System Identification of Complex System Models. This project lies within an ARC Research Priority Area. Namely, "Frontier Technologies". It involves the development of new technologies and fundamental theory that take data records from physical or abstract systems and generate mathematical models for use in prediction, control and diagnosis of the underlying system. In light of this, the project also lies within the ARC Research Priority Area of "Smart Information Use",
New Model Predictive Control Design Methods. Automatic computer control is fundamental to sustaining a wide range of manufacturing, mineral processing, chemical processing, and other industries vital to the Australian economy. Furthermore, the efficiency, profitability, and environmental impact of these operations is directly linked to the quality of this computer control. In many situations, even a few percent improvement in automatic control delivers dividends measured in many millions of doll ....New Model Predictive Control Design Methods. Automatic computer control is fundamental to sustaining a wide range of manufacturing, mineral processing, chemical processing, and other industries vital to the Australian economy. Furthermore, the efficiency, profitability, and environmental impact of these operations is directly linked to the quality of this computer control. In many situations, even a few percent improvement in automatic control delivers dividends measured in many millions of dollars. This project will develop design tools allowing for more sophisticated, high performance control to be more widely employed. This will deliver the potential for economic and environmental benefits and energy savings to be achieved across a range of industries.Read moreRead less
Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and ra ....Novel time-frequency techniques for analysing and modeling non-stationary physical and engineering data. This project addresses an issue of fundamental importance in science and technology, where non-stationary data (which have time-varying statistics) are ubiquitous. Therefore, the development of time-frequency tools to model and analyse non-stationary data has great potential for impact in a wide range of areas reaching from seismic data analysis to biomedical signal processing to sonar and radar. Employing techniques to be developed in this proposal, we expect to be able to classify and detect features of non-stationary data that were unrecognisable using hitherto known methods.Read moreRead less
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less
Bayesian inference for complex regression models using mixtures. The project will use mixtures to flexibly model complex regression functions and will develop Bayesian methods for carrying out statistical inference on these models. The models will deal with both Gaussian and non-Gaussian data. Multiple explanatory variables are dealt with by mixing simple additives to produce flexible high dimensional function estimates. Variable selection and model averaging will be used to identify important v ....Bayesian inference for complex regression models using mixtures. The project will use mixtures to flexibly model complex regression functions and will develop Bayesian methods for carrying out statistical inference on these models. The models will deal with both Gaussian and non-Gaussian data. Multiple explanatory variables are dealt with by mixing simple additives to produce flexible high dimensional function estimates. Variable selection and model averaging will be used to identify important variables and thus make the estimation more efficient. The methods will be extended to multivariate responses where account will taken be taken of the structure of the dependence between responses.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
A unified framework for analyzing the timescale of interest for traffic measurements, modelling and performance analysis. The revenue generated from traditional telecommunication services is continuing to drop. New value-added services such as multimedia services become the fastest growing revenue-generating sector in Australia's telecommunications industry. The ubiquitous presence of scaling behaviour in network traffic presents a big challenge for delivering better Quality-of-Service (QoS) whi ....A unified framework for analyzing the timescale of interest for traffic measurements, modelling and performance analysis. The revenue generated from traditional telecommunication services is continuing to drop. New value-added services such as multimedia services become the fastest growing revenue-generating sector in Australia's telecommunications industry. The ubiquitous presence of scaling behaviour in network traffic presents a big challenge for delivering better Quality-of-Service (QoS) which is demanded by the new services. A complete understanding of the scaling behaviour and its impact is very important. This research addresses a key problem of defining the timescale range of interest for the scaling behaviour. The research outcome benefits a number of areas, which are all critical for developing enhanced QoS support and better network management.Read moreRead less
Encoding and Communicating Navigable Soundfields. While sound recording is commonplace, it is not currently practical to completely record a sound space such that the experience can be reproduced at a chosen 'listening point'. This is a significant restriction for audio applications in the entertainment, surveillance and virtual/mixed reality areas. The project will research novel and practical solutions to this problem and offers a significant conceptual advance in the transmission of complex a ....Encoding and Communicating Navigable Soundfields. While sound recording is commonplace, it is not currently practical to completely record a sound space such that the experience can be reproduced at a chosen 'listening point'. This is a significant restriction for audio applications in the entertainment, surveillance and virtual/mixed reality areas. The project will research novel and practical solutions to this problem and offers a significant conceptual advance in the transmission of complex audio scenes. This project will build fundamental new technology and IP for Australia in the digital media and audio space, one of the fastest growing sectors of our economy.Read moreRead less
Parametric coding of acoustic fields using models of auditory sensitivity. The project represents cutting edge research in the field of soundfield recording, audio compression and reproduction. The introduction of explicit acoustic field theory to the field of audio compression is a substantive and innovative change that not only furthers the knowledge base in the field but also provides a framework for contributions in related fields such as auditory prosthetics and noise cancellation. The most ....Parametric coding of acoustic fields using models of auditory sensitivity. The project represents cutting edge research in the field of soundfield recording, audio compression and reproduction. The introduction of explicit acoustic field theory to the field of audio compression is a substantive and innovative change that not only furthers the knowledge base in the field but also provides a framework for contributions in related fields such as auditory prosthetics and noise cancellation. The most obvious benefits will be international acclaim and the opportunity to patent, develop and ultimately export technology and systems. Outcomes from the project will benefit consumers and facilitate diverse industries within Australia ranging from health management to the consumer electronics and entertainment industry. Read moreRead less
Advancing System Identification using Modern Optimisation Methods. This project lies within an ARC Research Priority Area. Namely, "Frontier Technologies". It involves the development of new technologies and fundamental theory that take data records from physical or abstract systems and generate mathematical models for use in prediction, control and diagnosis of the underlying system. In light of this, the project also lies within the ARC Research Priority Area of "Smart Information Use",