Analysis of effective offshoring processes for Australian organisations. The offshore outsourcing of business processes is a new, largely unexplored and under-theorised area that is placing great pressure on Australian organisations. This research aims to develop models of best practice for offshoring by Australian organisations through a series of cases studies commencing with the industry partner, Repcol Limited. The research will identify what business processes are core, what processes can b ....Analysis of effective offshoring processes for Australian organisations. The offshore outsourcing of business processes is a new, largely unexplored and under-theorised area that is placing great pressure on Australian organisations. This research aims to develop models of best practice for offshoring by Australian organisations through a series of cases studies commencing with the industry partner, Repcol Limited. The research will identify what business processes are core, what processes can be offshored, whether to use third parties or have captive operations, and what factors need to be addressed in order to utilise offshoring to strengthen Australian organisations and enable them to take advantage of global strategic opportunities for growth.Read moreRead less
Robust and scalable change detection in geo-spatial data. A flood of data in the form of text, images and video emanate from a proliferation of sensors. These data are collected but rarely analysed, rendering it meaningless. This project aims to develop new software and techniques to detect changes over time in large scale geographically referenced data (for example photomaps) for use across numerous domains.
Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emer ....Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emergency services. This new capability enhances utilisation of security resources to prevent injury and fatalities in evacuation scenarios, applicable to existing venues and influencing the development of new facilities around the country. The project delivers researcher training, global clientele for local technology and a platform for local industry growth.Read moreRead less
Supporting personalised learning in secondary schools through the use of specific mathematics assessments that reveal thinking. This project will improve numeracy standards in secondary schools, by assisting teachers to personalise the teaching of each student. Through detailed research, the project will develop sophisticated assessments that clearly reveal students' mathematical thinking. On-line diagnosis will suggest teaching activities that can bring about desired conceptual changes. The eff ....Supporting personalised learning in secondary schools through the use of specific mathematics assessments that reveal thinking. This project will improve numeracy standards in secondary schools, by assisting teachers to personalise the teaching of each student. Through detailed research, the project will develop sophisticated assessments that clearly reveal students' mathematical thinking. On-line diagnosis will suggest teaching activities that can bring about desired conceptual changes. The effectiveness of the resources will be thoroughly tested, for impact on student achievement and the mathematics teaching skills of teachers, especially those working out-of-field. Rural schools will have equal access to these resources. Good numeracy provides the foundation for life-long learning, employment satisfaction and the economic competitiveness of Australia.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Monitoring intuitive expertise in the context of airport security screening. During airport security screening and processing, confusion and error are greatest when systems or contexts are unfamiliar. Poorly designed systems compromise the interactions of airport security personnel and decrease their ability to promptly and accurately respond to situations. This project aims to deliver a suite of automated methods to monitor security operator knowledge and engagement, to assess the real-time sec ....Monitoring intuitive expertise in the context of airport security screening. During airport security screening and processing, confusion and error are greatest when systems or contexts are unfamiliar. Poorly designed systems compromise the interactions of airport security personnel and decrease their ability to promptly and accurately respond to situations. This project aims to deliver a suite of automated methods to monitor security operator knowledge and engagement, to assess the real-time security screening context, and to detect unusual passenger behaviour at the screening check-point. This monitoring aims to provide new knowledge and techniques to enhance security operator performance, refine the screening process, improve passenger experience and, most critically, ensure safety at Australian airports.Read moreRead less
Information Systems Enabled Corporate Transformation: Evaluation of Electronic Customer Relationship Management in the Service Sector. Customer relationship management (CRM) is a business and marketing strategy that integrates technology, process and business activities around the customer. Only 30% of electronic CRM efforts have been successfully implemented because stakeholder expectations are typically neglected. This issue underlines the importance of the ?soft? organisational issues involve ....Information Systems Enabled Corporate Transformation: Evaluation of Electronic Customer Relationship Management in the Service Sector. Customer relationship management (CRM) is a business and marketing strategy that integrates technology, process and business activities around the customer. Only 30% of electronic CRM efforts have been successfully implemented because stakeholder expectations are typically neglected. This issue underlines the importance of the ?soft? organisational issues involved with the evaluation of information systems. By evaluating the change management process and modelling the impact of e-CRM enabled change, management strategies will be developed to enable its successful implementation. The research will provide a greater understanding for evaluating the performance of e-CRM solutions, as well as uncover opportunities for organisational related change.Read moreRead less
An Integrated Proteomic and Bioinformatic Approach for Classifying Raw and Cooked Fish. Truth in labelling of foodstuffs is an international concern. In Australia, one of the most vulnerable industries is fishing. The fishing industry and the CSIRO have pioneered standardized fish names, but to date there is no rapid test that can provide answers that are better than 'yes' or 'no' to those who seek to enforce health and consumer regulations or provide provenance data to an industry valued at ....An Integrated Proteomic and Bioinformatic Approach for Classifying Raw and Cooked Fish. Truth in labelling of foodstuffs is an international concern. In Australia, one of the most vulnerable industries is fishing. The fishing industry and the CSIRO have pioneered standardized fish names, but to date there is no rapid test that can provide answers that are better than 'yes' or 'no' to those who seek to enforce health and consumer regulations or provide provenance data to an industry valued at $2.3Billion.
This project will develop a robust testing method based on an integrated proteomic and bioinformatics system that will ensure truth in labelling of raw and cooked fish samples for the benefit of Australia's fishing industry.Read moreRead less
Tools, methodologies and reasoning support for developing companion-toy modules. This project investigates building of modules for an intelligent Toy which can be customised and adapted over time by add-on modules. Intelligent interactive toys are growing in popularity, and the ability for such a toy to develop over a prolonged lifetime, is both a sound business idea and a mechanism for extending the useful life of the Toy.
Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less