Electrically conductive elastomeric composites by nanomaterials. Electrically conductive elastomeric composites by nanomaterials. This project aims to develop electrically conductive, mechanically robust, cost-effective elastomeric composites, by exploring new processing methods and studying the synergy between graphene sheets and multi-walled carbon nanotubes. Composites will be design, research and manufactured to suit the fabrication of rolling-resistance sensors that detect early-stage malfu ....Electrically conductive elastomeric composites by nanomaterials. Electrically conductive elastomeric composites by nanomaterials. This project aims to develop electrically conductive, mechanically robust, cost-effective elastomeric composites, by exploring new processing methods and studying the synergy between graphene sheets and multi-walled carbon nanotubes. Composites will be design, research and manufactured to suit the fabrication of rolling-resistance sensors that detect early-stage malfunctioning idler rolls. This technology could prevent the breakage of conveyor belts which are essential to the mining, processing and transportation of loose bulk materials; and improve the design and manufacturing of flexible sensors.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.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
Robust and scalable change detection in geo-spatial data. A flood of data in the form of text, images and video emanate from a proliferation of sensors. These data are collected but rarely analysed, rendering it meaningless. This project aims to develop new software and techniques to detect changes over time in large scale geographically referenced data (for example photomaps) for use across numerous domains.
Manufacturing high value carbon products and chemicals from spent tyres. Manufacturing high value carbon products and chemicals from spent tyres. This project aims to develop an innovative and integrated thermochemical process for use of spent tyres. Australia disposes of more than 400,000 tonnes of spent tyres per annum in landfills, stockpiles and random dumping, incurring significant environmental hazards, serious health risks and wastage of resources. This research is expected to result in n ....Manufacturing high value carbon products and chemicals from spent tyres. Manufacturing high value carbon products and chemicals from spent tyres. This project aims to develop an innovative and integrated thermochemical process for use of spent tyres. Australia disposes of more than 400,000 tonnes of spent tyres per annum in landfills, stockpiles and random dumping, incurring significant environmental hazards, serious health risks and wastage of resources. This research is expected to result in new knowledge of the thermal behaviour of rubber and new techniques to identify, extract and use high value carbon materials and chemicals from thermochemical processing of spent tyres. The research outcomes are expected to provide a technological foundation for an emerging industry for environmentally responsible and economically self-sustaining use of spent tyres.Read moreRead less
Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Creating a national time and frequency network for Australia. This project will develop the means to distribute accurate time and frequency across the Australian continent via an optical fibre network. This network will meet the needs of future telecommunications, science and astronomy projects including the Australian bid for the Square Kilometre Array radio-astronomy project.
Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emer ....Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emergency services. This new capability enhances utilisation of security resources to prevent injury and fatalities in evacuation scenarios, applicable to existing venues and influencing the development of new facilities around the country. The project delivers researcher training, global clientele for local technology and a platform for local industry growth.Read moreRead less
Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures. SCADA systems are computerized systems that control and monitor industrial and critical infrastructures, such as power grid, gas and water facilities and nuclear power plants. Many cyber-attacks on SCADA systems make such systems vulnerable. Also there is an increasing risk that SCADA vulnerabilities could be exploited by terrorist organizations. The security of SCADA systems of critical infrastructures ha ....Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures. SCADA systems are computerized systems that control and monitor industrial and critical infrastructures, such as power grid, gas and water facilities and nuclear power plants. Many cyber-attacks on SCADA systems make such systems vulnerable. Also there is an increasing risk that SCADA vulnerabilities could be exploited by terrorist organizations. The security of SCADA systems of critical infrastructures has enormous and direct impact to our national security, economy and social life because of potential disasters that could happen from natural causes as well as malicious attacks. This project aims to investigate the relevant issues and provide efficient and reliable technological solutions to detect and prevent such problems.Read moreRead less
International partnership in robotic astronomy and gravitational wave data analysis using a supercomputer. The project is aimed at providing student participation in frontier research using robotic astronomy and novel data analysis methods. It will focus on the study of the most violent explosions in the Universe - cosmological gamma ray bursts. These cataclysmic events possibly herald the formation of the most exotic objects in the Universe - black holes. It provides an exciting opportunity for ....International partnership in robotic astronomy and gravitational wave data analysis using a supercomputer. The project is aimed at providing student participation in frontier research using robotic astronomy and novel data analysis methods. It will focus on the study of the most violent explosions in the Universe - cosmological gamma ray bursts. These cataclysmic events possibly herald the formation of the most exotic objects in the Universe - black holes. It provides an exciting opportunity for students to be trained in robotic astronomy, supercomputing, image analysis and signal processing.Read moreRead less