Recently-completed projects

An overview of recently-completed research projects in the ESL is given below.

Designing and implementing embedded fault diagnosis systems using MLP and RBFN classifiers

Yuhua Li and Michael Pont

As new microcontrollers and related devices have become available, it has become possible to create embedded systems for condition monitoring and fault diagnosis (CMFD). This project is investigating how two popular and effective classifiers, the Multi-Layer Perceptron (MLP) and Radial Basis Function neural Network (RBFN), can be most effectively employed in embedded CMFD systems.

Related publications

Techniques intended to reduce the impact of program-flow errors on embedded systems

Royan Ong and Michael Pont

[Further information about this project will be available shortly.]

Related publications

Design of classifiers for condition monitoring and fault diagnosis applications

Chinmay Parikh and Michael Pont

[Further information about this project will be available shortly.]

Related publications

Design and evaluation of a novel co-operative scheduler employing a pre-emptive task guardian

Sony K. Paul and Michael J. Pont

Sony K. Paul joined the ESL for 10 weeks during the summer of 2003, funded by an Undergraduate Research Bursary from the Nuffield Foundation. This project was very successful, and details of the resulting publication will be included here shortly.

The photograph below shows Sony hard at work on this project.

A framework for analysing evolutionary algorithms using design patterns

Chen Pang Wong and Michael Pont

[Further information about this project will be available shortly.]

Related publications

Author: S A Key, last updated 16/11/2004. Best viewed on 1024 x 768.
This document has been approved by the Head of Department.