Constraints in XML Schema Integration. This project will produce worldwide leading technologies for designing XML data integration system. With the technologies, the well designed integration systems will be able store data with rich semantics and thus provide accurate and understandable information to users. In this way, Australia and communities will be benefited both financially and informatively. The research of this project will also add to the research reputation of Australia in data integ ....Constraints in XML Schema Integration. This project will produce worldwide leading technologies for designing XML data integration system. With the technologies, the well designed integration systems will be able store data with rich semantics and thus provide accurate and understandable information to users. In this way, Australia and communities will be benefited both financially and informatively. The research of this project will also add to the research reputation of Australia in data integration areas. At the same time, the knowledge capacity of Australia on data integration will be enlarged which further improves frontier research activities in the area. Through the research of the project, PhD students will be trained.Read moreRead less
XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contr ....XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contribute to the advance in database and web research communities and establish us as an internationally leading group in this research area. The technological outcomes will help organisations in Australia effectively and efficiently conduct e-Business on the Internet. Read moreRead less
ARC Centre for Nanostructured Electromaterials. Electromaterials transport electrons or ions and facilitate charge transfer, underpinning most energy capture/storage processes and cell communication. We propose a national Centre to develop nanostructured electromaterials with exceptional properties. The Centre aims to synthesise novel nanomaterials and assemble them into innovative nanoscale devices. We will exploit these materials to enhance performance in energy conversion/storage systems (eg. ....ARC Centre for Nanostructured Electromaterials. Electromaterials transport electrons or ions and facilitate charge transfer, underpinning most energy capture/storage processes and cell communication. We propose a national Centre to develop nanostructured electromaterials with exceptional properties. The Centre aims to synthesise novel nanomaterials and assemble them into innovative nanoscale devices. We will exploit these materials to enhance performance in energy conversion/storage systems (eg. photovoltaics, batteries, including wearable systems), and novel energy transfer in bioapplications (eg. Bionic Ear). These advances, together with the resource of trained personnel, will assist Australian industry to exploit this exciting area.Read moreRead less
Privacy preserving data sharing in data mining environments. Preserving privacy in data mining among various enterprises and organisations is essential for many real world applications in areas like health surveillance, business analysis, fraud detection and terror protection. Efficient and effective techniques are badly needed to protect privacy in data sharing and data mining. The developed cutting-edge techniques in this project will be implemented in freely available open source software too ....Privacy preserving data sharing in data mining environments. Preserving privacy in data mining among various enterprises and organisations is essential for many real world applications in areas like health surveillance, business analysis, fraud detection and terror protection. Efficient and effective techniques are badly needed to protect privacy in data sharing and data mining. The developed cutting-edge techniques in this project will be implemented in freely available open source software tools, empowering Australian organisations to utilise the techniques to develop intelligent systems in data sharing environments. These techniques will ultimately lead to better utilisation of the information available in many enterprises and organisations.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100158
Funder
Australian Research Council
Funding Amount
$348,026.00
Summary
A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and ....A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and evaluation of IoT technologies and services. The project will also serve as a vehicle for the education and training of Australia’s next generation of scholars and engineers, and contribute to Australia’s scientific visibility.Read moreRead less
Industry Laureate Fellowships - Grant ID: IL230100039
Funder
Australian Research Council
Funding Amount
$3,516,522.00
Summary
Aqueous sodium batteries for household and smart-grid electricity storage. This project aims to design and commercialise safe, cost-effective, long-lasting, fast-charging, high energy density aqueous sodium-based batteries to store renewable energy for use in households and smart grids. With a focus on developing and scaling technology and in collaboration with industry partners, the project’s expected outcomes include an enhanced ability to store excess energy and modulate its release into a sm ....Aqueous sodium batteries for household and smart-grid electricity storage. This project aims to design and commercialise safe, cost-effective, long-lasting, fast-charging, high energy density aqueous sodium-based batteries to store renewable energy for use in households and smart grids. With a focus on developing and scaling technology and in collaboration with industry partners, the project’s expected outcomes include an enhanced ability to store excess energy and modulate its release into a smart grid during peak demand. Of benefits to Australia, this project will deliver access to reliable, safe and cheap batteries for smart-grid electricity storage in households and a competitive industry manufacturing capability. The downstream benefit is a reduction in energy costs and a contribution to net-zero emissions.
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ARC Centre of Excellence for Carbon Science and Innovation. ARC Centre of Excellence for Carbon Science and Innovation. This Centre aims to develop carbon-based catalysts for clean energy, CO2 capture, and green chemistry to reduce emissions. The Centre expects to use pioneering data-guided atomic-precision synthesis and multiscale analysis to transform fundamental science of carbon materials. Expected outcomes of this Centre will benefit new technologies for energy, environmental, and green che ....ARC Centre of Excellence for Carbon Science and Innovation. ARC Centre of Excellence for Carbon Science and Innovation. This Centre aims to develop carbon-based catalysts for clean energy, CO2 capture, and green chemistry to reduce emissions. The Centre expects to use pioneering data-guided atomic-precision synthesis and multiscale analysis to transform fundamental science of carbon materials. Expected outcomes of this Centre will benefit new technologies for energy, environmental, and green chemical industries by utilising abundant sunlight, seawater, and waste feedstocks. This should provide significant benefits, through industry collaborations, our new world-leading capacity will train a next generation of game changers to empower emerging carbon industries to solve grand socio-economic challenges, ultimately meeting zero-carbon emissions targets.Read moreRead less
Efficient Management of Things for the Future World Wide Web. The future World Wide Web will connect billions of physical objects, which will offer exciting capabilities to change the world and improve the quality of human lives, just as what the Web has done in the past 20 years. Effectively and efficiently managing things is one inevitable challenge in this new era and is much more complicated than managing traditional Web documents. This project aims to focus on this key problem and develop n ....Efficient Management of Things for the Future World Wide Web. The future World Wide Web will connect billions of physical objects, which will offer exciting capabilities to change the world and improve the quality of human lives, just as what the Web has done in the past 20 years. Effectively and efficiently managing things is one inevitable challenge in this new era and is much more complicated than managing traditional Web documents. This project aims to focus on this key problem and develop novel techniques for linking resource-constrained things to the Web, searching them using a new search engine, as well as discovering latent relationships among things for advanced management tasks such as things recommendation and composition.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100471
Funder
Australian Research Council
Funding Amount
$456,318.00
Summary
Designing advanced Zn-ion batteries towards practical applications. Aqueous Zn-ion batteries (ZIBs) are much safer and cheaper than current Li-ion batteries due to the water-based electrolyte and abundant Zn reserves. However, the state-of-the-art ZIB technique faces huge challenges for practical applications due to the low cathode capacity and poor Zn anode reversibility. This project aims to design novel cathodes with a new-type mechanism and highly reversible Zn anodes. Accordingly, on-demand ....Designing advanced Zn-ion batteries towards practical applications. Aqueous Zn-ion batteries (ZIBs) are much safer and cheaper than current Li-ion batteries due to the water-based electrolyte and abundant Zn reserves. However, the state-of-the-art ZIB technique faces huge challenges for practical applications due to the low cathode capacity and poor Zn anode reversibility. This project aims to design novel cathodes with a new-type mechanism and highly reversible Zn anodes. Accordingly, on-demand large-size ZIBs and flexible devices under industrial parameters will also be developed. The success of this project will place Australia at the forefront of implementing safe and low-cost batteries in largescale smart grid systems, household markets, and wearable medical devices.Read moreRead less
Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to ....Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to represent the extracted semantic relationships and novel linkage-analysis based algorithms will be developed for ranking objects. The results from this project will underpin many critical applications such as healthcare.Read moreRead less