Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100081
Funder
Australian Research Council
Funding Amount
$220,000.00
Summary
DomeLab: an ultra-high resolution experimental fulldome. DomeLab - an ultra-high resolution experimental fulldome: This project will establish the first ultra-high resolution (4000 x 4000 pixels) experimental fulldome in Australia (DomeLab). This fulldome facility will provide a powerful immersive dome-based video projection environment. Partners will work collaboratively across three themes: interactive media, future museology and experimental humanities. Through the national research services ....DomeLab: an ultra-high resolution experimental fulldome. DomeLab - an ultra-high resolution experimental fulldome: This project will establish the first ultra-high resolution (4000 x 4000 pixels) experimental fulldome in Australia (DomeLab). This fulldome facility will provide a powerful immersive dome-based video projection environment. Partners will work collaboratively across three themes: interactive media, future museology and experimental humanities. Through the national research services AARNet and Intersect's research data storage infrastructure, DomeLab will extend pioneering research in aesthetic frameworks and frontier technologies to benefit artistic, cultural, museological and humanities researchers. DomeLab is designed as a touring system and will be installed throughout the country at leading institutions. Read moreRead less
The Role of the Creative Arts in Regional Australia: A Social Impact Model. This project will address the challenge to effectively target regional arts funding to programs and activities that build capacity and have lasting impact for end-users. It delivers a framework for evaluating the arts, to argue for the arts to be included in a broader understanding of community and national wellbeing and success. This framework will position Australia as an international leader in articulating and respon ....The Role of the Creative Arts in Regional Australia: A Social Impact Model. This project will address the challenge to effectively target regional arts funding to programs and activities that build capacity and have lasting impact for end-users. It delivers a framework for evaluating the arts, to argue for the arts to be included in a broader understanding of community and national wellbeing and success. This framework will position Australia as an international leader in articulating and responding to the social impact of the arts. The research field sites have been chosen in consultation with our partners as communities whose capacity and challenges are reflected throughout much of regional Australia.Read moreRead less
Art in conflict: transforming contemporary art at Australian War Memorial. This project aims to investigate conflicts and compromises arising within official schemes for commissioning Australian contemporary war art, in partnership with the Australian War Memorial (AWM). The AWM has built on its Official War Artist scheme to transform the commissioning of war art, engaging high profile contemporary artists to produce often challenging work. This project will focus on this important yet under-res ....Art in conflict: transforming contemporary art at Australian War Memorial. This project aims to investigate conflicts and compromises arising within official schemes for commissioning Australian contemporary war art, in partnership with the Australian War Memorial (AWM). The AWM has built on its Official War Artist scheme to transform the commissioning of war art, engaging high profile contemporary artists to produce often challenging work. This project will focus on this important yet under-researched national collection of art, placing it at the centre of current discussions around contemporary art and war. The project seeks to continue to transform the AWM’s curatorial approaches and build an enduring digital archive of analysis and interpretation.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Heritage in the limelight: the magic lantern in Australia and the world. The project aims to discover and analyse the large number of glass magic lantern slides that remain under-used in our public collections. International scholarship has recently begun to show that lantern slide shows were a ubiquitous, globalised and formative cultural experience. The project aims to explore the international reach and diversity of this globalised modernist apparatus from the Australian perspective. It plans ....Heritage in the limelight: the magic lantern in Australia and the world. The project aims to discover and analyse the large number of glass magic lantern slides that remain under-used in our public collections. International scholarship has recently begun to show that lantern slide shows were a ubiquitous, globalised and formative cultural experience. The project aims to explore the international reach and diversity of this globalised modernist apparatus from the Australian perspective. It plans to understand how diverse audiences affectively experienced these powerful forms of early media, and to develop ways for today’s Australians to re-experience their magic, invigorating and expanding our cultural heritage.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
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
Early Career Industry Fellowships - Grant ID: IE230100672
Funder
Australian Research Council
Funding Amount
$470,337.00
Summary
Measuring real-time mental workload to improve our Defence capability. This project aims to develop a novel platform for measuring real-time variation in the cognitive workload of humans working with advanced Defence technologies. The project expects to combine innovative statistical techniques with cutting-edge psychological and neuroscience developments to measure and process workload-related brain activity in real-time. Expected outcomes of the project include an enhanced capacity to measure ....Measuring real-time mental workload to improve our Defence capability. This project aims to develop a novel platform for measuring real-time variation in the cognitive workload of humans working with advanced Defence technologies. The project expects to combine innovative statistical techniques with cutting-edge psychological and neuroscience developments to measure and process workload-related brain activity in real-time. Expected outcomes of the project include an enhanced capacity to measure and respond to cognitive workload in the field. This should provide significant benefits such as enhanced performance and safety outcomes, which will provide a strategic advantage to the Australian Defence Force by facilitating the development of advanced technologies that respond to the capabilities of the human user.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Discovery Early Career Researcher Award - Grant ID: DE170101081
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t ....Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.Read moreRead less