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
Map My Say - An innovative participatory mapping tool for TOD evaluation. This project will directly engage with the community through the development of an innovative public participatory mapping tool ("Map My Say") to evaluate community experiences of infill development and to identify the determinants of community support for, or resistance to, densification in urban development sites correlated with public transport. The findings of the project will support future planning and land use deci ....Map My Say - An innovative participatory mapping tool for TOD evaluation. This project will directly engage with the community through the development of an innovative public participatory mapping tool ("Map My Say") to evaluate community experiences of infill development and to identify the determinants of community support for, or resistance to, densification in urban development sites correlated with public transport. The findings of the project will support future planning and land use decisions related to creating resilient urban environments and provide decision planning tools to support appropriate solutions for urban communities. Working with our industry partners the findings will be used to directly inform the planning and design of future Metronet station precincts in Western Australia.
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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
Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understand ....Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.Read moreRead less
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
Evolution of Proterozoic multistage rift basins – key to mineral systems. This project will deliver a new quantitative and integrated exploratory framework for the mineral industry in Australia’s frontier sedimentary basins by integrating the latest advances in laboratory experimental tectonics with thermo-mechanical numerical, surface process and geophysical modelling. The project will use northern Australian basins as a natural laboratory to address the fundamental processes involved in the de ....Evolution of Proterozoic multistage rift basins – key to mineral systems. This project will deliver a new quantitative and integrated exploratory framework for the mineral industry in Australia’s frontier sedimentary basins by integrating the latest advances in laboratory experimental tectonics with thermo-mechanical numerical, surface process and geophysical modelling. The project will use northern Australian basins as a natural laboratory to address the fundamental processes involved in the development of sedimentary ore systems. The project will investigate how they can be detected by modern exploration techniques using a multidisciplinary approach with a team of experts with backgrounds in mineral and petroleum systems. Read moreRead less
Novel isotope techniques to explore the Centralian Superbasin, Australia. This project will leverage new advances in analytical instrumentation and isotope techniques to generate improved geochronological and stratigraphic framework for the Centralian Superbasin, a vast ancient depositional system covering much of central Australia. The project aims to apply novel laser-based dating of sedimentary rocks, coupled with metal isotope proxy reconstructions of the basin’s palaeogeography, hydrologica ....Novel isotope techniques to explore the Centralian Superbasin, Australia. This project will leverage new advances in analytical instrumentation and isotope techniques to generate improved geochronological and stratigraphic framework for the Centralian Superbasin, a vast ancient depositional system covering much of central Australia. The project aims to apply novel laser-based dating of sedimentary rocks, coupled with metal isotope proxy reconstructions of the basin’s palaeogeography, hydrological connectivity and past redox conditions, which are all critical parameters to guide and de-risk future exploration of sediment-hosted resources in this frontier basin. Anticipated outcomes will benefit Australia's resources economy, while providing insights into the evolution of Earth’s surface environment in deep time.Read moreRead less
Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students train ....Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students trained in advanced computational methods suitable for the evolving Australian oil and gas industry; and a software product that has high commericalisation potential. The project will transfer knowledge from European industry and universities to Australia and has applications for mineral prospectivity in sedimentary basins. Read moreRead less
Photogrammetric Reconstruction for Underwater Virtual Heritage Experiences. This project aims to enable significant underwater cultural heritage sites such as shipwrecks to be recreated in immersive underwater virtual heritage experiences. Photogrammetric 3D reconstruction techniques will be used to generate complex digital 3D models of shipwreck sites from hundreds of thousands of underwater images. This will allow vivid experiences to be created which explain the stories of these wrecks. The p ....Photogrammetric Reconstruction for Underwater Virtual Heritage Experiences. This project aims to enable significant underwater cultural heritage sites such as shipwrecks to be recreated in immersive underwater virtual heritage experiences. Photogrammetric 3D reconstruction techniques will be used to generate complex digital 3D models of shipwreck sites from hundreds of thousands of underwater images. This will allow vivid experiences to be created which explain the stories of these wrecks. The project will conduct audience engagement studies to recommend the most appropriate methods to implement underwater virtual heritage experiences for Australian audiences. The sites which will be used as test datasets are some of the most significant Australian shipwreck sites, including HMAS Sydney (II) and HMAS AE1.Read moreRead less
Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop ....Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop efficient privacy preserving algorithms to deal with static and dynamic network data sharing. The success of this project will benefit many industries and government agencies to reduce users’ privacy breaches, avoid illegal consequences of sharing data, and enhance these service providers’ service quality.Read moreRead less