Coherent Optical Orthogonal Frequency-Division Multiplexing. Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) incorporates the benefits of OFDM to compensate for distortion and monitor the channel conditions in long-haul optical links. The advantages of CO-OFDM can help meet the challenges of future optical networks that Australia depends upon for its information infrastructure and economic growth. Australia is currently at the forefront of optical OFDM technology, and the ....Coherent Optical Orthogonal Frequency-Division Multiplexing. Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) incorporates the benefits of OFDM to compensate for distortion and monitor the channel conditions in long-haul optical links. The advantages of CO-OFDM can help meet the challenges of future optical networks that Australia depends upon for its information infrastructure and economic growth. Australia is currently at the forefront of optical OFDM technology, and the continuation of these research activities will further improve Australia's international ICT reputation. Furthermore, in the course of the project, a senior research associate and multiple highly-skilled students will be trained and exposed to techniques and innovations in this exciting field.Read moreRead less
Developing a Smart Monitoring System for Leakage Currents from Insulators on Wooden Poles. Numerous wooden poles are used for electricity power transmission in urban and rural areas of Australia. Insulators suspended on poles are subject to contamination and moisture that cause partial discharge currents to flow through the wooden poles, resulting in pole fires leading to loss of power to customers and possible bush fires. This project aims at studying the characteristics of leakage currents fr ....Developing a Smart Monitoring System for Leakage Currents from Insulators on Wooden Poles. Numerous wooden poles are used for electricity power transmission in urban and rural areas of Australia. Insulators suspended on poles are subject to contamination and moisture that cause partial discharge currents to flow through the wooden poles, resulting in pole fires leading to loss of power to customers and possible bush fires. This project aims at studying the characteristics of leakage currents from insulators on wooden poles in Australian conditions and developing a smart monitoring system to detect and prevent pole fires caused by leakage currents. The outcomes will reduce the risk of pole fires, hence improving public safety, reliability of power supply and sustainability of the Australian power industry.Read moreRead less
Analysis and Design of Multi-objective Optimal Multirate Filter Banks. Multirate filter banks are a fundamental subsystem and play a key role in many applications in information technology, such as digital communications and digital audio and video signal processing. Most of the existing design methods of multirate filter banks are based on idealized operation conditions, so often they do not provide practically desirable performance. This project will develop innovative design methods for multi ....Analysis and Design of Multi-objective Optimal Multirate Filter Banks. Multirate filter banks are a fundamental subsystem and play a key role in many applications in information technology, such as digital communications and digital audio and video signal processing. Most of the existing design methods of multirate filter banks are based on idealized operation conditions, so often they do not provide practically desirable performance. This project will develop innovative design methods for multirate filter banks under the worst operational conditions and multiple conflicting design objectives. The results will fill in the gap between the theoretical design and the practical requirements to provide enhanced performance of systems using multirate filter banks.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
Resource-aware Signal Processing and Control Algorithms for Networked Sensor Systems. Networked sensing and control is an important technology for Australia's future. Applications range from monitoring wildlife habitats to safety management of large civil structures. This project will lead to sustainable engineering solutions for these applications and provide key fundamental performance limits. Beyond the creation of new theory and algorithms, the national and community benefits will include: ....Resource-aware Signal Processing and Control Algorithms for Networked Sensor Systems. Networked sensing and control is an important technology for Australia's future. Applications range from monitoring wildlife habitats to safety management of large civil structures. This project will lead to sustainable engineering solutions for these applications and provide key fundamental performance limits. Beyond the creation of new theory and algorithms, the national and community benefits will include: (i) enhancement of Australia's reputation for innovative Engineering research through quality publications and international collaborations; and (ii) improvement of the research and development capability in the ICT sector through rigorous training of postgraduate students and postdoctoral fellows.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
Modelling and estimation methods for discrete multi-dimensional systems. Multi-dimensional signal processing plays a role in a variety of application areas, ranging from remote sensing for environmental monitoring and geological mapping, to medical imaging and the automatic control of industrial processes. The success of the project will provide mathematical tools for the advancement of the state-of-the-art in these broad areas.
Modelling, Analysis and Synthesis Tools for Multi-Dimensional Signal Processing Systems. Multi-dimensional signal processing plays a role in a variety of application areas, ranging from remote sensing for environmental monitoring and geological mapping, to medical imaging and the automatic control of industrial processes. The success of this project will provide mathematical tools for the advancement of the state-of-the-art in these broad areas.
Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to ....Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to solve inverse problems is expected to advance technology toward lower power, lower cost solutions for MRI scanners in healthcare and industrial applications, including materials science and mineral processing.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