Only few seat are available for the FIRE forum 2015 in Brussels on 9 Dec 2015.
Learn more and register at http://www.ict-fire.eu/news/view/article/fire-forum-2015-invitation.html
Only few seat are available for the FIRE forum 2015 in Brussels on 9 Dec 2015.
Learn more and register at http://www.ict-fire.eu/news/view/article/fire-forum-2015-invitation.html
FIWARE programme promotion at local level has been crucial for involving startups and SMEs not only to FIWARE, but also to Europe research and innovation environment.
Extensive experience of ceFIMS-CONNECT partners extracted from (co-)organizing and running different events and actions related to FIWARE programme promotion in 2014 have been compiled into a recommendations report available at http://www.cefims.eu/2014/11/fiware-accelerator-recommendations/.
Since no new FIWARE calls are expected, the content and orientation of these promotion events may evolve. The new focus points we recommend are:
ceFIMS-CONNECT is looking for short articles describing Future Internet and 5G initiatives and developments in European countries.
Started in December, 2014, as a dedicated publication for the FIF members, the Monitor concept is now extended to all national Future Internet and 5G stakeholders, including three different types of Monitors:
If you have news to share, please E-mail submission to alicja (at) man (dot) poznan (dot) pl or jclarke (at) tssg (dot) org or submit to our LinkedIn group discussion. Article submissions typically range from 600 to 1,000 words, with a short feature on the author(s)
See the template and example submissions at http://www.cefims.eu/publications/#monitors
Submissions received will be highlighted in the ceFIMS-CONNECT and FIRE newsletters, reaching well over 1,000 targets.
The 18th FIRE Newsletter is now available at: http://www.ict-fire.eu/home/publications/newsletters.html
This Newsletter provides information about upcoming events, Open Calls and finished projects that continue to operate under the Open Access instrument (ie. BonFIRE and OFELIA).
It also reports on the results of recent Open Calls and other past events, and reminds about the FIRE polls, which are a simple mechanism to help define the contents of the next FIRE Workprogrammes.
The FIRE newsletter is brought to you by the AmpliFIRE Support Action.
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This project aims to study theoretical aspects of networked digital communications. It will focus on information-theoretic considerations, to investigate both new fundamental theoretical results and also propose designs and guidelines inspired by these results. The suggested research is motivated by wireless sensor and ad-hoc networking, and by future cellular wireless systems with advanced cooperation between cells (relaying and coordinated multi-point transmission). However the principles are general and will find applications also in related fields, in particular in the evolution of the (wired and wireless) Internet.
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The research in “Content Based Query Concept for Exploration and Discovery of Information in Earth Observation and Medical Libraries” – CONCEDE project aims at enhancing the functionalities of the Earth Observation (EO) Payload Ground Segment systems and the next-generation services for an enhanced data realisation.
With an exponential increase of available data volume, the need for a new generation of data mining tools and knowledge discovery in databases concepts becomes emergent. CONCEDE pursues to develop a complete and embracive theoretical and applicative framework that will allow for a compendious exploration of heterogeneous data resources, resulting in the discovery of semantic information hidden in image libraries. A demonstrator will be generated in order to validate and evaluate the capabilities of the proposed concept. The project’s objectives envisage three main contribution: to European Space Agency (ESA) research activities, to new applications solutions development and to scientifically development.
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LINK:http://ceospacetech.pub.ro/index.php/research/concede
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The aim of this research group is to investigate and develop novel intelligent-based technology and techniques that can be used to provide integrated access to disparate information sources distributed across the Internet as well as basic technologies and toolkits apt to support the realization of intelligent-based systems in modern telecommunications
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LINK:http://www.um.edu.mt/ict/ics/research/groups/ist
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The project aims to enhance cross-border IT R&D and Innovation networks among Vilnius, Grodno and Minsk science institutions in order to develop and strengthen their linkage to IT enterprises. The project partners intend to achieve this by designing innovative cross-border Cloud Computing (CC) cluster uniting Lithuania and Belarus and based on the latest CC technologies.
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LINK:http://www.enpi-cbc.eu/go.php/eng/1S_906_project_LLB_2_142/1026
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This project seeks to produce a decision making system for automatic diagnostics solutions of skin and lung cancers on the base of IT- analysis of data images received from patient using the multi-spectral optical system. IT based solution system will reduce the possibility of human error due to a lack of specialised personnel. A standardized database of clinical examples will be constructed, developed and implemented on the back of Belorussian and Lithuanian partners’ infrastructure.
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The project is aimed at developing segments of a Semantic Web information infrastructure and its deductive mechanisms. The Semantic Web represents a set of a broad array of distributed Web services ranging from structurally simplest ones, such as those for intelligent information search, to most complex ones, such as e-business services, which include intelligent autonomous agents as business entities, ontologies as the information basis (including business rules systems structured as ontologies) and deductive mechanisms that enable agent autonomy and intelligence as well as intelligent and purposeful behaviour of the system as a whole. In particular, within the project specific ontologies relevant for the Croatian academic community are investigated.
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LINK:http://www.foi.unizg.hr/eng/research/National-scientific-projects#
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Information and communications technology can increase infrastructure usage, improve safety, enhance travellers access to information and reduce transportation times as well as fuel consumption. Therefore advanced Intelligent Transportation Systems (ITS) are becoming increasingly widespread as a mean of optimizing transit operations and infrastructure usage. However, models currently used to describe and predict passengers lows across the network do not take adequately into consideration the effects brought about by ITS on transit operations and on user behavior. Hence, transport planning based onto ITS is not completely meaningful and does not exploit to the full the amount of high quality data made availabl. This deficiency can delay the realization of the benefits of enhanced passenger information provision.
The project aims to gathers together researchers in the field of transport and urban and regional planning, transport operators and authorities, consultancies and software developers. The main goal is to exchange knowledge and research in the field of transit assignment models, tailored to the era of Intelligent Transport Systems.
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Latvia is a country highly reliant on transportation services. But there is a lack of modern ICT tools. The main aim of this project is to develop such tools for the traffic system in Latvia. The team will develop algorithms for electrical signal processing and will develop controllers for projecting different vehicle weights.
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The overall aim of this project is to promote the integration of scientific research and the production and commercialization of research results in the IT sector. Realizing the project will involve creating new technologies that will facilitate and expedite security incidents and vulnerabilities discovery. The new technology makes it easier to investigate incidents in the prevention of detecting and to prevent potential attacks.
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LINK:http://www.lumii.lv/resource/show/688
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The main objective of the project is the creation of new innovative technology solutions to support healthcare systems of the next generation. In the near future, genomic medicine will be fully integrated in the care of patients and genomic data will be part of the medical information of each of us. If this scenario impacts positively on our lives (eg., Diagnosis genomic allow to treat individuals according to personalized therapies), at the same time several issues are raised which need to be addressed such as the way in which genomic data are modeled and queried, or the need to protect the privacy of sensitive information. In this project, the research team will focus on aspects of security and privacy, the key factors for successful integration of genomics in healthcare systems. How do we ensure that our sensitive genomic data are adequately protected? How to ensure that the privacy of individuals who participate in medical studies to be preserved? How to assure that only authorized parties to access genomic data? UNIMI will answer these and other questions by developing innovative solutions that address the issues of security and privacy related to the storage, collection, dissemination and use of genomic data.
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In modern applications there is an increasingly need of coordination models for distributed systems that can face the unpredictability of behaviour of certain system subparts that cannot be handled at design-time because of legacy or deployment issues. Examples include sensor networks, pervasive computing systems, and all those distributed and open systems that involve different entities (services, devices, sensors, humans, and so on) that should opportunistically interoperate.The main requirements of these scenarios are robustness against failures, situatedness and adaptivity, all of which are to be achieved without human or supervised control, thus calling for innovative coordination models. Such scenarios are typically tackled by drawing inspiration from natural systems, where an intrinsic self-organisation exist by which the globally intended behaviour emerges out of local interaction of individuals.
The research team seeks to develop new innovative techniques and tools for their analysis, design and deployment, are to be conceived. They have to support the designer in “controlling the emergence of adaptive behaviours” and in making qualitative and quantitate predictions about how the system works and about possible design errors.
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Bologna Smart City aims to create a strategic alliance between the world of research, business and public administration aiming to pool resources, talents and ideas to use Internet of Things technology to make the city more environmentally sustainable, reduce costs, avoid energy waste, improve the general quality of life, guarantee social inclusion and the right to participation, education and health, promoting culture as a means for the growth and economic development of the community.
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LINK:www.unibo.it/it/ricerca/progetti-e-iniziative/bologna-smart-city
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For safety-critical applications based on global satellite navigation systems (GNSS) a highly accurate and highly reliable time-delay estimation of the received signal needs to be ensured. Therefore, it is extremely important to develop and explore powerful innovative methods for highly accurate synchronisation of navigation receivers, even under difficult reception conditions. The use of array antennas together with appropriate signal processing methods, such as adaptive digital beamforming or high resolution parameter estimation methods (maximum likelihood parameter estimation) has been proven to be one of the key technologies for an effective and highly reliable suppression of multipath and radio interference.
Based on previous work in the project IMPOSANT, the SAMURAI (Sensor Array Processing for Multipath and Radio Interference Identification and Suppression ) project team will carry out further investigations and developments in this area. The work is concentrated in three main activities: development of signal processing, development of implementation concepts and testing under realistic conditions.
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LINK:http://itu.dk/en/Forskning/Forskningsprojekter/SmartOSN
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In this project research is done into the communication of haptic information in networked telemanipulation systems. The project team put a special focus on perceptual coding of haptic data streams and address this issue by exploiting the limitations of human haptic perception. The researchers also consider in our work error-resilient communication of haptic information in the presence of packet loss and communication delay.
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LINK:http://www.lmt.ei.tum.de/forschung/projekte/prohaptics.html#overview
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Technology scaling has reached a point at which process and environmental variability are no longer negligible. With every new technology generation the behavior of CMOS devices becomes less predictable. Process variability, aging, sensibility to radiation, etc. lead to bit flips on register-transfer level. New approaches are required which allow building reliable systems on an unreliable hardware. This project focuses its research on hardware-reliability in wireless communication systems. The team follow a cross-layer approach which exploits the mutual trade-offs of system performance, hardware reliability, and implementation complexity. Wireless systems are especially suited for this approach because they have an inherent algorithmic error resilience.
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LINK:http://spp1500.itec.kit.edu/286_297.php
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The main focus of the project is the development of “fair” applications which preserve the privacy of the users. The concept of fairness ensures that the computations are performed in a way that recognizes the users’ individual preferences on their inputs. There are many applications for which it is highly desirable to achieve both fairness and privacy simultaneously. The project has developed two applications to demonstrate their technology: the E-Chat application, an instant massager which was developed to demonstrate homomorphic cryptography, and an iPhone app which allows two parties to negotiate the time for a meeting in a privacy-preserving manner.
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LINK:http://www.prefairappl.info/
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Seven municipal utilities from all over Germany – Aachen Allgau, Duisburg, Leipzig, Osnabrück, Sylt, and Trier – have teamed up with “econnect Germany” to create a research network and compete successfully in the technology competition “ICT for Electric Mobility II” which is run by the Federal Ministry of Economics and Technology.
The goal of “econnect Germany” is to develop sustainable and intelligent electro-mobile traffic applications integrate electric vehicles into the smart grid of the future.These technologies are studied, developed and tested by means of information and communication technology. Special consideration will be given by the project team to developing applications for public utility infrastructure.
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LINK:http://dbis.rwth-aachen.de/cms/projects/econnect
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It is imperative to understand better the performance and capacity analysis of large-scale ad-hoc networks and cognitive wireless networks. This is necessary in order to develop better system conceptualisation and to provide fact based comparisons between different system architectures. This project will study different mathematical modelling methods for such capacity and performance analysis.
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Mobile multimedia data management is poses a great challenge to almost all non-functional requirements on future mobile information systems. Context- awareness and multimedia semantics are crucial approaches to meeting this challenge. Based on our prior results, the project focuses on developing mobile multimedia services with aspects of multimedia semantics and context awareness. Advanced hardware including the 3D outdoor scanner and the 3D object scanner will be integrated into the technological output to deliver high-quality multimedia data resources. Prototypes will be developed on different smartphones such as iPhone and Google G1 to prove the concept and demonstrate in practice.
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The aim of this project is to use Internet of Things technology to develop fault-tolerant and reliable controllers for digital hydraulic valves, The project team will design second generation digital hydraulic valves that are energy efficient. They also aim to improve the controllability and the fault tolerance of control systems via developing a modular control code.
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LINK:http://tucs.fi/research/research-units/dslab/#RUprojects
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The Communication Systems group studies the future internet with a focus on three viewpoints: information security, interactive applications, and embedded/distributed implementations. Information security research in Communication Systems concentrates on researching information security technologies for networked systems and applications of the communication-intensive future from the engineering and human points of view. The strategic goal in the group’s research is to apply research and technological development to building the secure information society. We consider the basic elements for human well-being as the most fundamental drivers for pursuing this strategic goal, in which the technology driven and human driven development directions meet.
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LINK:http://tucs.fi/research/research-units/comsys/#RUprojects
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Control system paradigms, based on Internet of Things technology, are an essential part of modern software systems. In the FReSCo project, a model will be developed for future resilient control systems capable of measuring a wide set of observables, including inexact ones derived from the environment. Because of the differences in the resources, protocols, and devices, inexact observables are incomparable with rigorous control system data. Hence, it is not easy to build systems which can incorporate such data. It is therefore necessary to derive a method for identifying and representing relevant context, as well as proposing a method which will describe the relation between the raw observables and the data.
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LINK:http://monet.uef.fi/wiki/FResCo
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The purpose of this project is to address the challenges that the secure and reliable operation of the power grids will face in the future. This will be done by developing a solid, interdisciplinary theoretical foundation capable of supporting the development of better tools for planning, operation and control of power grids which are interconnected across traditional national boundaries and at various voltage levels. It is our vision that by advancing phasor measurement technology and applications in wide areas of monitoring and control, many of these challenges can be met.
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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 by leveraging existing communication infrastructures. The 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.
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With the Energy Agreement of March 22, 2012 Denmark has succeeded in obtaining broad political commitment to an ambitious green transition that focuses on promoting renewable energy in all sectors. The agreement requires substantial expansion of wind power corresponding to the annual consumption of 1.5 million households. Thus in 2020 wind power will account for approximately 50% of Denmark’s electricity consumption compared to 25% today.
Moving towards intermittent energy sources such as wind power will challenge the electricity grid, as it implies supply-driven consumption in contrast to the consumer‐driven production, that we have today. The Energy Agreement focuses on Smart Grid technology as a means to face this challenge. However for Smart Grid to succeed, we need intelligent consumers, so-called prosumers, who automatically adjust their electricity consumption to the actual supply situation.
Accounting for approximately 1% (280 GWh) of the national electricity usage, commercial greenhouses are interesting as prosumers, as the majority of their electricity consumption is confined to a single production process: supplementary lighting for controlling crop growth.
This project will enable commercial greenhouses to become prosumers by developing the next generation of energy and cost efficient supplemental lighting systems that utilise the physiological flexibility of crops to provide balancing services in the Danish Smart Grid.
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The objective of the WallViz research project is to use develop wall-sized, interactive displays to improve decision making processes based on massive collections of data. The academic project participants address this objective in collaboration with case partners working in healthcare, finance, and sustainability. Their analysis of data is essential for the efficient use of resources and has direct consequences for businesses and society, for instance, by improving the resource efficiency of the healthcare sector, analyzing resource expenditure in companies, and helping to address climate change.
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LINK: http://wallviz.dk/
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Current telemedicine projects in social and health sciences only develop ad-hoc solutions to infrastructural challenges in the areas of, for example, connection, identification, secure communications, automatic switching between networks and data formats, and integration with electronic medical records.
This project aims to provide a basis for an open technical infrastructure to support the development of secure, scalable ICT-based social and health services. This infrastructure will build upon and complement existing infrastructures, particularly the Health Data Network, the National Service Platform, and the National Programme for telemedicine and home monitoring.
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LINK: http://www.partnerskabetunik.dk/projekter/connect2care.aspx
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Context awareness has the potential to revolutionise the way people interact with information technology. Whereas conventional computers merely interpret explicit user input, context-aware systems analyse and automatically respond to users’ behaviour and the situation he or she is in. This enables electronic systems to assist users in situations in which the use of conventional computers and or mobile devices is out of question. A particularly relevant field are is that of Healthcare, Wellness, and Assisted Living (HWA) applications, which is at the focus of the proposed network.
Research on context awareness has continued to intensify during the last decade due to the availability of cheap sensing technologies and mobile systems. Still, building reliable context-aware systems that can deal with complex real-life situations and environments remains an open research challenge and requires a multi-disciplinary effort. iCareNet aims to make a decisive contribution towards solutions in the area of human-computer interaction and in the area of the social factors involved in the deployment of context-aware applications.
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LINK: http://itu.dk/en/Research/~/link.aspx?_id=C7B852B27648458194AF6C02CE1D5D23&_z=z
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Data mining is the driving force behind a paradigm shift in the way we conceive models of our surroundings. Society relies extensively on models of physical, social, and economic phenomena, that give us the predictive power which allows us to build a bridge in the confidence that it will not collapse, forecast the effect of economic stimulus packages, select the best livestock for breeding, and so on. The massive amount of data that has become available opens the up opportunity for completely new ways of understanding and modeling data, through the use of algorithms. This project will explore the possibilities available in a new approach to massive data mining which has origins in advanced sampling methods of data stream algorithmics.
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LINK:itu.dk/en/Research/~/link.aspx?_id=691A59A67CE64415ACAAAC486820FC23&_z=z
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The shift towards e-Science and the use of computational techniques in the sciences brings with it the need for effective analyses of very large collections of often complex scientific data.
Much of today’s data handling, ranging from measuring relevant variables, to data collection, to integration, to analysis, and finally to decision making, is processed through automated techniques. The term e-science (electronic or enhanced science) is used to denote this type of data intensive and computationally intensive work in collaborative science. Analytical results and decision making are based on various processes, each of which might introduce errors.
This project aims to provide a foundation for e-Science by developing novel techniques that enable scientists to detect and correct anomalies in source data, in an on-line, interactive, lineage-preserving, and semi-automatic manner. This contrasts traditional algorithms that operate in a batch manner on static data and require data mining expertise for their use. We propose a new paradigm that allows domain experts to tap into the full potential of data mining by inventing scalable algorithms that build on insights from most notably the area of subspace clustering to offer effective foundations for anomaly detection and correction that render subsequent analyses robust in the context of imperfect source data.
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LINK: http://itu.dk/en/Forskning/Forskningsprojekter/SmartOSN
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The aim of the project is to support and extend cooperation between the Laboratory of Parallel and Distributed Systems (ParaDiSe) at the Faculty of Informatics, Masaryk University, and the research team at Hybrid and Networked Systems Lab (HyNeSs Lab) at Boston University, in order to conduct research into the control and verification of hybrid systems. Both the control and verification of continuous and hybrid systems involves the application of advanced techniques for control strategy synthesis, analysis, verification and validation.
The research team at Boston University is specialised in control of hybrid and continuous systems, namely biological and robotic systems in particular. The lab has an extensive experimental environment for the implementation and testing of suggested concepts for robot motion planning. The team at Masaryk University aims to develop formal verification problematics.
The main target of the proposed project can be divided into two areas. The first one is the formulation of new approaches for the abstraction and modelling of complex systems in order to obtain approximately accurate model of the systems, which is to be automatically verified and controlled under complex requirements. The second research area concerns the design and development of methods for the synthesis of control strategies based on principles of formal verification. Part of the research is also aimed at the usage of the new technologies for improving the efficiency of synthesis and verification process.
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LINK: http://paradise.fi.muni.cz/grants.html
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The project aims at exploiting large collections of unlabeled multi-modal data, mainly video footage, to further the development of state-of-the-art technology in video, audio and natural language understanding, interpretation, annotation and retrieval by combining unsupervised and semi-supervised learning. It will address problems that are very difficult (some probably impossible) to solve in a single modality by adopting an interdisciplinary approach. Progress in individual research areas – vision, natural language processing and speech will be achieved by co-training and by exploiting the results of other modalities as cross-training data. For the efficient processing of large data collections appearing in all modalities, the project will also concern generic problems of organisation, indexing, and searching based on a similarity that is necessary for building real-life applications.
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LINK: http://www.dri.ie/projects
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This project focuses its research in the following three areas: 1. The analysis of temporary changes in privacy protection requirements for Wireless Sensor Networks (WSN) and proposal for scalable privacy protection protocols reflecting the changes. 2. A proposal for a framework that enables the (semi)automatic design of optimal intrusion detection systems for particular WSNs with a particular topology, sensor nodes capabilities and threats. 3. The analysis of the methods suitable for automatic search and optimization of security-related protocols personalized for a given network technology and layout.
In each area the proposed solutions will be tested and verified in small scale, experimental WSN deployment, avoiding some of the deficiencies and limitations of simulated verification.
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LINK: http://www.muni.cz/research/projects/14905
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The ceFIMS CONNECT project was initiated in March 2014 as a follow-on from the original ceFIMS project. ceFIMS CONNECT seeks to realise the recommendations made by the final ceFIMS roadmap report through the engagement of National and European Future Internet stakeholders, leading to more strategic and co-ordinated investment in the Future Interne.
This site contains a public database featuring representative ongoing Future Internet research projects, as well as information on national research structures. ceFIMS members can also access the members section which provides a repository of additional information. Functionalities are currently being added which will allow ceFIMS members to upload and update info on their own country’s FI research projects and structures to allow greater cooperation and alignment.
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WIT | Waterford Institute of Technology (Coordinator) |
IRELAND |
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FCT | Fundação para a Ciência e a Tecnologia | PORTUGAL |
AMETIC | Asociación de Empresas de Electrónica, Tecnologías de la Información, Telecomunicaciones y Contenidos Digitales | SPAIN |
PSNC | Poznan Supercomputing and Networking Center (Poland) | POLAND |
Click here to view the ceFIMS consortium members
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Irish Record Linkage is a project funded by the Irish Research Council, and developed in partnership with the Digital Repository of Ireland, University of Limerick and Insight at NUI Galway. The project aims to provide a comprehensive map of infant and maternal mortality for Dublin from 1864-1913. The project will reconstruct family units and create longitudinal histories by linking records of Birth, Marriage and Death (vital registration data), generously provided by the General Register Office.
In order to link individuals, the project will create a Knowledge Platform entitled Irish Record Linkage (IRL) to enhance the research potential of individual level metadata, using best practice in Digital Archiving to facilitate the application of Linked Data technologies, and ingesting content into the Digital Repository of Ireland for long term accessibility and preservation. The application of Linked Data technologies with state of the art digital archiving, preservation and discovery technologies will allow us to interrogate this historical Big Data.
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LINK: http://www.dri.ie/projects
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The Social Repository of Ireland project will determine the feasibility of developing a richly annotated archive of social media responses to major events / topics of interest in Ireland, and to preserve this archive in a trusted digital repository. In addition to archiving and preservation, the study will develop practices for semi-automating the processes of annotation and archiving, enriching the data with contextual curation from archives, and assessing legal and ethical issues that arise in the preservation of social media. This project was funded under SFI’s Technology Innovation Development Award scheme. The lead partner is the Digital Humanities and Journalism Group at INSIGHT @ NUIG.
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LINK: http://www.dri.ie/projects
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The MoTIF project aims to create thesaurus construction guidelines and a pilot thesaurus of Irish folklore. The guidelines provide information on the construction of thesauri for librarians, archivists, museum professionals and other information professionals. Thesauri are vital and valuable tools in content discovery, information organisation and retrieval, and activities common to all fields including cultural heritage and higher education as well as business and enterprise. These guidelines will act as a comprehensive introduction to thesauri and will give professionals the advice they need to improve their own data practices by adhering to international standards and best practice.
The pilot thesaurus, also known as MoTIF, is intended to accompany the thesaurus construction guidelines and acts as an illustrative guide, providing examples throughout the guidelines as well as a sample thesaurus and demonstration of the international principles and best practices outlined in that document.
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LINK: http://www.dri.ie/projects
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The continuing rapid growth in the volume of data generated by multiple, heterogeneous sources has created the need for increasingly efficient methods of processing and acquiring information. Data must be structured and stored in the right way; it must be possible to efficiently search through the data and analyse it to extract information which would not otherwise be obtained without sophisticated methods and algorithms.
This project uses methods drawn from biological processes to process large amounts of weakly structured data. Methods gleaned from the study of natural phenomena allow processes and theoretical models to be utilised in the develop computational systems and algorithms capable of solving complex problems that cannot be solved (without difficulties) by traditional techniques.
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LINK: http://www.it4i.cz/3885-2/research-teams/it-for-knowledge-management/?lang=en&lang=en&lang=en
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This project is working on applications which will predict flooding in an area several hours in advance and can rapidly identify traffic congestion in real time so tat traffic can be diverted away from the flooded area without causing traffic congestion in other areas.
Such a solution would rely on collating large amounts of data and evaluating it using efficient algorithms which can extract the relevant information necessary for effective decision-making.
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LINK: http://www.it4i.cz/earth-sciences/rodos-2/?lang=en&lang=en
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Over the recent years “big data” has became a near-ubiquitous buzzword. The term “big data” generally refers to a context where Gigabytes constitute the unit size for measuring data volumes, where Terabytes are commonly encountered, and many Web companies, scientific, and financial institutions must deal with Petabytes of information. In response to pressing practical needs a variety of systems have arisen, in an ad-hoc and improvisational manner for handling big data.
Some of these systems have led to a revival of parallel database management systems and an increased interest in so-called NoSQL data repositories. While progress in database research has lead to a deeper understanding of traditional non-distributed data models and sequential querying, progress in the area of big data computation has proved so far to be insufficient and initial models are only scarcely developed. Given the number of competing systems and their diversity, it remains unclear which system is best suited for which kind of queries. This project therefore aims to develop and study computational models for big data to provide insight into the use of existing systems and to formulate possible improvements and synergies.
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LINK: http://www.researchportal.be/en/project/a-formal-approach-to-querying-big-data-%28UH_R-4633%29/
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The rise of relatively cheap, internet-connected, programmable, sensor-laden smart-phones has vastly increased the potential for people-centric applications. The concept of participatory sensing, in end users can collect, collate, and share contextual and environmental knowledge from peer to peer, through future internet platforms and applications.
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A central theme in computer science is the design of efficient algorithms. However, recent experiments show that many standard algorithms become unreliable when applied in the context of big data. This is particularly true in the case of database queries. Unfortunately, existing theoretical tools for analysing and validating algorithms cannot tell whether an algorithm will perform reliably in a big data context.
Indeed, algorithms that are considered to be tractable in the classical sense are not tractable anymore when big data is concerned. This project calls for a revisit of classical theoretical assumptions regarding computational complexity. The main goal of this project is the development of a formal foundation, and an accompanying model for scaling up computational complexity, which can be used as a framework in the study of algorithm tractability in the context of big data.
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LINK: https://www.uantwerpen.be/en/rg/adrem/projects/
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The E-Mobility NSR (North Sea Region Electric Mobility Network) project aims to provide state-of-the-art information to support policy development in e-mobility in the North Sea Region. The research project also looks to provide insight into the insufficiencies, anachronisms, and gaps in the infrastructure, logistics and preliminary standards for multi-charging techniques. Ultimately, the project aims to develop an e-mobility ecosystem in the North Sea Region which will provide a long-term basis upon which regional and local governments, as well as other relevant stakeholders in the NSR, may engage with each other.
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LINK: http://www.iminds.be/en/projects/2014/02/28/emobility
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Systems software — such as operating system kernels, hypervisors, database engines, web servers, and language run-times — form the foundation of any modern computer system. It is extremely complex and hard to maintain stably and securely, with bugs making entire services unavailable or opening the doors of seemingly secure systems to viruses and criminals. Ensuring its reliability is, thus, imperative for building future trustworthy ICT infrastructures.
The ADVENT project will develop innovative methods and tools for the cost-effective verification of real-world systems software, making it possible to guarantee an unprecedented level of reliability.
Building on the emerging technology of separation logic, the project team will formalise such the ad hoc software engineering concepts used by systems programmers (such as informally described patterns, idioms, and abstractions) which constitute the software architecture. The project team will use the results to drive the design of verification techniques.
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LINK: http://www.iminds.be/en/projects/2014/04/07/advent
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Real-time travel information for rail travelers is still used inefficiently today and is rarely combined with other data sources. It is up to the rail travelers themselves to look actively for important information about their trip. The TraPIST project team believes that in a dynamic context such as that of public transport, it would be much simpler to be able to consult the right information at the right time.
The current generation of applications based on real-time train information (RTTI) is still not fully using (open) data to facilitate rail travel. They are often based on only one source, even though more relevant sources are available (e.g. vehicle sensor data, passenger data, weather forecast, etc.). Moreover, travelers today expect additional ‘layers’ of information, such as integration with social media or entertainment.
The TraPIST project seeks to offer train travelers relevant information at the right time and through the most appropriate channel.
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LINK: http://kom.aau.dk/project/edge/
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