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
Model-based estimation methods for improved classification of electroencephalographic data: application to monitoring depth of anaesthesia. This project will use advanced computing methods applied to electrical brain wave recordings to track how the brain changes as a person undergoes general anaesthesia during surgery. This will lead to better anaesthesia monitoring devices and reduce the chances of people experiencing pain during surgery or IQ deficits after the anaesthesia.
Active Vibration Control of a Cricket Bat using Piezoelectric-based Smart Materials Technology. Improvement of sporting equipment performance of late has largely ignored the game of cricket. Using the combined disciplines of advanced materials and control technologies, it is anticipated that the traditional cricket bat can be vastly improved while keeping to bat modification guidelines as specified in the rules of the game. This project involves the dynamic study of the bat using established e ....Active Vibration Control of a Cricket Bat using Piezoelectric-based Smart Materials Technology. Improvement of sporting equipment performance of late has largely ignored the game of cricket. Using the combined disciplines of advanced materials and control technologies, it is anticipated that the traditional cricket bat can be vastly improved while keeping to bat modification guidelines as specified in the rules of the game. This project involves the dynamic study of the bat using established experimental techniques. Once the various regions of high strain rates are determined, smart materials technologies will be used to reduce the transient vibrations transmitted to the batsman. The effect of this monitoring and control is to increase the comfort level and hence, effectiveness of the batsman.Read moreRead less
Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse process ....Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse processing algorithms based on optimal filtering of stochastic processes. It is expected that these algorithms will have widespread impact, both commercially for minerals exploration, materials analysis, medical imaging and security screening, and scientifically for improving the performance of synchrotrons and other equipment.Read moreRead less
Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical op ....Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical open-channel networks. The main challenges are the development of suitable models for designing outlet-flow control systems, optimization-based outlet-flow scheduling methods for ensuring operation within hydraulic constraints, and system monitoring techniques. This project will design automatic control systems to enable low-energy water distribution from open-channels to end-users by pipes.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage fro ....Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage from tailings dams, and more precise mapping of dryland salinity. The project also aims to develop a method to calibrate AEM systems, leading to more accurate environmental mapping and significant long-term economic benefits.Read moreRead less
Optimisation of signal processing and electrical stimulation algorithms for the abatement of epileptic seizures. Epilepsy is the second-most common neurological disorder behind stroke and ischemic attacks, affecting 1-2 per cent of the nation's population. Pharmaceutical therapies are ineffective in approximately one third of cases, the result being a large unmet need for novel treatments. The devices to be produced through this project will improve the quality of life of many patients in the fu ....Optimisation of signal processing and electrical stimulation algorithms for the abatement of epileptic seizures. Epilepsy is the second-most common neurological disorder behind stroke and ischemic attacks, affecting 1-2 per cent of the nation's population. Pharmaceutical therapies are ineffective in approximately one third of cases, the result being a large unmet need for novel treatments. The devices to be produced through this project will improve the quality of life of many patients in the future and alleviate their dependence on traditional medications. The devices will also reduce the patients' requirements for medical practitioners, hospital and ambulance services, and will therefore also reduce the financial burden that neurological and epilepsy patients place on the community.Read moreRead less
Implementation of cognitive radar techniques in resource limited radar systems. Cognitive radar technology enables a multiple functional radar system to be built on a single chip, to be of high efficiency and low cost. Waveform design and scheduling play a key role in such a system. This project will investigate and design waveforms and scheduling methods for building a real cognitive radar system in the extremely high frequency band.
Prediction of epilepsy seizure onset using nonlinear analysis of EEG recordings. This project will develop the theory and algorithms for reliable and robust prediction of the onset of epileptic seizures and the characterisation of epileptic seizures based on EEG data. Our interdisciplinary team consists of neuroscientists and systems engineers supported with clinicians and software developers. The team will develop the theory and design, implement and evaluate decision support software that is a ....Prediction of epilepsy seizure onset using nonlinear analysis of EEG recordings. This project will develop the theory and algorithms for reliable and robust prediction of the onset of epileptic seizures and the characterisation of epileptic seizures based on EEG data. Our interdisciplinary team consists of neuroscientists and systems engineers supported with clinicians and software developers. The team will develop the theory and design, implement and evaluate decision support software that is able to interpret eeg data and present epilepsy relevant information to clinicians and patients. Our methods are based on statistical signal processing, nonlinear dynamics (bifurcation and time-series methods) and systems engineering (system identification, adaptive methods).Read moreRead less