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[text removed for publication], a leading international manufacturer of [text removed for publication], have produced a new software interface ([text removed for publication]) for programming their flagship [text removed for publication] platform ([text removed for publication]) based on research undertaken by Ulster on rapid prototype development of healthcare applications. This new product has led to an increase in turnover for [text removed for publication] in 2012 and is being used in [text removed for publication] countries. [text removed for publication] is also currently marketing (May 2013) a new training product in the form of a [text removed for publication] platform, including [text removed for publication], based on research at CSRI on processing of accelerometry signals.
Visual analytics is a powerful method for understanding large and complex datasets that makes information accessible to non-statistically trained users. The Non-linearity and Complexity Research Group (NCRG) developed several fundamental algorithms and brought them to users by developing interactive software tools (e.g. Netlab pattern analysis toolbox in 2002 (more than 40,000 downloads), Data Visualisation and Modelling System (DVMS) in 2012).
Industrial products. These software tools are used by industrial partners (Pfizer, Dstl) in their business activities. The algorithms have been integrated into a commercial tool (p:IGI) used in geochemical analysis for oil and gas exploration with a 60% share of the worldwide market.
Improving business performance. As an enabling technology, visual analytics has played an important role in the data analysis that has led to the development of new products, such as the Body Volume Index, and the enhancement of existing products (Wheelright: automated vehicle tyre pressure measurement).
Impact on practitioners. The software is used to educate and train skilled people internationally in more than 6 different institutions and is also used by finance professionals.
Targeted Projection Pursuit (TPP) — developed at Northumbria University — is a novel method for interactive exploration of high-dimension data sets without loss of information. The TPP method performs better than current dimension-reduction methods since it finds projections that best approximate a target view enhanced by certain prior knowledge about the data. "Valley Care" provides a Telecare service to over 5,000 customers as part of Northumbria Healthcare NHS Foundation Trust, and delivers a core service for vulnerable and elderly people (receiving an estimated 129,000 calls per annum) that allows them to live independently and remain in their homes longer. The service informs a wider UK ageing community as part of the NHS Foundation Trust.
Applying our research enabled the managers of Valley Care to establish the volume, type and frequency of calls, identify users at high risk, and to inform the manufacturers of the equipment how to update the database software. This enabled Valley Care managers and staff to analyse the information quickly in order to plan efficiently the work of call operators and social care workers. Our study also provided knowledge about usage patterns of the technology and valuably identified clients at high risk of falls. This is the first time that mathematical and statistical analysis of data sets of this type has been done in the UK and Europe.
As a result of applying the TPP method to its Call Centre multivariate data, Valley Care has been able to transform the quality and efficiency of its service, while operating within the same budget.
Two leading manufacturers of clothing for outdoor activities ([text removed for publication]) have produced a new range of functional clothing based on research at Ulster on wearable technologies for the active ageing. The new age-appropriate outdoor garments incorporate wearable technologies that enable self-monitoring of physiological parameters (heart rate, respiration rate) and activity levels (step-counts, distance walked) with optimal placement of sensors to improve signal-to-noise ratio. Additionally, [text removed for publication], a company producing [text removed for publication], have used feedback from Ulster's research evaluations to design a new range of [text removed for publication] that are incorporated into the garments, achieving increased levels of usability by elderly people.
The UoA research enabled a step increase in the technical and commercial capabilities of Atlantic Geomatics (UK) Ltd (AGUK, Cumbria) and the development of a postal addressing solution for the Government of Gibraltar (GoG). The beneficiaries and benefits included: AGUK who secured a contract safeguarding jobs and opening new international markets. Moreover, the GoG now have a definitive solution for legislation to replace their manual, multiple and inconsistent address lists by a spatially-based official address register (OAR) incorporating geographical information thereby enabling the people of Gibraltar to receive enhanced services (e.g. postal, emergency, utilities) from a centrally managed OAR.
Two Knowledge Transfer Partnership projects, carried out between 2006 and 2009, between an e-commerce marketplace provider (@UK plc) and the University of Reading, led to the development of two software tools that were launched in 2010. The tools, SpendInsight and GreenInsight, are the first of their kind to use artificial intelligence techniques to handle the extremely challenging data associated with purchasing in large organisations. Since their launch, these tools have been used by @UK plc to identify procurement savings and environmental costs of procurement activities for governments, multi-national corporations, academic institutions and healthcare providers. Over the last three years @UK plc has benefitted from the launch of these products as it has provided them with a competitive advantage over the market place, increased the quality and efficiency of their spend analyses and led to multi-million pound licensing agreements. An analysis of spending in some of the NHS Trust Foundations has led to changes in procurement behaviours that have resulted in hundreds of thousands of pounds saved to date — benefitting not only the NHS, but also taxpayers.
The advanced information management research of the Department of Digital Humanities (DDH) has led to a better understanding of pollution processes in inland waterways and lakes. It has also improved the standard of water quality information that is available to government and regulatory authorities. The information management framework which DDH has provided supports government-funded activities to improve environmental standards and has helped ensure that the UK Environment Agency is able to comply with the EU's Water Framework Directive, reducing the risk of financial penalties for non-compliance. Moreover, key and accurate evidence about water quality has been made freely available to beneficiaries, including governmental and non-governmental agencies, farmers and land managers, and the general public.
KCL research played an essential role in the development of data provenance standards published by the World Wide Web Consortium (W3C) standards body for web technologies, which is responsible for HTTP, HTML, etc. The provenance of data concerns records of the processes by which data was produced, by whom, from what other data, and similar metadata. The standards directly impact on practitioners and professional services through adoption by commercial, governmental and other bodies, such as Oracle, IBM, and Nasa, in handling computational records of the provenance of data.
Open Data has lowered barriers to data access, increased government transparency and delivered significant economic, social and environmental benefits. Southampton research and leadership has led to the UK Public Data Principles, which were enshrined in the UK Government Open Data White Paper, and has led to data.gov.uk, which provides access to 10,000 government datasets. The open datasets are proving means for strong citizen engagement and are delivering economic benefit through the £10 million Open Data Institute. These in turn have placed the UK at the forefront of the global data revolution: the UK experience has informed open data initiatives in the USA, EU and G8.
Research on data compression produced novel algorithms that optimise the use of bandwidth and processing power. This research has led to the establishment of a product line that applies these algorithms to video surveillance software, marketed by Digital Barriers plc. Since 2008 this compression technology has allowed the company to grow from 8 to 41 staff and increase revenue from £800K to £6M in 2013. The novelty and usefulness of the data compression research was also appreciated by ThinkAnalytics plc. This led the company to the optimal design for data compression in their recommender system, which is currently being supplied to 130M cable TV customers making the product the most deployed content recommendation system in the market.