Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilitie ....The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilities. The expected outcomes will enable the integration of automated controls in ships, including remote-control capabilities. This will support Australia’s transition towards an autonomous shipping industry, delivering greater reliability, efficiency, productivity and safety.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100094
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Development of a world-class facility for three dimensional dynamic testing. Development of a world-class facility for three dimensional dynamic testing: This project aims to establish a world-class facility for multi-directional dynamic testing. Currently there are no such facilities in Australia. The ability to recreate dynamic motion in all available degrees-of-freedom opens up enormous fields of research not currently possible in Australia. This includes such areas as vibration testing, mate ....Development of a world-class facility for three dimensional dynamic testing. Development of a world-class facility for three dimensional dynamic testing: This project aims to establish a world-class facility for multi-directional dynamic testing. Currently there are no such facilities in Australia. The ability to recreate dynamic motion in all available degrees-of-freedom opens up enormous fields of research not currently possible in Australia. This includes such areas as vibration testing, materials testing, biomechanics and human factors, blast and earthquake simulations, field robotics, automotive safety research, flight/vehicle simulation, and marine applications including sloshing of liquids and liquefaction of fines. In conjunction with a 3D laser doppler system this facility will be unique in the world for dynamic mechanical testing.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100048
Funder
Australian Research Council
Funding Amount
$466,097.00
Summary
Ammonium-selective membranes to shift water industry into circular economy. The project aims to develop ammonium-selective membranes which are urgently needed in Australian key industries for sustainable ammonia recovery. The project expects to construct the membranes to achieve desirable pore size and surface functionality for fast and selective ammonia transport. The developed membranes should make ammonia recovery from wastewater more effective and sustainable, leading to the healthy waterway ....Ammonium-selective membranes to shift water industry into circular economy. The project aims to develop ammonium-selective membranes which are urgently needed in Australian key industries for sustainable ammonia recovery. The project expects to construct the membranes to achieve desirable pore size and surface functionality for fast and selective ammonia transport. The developed membranes should make ammonia recovery from wastewater more effective and sustainable, leading to the healthy waterway and reduced energy for both ammonia production and removal. Recovered ammonia expects to produce valuable products, supporting agriculture industry and hydrogen economy. The developed membranes should enable water industry's shift into circular economy, providing significant economic and environmental benefits to Australia.Read moreRead less
A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological respon ....A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological response from the nasal mucosa. The aim is to overcome a key fabrication challenge - to 3D print an anatomically accurate nasal construct with a porous wall on which to grow and mature functional nasal tissue that lines a nasal cavity wall. The benefit would be enabling faster development of more targeted drugs and vaccines.Read moreRead less
Investigation into flow over complex topography and escarpments for wind turbine siting using experimental and computational methods. This project will improve national capability to optimise power production from wind turbine farms in complex terrain by improving the understanding of the flow regime. By better understanding separated regions and the turbulent structures within these regions power production can be optimised and fatigue risks associated with turbine positioning in complex sites ....Investigation into flow over complex topography and escarpments for wind turbine siting using experimental and computational methods. This project will improve national capability to optimise power production from wind turbine farms in complex terrain by improving the understanding of the flow regime. By better understanding separated regions and the turbulent structures within these regions power production can be optimised and fatigue risks associated with turbine positioning in complex sites can be reduced. This will improve confidence in wind farm site assessment techniques and consequently reduce economic risks associated with current wind farm viability assessments. By increasing national capacity to generate clean energy stationary energy emissions can be reduced. This project will also deliver high calibre graduates that will be potential future industry leaders.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less