Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. ....Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. Building on from earlier work by University of New South Wales, University of Adelaide and GPSat Systems, this project aims to create a system for locating interference and spoofers to GNSS of any power in real time, providing layered monitoring and reactive mitigation solutions against interference and spoofing attacks.Read moreRead less
The future of aircraft maintenance in Australia: workforce capability, aviation safety and industry development. This research will analyse sources of skill shortage in Australia's aircraft maintenance industry and identify the safety risks of sending maintenance work offshore. It will compare these risks with the costs and benefits of building aircraft maintenance skills and careers, and enhancing their contribution to national technological development.
Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less
Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, avia ....Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, aviation, energy, transportation, and defence, the expected outcomes will facilitate interventions such as targeted training and the provision of technical support, that will guide the diagnostic process and thereby reduce the impact of misdiagnoses on individuals and infrastructure.Read moreRead less
Situational Assessment as a Marker of Cognitive Skill Decay. The aim of this study is to test how differences in exposure to complex tasks change the capacity for situational assessment. Amongst drivers, pilots and electricity controllers, the capacity to assess and respond effectively to changes in the operational environment are critical in sustaining performance and ensuring the safety and security of the public. Establishing the nature of this relationship will enable, for the first time, ob ....Situational Assessment as a Marker of Cognitive Skill Decay. The aim of this study is to test how differences in exposure to complex tasks change the capacity for situational assessment. Amongst drivers, pilots and electricity controllers, the capacity to assess and respond effectively to changes in the operational environment are critical in sustaining performance and ensuring the safety and security of the public. Establishing the nature of this relationship will enable, for the first time, objective measures of cognitive skill decay. In evaluating cognitive skill decay more accurately, we will provide a cost-effective, easily administered tool, enabling practitioners to identify and address areas of development and providing data to anticipate when cognitive skill decay is most likely to occur.Read moreRead less
Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patter ....Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patterns of brain activity that predict a lapse of attention. The results should contribute to theories of vigilance and improve performance in real-world monitoring situations.Read moreRead less
Improving performance in high risk environments using guided distraction and iconic cues. This project tests a novel strategy to assist operators in high-risk automated environments, in order to maintain their performance in low workload situations. Using guided distraction, this project will be able to show improvements in attention to critical tasks and in overall system performance, thereby reducing the potential for error.
Mid-Career Industry Fellowships - Grant ID: IM230100702
Funder
Australian Research Council
Funding Amount
$859,472.00
Summary
Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australia ....Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australian shift working organisations. The project will close the gap in resources currently available to support sleep in shift workers and will reduce the significant burdens of shift work for alertness, productivity and safety.Read moreRead less
Functional Assessment of Head-eye Coordination during Driving. 238 people per 100,000 population were hospitalized and 9 people per 100,000 died as a result of road-transport related injury in Australia in 2002. We will address this issue by assessing the head eye coordination strategies for young drivers, for proficient drivers and for aged drivers to determine those behaviors and strategies that are associated with various levels of performance. This insight could be affectively communicated t ....Functional Assessment of Head-eye Coordination during Driving. 238 people per 100,000 population were hospitalized and 9 people per 100,000 died as a result of road-transport related injury in Australia in 2002. We will address this issue by assessing the head eye coordination strategies for young drivers, for proficient drivers and for aged drivers to determine those behaviors and strategies that are associated with various levels of performance. This insight could be affectively communicated to others and would provide the basis for educational material and methods that would improve operator skill, safety, and performance. These individual improvements would provide overall benefits such as improved transport efficiency, reduced accident rates, saved lives and a reduction in related social costs.Read moreRead less
Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.