Creating perceptual experts in Australia's policing and security agencies. This project aims to create the next generation of experts in Australia’s policing and national security agencies, by improving crime scene evidence interpretation. Agencies are under pressure to develop more rigorous training practices that go beyond mere intuition and tradition. This project will use a novel approach that directs learning toward the most diagnostic perceptual cues. Expected outcomes include a solid empi ....Creating perceptual experts in Australia's policing and security agencies. This project aims to create the next generation of experts in Australia’s policing and national security agencies, by improving crime scene evidence interpretation. Agencies are under pressure to develop more rigorous training practices that go beyond mere intuition and tradition. This project will use a novel approach that directs learning toward the most diagnostic perceptual cues. Expected outcomes include a solid empirical basis for national training programs designed to create experts that are accurate, reliable, and continuously improving. Improving the training of experts will ensure the integrity of forensics as evidentiary tools available to police, lead to more reliable courtroom convictions and help safeguard Australia from terrorism and crime.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.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.
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
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
Detecting identity fraud in passport applications: Improving human operator performance through better understanding of unfamiliar face processing. The passport is a vital link in the defence of Australia against terrorism and crime. In this project researchers will work with the Department of Foreign Affairs and Trade to improve the ability of staff to detect identity fraud in passport applications, thus helping to protect the integrity of the Australian passport as a trusted identity document.
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less