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Australian State/Territory : TAS
Research Topic : intelligence
Status : Closed
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  • Funded Activity

    Discovery Projects - Grant ID: DP1096499

    Funder
    Australian Research Council
    Funding Amount
    $310,000.00
    Summary
    A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhance .... A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhanced technology. In turn Australian companies using the technology will improve their competitiveness in an increasingly knowledge-based economy by being able to more rapidly and easily deploy knowledge-based systems. Our previous techniques have already had a significant impact in medical practice.
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    Funded Activity

    Discovery Projects - Grant ID: DP130101327

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775760

    Funder
    Australian Research Council
    Funding Amount
    $101,967.00
    Summary
    Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and .... Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and GIS technologies which will have many community benefits through better management of water resources, land degradation, wetlands, cultural knowledge and sustainable use of Australian biodiversity. The infrastructure will also assist in the training of new researchers within this developing field.
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    Funded Activity

    Super Science Fellowships - Grant ID: FS100100043

    Funder
    Australian Research Council
    Funding Amount
    $278,400.00
    Summary
    Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching f .... Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching for ecological patterns on a national scale that would be difficult to identify using traditional approaches tuned to process-scale studies. Australian society stands to benefit by virtue of improved large-scale models of ecosystem function and reduced cost for conducting marine ecosystem investigations.
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    Showing 1-4 of 4 Funded Activites

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