Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critic ....Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critical but costly tool for acquiring this data. This project anticipates that airborne spatial tracking using intelligent spatial tracking algorithms on board low cost UAV teams will allow more precise understanding of wildlife for evidence-based conservation and management in a changing global climate.Read moreRead less
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
Interacting with visualisations of extremely large graph structures on large displays. The latest technological progressions have delivered very large data sets that can be modelled as graphs or networks. Examples include: social networks, biological data, and software structures. This project will develop techniques to allow users to visualise the graphs in the entirety and directly interact with data.
Validation and Verification of Electronic Evidence: Developing a Testing Regime for Digital Forensic Software Reliability. Law Enforcement is analysing an exponentially-increasing quantity of Electronic Evidence - a 100,000 fold increase was experienced by the NSW police in the last decade. This is clear indication that computer related evidence is now an essential component of traditional crime investigation as well as computer crime. We intend to streamline the investigative process. This can ....Validation and Verification of Electronic Evidence: Developing a Testing Regime for Digital Forensic Software Reliability. Law Enforcement is analysing an exponentially-increasing quantity of Electronic Evidence - a 100,000 fold increase was experienced by the NSW police in the last decade. This is clear indication that computer related evidence is now an essential component of traditional crime investigation as well as computer crime. We intend to streamline the investigative process. This can only occur with the development of a validation framework from which we can build a testing regime to establish reliability of forensic tools and therefore the forensic investigative processes. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100572
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Collaborative information seeking and its application in tourism. The project aims to better understand group behaviour of information seeking. Collaboration is an essential aspect of modern life; collaborative work, including tourism, encompasses obtaining and using information. However, most information behaviour models focus on the individual seeker of information, rather than on improving collaboration and team performance. The project builds models and develops guidelines for understanding ....Collaborative information seeking and its application in tourism. The project aims to better understand group behaviour of information seeking. Collaboration is an essential aspect of modern life; collaborative work, including tourism, encompasses obtaining and using information. However, most information behaviour models focus on the individual seeker of information, rather than on improving collaboration and team performance. The project builds models and develops guidelines for understanding and supporting collaborative information seeking behaviour in the context of tourism. Making it easier for tourists to find information is expected to benefit the Australian tourism industry.Read moreRead less
Managing uncertainty in RFID traceability networks. Australia suffers 5.4 million cases of food-borne illness every year, which leads to 2.1 million days of lost work, 1.2 million people visiting a doctor, and 120 deaths annually. This has revealed the urgent need for improved ways of locating and recalling problematic products that have been released into the community. The project will develop novel techniques driven by Radio Frequency Identification (RFID) technology for improving the effici ....Managing uncertainty in RFID traceability networks. Australia suffers 5.4 million cases of food-borne illness every year, which leads to 2.1 million days of lost work, 1.2 million people visiting a doctor, and 120 deaths annually. This has revealed the urgent need for improved ways of locating and recalling problematic products that have been released into the community. The project will develop novel techniques driven by Radio Frequency Identification (RFID) technology for improving the efficiency and accuracy of product tracking in distribution networks. This project will place Australia at the forefront of RFID research. It will also be an excellent vehicle for educating young researchers and engineers in Australia.Read moreRead less
Continuously learning to see. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods of computer vision and help strengthen Australia's competitiveness in this important area.
A modelling challenge: bridging the gap between molecular and neuronal networks. We will develop innovative frameworks, which unify small-scale molecular activity with electrical signals in branches of brain cells. This research aims to enhance our understanding how molecular scale phenomena influence brain disease, via studying the model dynamics using cutting-edge techniques on a supercomputer. The socio-economic benefits to Australia include: (i) Enhancing Australia's international reputation ....A modelling challenge: bridging the gap between molecular and neuronal networks. We will develop innovative frameworks, which unify small-scale molecular activity with electrical signals in branches of brain cells. This research aims to enhance our understanding how molecular scale phenomena influence brain disease, via studying the model dynamics using cutting-edge techniques on a supercomputer. The socio-economic benefits to Australia include: (i) Enhancing Australia's international reputation for cutting-edge multidisciplinary research; (ii) international collaborations will be strengthened; (iii) outcomes will potentially lead to commercialisation opportunities; (iv) results will ultimately lay the foundations to explore the cellular and molecular origin of brain disorders.Read moreRead less
Deep Learning that Scales. Deep learning has dramatically improved the accuracy of a breathtaking variety of tasks in AI such as image understanding and natural language processing. This project addresses fundamental bottlenecks when attempting to develop deep learning applications at scale. First, this project proposes efficient neural architecture search that is orders of magnitude faster than previously reported, abstracting away the most complex part of deep learning. Second, we will desig ....Deep Learning that Scales. Deep learning has dramatically improved the accuracy of a breathtaking variety of tasks in AI such as image understanding and natural language processing. This project addresses fundamental bottlenecks when attempting to develop deep learning applications at scale. First, this project proposes efficient neural architecture search that is orders of magnitude faster than previously reported, abstracting away the most complex part of deep learning. Second, we will design very efficient binary networks, enabling large-scale deployment of deep learning to mobile devices. Thus this project will overcome two primary limitations of deep learning generally, however, and will greatly increase its already impressive domain of practical application.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100129
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Internet of things testbed for creating a Smart City. The Internet of Things Testbed facility replicates the conditions of a city-wide distribution of sensors and data collection applications to model in real time the functioning urban sensing elements of a smart city, translating vast amounts of sensor data into meaningful information and ultimately action.