Waking up to a fire - optimising the smoke alarm signal. On any one night a significant proportion of the population is at risk of sleeping through the current smoke alarm in a fire emergency. Significant risk factors for not awakening include being a child, sleep deprivation, being a heavy sleeper, use of sleeping tablets, alcohol intoxication, and being aged over 60. Yet research suggests that a different alarm signal will awaken these groups more effectively at a lower volume. This innovati ....Waking up to a fire - optimising the smoke alarm signal. On any one night a significant proportion of the population is at risk of sleeping through the current smoke alarm in a fire emergency. Significant risk factors for not awakening include being a child, sleep deprivation, being a heavy sleeper, use of sleeping tablets, alcohol intoxication, and being aged over 60. Yet research suggests that a different alarm signal will awaken these groups more effectively at a lower volume. This innovative project will determine the best signal, with important implications for community public safety, fire safety engineers, the smoke alarm industry and our theoretical understanding of cognitive processing during sleep.Read moreRead less
Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Protecting the Australian passport by developing face recognition training programs that effectively integrate human operators and machine systems. The security of the Australian passport is vital to the fight against crime and terrorism. This project will help detect identity fraud in passport applications by developing training programs drawing on the psychology of face processing to optimally combine human decision making with machine face recognition systems to maximise fraud detection.
Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between ....Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between two major academic institutions in this field.
Finally, the project will provide high-level training in research,
with industrial grounding, in the high performance computing industry.
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Towards optimal face identification systems. This project aims to improve face identification accuracy at a system level. Reliable face identification is critical in security, police and judicial processes. The project will inform policy in the recruitment, training and workflow design underpinning the secure issuance of Australian passports. Expected outcomes of the project will include social and economic gains such as improved efficiency and reliability of key government services. The knowled ....Towards optimal face identification systems. This project aims to improve face identification accuracy at a system level. Reliable face identification is critical in security, police and judicial processes. The project will inform policy in the recruitment, training and workflow design underpinning the secure issuance of Australian passports. Expected outcomes of the project will include social and economic gains such as improved efficiency and reliability of key government services. The knowledge gained as a result of the project in perceptual and cognitive processes will strengthen legal systems and national security by minimising the risk of identification errors in critical roles.Read moreRead less
Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be ....Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be assessed. The effect of the statistical dependency of attribute values will be studied. New methods using clustering for blocking large datasets, and predictive models including interaction terms will be implemented, analysed and evaluated on high-performance computers and office-based PC clusters.
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Integrated Intelligent Decision Support for Field Design and Management of Census Operations in Australia. This project contributes to a more reliable and accurate measurement of the number and key characteristics of Australian people by supporting a more efficient and effective field design and management of the Census operations. As the Census provides a snapshot of Australia and is crucial to communities, private institutions and all levels of government in the planning of services and facili ....Integrated Intelligent Decision Support for Field Design and Management of Census Operations in Australia. This project contributes to a more reliable and accurate measurement of the number and key characteristics of Australian people by supporting a more efficient and effective field design and management of the Census operations. As the Census provides a snapshot of Australia and is crucial to communities, private institutions and all levels of government in the planning of services and facilities, this project not only addresses the research priority of smart information use, but also contributes to strengthening Australia's social and economic fabric. This project will also train highly qualified IT specialists critical to Australia's scientific and industrial development, thus increasing our competitiveness in information technology R&D.Read moreRead less
Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help securi ....Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help security officers to effortlessly and accurately find particular scenes from the images generated by a large closed-circuit TV networks. Also, the developed technology can be applied to tele-education and e-commerce. New algorithms developed in this project will benefit the Australian and world scientific communities.Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
Residential Air Conditioning, Comfort and Demand Response in Australia. Rapid growth in residential air conditioning (AC) ownership will potentially undermine national energy efficiency and greenhouse reduction targets. Furthermore, residential AC is placing a strain on the national electricity system, especially during heat waves when electricity demand peaks. These AC-driven peak loads occur occasionally each summer, but increasing grid capacity to meet them represents a grossly inefficient in ....Residential Air Conditioning, Comfort and Demand Response in Australia. Rapid growth in residential air conditioning (AC) ownership will potentially undermine national energy efficiency and greenhouse reduction targets. Furthermore, residential AC is placing a strain on the national electricity system, especially during heat waves when electricity demand peaks. These AC-driven peak loads occur occasionally each summer, but increasing grid capacity to meet them represents a grossly inefficient infrastructure investment. This project will generate Australia's most comprehensive data set on exactly how, when, where, and why residential AC systems are being used. The outcomes will provide a solid platform on which national electricity demand management and AC greenhouse-gas mitigation strategies can be designed.Read moreRead less