Robust Beamforming for Radar Imaging. The impact of radar imaging technologies on security and search and rescue operations is indisputable. They play a vital role in safeguarding a country from terrorism and crime, protecting its borders, and predicting adverse weather patterns. Searching for survivors in disaster areas such as earthquakes and fires can greatly benefit from the proposed research. Law-enforcement officers can employ radar imaging technology to enable accurate determination of t ....Robust Beamforming for Radar Imaging. The impact of radar imaging technologies on security and search and rescue operations is indisputable. They play a vital role in safeguarding a country from terrorism and crime, protecting its borders, and predicting adverse weather patterns. Searching for survivors in disaster areas such as earthquakes and fires can greatly benefit from the proposed research. Law-enforcement officers can employ radar imaging technology to enable accurate determination of targets of interest, obstacles, weapons, victims, outlaws, and hostages inside enclosed structures or buildings. The proposed research and its findings will support the development of cutting edge radar imaging research and technology in Australia.Read moreRead less
eResearch in the Neurosciences: Building collaborations in Asia. The proposed Australasian collaboration on eResearch in Neuroscience will promote and maintain the good health of Australians by 'improving critical mass through collaboration and information sharing' through increased access to advanced imaging technology in Korea and analysis techniques in Japan. The collaboration will also promote frontier technologies for building and transforming Australian industries by developing a creative ....eResearch in the Neurosciences: Building collaborations in Asia. The proposed Australasian collaboration on eResearch in Neuroscience will promote and maintain the good health of Australians by 'improving critical mass through collaboration and information sharing' through increased access to advanced imaging technology in Korea and analysis techniques in Japan. The collaboration will also promote frontier technologies for building and transforming Australian industries by developing a creative and innovative research environment and enhancing Australian scientists' participation in breakthrough science. Great national benefit can be derived from international research collaboration, due to the contribution frontier technology can make to science and health. Read moreRead less
Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition an ....Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition and an efficient algorithm for constructing and training NNE. Practical outcomes will include research training for early career researchers and new modelling tools for data mining, robotics and multi-agent systems. The project contributes to the national priority area of smart information use.Read moreRead less
Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be ....Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be the gaining of skills in research techniques, e.g., utilising a support vector machine as a classification tool, data mining techniques developed originally by the Australian partner's group, and in further developments of these techniques with specific applications to the internet web page mining problem.Read moreRead less
Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how t ....Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how these two factors affect the scores of a web page in a search engine, and hence how they affect the visibility of the page in response to a query.
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Operator Decision Modelling in Autonomous Systems. The incorporation of humans as decision-makers into a complex system comprising of many autonomous agents is becoming increasingly important in areas such as defence, search-and-rescue, special emergency services, bush-fire and ecology management. This project will address how human decisions are made in such systems through the formulation and demonstration of innovative algorithms which model the operator decision making process. Generating so ....Operator Decision Modelling in Autonomous Systems. The incorporation of humans as decision-makers into a complex system comprising of many autonomous agents is becoming increasingly important in areas such as defence, search-and-rescue, special emergency services, bush-fire and ecology management. This project will address how human decisions are made in such systems through the formulation and demonstration of innovative algorithms which model the operator decision making process. Generating solutions to this increasingly important area will provide Australia's industry and community services the necessary knowledge for deploying such systems and thus improving service effectiveness, as well as the implementation of autonomous systems into new areas and thus increasing economic growth.Read moreRead less
Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environm ....Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environment for large classification tasks, and Prof. Lee¡¯s work will focus in managing large amounts of data for them. Using his experience in data compression, databases and web applications, he will produce a set of tools for handling Gigabytes of textual data in our classification environment.Read moreRead less
International Evaluation of Algorithms for Mapping in Optically Shallow Waters. This work provides a means for Australian science and management agencies to apply a method for accurately mapping shallow coastal environments. The work will build Australian research capability by developing new collaborations among experienced researchers; as well as allowing the Australian teams to benchmark their proposed methods internationally. Nationally, the work will strengthen international research exper ....International Evaluation of Algorithms for Mapping in Optically Shallow Waters. This work provides a means for Australian science and management agencies to apply a method for accurately mapping shallow coastal environments. The work will build Australian research capability by developing new collaborations among experienced researchers; as well as allowing the Australian teams to benchmark their proposed methods internationally. Nationally, the work will strengthen international research experience and generate opportunities for postgraduate and postdoctoral researchers to link into leading-edge international research networks. This work will also allow us to build strong ongoing collaborations between research teams in Australia and their counterparts overseas (specifically USA, Canada, UK and Germany). Read moreRead less
Acoustic Filter Functions from Morphological Measurements. This project works toward enabling the broadcast of high-fidelity 3D audio. By developing an efficient technique for deriving personalised acoustic filter functions based on image data of the listener's head and ears, we hope to enable high-fidelity 3D audio decoding and rendering. Morphological parameterisation techniques and databases recently developed at the University of York will be combined with the statistical synthesis technique ....Acoustic Filter Functions from Morphological Measurements. This project works toward enabling the broadcast of high-fidelity 3D audio. By developing an efficient technique for deriving personalised acoustic filter functions based on image data of the listener's head and ears, we hope to enable high-fidelity 3D audio decoding and rendering. Morphological parameterisation techniques and databases recently developed at the University of York will be combined with the statistical synthesis techniques and databases developed at the University of Sydney to substantially reduce the development time required for either group alone. Psychoacoustic experiments carried out at the University of Sydney will demonstrate the fidelity of the delivered 3D audio.Read moreRead less
Supercomputer Simulation of Multiscale Dynamic Behaviour in Multiphase Deformable Porous Media. This project will establish and consolidate links between leading groups in China and Australia to develop a new and unique multiscale computational model and algorithm for simulating multiphase nonlinear behaviours of the porous media under dynamic loading conditions, and improve technology transfer between the two groups by the mobility of the ARC International Fellow. This will aid Australian geosc ....Supercomputer Simulation of Multiscale Dynamic Behaviour in Multiphase Deformable Porous Media. This project will establish and consolidate links between leading groups in China and Australia to develop a new and unique multiscale computational model and algorithm for simulating multiphase nonlinear behaviours of the porous media under dynamic loading conditions, and improve technology transfer between the two groups by the mobility of the ARC International Fellow. This will aid Australian geoscience and mining industry, such as in HFR geothermal/UCG energy facility design, construction, risk assessment and production and could help Australia shift away from greenhouse gases and become a world leader in the emerging worldwide HFR geothermal/UCG industry.Read moreRead less