The development of new techniques for partial discharge monitoring and location in high voltage underground power cables. Increased utilization factors have caused a significant increase in the loading of high voltage distribution cables. This increased loading subjects cable insulation to increased stress which can degrade the insulation, cause cable failure and power loss to consumers. On-line cable insulation monitoring is required and partial discharge monitoring in cables provides a viable ....The development of new techniques for partial discharge monitoring and location in high voltage underground power cables. Increased utilization factors have caused a significant increase in the loading of high voltage distribution cables. This increased loading subjects cable insulation to increased stress which can degrade the insulation, cause cable failure and power loss to consumers. On-line cable insulation monitoring is required and partial discharge monitoring in cables provides a viable technique, but technical problems have prevented its application in on-line operation.
This project will develop techniques for such on-line monitoring. High frequency electrical sensors will be used to reduce interference and improve signal levels. Both a coarse alarm and a higher sensitivity monitor will be developed.
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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.
Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties ....Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties of the algorithms via intelligent processing. In this light the project also lies within the ARC research priority area of "Smart Information use".Read moreRead less
Automatic speech-based assessment of mental state via mobile device. This project aims to create the first mobile, device-based automatic assessment of mental state from acoustic speech. Focusing on novel approaches for eliciting speech, for regression-based scoring of mental state and for longitudinal modelling of speech, the project takes speech processing out of the laboratory and into realistic environments. The project is significant because elicitation approach and longitudinal modelling h ....Automatic speech-based assessment of mental state via mobile device. This project aims to create the first mobile, device-based automatic assessment of mental state from acoustic speech. Focusing on novel approaches for eliciting speech, for regression-based scoring of mental state and for longitudinal modelling of speech, the project takes speech processing out of the laboratory and into realistic environments. The project is significant because elicitation approach and longitudinal modelling have been acknowledged by the research community as challenges that are valuable to investigate, and because conventional regression methods are sub-optimal on ordinal mental state scales. This is significant commercially because mobile devices allow individually tailored, frequent and low-cost mental state assessment. Expected outcomes will include commercial-ready technology, trialled on Australians, accessible to everyone with a mobile device and concentration of Australian research and development capability in a rapidly growing application area.Read moreRead less
Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic ....Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic noisy speech signals and the ‘cocktail party problem’ using innovative binaural feedback systems. This work should provide significant benefits, including improved voice biometrics and selective auditory attention capabilities in machines.Read moreRead less
Integrating biologically-inspired auditory models into deep learning. This project aims to discover how a biologically inspired auditory model can be tightly integrated into a state-of-the-art deep learning speech processing framework, to model, design and verify a deep learning based auditory model. Voice-based technologies, ranging from cochlear implants to smart homes, are growing at a rapid pace and speech interfaces are being integrated with all aspects of our lives. However, there is a gro ....Integrating biologically-inspired auditory models into deep learning. This project aims to discover how a biologically inspired auditory model can be tightly integrated into a state-of-the-art deep learning speech processing framework, to model, design and verify a deep learning based auditory model. Voice-based technologies, ranging from cochlear implants to smart homes, are growing at a rapid pace and speech interfaces are being integrated with all aspects of our lives. However, there is a growing demand to improve these voice-enabled services, making them more secure and less open to cyber-crime attack by unauthorised users. The project is expected to improve techniques for modelling and automatic processing of speech and audio signals, which should provide significant benefits, including improved voice biometrics and cochlear implants.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101292
Funder
Australian Research Council
Funding Amount
$324,446.00
Summary
Sparse link discovery for mobile millimeter-wave communications. This project will advance knowledge of designing wireless networks by providing new design principles and delivering innovative techniques for ultra-high data-rate mm-wave communications.. Drawing upon advances in signal processing and optimisation theory, this project will provide new design principles and deliver innovative techniques that will reduce the cost of operating mm-wave networks. The project will release the tension of ....Sparse link discovery for mobile millimeter-wave communications. This project will advance knowledge of designing wireless networks by providing new design principles and delivering innovative techniques for ultra-high data-rate mm-wave communications.. Drawing upon advances in signal processing and optimisation theory, this project will provide new design principles and deliver innovative techniques that will reduce the cost of operating mm-wave networks. The project will release the tension of spectrum crunch, facilitate the development of the next generation cellular systems and will lead to improved wireless service.Read moreRead less
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
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