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
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.
Palladium Based Mobile Agent System for Collaborative Environments. This project aims to (a) develop a Palladium based mobile agent methodology and System for collaborative environments and to (b) construct a testbed that involves the creation of Palladium and mobile agent system to test it on "Virtual Community", that is, a real commercial application provided by our partner investigator for proof of concept.
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
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
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Co-designing a resilient water-energy toolbox with Indigenous communities. The aim is to collaboratively create a toolbox of innovative, community-based approaches for water and energy management in remote Australia. This project will combine digital and cultural approaches to create a novel set of tested and evaluated tools for engaging both community and service providers in transforming water and energy use practises in remote Indigenous communities. The key output will be an empirically-test ....Co-designing a resilient water-energy toolbox with Indigenous communities. The aim is to collaboratively create a toolbox of innovative, community-based approaches for water and energy management in remote Australia. This project will combine digital and cultural approaches to create a novel set of tested and evaluated tools for engaging both community and service providers in transforming water and energy use practises in remote Indigenous communities. The key output will be an empirically-tested and user friendly water-energy toolbox tailored to reduce the currently extreme cost of supplying essential services to remote communities. Application of these outputs will significantly reduce demand on local water sources and diesel-generated energy use while creating a skill base for local employment opportunities.Read moreRead less
Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivi ....Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivity. The emphasis is on producing optimal solutions for planning, design, erection, monitoring, dismantling, and relocation of scaffolding, so that productivity is maximised subject to satisfying required cost and safety constraints. The project aims to therefore secure long-term economic benefits by improving productivity and enhancing project performance.Read moreRead less
A Machine Learning Framework for Concrete Workability Estimation . Concrete is the most used construction material in Australia. The project aims to develop a system to measure the workability of concrete in transit in agitator trucks using advanced machine vision and machine learning, and provide a reliable alternative to the current practice of visually testing concrete workability by certified testers. Concrete that fails to meet workability requirements is one of the most frequent reasons fo ....A Machine Learning Framework for Concrete Workability Estimation . Concrete is the most used construction material in Australia. The project aims to develop a system to measure the workability of concrete in transit in agitator trucks using advanced machine vision and machine learning, and provide a reliable alternative to the current practice of visually testing concrete workability by certified testers. Concrete that fails to meet workability requirements is one of the most frequent reasons for rejection at construction sites, resulting in significant costs, waste, and delays. Multimodal data sources will be used to provide a reliable workability estimate in real time, enabling construction teams to identify and rectify workability issues in transit while continuously monitoring the adjustments effects.Read moreRead less
New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualis ....New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualisation and spatio-temporal analysis of geodata for resource exploration. The outcomes include an enhanced capacity to generate ore prospectivity maps and an improved understanding of their tectonic, geochemical, and geophysical signatures, benefiting Lithodat and their clients in the search for new mineral deposits.Read moreRead less