Spatial sound control for testing multi-channel audio devices. Spatial sound control for testing multi-channel audio devices. This project aims to test Alternative Listening Devices/Personal Sound Amplification Devices (PSAPs), multi-input audio devices fast replacing hearing aids due to their affordability and easy accessibility. With more consumers choosing PSAPs, proper testing is needed to assess the devices’ safety and benefit in real-life acoustic situations. This project will test PSAPs i ....Spatial sound control for testing multi-channel audio devices. Spatial sound control for testing multi-channel audio devices. This project aims to test Alternative Listening Devices/Personal Sound Amplification Devices (PSAPs), multi-input audio devices fast replacing hearing aids due to their affordability and easy accessibility. With more consumers choosing PSAPs, proper testing is needed to assess the devices’ safety and benefit in real-life acoustic situations. This project will test PSAPs in laboratory setups that use spatial audio processing techniques to mimic realistic acoustic environments, and develop theoretical frameworks to overcome existing limitations to accurate spatial sound reproduction. This research is expected to provide innovative solutions to safeguard Australia's future hearing health.Read moreRead less
Enhancing the Understanding and Performance of Passivating TiO2 Coatings for Photovoltaic Devices. Titanium dioxide (TiO2) has been widely used as an antireflection coating in the silicon (Si) photovoltaics industry as it exhibits excellent optical properties and low deposition cost. However, recently manufacturers have been turning to alternatives such as hydrogenated silicon nitride coatings that exhibit greatly improved electronic properties, but cost 4 - 10 times more to deposit. This proj ....Enhancing the Understanding and Performance of Passivating TiO2 Coatings for Photovoltaic Devices. Titanium dioxide (TiO2) has been widely used as an antireflection coating in the silicon (Si) photovoltaics industry as it exhibits excellent optical properties and low deposition cost. However, recently manufacturers have been turning to alternatives such as hydrogenated silicon nitride coatings that exhibit greatly improved electronic properties, but cost 4 - 10 times more to deposit. This project seeks to understand the fundamental limitations behind the poor surface passivation afforded by TiO2 to a Si wafer, and subsequently develop a passivating TiO2 coating that can reduce the cost of electricity generated by Si solar cells.Read moreRead less
Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be ....Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be seen as protecting the security of power infrastructure as well. Maintaining a critical energy infrastructure protects our way of life and ensures ongoing social, economic and environmental well being of Australia.Read moreRead less
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
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
Towards a high density silicon phase change memory device. This project builds upon our exciting recent findings that amorphous silicon can be transformed to a conducting crystalline phase following small-scale indentation. Furthermore the process is reversible as re-indentation can induce a transformation back to insulating amorphous silicon. This process appears to occur in extremely small (nanoscale) volumes of silicon. We plan to explore the viability of exploiting this behaviour to develo ....Towards a high density silicon phase change memory device. This project builds upon our exciting recent findings that amorphous silicon can be transformed to a conducting crystalline phase following small-scale indentation. Furthermore the process is reversible as re-indentation can induce a transformation back to insulating amorphous silicon. This process appears to occur in extremely small (nanoscale) volumes of silicon. We plan to explore the viability of exploiting this behaviour to develop an entirely new information storage system: a high-density silicon phase change memory. This project aims to study small-scale transformation behaviour in silicon and to design demonstrator memory devices based on both micro-electromechanical systems and solid state technologies.Read moreRead less
Stable perovskite-unlocking the full potential of low-cost solar cells. Despite impressive conversion efficiency, the perovskites' poor stability impedes their commercialization. This project aims to develop strategies for stable perovskite solar cells. This will be realized by a thorough understanding of the degradation origins with stimuli, and development of degradation mitigation strategies including materials and interfaces engineering, defect control and passivation, synergized by a system ....Stable perovskite-unlocking the full potential of low-cost solar cells. Despite impressive conversion efficiency, the perovskites' poor stability impedes their commercialization. This project aims to develop strategies for stable perovskite solar cells. This will be realized by a thorough understanding of the degradation origins with stimuli, and development of degradation mitigation strategies including materials and interfaces engineering, defect control and passivation, synergized by a systematic degradation evaluation, state-of-art multi-scale material and device characterizations and device modeling providing feedback for optimization. The project will bring new scientific findings, key technological step-change solutions, unlocking the full potential of perovskites for cheaper photovoltaic technologies.
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Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.Read moreRead less
Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can intera ....Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can interactively experience the plant archive through narratives that activate plants as underpinning ecosystems. Benefits to partners RBG, Bundanon Trust and Open Humanities Press will include the digital expansion of audience engagement with the Herbarium at RBG and Mt Annan and communication of collection’s significance.Read moreRead less
Structures and Protocols for Inference. The proposed research is expected to lead to increased adoption and efficiency of use of machine learning technologies. It will develop new and better ways to use existing machine learning software in a manner that allows easier integration into commercial products. It will increase the competitiveness of Australian industry.