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Field of Research : Pattern Recognition
Field of Research : Simulation And Modelling
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  • Researchers (17)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0349046

    Funder
    Australian Research Council
    Funding Amount
    $209,139.00
    Summary
    Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techn .... Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.
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    Funded Activity

    Linkage Projects - Grant ID: LP0774944

    Funder
    Australian Research Council
    Funding Amount
    $480,000.00
    Summary
    Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce si .... Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce significant economic and social benefits for Australia across a wide range of service industries. The project will also generate export opportunities for information technology services and products in health care and other service industries. In addition, it will drive collaboration with leading global businesses, providing new paths to market for Australian research, technologies and innovations.
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    Funded Activity

    Discovery Projects - Grant ID: DP0560207

    Funder
    Australian Research Council
    Funding Amount
    $232,000.00
    Summary
    Teaching Software Agents to Play. This project is fundamental to computational intelligence and human brain science. Both strongly impact on the community and the nation. They form the backbone of contemporary information science and are key to our National Research Priorities. This research is of great community benefit. Our results will enable everyone to rapidly search, analyse and interpret vast amounts of information that is irretrievable by current methods. They will also enliven interacti .... Teaching Software Agents to Play. This project is fundamental to computational intelligence and human brain science. Both strongly impact on the community and the nation. They form the backbone of contemporary information science and are key to our National Research Priorities. This research is of great community benefit. Our results will enable everyone to rapidly search, analyse and interpret vast amounts of information that is irretrievable by current methods. They will also enliven interactive entertainment by spontaneously creating unique, tailor-made music. In sum, we are making a leap forward in the crucial area of collaborative intelligence.
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    Funded Activity

    Discovery Projects - Grant ID: DP0771183

    Funder
    Australian Research Council
    Funding Amount
    $249,000.00
    Summary
    Computational techniques for protease research. Protease research is an area of intensive research in Australia. Correctly assessing the mechanisms of protease function is crucial not only for improving our health through medical research and drug development, but also to multiple national areas of research and development, including biotechnology, agriculture, and industries such as the dairy industry. This project will develop innovative computational techniques to advance understanding of h .... Computational techniques for protease research. Protease research is an area of intensive research in Australia. Correctly assessing the mechanisms of protease function is crucial not only for improving our health through medical research and drug development, but also to multiple national areas of research and development, including biotechnology, agriculture, and industries such as the dairy industry. This project will develop innovative computational techniques to advance understanding of how proteases function by redressing a common research assumption that can significantly affect the accuracy of protease function prediction. The outcomes will improve fundamental research into proteases, and enable improved research and development in the many fields that rely on protease work.
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    Funded Activity

    Discovery Projects - Grant ID: DP1096699

    Funder
    Australian Research Council
    Funding Amount
    $185,000.00
    Summary
    Understanding cortical processing: Neuronal activity and learning in recurrently connected networks. This project addresses fundamental cross-disciplinary issues of information processing and control in large-scale biological neural systems. This is an area of research that is at the cutting edge of intelligent processing systems. An understanding of these mechanisms would have considerable implications in areas that span a range of complex biological and artificial neural systems, including the .... Understanding cortical processing: Neuronal activity and learning in recurrently connected networks. This project addresses fundamental cross-disciplinary issues of information processing and control in large-scale biological neural systems. This is an area of research that is at the cutting edge of intelligent processing systems. An understanding of these mechanisms would have considerable implications in areas that span a range of complex biological and artificial neural systems, including the rapidly growing fields of robotics, machine learning, and adaptive control, all with applications in diverse areas of economic importance. The project will provide students with training at an international level within Australia, thus helping ensure Australia maintains and extends its science and technology base.
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