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Scheme : Linkage Projects
Research Topic : pattern recognition
Australian State/Territory : SA
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP160100387

    Funder
    Australian Research Council
    Funding Amount
    $252,000.00
    Summary
    Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b .... Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.
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    Funded Activity

    Linkage Projects - Grant ID: LP120200485

    Funder
    Australian Research Council
    Funding Amount
    $510,000.00
    Summary
    Scalable classification for massive datasets: randomised algorithms. The project will develop multi-class classification technologies capable of distinguishing between tens of thousands of classes, which are trained and applied to massive datasets. The technology will be applied in the field of microbiology, bringing high quality digital imaging and machine learning to this important area.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100860

    Funder
    Australian Research Council
    Funding Amount
    $340,000.00
    Summary
    Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected .... Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected to benefit the Australian construction industry as well as building operators, giving them a valuable export commodity. It intends also to benefit inhabitants of the buildings by providing a more safe, secure and accommodating environment.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210300584

    Funder
    Australian Research Council
    Funding Amount
    $875,432.00
    Summary
    Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa .... Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.
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    Funded Activity

    Linkage Projects - Grant ID: LP110100166

    Funder
    Australian Research Council
    Funding Amount
    $163,332.00
    Summary
    Techniques for active conceptual modelling and guided data mining for rapid knowledge discovery. Quick, accurate responses to rapidly evolving phenomena are essential. This project will develop a platform able to accept data from a variety of sources in advance of the full definition of the associated conceptual model. The project will facilitate rapid querying and direct manipulation of the mining process allowing fast, user-oriented results.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100138

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Improving the face of cosmetic medicine - an automatic three-dimensional facial analysis system for facial rejuvenation. 'How will I look?' is the most common question to cosmetic doctors from patients considering facial rejuvenation. This project will answer this question for the first time by providing patients with a three-dimensional model of their post-treatment face as well as informing cosmetic doctors exactly how to achieve the patient's desired face.
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    Showing 1-6 of 6 Funded Activites

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