Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668294
Funder
Australian Research Council
Funding Amount
$110,000.00
Summary
Isotope Ratio Mass Spectrometry Facility for Nitrogen and Water Analysis in Plants. Continual improvement to agricultural plant production is key to maintaining future sustainable growth in Australian agriculture. Our respective research teams are focussed on improving how plants utilise both nitrogen and water. Many questions remain with respect to where, how and when plants use and or access these important nutrients. The proposed facility will enable plant scientists to begin in-depth anal ....Isotope Ratio Mass Spectrometry Facility for Nitrogen and Water Analysis in Plants. Continual improvement to agricultural plant production is key to maintaining future sustainable growth in Australian agriculture. Our respective research teams are focussed on improving how plants utilise both nitrogen and water. Many questions remain with respect to where, how and when plants use and or access these important nutrients. The proposed facility will enable plant scientists to begin in-depth analysis of both nitrogen transport mechanisms and the ability to model root development and water allocation in crop species. This research will ultimately lead to improved knowledge on how plants respond to their environment and where modifications can be made to generate sustainable crops suited to Australian agriculture.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100175
Funder
Australian Research Council
Funding Amount
$475,000.00
Summary
A high-payload, high-fidelity haptically-enabled motion simulation facility. An Australian-first motion simulation facility consisting of a high-payload, high-fidelity Stewart platform mounted on a dual-axis linear track is proposed. The facility will allow high acceleration and high vibration manoeuvres, and large displacements through an eight-degrees-of-freedom range of motion. It can carry the entire control compartment of a heavy vehicle, a truck, an ambulance, a train, or a multi-operator ....A high-payload, high-fidelity haptically-enabled motion simulation facility. An Australian-first motion simulation facility consisting of a high-payload, high-fidelity Stewart platform mounted on a dual-axis linear track is proposed. The facility will allow high acceleration and high vibration manoeuvres, and large displacements through an eight-degrees-of-freedom range of motion. It can carry the entire control compartment of a heavy vehicle, a truck, an ambulance, a train, or a multi-operator cockpit of a mining vehicle for simulation. The outcome will provide significant benefits for virtual vehicle prototyping and testing, driver training and behaviour modelling, motion perception and motion sickness research; therefore advancing Australia as the global leader in motion simulation and vehicular technologies.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100079
Funder
Australian Research Council
Funding Amount
$320,000.00
Summary
A haptic-based immersive motion platform for human performance evaluation. A haptic-based immersive motion platform for human performance evaluation: This project aims to establish a motion platform capable of combining continuous centrifugal rotation and large linear displacement with an additional five degrees of motion. The system will house a human subject at the end of a large serial robot similar to a human arm, which can rotate continuously about its base. The robot arm will be installed ....A haptic-based immersive motion platform for human performance evaluation. A haptic-based immersive motion platform for human performance evaluation: This project aims to establish a motion platform capable of combining continuous centrifugal rotation and large linear displacement with an additional five degrees of motion. The system will house a human subject at the end of a large serial robot similar to a human arm, which can rotate continuously about its base. The robot arm will be installed on a large linear axis enabling the simulation of movements and accelerations along a straight path as well as rotation provided by other axes of the robot. The motion platform will comprise audio and visual devices, and haptic-based control mechanisms, for example a steering wheel and pedals or a helicopter cyclic, to provide a number of human immersed scenarios for driving/flying training and human perception evaluation.Read moreRead less
Special Research Initiatives - Grant ID: SR0354908
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outco ....The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outcomes and solutions to problems in agriculture, horticulture, forestry and protection of Australia's native flora. Researchers are struggling to create these links, constrained by disciplinary boundaries and geographical isolation. Key industries and researchers already support this proposal.Read moreRead less
Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safe ....Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safety view points, that a way be found to ensure reliable and viable operation of complex plants. A first step in achieving this goal is to detect faults on-line and in real-time when they occur and identify their location and characteristics, which is the aim of this project.Read moreRead less
Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift ....Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift drivers, crane operators and crews are under pressure to move faster. The need for higher speed and the enormous human and financial cost of unsafe operations create opportunities for the deployment of intelligent safety devices. The expected outcomes of this project are safer public industrial environments, reductions in work related injuries, injury compensation costs and associated societal burdens.Read moreRead less
Intelligent collision avoidance system for mobile industrial platforms. This project will develop a collision prevention system for mobile industrial platforms that enhances existing artificial vision perception systems to mimic human eye capabilities. The outcomes of this project will result in significant reductions in work related injuries, injury compensation costs and associated societal burdens.
Symbiotic transport proteins in legumes. Some plants form a symbiosis with soil bacteria (rhizobia) that convert atmospheric nitrogen to ammonia which is then supplied to the plant. This enables legumes to grow without application of nitrogen-based fertilizer, avoiding environmental problems such as run-off and land degradation, thereby contributing to sustainable agriculture practise. We will investigate the interactions between plant and rhizobia, focusing on identifying genes and proteins wh ....Symbiotic transport proteins in legumes. Some plants form a symbiosis with soil bacteria (rhizobia) that convert atmospheric nitrogen to ammonia which is then supplied to the plant. This enables legumes to grow without application of nitrogen-based fertilizer, avoiding environmental problems such as run-off and land degradation, thereby contributing to sustainable agriculture practise. We will investigate the interactions between plant and rhizobia, focusing on identifying genes and proteins which govern nutrient exchange between the partners and development of the special structures in the roots that house the bacteria. Subsequent manipulation of these genes and proteins may allow us to identify control points and enhance nitrogen fixation.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775534
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
A liquid chromatograph-mass spectrometer for plant metabolomics. The Australian Agrifood sector will benefit significantly from the establishment of functional genomics platform technologies, such as metabolomics, that underpin 'Systems Biology'; a new branch of biology that attempts to discover and understand biological properties that emerge from the interactions of many system elements. Australian agriculture will benefit through the development of techniques to improve both yield and quality ....A liquid chromatograph-mass spectrometer for plant metabolomics. The Australian Agrifood sector will benefit significantly from the establishment of functional genomics platform technologies, such as metabolomics, that underpin 'Systems Biology'; a new branch of biology that attempts to discover and understand biological properties that emerge from the interactions of many system elements. Australian agriculture will benefit through the development of techniques to improve both yield and quality through minimising the effects of abiotic and biotic stresses, and a reduced dependence on inputs (eg fertilisers) leading to environmentally sustainable production systems. Ultimately this will result in enhanced food quality and analytical methods to monitor quality and safety characteristics of food.Read moreRead less
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