,cross-media querying,cross-media recommendations,citizen science,video sharing,apache software
NanoStreams: A Hardware and Software Stack for Real-Time Analytics on Fast Data Streams (NANOSTREAMS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: United Kingdom,Netherlands,Switzerland,Greece,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-09-01
End date: 2017-02-28
Duration (months): 42.0
Total project cost (EUR): 5050201.0
EU funding (EUR): 3300000.0
Participants: 7
Project status: CLOSED

NanoStreams co-designs a micro-server architecture and software stack that address the unique challenges of hybrid transactional-analytical workloads, which are encountered by emerging applications of real-time big-data analytics. To this end, NanoStreams brings together embedded system design principles, application-specific compilers, and HPC software practices. The processor technology that underpins the NanoStreams micro-server is an amalgam of RISC cores and nano-cores, a new class of programmable custom accelerators. Novel automatic compiler generation and parameterization technology enables low-effort programming and integration of nano-cores into application-specific, many-core accelerators. The proposed heterogeneous Analytics-on-Chip processor forms the backbone of the NanoStreams micro-server, which further leverages a hybrid DRAM-PCRAM memory system and a non-cache-coherent scale-out architecture to achieve extreme energy-efficiency. The software stack of the NanoStreams micro-server is rooted in domain-specific languages for analytical queries, which the project implements with a streaming dataflow execution model. The language runtime system uses real-time scheduling, performance isolation techniques and region-based memory management to minimize latency on the transactional path and maximize throughput on the analytical path. NanoStreams virtualizes lightweight PCRAM-based persistent memory, for direct user access and locality optimization. The project will deliver a real-silicon prototype, based on the Xilinx Zynq platform and ARM-Linux. The quantitative objective of NanoStreams, in comparison with contemporary HPC servers, is to reduce analytical response time of commercial in-memory databases by at least 30%, while sustaining transactional throughput and improving system energy-efficiency and programmability. NanoStreams will demonstrate these advances with industry-standard workloads and four real-world case studies.

Keywords: real-time analytics,big data,micro-servers,programmable accelerators,hybrid memory systems
Integrated SYsteM based on PHOtonic Microresonators and Microfluidic Components for rapid detectioN of toxins in milk and dairY products (SYMPHONY)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Italy,United Kingdom,Sweden,Netherlands,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2017-01-31
Duration (months): 39.0
Total project cost (EUR): 3127300.0
EU funding (EUR): 2345378.0
Participants: 7
Project status: CLOSED

In the milk industry, one of most pressing unmet needs is the timely detection of mycotoxins that originate from animal feed and are secreted into milk. In particular, milk and dairy products can be contaminated by aflatoxin M1, a potent carcinogen. The aflatoxin contamination represents a hazard for human health and an economic loss for the dairy industry. The available technology for aflatoxin detection is i) laboratory-based, ii) requires sample preparation, iii) does not provide timely identification of the carcinogen, thus iv) fails to deliver cost-effective management of contaminated milk. In this context, the SYMPHONY project aims to overcome these limitations by the integration of heterogeneous technologies, encompassing photonics, microfluidics and system integration, in a miniaturised smart system that will perform low cost label free detection of aflatoxin in milk and prevent infection of dairy products. The main goal is to produce an automated sampling and analysis system to be used on-line in Hazard Analysis and Critical Control Points (HACCP). In our strategy the following key enabling technologies will converge: 1) microfluidic technologies and biochemistry, to provide a miniaturised device capable of sample purification and pre-concentration by using the selectivity of aptamers and antibodies; 2) photonic resonators integrated in microsystem technologies, for highly sensitive detection; 3) compact hardware for the integration in the production chain and communication interfaces compatible with the information system of the industry. In our vision, the system will represent a breakthrough for the dairy industry, leading toward precision process management. The smart system will be assessed on site and end-users will be involved in the evaluation of technical results, thus creating a close collaboration between SMEs who supply sensors, systems and microsystems, and to improve the exploitation of MNBS in industrial settings.

Keywords: heterogeneous microsystems for food safety,aflatoxin m1 contamination in milk,hazard analysis and critical control points (hacc),photonic sensors,microfluidics and integrated sample treatment
European Robotic Pedestrian Assistant 2.0 (EUROPA2)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Germany,United Kingdom,Belgium,Switzerland,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): 4479490.0
EU funding (EUR): 3419995.0
Participants: 6
Project status: CLOSED

There has been a tremendous progress in the development of autonomous robots that offer different services to their users. Typical services include the support of elderly people, cleaning, delivery tasks, autonomous driving, or surveillance. Most of the systems developed so far, however, are restricted to indoor scenarios, to non-urban outdoor environments, or to autonomous driving on roads. Furthermore, substantial efforts are required to deploy such robots in new environments. Urban areas are highly dynamic and complex and introduce numerous challenges to autonomous robots. They require solutions to several complex problems regarding the perception of the environment, the representation of the robot's workspace, models for the expected interaction with users to plan actions, state estimation as well as the states of all dynamic objects, the proper interpretation of the gathered information including semantic information as well as long-term operation. The goal of the EUROPA2 project, which builds on top of the results of the successfully completed FP7 project EUROPA, is to bridge this gap and to develop the foundations for robots designed to autonomously navigate in urban environments outdoors as well as in shopping malls and shops, for example, to provide various services to humans. Based on the combination of publicly available maps and the data gathered with the robot's sensors, it will acquire, maintain, and revise a detailed model of the environment including semantic information, detect and track moving objects in the environment, adapt its navigation behavior according to the current situation and anticipate interactions with users during navigation. A central aspect in the project is life-long operation and reduced deployment efforts by avoiding to build maps with the robot before it can operate. EUROPA2 is targeted at developing novel technologies that will open new perspectives for commercial applications of service robots in the future.

Keywords: robotics,navigation,vision,mapping,semantic information,long-term operation
Sustainable Manufacturing Adaptive Services with Cloud Architectures for Enterprises (SMARTER)

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: United Kingdom,Sweden,Spain,Sweden,United Kingdom,Germany
Call:  (FP7-PEOPLE-2013-IAPP, 2013)
Start date: 2014-01-01
End date: 2017-12-31
Duration (months): 48.0
Total project cost (EUR): 1515296.93
EU funding (EUR): 1515296.93
Participants: 8
Project status: CLOSED

It is paramount and timely for European manufacturing companies to adopt energy/carbon-related evaluation, planning and monitoring systems to enhance their sustainable competitiveness. This project is aimed at establishing effective industry-academia partnerships and pathways for sustainable manufacturing management by developing, deploying and demonstrating intelligent Cloud-based services (SMARTER services) to address dynamics and complexity in product development and manufacturing. The overall, project-level objectives include: • Objective 1: To team up and second intersectoral researchers to enrich knowledge bases and achieve research synergies in sustainable manufacturing by sharing the latest research on know-how, strategies, technologies and industrial case studies, and to provide cross-sectional engineering training to researchers to develop versatile and multi-disciplinary applied research skills; • Objective 2: To integrate and demonstrate the complementary expertise of the intersectoral teams to devise Cloud-based sustainability services and supporting platform. The services and platform will be developed through integration and further development of core technologies from academic and industrial partners, and verification by real-world case studies in product development and manufacturing. The services and supporting platform will address the multi-faceted requirements and dynamics of modern manufacturing; • Objective 3: To showcase as real-world shop-floor demonstrators deployed in various venues of European industries and research institutes for technical demonstration, promotion and adoption; and to organise knowledge sharing and outreach activities for relevant communities and stakeholders in wider regions of the EU to increase the awareness of the project outcomes and to exploit the proposed solutions in order for EU manufacturers to shift towards sustainability efficiently.

Keywords: sustainable manufacturing,manufacturing planning,eco-design,wireless energy sensor networks,cloud manufacturing,software services
BRIDGING THE GAP FOR ENHANCED BROADCAST (BRIDGET)

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,Germany,France,Italy,Spain,Italy
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 5286751.0
EU funding (EUR): 3547278.0
Participants: 9
Project status: CLOSED

BRIDGET will open new dimensions for multimedia content creation and consumption by enhancing broadcast programmes with bridgets: links from the programme you are watching to external interactive media elements such as web pages, images, audio clips, different types of video (2D, multi-view, with depth information, free viewpoint) and synthetic 3D models. Bridgets can be: • created automatically or manually by broadcasters, either from their own content (e.g., archives, Internet and other services) or from wider Internet sources; • created by end users, either from their local archives or from Internet content; • transmitted in the broadcast stream or independently; • filtered by a recommendation engine based on user profile, relevance, quality, etc.; • enjoyed on the common main screen or a private second screen, in a user-centric and immersive manner, e.g., within 3D models allowing users to place themselves inside an Augmented Reality (AR) scene at the exact location from which the linked content was captured. To deliver the above, BRIDGET will develop: • a hybrid broadcast/Internet architecture; • a professional Authoring Tool (AT) to generate bridgets and dynamic AR scenes with spatialised audio; • an easy-to-use AT for end users; • a player to select bridgets, and consume and navigate the resulting dynamic AR scenes. The AT and player will use a range of sophisticated and innovative technologies extending state-of-the-art media analysis and visual search, and 3D scene reconstruction, which will enable customised and context-adapted hybrid broadcast/Internet services offering enhanced interactive, multi-screen, social and immersive content for new forms of AR experiences. BRIDGET tools will be based on and contribute to international standards, thus ensuring the creation of a true horizontal market and ecosystem for connected TV and contributed media applications.

Keywords: hybrid broadcast/internet content,second screen,visual search,augmented/mixed reality,content authoring tools,standardisation
Personalised Centralized Authentication System (PCAS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Portugal,Spain,Norway,France,Israel,Portugal
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 4490252.0
EU funding (EUR): 3249250.0
Participants: 7
Project status: CLOSED

PCAS aims at providing an innovative, trustworthy, handheld device. The Secured Personal Device (SPD) will allow users to securely store their data, to share it with trusted applications, and to easily and securely authenticate him. The SPD will recognize its user using multiple biometric sensors, including a stress level sensor to detect coercion. Using the same biometric authentication, the SPD will be able to enforce secure communication with servers in the cloud, relieving the user from memorizing passwords. The SPD will take the form of a smartphone add-on that draws power from the smartphone and uses its communication services. The security and authentication mechanisms will use software components running on the SPD, on the smartphone, and in the cloud. These software components will enable the use of biometric sensors to perform authentication on the smartphone and on the cloud, authorize access to the stored data on the SPD and securely transfer data from/to remote devices: USB or NFC connected computers or remote web services. The project will develop a full environment composed of programming APIs (needed to develop trusted applications) and modules that allow the easy integration of PCAS with existing web services. The benefits of the project will be demonstrated with two use cases: electronic health and university campus access control. The consortium is composed of a set of seven dynamic research institutes and SMEs. The partners have a combination of expertise that make this challenging project possible: computer systems’ security,biometrics, security assessment, embedded systems and electronic health. PCAS is expected to have a high impact in security and privacy in mobile devices, part of the call’s objective 1.5. The project will enable a trustworthy ICT ecosystem, removing citizens’ psychological barriers to the adoption of eHeath and other novel ICT applications. The project will also foster novel market segments that exploit these applications.

Keywords: mobile biometric authentication secure storage biometric web services authentication
General-Purpose Programmable Evolution Machine on a Chip (EVOPROG)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: United Kingdom,Spain,United Kingdom,United Kingdom,France
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 3844621.0
EU funding (EUR): 2939996.0
Participants: 6
Project status: CLOSED

Despite recent advances in in vivo directed evolution techniques and the interest they have attracted so far, their impact in applied biotechnology is limited because of their limitations in programmability, selective drivers, cost and scalability. Here, we propose to construct a general-purpose programmable evolution machine able to quickly evolve new biomolecules or phenotypes in bacterial cells. The proposed device will use existing phage technology and synthetic regulation to engineer a programmable directed evolution machine able to produce biomolecules or biocomputational functionality two orders of magnitude faster than conventional techniques, while consuming fewer consumables. In its core, living matter will be subject to combinatorial search algorithms that will exploit large numbers of small, separate, bacterial populations. Each one will contain phage that evolve under different custom fitness selections. The different phage will then be recombined according to combinatorial optimization strategies. The software and hardware design of our device is inspired by microprocessor manufacturing practice. Hence, in addition to the genetic devices for phage engineering, mutation, recombination and selection, we will develop: i) fluidic modules for cell and phage growth, ii) their hardware primitives, iii) a custom instruction set architecture, and iv) a high-level language with its compiler. We will demonstrate the operation of our device by engineering site-specific ribonucleases and nucleases with real-world applications, such as anti-HIV activity. We will also develop applications for new type of distributed bacterial computing using phage communication. We will thus put in place the foundations and approaches for this radical living technology that will impact ICT as well as many areas beyond, such as biology, chemistry and manufacturing.

Keywords: directed evolution,phage,synthetic biology