Discovery Early Career Researcher Award - Grant ID: DE120100802
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Developing novel concepts for improved safety in aircraft emergency situations. The outcomes of this project will enable the creation of an emergency system that can improve visual situation awareness in emergency landing scenarios by investigating novel detection, control and planning algorithms. The project will contribute significantly to Australia's share in technologies for aircraft automation.
Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW:
(1) Dynamics of gears for diagnostics and noise control
(2) Application of blind source separation techniques to mechanical problems
(3) Application of cyclostationary signal analysis techniques to machine diagnostics
(4) Determination of structural dynamic properties from response measure ....Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW:
(1) Dynamics of gears for diagnostics and noise control
(2) Application of blind source separation techniques to mechanical problems
(3) Application of cyclostationary signal analysis techniques to machine diagnostics
(4) Determination of structural dynamic properties from response measurements
(5) Diagnostics of diesel engines and other reciprocating machines.
This project will result in the publication of joint papers in each of these topics, and give material to form the basis of an application for at least one FAIR project in the area of gear noise control and diagnostics.Read moreRead less
Human-Unmanned Aerial Vehicle interactions: Making drones talk and listen. This project aims to develop audio technology to enable unmanned aerial vehicles or drones to hear, use speech and sound to communicate with humans, acoustically sense their surroundings and make them less noisy. This project expects to generate new knowledge in acoustic signal processing and its application in drones using innovative approaches, such as use of miniature microphone and loudspeaker arrays, and active noise ....Human-Unmanned Aerial Vehicle interactions: Making drones talk and listen. This project aims to develop audio technology to enable unmanned aerial vehicles or drones to hear, use speech and sound to communicate with humans, acoustically sense their surroundings and make them less noisy. This project expects to generate new knowledge in acoustic signal processing and its application in drones using innovative approaches, such as use of miniature microphone and loudspeaker arrays, and active noise control. Expected outcomes include development of new theories, Intellectual Property, with potential commercial value, and training of next generation researchers. This should provide significant benefits with applications in life saving, search and rescue operations, transportation of goods, and creation of 3D media.Read moreRead less
Fundamentals of active sensor network for damage identification in engineering structures. The development of active sensor network techniques for Australia's vast civil and defence infrastructure will improve operational safety, reduce maintenance costs and extend the residual life of many of our engineered assets. The resulting cost-efficiencies will advantage Australian producers in competitive global markets; our companies will be well placed to produce and install active sensor network tech ....Fundamentals of active sensor network for damage identification in engineering structures. The development of active sensor network techniques for Australia's vast civil and defence infrastructure will improve operational safety, reduce maintenance costs and extend the residual life of many of our engineered assets. The resulting cost-efficiencies will advantage Australian producers in competitive global markets; our companies will be well placed to produce and install active sensor network techniques and to provide training in the associated asset management systems. Australian industry will have a unique opportunity to collaborate with the world-class research networks on emerging areas such as damage diagnosis, prognosis and control, and structural repair.Read moreRead less
Vector quantization approaches to nonlinear stochastic estimation. Many problems in health, economics, telecommunications and industrial control can be formulated as estimation problems with uncertain data. This project is aimed at developing a novel class of algorithms aimed at high complexity estimation problems. If successful, the project will provide new approaches to these problems.
Joint modelling and recognition of linguistic and paralinguistic speech information. A new modelling framework will be developed exploiting interdependence between linguistic and paralinguistic cues to improve automatic recognition of emotion-related information. Applications in the high-tech industry include automatic routing of angry telephone customers or pre-suicidal crisis centre callers to specialist operators/clinicians.
Automated Diagnosis of Faults in Rotating Machinery using Adaptive Network Based Fuzzy Inference. The long-term integrity of engineering assets depends on the quality of their maintenance which runs into billions of dollars per year in Australia. This project aims to develop a new fundamental automated technique for the detection and diagnosis of machinery faults. The innovation lies in the ability of this technique to not depend on knowledge of fault components in the discrete wavelet packet ....Automated Diagnosis of Faults in Rotating Machinery using Adaptive Network Based Fuzzy Inference. The long-term integrity of engineering assets depends on the quality of their maintenance which runs into billions of dollars per year in Australia. This project aims to develop a new fundamental automated technique for the detection and diagnosis of machinery faults. The innovation lies in the ability of this technique to not depend on knowledge of fault components in the discrete wavelet packet analysis. All other work conducted to date depends on knowledge of these components and their location. The results of this work will vastly improve the costly manually based diagnostics procedures in the maintenance of plant and industrial assets.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