Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation syste ....Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation systems and novel approaches to continuous collaborative learning from multi-spectral media. In addition to the emerging partnership between participants, the project will advance sovereign capability to develop maritime intelligence gathering technology for the Royal Australian Navy to underpin stability in our region. 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
Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. ....Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. Building on from earlier work by University of New South Wales, University of Adelaide and GPSat Systems, this project aims to create a system for locating interference and spoofers to GNSS of any power in real time, providing layered monitoring and reactive mitigation solutions against interference and spoofing attacks.Read moreRead less
Development and evaulation of novel foods enriched with very long chain omega-3 fatty acids. This project is a collaborative effort between Meadow Lea Foods, Clover Corporation, and the Universities of Wollongong and Western Australia. The aims are 1) to develop a range of functional foods enriched with omega-3 from tuna oil; 2) to see whether the recommended omega-3 intake, currently nor met by most Australians, can be achieved by including these foods in the diet; 3) to evaluate sensory and he ....Development and evaulation of novel foods enriched with very long chain omega-3 fatty acids. This project is a collaborative effort between Meadow Lea Foods, Clover Corporation, and the Universities of Wollongong and Western Australia. The aims are 1) to develop a range of functional foods enriched with omega-3 from tuna oil; 2) to see whether the recommended omega-3 intake, currently nor met by most Australians, can be achieved by including these foods in the diet; 3) to evaluate sensory and health attributes and other factors that may impact on consumer acceptability hence market potential of the food range. There is little evidence of the feasibility let alone health and social benefits of utilising novel foods to meet the dietary omega-3 recommendation. We expect a) to show how consumers could benefit by using a range of such foods in their customary diet; b) to critically set this achievement within the context of current social trends in food product development. Read moreRead less
Long-term acid rock and tailings drainage mitigation through source control. Effective long-term management of acid rock drainage (ARD) from sulfidic mine wastes in current, exhausted and legacy mine sites is of critical importance to communities and for sustainable mining. An optimised geochemical and microbial multi-barrier approach to long-term reduction of ARD to environmentally acceptable rates will be developed by this project.
Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Maximising the value of Australia’s sheepmeat industry with smart photonics. This project aims to investigate new photonics technologies to measure meat quality in lamb and mutton. It expects to develop new knowledge in the areas of fibre optics and 3D printing for use by the red meat and livestock industries. Expected outcomes of this project include development of a new technology to rapidly identify premium meat during meat processing. This should provide significant benefits for Australia’s ....Maximising the value of Australia’s sheepmeat industry with smart photonics. This project aims to investigate new photonics technologies to measure meat quality in lamb and mutton. It expects to develop new knowledge in the areas of fibre optics and 3D printing for use by the red meat and livestock industries. Expected outcomes of this project include development of a new technology to rapidly identify premium meat during meat processing. This should provide significant benefits for Australia’s red meat industry, helping to establish Australia as a leading supplier of high-quality meat to domestic and international markets.Read moreRead less
Engineered clay-polysaccharide composites for efficient nutrient delivery. Nitrogen (N) nutrient use efficiency of most arable crops in Australian soils is low, leading to excessive application of this nutrient. The low N use efficiency is attributed to its loss through leaching and gaseous emission, which contributes to both economic burden of the farming community and also results in environmental degradation. This project aims to work with clay industries to develop fertiliser products with c ....Engineered clay-polysaccharide composites for efficient nutrient delivery. Nitrogen (N) nutrient use efficiency of most arable crops in Australian soils is low, leading to excessive application of this nutrient. The low N use efficiency is attributed to its loss through leaching and gaseous emission, which contributes to both economic burden of the farming community and also results in environmental degradation. This project aims to work with clay industries to develop fertiliser products with controlled release characteristics to increase N use efficiency and farm productivity. It will also create new market opportunities for the mining industry for the use of clays and create novel materials for delivery of nutrients and moisture for the agrochemical industry resulting in the creation of marketing opportunities.Read moreRead less
Reducing the deleterious impacts of clay particle interactions with valuable minerals in copper and gold processing. This project seeks to understand the rheological behaviour of clay minerals and the effect of the viscosity caused by clay minerals on gas dispersion, the transport of network structures and the locking of the structures in the froth in mineral flotation. Novel methods will be developed to improve flotation separation by reducing the viscosity.
Regrinding chemistry and particle breakage mechanisms in increased surface hydrophobicity on fine and ultra-fine particles in mineral flotation. This project will study the effect of regrinding chemistry and particle breakage mechanisms on the redistribution of flotation collectors and the evolution of the metal oxidation species on mineral surfaces. New technologies will be developed to increase mineral surface hydrophobicity and therefore increase fine and ultra-fine particle flotation.