The theme is concerned with providing an intelligent information infrastructure leading to smarter, optimised embedded chips, including data and the way it is collected, managed, used, visualised, stored, accessed, interpreted etc... to optimise the response of the application.

  • Semantically model relationships between the embedded chips and environmental data;
  • Derive necessary performance techniques that enable systems to be optimally designed for reliability, with an intelligent diagnostic and prognostic capability;
  • Provide an intelligent information infrastructure, requiring multi-layered ontologies that will have to be researched, designed and constructed to deal with the large volume of terse data sets;
  • To enable effective, reliable and resilient cross-system integration;
  • Deriving ontologies with a layered approach, providing direct mapping to data stores to aid with cataloguing the vast volumes of real-time terse data from embedded systems;
  • Incorporating the dynamic relationship between data sets and models developed from applications, e.g. manufacturing processes (e.g. utilising existing BPM);
  • Ensuring compatibility of the semantics between source and target systems, e.g. aided by use of XML;
  • Developing semi-automated node and linking techniques to increase efficiency and ensure system adaption to changing situations;
  • Providing feedback into the ontology and the system to provide new ontological links and update existing data;
  • Interrogation of the ontology to determine the critical quantifiable lifecycle process characteristics that relate to the inherent performance drivers, allowing rapid identification of significant factors and complex interactions, and show overall system performance;
  • Evolving ontologies to provide an adaptive integrated Bayesian network infrastructure that will be used to analyse overall system performance and predict areas for optimisation.

PhD Projects with a focus in the area include:

  • Pawel Ladosz co-sponsored by a multipartner consortium "Support autonomous operation of unmanned aircraft systems with computer vision"
  • Rhys Commisiong co-sponsored by Caterpillar "Finding optimal sensor and actuator configurations"
  • Melanie Zimmer Co-sponsored by HSSMI "Multi-agent negotiation strategies for dynamic energy reduction in manufacturing"
  • Adrian Ayastuy Rodriguez co-sponsored by Moredun Institute "Smart Sensors for Detection of Lack of Appetite in Cattle"
Intelligent Software 800 V2

general enquiries contact

Loughborough University

cdt-ei@lboro.ac.uk
Wolfson School
Loughborough University
Loughborough, Leicestershire
LE11 3TU
United Kingdom