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The Advanced Signal Processing Group at Loughborough University has, since 2007, changed significantly the awareness and understanding of technical staff at QinetiQ, Malvern, a world leading defence and security company, in relation to signal processing for Polynomial Matrix Decompositions, Game Theoretic Methods and Cooperative Communications and Beamforming. This has helped QinetiQ, Malvern, to develop state-of-the-art products and solutions for the networked battlespace with unique performance advantages. This impact is being extended through a five-year £4.5M project awarded, in 2013, by the EPSRC and Dstl to Loughborough University, to aid in implementing the UK's Defence Technology Strategy for the 21st Century.
The commercialisation of Newcastle University's pioneering research in underwater acoustic communication has created market leading products, achieving economic impact, enhanced subsea operations, an award for improved diver safety and reduced impact of subsea acoustic emissions on marine mammals. Our research outputs have been incorporated in a range of products manufactured under licence by Tritech International Ltd. Since 2008 the MicronNav product has become the preferred solution for tracking underwater remotely operated vehicles from manufacturers including Seabotix Inc and Videoray Inc, with over £2M of licensed products sold to date. Bespoke high performance data telemetry systems have also enabled previously impossible subsea operations to be completed.
Led by Professor Andrews, a computational method for real time mission planning, based on Binary Decision Diagrams (BDD), was developed in the Mathematical Sciences Department at Loughborough University (LU) from 1993-2003. This is fast and accurate and can be used to support decision-making on system utilisation in real-time operation, which has led to the ability to diagnose in flight faults for unmanned aerial vehicle (UAV) applications.
The research has changed the understanding and awareness of the advantages of BDD, resulting in integration into major industrial trials and proprietary software products, including at BAE Systems, one of the world's largest companies in an area of vital importance to UK security and economic development. The methodology has attracted significant research funding in collaborative programmes with industry.
Two decades of radar research at The University of Birmingham have had profound impacts on automotive radar systems. This is demonstrated by specific Jaguar LandRover products: adaptive cruise control (ACC); blind spot monitoring; and lane change merge aid. The first two of these are now available across the Jaguar and Land Rover ranges while the third is ready for launch in 2014. Wider economic and road safety impacts are occurring as the technology cascades down from the luxury vehicle market and achieves wider adoption. Automotive radar makes a significant financial contribution to Jaguar LandRover (JLR). Birmingham research has been vital to the development of this industry, in establishing fundamental scientific feasibility and technological viability and in solving deep technical challenges.
Cloud computing is now used ubiquitously in consumer and commerce domains yielding unprecedented access to computing and data handling at affordable prices.
Work in this field was pioneered at the University of Southampton (UoS) from 1998 onwards and commercialised from 2008 through Dezineforce to enable companies to exploit cloud computing in engineering:
Throughout this period the team has also engaged in outreach to inspire and educate the next generation of scientists and engineers about High Performance and Cloud computing including a YouTube video with 485,000 hits and over 300 articles in media.
HDM-4 is the most widely used system for road investment appraisal and decision making, generating improvements in public policies and services. Economic development and road agencies in developing countries are major users of the tool. HDM-4 has become the de facto standard used by the World Bank for its road investment appraisals and has been used to assess more than 200 projects since 2008, with some $29.5bn of World Bank loans, credits or grants drawn-down to fund these. Uptake of the tool has led to the commercial success of HDMGlobal, a consortium which manages the distribution and development of the software under exclusive licence from the World Road Association-PIARC, with revenues of £1.6m generated since 2008. HDM-4 has also been utilised for economic assessment and road systems investment management in the UK.
This case study describes the impact of the EnCore microprocessor, and the associated ArcSim simulation software, created in 2009 by the Processor Automated Synthesis by iTerative Analysis (PASTA) research group under Professor Nigel Topham at the University of Edinburgh. Licensing to Synopsys Inc. in 2012 brought the EnCore and ArcSim technologies to the market. Synopsys Inc. is a world-leading Silicon Valley company. It is the largest Electronic Design Automation (EDA) company in the world, and the second largest supplier of semiconductor IP. EnCore is achieving a global impact through this worldwide channel. The commercial derivatives of the EnCore technology provide manufacturers of consumer electronics devices with an innovative low-power, high-performance microprocessor that they can customize to their specific application requirements, enabling the next generation of electronic devices.
This Keele University research into advanced signal processing and classification methods has led to novel algorithms capable of isolating subtle patterns in complex data. This has been applied in two highly significant application areas: first to the problem of image source identification and second to the problem of unobtrusive but highly secure authentication methods. In the first case this has enabled images captured by mobile phone cameras to be reliably and evidentially linked to source devices. This has huge applicability to those fighting terrorism, paedophile rings and civil unrest by extending detection capabilities to mobile phones in an era in which they are rapidly replacing dedicated cameras. It helps to prove, for example, that a photograph entered as evidence was captured by a specific mobile phone. As most phones can be tied to their user or owner this is extremely important to the successful detection and prosecution of offenders.
In the second case it has enabled criminal record checks to be carried out securely online where previous paper-based systems were both too slow for purpose (taking weeks or months) and inherently insecure, leaving key posts unfilled in the health care industries and education sector; so benefitting the public by solving a problem that was having a negative impact on the running of these public services.
A new multi-purpose computer vision system to identify sub-standard food products has been created. The research developed a user-trainable software technology with a range of possible applications, thus overcoming the specificity and other limitations such as the high set-up cost of existing visual inspection systems. This research is achieving impact in several areas within the food industry, including quality analysis of fresh produce, food processing and food packaging. The technology is currently being trialled at the leading post-harvest applied research facility for agricultural storage in the UK, and is also being licensed to a world-leading supplier of food packaging machines and equipment for inclusion in a new product range under development. The longer-term impacts include safer food, reduced food waste, more efficient food production, and better use of natural resources (e.g. reduced use of water, pesticides and other inputs), through early detection of potentially harmful flaws in production and packaging.
In 1997 ERPE invented a novel automatic machining feature recognition technology which has been incorporated into the Pathtrace EdgeCAM Solid Machinist Computer Aided Manufacture (CAM) package, now owned by Planit plc. EdgeCAM is considered as one of the leading independent solid machinist CAM package, with 10 - 15% of the world market. Related ERPE feature recognition in shape representation and characterisation has enabled the design of a 3D shape browser for product data management systems. Commercialised in 2005 as ShapeSpace with £0.7M current market value, for application to the parts industry in automotive markets, it has attracted the US Actify Inc., as an equity sharing partner to aid ShapeSpace to access worldwide markets.