Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. ....Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. Sensor networks have data like this, and they play a vital role in environmental monitoring. Cloud computing platforms also have this type of data, and these allow smaller enterprises to grow smoothly, without needing large up-front investments in computing infrastructure.Read moreRead less
Applying Method Engineering Techniques to the Construction of Agile Methodologies. Agile approaches to software development provide flexibility within the method but provide no assistance for improving the selected method. This second kind of flexibility is important to permit organizations to improve with time. To accomplish such improvement, a method engineering approach is proposed for agile method construction using the OPEN Process Framework, which consists of a metamodel and a collection ....Applying Method Engineering Techniques to the Construction of Agile Methodologies. Agile approaches to software development provide flexibility within the method but provide no assistance for improving the selected method. This second kind of flexibility is important to permit organizations to improve with time. To accomplish such improvement, a method engineering approach is proposed for agile method construction using the OPEN Process Framework, which consists of a metamodel and a collection of method components, stored in a repository. In collaboration with Eagle Datamation International, we will devise methods of constructing an agile method tailored to their business needs and then evaluate it in practice, monitoring as the method evolves and improves.Read moreRead less
Audit Security Models for Multiparty Internet Transactions. The aim of this project is to conduct the study for a secure, low overhead means of auditing secure transactions between two parties over the Internet, especially where some doubt surrounds the trustfulness of the other party.
A study will be conducted in this project by investigating security models for multiparty secure transactions in order to identify a number of likely applications for the technology, to develop a high level arch ....Audit Security Models for Multiparty Internet Transactions. The aim of this project is to conduct the study for a secure, low overhead means of auditing secure transactions between two parties over the Internet, especially where some doubt surrounds the trustfulness of the other party.
A study will be conducted in this project by investigating security models for multiparty secure transactions in order to identify a number of likely applications for the technology, to develop a high level architecture of the solution.Read moreRead less
Learning Semi-Naive Bayesian Classifiers from Numeric Data. This project addresses research priority 3, offering frontier technologies. It will deliver better and faster classification technologies that greatly help accomplish many real-world tasks including medical diagnosis, fraud detection, spam filtering and webpage search, where accurate and fast classification is critical to save life, increase efficiency, reduce crime and conserve resources. Hence this project addresses priority 4 as well ....Learning Semi-Naive Bayesian Classifiers from Numeric Data. This project addresses research priority 3, offering frontier technologies. It will deliver better and faster classification technologies that greatly help accomplish many real-world tasks including medical diagnosis, fraud detection, spam filtering and webpage search, where accurate and fast classification is critical to save life, increase efficiency, reduce crime and conserve resources. Hence this project addresses priority 4 as well, better safeguarding Australia from disease and crime. This project will also support a young research group of international standing. It will train the involved researchers to attain a high level of proficiency and excellence in machine learning research and development.Read moreRead less
Quality of Service-based Scheduling of e-Research Application Workflows on Global Grids. e-Research has the potential to offer Australia significant economic and social benefits as it enables researchers from different disciplines and organisations to engage in collaborative scientific investigation. In e-Research environments, users need to have secure access to remote resources owned by different organisations. Since these resources are not directly under the control of e-Research applications ....Quality of Service-based Scheduling of e-Research Application Workflows on Global Grids. e-Research has the potential to offer Australia significant economic and social benefits as it enables researchers from different disciplines and organisations to engage in collaborative scientific investigation. In e-Research environments, users need to have secure access to remote resources owned by different organisations. Since these resources are not directly under the control of e-Research applications, they need to negotiate with resource providers for access time, duration, and the level of quality of service expected to make sure that the interlinked operations are performed as required. This project develops information and communications technologies that enable the creation of such e-Research environments.Read moreRead less
A Novel Software System for .NET-based Enterprise Grid Computing. This ARC Linkage project, in partnership with Microsoft, aims to develop a novel Grid computing platform that enables organisations to effectively harness various IT resources and allocate them for different applications depending on their demands and priorities. The project outcomes will revolutionise the computing field by enhancing the productivity of software engineering for enterprise applications and accelerate their executi ....A Novel Software System for .NET-based Enterprise Grid Computing. This ARC Linkage project, in partnership with Microsoft, aims to develop a novel Grid computing platform that enables organisations to effectively harness various IT resources and allocate them for different applications depending on their demands and priorities. The project outcomes will revolutionise the computing field by enhancing the productivity of software engineering for enterprise applications and accelerate their execution on enterprise Grids.Read moreRead less
Spotting Near-duplicate Sequences from Online Databases, Streams and Communities. This project studies a very important problem which has significant research and economy value. Advances in this project will reshape the landscape of media, commercial and legal service industries. Success of this project will not only establish us as an internationally leading research group but also bring significant economic and social benefits. Australia organizations with media assets will be benefited by sav ....Spotting Near-duplicate Sequences from Online Databases, Streams and Communities. This project studies a very important problem which has significant research and economy value. Advances in this project will reshape the landscape of media, commercial and legal service industries. Success of this project will not only establish us as an internationally leading research group but also bring significant economic and social benefits. Australia organizations with media assets will be benefited by saving enormous cost, improving service quality, protecting their intelligence properties, etc. It will also advance Australia's intellectual leadership in copyright compliance and benefit commercialization of research results.Read moreRead less
UNLOCKING BENEFITS FROM ENTERPRISE SYSTEMS IN THE AUSTRALIAN PUBLIC SECTOR: Benefits Realisation in the Context of the Virtual Organisation. This study proposes to provide an innovative Virtual Organisation perspective to identify factors that can assist Australian government agencies to maximise the potential benefits from Enterprise System (ES) implementation. Study aims include: Identify and explicate major characteristics of the Virtual Organisation created through collaboration between gove ....UNLOCKING BENEFITS FROM ENTERPRISE SYSTEMS IN THE AUSTRALIAN PUBLIC SECTOR: Benefits Realisation in the Context of the Virtual Organisation. This study proposes to provide an innovative Virtual Organisation perspective to identify factors that can assist Australian government agencies to maximise the potential benefits from Enterprise System (ES) implementation. Study aims include: Identify and explicate major characteristics of the Virtual Organisation created through collaboration between government agency and (external) ES Implementation Partner; Identify and document features and constraints peculiar to ES implementation in the Australian public sector; Identify and explicate factors impacting on benefits realisation, relating these to theory from related fields; Highlight consensus and difference among stakeholders; Develop a validated, repeatable methodology for major impact studies; Inform ES research directions.Read moreRead less
Privacy-Preserving Remote Access to Health Information Infrastructure in Ubiquitous Computing Environments. The project's benefits can be summarised as follows. (a) The project will provide new solutions that enable remote access to health-care data in a secure and privacy-preserving manner. (b) This will improve health care services in northern metropolitan Melbourne, and provide shorter medical response time, which is particularly important in emergency scenarios. (c) It will exemplify advance ....Privacy-Preserving Remote Access to Health Information Infrastructure in Ubiquitous Computing Environments. The project's benefits can be summarised as follows. (a) The project will provide new solutions that enable remote access to health-care data in a secure and privacy-preserving manner. (b) This will improve health care services in northern metropolitan Melbourne, and provide shorter medical response time, which is particularly important in emergency scenarios. (c) It will exemplify advanced IT support for health care, which can be utilised by other providers. (d) The project will make a direct link between IT research and its industrial application. (e) The project will also give the opportunity to a postdoctoral researcher and PhD students to perform leading edge research on privacy protection of information in an industrial environment.Read moreRead less
Resource-bounded adaptive inference of accurate conditional probability estimates from data. This project will develop machine learning techniques with a valuable new capability: the ability to produce estimates of complex conditional probabilities to varying levels of expected accuracy depending upon the constraints of available computational resources. This will provide significant competitive advantage to developers of many types of online application by allowing them to maximise utilisation ....Resource-bounded adaptive inference of accurate conditional probability estimates from data. This project will develop machine learning techniques with a valuable new capability: the ability to produce estimates of complex conditional probabilities to varying levels of expected accuracy depending upon the constraints of available computational resources. This will provide significant competitive advantage to developers of many types of online application by allowing them to maximise utilisation of available computational resources when making inferences from data, together with the flexibility to trade-off accuracy and computing resources during system design. Australia will also benefit by strengthening its machine learning expertise, which is central to many complex and intelligent systems and the booming data mining industry.Read moreRead less