Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with ....Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with performance prediction, robust control, and effective implementation. In many practical applications, especially in consumer electronics and medical instruments, the creation of quiet zones is desirable so that in a shared environment people can have their own audio space without physical isolation or using headphones, creating a healthy living and working environment.Read moreRead less
Robust signal processing theory for synthesis and analysis of spatial wavefields. This project will develop breakthrough signal processing techniques applied to wireless communication, defence and surveillance, entertainment systems, and acoustic imaging. The outcomes will produce new products. The project will also provide high quality research training for gifted postgraduate students and postdoctoral researchers.
Industrial Transformation Training Centres - Grant ID: IC160100032
Funder
Australian Research Council
Funding Amount
$3,024,379.00
Summary
ARC Training Centre in Lightweight Automotive Structures. ARC Training Centre in Lightweight Automotive Structures. This training centre aims to train a cohort of industry-focused researchers and to develop new lightweighting technologies, which are key to reducing carbon dioxide (CO2 emissions in transportation. In partnership with domestic and international companies and universities, this centre intends to develop new lightweight materials, advanced manufacturing processes, energy storage des ....ARC Training Centre in Lightweight Automotive Structures. ARC Training Centre in Lightweight Automotive Structures. This training centre aims to train a cohort of industry-focused researchers and to develop new lightweighting technologies, which are key to reducing carbon dioxide (CO2 emissions in transportation. In partnership with domestic and international companies and universities, this centre intends to develop new lightweight materials, advanced manufacturing processes, energy storage designs, and rapid non-destructive evaluation techniques. The intended outcome is to accelerate the transformation of Australia's automotive industry—now facing unprecedented structural adjustment—from vehicle production to export of design and engineering services, high-value products, and novel technology solutions.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.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.
Sensing a complex world: Infinite dimensional observer theory for robots. This project aims to develop the foundational theory and design paradigms to support the new generation of sensor systems crucial to enabling widespread robotic automation in unstructured environments such as mining, agriculture and urban transport. Modern dense robotic sensor modalities such as CMOS (complementary metal oxide semiconductor) sensors, LIDAR and dense acoustic arrays are best modelled as a fine grid of measu ....Sensing a complex world: Infinite dimensional observer theory for robots. This project aims to develop the foundational theory and design paradigms to support the new generation of sensor systems crucial to enabling widespread robotic automation in unstructured environments such as mining, agriculture and urban transport. Modern dense robotic sensor modalities such as CMOS (complementary metal oxide semiconductor) sensors, LIDAR and dense acoustic arrays are best modelled as a fine grid of measurements from an infinite dimensional dynamical system. The project plans to develop infinite dimensional invariant observer theory to formulate implementable algorithms that run in real-time on embedded hardware, providing detailed information that enables robots to undertake tasks that are presently impossible with state-of-the-art sparse sensing paradigms.Read moreRead less
Geometric observer theory for mechanical control systems. The safety and performance of mechatronic systems such as autonomous drone aircraft and submersibles crucially depends on the algorithms controlling the system. By developing novel observer algorithms that are more stable and more robust this project will contribute to the competitiveness of Australian high-tech companies with mechatronic products.