This research is concerned with the non-destructinve testing of cable insulation and associated semiconducting sheaths that insulate high voltage cables. The current inspection procedure for testing the cable insulation utilises conventional X-ray and photographic film technologies. With this system, it is possible to produce clear images of the cable insulation and identify defects as small as 50 �m, however process is labour intensive, time consuming, requires a dark room for processing, uses specialist knowledge, can be subject to interpretation and other human errors, produces significant chemical waste, and it is difficult to catalogue inspection results. For these reasons, there is a drive to convert the system into an automated digital system. It is hoped that as a result of this research such a system will be produced.
This project is concerned with the development of a novel technique for the remote inspection and monitoring of partial discharge events in high voltage cable systems using an optical network. The measurement mechanism uses the capacitive coupler-measured PD signal and applies it across an electro-optic modulator (EOM), which modulates the intensity of the transmitted laser light as an approximately linear function of the voltage applied across it. The optical network supplies polarised laser light via optical fiber to the EOM input, and monitors the optical output from the modulator using an high speed optical receiver. The EOM is compact and passive requiring no power to operate.
The gap metric and its variants play a fundamental role in robust linear control. In an important paper, Georgiou and Smith established a far-reaching generalisation of the gap metric to nonlinear systems. This project initially developed a new approach torobust adaptive control within this robust uncertainty framework.
A second line of research considers the relationship between nonlinear graph topologies and various formulations of the gap metric. In particular relationships between the theory of the gap metric and nonlinear co-prime factorisations have been developed. This is mostly in the context of gain-function notions of stability.
This project considered the relative performance between two standard classes of robust adaptive controllers, namely designs based on the dead-zone and projection modification.
Simple criteria were established to indicate when each design outperformed the other w.r.t. to a non-singular performance cost functional penalising both the output and the control transient.
This project concerns the comparison between various output feedback controllers for nonlinear systems. Performance is assessed by a non-singular cost-functional and techniques are developed to bound these costs.
The Trusted Software Agents and Services (TSAS) project is investigating and demonstrating the Trust issues that arise from accessing software services and utilising agent technology in PervasiveComputing environments. The project is developing software/hardware demonstrators with which to explore and highlight trust matters in the context of applications such as home finance or tele-medicine. The project is also examining the appropriate validation techniques that can help to achieve assurance of trustworthiness in such technologies.
The project is a part of the DTI Next Wave Technologies and Markets programme. The project is a collaborative effort involving the QinetiQ Distributed Technology Group, together with the Declarative Systems and Software Engineering (DSSE) group, and the Intelligence Agents Multimedia (IAM) group, both at the University of Southampton.
To date Grid development has focused on the basic issues of storage, computation and resource management needed to make a global scientific community's information and tools accessible in a high performance environment. However, from an e-Science viewpoint, the purpose of the Grid is to deliver a collaborative and supportive environment that allows geographically distributed scientists to achieve research goals more effectively. MyGrid aims to design, develop and demonstrate higher level functionalities over an existing Grid infrastructure that support scientists in making use of complex distributed resources
myGrid is a research project that will extend the Grid framework of distributed computing, producing a virtual laboratory workbench that will serve the life sciences community. The integration environment will support patterns of scientific investigation that include:
Scientists will have the ability to customize the work environment to reflect their preferences for resource selection, data management and process enactment. MyGrid's applicability to the bioinformatics community will be tested through use cases our academic and industry partners develop. Minimally, the environment will be able to support activities relating to the analysis of functional genomic data and the annotation of pattern databases.
The goal of the project is to develop an e-Science test-bed that integrates existing structure and property data sources, and augments them within a grid-based information and knowledge environment. The synthesis of new chemical compounds by combinatorial methods provides major opportunities for the generation of large volumes of new chemical knowledge and is the principal drive behind the project. An extensive range of primary data needs to be accumulated, integrated and relationships modelled, so that maximum knowledge can be derived. The service-based grid-computing infrastructure extends to devices in the laboratory and involves enriched systems, (including multimedia and live metadata), full support for provenance and innovative techniques for automation throughout the environment. The results of the project will impact on the design of materials through the prediction of properties and the identification of suitable compounds in a variety of applications.