Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results ....Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results will test the generality of principles that have been developed in studies of female mate choice and extend these ideas to address intra-sexual selection operating through opponent assessment.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100174
Funder
Australian Research Council
Funding Amount
$805,000.00
Summary
Urban Analytics Data Infrastructure. Urban analytics data infrastructure:
This project aims to develop an urban analytics data infrastructure that builds on the Australian Urban Research Infrastructure Network. This digital data infrastructure intends to enable the integration, harmonisation, connectivity and scalability of multi-source urban datasets. This infrastructure is required to underpin the next generation of data-driven modelling and decision-support tools to enable the design of smar ....Urban Analytics Data Infrastructure. Urban analytics data infrastructure:
This project aims to develop an urban analytics data infrastructure that builds on the Australian Urban Research Infrastructure Network. This digital data infrastructure intends to enable the integration, harmonisation, connectivity and scalability of multi-source urban datasets. This infrastructure is required to underpin the next generation of data-driven modelling and decision-support tools to enable the design of smart, productive and resilient cities. These capabilities are predicated on the adoption of ISO standards, development of new ontological frameworks and an urban data dictionary to enable semantic inferencing of datasets and the development of data structures and services. This framework would then be applied to data relevant to people, land and urban infrastructure to support comparative and multi-dimensional analytics. Read moreRead less
Novel gas-liquid columns for liquefied natural gas (LNG) production. Novel gas-liquid columns for liquefied natural gas (LNG) production. This project aims to design distillation and absorption columns, perhaps the most important unit operations in a liquefied natural gas (LNG) plant, and whose optimization is integral to overall performance of any LNG plant. This project will use 3D printers to rapidly prototype concepts of columns and their internals, and test them using flow characterization ....Novel gas-liquid columns for liquefied natural gas (LNG) production. Novel gas-liquid columns for liquefied natural gas (LNG) production. This project aims to design distillation and absorption columns, perhaps the most important unit operations in a liquefied natural gas (LNG) plant, and whose optimization is integral to overall performance of any LNG plant. This project will use 3D printers to rapidly prototype concepts of columns and their internals, and test them using flow characterization tools and numerical models. The final outcome of the project will be a set of designs of the columns, which should be more efficient, safer and cheaper to operate, and have smaller physical and environmental footprints, thus helping the Australian LNG industry to stay globally competitive.Read moreRead less
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less
Innovative procurement theories to optimise education per cost of school. Innovative procurement theories to optimise education per cost of school. This project aims to develop a whole-of-life procurement decision-making framework so schools can make delivering better education more cost effective. This framework—which draws on state-of-the-art and Nobel prize-winning theories and a new theory the project will develop—will be used in government and private schools. The effectiveness of this fram ....Innovative procurement theories to optimise education per cost of school. Innovative procurement theories to optimise education per cost of school. This project aims to develop a whole-of-life procurement decision-making framework so schools can make delivering better education more cost effective. This framework—which draws on state-of-the-art and Nobel prize-winning theories and a new theory the project will develop—will be used in government and private schools. The effectiveness of this framework in improving schools will be shown using a new approach to make school facilities deliver educational outcomes and account for their total production and transaction costs. This research is expected to deliver more efficient ways to future-proof schools to create a well performing school system and more resilient infrastructure vital to Australia’s future prosperity.Read moreRead less
The Role Of Capsid Protein Nucleolar Localisation In Chikungunya Virus: Implications For Vaccine Development
Funder
National Health and Medical Research Council
Funding Amount
$520,520.00
Summary
Chikungunya virus (CHIKV) is a globally widespread mosquito-borne alphavirus capable of causing considerable human morbidity and mortality. With no CHIKV vaccine or antiviral available this proposal aims to develop a live attenuated CHIKV vaccine, rationally designed by investigating the host cell nucleolar trafficking of CHIKV capsid protein. This vaccine has the potential to provide cross-protection against additional arthritogenic alphaviruses endemic to Australia such as Ross River virus.
Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected ....Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected outcomes include the
development of software that allows the solution of hitherto unsolved machine
learning problems, and the ability to solve problems larger than those solvable
by the current generation of machine learning tools.Read moreRead less
Understanding mud pumping in heavy haul railroads. This project aims to examine the factors that cause mud pumping and evaluate the effectiveness of sub-surface drainage to prevent rail track instability. Fast heavy haul operations (such as loads used in mining and agriculture) impart repeated loads on the natural formation that can result in mud pumping. If the build-up of water pressure becomes excessive this can cause track failure. Through an experimental program and field study, the mechani ....Understanding mud pumping in heavy haul railroads. This project aims to examine the factors that cause mud pumping and evaluate the effectiveness of sub-surface drainage to prevent rail track instability. Fast heavy haul operations (such as loads used in mining and agriculture) impart repeated loads on the natural formation that can result in mud pumping. If the build-up of water pressure becomes excessive this can cause track failure. Through an experimental program and field study, the mechanisms of mud pumping, incorporating train loads and frequencies, will be studied, and the role of vertically installed drains will be quantified for improved practical design. The project aims to contribute to improved track longevity and reduced maintenance costs, with a corresponding boost in rail productivity.Read moreRead less
Innovative learning environments and teacher change. This project aims to bridge a gap between the educational potential of innovative learning environment designs, and their actual performance. Currently, multi-modal technology-enabled spaces are not producing demonstrable benefits for students. Many teachers resist altering their mindset about how students learn effectively in these spaces and thus how teachers should teach differently. The project aims to work with schools, government and ind ....Innovative learning environments and teacher change. This project aims to bridge a gap between the educational potential of innovative learning environment designs, and their actual performance. Currently, multi-modal technology-enabled spaces are not producing demonstrable benefits for students. Many teachers resist altering their mindset about how students learn effectively in these spaces and thus how teachers should teach differently. The project aims to work with schools, government and industry to analyse the relationships between quality teaching and effective use of innovative learning environments. The new understanding gained through the project is expected to guide developments in pedagogy, policy and design and to produce strategies to improve learning in schools across Australia and New Zealand.Read moreRead less
Infill Developments: Project HOME (Housing Outcomes Metrics and Evaluation). The project plans to improve housing outcomes by evaluating housing design in the rapidly growing infill multi-residential sector, which often experiences design quality problems. Set across four global cities, the project aims to use a unique combination of design and social science methods to analyse good design and how this is produced and experienced. It is expected that this will deliver greater definition of and e ....Infill Developments: Project HOME (Housing Outcomes Metrics and Evaluation). The project plans to improve housing outcomes by evaluating housing design in the rapidly growing infill multi-residential sector, which often experiences design quality problems. Set across four global cities, the project aims to use a unique combination of design and social science methods to analyse good design and how this is produced and experienced. It is expected that this will deliver greater definition of and evidence for ‘good’ design as experienced through the real lives of Australian households. Outcomes should include robust design evaluation methods and transition strategies for cities, allowing city decision-makers to improve housing design for many people in Australian cities.Read moreRead less