Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant wea ....Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant weaknesses. We will deliver considerable improvements in monitoring capability by developing the technology for using a network of small phased array radars. We aim to place monitoring resources where end-user needs are greatest.Read moreRead less
A Novel Inline High-Efficiency Motor/Pump System. Around 19% of the world’s and 30% of the Australia’s electric energy is consumed by pump technologies. Significant energy savings are possible if the major components of pump systems, including inverter, motor and pump, operate at their maximum possible efficiency under varying loads. A novel pump design in this project accommodates integrated electronics in a submersible housing. A seal-less design helps mitigate several aspects of pump failure ....A Novel Inline High-Efficiency Motor/Pump System. Around 19% of the world’s and 30% of the Australia’s electric energy is consumed by pump technologies. Significant energy savings are possible if the major components of pump systems, including inverter, motor and pump, operate at their maximum possible efficiency under varying loads. A novel pump design in this project accommodates integrated electronics in a submersible housing. A seal-less design helps mitigate several aspects of pump failure and its in-line structure reduces assembly cost. Accurately measured efficiency maps will be utilised to demonstrate the non-linear relationship between motor and pump quantities as well as developing models for indirectly estimating feedback quantities and achieving the highest system efficiency.Read moreRead less
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
New perspectives on computing methods for mathematical signal processing. This project determines how best to design computing methods for challenging demands in signal processing. The expected conceptual & algorithmic advances will have significant repercussions in a number of fields including optimal filtering theory and will contribute to applications ranging from bio-informatics to electrical engineering. The new techniques will allow development of software that will benefit Australian in ....New perspectives on computing methods for mathematical signal processing. This project determines how best to design computing methods for challenging demands in signal processing. The expected conceptual & algorithmic advances will have significant repercussions in a number of fields including optimal filtering theory and will contribute to applications ranging from bio-informatics to electrical engineering. The new techniques will allow development of software that will benefit Australian industries and technologies. The formation of a strong research team across four universities in Australia, USA and Japan will enhance our scientific standing in the international community and will place Australian researchers at the forefront of world-class research methods. Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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A lossy compression paradigm for sensory neural coding. By applying new interdisciplinary theoretical results, this research aims to enhance our understanding of how the ear turns sounds into electrical signals in the presence of high levels of random noise. Socio-economic benefits to Australia include: (i) contributions to the knowledge base of theoretical neuroscience, and communications systems, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of European interna ....A lossy compression paradigm for sensory neural coding. By applying new interdisciplinary theoretical results, this research aims to enhance our understanding of how the ear turns sounds into electrical signals in the presence of high levels of random noise. Socio-economic benefits to Australia include: (i) contributions to the knowledge base of theoretical neuroscience, and communications systems, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of European international collaborations; (iii) outcomes that will ultimately impact on improved designs for bionic ears and future biomedical prosthetics; and (iv) commercialisation and technology transfer opportunities, via the transfer of results to wireless artificial sensor networks.Read moreRead less
Enhanced brain and muscle signal separation verified by electrical scalp recordings from paralysed awake humans. This project will develop algorithms to separate brain signals from muscle signals in electrical recordings from the scalp. Cleaner brain signal measurement enables improvements in understanding how the brain works, the diagnosis and management of neurological diseases, and the development of brain-controlled devices for very disabled people.