Discovery Early Career Researcher Award - Grant ID: DE190100162
Funder
Australian Research Council
Funding Amount
$405,000.00
Summary
Intelligent wireless access for Internet of Things. This project aims to develop and validate fundamental theories and techniques for a novel intelligent wireless access paradigm to enhance the efficiency in frequency usage. This innovative approach will be one of the critical enablers for massive device access necessary for future wireless network evolution to support the growing Internet-of-Things. It will enable co-working devices to autonomously sense the local radio frequency landscape, det ....Intelligent wireless access for Internet of Things. This project aims to develop and validate fundamental theories and techniques for a novel intelligent wireless access paradigm to enhance the efficiency in frequency usage. This innovative approach will be one of the critical enablers for massive device access necessary for future wireless network evolution to support the growing Internet-of-Things. It will enable co-working devices to autonomously sense the local radio frequency landscape, determining how to avoid interference, and exploiting opportunities to intelligently and efficiently access the available radio resources. This will lead to enhanced efficiency in radio resource usage. The project will significantly improve the efficiency of current radio resource utilisation and offer solutions to a challenge of national significance.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
Discovery Early Career Researcher Award - Grant ID: DE120102210
Funder
Australian Research Council
Funding Amount
$350,333.00
Summary
Feedback control as a tool for enhanced neuroprosthetic stimulation. The aim is to use control theory tools to find optimal stimulation parameters to use in a bionic implant. This project will lead to improvements in understanding of mechanisms underlying electrical stimulation and to improvements in medical bionics technologies.
Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to ....Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to solve inverse problems is expected to advance technology toward lower power, lower cost solutions for MRI scanners in healthcare and industrial applications, including materials science and mineral processing.Read moreRead less
New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficie ....New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.Read moreRead less
Modelling of neural plasticity for enhanced performance of brain-machine interfaces. Plasticity of the brain is one of the great scientific challenges of neuroscience. The aim of this project is to model the synaptic changes that occur with reward-modulated spike-timing-dependent plasticity and apply the model to developing plasticity targeted brain-machine interfaces. The significance of this approach is that such plasticity targeted techniques provide the prospect of taking advantage of the un ....Modelling of neural plasticity for enhanced performance of brain-machine interfaces. Plasticity of the brain is one of the great scientific challenges of neuroscience. The aim of this project is to model the synaptic changes that occur with reward-modulated spike-timing-dependent plasticity and apply the model to developing plasticity targeted brain-machine interfaces. The significance of this approach is that such plasticity targeted techniques provide the prospect of taking advantage of the underlying neural plasticity to optimise the form of the neural recording and electrical stimulation. The outcomes will be to greatly improve the performance of brain-machine interface in terms of measures such as the number and sensitivity of channels, as well as robustness and reliability.Read moreRead less
Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant wea ....Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant weaknesses. We will deliver considerable improvements in monitoring capability by developing the technology for using a network of small phased array radars. We aim to place monitoring resources where end-user needs are greatest.Read moreRead less
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
Discovery Early Career Researcher Award - Grant ID: DE210101181
Funder
Australian Research Council
Funding Amount
$403,775.00
Summary
Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multipl ....Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multiple mobile agents (e.g. vehicle) to enhance their ability to anticipate situations in dynamic environments and to act effectively to enhance safety. This should provide benefits for the development of cooperative autonomous driving to enhance road safety.Read moreRead less
Developing a Smart Monitoring System for Leakage Currents from Insulators on Wooden Poles. Numerous wooden poles are used for electricity power transmission in urban and rural areas of Australia. Insulators suspended on poles are subject to contamination and moisture that cause partial discharge currents to flow through the wooden poles, resulting in pole fires leading to loss of power to customers and possible bush fires. This project aims at studying the characteristics of leakage currents fr ....Developing a Smart Monitoring System for Leakage Currents from Insulators on Wooden Poles. Numerous wooden poles are used for electricity power transmission in urban and rural areas of Australia. Insulators suspended on poles are subject to contamination and moisture that cause partial discharge currents to flow through the wooden poles, resulting in pole fires leading to loss of power to customers and possible bush fires. This project aims at studying the characteristics of leakage currents from insulators on wooden poles in Australian conditions and developing a smart monitoring system to detect and prevent pole fires caused by leakage currents. The outcomes will reduce the risk of pole fires, hence improving public safety, reliability of power supply and sustainability of the Australian power industry.Read moreRead less