Experimental and numerical studies of the packing of alumina powders. This project is to investigate the packing of alumina powders at both microscopic and macroscopic levels by means of physical and numerical experiments, aiming to develop a comprehensive understanding of the underlying physics and computer models for predicting the packing properties under conditions corresponding to different operations in alumina refining and smelting processes. It will generate an effective method to solve ....Experimental and numerical studies of the packing of alumina powders. This project is to investigate the packing of alumina powders at both microscopic and macroscopic levels by means of physical and numerical experiments, aiming to develop a comprehensive understanding of the underlying physics and computer models for predicting the packing properties under conditions corresponding to different operations in alumina refining and smelting processes. It will generate an effective method to solve the complex packing problems for process and/or property control in alumina/aluminium industry.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less
Supporting personalised learning in secondary schools through the use of specific mathematics assessments that reveal thinking. This project will improve numeracy standards in secondary schools, by assisting teachers to personalise the teaching of each student. Through detailed research, the project will develop sophisticated assessments that clearly reveal students' mathematical thinking. On-line diagnosis will suggest teaching activities that can bring about desired conceptual changes. The eff ....Supporting personalised learning in secondary schools through the use of specific mathematics assessments that reveal thinking. This project will improve numeracy standards in secondary schools, by assisting teachers to personalise the teaching of each student. Through detailed research, the project will develop sophisticated assessments that clearly reveal students' mathematical thinking. On-line diagnosis will suggest teaching activities that can bring about desired conceptual changes. The effectiveness of the resources will be thoroughly tested, for impact on student achievement and the mathematics teaching skills of teachers, especially those working out-of-field. Rural schools will have equal access to these resources. Good numeracy provides the foundation for life-long learning, employment satisfaction and the economic competitiveness of Australia.Read moreRead less
Engineered clay-polysaccharide composites for efficient nutrient delivery. Nitrogen (N) nutrient use efficiency of most arable crops in Australian soils is low, leading to excessive application of this nutrient. The low N use efficiency is attributed to its loss through leaching and gaseous emission, which contributes to both economic burden of the farming community and also results in environmental degradation. This project aims to work with clay industries to develop fertiliser products with c ....Engineered clay-polysaccharide composites for efficient nutrient delivery. Nitrogen (N) nutrient use efficiency of most arable crops in Australian soils is low, leading to excessive application of this nutrient. The low N use efficiency is attributed to its loss through leaching and gaseous emission, which contributes to both economic burden of the farming community and also results in environmental degradation. This project aims to work with clay industries to develop fertiliser products with controlled release characteristics to increase N use efficiency and farm productivity. It will also create new market opportunities for the mining industry for the use of clays and create novel materials for delivery of nutrients and moisture for the agrochemical industry resulting in the creation of marketing opportunities.Read moreRead less
Improved control of dioxin emissions during iron ore sintering. This project aims to develop an innovative assessment of dioxin formation through analysis and speciation of its precursors (Cl and Cu). Iron ore sintering is the industrial process with the highest emissions of dioxins and furans to the environment in Australia, which are amongst the most toxic substances produced by man. The aim of this project is to conduct critical investigations required for control of dioxin emissions during i ....Improved control of dioxin emissions during iron ore sintering. This project aims to develop an innovative assessment of dioxin formation through analysis and speciation of its precursors (Cl and Cu). Iron ore sintering is the industrial process with the highest emissions of dioxins and furans to the environment in Australia, which are amongst the most toxic substances produced by man. The aim of this project is to conduct critical investigations required for control of dioxin emissions during iron ore sintering. The expected outcome of this project is the development of control mechanisms for the process conditions responsible for dioxin formation. This should provide significant benefits, such as assisting the Australian iron ore industry to address the environmental requirements of their international trade partners and sustain their iron ore exports.Read moreRead less