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Research Topic : Image processing
Socio-Economic Objective : Scientific instrumentation
Australian State/Territory : ACT
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  • Researchers (16)
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  • Funded Activity

    Federation Fellowships - Grant ID: FF0883668

    Funder
    Australian Research Council
    Funding Amount
    $2,131,730.00
    Summary
    Exploring the last frontier: cosmic reionization and the first galaxies. This program will help to position Australia as a leader in the development of the Square Kilometre Array, a 1.5 billion Euro radio telescope that Australia is vying to host. The program takes advantage of the uniquely radio quiet environment of Western Australia to achieve unprecedented measurements of the 'first light fossils' in the Universe, which reside in the portion of the radio spectrum that is filled by FM radio tr .... Exploring the last frontier: cosmic reionization and the first galaxies. This program will help to position Australia as a leader in the development of the Square Kilometre Array, a 1.5 billion Euro radio telescope that Australia is vying to host. The program takes advantage of the uniquely radio quiet environment of Western Australia to achieve unprecedented measurements of the 'first light fossils' in the Universe, which reside in the portion of the radio spectrum that is filled by FM radio transmissions in most parts of the planet. This ground-breaking research program will provide training for the next generation of world-class scientists and add to the already high profile of Australian astrophysics.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0991969

    Funder
    Australian Research Council
    Funding Amount
    $686,400.00
    Summary
    Advanced Interface Technologies for Computational Science & Simulation. The project will research novel computer vision technologies that enable the next generation of visualisation portals for scientific collaboration. The development of new computer vision tools is key to truly natural human-machine interaction. The research outcomes of this project directly align with National Research Priority 3: Frontier Technologies. It supports four of the five relevant priority goals - Breakthrough Scien .... Advanced Interface Technologies for Computational Science & Simulation. The project will research novel computer vision technologies that enable the next generation of visualisation portals for scientific collaboration. The development of new computer vision tools is key to truly natural human-machine interaction. The research outcomes of this project directly align with National Research Priority 3: Frontier Technologies. It supports four of the five relevant priority goals - Breakthrough Science, Frontier Technologies, Smart Information Use, and Promoting an Innovation Culture and Economy. Outcomes of this research are also relevant to Research Priority 4: Safeguarding Australia, and has direct applications to video surveillance technology. Significant commercial opportunities, including licensing and spin-offs exist.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451960

    Funder
    Australian Research Council
    Funding Amount
    $195,000.00
    Summary
    High-performance computational data-mining techniques for feature detection in complex time series from large-scale, networked plasma experiments. Terabytes of data are gathered from large experimental facilities as complex time-series. Analysis of these data is daunting, especially when they involve high-dimensional spectral or image arrays. We will develop high-performance computational techniques for dimension reduction, efficient data-mining, and experimental control, using as an initial ta .... High-performance computational data-mining techniques for feature detection in complex time series from large-scale, networked plasma experiments. Terabytes of data are gathered from large experimental facilities as complex time-series. Analysis of these data is daunting, especially when they involve high-dimensional spectral or image arrays. We will develop high-performance computational techniques for dimension reduction, efficient data-mining, and experimental control, using as an initial target the H-1NF plasma fusion MNRF at the ANU and its >100 GB/year data stream. The techniques will immediately provide Australian researchers with unique tools for collaboration in international research to develop fusion as a low-emissions source of electricity, and will be applicable to complex time-series analysis in other areas of science, medicine, and defence.
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