Design and Development of a Web-based Intelligent Multimedia Mining System. Increasing amounts of digital multimedia data in the form of video is being captured and stored. However, even the most advanced storage and retrieval techniques lack the features required to be used singly, or in combination, to fulfil a wide range of user needs and rapid access to multimedia resources, even in a very large video database. The core challenges are indeed to develop efficient, smart and intelligent web-ba ....Design and Development of a Web-based Intelligent Multimedia Mining System. Increasing amounts of digital multimedia data in the form of video is being captured and stored. However, even the most advanced storage and retrieval techniques lack the features required to be used singly, or in combination, to fulfil a wide range of user needs and rapid access to multimedia resources, even in a very large video database. The core challenges are indeed to develop efficient, smart and intelligent web-based multimedia mining in Australia and elsewhere. In this project, we will explore techniques and develop algorithms for content-based multimedia retrieval and mining in multimedia databases.Read moreRead less
Developing Robust Mobile Middleware for Large Scale Distributed On-line Applications. Existing electronic commerce have shown profound limitations when dealing with key issues related to electronic commerce applications, such as data interoperability, mobility and performance. The aim of this project is to understand the complexity of the underlying problems related to electronic commerce applications, and to subsequently produce a robust and efficient infrastructure to support them. It is sig ....Developing Robust Mobile Middleware for Large Scale Distributed On-line Applications. Existing electronic commerce have shown profound limitations when dealing with key issues related to electronic commerce applications, such as data interoperability, mobility and performance. The aim of this project is to understand the complexity of the underlying problems related to electronic commerce applications, and to subsequently produce a robust and efficient infrastructure to support them. It is significant because it is expected to automate most of the tedious and complex activities of on-line transactions. The main outcome will be a set of techniques and programs that will form the basis of the commercial software, with a significant export potential.Read moreRead less
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
Enhancing computer user productivity of integrated enterprise wide systems: an intervention study. This project addresses a critical issue in IT investment and productivity. Current theoretical models of user training and acceptance have not contributed to the effectiveness of implementing new integrated enterprise wide systems. This study will identify key indiviudal differences that predict user motivation to learn and utilize such systems under mandatory conditions. A longitudinal study in ....Enhancing computer user productivity of integrated enterprise wide systems: an intervention study. This project addresses a critical issue in IT investment and productivity. Current theoretical models of user training and acceptance have not contributed to the effectiveness of implementing new integrated enterprise wide systems. This study will identify key indiviudal differences that predict user motivation to learn and utilize such systems under mandatory conditions. A longitudinal study in two field settings will test the impact of selected interventions on task performance following training. The outcomes will inform Australian industry on models of effective implementation and provide guidance to increase the productivity of personnel using software systems.Read moreRead less
Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expec ....Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expected outcomes are evaluations of ARIS and UML. Thus, this project contributes to the development of two of the most popular modelling techniques. Based on the theory used and the results of an international empirical study, suggestions for the further development of these techniques will be derived.Read moreRead less
Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage ....Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage capabilities, including graphics processor and flash-based memory. This project will devise an adaptive key-value store framework for heterogeneous systems. Our new framework will adaptively harvest the performance potential of future hardware such that applications can cope with fast-growing data sets.Read moreRead less
Computational Methods for the Social Accounting of Teamwork. The cornerstone of the knowledge industries underlying the Australian economy is not just mechanical efficiency but also teamwork productivity. The increasing trend toward placing Australian employees nearer to their customers means that Australian companies face an even greater challenge in managing effective teamwork. This research examines the pragmatics and theoretical issues of developing computer-based systems that enable real-ti ....Computational Methods for the Social Accounting of Teamwork. The cornerstone of the knowledge industries underlying the Australian economy is not just mechanical efficiency but also teamwork productivity. The increasing trend toward placing Australian employees nearer to their customers means that Australian companies face an even greater challenge in managing effective teamwork. This research examines the pragmatics and theoretical issues of developing computer-based systems that enable real-time assessments of teamwork productivity. Automated assessments of how well relationships are progressing in teams will enable them to realise the same levels of productivity gains that automated workflow management has facilitated.Read moreRead less
Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design ....Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design of such Enterprise Architectures. The outcomes and the innovation of this project are an extension of the popular Zachman Framework. Integrated modelling techniques proposed within the Architecture of Integrated Information Systems will be used to populate this framework.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
Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biolog ....Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biological data. In this project we will develop efficient methodologies and data structures for gathering high-quality approximations of full genomic information, and will use these innovations as the foundation to develop novel, practical tools for clustering and visualization in genomic data mining and database management.
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