Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and e ....Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.Read moreRead less
Tracking formation-flying of nanosatellites using inter-satellite links. This project aims to realise real-time kinematic precise orbit and attitude determination of nano satellites. Formation flying, based on distributed miniaturised satellites such as Cubesats, is envisioned to revolutionise the way the space-science community conducts autonomous missions. The project will develop a purely kinematic concept exploiting the full capabilities of Global Navigation Satellite Systems (GNSS) carrier- ....Tracking formation-flying of nanosatellites using inter-satellite links. This project aims to realise real-time kinematic precise orbit and attitude determination of nano satellites. Formation flying, based on distributed miniaturised satellites such as Cubesats, is envisioned to revolutionise the way the space-science community conducts autonomous missions. The project will develop a purely kinematic concept exploiting the full capabilities of Global Navigation Satellite Systems (GNSS) carrier-phase measurements for instantaneous precise orbit and attitude determination of the Cubesats. The project will also pioneer the use of the satellite based augmentation systems (SBAS), supporting the future Australian SBAS program, and the development of integrated algorithms for space-based, Precise Point Positioning with fixed ambiguities supported by SBAS.Read moreRead less
Unravelling how aquatic coastal networks regulate nitrogen removal . The aim of this project is to determine the nitrogen removal pathways of the coastal zone using a number of innovative field and modelling approaches. Little is known about how the complex coastal landscape controls trade-offs that maximise nitrogen removal but minimise nitrous oxide (a potent greenhouse gas) emissions. The outcomes of this study will significantly advance our understanding of the coastal zone in regional and g ....Unravelling how aquatic coastal networks regulate nitrogen removal . The aim of this project is to determine the nitrogen removal pathways of the coastal zone using a number of innovative field and modelling approaches. Little is known about how the complex coastal landscape controls trade-offs that maximise nitrogen removal but minimise nitrous oxide (a potent greenhouse gas) emissions. The outcomes of this study will significantly advance our understanding of the coastal zone in regional and global nitrogen budgets. This will provide significant benefits such as a new science-based quantitative framework to facilitate best practice management to reduce terrestrial nitrogen loads and associated downstream impacts such as eutrophication, and reduce nitrous oxide emissions and associated global warming.
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Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecologic ....The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecological impacts of industry development. Important benefits of the project include information and tools for streamlining development approvals and accurately assessing risks to threatened species to improve outcomes for both our economy and our natural environment.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
More than a reserve? Measuring the benefits of private protected areas. This project aims to develop a framework for understanding the full suite of benefits derived from privately protected areas in Australia. It will develop and test a new interdisciplinary approach to measure the ecological, socio-cultural, and economic benefits of protected areas to both human and non-human beneficiaries. Outcomes will include a systematic process to effectively gather data, analyse, and report on the full s ....More than a reserve? Measuring the benefits of private protected areas. This project aims to develop a framework for understanding the full suite of benefits derived from privately protected areas in Australia. It will develop and test a new interdisciplinary approach to measure the ecological, socio-cultural, and economic benefits of protected areas to both human and non-human beneficiaries. Outcomes will include a systematic process to effectively gather data, analyse, and report on the full suite of benefits derived from protected areas. The framework will provide a robust evidence base for the range of benefits provided by private protected areas. This will be vital to manage and grow Australia’s protected area network to reduce biodiversity and environmental declines, and meet international commitments.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100035
Funder
Australian Research Council
Funding Amount
$1,205,137.00
Summary
Founding an Australian Critical Zone Observatory Network. This proposal founds a new network of Australian Critical Zone Observatories. The network will fill essential knowledge gaps about interactions of under- and above-ground environmental processes and their responses to disturbance and change. These interactions determine the sustainability of food, clean water, mineral resources and Australian ecosystems, and cannot be studied with existing environmental infrastructure. The 5 foundation ....Founding an Australian Critical Zone Observatory Network. This proposal founds a new network of Australian Critical Zone Observatories. The network will fill essential knowledge gaps about interactions of under- and above-ground environmental processes and their responses to disturbance and change. These interactions determine the sustainability of food, clean water, mineral resources and Australian ecosystems, and cannot be studied with existing environmental infrastructure. The 5 foundational sites will host integrated monitoring equipment to observe stocks and fluxes of carbon, water, energy and mass across the “Critical Zone” – the vertical span from plant canopies to fresh bedrock. Joining a burgeoning international movement, the network will catalyse Critical Zone science in Australia.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less