Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhance ....A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhanced technology. In turn Australian companies using the technology will improve their competitiveness in an increasingly knowledge-based economy by being able to more rapidly and easily deploy knowledge-based systems. Our previous techniques have already had a significant impact in medical practice.Read moreRead less
Neural correlates of performance trade-offs and interference in dual-task performance. Our daily lives are characterised by our ability to produce and sustain a wide range of different movement patterns and to deliberately change patterns as the situation demands. In this project we seek to understand the relationship between brain processes, attentional demands, and the control and learning of coordinated behaviour. A further aim will be to examine how this relationship may be altered as a re ....Neural correlates of performance trade-offs and interference in dual-task performance. Our daily lives are characterised by our ability to produce and sustain a wide range of different movement patterns and to deliberately change patterns as the situation demands. In this project we seek to understand the relationship between brain processes, attentional demands, and the control and learning of coordinated behaviour. A further aim will be to examine how this relationship may be altered as a result of aging, degenerative disease, or brain damage. This research will provide a foundation upon which rehabilitation strategies can be developed for the movement impaired.Read moreRead less
Facilitatory and inhibitory mechanisms during interlimb coordination in young and older adults. The project seeks to understand how people coordinate their limbs and the factors which limit and enhance this capacity. This is of critical importance because coordination is a dominant deficit in aging and in patients suffering brain insult and neurodegenerative diseases. Disruption of this capacity compromises individual work productivity, mobility and independence. Proficient motor functioning is ....Facilitatory and inhibitory mechanisms during interlimb coordination in young and older adults. The project seeks to understand how people coordinate their limbs and the factors which limit and enhance this capacity. This is of critical importance because coordination is a dominant deficit in aging and in patients suffering brain insult and neurodegenerative diseases. Disruption of this capacity compromises individual work productivity, mobility and independence. Proficient motor functioning is an important lifestyle factor as humans age and deficits in coordinated muscle activity will increase the risk of falls which are the leading cause of injury in elderly adults. Identification of changes in brain processes involved in interlimb coordination will allow for the development of strategies to improve motor functions in the aged.Read moreRead less
Interlimb coordination dynamics in stroke. Everyday we use our limbs in a coordinated manner. However, for a person who has suffered a stroke resulting in weakness on one side of the body even the simplest interlimb coordination tasks are difficult to perform. This project will examine interlimb coordination in persons who have suffered a stroke and explore whether the coupling between limbs can be exploited to promote fuctional recovery of an impaired limb. In particular, the research seeks to ....Interlimb coordination dynamics in stroke. Everyday we use our limbs in a coordinated manner. However, for a person who has suffered a stroke resulting in weakness on one side of the body even the simplest interlimb coordination tasks are difficult to perform. This project will examine interlimb coordination in persons who have suffered a stroke and explore whether the coupling between limbs can be exploited to promote fuctional recovery of an impaired limb. In particular, the research seeks to identify the critical components underlying the effectiveness of an intervention involving the pratice of actions bilaterally and simultaneously.Read moreRead less
An investigation of limb dynamics as a constraint on human motor learning. Everyday we use our limbs to interact with a variety of objects. These objects have various mechanical characteristics (dynamics), which require the human motor system to provide appropriate control. This project seeks to understand how the brain, in both normal and disease states, learns new limb dynamics as we interact with a novel mechanical environmental. Repetitive brain stimulation will be used to selectively block ....An investigation of limb dynamics as a constraint on human motor learning. Everyday we use our limbs to interact with a variety of objects. These objects have various mechanical characteristics (dynamics), which require the human motor system to provide appropriate control. This project seeks to understand how the brain, in both normal and disease states, learns new limb dynamics as we interact with a novel mechanical environmental. Repetitive brain stimulation will be used to selectively block the contribution of various cortical regions during the learning of a new motor skill and later, the recall of that skill. This will allow us to determine definitively which areas are critical to motor skill acquisition.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less