New methods for analysing marketing Databases in the age of digital media. This is a time of enormous and rapid change in many areas of Australian business due to the introduction and widespread dissemination of digital media. It has resulted in the accumulation of large integrated databases of customer information and their transactions. Firms in all countries, particularly those challenged by distance and size, like Australia, are now seeking to find ways to make better use of their voluminous ....New methods for analysing marketing Databases in the age of digital media. This is a time of enormous and rapid change in many areas of Australian business due to the introduction and widespread dissemination of digital media. It has resulted in the accumulation of large integrated databases of customer information and their transactions. Firms in all countries, particularly those challenged by distance and size, like Australia, are now seeking to find ways to make better use of their voluminous information so as to make efficiency gains in their business processes, strategic decision-making and customer relationship management. Our project aims to contribute to the ARC priority research goal of smart information use by developing new methodologies for the analysis of these large integrated databases.Read moreRead less
A new perturbation method for solving singular operator equations with applications to complex systems. This project will develop new methods for analysis of web-based search routines such as Google PageRank, a new algorithm for optimal estimation of random signals, more accurate error analysis in the approximate solution of singular systems of equations and enhanced understanding of models for the simulated management of urban stormwater. The project will involve collaboration between two Aus ....A new perturbation method for solving singular operator equations with applications to complex systems. This project will develop new methods for analysis of web-based search routines such as Google PageRank, a new algorithm for optimal estimation of random signals, more accurate error analysis in the approximate solution of singular systems of equations and enhanced understanding of models for the simulated management of urban stormwater. The project will involve collaboration between two Australian universities and a leading European Research Institute. It will provide employment and vital training for two postdoctoral Research fellows and research projects for three postgraduate students and two honours students.Read moreRead less
Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are ....Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are decentralized and have a hierarchical structure. The proposed techniques are extremely effective for such kinds of organizations in critical planning, management and policy making, including tourism resource planning, water resource management, financial planning, healthcare planning, land-use planning, production planning, transportation planning, and power market planning.Read moreRead less
Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will deve ....Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will develop a set of interactive decision-making methods to be used by groups solving fuzzy multi-objective decision problems with the allowance of fuzzy judgements, then develop a group decision support system to implement the methods. These outcomes can be immediately used by suitable Australian organisations.Read moreRead less
Special Research Initiatives - Grant ID: SR0567263
Funder
Australian Research Council
Funding Amount
$82,831.00
Summary
Development of Tool Interfaces and Data Standards for Enabling Remote Secondary Analysis of Qualitative Data. This proposal will promote sharing and rapid secondary analysis of natural language and other qualitative data by providing interface standards between qualitative analysis systems, and will enhance the integration of analytic methods through improved archiving. This will be achieved by the construction and dissemination of open standards for the efficient, flexible transport and storage ....Development of Tool Interfaces and Data Standards for Enabling Remote Secondary Analysis of Qualitative Data. This proposal will promote sharing and rapid secondary analysis of natural language and other qualitative data by providing interface standards between qualitative analysis systems, and will enhance the integration of analytic methods through improved archiving. This will be achieved by the construction and dissemination of open standards for the efficient, flexible transport and storage of annotation metadata, along with demonstrated implementations of these standards in qualitative tools. At the current stage of development of e-Social Science, the provision of middleware for collaborative work is more important than large-scale computational capability. The initiative will leverage existing ARC investment in qualitative data archiving.Read moreRead less
Optimal Deployment of Wireless Sensor Networks. Wireless sensor networks consist of coordinated sensing devices that offer us new ways to understand and interact with the physical world. Australia is a leading player in developing such networks. For a given technology, the key to both optimising the quality of area monitoring and minimising the cost of a sensor network lies in deciding how best to deploy the sensors. We aim to develop powerful new methods to get the best performance from a plann ....Optimal Deployment of Wireless Sensor Networks. Wireless sensor networks consist of coordinated sensing devices that offer us new ways to understand and interact with the physical world. Australia is a leading player in developing such networks. For a given technology, the key to both optimising the quality of area monitoring and minimising the cost of a sensor network lies in deciding how best to deploy the sensors. We aim to develop powerful new methods to get the best performance from a planned sensor network. This will enhance Australia's research role in this area and directly benefit applications such as national security and environmental monitoring.
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Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the ....Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the context of a PhD dissertation, this project will develop an improved agent-oriented conceptual modelling framework and related requirements elicitation techniques drawing on advances in Artificial intelligenct, Requireents Engineering and Organisational Semiotics. The practical deliverables of this project will address the needs of a large complex government organisation.Read moreRead less
Fault-Based Test Case Generation for Software. This research explores ways to generate fault based test cases from specifications to verify software applications. This will help to enhance knowledge and skills on frontier software technologies for building and transforming Australian IT industries. The results provide knowledge, methodologies and technologies to software industry in Australia on building better quality software faster. In addition, it will help to reveal faults earlier in the de ....Fault-Based Test Case Generation for Software. This research explores ways to generate fault based test cases from specifications to verify software applications. This will help to enhance knowledge and skills on frontier software technologies for building and transforming Australian IT industries. The results provide knowledge, methodologies and technologies to software industry in Australia on building better quality software faster. In addition, it will help to reveal faults earlier in the development phase. Software companies in Australia can apply these techniques to improve their software development process and, hence, enhance the quality of their product. They can also adapt the knowledge to manage and enhance the quality of their outsourcing projects.Read moreRead less
Semantic Authentication of Visual Data. Data authentication systems can detect the smallest modification to a message. Authentication systems for media objects such as images, and audio and video clips have a different requirement they must ensure authenticity of the content without needing all the changes to be detectable. The aims of this project are to develop a framework for design and analysis of image and video authentication systems, and construct secure and flexible systems that can be ....Semantic Authentication of Visual Data. Data authentication systems can detect the smallest modification to a message. Authentication systems for media objects such as images, and audio and video clips have a different requirement they must ensure authenticity of the content without needing all the changes to be detectable. The aims of this project are to develop a framework for design and analysis of image and video authentication systems, and construct secure and flexible systems that can be used in practice. This research addresses the urgent need of providing security for multimedia objects in electronic commerce and is of high importance to the acceptance of advanced communication and information services.Read moreRead less
Data Exchange and Service Integration with Applications in Health Information Systems. This project will research and develop an innovative new approach to facilitate real data exchange and service integration across different medical organisations. This approach will significantly improve the quality of health care by providing a solid foundation for integrated medical services, offering on demand and effective access to fragmentally stored patients medical information and minimise the number o ....Data Exchange and Service Integration with Applications in Health Information Systems. This project will research and develop an innovative new approach to facilitate real data exchange and service integration across different medical organisations. This approach will significantly improve the quality of health care by providing a solid foundation for integrated medical services, offering on demand and effective access to fragmentally stored patients medical information and minimise the number of data entry errors injected into the medical information systems. The novel integration model will also enable a new autonomous approach for demographic data collection which is essential for evidenced resource allocation, policy making and disease prevention.Read moreRead less