Improving engagement in learning and transition to mainstream schooling for newly-arrived Sudanese youth in the middle years of schooling. The 'new wave' of Sudanese refugees (48.3% of 2003 intake) with disrupted educational and social/emotional backgrounds is currently challenging Australian schools' expertise and resources. Using frameworks that draw on cultural theory, identity and language, the study will explore the social capital needs (skills and capacities, and resource needs) of Sudanes ....Improving engagement in learning and transition to mainstream schooling for newly-arrived Sudanese youth in the middle years of schooling. The 'new wave' of Sudanese refugees (48.3% of 2003 intake) with disrupted educational and social/emotional backgrounds is currently challenging Australian schools' expertise and resources. Using frameworks that draw on cultural theory, identity and language, the study will explore the social capital needs (skills and capacities, and resource needs) of Sudanese middle-schooling students enabling successful, productive and engaged transition from their on-arrival program into mainstream secondary schooling. The resulting model and web-based materials will provide a framework for educating other groups likely to follow from Africa/elsewhere, and meet the National Priority Goal: strengthening Australia's social fabric.Read moreRead less
Detecting language disorder in children with a language background other than English: the role of the Dynamic Assessment. 17.6% of Australia's culturally diverse population are born in non-English speaking countries. Recently, reports of unprecedented growth in the diagnosis of children with language disorders have emerged. There are difficulties in accurately identifying children at risk of language disorder. We hypothesize that some children with language backgrounds other than English (LBOTE ....Detecting language disorder in children with a language background other than English: the role of the Dynamic Assessment. 17.6% of Australia's culturally diverse population are born in non-English speaking countries. Recently, reports of unprecedented growth in the diagnosis of children with language disorders have emerged. There are difficulties in accurately identifying children at risk of language disorder. We hypothesize that some children with language backgrounds other than English (LBOTE) are mis-identified. If true, then scarce resources are being misdirected and inappropriately allocated, depriving children with true language disorder of support and intervention. The aim of this project is to determine the utility of the Dynamic Assessment to discriminate normal language learning from language learning difficulties in LBOTE children.
Read moreRead less
Development of an active noise control system for sleeper seats on large commercial aircraft. Possible avenues will be investigated to actively reduce aircraft cabin noise experienced by passengers in sleeper seats, using localised active noise control (ANC). Previous work has focused on headsets and upright seat headrests which represent a different problem to the partially enclosed sleeper seats considered here. Efficiency and robustness problems that affect existing ANC systems will be addres ....Development of an active noise control system for sleeper seats on large commercial aircraft. Possible avenues will be investigated to actively reduce aircraft cabin noise experienced by passengers in sleeper seats, using localised active noise control (ANC). Previous work has focused on headsets and upright seat headrests which represent a different problem to the partially enclosed sleeper seats considered here. Efficiency and robustness problems that affect existing ANC systems will be addressed. A prototype system will be produced for a business class sleeper seat in a wide body aircraft. A second outcome is the establishment of a robust integrated system design procedure that can be used to quickly develop ANC systems for future designs.Read moreRead less
Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminate ....Data Fusion Techniques for Electro-Mechanical Braking Systems. The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminated by accurate estimation of the clamp force signal, through fusion of more readily available measurements. Development of the proposed data fusion techniques influences the design of future EMBs and enhances the functionality of existing brake-by-wire systems.Read moreRead less
Compositional determination of liquefied petroleum gas: Improving engine cold start performance in multipoint LPG-injected engines. Unlike gasoline, the composition of liquefied petroleum gas (LPG) is subject to change depending on a variety of factors including reservoir location and local market pricing. During normal automotive multipoint injection engine operation, closed loop feedback from engine sensors allows the effects of the compositional variations to be overcome and the engine to ope ....Compositional determination of liquefied petroleum gas: Improving engine cold start performance in multipoint LPG-injected engines. Unlike gasoline, the composition of liquefied petroleum gas (LPG) is subject to change depending on a variety of factors including reservoir location and local market pricing. During normal automotive multipoint injection engine operation, closed loop feedback from engine sensors allows the effects of the compositional variations to be overcome and the engine to operate close to optimal levels. However during cold start, the feedback sensors are not operational, and engine performance may deteriorate due to unknown fuel composition - in the worst case the engine may not start at all. This project aims to develop unique methods of estimating the composition of LPG based on existing sensor information to improve performance during cold start.Read moreRead less
Scaling Up Satellite Communications for the Internet of Things. The Internet of Things (IoT) is a revolution in sensing and automation that is becoming vital for industries including farming and mining. However, in remote areas, it is especially challenging to connect the large numbers of devices needed. This project will develop novel signal processing and communications approaches to deliver high quality data services to vast numbers of remote IoT devices, distributed over continental scales c ....Scaling Up Satellite Communications for the Internet of Things. The Internet of Things (IoT) is a revolution in sensing and automation that is becoming vital for industries including farming and mining. However, in remote areas, it is especially challenging to connect the large numbers of devices needed. This project will develop novel signal processing and communications approaches to deliver high quality data services to vast numbers of remote IoT devices, distributed over continental scales connected via low earth orbit (LEO) satellite constellations. It will provide the tools for LEO satellite service providers to dimension their networks and assist IoT providers to scale their remote sensor networks and IoT deployments, with ever increasing demand on the limited satellite bandwidth.Read moreRead less
Accurate Location Service for 3G Cellular Networks. The project aims to improve the accuracy of automatic location identification of GPS enabled handsets in third-generation cellular networks via a modified Differential GPS method. The proposed sub-metre location ability will be a value-added service of the network providers and will appeal to a wide sector of users. The challenge is to develop a cost effective solution by utilising existing network infrastructure. We propose to use the GPS timi ....Accurate Location Service for 3G Cellular Networks. The project aims to improve the accuracy of automatic location identification of GPS enabled handsets in third-generation cellular networks via a modified Differential GPS method. The proposed sub-metre location ability will be a value-added service of the network providers and will appeal to a wide sector of users. The challenge is to develop a cost effective solution by utilising existing network infrastructure. We propose to use the GPS timing units in 3G networks for deriving local GPS position corrections; and to transfer these corrections to the users via the 3G data bursts of the beacons or other user data broadcasts.Read moreRead less
Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Probing the Tasmanian Devil Serum Proteome for Preclinical Diagnosis of Devil Facial Tumour Disease. The Tasmanian Devil (Sarcophilus harrisii) is a carnivorous marsupial endemic to the island state of Tasmania, and is found all over the state. Over the past decade, a dramatic decline has occurred in the Devil population in association with the emergence of Devil Facial Tumour Disease (DFTD). This project aims to develop a preclinical diagnostic test for DFTD that will provide vital information ....Probing the Tasmanian Devil Serum Proteome for Preclinical Diagnosis of Devil Facial Tumour Disease. The Tasmanian Devil (Sarcophilus harrisii) is a carnivorous marsupial endemic to the island state of Tasmania, and is found all over the state. Over the past decade, a dramatic decline has occurred in the Devil population in association with the emergence of Devil Facial Tumour Disease (DFTD). This project aims to develop a preclinical diagnostic test for DFTD that will provide vital information for use in developing management strategies to ensure the ongoing survival of the Tasmanian Devil. The benefit to Australia in performing this research rests in the new technology that will be developed and the application of this technology to key areas of national and international significance.Read moreRead less
Automatic speech-based assessment of mental state via mobile device. This project aims to create the first mobile, device-based automatic assessment of mental state from acoustic speech. Focusing on novel approaches for eliciting speech, for regression-based scoring of mental state and for longitudinal modelling of speech, the project takes speech processing out of the laboratory and into realistic environments. The project is significant because elicitation approach and longitudinal modelling h ....Automatic speech-based assessment of mental state via mobile device. This project aims to create the first mobile, device-based automatic assessment of mental state from acoustic speech. Focusing on novel approaches for eliciting speech, for regression-based scoring of mental state and for longitudinal modelling of speech, the project takes speech processing out of the laboratory and into realistic environments. The project is significant because elicitation approach and longitudinal modelling have been acknowledged by the research community as challenges that are valuable to investigate, and because conventional regression methods are sub-optimal on ordinal mental state scales. This is significant commercially because mobile devices allow individually tailored, frequent and low-cost mental state assessment. Expected outcomes will include commercial-ready technology, trialled on Australians, accessible to everyone with a mobile device and concentration of Australian research and development capability in a rapidly growing application area.Read moreRead less