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Field of Research : Analysis Of Algorithms And Complexity
Scheme : Linkage - International
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Analysis Of Algorithms And Complexity (3)
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  • Funded Activity

    Linkage - International - Grant ID: LX0454434

    Funder
    Australian Research Council
    Funding Amount
    $45,000.00
    Summary
    Sequence Data Analysis. Sequence data analysis is about extracting information included in sequences of data in which the order of sequence matters. The project aims to work with two well known research groups in Germany with complimentary expertise to support two applications in this area: analysis of biological sequence data and detection and classification of sequence images, both with a very high significance to research and industry. It is planned to investigate on the diversity and the com .... Sequence Data Analysis. Sequence data analysis is about extracting information included in sequences of data in which the order of sequence matters. The project aims to work with two well known research groups in Germany with complimentary expertise to support two applications in this area: analysis of biological sequence data and detection and classification of sequence images, both with a very high significance to research and industry. It is planned to investigate on the diversity and the commonality in both applications leading to better and faster algorithms and their hardware implementations. It is expected to train high quality postgraduates and postdoctoral fellows at Melbourne and the host institutions.
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    Funded Activity

    Linkage - International - Grant ID: LX0242359

    Funder
    Australian Research Council
    Funding Amount
    $11,000.00
    Summary
    Expressive power and complexity of temporal logics for model-checking. Hardware verification based upon mathematical logic is now routinely used in industry to verify the correctness of large digital circuits using a technique called model-checking. Such discrete systems move from one state to another according to the regular ticks of a clock. The challenge now is to find tractable methods for reasoning about real-time systems and hybrid systems that move in a continuous manner with respec .... Expressive power and complexity of temporal logics for model-checking. Hardware verification based upon mathematical logic is now routinely used in industry to verify the correctness of large digital circuits using a technique called model-checking. Such discrete systems move from one state to another according to the regular ticks of a clock. The challenge now is to find tractable methods for reasoning about real-time systems and hybrid systems that move in a continuous manner with respect to time: examples include aeroplanes flying according to the laws of physics and a moving robot arm. We shall invent new logics which are specifically tailored for tractable reasoning about real-time and hybrid systems.
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    Funded Activity

    Linkage - International - Grant ID: LX0346639

    Funder
    Australian Research Council
    Funding Amount
    $32,500.00
    Summary
    Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace de .... Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace determination to characterise their computational efficiency, accuracy and effectiveness in various data scenarios. The analysis will lead to improved designs for eigenvalue/eigenspace algorithms, as well as design tools to engineer algorithms to specific situations.
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