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Scheme : Linkage Projects
Research Topic : Image processing
Australian State/Territory : ACT
Australian State/Territory : SA
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  • Funded Activity

    Linkage Projects - Grant ID: LP160100495

    Funder
    Australian Research Council
    Funding Amount
    $275,000.00
    Summary
    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.
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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

    Linkage Projects - Grant ID: LP150100037

    Funder
    Australian Research Council
    Funding Amount
    $169,168.00
    Summary
    New Technologies for Second Generation Search and Rescue. This project aims to improve the Cospas-Sarsat search and rescue system to ensure faster, more reliable, more accurate, and more cost-effective search and rescue operations, ultimately saving lives. The satellite-based Cospas-Sarsat system has assisted with the emergency rescue of more than 35 000 lives worldwide since its introduction in 1982. A second generation of this system is currently under development, promising to significantly i .... New Technologies for Second Generation Search and Rescue. This project aims to improve the Cospas-Sarsat search and rescue system to ensure faster, more reliable, more accurate, and more cost-effective search and rescue operations, ultimately saving lives. The satellite-based Cospas-Sarsat system has assisted with the emergency rescue of more than 35 000 lives worldwide since its introduction in 1982. A second generation of this system is currently under development, promising to significantly improve detection rate and localisation accuracy. However, in an emergency, the system’s performance is often compromised due to interference and atmospheric effects, leading to false detections that waste valuable resources. This project aims to develop novel techniques to improve this performance.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP190100140

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application .... Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.
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    Showing 1-4 of 4 Funded Activites

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