Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b ....Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.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.
Automation of species recognition and size measurement of fish from underwater stereo-video imagery. The project aims to develop algorithms to automate the processing of stereo-video images recorded to count and measure the size of fish. This will improve husbandry and monitoring for finfish aquaculture at reduced costs, create technology export for industry partners, and develop cost effective, non-destructive finfish sampling tools for marine agencies.
Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ ....Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ techniques proposed in this research will give vital information of the complex chemical pathways involved during processing which current characterization methods on pre- and post-processed species do not achieve.Read moreRead less
Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean a ....Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean ages for the sample. This project aims to determine whether it is possible to determine moments of the groundwater age distributions from measurements made with different environmental tracers. The project also aims to examine whether the degree of heterogeneity within the aquifer can be determined from the disparity between ages obtained with different tracers. This project aims to tackle the largest problem with using groundwater chemistry to estimate water age – that mixing processes in the subsurface are never known. Solving this problem will allow much more accurate estimates of groundwater velocity and aquifer recharge rates. The groundwater industry contributes an estimated $6.8 billion per annum to the Australian economy, and this project will contribute to the sustainable management of the groundwater resource.Read moreRead less
Mathematics and computing for integrated stockyard-centric management of mining supply chains. Blended mineral products, such as coal and iron ore, make a strong contribution to Australia's economy. Blending occurs in stockpiles, so to realise product value, stockyard and supply chain operational plans must align with blend targets. This project will provide new mathematical and computational planning tools to maximise this value.
Effect of faults and barriers on groundwater flow and solute transport. This project will address the role of faults and dykes on groundwater flow and solute transport. Faults and dykes can act as barriers to groundwater flow, yet faults can also be conduits for flow through otherwise impermeable layers. Understanding their role is critical to assessing the impacts of mining, unconventional gas and water resource developments. This project expects to develop new methods to quantify groundwater f ....Effect of faults and barriers on groundwater flow and solute transport. This project will address the role of faults and dykes on groundwater flow and solute transport. Faults and dykes can act as barriers to groundwater flow, yet faults can also be conduits for flow through otherwise impermeable layers. Understanding their role is critical to assessing the impacts of mining, unconventional gas and water resource developments. This project expects to develop new methods to quantify groundwater flow through and along faults and dykes by combining geological, hydraulic and geochemical approaches with detailed 3D numerical models. The expected outcome will be an improved understanding of the role of faults and barriers in subsurface hydrology, and an improved ability to model complex groundwater systems.Read moreRead less