ARC Complex Open Systems Research Network. Complexity is the common frontier in the physical, biological and social sciences. This Network will link specialists in all three sciences through five generic conceptual and mathematical theme activities. It will promote research into how subsystems self-organise into new emergent structures when assembled into an open, non-equilibrium system. Outcomes will include new technologies and software tools and deeper understanding of fundamental questions i ....ARC Complex Open Systems Research Network. Complexity is the common frontier in the physical, biological and social sciences. This Network will link specialists in all three sciences through five generic conceptual and mathematical theme activities. It will promote research into how subsystems self-organise into new emergent structures when assembled into an open, non-equilibrium system. Outcomes will include new technologies and software tools and deeper understanding of fundamental questions in science. An essential function of the network will be introducing researchers end users to new tools and broadening the horizons of graduate students.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347797
Funder
Australian Research Council
Funding Amount
$263,000.00
Summary
A Versatile High-resolution X-ray Diffractometer for Materials Research. The aim of this project is to establish a state-of-the-art triple-axis x-ray diffraction facility capable of non-destructively analysing complex semiconductor materials and structures investigated by all Australian semiconductor-growing groups. Growers and device engineers will be able to control growth processes accurately and correlate device performance with structural analysis. Modern triple-axis instruments can also b ....A Versatile High-resolution X-ray Diffractometer for Materials Research. The aim of this project is to establish a state-of-the-art triple-axis x-ray diffraction facility capable of non-destructively analysing complex semiconductor materials and structures investigated by all Australian semiconductor-growing groups. Growers and device engineers will be able to control growth processes accurately and correlate device performance with structural analysis. Modern triple-axis instruments can also be used for high-resolution texture analysis and surface reflectivity measurements on numerous types of materials. Thus chemists, geologists, and materials scientists with interests outside of the semiconductor growth community will gain substantial benefit from this instrument for the investigation of materials of technological and economic importance.Read moreRead less
Economic Growth and Real Exchange Rates. Exchange rate movements are important elements of Australia's economic environment. Protectionist interests in the US and Europe, constrained by WTO trade rules, accuse East Asian economies of deliberate undervaluation. While exchange rate movements are not readily predictable in the short run, long run changes in underlying real exchange rates are amenable to economic analysis using structural models. The clearer understanding of these forces, toward ....Economic Growth and Real Exchange Rates. Exchange rate movements are important elements of Australia's economic environment. Protectionist interests in the US and Europe, constrained by WTO trade rules, accuse East Asian economies of deliberate undervaluation. While exchange rate movements are not readily predictable in the short run, long run changes in underlying real exchange rates are amenable to economic analysis using structural models. The clearer understanding of these forces, toward which this project is directed, will better guide investment in the region, including in Australia, and more importantly, it will better inform future policy debates surrounding currency movements.Read moreRead less
Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes ....Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes will include the development of new theory in probability and statistics, the initiation and reinforcement of collaborative ties with major international research figures, and the fostering of contacts with the finance industry.Read moreRead less
Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there ....Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there a major changes to existing series, improving the analysis of such series and the decisions based on them.Read moreRead less
Revealing the impacts of super-charged photosynthesis on leaf respiration. This project aims to use state-of-the-art technologies to develop a novel framework that links a super-charged version of photosynthesis (known as C4 photosynthesis) to changes in nocturnal leaf respiration. A quarter of global land photosynthesis occurs in C4 plants that include several important cereal crops. Although advances have been made in modelling C4 photosynthesis, these advances are unable to model variations i ....Revealing the impacts of super-charged photosynthesis on leaf respiration. This project aims to use state-of-the-art technologies to develop a novel framework that links a super-charged version of photosynthesis (known as C4 photosynthesis) to changes in nocturnal leaf respiration. A quarter of global land photosynthesis occurs in C4 plants that include several important cereal crops. Although advances have been made in modelling C4 photosynthesis, these advances are unable to model variations in nocturnal respiration. Expected outcomes include equations that predict respiration in C4 plants growing in current/future climates. Benefits to include knowledge needed to engineer faster-growing crops and providing climate modelers the ability to more accurately predict carbon exchange in C4-dominated ecosystems. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0346878
Funder
Australian Research Council
Funding Amount
$190,000.00
Summary
GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine ....GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine state-of-the-art computational
techniques recently developed at ANU, and high quality data sets
collected over the past decade to address fundamental questions in
the Geosciences.Read moreRead less
Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on s ....Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on sensors, energy, and general mechanical limitations. The project aims to resolve the challenges of deciding what a single vehicle should observe, what and to where it should communicate, and how it should move in relation to what it sees. The conceptual framework developed may also be relevant in guiding future defence acquisitions and civilian applications.Read moreRead less
Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding ....Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding the mechanism behind biological processes.Read moreRead less
Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms dev ....Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms developed are expected to allow straightforward deployment of robotic teams. There are myriad applications for cooperative robotic agents, ranging from surveillance, to environmental monitoring using underwater and aerial drone formations – with an array of benefits and impacts including economic, commercial and societal. The results are intended to ensure and cement Australia’s front-line position in the current technological revolution known as “Industry 4.0”.Read moreRead less