Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminate ....Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminated by accurate estimation of the clamp force signal, through fusion of more readily available measurements. Development of the proposed data fusion techniques influences the design of future EMBs and enhances the functionality of existing brake-by-wire systems.Read moreRead less
Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techn ....Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.Read moreRead less
Individualized cochlear implant sound coding: Optimized algorithms for better hearing. One in six Australians is affected by hearing loss. Hearing loss impacts on a person's educational and employment opportunities, resulting in a significant economic impact upon Australia. Over 10% of people with hearing impairment have a severe or profound hearing loss and may be candidates for a cochlear implant. Current cochlear implant sound processing only offers limited benefit to users. This project repr ....Individualized cochlear implant sound coding: Optimized algorithms for better hearing. One in six Australians is affected by hearing loss. Hearing loss impacts on a person's educational and employment opportunities, resulting in a significant economic impact upon Australia. Over 10% of people with hearing impairment have a severe or profound hearing loss and may be candidates for a cochlear implant. Current cochlear implant sound processing only offers limited benefit to users. This project represents a truly innovative pathway forward in the development of cochlear implant sound coding that could substantially increase the speech perception of users, enabling these people to become and remain active and productive members of our community.Read moreRead less