ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relat ....ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relating to critical infrastructure. World-leaders with extensive national and international linkages in relevant scientific, engineering and technological research will lead this collaboration. The RNSA will launch various activities to foster research collaboration and nurture young investigators.Read moreRead less
Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result giv ....Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result given the input data in a short amount of time. The expected outcomes would support the construction of reliable and accurate computer vision-based systems, such as large-scale 3-D reconstruction from photo collections, self-driving cars and domestic robots.Read moreRead less
Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material fail ....Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material failure associated with the high impact forces. Expected outcomes of the project include a conceptual framework and scientific-based design tool to predict the geotechnical performance of offshore installations. The research will provide the necessary scientific advances to install, moor and service offshore wind and wave energy devices more economically and efficiently.Read moreRead less
A novel foundation to extend the operation of mobile structures into deeper water. Oil and gas is a key industry in Australia, contributing A$17 billion to the economy. However, with the large accessible reserves in shallower waters becoming exhausted, Australian oil and gas companies require new technologies to extend their capabilities. The research in this proposal addresses this concern, providing an extension of the operational depth range of mobile jack-up platforms from 120 to 200 m. This ....A novel foundation to extend the operation of mobile structures into deeper water. Oil and gas is a key industry in Australia, contributing A$17 billion to the economy. However, with the large accessible reserves in shallower waters becoming exhausted, Australian oil and gas companies require new technologies to extend their capabilities. The research in this proposal addresses this concern, providing an extension of the operational depth range of mobile jack-up platforms from 120 to 200 m. This creates the opportunity to develop the significant number of Australia's smaller gas fields that are currently uneconomical to exploit. The proposed project will contribute to the future competitiveness of Australia's oil and gas industry and ensuring energy supply for the sustained growth of the Australian economy.Read moreRead less
Better predictions of spray flames. This project aims to predict spray flames using experimental and computational modelling of the combustion near burning droplets in spray flames. Spray flames are the dominant source of energy for the transportation sector, and are expected to remain so well into the future. Limited understanding of combustion processes surrounding the burning of the droplets restricts further technological development. This project is expected to enable progress in design too ....Better predictions of spray flames. This project aims to predict spray flames using experimental and computational modelling of the combustion near burning droplets in spray flames. Spray flames are the dominant source of energy for the transportation sector, and are expected to remain so well into the future. Limited understanding of combustion processes surrounding the burning of the droplets restricts further technological development. This project is expected to enable progress in design tools for spray flame combustors operating on liquid fuels, including bio-fuels. The result will be lower pollutant emissions and lower the cost of design of new engines.Read moreRead less
Predicting the foundation performance of offshore jack-up drilling rigs in intermediate soils. The research outcomes will be a major step forward in creating safer operations of mobile platforms in our challenging seabed conditions. The new models and guidelines will assist engineers in the efficient expansion of our offshore oil and gas industry, with significant increased investment projected over the next five years.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100058
Funder
Australian Research Council
Funding Amount
$560,000.00
Summary
Three dimensionally compressed and monitored Hopkinson bar . 3D compressed and monitored Hopkinson bar: The 3D compressed and monitored Hopkinson bar allows determination of the dynamic mechanical properties and fracturing behaviour of materials under such confinement. Understanding material behaviour under dynamic loading is essential in dealing with many engineering problems as excavation, fragmentation, earthquake, blasting, and structure design. In geotechnical and structure projects, materi ....Three dimensionally compressed and monitored Hopkinson bar . 3D compressed and monitored Hopkinson bar: The 3D compressed and monitored Hopkinson bar allows determination of the dynamic mechanical properties and fracturing behaviour of materials under such confinement. Understanding material behaviour under dynamic loading is essential in dealing with many engineering problems as excavation, fragmentation, earthquake, blasting, and structure design. In geotechnical and structure projects, materials are often subjected to existing confining stresses. The full-field optical techniques, with an ultra-high speed and resolution camera in the system, aims to assist the quantitative measurement of deformation fields including small strain induced in brittle material's failure and identification of constitutive parameters.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989675
Funder
Australian Research Council
Funding Amount
$180,000.00
Summary
Interface-specific facility for quantifying adsorption and structures at particulate interfaces. The facility will be used by the collaborating universities to investigate adsorption and interface properties with great precision, and to develop new and improved technologies for coal and mineral processing, saline water utilisation, water desalination, energy production and environment protection. In particular, the project will investigate innovative ways of using ion-interface interactions in ....Interface-specific facility for quantifying adsorption and structures at particulate interfaces. The facility will be used by the collaborating universities to investigate adsorption and interface properties with great precision, and to develop new and improved technologies for coal and mineral processing, saline water utilisation, water desalination, energy production and environment protection. In particular, the project will investigate innovative ways of using ion-interface interactions in saline water for cleaning coal and recovering value minerals by flotation, and for improving dissolved air flotation used in water treatment and desalination to produce drinking water. The project will further investigate novel ways of capturing CO2, storing natural gases and hydrogen, and tailoring nutrient nano-crystals for foliar delivery.Read moreRead less