Reducing Blackout Risk through Live Modelling and Monitoring. This project aims to reduce the risk of blackouts through the development of on-line systems for modelling and monitoring of loads and power system controllers. This project is a collaboration with Transgrid, Powerlink, Vencorp and ElectraNetSA, four Transmission companies renowned for innovation in the area of system stability. The project proposes to develop innovative algorithms and to implement these algorithms using advanced hard ....Reducing Blackout Risk through Live Modelling and Monitoring. This project aims to reduce the risk of blackouts through the development of on-line systems for modelling and monitoring of loads and power system controllers. This project is a collaboration with Transgrid, Powerlink, Vencorp and ElectraNetSA, four Transmission companies renowned for innovation in the area of system stability. The project proposes to develop innovative algorithms and to implement these algorithms using advanced hardware, software and communication systems to dynamically generate decision tools for safe and efficient power system operating conditions. These systems will also generate alarms if any risky operational situations arise.Read moreRead less
The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050
Funder
Australian Research Council
Funding Amount
$570,000.00
Summary
Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosio ....Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosion and odour management a problem. Innovative control methodology will simultaneously manipulate chemical dosing unit(s) and selected sewage pumping station(s), based on real-time prediction of sewage flows and characteristics both at sources and across the network, to ensure optimal delivery of dosed chemicals to mitigate hydrogen sulphide.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100066
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Collaborative embodied movement design network. This project aims to create a national collaborative network of arts/technology researchers to study the creative potential of movement-based human computer interaction systems. Movement-based technologies such as augmented and virtual reality, haptic and robotic interfaces form the cutting edge of human computer interaction development. This project will develop new infrastructure to enable researchers to work together to improve these systems fro ....Collaborative embodied movement design network. This project aims to create a national collaborative network of arts/technology researchers to study the creative potential of movement-based human computer interaction systems. Movement-based technologies such as augmented and virtual reality, haptic and robotic interfaces form the cutting edge of human computer interaction development. This project will develop new infrastructure to enable researchers to work together to improve these systems from an embodied perspective. This is expected to benefit industry, commerce, education, health care and the arts.Read moreRead less
Development of a vaccine to protect koalas against koala retrovirus (KoRV). This project aims to develop a vaccine against koala retrovirus (KoRV) to arrest the increasing loss of animals due to this infection. Along with Chlamydia, KoRV threatens the long-term survival of the koala. KoRV infects over 95 per cent of Australia’s koalas and has been strongly linked to lymphoma and leukemia. Although quarantine and antiretroviral drug treatment are possible control measures, they are impractical in ....Development of a vaccine to protect koalas against koala retrovirus (KoRV). This project aims to develop a vaccine against koala retrovirus (KoRV) to arrest the increasing loss of animals due to this infection. Along with Chlamydia, KoRV threatens the long-term survival of the koala. KoRV infects over 95 per cent of Australia’s koalas and has been strongly linked to lymphoma and leukemia. Although quarantine and antiretroviral drug treatment are possible control measures, they are impractical in the wild, leaving vaccination as the only realistic option. This is valuable for both wild and captive koalas; zoos report high animal losses due to KoRV-associated lymphoma. The main outcome will be a KoRV vaccine which can be combined with a Chlamydia vaccine which is being developed in parallel.Read moreRead less