Reconciliation strategies for continuous variable quantum key distribution. This project aims to advance a novel key distribution method, called quantum key distribution, which distributes secure keys using the quantum state of optical channels. Key distribution is a foundational part of data security, allowing digital keys to be securely exchanged between two or more parties, before they are used to protect and share information. The expected outcome is new rateless error correction codes desi ....Reconciliation strategies for continuous variable quantum key distribution. This project aims to advance a novel key distribution method, called quantum key distribution, which distributes secure keys using the quantum state of optical channels. Key distribution is a foundational part of data security, allowing digital keys to be securely exchanged between two or more parties, before they are used to protect and share information. The expected outcome is new rateless error correction codes designed specifically to implement quantum key distribution over long distances. Quantum key distribution is beneficial for ultra-secure communications as it avoids the vulnerability to weak random numbers and quantum-computing brute force attacks that currently threated the security of data protected by existing methods. Read moreRead less
Subject-specific computational models for accurate evaluation of muscle function in human locomotion. The purpose of this project is to advance current understanding of muscle function during human locomotion. The most significant outcome will be the development of novel computational tools that can play a pivotal role in the healthcare industry through the prevention, diagnosis and treatment of movement disorders.
New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information o ....New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information on these variations using data from large-scale national and state surveys. This will lead to significant improvements in the data available for small population groups and small areas, allowing better targeting of policies aimed at addressing local differences.Read moreRead less
Handling Missing Data in Complex Household Surveys. The Australian Bureau of Statistics (ABS) has an extensive program of household surveys that is a key source of information on the social and economic conditions of the population. They provide statistics and data on a large range of social and economic topics, such as health, education, the labour force, income and expenditure. Analysis of household survey data by a variety of organisations underpins policy development and evaluation and the e ....Handling Missing Data in Complex Household Surveys. The Australian Bureau of Statistics (ABS) has an extensive program of household surveys that is a key source of information on the social and economic conditions of the population. They provide statistics and data on a large range of social and economic topics, such as health, education, the labour force, income and expenditure. Analysis of household survey data by a variety of organisations underpins policy development and evaluation and the expenditure of billions of dollars. This project will substantially improve the cost-efficiency and reliability of Australian household survey data, by creating new approaches for handling missing data that deal with the realities of typical household surveys.Read moreRead less
Using Heart Rate Variability measurements to identify the effects of stress on decision making. Rationality and the willingness to cooperate is an important aspect of human decision making. Research shows that certain decisions not only cause stress but are also affected by it. Using modern mobile heart rate monitors, we are able to measure causes and consequences of stress in a controlled and natural environment. This research will help to provide better workplace environments by helping to des ....Using Heart Rate Variability measurements to identify the effects of stress on decision making. Rationality and the willingness to cooperate is an important aspect of human decision making. Research shows that certain decisions not only cause stress but are also affected by it. Using modern mobile heart rate monitors, we are able to measure causes and consequences of stress in a controlled and natural environment. This research will help to provide better workplace environments by helping to design better organisations, decreasing the probability of workplace accidents, and advising employees how to better use their talents. This research also helps put Australia on the forefront of modern economic research that aims to open the ultimate "black box" of human decision making.Read moreRead less
Art in conflict: transforming contemporary art at Australian War Memorial. This project aims to investigate conflicts and compromises arising within official schemes for commissioning Australian contemporary war art, in partnership with the Australian War Memorial (AWM). The AWM has built on its Official War Artist scheme to transform the commissioning of war art, engaging high profile contemporary artists to produce often challenging work. This project will focus on this important yet under-res ....Art in conflict: transforming contemporary art at Australian War Memorial. This project aims to investigate conflicts and compromises arising within official schemes for commissioning Australian contemporary war art, in partnership with the Australian War Memorial (AWM). The AWM has built on its Official War Artist scheme to transform the commissioning of war art, engaging high profile contemporary artists to produce often challenging work. This project will focus on this important yet under-researched national collection of art, placing it at the centre of current discussions around contemporary art and war. The project seeks to continue to transform the AWM’s curatorial approaches and build an enduring digital archive of analysis and interpretation.Read moreRead less
Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of ....Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
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Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th ....Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.Read moreRead less
The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormou ....The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormous. Any developed or developing country will profit from such advanced decision-making approaches. Therefore it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial investment and other relevant sectors.Read moreRead less
Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical op ....Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical open-channel networks. The main challenges are the development of suitable models for designing outlet-flow control systems, optimization-based outlet-flow scheduling methods for ensuring operation within hydraulic constraints, and system monitoring techniques. This project will design automatic control systems to enable low-energy water distribution from open-channels to end-users by pipes.Read moreRead less