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  • Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775668

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Direct write - microphotonics fabrication facility. Direct write-microfabrication, where an ultrafast laser is focussed to a small, intense spot and translated under computer control with respect to a target sample, has emerged as a significant enabling technology creating new opportunities in microphotonics. The proposed facility will enable researchers to modify the internal properties of glass blocks and write 'optical wires' (or waveguides). By combining waveguides with other laser written f .... Direct write - microphotonics fabrication facility. Direct write-microfabrication, where an ultrafast laser is focussed to a small, intense spot and translated under computer control with respect to a target sample, has emerged as a significant enabling technology creating new opportunities in microphotonics. The proposed facility will enable researchers to modify the internal properties of glass blocks and write 'optical wires' (or waveguides). By combining waveguides with other laser written functional components researchers will develop devices capable of processing optical information. Outcomes will include demonstrations of compact lasers and slow light generation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211849

    Funder
    Australian Research Council
    Funding Amount
    $159,000.00
    Summary
    Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a la .... Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a large proportion of missing observations. This will contribute to a conceptual advancement in the field of signal processing and will provide new methods for use in applications such as radar, astrophysics, seismology, vibration analysis and communications.
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    Funded Activity

    Linkage Projects - Grant ID: LP0454322

    Funder
    Australian Research Council
    Funding Amount
    $200,000.00
    Summary
    Virtual Innovation Clusters: the Grid and Customer Relationship Management. Innovation Clusters are seen as geographically based and focussed on product development. Recent studies however indicate that technical innovation in geographic clusters is lower than geographically dispersed companies, and that their competitiveness arises from innovations in tailoring products and marketing. The emergence of the ?Grid? enhances the capabilities of ?Virtual? Clusters. Through installation of a Grid Por .... Virtual Innovation Clusters: the Grid and Customer Relationship Management. Innovation Clusters are seen as geographically based and focussed on product development. Recent studies however indicate that technical innovation in geographic clusters is lower than geographically dispersed companies, and that their competitiveness arises from innovations in tailoring products and marketing. The emergence of the ?Grid? enhances the capabilities of ?Virtual? Clusters. Through installation of a Grid Portal and Grid-enabling analysis tools, we export the capabilities of a geographical cluster around Europe's leading computational facility and contrast this with a Virtual Cluster in Australia, where we demonstrate an innovative application of High-Performance Computing to modelling consumer behaviour and managing customer relations.
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