InnovAus, a showcase of Australian research and innovation, is at ICT Vienna from 4 to 6 December as part of a collaboration between RMIT University, University of Technology Sydney, Austrade and the Australian Government Department of Industry, Innovation and Science.
Several of Australia's leading experts across Big Data, AI and smart utilities will be demonstrating their work at ICT 2018.
Dr Jonathan Duckworth, RMIT University
Dr Peter Wilson, Australian Catholic University
EDNA is an interactive software application for brain injury rehabilitation. This technology allows therapists to design and prescribe therapeutic tasks for patient use in the clinic and at home to accelerate recovery.
EDNA is an integrated system of hardware and software validated for clinic and home use and includes a cloud-based delivery system that customises cognitive and motor tasks for the individual. On commercial release EDNA may benefit 300,000 Australians living with brain injury and millions more globally.
CAMS - Deterioration modelling software
Dr Kanishka Atapattu, RMIT University
CAMS is capable of prediction of the asset lifecycle. The costs associated with a given level of service can be predicted with the flexibility being given to the user to generate different intervention scenarios. The condition information necessary for the prediction can be collected using the integrated iPad app. Factors such as utilisation can be incorporated into the prediction model. This information can be collected using sensors.
Lifecycle costs can add up to more than 60% of the assets’ budgetary requirements. These costs can be sudden and if unanticipated can have major issues with the availability of finances for a given year. CAMS helps predict and identify these costs earlier while ensuring minimum risk to an organisation. The tool helps property managers to move away from high-risk reactive maintenance and encourages an optimum proactive approach for asset management.
Dr Negin Moghadam, University of Technolgy Sydney
Dr Farookh Hussain, University of Technology Sydney
Dwell-time is the period trains remain stationary at platforms, allowing passenger exchange. This is one of the few components of railway operations where passenger behaviour can directly affect service delivery, on-time running and train path capacity. Dwell-Track detects key dwell events in train and human motion in densely crowded transport environments using depth cameras. Dwell- Track produces temporal and spatial passenger exchange data of boarding process, train arrival/ departure times and door operation.
Real-time information assists operators in identifying which parts of the dwell-time structure are extending beyond nominal periods or need immediate attention. Historical data provides a baseline to evaluate strategies, or changes to procedures in reducing dwell-time.