Mapping ear morphology to individualised three dimensional audio. The project aims to develop a practical method to derive a listener's individualised Head Related Transfer Functions from two dimensional images of the head and ears. These are essential for generating high-fidelity three dimensional audio. The project will perceptually evaluate and test the proposed system when applied to teleconferencing, surveillance, and navigational guidance.
Individualisation for 3D Audio. The project aim is to allow the general listener to enjoy high-fidelity 3-D sound over headphones. Such 3-D audio is of paramount importance when inter-personal communication requires situational awareness, (eg search and rescue, fire-fighting, and air traffic control). To achieve this, the project aims to address one of the toughest problems in audio signal processing: deriving high-fidelity 3-D audio headphone filters from photos and/or 3D scans of ears. The pro ....Individualisation for 3D Audio. The project aim is to allow the general listener to enjoy high-fidelity 3-D sound over headphones. Such 3-D audio is of paramount importance when inter-personal communication requires situational awareness, (eg search and rescue, fire-fighting, and air traffic control). To achieve this, the project aims to address one of the toughest problems in audio signal processing: deriving high-fidelity 3-D audio headphone filters from photos and/or 3D scans of ears. The project plans to address fundamental research questions in statistical shape and data analysis and to perceptually evaluate the 3-D audio methods developed.Read moreRead less
Nanoscale silicon field-effect transistor diagnostic technology. This project aims to overcome barriers to the implementation of silicon field-effect transistor biosensors. It will investigate the biosensors’ physical and structural properties. This knowledge, combined with technological and conceptual advances, could foster the development of an advanced and translational point-of-care diagnostic technology to rapidly and sensitively detect malignant tissues. Such technology would have commerci ....Nanoscale silicon field-effect transistor diagnostic technology. This project aims to overcome barriers to the implementation of silicon field-effect transistor biosensors. It will investigate the biosensors’ physical and structural properties. This knowledge, combined with technological and conceptual advances, could foster the development of an advanced and translational point-of-care diagnostic technology to rapidly and sensitively detect malignant tissues. Such technology would have commercial potential and important societal benefits.Read moreRead less
Engineering the convergence of telecare and telehealth. This project will design a wrist-worn pendant that represents the convergence of telecare (fall detection and personal alarm pendants) and telehealth (remote management of chronic disease). The system has the potential to be retro-fitted to 100,000s of telecare systems deployed by an industry partner and to herald a new form of low-cost patient monitoring.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100084
Funder
Australian Research Council
Funding Amount
$269,020.00
Summary
Flexible Flame Aerosol Synthesis Technology. Funding is requested to establish a world-leading fabrication facility for nanostructured materials via flame synthesis. This is a scalable fabrication route used for industrial production of most nanoparticle commodities. The aim is to advance current capabilities by providing control over the reaction environment and flame reaction sources. This will extend the range of feasible materials from the current metal oxides to a broad family of nitrides, ....Flexible Flame Aerosol Synthesis Technology. Funding is requested to establish a world-leading fabrication facility for nanostructured materials via flame synthesis. This is a scalable fabrication route used for industrial production of most nanoparticle commodities. The aim is to advance current capabilities by providing control over the reaction environment and flame reaction sources. This will extend the range of feasible materials from the current metal oxides to a broad family of nitrides, sulphides, and metal-organic frameworks, enabling the engineering of electrocatalysts, optoelectronic- and bio-materials. Benefits are expected in terms of fundamental and applied knowledge generation, with impact to the Australian industry sectors of Advanced Manufacturing, Energy and Health.Read moreRead less
A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less
An anti-senescence nanoplatform and its underlying mechanism. The project will bring together complementary expertise and skills by combining biomaterials, cell and molecular biology, and engineering, to develop a novel nano-biomaterial platform for anti-senescence and gain an in-depth understanding of its underlying mechanisms. The underlying mechanisms of senescence remain elusive and bone substitutes with anti-senescence property have not been explored and becoming a growing field of interest ....An anti-senescence nanoplatform and its underlying mechanism. The project will bring together complementary expertise and skills by combining biomaterials, cell and molecular biology, and engineering, to develop a novel nano-biomaterial platform for anti-senescence and gain an in-depth understanding of its underlying mechanisms. The underlying mechanisms of senescence remain elusive and bone substitutes with anti-senescence property have not been explored and becoming a growing field of interest in bone regeneration. The project will develop a well-defined and efficient nanomaterial platform with optimal combination of nano-surface features and chemistry for cell rejuvenation, and it will give unprecedented depth of interdisciplinary understanding of senescence rejuvenation mechanisms.Read moreRead less
Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev ....Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.Read moreRead less
Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that e ....Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plant-wide stability at any feasible set-points or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plant-wide economic objectives in a self-organising manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.Read moreRead less