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
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
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
Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance witho ....Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.Read moreRead less
ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, eng ....ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, engineers and physicists, allowing us to translate our discoveries into novel technologies for the social and economic benefit of all Australians. We will also train a new generation of multidisciplinary researchers, and contribute our expertise to a range of public education and awareness programs.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Wideband Strongly-Truncated Composite Cavity-Resonator Antennas. A rapidly growing demand for fast wireless services calls for wideband communication systems with wideband antennas, which are compact, aesthetically appealing and inexpensive, yet have good performance. With novel concepts, this project aims to produce a new class of antennas that deliver impressive performance (bandwidth and gain) while taking up a dramatically reduced area in a way that was impossible before, increasing a figure ....Wideband Strongly-Truncated Composite Cavity-Resonator Antennas. A rapidly growing demand for fast wireless services calls for wideband communication systems with wideband antennas, which are compact, aesthetically appealing and inexpensive, yet have good performance. With novel concepts, this project aims to produce a new class of antennas that deliver impressive performance (bandwidth and gain) while taking up a dramatically reduced area in a way that was impossible before, increasing a figure-of-merit to up to seven times the state-of-the-art. Their planar geometry and simplicity lead to low cost. This is expected to create new knowledge, design methods and examples, prototypes, test results and guidelines required to design, optimise and make these versatile antennas for emerging robust broadband wireless systems.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100116
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
100 Gbit to 1 Terabit per second optical communication test bed facility. This facility will develop and demonstrate novel optical technologies that will underpin the generation and transmission of a higher-speed Ethernet at 100 Gb/s to 1Terabit/s, and will lead to better broadband and more energy efficient internet. At the foundation of this research will be a test bed with multiple signal sources at data rates above 50 Gbaud.
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100062
Funder
Australian Research Council
Funding Amount
$240,000.00
Summary
Universal Optical Transmitter for rapid prototyping and system emulation. Universal optical transmitter for rapid prototyping and system emulation: This Project proposes an integrated, multi-user facility for the generation of extremely wide-bandwidth optical communication signals that will help to dramatically improve the data-handling capability of optical fibres and improve the energy efficiency of optical communication networks. The project will modulate the input of an advanced optical tran ....Universal Optical Transmitter for rapid prototyping and system emulation. Universal optical transmitter for rapid prototyping and system emulation: This Project proposes an integrated, multi-user facility for the generation of extremely wide-bandwidth optical communication signals that will help to dramatically improve the data-handling capability of optical fibres and improve the energy efficiency of optical communication networks. The project will modulate the input of an advanced optical transmitter with multi-level, multi-phase signals at multi-Gb/s rates to generate 'higher-order' modulation formats at multi- terra bits per second rates including orthogonal frequency-division multiplexing (OFDM), Nyquist-wavelength-division multiplexing (WDM), regular WDM and Optical Time-Division Multiplexing (OTDM). With this transmitter the project will investigate advanced optical communications concepts including 'constellations' of phase and intensity, limitations of nonlinearity in optical fibres, signal regeneration, and all-optical routing.Read moreRead less