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Socio-Economic Objective : Information processing services
Research Topic : intelligence
Australian State/Territory : SA
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  • Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100235

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure wil .... Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure will accelerate the pace of surveillance research and development in Australia, enhancing the competitiveness of both Australia's researchers and the businesses that will commercialise these researchers' discoveries.
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    Funded Activity

    Discovery Projects - Grant ID: DP1094764

    Funder
    Australian Research Council
    Funding Amount
    $195,000.00
    Summary
    Tracking targets in large scale surveillance camera networks. The research is expected to provide a significant boost in the effectiveness of safety and security measures for public facilities and open spaces that are monitored by surveillance cameras. The general public benefits from this through a decreased need for intrusive security measures, and increased deterrence of crime and anti-social behaviour. This capability is in demand worldwide for both public and private camera networks, whose .... Tracking targets in large scale surveillance camera networks. The research is expected to provide a significant boost in the effectiveness of safety and security measures for public facilities and open spaces that are monitored by surveillance cameras. The general public benefits from this through a decreased need for intrusive security measures, and increased deterrence of crime and anti-social behaviour. This capability is in demand worldwide for both public and private camera networks, whose usefulness is currently limited by the difficulty of monitoring them. We therefore anticipate considerable commercial interest in Australia and internationally.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100791

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Image search for simulator content creation. The World Wide Web contains tens of billions of images, with personal and industrial collections stretching to may times that number. The potential economic value of these image-based resources is enormous, but largely untapped as we have no practical way of recovering the images we need. This project will develop image search technologies which will allow Australian industry to exploit these important resources. Some of the wide variety of possible .... Image search for simulator content creation. The World Wide Web contains tens of billions of images, with personal and industrial collections stretching to may times that number. The potential economic value of these image-based resources is enormous, but largely untapped as we have no practical way of recovering the images we need. This project will develop image search technologies which will allow Australian industry to exploit these important resources. Some of the wide variety of possible applications might include the searching of surveillance video for objects of interest, vision-based guidance of unmanned vehicles, smart-phone and smart-home systems which understand their environments, and stock tracking systems which can detect spoilage.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561231

    Funder
    Australian Research Council
    Funding Amount
    $671,715.00
    Summary
    MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools acc .... MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools accessible through the Internet will enable researchers to archive, retrieve and exchange data and software; access distributed MR image databases and the latest MR image analysis tools; schedule analysis tasks on the grid compute engine, the outcomes of which will be visualized by the visualization workstations.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669762

    Funder
    Australian Research Council
    Funding Amount
    $147,900.00
    Summary
    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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    Funded Activity

    Discovery Projects - Grant ID: DP0559090

    Funder
    Australian Research Council
    Funding Amount
    $112,514.00
    Summary
    Investigation and development of robust rule discovery and classification system. This research focuses on a national research priority, namely smart information use. The expected outcomes of the project will greatly advance intelligent system design, such as automatic decision making, fault detection and problem diagnosis, for finance, medical, telecom and many other areas. It has great potential for commercialisation and earning incomes for the future research. The publications will benefit th .... Investigation and development of robust rule discovery and classification system. This research focuses on a national research priority, namely smart information use. The expected outcomes of the project will greatly advance intelligent system design, such as automatic decision making, fault detection and problem diagnosis, for finance, medical, telecom and many other areas. It has great potential for commercialisation and earning incomes for the future research. The publications will benefit the future development of intelligent systems for dealing with missing data. This project directly supports a PhD student and two research assistants who will most likely continue their higher degree study. These contribute to regional tertiary education.
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