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Robust Repeatable Respiratory Monitoring in EIT |
Professor Hugh McCann
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Digital Communications |
The project aims at developing a new electrical impedance tomography (EIT) device for medical use. This device, called ReMEIT, should enable 3D absolute conductivity image reconstruction. To achieve this goal the project intends to capture the exact positions of the measuring electrodes and the exact thoracic shape using an optical shape capture device. These are absolutely novel approaches in EIT imaging that, if successful, could represent an immense progress in EIT research and a big step towards reliable clinical use of this technology. The project partners not only plan to develop the device but they also propose a strategy for its validation under invivo conditions. At first, healthy volunteers with no history of lung disease will be examined by ReMEIT and, later, the EIT device will be applied in critically ill patients suffering from various pulmonary diseases. In the former case, reference data will be obtained by magnetic resonance imaging (MRI), in the latter one, routine chest X-ray, computed tomography (CT)and MRI data will be utilised.
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Rural and Remote Ubiquitous Broadband Wireless Access |
Dr Tharmalingam Ratnarajah
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Digital Communications |
This research network would bring together key research groups that are in the vanguard of developing novel technologies and algorithms for spectrally efficient generation wireless networks in the UK and India.
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SACSESS: Safety of Actinide Separation Processes |
Prof Anthony Walton
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Integrated Micro and Nano Systems |
SACSESS kicked off on 1 March 2013. This European collaborative project involves 26 partners from European universities, nuclear research bodies, TSOs and industrial stakeholders and aims to generate fundamental safety improvements on the future design of an Advanced Processing Unit.
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SPADnet: Fully Networked, Digital Components for Photon-starved Biomedical Imaging Systems |
Dr Robert Henderson
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Integrated Micro and Nano Systems |
Single photon sensitive detectors for Positron Emission Tomography (PET).
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Sensor Signal Processing |
Professor Bernie Mulgrew
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Digital Communications |
The fundamental challenges for signal processing are: how best to sense; how to distribute the processing and communication of the data within the network to maximize performance and minimize cost; how to analyze it to extract the salient information.
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Signal Processing for a Networked Battlespace |
Professor Mike Davies
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Digital Communications |
This research is carried out under the Unversity Defence Research Collaboration (UDRC) funded by the MOD and EPSRC.
The UDRC is a collaborative research project with the work being carried out by two Consortia. Edinburgh Consortium is made of the University of Edinburgh, Heriot-Watt University and The Queen's University of Belfast. LSSCN Consortium is made up of Loughborough University, University of Surrey, University of Strathclyde, Cardiff University and Newcastle University.
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Signal Processing in the Information Age |
Prof Michael E Davies
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Digital Communications |
The aim of the UDRC is to develop unprecedented research in signal processing with application to the defence industry and share knowledge, promote communications, guidance and training. The formation of consortia will bring together researchers from across the different aspects of signal processing to address the research challenges of operating in a networked battlespace. This will form part of a wider collaborative centre of excellence for signal processing that embraces academia, Research and Technology Organisations, defence manufacturing industries and the Defence Technology Centres. This collaboration will support a cutting edge signal and data processing capability in the UK, and lead to potentially greater research impact.
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Simulation of Irregular, Abradable Particles in DEM |
Dr Kevin Hanley
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Infrastructure and Environment |
Particle shape has important effects on bulk materials as sandpiles and mixtures; temporal changes of the shape (e.g. due to surface abrasion) also have severe consequences in many industrial sectors. To represent irregular particles, a compact “irregularity function” can be stored for each particle which describes how the shape deviates from a bounding sphere. Abrasion can be studied by adopting irregularity functions which can change with time depending on contact force.
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Simulation of dense suspensions with discrete element method and a coupled lattice Boltzmann method |
Dr. Jin Sun
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Infrastructure and Environment |
Suspensions, mixtures of a fluid and particles, are widespread in nature and industry. However, many open questions, such as the particle interactions in dense suspensions, have not been answered [1].
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Small Scale Hydrogen Storage for Integrated Energy Systems |
Dr Dimtri Mignard
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Energy Systems |
The integration of a greater proportion of renewable energy, compounded by the rise in small scale distributed generation, is making it increasingly difficult to balance demand and supply of electricity without adequate energy storage facilities. However, the effective deployment of these solutions at any particular location will require an understanding of the local energy system at the time. Conversion between energy vectors will also be required not just to meet storage needs, but also to allow major shifts from fossil fuels to low carbon energy in applications like heat and transport. Hydrogen is an energy vector that is particularly versatile from this viewpoint.
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