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Research Topic : data analysis
Socio-Economic Objective : Combined operations
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP0985063

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    Network Management in a World of Secrets. The aim of this proposal is to provide world leading measurement and management techniques for the Internet and other telecommunications networks. In particular, the methods will improve privacy of network participants (customers and providers) while simultaneously improving network performance. Additionally, the project will create expertise in an area of great future interest -- privacy preserving computation -- expertise that can be transferred to stu .... Network Management in a World of Secrets. The aim of this proposal is to provide world leading measurement and management techniques for the Internet and other telecommunications networks. In particular, the methods will improve privacy of network participants (customers and providers) while simultaneously improving network performance. Additionally, the project will create expertise in an area of great future interest -- privacy preserving computation -- expertise that can be transferred to students and the next generation of innovators. Apart from these benefits, the research will provide exposure of Australian research strength in an area of world-wide public interest. Results concerning Internet reliability are of particularly high impact.
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    Funded Activity

    Linkage Projects - Grant ID: LP0226593

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    Adaptive Modulation For OFDM Signals. The sub band Signal To Noise Ratio in an OFDM communications channel varies by as much as 30 dB. In order to optimise the bandwidth efficiency of OFDM signalling it is desirable to adapt the chosen modulation technique such as M-ary QAM to the SNR available in sub bands. In this way high quality channels transmit the highest bit rates, whilst low quality channels accommodate the lowest bit rates. The net result is that the capacity of the communications link .... Adaptive Modulation For OFDM Signals. The sub band Signal To Noise Ratio in an OFDM communications channel varies by as much as 30 dB. In order to optimise the bandwidth efficiency of OFDM signalling it is desirable to adapt the chosen modulation technique such as M-ary QAM to the SNR available in sub bands. In this way high quality channels transmit the highest bit rates, whilst low quality channels accommodate the lowest bit rates. The net result is that the capacity of the communications link does not have to be limited by designing for worst case conditions.
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    Funded Activity

    Linkage Projects - Grant ID: LP0216266

    Funder
    Australian Research Council
    Funding Amount
    $135,270.00
    Summary
    Optimal Waveform Design and Compensation Techniques for Non Linear Communication Channels. Distortion effects in satellite amplifiers have a serious impact upon communication system performance, for example, by increasing the error rates. The research study we are proposing involves analysing these distortion causing non linear effects and designing techniques to compensate for them. Although we are initially interested in the nonlinear satellite channel, we intend the results to be extended t .... Optimal Waveform Design and Compensation Techniques for Non Linear Communication Channels. Distortion effects in satellite amplifiers have a serious impact upon communication system performance, for example, by increasing the error rates. The research study we are proposing involves analysing these distortion causing non linear effects and designing techniques to compensate for them. Although we are initially interested in the nonlinear satellite channel, we intend the results to be extended to other difficult nonlinear channels such as will be present in future 3G and 4G mobile communication systems. The proposed research will place Australia at the forefront of cutting edge Information Technology and Communications research.
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    Funded Activity

    Discovery Projects - Grant ID: DP0880928

    Funder
    Australian Research Council
    Funding Amount
    $155,000.00
    Summary
    Aggregating Generalised Stochastic Petri Nets for improved Performance Analysis. Australia's economy is very dependent on the operation of complex man-made systems. Important examples are telecommunication networks and services (e.g. the Internet), manufacturing plants, organisational processes, military logistics and transport systems (e.g. air traffic control). The performance of these systems is critical to their success. Thus being able to predict performance before systems are implemented i .... Aggregating Generalised Stochastic Petri Nets for improved Performance Analysis. Australia's economy is very dependent on the operation of complex man-made systems. Important examples are telecommunication networks and services (e.g. the Internet), manufacturing plants, organisational processes, military logistics and transport systems (e.g. air traffic control). The performance of these systems is critical to their success. Thus being able to predict performance before systems are implemented is very important in their design. This project will develop leading-edge performance analysis techniques and tools for an important class of practical systems. There is potential to commercialise the resulting tools and methodology and to transfer the expertise to industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343028

    Funder
    Australian Research Council
    Funding Amount
    $172,536.00
    Summary
    New Analytical Perspectives on the Algorithmic Complexity of the Hamiltonian Cycle Problem. Hamiltonian Cycle Problem (HCP), known - in the complexity theory of algorithms -to be NP-hard is proposed for study, from three innovative, separate (yet related) analytical perspectives: singularly perturbed (controlled) Markov chains, that links the HCP with systems and control theories; parametric nonconvex optimization, that links HCP with fast interior point methods of modern optimization an .... New Analytical Perspectives on the Algorithmic Complexity of the Hamiltonian Cycle Problem. Hamiltonian Cycle Problem (HCP), known - in the complexity theory of algorithms -to be NP-hard is proposed for study, from three innovative, separate (yet related) analytical perspectives: singularly perturbed (controlled) Markov chains, that links the HCP with systems and control theories; parametric nonconvex optimization, that links HCP with fast interior point methods of modern optimization and the spectral approach based on a novel adaptation of Ihara-Selberg trace formula for regular graphs. Our mathematical approach to this archetypal complex problem of graph theory and discrete optimization promises to enhance the fundamental understanding - and ultimate "managibility" - of the underlying difficulty of HCP.
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