Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PT ....Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PTSD, without PTSD, and malingered PTSD. This study will lead to a biological assessment that can objectively index PTSD and be resistant to intentional feigning. These data will significantly enhance legal assessments of PTSD and facilitate compensation resolution.Read moreRead less
Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in m ....Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in many of these computer models and develop a novel and innovative design methodology. The success of this project will revolutionize the computational tools for the industry realizing a convenient, robust and time-saving integrated platform catering for increasing future market demand.Read moreRead less
Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.Read moreRead less
Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driv ....Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driven seasonal forecast system using high density climate data from the 17,000 Grain Growers Association members and climate drivers such as sea surface temperature from the Bureau of Meteorology. After validation against observed data, the forecasts will be delivered via a web-based portal to users.Read moreRead less
An MEG (brain imaging) system to study cognitive processing in children. This project introduces the world's first brain imaging system to study cognitive processing in children, using magnetoencephalography (MEG). MEG offers precise measurement of brain activities using a non-invasive, non-contact method. MEG is an ideal brain imaging device for use with children and with special clinical populations. It promises to be valuable (a) for the identification of cortical functions of the human brain ....An MEG (brain imaging) system to study cognitive processing in children. This project introduces the world's first brain imaging system to study cognitive processing in children, using magnetoencephalography (MEG). MEG offers precise measurement of brain activities using a non-invasive, non-contact method. MEG is an ideal brain imaging device for use with children and with special clinical populations. It promises to be valuable (a) for the identification of cortical functions of the human brain prior to surgery, (b) for the diagnosis of loci for developmental and acquired brain disorders, (c) in determining pharmaceutical effects on children, and (d) in the assessment of recovery of sensory and cognitive functions following brain injury. Read moreRead less
An integrated and real-time passenger travel and public transport service information system. This project will help the Department of Transport provide improved services to the public through a better understanding of journey planning demands in comparison to public transport services. By integrating research through design methods with technological solutions, the project will deliver better quality of service and higher customer satisfaction.
Remotely sensed forest water use in space and time. Remotely sensed forest water use in space and time. This project aims to develop and apply new methods to scale forest water use from plot to catchment-level, using relationships between plot-level annual evapotranspiration and biophysical and biochemical properties of stands detectable by unmanned aircraft systems and other remote sensing platforms. Australia's water security depends on understanding how changes in forests from disturbance and ....Remotely sensed forest water use in space and time. Remotely sensed forest water use in space and time. This project aims to develop and apply new methods to scale forest water use from plot to catchment-level, using relationships between plot-level annual evapotranspiration and biophysical and biochemical properties of stands detectable by unmanned aircraft systems and other remote sensing platforms. Australia's water security depends on understanding how changes in forests from disturbance and climate change influence catchment water yields. This project will estimate water yields over time and space in ungauged catchments with disturbed eucalypt forests. This research is expected to enable more effective risk mitigation and planning for augmentations; improved fire management strategies; and better water management of the Murray Darling Basin.Read moreRead less
New methods for mapping variation in forest water use in time and space. Disturbance of eucalypt forests can have dramatic impacts on catchment water yields. In partnership with Melbourne Water Corporation, this project will develop and test new methods for accurate mapping of variation in water use across forested water supply catchments and for accurately determining the effects of this on water supplies.
Design and Control of Sensorless, Brushless, Linear Permanent Magnet Motors for Fluid Pumping. Many machines require reciprocating motion and achieve it by mechanical conversion of rotary motion. In particular, pistons for liquid pumping and gas compression are usually driven by a crank on a rotary electric motor. Driving the piston directly by a linear motor eliminates the cost, weight, inefficiency and wear of the mechanical conversion. This project will design, construct and test high efficie ....Design and Control of Sensorless, Brushless, Linear Permanent Magnet Motors for Fluid Pumping. Many machines require reciprocating motion and achieve it by mechanical conversion of rotary motion. In particular, pistons for liquid pumping and gas compression are usually driven by a crank on a rotary electric motor. Driving the piston directly by a linear motor eliminates the cost, weight, inefficiency and wear of the mechanical conversion. This project will design, construct and test high efficiency, tubular, linear permanent magnet motors for fluid pumping. Further, an intelligent electronic controller will be developed to control the motor speed and reversals without sensors in the motor. Initial applications will be solar powered water pumping and purification.Read moreRead less