Current and Past AURA Projects

Current

CARMEN

This project aims to build a data repository for data a services used in neuroscience. The AURA based work is being used to implement a search engine for electropysiology based data. The project is in collaboration with 11 other Universities. The project is funded by EPSRC where details can be found.

Freeflow

Freeflow is a project aimed at optimising traffic flow in transport networks. The AURA technology is being used to look for patterns in the traffic flows and other information. The project runs for 3 years from Nov 2007, and is supported by TSB, DofT and EPSRC.

Past

AICP - AURA INTELLIGENT CO-PROCESSOR

AICP seeks to develop a new IP-Core based upon the successful AURA technology, developed by York University and Cybula Ltd.

BROADEN

Follow up to the DAME project.

AURAMOL

AURAMOL is a molecule shape search facility, based upon the AURA high performance pattern recognition technology. AURAMOL allows a user to take a candidate 2D or 3D molecular shape and use it to search for similarly shaped molecules in large databases. The system was developed in the Computer Science Department, University of York, UK in collaboration with Cybula Ltd.

FEDAURA

The FEDAURA Project developed and evaluated new computerised methods for automated Benefit fraud detection. Fraudulent Benefit claims are a huge problem. The UK Government loses up to £7 billion in mispaid benefits. Detecting bogus claims amongst the immense number of overall claims is a complex and time-consuming task.

EUREDIT

The development and evaluation of new methods for editing and imputation. EUREDIT provided a significant advance in the quality of the methodologies and techniques that underpin data gathering in pursuit of these objectives. In turn, this helps improve the quality of decision-making based on socio-economic research data at all levels and ultimately better services for the European citizen.

DAME

DAME (Distributed Aircraft Maintenance Environment) was an e-Science pilot project, demonstrating the use of the GRID to implement a distributed decision support system for deployment in maintenance applications and environments. DAME demonstrated how the GRID and web services can facilitate the design and development of systems for diagnosis and maintenance applications which combine geographically distributed resources and data within a localised decision support system.