Ceramic Fuel Cells Limited design and manufacture a fuel cell product that generates electricity from electrochemical reactions based on a supply of air and natural gas. This project will: examine the relationships between system performance and manufacturing data, suggest new ways to analyse existing data and identify additional data that might be collected to further enhance the reliability and life of fuel cells.

This project will data mine information associated with traffic infringements in the City of Melbourne and look for the spatiotemporal patterns of infringements and infringement payments. Results will be considered in terms of how to make Melbourne more accessible to the public.

This project aims to develop a system-specific planning and scheduling tool that will underpin the implementation of a range of safety, technical, and development courses that are routinely taken by numerous internal and external staff working with TruEnergy.

This study will compare the variation in final resource estimates when using simplistic statistical methods of describing dependencies (such as Spearman’s and Kendall tau rank correlation coefficients) and more complex methods such as copulas. The merits, limitations and assumptions of each method will be examined.

Creative analytics creates software used by those participating in the Australian Energy markets. This project will review the operations, market data and typical contracts associated with the Victorian and New South Wales gas markets with a view to developing a suitable model for valuing gas contracts.

The City of Melbourne monitor pedestrian traffic at 18 locations around town. Real-time data allows council to:

• determine the impact of events and the effectiveness of marketing campaigns on the level of pedestrian activity in the city;
• measure tourism, transport planning and emergency planning initiatives;
• compare the number of movements that occur across the city by foot, to other modes of transport, to inform transport policies and ecological footprint estimates;
• monitor the relative changes in pedestrian numbers overtime
• Strategically plan for increases into cater for in

Data collected between 2006 and 2010 will be analysed to assist in describing how pedestrian traffic varies from temporally and spatially and in relation to the occurrence of special events, road and construction activity and varying economic conditions. Methodological issues such as missing data values and changes in monitoring technology will also be considered.

This project will assist to analyse data collected since 2008 to test the ability of custom designed progressive addition lenses to retard the onset and progression of juvenile myopia in children between the age of 6 and 12 years. The analysis will search for changes in a range of eye measurements recorded throughout the trial after taking into account the influence of sub-group selection and factors such as sex, parental history of myopia, phoria and frame size.

Research will focus on identifying the risk factors that drive the securitisation market in Australia and internationally with a focus on comparing and contrasting these domestic risk factors with those internationally. Our research aims to provide a model that will yield information about key risk factors that impact the economic environment in the context of the securitisation market.

Areas to be addressed include:

• Prudential Regulation
• Interest Rate Cycles
• Product Complexity
• Global Integration and Diversification Opportunities

Bilexys has developed an innovative waste water treatment system that incorporates a microbial fuel cell as part of the waste treatment process. This project aims to harmonise the output of an array of electrochemical cells by developing algorithms for a pulse-width modulation system that will ensure constant output while minimising microbial losses in underperforming cells.

Passenger train timetables in Australia and elsewhere are manually developed every twelve months in response to infrastructure changes and fluctuations in demand. This project seeks to develop methods to calculate train running patterns that best meet demand. Methods to be developed will incorporate constraints such as train availability, capacity, track section running times, dwell times, rolling stock, track topology and capacity and the availability of staff. Findings are expected to lead to better, more robust train timetables.