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State-of-the-art reasoning systems developed in the UoA have underpinned the standardisation of ontology languages, and play a critical role in numerous applications. For example, HermiT, software developed in the UoA, is being used by Électricité de France (EDF) to provide bespoke energy saving advice to 265,000 customers in France, and a roll out of the use of the system to all of their 17 million customers is planned.
Work undertaken at the Applied DSP and VLSI Research Group since the early/mid nineties, has led to a number of significant contributions underpinning the development and commercial exploitation by industry of power efficient and complexity reduced integrated Digital Signal Processing (DSP) systems and products. These developments have paved the way for a new paradigm in the design of complexity reduced electronic systems aiding the emergence of numerous new commercial application areas and products in a diversity of fields. Indeed, these developments continue their currency and applicability in today's electronic products sector and thus shall be at the core of this case study.
Within this case study we present the TrOWL technology developed at the University of Aberdeen that enables more efficient and scalable exploitation of semantic data. TrOWL and its component algorithms — REL, Quill and the Aberdeen Profile Checker — have had non-academic impact in two key areas. With respect to practitioners and professional services, the technology has enabled the introduction of two important World Wide Web Consortium (W3C) standards: OWL2 and SPARQL 1.1. This has led to impact in the way that many companies work, across a range of sectors. Further, through partnership with specific companies, the use of TrOWL has changed the way they operate and the technical solutions they provide to clients. These collaborations have led to economic impacts in companies such as Oracle in "mitigat[ing] the losses of potential customers", and IBM in "using the TrOWL reasoning infrastructure in [their] Smarter Cities solutions".
The application of advanced control algorithms has generated an impact on the economy and the environment through increased precision and reduced cost of operation of fast mechanical systems. A reduction in fuel consumption and CO2 emissions has been achieved in the transportation industry by the implementation of novel advanced control algorithms for advanced cruise control systems.
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.
The volume and diversity of data that companies need to handle are increasing exponentially. In order to compete effectively and ensure companies' commercial sustainability, it is becoming crucial to achieve robust traceability in both their data and the evolving designs of their systems. The CRISTAL software addresses this. It was originally developed at CERN, with substantial contributions from UWE Bristol, for one of the Large Hadron Collider (LHC) experiments, and has been transferred into the commercial world. Companies have been able to demonstrate increased agility, generate additional revenue, and improve the efficiency and cost-effectiveness with which they develop and implement systems in various areas, including business process management (BPM), healthcare and accounting applications. CRISTAL's ability to manage data and their provenance at the terabyte scale, with full traceability over extended timescales, based on its description-driven approach, has provided the adaptability required to future proof dynamically evolving software for these businesses.
This case study embodies a non-linear relationship between underpinning research, software development and deployment. It involves computer science research at UWE in conjunction with its applied development for the world's largest particle physics laboratory and onward deployment commercially into private sector industry.
Optimisation tools developed in the UoA have significantly advanced the ability to find the best designs for complex systems in cases where these were previously unobtainable. These optimisation tools have been implemented in several companies to shorten design times, reduce costs and reduce CO2 emissions. This has brought about new multi-million pound revenues, long-term contracts, increased employment and contribution to sustainability targets.
Spatial decomposition methods have been extended to apply to spatial, scale, and temporal domains as a result of work at the Numerical and Applied Mathematics Research Unit (NAMU) at the University of Greenwich. This work has led to a numerical framework for tackling many nonlinear problems which have been key bottlenecks in software design and scientific computing. The work has benefitted the welding industry in the UK because these concepts are now embedded, with parallel computing, in the industry's modern welding design process software.
The University of Brighton's (UoB) research has reduced information misuse and decreased the threat of data and identity theft in Nokia Location and Commerce (L&C). Further impact has been to lower the risk of corporate liability and consumers' personal loss. UoB's innovative research in the creation of concept diagrams now underpins and provides rigour to Nokia L&C's privacy engineering processes. Consequently, they can now communicate complex information across diverse teams in an intuitive and accessible manner. Ultimately, the impact is on all customers and users of Nokia's L&C's services worldwide.
Automotive design analysis software based on qualitative reasoning research in the Advanced Reasoning Group at Aberystwyth is deployed at more than 200 automotive and aeronautic OEMs and Tier 1 suppliers world-wide. The software necessitates companies changing their process for performing design analysis, and companies are willing to do this because of the attendant benefits.
The major benefits of use of the software are early feedback on potential problems with the design of automotive systems, and improved safety of automotive designs. Related benefits are improved product time to market, and cost savings. A representative example of production savings of $2.5 million has been given for use of the software on a single product design, as well as Ford Motor Company's estimate of $20M per year saved in just their company.