Variation and Perceptual Ecologies in Computer Games and Simulations: Towards a Generic Model of Variable 3D Environments. The non repeatability is a key element in providing a challenging and interesting experience in computer games and simulations. However, too much variation could lead to a rejection of the environment and reluctance to accept the premise as a base for game play or training. Examples of applications that could utilise this research include; (a) Computer Games - always playing ....Variation and Perceptual Ecologies in Computer Games and Simulations: Towards a Generic Model of Variable 3D Environments. The non repeatability is a key element in providing a challenging and interesting experience in computer games and simulations. However, too much variation could lead to a rejection of the environment and reluctance to accept the premise as a base for game play or training. Examples of applications that could utilise this research include; (a) Computer Games - always playing in an unknown environment, (b) Vocational Training - a Forest Fire Fighting simulation that allows for different terrain configurations, undergrowth volatility, fire source, etc., and (c) Military Simulations - Anti-terrorist simulations where the level of variability will manifest itself both in the physical environment and in the nature of the combatants. Read moreRead less
Assessment of the Seismic Hazard in South-East Queensland utilizing earthquake simulations. Assessment of seismic hazard in Australia is hampered by relatively few instrumental records of past earthquakes. Supercomputer simulations of long-term earthquake activity and strong ground motion, provide an alternative method for estimating the risk posed by earthquakes. The aim of this project is to construct a physical model for South-East Queensland incorporating the major faults and rock units of ....Assessment of the Seismic Hazard in South-East Queensland utilizing earthquake simulations. Assessment of seismic hazard in Australia is hampered by relatively few instrumental records of past earthquakes. Supercomputer simulations of long-term earthquake activity and strong ground motion, provide an alternative method for estimating the risk posed by earthquakes. The aim of this project is to construct a physical model for South-East Queensland incorporating the major faults and rock units of the region. In conjunction with earthquake simulation software of the Australian Computational Earth Systems Simulator, this model will be employed to analyse the spatial and temporal variability of earthquake activity and the ground motion resulting from these earthquakes.Read moreRead less
APEC Cooperation for Earthquake Simulation Visitors Program. This project aims to improve understanding of earthquakes through development of numerical simulation models for the earthquake generation process. Its centerpiece is a major international collaboration, achieved via a visitor exchange program between the headquarters of the APEC Cooperation for Earthquake Simulation in Australia and overseas centres of excellence. Earthquakes are one of the most costly and deadly natural disasters, a ....APEC Cooperation for Earthquake Simulation Visitors Program. This project aims to improve understanding of earthquakes through development of numerical simulation models for the earthquake generation process. Its centerpiece is a major international collaboration, achieved via a visitor exchange program between the headquarters of the APEC Cooperation for Earthquake Simulation in Australia and overseas centres of excellence. Earthquakes are one of the most costly and deadly natural disasters, and APEC member economies have a high earthquake risk. Recent analyses suggest earthquakes may dominate the loss potential in Australia. The complementary research programs offer an opportunity to achieve breakthrough advances in improved methods of earthquake forecasting and hazard quantification.Read moreRead less
Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results wi ....Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results will be applied to solve problems in finance, health management and marketing. In all these fields multiple observations are often taken per individual or time period and the models need to incorporate measures of dependence and uncertainty.Read moreRead less
Spatial Simulation Modelling Of Containment Strategies For Pandemic Influenza
Funder
National Health and Medical Research Council
Funding Amount
$99,927.00
Summary
This research will develop a spatial simulation model to predict the spread of pandemic influenza within Australia. The resulting software program will be readily usable by disease managers, both during and prior to an outbreak, to predict the effect of various containment measures on the size, rate and location of disease spread, through a city, state or the nation. Deployed in _real time� after an outbreak has started in Australia, it will be used to predict infection spread and the containmen ....This research will develop a spatial simulation model to predict the spread of pandemic influenza within Australia. The resulting software program will be readily usable by disease managers, both during and prior to an outbreak, to predict the effect of various containment measures on the size, rate and location of disease spread, through a city, state or the nation. Deployed in _real time� after an outbreak has started in Australia, it will be used to predict infection spread and the containment effect of a range of interventions. The model would use data obtained during initial stages of the outbreak to refine the model, so allowing accuracy in daily spread prediction; similar use of spatial models occurred during the 2001 Foot and Mouth Disease (FMD) outbreak in the UK. In a pre-pandemic period the simulation model will be available to predict the containment effect of a range of response measures, such as travel restrictions, workplace and school closures, vaccination and antiviral usage. Specifically, this project will apply the simulation model to determine optimal use of limited resources such as the _when and where� targeting of antiviral drugs and initial supplies of vaccine.Read moreRead less
Mapping ear morphology to individualised three dimensional audio. The project aims to develop a practical method to derive a listener's individualised Head Related Transfer Functions from two dimensional images of the head and ears. These are essential for generating high-fidelity three dimensional audio. The project will perceptually evaluate and test the proposed system when applied to teleconferencing, surveillance, and navigational guidance.
Nano-Rheology and Nano-Tribology: Atomistic Simulation of Boundary Lubrication. Manufacturing in atomic level is going to transform the efficiency level in many important applications. As molecular biology transformed medical and biological sciences,so molecular level material design and the techniques involved are going to significantly affect the engineering applications and manufacturing in coming decades. We have no doubt the benefits will flow from the project to many disciplines that are c ....Nano-Rheology and Nano-Tribology: Atomistic Simulation of Boundary Lubrication. Manufacturing in atomic level is going to transform the efficiency level in many important applications. As molecular biology transformed medical and biological sciences,so molecular level material design and the techniques involved are going to significantly affect the engineering applications and manufacturing in coming decades. We have no doubt the benefits will flow from the project to many disciplines that are critical in manufacturing and commercialisation of nano-devices. The results will position Australia in the forefront of one of the most important leading edge technologies in the world. This not only will improve Australia's research profile in the world but also will enable it to capitalize on any future commercial outcomesRead moreRead less
Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminate ....Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminated by accurate estimation of the clamp force signal, through fusion of more readily available measurements. Development of the proposed data fusion techniques influences the design of future EMBs and enhances the functionality of existing brake-by-wire systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101049
Funder
Australian Research Council
Funding Amount
$432,485.00
Summary
Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumou ....Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumour, (2) novel models for the diffusion of an evolving rumour, and (3) techniques for detecting the diffusion sources of the original rumour and its mutations. This not only will constitute a major advancement in the theory and application of rumour study but also lead the decision-makers in debunking rumours.Read moreRead less