Waterford Institute of Technology is a state funded third-level educational freely available large scale institution situated in the city of Waterford, Ireland. The Institute has six Schools and offers programmes in Business, Engineering, Science, Health science, Education & Humanities.The institute opened in 1970 as a Regional Technical College and adopted its present name on May 7, 1997. The institute is currently headed by President Dr. Ruaidhri Neavyn. Wikipedia.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-15-2014 | Award Amount: 3.11M | Year: 2015
AQUASMARTs objective is to enhance innovation capacity to the aquaculture sector, by addressing the problem of global knowledge access and data exchanges between aquaculture companies and its related stakeholders. Offering aquaculture production companies the tools to access and share global open data and strong data analytics in a multi-lingual, multi-sector and cross-border setting strengthens their competitiveness and growth potential. Experienced research institutes that participate in the consortium as technology suppliers and will transfer their solutions to the aquaculture stakeholders in the consortium. The data collected in the AQUASMART open data cloud is suitable to be reused in other industrial domain if needed, (e.g., environmental or transportation data), providing a cross-sectorial setting to the provided solution. The AQUASMART multi-lingual adaptive eTraining program, assures that staff receive the proper training and assures the transfer of the AQUASMART innovations are sustainable. AQUASMART will have a very positive impact on the environment by helping companies to better estimate daily biomass, optimize feeding rates and management practices. This will improve the FCR (Feed Conversion Rate), which means less feed will be provided to the fish and therefore, less organic material and energy are consumed for the production of the feed. AQUASMART also helps the companies to reduce mortalities, which will have a further positive impact on environment. On the social level, AQUASMART contributes to the development of highly skilled workforce through online training programs. The improvement of the efficiency and profitability of the businesses, together with the reduction of the environmental impact will contribute to the increase of the production and the generation of new jobs in the sector.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-14-2014 | Award Amount: 5.97M | Year: 2015
5G will realise a true Internet of Things, a network capable of supporting potentially trillions of wireless connected devices and with overall bandwidth one thousand times higher that todays wireless networks. Current 4G technology is approaching the limits of what is possible with this generation of radio technology and to address this, one of the key requirements of 5G will be to create a network that is highly optimised to make maximum use of available radio spectrum and bandwidth for QoS, and because of the network size and number of devices connected, it will be necessary for it to largely manage itself and deal with organisation, configuration, security, and optimisation issues. Virtualisation will also play an important role as the network will need to provision itself dynamically to meet changing demands for resources and Network Function Virtualisation (NFV), the virtualising of network nodes functions and links, will be the key technology for this. We believe that Autonomic Network Management based on Machine Learning will be a key technology enabling an (almost) self administering and self managing network. Network software will be capable of forecasting resource demand requirements through usage prediction, recognising error conditions, security conditions, outlier events such as fraud, and responding and taking corrective actions. Energy efficiency will also be a key requirement with the possibility to reconfigure the NFV to for example avail of cheaper or greener energy when it is available and suitable. Again this is directly related to usage prediction both at a macro level, across an entire network, and at a micro level within specific cells. The Cognet proposal will focus on applying Machine Learning research to these domains to enable the level of Network Management technology required to fulfil the 5G vision.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.1.1 | Award Amount: 5.03M | Year: 2014
The Internet as the global communications infrastructure has been successful in shaping the modern world by the way we access and exchange information. The Internet architecture designed in the 1960s has been supporting a variety of applications and offering a number of services till now but emerging applications demand better quality, programmability, resilience and protection. Any alterations to the Internet architecture have become restricted to simple incremental updates and plug-ins instead of radical changes by introducing new solutions. RINA is an emerging clean-slate programmable networking approach, centring on Inter-Process Communication (IPC) paradigm, which will support high scalability, multi-homing, built-in security, seamless access to real-time information and operation in dynamic environments. The heart of this networking structure is naturally formed and organised by blocks of containers called Distributed Information Facilities - DIFs where each block has programmable functions to be attributed to as they required. A DIF is seen as an organizing structure, grouping together application processes that provide IPC services and are configured under the same policies. Virtualization is a fundamental attribute of the architecture itself. Based on the above fundamental aspect, PRISTINE intends to: Design and implement the innovative internals of this clean-slate architecture that include the programmable functions for: security of content and application processes, supporting QoS and congestion control in aggregated levels, providing protection and resilience, facilitating more efficient topological routing, and multi-layer management for handling configuration, performance and security. Demonstrate the applicability and benefits of this approach and its built-in functions in three use-cases driven by the service providers and vendors in the consortium. This will ensure that the applications and tools we develop will be deployable by providers.
Agency: European Commission | Branch: FP7 | Program: CPCSA | Phase: INFRA-2013-1.2.1 | Award Amount: 85.21M | Year: 2013
This proposal details activities that will ensure the continued enhancement and ongoing operation of the leading-edge GANT network, supporting a range of network and added-value services, targeted at users across the GANT service area.\nIn the area of multi-domain network service operation, GN3plus plans to deliver fast, efficient provisioning of advanced services, develop operational support across management domains, and improve security to ensure service integrity and protect network resources. These initiatives will be complemented by the development of application services in a federated environment such as mobile and wireless roaming supported by safe and secure Authentication and Authorisation Infrastructure.\nNetworking Activities will provide management and support for all GN3plus activities through communication, promotion, international liaison and business development. Emphasis will be placed on supporting and encouraging service take-up among users by working closely with NRENs. GANT will increase digital inclusion through closer collaboration between NRENs, exchange of staff and specialist expertise, as well as by seeking synergies between public administrations and the GN3plus partners using their vast, shared knowledge base.\nJoint Research Activities will be targeted at providing critical analyses of future network and application technologies, with a view to future deployment of emerging technologies within and outside the GANT community.\nThe governance model aims to increase effectiveness and user influence. The GN3plus Partners Assembly will deal with overall policy and an Executive Board will oversee its implementation. An International User Advisory Committee and External Advisory Committee will ensure users views and senior industry and service provider expertise are channelled directly to the Assembly. Specialised Advisory Boards will ensure highly efficient decision making, and that the voice of the stakeholder community is heard.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: LCE-07-2016-2017 | Award Amount: 5.00M | Year: 2016
Future energy systems will use renewable energy sources to minimise CO2 emissions. Currently large generators powered by fossil fuel turbines maintain the stability and quality of energy supplies through their inertia. The inertia of these generator-turbine groups gives providers a significant time window in which to react to network events. We urgently need to find ways to stabilise energy systems with up to 100% RES (where inertia is often lost due to power converter mediated energy transfer) to generate RE-SERVEs so that society can relax in the knowledge that it has a stable and sustainable energy supply. RE-SERVE will address this challenge by researching new energy system concepts, implemented as new system support services enabling distributed, multi-level control of the energy system using pan-European unified network connection codes. Near real-time control of the distributed energy network will be enabled by innovative 5G based ICT. Energy system use case scenarios supplied by energy providers will form the basis of energy system models. Performance characteristics of the new control mechanisms will be investigated through integration of energy simulations and live 5G communications. We will create a pan-European multi-site simulation test-bed, bringing together the best facilities in Europe. RE-SERVE results include published models of system support services, innovative architectures for the implementation of the services, performance tests on our pan-European real-time simulation, and live, test-beds, a model for pan-European unified network connection codes and actions to promote results to standardisation organisations, all of which maintain the RE-SERVE in energy systems. Commercialisation of results will result in breakthroughs in the efficient utilisation of use of RES, a spin-off and a wide range of enhanced professional solutions and services.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: EUB-1-2015 | Award Amount: 500.00K | Year: 2016
The EUBrasilCloudFORUM Coordination and Support Action aims at establishing an organisational cooperation model that enables the EU and Brazil to formulate and develop a common strategy and approach for Research & Innovation in Cloud Computing in line with the priorities of each region. Shaping the Digital Single Market (DSM) requires revitalising industry with a strong focus on cloud computing and the data economy. Europe & Brazil understand the potential global importance of the DSM, where both parties within EUBrasilCloudFORUM, agree that an open exchange with stakeholders is critical for building consensus amongst the regions and for delivering practical guides on how Cloud Services can help business and research activity. The on-going evolution of cloud computing will radically transform business processes and bring about the most sweeping changes to the structure of the global economy since the Industrial Revolution. A structured channel as the EUBrasilCloudFORUM is needed to exchange views on the digital economy can support better access for consumers and businesses around innovative cloud services and solutions and maximise the growth potential of the digital economy. Four main objectives have been set by the EU & BR consortium: 1) structure a community driven engagement forum for EU-Brazil policy and research and innovation dialogues; 2) deliver an EU-Brazil Research and Innovation Roadmap and Action Plan related to cloud computing; 3) build a web based EUBR Service platform to promote and market the results from the EU-Brazil community as well as showcasing the success stories; and 4) organize and deliver focused EU-BR Cloud Computing Events.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.6.1 | Award Amount: 4.53M | Year: 2014
The success of the European vision of a low carbon electricity grid that minimises greenhouse gas emissions; and enhances security, quality and reliability of supply depends on how smart infrastructures, combining energy and telecom, are developed and implemented for the wider integration of security-aware distributed energy resources into the increasingly decentralised grid. MAS2TERING, a 3-year technology-driven and business-focussed project, is aimed at developing innovative information and communication technology (ICT) platform for the monitoring and optimal management of low-voltage distribution grids by integrating last mile connectivity solutions with distributed optimisation technologies, while enhancing the security of increased bi-directional communications. The project also aims at enabling new collaboration opportunities between grid operators and telecom and energy companies, both from technology and business perspectives. The project consortium includes prominent industrial organisations and research institutes from the European energy, telecom and security fields, to leverage the critical dimensions of energy, ICT, security and business. Nine project partners are CEA, Utility Partnership Limited, R2M Solutions , GDF Suez, Cassidian CyberSecurity, Telecom Italia, Cardiff University, Waterford Institute of Technology and Laborelec, from five European countries: France, United Kingdom, Italy, Ireland, Belgium.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: ICT-38-2015 | Award Amount: 2.22M | Year: 2016
DISCOVERY aims at supporting dialogues between Europe and North America (US and Canada); and fostering cooperation in collaborative ICT R&I, both under Horizon 2020 and under US and Canada funding programmes. With this purpose, DISCOVERY proposes a radically new approach to engage more actively and strategically in supporting dialogues and partnership building for ICT R&I cooperation. At the core of the DISCOVERY action is the Transatlantic ICT Forum that will be established as a sustainable mechanism to support policy debate and to provide opinions and recommendations furthering meaningful dialogues for purpose-driven and mutually beneficial cooperation between Europe and North America in the field of ICT. DISCOVERY will specifically focus on key aspects that until now have not been properly addressed in the political dialogue, such as funding mechanisms, ICT policy and regulations, and cybersecurity, as well as ICT priority areas of strategic interest for future partnerships in R&I. DISCOVERY will also stimulate industry engagement and innovation partnerships between the industry, research and academia, by reinforcing networking between ICT ETPs and US/Canada innovation partnerships; providing a new partner search tool; implementing Doorknock outreach to relevant US and Canada funding programmes; and using a unique set of participatory and co-creative methods and people-centric facilitation techniques to stimulate interaction among the groups of participants in project events, such as the ICT Discovery Lab and well-targeted capacity-building workshops. The DISCOVERY consortium is in the best position to leverage the required expertise, engagement with ICT dialogues, shared vision, networking capacity, access to a wide range of political, industry and economic thought-leaders throughout EU, US and Canada, and resources towards action and result-oriented dialogues, and significantly contributing to reinforce ICT R&I cooperation between Europe and North America.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: FETOPEN-2-2014 | Award Amount: 532.34K | Year: 2015
In recent years, several research groups have been created in the emerging research area of molecular communications. This is seen as a fundamental enabler for nano-scale networked devices. The heterogeneity of the biological environments that can host nano-scale communications has produced different proposals (e.g. neuronal networks, molecular diffusion, flow-based carrier mobility) analyzed by means of different research approaches and tools (different analytical models, simulators, lab experiments). For this reason, the need of integrating research activities at an EU level has emerged. The main objective of the CIRCLE is to integrate islands of heterogeneous research activities in a common research framework. The nature of the proposal is therefore strategic for the EU research objectives, highly interdisciplinary, inclusive of any input coming from any research activities that can contribute to identifying a research roadmap for the future years and feasible future exploitation plans. In the short term, CIRCLE will facilitate the creation of an EU wide Molecular Communications (CIRCLE) forum and provide a support infrastructure for coordination of research across Europe. In the medium term, it will foster knowledge sharing via the CIRCLE forum and a dedicated web portal. This will focus on the sharing of both research methodologies and simulation code repositories. It will establish expert working groups in different research topics within the Molecular Communications domain and develop strategic Roadmaps for both academic research and industry involvement. In the long term, CIRCLE will push the Roadmaps at a Member State and EU level to ensure Molecular Communications research converges rapidly towards feasible products of interest in the marketplace.
Waterford Institute of Technology | Date: 2016-07-06
A method for modelling a relationship between effective bandwidth coefficient (EBC) and mean throughput in a network includes: calculating an EBC for each sample packet trace of a specified traffic type, where the EBC is the ratio of the estimated effective bandwidth EB to mean traffic flow rate M of the sample packet trace; storing the EBC for each sample packet trace with the associated value of M; and modelling EBC versus M for a plurality of values of M for the specified traffic type. Calculating the EBC includes: setting a maximum packet delay target parameter and a violation target parameter for a specified traffic type; collecting a sample packet trace of the specified traffic type from a selected measurement point on the network; estimating the EB of the sample packet trace using the maximum packet delay target parameter and a violation target parameter; and calculating the EBC for the sample packet trace as EBC=EB/M.