A direct drive linear tube generator for ocean wave energy conversion. This project aims to investigate a direct drive linear electromagnetic generator system for the maximum wave energy conversion and frequency bandwidth. This system has a translator of a multiple degree of freedom non-linear oscillator system built with the Halbach ring array pattern and ferro-fluid bearings. To establish wave energy conversion science, this project will investigate the device, its integration with a buoy stru ....A direct drive linear tube generator for ocean wave energy conversion. This project aims to investigate a direct drive linear electromagnetic generator system for the maximum wave energy conversion and frequency bandwidth. This system has a translator of a multiple degree of freedom non-linear oscillator system built with the Halbach ring array pattern and ferro-fluid bearings. To establish wave energy conversion science, this project will investigate the device, its integration with a buoy structure under wave loadings and automatic control of power conversion and conditioning. The outcome could meet demands for wave energy conversion technologies that reduce power generation cost and emissions, benefiting the Australian economy and environment.Read moreRead less
Geological sequestration of carbon dioxide in deep saline aquifers: coupled flow-mechanical considerations. Deep saline aquifers have been routinely proposed as sites for long-term, large-scale storage of carbon dioxide (CO2) emissions, as an option to assist the abatement of global warming. This project investigates expected engineering behaviour of deep saline aquifer reservoirs and their stability following CO2 sequestration.
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
Statistical Methods For Identifying Structural Variation In Tumour Genomes Using Next Generation Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$243,458.00
Summary
New DNA sequencing technology can sequence a tumour genome affordably in 2 weeks. This re-sequencing data can be used to find small mutations and large-scale chromosomal rearrangements that together are the drivers of cancer. These may one day be used to guide cancer therapy. This project will develop new algorithms for finding mutations and apply these to discover the genetic basis of drug resistance in a model lymphoma system.
Improving battery safety with boron nitride nanotube separators. This project aims to improve the safety of lithium ion batteries by developing high –temperature, stable separators. The use of batteries in a hot Australian summer is a major safety issue for our society. This project will develop a new and safe battery technology with the help of boron nitride nanotubes to effectively reduce the risk of thermal runaway of battery cells. The expected outcomes will have a global impact on the safet ....Improving battery safety with boron nitride nanotube separators. This project aims to improve the safety of lithium ion batteries by developing high –temperature, stable separators. The use of batteries in a hot Australian summer is a major safety issue for our society. This project will develop a new and safe battery technology with the help of boron nitride nanotubes to effectively reduce the risk of thermal runaway of battery cells. The expected outcomes will have a global impact on the safety of the current battery technology and the innovative application of boron nitride nanotubes in battery technology. It will position industry on the cutting edge of battery technology required for energy storage development in Australia.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100098
Funder
Australian Research Council
Funding Amount
$230,000.00
Summary
A comprehensive gas/vapour sorption facility for the fast advancement of decarbonised energy technologies. Solutions to clean energy production, storage and use are critical to Australia’s prosperity, yet there is a significant lack of targeted research facilities for the development of the highly needed materials and technologies for powering a sustainable Australia. This facility will bring research efforts closer to practical solutions.
Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by co ....Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by collecting incremental face exemplars. The result of the research will be an algorithm that can improve its performance on-line adapting in a stable learning process each identity model to the correct facial examples.
The research has significant practical implication in visual surveillance increasing the robustness of identification of person identity, state and intent.
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Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enabl ....Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enable improved event detection and classification in noisy time series to the benefit of many critical application areas beyond national security.Read moreRead less
Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being ....Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being privacy preserving, providing new avenues for the production of novel, socially acceptable products for aged care monitoring. Our methods spearhead future advancement in diverse disciplines due to the wide applicability of the methods to other sensor networks (Square Kilometre Array) and data types, providing new frameworks for addressing crucial problems of data management. Read moreRead less
Non-Contact In-process Shape Measurement of Windscreens. Optical techniques have been widely used for non-contact measurement of the 3-D shape of diffusely reflecting surfaces. However, there is no evidence for the successful implementation of a real-time shape measurement system for large specular surfaces, despite the many important industrial applications. The aim of this project is to develop optically-based techniques to measure the shape of specular and transparent surfaces in real time in ....Non-Contact In-process Shape Measurement of Windscreens. Optical techniques have been widely used for non-contact measurement of the 3-D shape of diffusely reflecting surfaces. However, there is no evidence for the successful implementation of a real-time shape measurement system for large specular surfaces, despite the many important industrial applications. The aim of this project is to develop optically-based techniques to measure the shape of specular and transparent surfaces in real time in an industrial environment. The main outcome of the research will be a prototype on-line shape measurement system to control the quality of car windscreens.Read moreRead less