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Field of Research : Electrical Engineering
Research Topic : Computer Graphics
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP0451476

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Virtual acoustic sensors for active noise control systems. Traditional active noise control systems achieve the greatest noise reduction at the microphone error sensor(s). It is often desirable to achieve the maximum noise reduction remote from such sensors. Virtual sensing technology, the focus of this application, has the promise to replace traditional microphone sensing by projecting the zone of quiet away from the sensor microphones and directly into the ear of the user of the active noise c .... Virtual acoustic sensors for active noise control systems. Traditional active noise control systems achieve the greatest noise reduction at the microphone error sensor(s). It is often desirable to achieve the maximum noise reduction remote from such sensors. Virtual sensing technology, the focus of this application, has the promise to replace traditional microphone sensing by projecting the zone of quiet away from the sensor microphones and directly into the ear of the user of the active noise control system. This will revolutionise the sensing used in active noise control systems, and in doing so allow the realisation of active noise control in applications that have previously been infeasible.
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    Funded Activity

    Linkage Projects - Grant ID: LP0990847

    Funder
    Australian Research Council
    Funding Amount
    $156,840.00
    Summary
    Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract. The proposed capsule will provide a solution to the problem of accessing the small intestine for targeted delivery of biomarkers and drugs, and contribute to translational medical research to enhance our understanding of the function of the gut. Successful completion of this project will build on defined priority areas of research strength in Australia (frontier technologies, smart information u .... Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract. The proposed capsule will provide a solution to the problem of accessing the small intestine for targeted delivery of biomarkers and drugs, and contribute to translational medical research to enhance our understanding of the function of the gut. Successful completion of this project will build on defined priority areas of research strength in Australia (frontier technologies, smart information use) and assist in the provision of information critical to the design of novel in vivo endofunctional devices. The technologies to be developed in this project will be translatable to the development of other in vivo functional investigation and treatment devices.
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    Funded Activity

    Linkage Projects - Grant ID: LP0453951

    Funder
    Australian Research Council
    Funding Amount
    $174,735.00
    Summary
    Integrated On-line Condition Monitoring and Failure Diagnosis in Induction Motors. Electric motors are widely used in industry. Traditional maintenance approaches have involved regular overhauls/inspections and replacement after a fixed period. On-line condition monitoring involves taking non-invasive measurements to determine the motor's "health" and only scheduling maintenance when required. The benefits are reduced unexpected failures and reduced maintenance costs due to the greater maintena .... Integrated On-line Condition Monitoring and Failure Diagnosis in Induction Motors. Electric motors are widely used in industry. Traditional maintenance approaches have involved regular overhauls/inspections and replacement after a fixed period. On-line condition monitoring involves taking non-invasive measurements to determine the motor's "health" and only scheduling maintenance when required. The benefits are reduced unexpected failures and reduced maintenance costs due to the greater maintenance intervals. The majority of existing work on condition monitoring has looked at using a single sensor type (eg. vibration) for fault prediction. The proposed work seeks to improve the reliability and accuracy of fault diagnosis by correlating information from multiple sensor types, which can be accessed remotely.
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