Improved Monte Carlo Methods for Estimation, Optimisation and Counting. The project will benefit the Australian society by building the theoretical and methodological foundations for the next generation of Monte Carlo techniques. The advancement of the knowledge in this area will provide important tools for solving complex estimation, optimisation and counting problems in engineering, statistics, computer science, mathematics and the physical and life sciences. As a result it will generate a com ....Improved Monte Carlo Methods for Estimation, Optimisation and Counting. The project will benefit the Australian society by building the theoretical and methodological foundations for the next generation of Monte Carlo techniques. The advancement of the knowledge in this area will provide important tools for solving complex estimation, optimisation and counting problems in engineering, statistics, computer science, mathematics and the physical and life sciences. As a result it will generate a competitive advantage for various sections of the Australian industry, including telecommunications, biotechnology and finance. The project will enable Australian researchers to continue to work at the forefront of this fast moving and exciting area of international research.Read moreRead less
Rare Event Simulation with Heavy Tails. The project provides a rigorous way to enhance our understanding of the mechanisms that bring about catastrophic rare events such as urban flooding, electricity shortages and financial bankrupcy. Australia is at the forefront of exciting recent developments in rare event simulation. The advancement of the knowledge in this area will generate a competitive advantage for various sections of the Australian industry, including the areas of industrial reliabili ....Rare Event Simulation with Heavy Tails. The project provides a rigorous way to enhance our understanding of the mechanisms that bring about catastrophic rare events such as urban flooding, electricity shortages and financial bankrupcy. Australia is at the forefront of exciting recent developments in rare event simulation. The advancement of the knowledge in this area will generate a competitive advantage for various sections of the Australian industry, including the areas of industrial reliability, finance and insurance, were accurate simulation techniques are becoming increasingly important.Read moreRead less
Micromechanical modelling of fault gouge dynamics: towards an improved fault constitutive relation. The human and economic costs of geological and other particulate media related problems in Australia are staggering. These include geological hazards (e.g. landslides and earthquakes; the Newcastle earthquake cost around $4 billion and 13 lives), to particulate processes prevalent in Australia's major export industries (e.g. coal export valued at $9.3 billion, iron ore at $3.8 billion, and wheat ....Micromechanical modelling of fault gouge dynamics: towards an improved fault constitutive relation. The human and economic costs of geological and other particulate media related problems in Australia are staggering. These include geological hazards (e.g. landslides and earthquakes; the Newcastle earthquake cost around $4 billion and 13 lives), to particulate processes prevalent in Australia's major export industries (e.g. coal export valued at $9.3 billion, iron ore at $3.8 billion, and wheat at $3.4 billion), to Australia's 810,000 km granular paved road network that costs around $5.5 million per day to maintain. The program will deliver new knowledge and advanced analytical and predictive modelling tools capable of fuelling breakthroughs in earthquake forecasting research and industrial innovations.
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The Development of High Strength Aluminium and Magnesium Alloys Using "Edge-to-edge" Matching Model. The theoretical, crystallographic "edge-to-edge" matching model for diffusion-controlled phase transformations will be applied to the practical development of improved industrial aluminium and magnesium alloys with assistance of computer simulations. The model will be used to enhance the precipitation hardening response and to identify more effective grain refiners in these light alloys. The aim ....The Development of High Strength Aluminium and Magnesium Alloys Using "Edge-to-edge" Matching Model. The theoretical, crystallographic "edge-to-edge" matching model for diffusion-controlled phase transformations will be applied to the practical development of improved industrial aluminium and magnesium alloys with assistance of computer simulations. The model will be used to enhance the precipitation hardening response and to identify more effective grain refiners in these light alloys. The aims will be the development of one high strength aluminium alloy with good ductility and one high strength magnesium alloy with good creep resistance at elevated temperatures. A computer program that will help to identify the most effective grain refiners for specific light alloys will also be produced.Read moreRead less
Neural mechanisms for human form perception. This project aims to determine if there is a single cortical mechanism underlying the human ability to discriminate and recognise objects. It has been speculated that different classes of objects, or forms require different processes. Demonstrating a single process would be a significant advance towards understanding the neural mechanisms giving rise to our ability to segment visual fields into meaningful objects and background. This research provides ....Neural mechanisms for human form perception. This project aims to determine if there is a single cortical mechanism underlying the human ability to discriminate and recognise objects. It has been speculated that different classes of objects, or forms require different processes. Demonstrating a single process would be a significant advance towards understanding the neural mechanisms giving rise to our ability to segment visual fields into meaningful objects and background. This research provides a means for testing models of the neural interactions thought to be generating human form perception and will help us discover how the visual cortex converts raw sensory input into object and form perception.Read moreRead less
Low Loss Distributed Wind Generators with Reduced Electromagnetic Interference and Shaft Voltage Based on Multilevel Converters. Distributed wind generators with minimum electromagnetic interference and bearing spikes are very important for the Australian energy industry because they are an environmentally friendly energy source. Predicting and reducing electromagnetic interferences and mechanical failures in wind farm systems is an important issue especially for the next generation of wind sys ....Low Loss Distributed Wind Generators with Reduced Electromagnetic Interference and Shaft Voltage Based on Multilevel Converters. Distributed wind generators with minimum electromagnetic interference and bearing spikes are very important for the Australian energy industry because they are an environmentally friendly energy source. Predicting and reducing electromagnetic interferences and mechanical failures in wind farm systems is an important issue especially for the next generation of wind systems when fast and advanced power electronic switches can create more EMI noise for both onshore and offshore wind farms. Medium-Voltage Direct Current (MVDC) systems have good performance and low losses, and are of particular interest to states which are close to wind power sources.Read moreRead less
Computer Modelling of the Morphology and Crystallography of Diffusion-controlled Phase Transformations. An analytical, phenomenological version of the successful "edge-to edge" matching approach to the morphology and crystallography of diffusion-controlled phase transformations will be developed. This will be incorporated in a Windows based computer program that can predict the essential features of precipitation (orientation relationships, habit planes, morphology and interface structure), fro ....Computer Modelling of the Morphology and Crystallography of Diffusion-controlled Phase Transformations. An analytical, phenomenological version of the successful "edge-to edge" matching approach to the morphology and crystallography of diffusion-controlled phase transformations will be developed. This will be incorporated in a Windows based computer program that can predict the essential features of precipitation (orientation relationships, habit planes, morphology and interface structure), from readily available input data for the two phases involved. It will provide a fuller understanding of diffusion-controlled phase transformations and the computer simulation will assist in the development of improved precipitation hardening alloys. In addition, a database of crystallographic data for typical metallic materials will be established in the project.Read moreRead less
Meshless, numerical modelling for polymer processing. The new modelling technology will significantly improve Australian polymer producers' competitiveness and their ability to respond to international market forces. The technology will lead to new opportunities for Australian companies that develop simulation software. Our consumers will benefit from improvements in the design of polymer products. Our researchers in rheology and computational mechanics will gain further opportunities to extend ....Meshless, numerical modelling for polymer processing. The new modelling technology will significantly improve Australian polymer producers' competitiveness and their ability to respond to international market forces. The technology will lead to new opportunities for Australian companies that develop simulation software. Our consumers will benefit from improvements in the design of polymer products. Our researchers in rheology and computational mechanics will gain further opportunities to extend the advances this project will make.Read moreRead less
Computational Modeling of RNA Control Networks. One of the most exciting new ideas for understanding the regulation of gene expression involves the contribution of intronic and other non-protein coding RNAs to regulatory networks within cells. This novel role for intronic RNA is currently making headlines within the molecular biology community but has not yet been modelled computationally. The network of genetic regulatory interactions forms a complex system which is amenable to computational ....Computational Modeling of RNA Control Networks. One of the most exciting new ideas for understanding the regulation of gene expression involves the contribution of intronic and other non-protein coding RNAs to regulatory networks within cells. This novel role for intronic RNA is currently making headlines within the molecular biology community but has not yet been modelled computationally. The network of genetic regulatory interactions forms a complex system which is amenable to computational analysis. This project aims to extend current models to incorporate intronic RNA feedback control, complementing parallel studies in vivo, and computationally testing ideas essential to the theoretical understanding of the basis of life.Read moreRead less
Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biolog ....Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biological data. In this project we will develop efficient methodologies and data structures for gathering high-quality approximations of full genomic information, and will use these innovations as the foundation to develop novel, practical tools for clustering and visualization in genomic data mining and database management.
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