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Research Topic : Energy-efficient computing
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  • Funded Activity

    Linkage Projects - Grant ID: LP160100211

    Funder
    Australian Research Council
    Funding Amount
    $362,000.00
    Summary
    Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro .... Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE150100278

    Funder
    Australian Research Council
    Funding Amount
    $370,000.00
    Summary
    Automating the smart home: an investigation of automated cooling practices. Home automation technologies are expected to achieve reductions in household energy costs and consumption. However, there has been no systematic investigation of the ways in which they are being incorporated into everyday life. The project aims to address this critical gap in relation to home cooling. It will investigate how automated cooling technologies are being incorporated into household practices in Australia, and .... Automating the smart home: an investigation of automated cooling practices. Home automation technologies are expected to achieve reductions in household energy costs and consumption. However, there has been no systematic investigation of the ways in which they are being incorporated into everyday life. The project aims to address this critical gap in relation to home cooling. It will investigate how automated cooling technologies are being incorporated into household practices in Australia, and the expectations they promote, sustain and transform. The project also aims to produce important new knowledge about how to study and understand the effects of ambient and automated technologies in everyday life and their potential impact on energy consumption.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP170100985

    Funder
    Australian Research Council
    Funding Amount
    $711,000.00
    Summary
    Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a .... Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.
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