Special Research Initiatives - Grant ID: SR0354880
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Building trust in Australia's infrastructure: dealing with scientific, technological, business, policy and legal issues in information security. Australia is faced with the challenge of engendering trust in, and protecting, the information systems vital to the economic and social development of the nation. This initiative will produce a national direction for research, development and educational activities in information security with particular emphasis on the protection of the national intere ....Building trust in Australia's infrastructure: dealing with scientific, technological, business, policy and legal issues in information security. Australia is faced with the challenge of engendering trust in, and protecting, the information systems vital to the economic and social development of the nation. This initiative will produce a national direction for research, development and educational activities in information security with particular emphasis on the protection of the national interest. It will do so by bringing together for the first time, academic, government and business people from a vast array of backgrounds, and whose interests lie across a spectrum of commercial, legal, policy and research outcomes.Read moreRead less
Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information upda ....Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information updates. The computing challenge is to provide reliable, accurate and timely information to IoT devices. The outcomes of this project will directly be beneficial to a variety of IoT applications in transportation, autonomous vehicles, and smart cities. The valuable engineering insights and novel algorithms will support industry, government, and practitioners for future real-time IoT design and deployments.Read moreRead less
Tools and models for measuring and predicting growth in internet addressing and routing complexity. We analyse patterns in the allocation and actual use of Internet Protocol version 4 (IPv4) addresses to predict the technical and market pressures for deployment of IPv6. The utilisation models will help evaluate the potential for emerging markets in scarce IPv4 address prefixes to increase costs to the end-users of Australia's future national broadband network.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec ....Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100158
Funder
Australian Research Council
Funding Amount
$348,026.00
Summary
A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and ....A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and evaluation of IoT technologies and services. The project will also serve as a vehicle for the education and training of Australia’s next generation of scholars and engineers, and contribute to Australia’s scientific visibility.Read moreRead less
Privacy Preserving Data Sharing in Electronic Health Environment. This project aims to improve access to electronic health data (EHD) while still ensuring patient privacy. EHD can provide important information for medical research and health-care resource allocations. However, data sharing in electronic health environments is challenging because of the privacy concerns of customers. Large-scale unauthorised access from internal staff has been reported in Medicare. This project aims to develop ne ....Privacy Preserving Data Sharing in Electronic Health Environment. This project aims to improve access to electronic health data (EHD) while still ensuring patient privacy. EHD can provide important information for medical research and health-care resource allocations. However, data sharing in electronic health environments is challenging because of the privacy concerns of customers. Large-scale unauthorised access from internal staff has been reported in Medicare. This project aims to develop new privacy-preserving algorithms on EHD database federations, which can provide efficient data access yet block inside attacks. It will significantly improve the data available for medical research, while reducing the cost of EHD system management and providing visualised decision supports to medical staff and the government health resource planners.Read moreRead less
Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans t ....Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans to examine the current and future uses of music usage data in decision-making processes in music organisations, as well as the potential consequences of such use for practitioners and industry stakeholders. The project aims to support the future growth of the Australian music industry.Read moreRead less
Technology Transforming Markets: Large-Scale Field Experiments in Electricity Use. Advances in information technology are transforming electricity markets. Victoria is rolling out ‘smart’ meters, which record half-hourly consumption data. Some retailers also provide web portals that facilitate customer access to this information. Together with an innovative start-up company, this project aims to use large-scale field experiments to evaluate the impact of these technologies on how consumers: use ....Technology Transforming Markets: Large-Scale Field Experiments in Electricity Use. Advances in information technology are transforming electricity markets. Victoria is rolling out ‘smart’ meters, which record half-hourly consumption data. Some retailers also provide web portals that facilitate customer access to this information. Together with an innovative start-up company, this project aims to use large-scale field experiments to evaluate the impact of these technologies on how consumers: use electricity; opt for new pricing plans; and switch retailers. The aims have important implications for environmental policies designed to conserve energy, for consumer choice and welfare, and for retail market competitiveness.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less