Research Subject Area: Electrical and Electronic Engineering

REF impact found 86 Case Studies

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Applications of Novel Speech and Audio-Visual Processing Research

Summary of the impact

Research in robust speech enhancement and audio-visual processing has led to impact on a range of different fronts:

(i) Collaboration with CSR, a leading $1 billion consumer electronics company, has shaped its R&D research agenda in speech enhancement, has inspired ideas for new product improvements, and has helped establish Belfast as an audio research centre of excellence within the company.

(ii) Our technology has changed the strategic R&D direction of a company delivering healthcare monitoring systems, with potential for multi-million pound savings in NHS budgets.

(iii) Audio-visual speech processing research has led to a proof-of-concept biometric system, Liopa: a novel, robust and convenient person authentication and verification technology exploiting lip and facial movements (www.liopa.co.uk). A start-up company is in an advanced stage of being established to commercialise this product. The product and commercialisation strategy was awarded First Prize in the 2013 NISP Connect £25K entrepreneurship competition in the Digital Media and Software category. The first commercial partner for Liopa has been engaged.

(iv) A system-on-chip implementation of a version of our speech recognition engine, which was developed through an EPSRC project, was awarded first prize in the High Technology Award in the 2010 NISP £25K Awards competition, and contributed to the founding of a spin-out company, Analytics Engines (www.analyticsengines.com).

Submitting Institution

Queen's University Belfast

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Engineering: Electrical and Electronic Engineering

Arrays - ultrasonic measurements enable reduced inspection costs in the naval, aerospace and nuclear sectors (for redaction)

Summary of the impact

Non-Destructive Testing (NDT) is essential for the safe and efficient operation of high-value engineering plant in many engineering sectors. Research into ultrasonic arrays at the University of Bristol has had a major impact on NDT. Exploitation of the techniques developed has directly led to combined sales of around [text removed for publication]. For major end-users of NDT such as Ontario Power Generation, BAE Systems and Rolls-Royce, the research is leading to reductions in inspection costs, [text removed for publication]. In addition, highly-skilled engineers have been trained through an Engineering Doctorate programme and are now leading the industrial development of new array inspections based on underlying research performed at Bristol.

Submitting Institution

University of Bristol

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Electrical and Electronic Engineering

ASR: Commercial, societal and cultural benefits of new advanced Speech Recognition Technology

Summary of the impact

One of the world-leading systems for large-vocabulary Automatic Speech Recognition (ASR) has been developed by a team led from the University of Sheffield. This system, which won the international evaluation campaigns for rich speech transcription organised by the US National Institute for Standards and Technology (NIST) in 2007 and 2009, has led directly to the creation of one spin-out, been largely instrumental in the launch of a second, has had significant impact on the development and growth of three existing companies, and has made highly advanced technology available free for the first time to a broad range of individual and organisational users, with applications including language learning, speech-to-speech translation and access to education for those with reading and writing difficulties.

Submitting Institution

University of Sheffield

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Engineering: Electrical and Electronic Engineering

ELEC01 - Automatic Diagnosis and Monitoring of Neurodegenerative Diseases

Summary of the impact

Bio-inspired computer algorithms, developed by Dr Stephen Smith at the University of York, have been integrated with commercially available hardware that analyse patients' movements to diagnose and monitor a range of neurodegenerative conditions including Parkinson's disease and Alzheimer's disease. Clinical studies undertaken in the UK and USA report a diagnostic accuracy exceeding 90% - a 15% improvement on current clinical practice. A new spinout company, ClearSky Medical Diagnostics Ltd, has licenced four products exploiting this technology to nine health centres in the UK, USA, Singapore, Australia and UAE, transforming clinical testing with improved diagnosis and monitoring of patients in hospitals and their own homes.

Submitting Institution

University of York

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Engineering: Electrical and Electronic Engineering
Medical and Health Sciences: Neurosciences

Bristol’s research in dynamical systems methods are adopted and made operational within Airbus UK to develop cost-saving, high-precision modelling platforms

Summary of the impact

Evaluating the ground-based manoeuvrability of large aircraft is time consuming and costly if explored though industry-developed complete models of ground dynamics. Research by Krauskopf and colleagues from the University of Bristol has shown that applying methods from dynamical systems allow these dynamics to be investigated efficiently and with considerable precision. This approach, and the related purpose-developed software, Dynamical Systems Toolbox, have been adopted by Airbus. It is now fully incorporated in the Airbus Methods and Tools portfolio as a supported tool for the evaluation of proposed works and new designs. The research delivers considerable savings in time and costs for the company. Additionally, this programme of research has delivered research training for Airbus employees and one, who studied for PhD with Krauskopf, now leads the Airbus development and implementation of these mathematical techniques which are being disseminated more widely within the company. There continue to be Bristol EPSRC CASE PhD studentships in collaboration with Airbus co-supervised by Krauskopf (7 in the assessment period).

Submitting Institution

University of Bristol

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Engineering: Electrical and Electronic Engineering

Building industrial capacity through exploitation of Earth Observation data and (physical) methods

Summary of the impact

Data generated by sensors on-board satellites orbiting the Earth have become extremely important to businesses and public sector organisations. They are the essential ingredient in satellite-enabled consumer services, from GoogleEarth to disaster management, insurance and agriculture. The Earth Observation Science group at Leicester has played a leading role in the transfer of cutting-edge Earth Observation techniques and know-how to the private and public sectors, enabling more businesses to use the technology for commercial gain. Leicester experience in technology translation led to its invited contribution to the UK space industry-led report to government, an Innovation and Growth Strategy for Space.

Submitting Institution

University of Leicester

Unit of Assessment

Physics

Summary Impact Type

Economic

Research Subject Area(s)

Earth Sciences: Atmospheric Sciences
Engineering: Electrical and Electronic Engineering, Geomatic Engineering

Distributed Optical Fibre Sensors within the Oil and Gas Industry

Summary of the impact

Research into distributed optical fibre sensing undertaken at the Optoelectronics Research Centre (ORC) at the University of Southampton has had profound economic and environmental impact within the oil and gas industries in both extraction efficiency from existing reservoirs and improved safety performance and operation of three companies: Optasense, Stingray Geophysical and Schlumberger. Each of these companies have established highly competitive positions in the worldwide optical sensor market and collectively employ more than 160 people in the south of England, in their distributed sensing programmes having benefitted from the adoption of this new technology that contributes to the management of environmental risks and hazards.

Submitting Institution

University of Southampton

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Physical Sciences: Other Physical Sciences
Engineering: Electrical and Electronic Engineering
Technology: Communications Technologies

Dye-Sensitised Solar Cells

Summary of the impact

In 2012, it is estimated the $145bn was invested in solar photovoltaic technology. Dye-Sensitized Solar Cells (DSC) are expected to play an increasing role in renewable energy generation over the next decade and beyond, but several practical issues need to be overcome to facilitate large-scale economic production. Fundamental research at Bangor has laid the ground for collaborative work with industry which has overcome several of the key production constraints in their manufacture, increasing production speed and efficiency and substantially reducing costs. As a result, we have developed a Technology Roadmap with a major multinational partner (TATA) which has led to significant investment in plant and to the production of pilot products in the form of photovoltaic roofs, currently undergoing outdoor testing.

Submitting Institution

Bangor University

Unit of Assessment

Chemistry

Summary Impact Type

Technological

Research Subject Area(s)

Chemical Sciences: Physical Chemistry (incl. Structural)
Engineering: Electrical and Electronic Engineering, Materials Engineering

Newbery

Summary of the impact

The Electricity Policy Research Group (EPRG), led by Professor David Newbery, has undertaken research into electricity market restructuring, privatisation and regulation that has achieved internationally leading status among public policy makers. Government users, both national and international (in the UK, Ireland and the European Commission) request EPRG policy advice on electricity market design, monitoring for market abuse, regulation of transmission and distribution, and design of access pricing. Industrial users demand analytical briefings and credit EPRG for moving the debate from rhetoric to more quantitative approaches.

Submitting Institution

University of Cambridge

Unit of Assessment

Economics and Econometrics

Summary Impact Type

Political

Research Subject Area(s)

Engineering: Electrical and Electronic Engineering
Economics: Applied Economics, Econometrics

Electric Potential Sensor Technology – From Fundamental Physics to Product

Summary of the impact

A ground-breaking range of innovative sensor products — the EPIC Sensors — has been developed and marketed world-wide by Plessey Semiconductors Ltd. The EPIC Sensors allow contact-free measurements of electric phenomena, initially aimed at the health, sports and automotive markets. They operate on the non-invasive, low-cost, generic, award-winning Electric Potential Sensor (EPS) technology invented and developed at Sussex as a spin-off from fundamental low-temperature physics research. Income to the University from licence fees, costs and royalties started during 2012. Sustained industry engagement with key strategic partners in the medical, forensic, security, materials testing and geophysics sectors, including government organisations, industry and academia, is leading to a wider awareness and adoption of this novel technology.

Submitting Institution

University of Sussex

Unit of Assessment

Physics

Summary Impact Type

Technological

Research Subject Area(s)

Engineering: Electrical and Electronic Engineering
Medical and Health Sciences: Neurosciences

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