A New Approach to Air Traffic Management to Deliver Significantly Reduced Environmental Impact and System-wide Efficiencies. Aviation is often cited as a major contributor to harmful emissions in the upper atmosphere. The primary outcome of this project is the development of tools that will enable aviation industry stakeholders to optimise the deployment of 4-Dimensional User Preferred Trajectories across Australian airspace. It is expected that this will result in significant environmental bene ....A New Approach to Air Traffic Management to Deliver Significantly Reduced Environmental Impact and System-wide Efficiencies. Aviation is often cited as a major contributor to harmful emissions in the upper atmosphere. The primary outcome of this project is the development of tools that will enable aviation industry stakeholders to optimise the deployment of 4-Dimensional User Preferred Trajectories across Australian airspace. It is expected that this will result in significant environmental benefit, through reductions in fuel burn for each flight, and increases in system effectiveness. The project will enable better analysis of Australian aviation environmental effect, whilst at the same time allowing the aviation industry to continue to contribute to Australia's sustainable economic growth. Read moreRead less
Highly Multiplexed Fibre Sensor Systems for Structural Health Monitoring and Risk Assessment of Critical Transport Infrastructures. Safeguarding critical transport infrastructures is very much in the interest of Australian government and people. This project is to develop advanced photonic and telecommunication technologies for timely and reliably acquiring and processing key structural performance information. This will reduce structural failures and maintenance costs with reliable data of stru ....Highly Multiplexed Fibre Sensor Systems for Structural Health Monitoring and Risk Assessment of Critical Transport Infrastructures. Safeguarding critical transport infrastructures is very much in the interest of Australian government and people. This project is to develop advanced photonic and telecommunication technologies for timely and reliably acquiring and processing key structural performance information. This will reduce structural failures and maintenance costs with reliable data of structure health monitoring and risk assessment.Read moreRead less
Virtual Collaborative Logistics and Partner to Partner Information Systems. Increasingly there is a tendency around the world for logistics companies that provide transport and warehousing services to band together to share their physical resources so they can extend their reach beyond their current region of operation. When this is coupled with internet ordering and status monitoring one has an e-logistics company that is a virtual logistics provider that gives access to these shared resources ....Virtual Collaborative Logistics and Partner to Partner Information Systems. Increasingly there is a tendency around the world for logistics companies that provide transport and warehousing services to band together to share their physical resources so they can extend their reach beyond their current region of operation. When this is coupled with internet ordering and status monitoring one has an e-logistics company that is a virtual logistics provider that gives access to these shared resources. Such a virtual collaborative logistics consortium requires very strong partner-to-partner IT support and communication. This project investigates the use of XML (Extensible Mark-up Language) enabled mobile software agents to provide this support.Read moreRead less
Efficient processing of large scale multi-dimensional graphs. This project aims to develop novel approaches to process large scale multi-dimensional graphs. The project will focus on the three most representative types of problems against multi-dimensional graphs, namely cohesive subgraph computation, frequent subgraph mining, and subgraph matching. The project outcome will include a set of new theories, novel indexing and data processing techniques, including distributed and single node computa ....Efficient processing of large scale multi-dimensional graphs. This project aims to develop novel approaches to process large scale multi-dimensional graphs. The project will focus on the three most representative types of problems against multi-dimensional graphs, namely cohesive subgraph computation, frequent subgraph mining, and subgraph matching. The project outcome will include a set of new theories, novel indexing and data processing techniques, including distributed and single node computation. The success of the project will significantly contribute to the technology development and the scientific foundation of big graph processing.Read moreRead less
Towards efficient processing of big graphs. This project aims to develop theory and techniques for efficient and scalable processing of Big Graph, a major field in Big Data. The project will focus on primitive graph queries covering many applications. Anticipated outcomes include a set of theories, indexing and data processing (including distributed and approximate) techniques. The success of the project is expected to contribute to the technology development and the scientific foundation of Big ....Towards efficient processing of big graphs. This project aims to develop theory and techniques for efficient and scalable processing of Big Graph, a major field in Big Data. The project will focus on primitive graph queries covering many applications. Anticipated outcomes include a set of theories, indexing and data processing (including distributed and approximate) techniques. The success of the project is expected to contribute to the technology development and the scientific foundation of Big Graph processing.Read moreRead less
Cohesive Subgraph Discovery on Big Bipartite Graphs. This project aims to develop novel technology for efficient and scalable cohesive subgraph discovery on big bipartite graphs, including new theories, indexing techniques, and data processing algorithms. We anticipate addressing key challenges and laying scientific foundations of big graph computation, as well as delivering high-impact technologies. The success of the project will directly benefit the key applications in Australia such as cyber ....Cohesive Subgraph Discovery on Big Bipartite Graphs. This project aims to develop novel technology for efficient and scalable cohesive subgraph discovery on big bipartite graphs, including new theories, indexing techniques, and data processing algorithms. We anticipate addressing key challenges and laying scientific foundations of big graph computation, as well as delivering high-impact technologies. The success of the project will directly benefit the key applications in Australia such as cyber-security, health, bio-informatics, social networks, and E-commerce. The success of the project will also facilitate the training of PhD graduates and postdoctoral research associates in the area of Big Data.
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SmartData: developing intelligent database system for communicating information to aviation and professional vehicle operators: towards safer transport industries. Detriments in human functional state is a major problem in the 'round the clock' transportation industries such as heavy-vehicle industry and aviation. The repetitive and monotonous nature of the tasks in these environments lead to fatigue, inattention and stress. This project proposes a unique and innovative SmartData system that w ....SmartData: developing intelligent database system for communicating information to aviation and professional vehicle operators: towards safer transport industries. Detriments in human functional state is a major problem in the 'round the clock' transportation industries such as heavy-vehicle industry and aviation. The repetitive and monotonous nature of the tasks in these environments lead to fatigue, inattention and stress. This project proposes a unique and innovative SmartData system that will interact with operators and their working environment to counteract detriments in human performance. The proposed SmartData system will have the capabilities of alerting and warning of potentially hazardous situations associated with degradations in human performance. This innovative project aims to improve the safety culture of two major transportation sectors.Read moreRead less
An integrated and real-time passenger travel and public transport service information system. This project will help the Department of Transport provide improved services to the public through a better understanding of journey planning demands in comparison to public transport services. By integrating research through design methods with technological solutions, the project will deliver better quality of service and higher customer satisfaction.