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Scheme : Linkage Projects
Research Topic : Processor Modules
Australian State/Territory : NSW
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  • Funded Activity

    Linkage Projects - Grant ID: LP140100328

    Funder
    Australian Research Council
    Funding Amount
    $232,000.00
    Summary
    Rapid Recovery from Radiation-induced Errors in Reconfigurable Hardware. This project aims to develop new methods for implementing satellite-based digital systems using reconfigurable hardware devices. The results aim to extend knowledge on the design of fault-tolerant systems and enable the use of off-the-shelf digital hardware in the implementation of satellite systems. The project aims to develop essential tools to assist in implementing fault-tolerant reconfigurable systems. These tools will .... Rapid Recovery from Radiation-induced Errors in Reconfigurable Hardware. This project aims to develop new methods for implementing satellite-based digital systems using reconfigurable hardware devices. The results aim to extend knowledge on the design of fault-tolerant systems and enable the use of off-the-shelf digital hardware in the implementation of satellite systems. The project aims to develop essential tools to assist in implementing fault-tolerant reconfigurable systems. These tools will be founded on the discovery of techniques needed for modifying a design into a form amenable to error recovery and for implementing the design in hardware. During the course of the project, these techniques will be demonstrated and tested in-orbit on the international QB50 CubeSat program.
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    Funded Activity

    Linkage Projects - Grant ID: LP0234923

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    High-performance real-time OS framework for low-power applications. Wireless network adapters, as they are being developed by Cisco, will find widespread use in the near future, as they are the basis of all mobile or otherwise disconnected intelligent devices. These devices must process data very rapidly, yet operate with minimal power consumption. We will develop operating system kernels that will support the secure, efficient and protected execution of the core processing firmware, and provide .... High-performance real-time OS framework for low-power applications. Wireless network adapters, as they are being developed by Cisco, will find widespread use in the near future, as they are the basis of all mobile or otherwise disconnected intelligent devices. These devices must process data very rapidly, yet operate with minimal power consumption. We will develop operating system kernels that will support the secure, efficient and protected execution of the core processing firmware, and provide application frameworks for the controlling higher software layers. We will also investigate and design hardware mechanisms that support the software while keeping power consumption minimal.
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    Funded Activity

    Linkage Projects - Grant ID: LP130101034

    Funder
    Australian Research Council
    Funding Amount
    $200,000.00
    Summary
    Hardware-based accelerators for real-time machine learning. This project will tackle the challenge of applying real-time machine learning to massive high-frequency data. This project will leverage advancements in machine learning and hardware synthesis to implement computationally complex machine-learning algorithms on hardware-accelerated platforms, avoiding overhead delays incurred by software running on a processor.
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    Funded Activity

    Linkage Projects - Grant ID: LP0775196

    Funder
    Australian Research Council
    Funding Amount
    $253,000.00
    Summary
    Automated pathogen detection using time-gated luminescence microscopy. A rapid and general means of in-situ pathogen identification would benefit the community by ensuring that appropriate treatments can be applied in the early stages of a disease. Patient prognosis is thereby improved and opportunities for multi-drug resistant organisms to arise are limited. Time-gated luminescence microscopy (TgM) exploits persistent luminescence to overcome autofluorescence, a serious problem in pathogen dete .... Automated pathogen detection using time-gated luminescence microscopy. A rapid and general means of in-situ pathogen identification would benefit the community by ensuring that appropriate treatments can be applied in the early stages of a disease. Patient prognosis is thereby improved and opportunities for multi-drug resistant organisms to arise are limited. Time-gated luminescence microscopy (TgM) exploits persistent luminescence to overcome autofluorescence, a serious problem in pathogen detection. Drug-resistant 'Golden Staph' (MRSA) will be used as the model organism to evaluate TgM efficacy. Ultimately however, TgM will be applied for the detection of tuberculosis, a highly contagious disease affecting the respiratory system of more than one-third of the world's population.
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