Exploiting Structure in AI Planning. The research will improve our ability to build generic, automated planning systems, which can efficiently select effective courses of actions in a range of situations such as crisis management, project planning, military operations planning, and transportation. It will help reduce the cost of building software to more efficiently solve important problems occurring in validating, controlling, and diagnosing complex systems. More generally, it will advance our ....Exploiting Structure in AI Planning. The research will improve our ability to build generic, automated planning systems, which can efficiently select effective courses of actions in a range of situations such as crisis management, project planning, military operations planning, and transportation. It will help reduce the cost of building software to more efficiently solve important problems occurring in validating, controlling, and diagnosing complex systems. More generally, it will advance our understanding of how machines can intelligently solve complex problems by identifying and exploiting their relevant structure.Read moreRead less
Where the Really Hard Problems Are: Beyond the Decision Case. This is a project in empirical artificial intelligence. We study factors affecting the average difficulty of computing optimal or near-optimal solutions to instances of problems whose worst cases are typically intractable. Most existing research on the distribution of hard instances concerns decision questions, where the issue is whether solutions exist or not. We seek comparable results for optimization, where the goal is the best so ....Where the Really Hard Problems Are: Beyond the Decision Case. This is a project in empirical artificial intelligence. We study factors affecting the average difficulty of computing optimal or near-optimal solutions to instances of problems whose worst cases are typically intractable. Most existing research on the distribution of hard instances concerns decision questions, where the issue is whether solutions exist or not. We seek comparable results for optimization, where the goal is the best solution, and for approximation, where the goal is a good solution. Expected outcomes include new heuristics for search algorithms, new methods for predicting search costs, and explanations of the average case behaviour of algorithms.Read moreRead less
Model checking Multi-Agent System and its applications. This research project directly addresses two of the Australian Government's four National Research Priorities: National Research Priorities 3 and 4. It will develop an enabling technology that is applicable to the development of safety-intensive and highly dependable software systems like medical equipment and airport controlling systems. The security protocol analysis technologies developed by this project can be useful for providing impro ....Model checking Multi-Agent System and its applications. This research project directly addresses two of the Australian Government's four National Research Priorities: National Research Priorities 3 and 4. It will develop an enabling technology that is applicable to the development of safety-intensive and highly dependable software systems like medical equipment and airport controlling systems. The security protocol analysis technologies developed by this project can be useful for providing improved ways of military operation flows, and for making Australian security communication systems more dependable.Read moreRead less
Investigating a classroom simulation designed to support pre-service teacher decision making in planning and implementing literacy teaching. This project investigates teacher mentor and preservice teacher participation in an online simulation of the teaching of literacy in junior primary classrooms. It will investigate how simulation can support preservice teachers to make complex sequences of decisions about the use of language and learning resources, teaching strategies and behaviour managemen ....Investigating a classroom simulation designed to support pre-service teacher decision making in planning and implementing literacy teaching. This project investigates teacher mentor and preservice teacher participation in an online simulation of the teaching of literacy in junior primary classrooms. It will investigate how simulation can support preservice teachers to make complex sequences of decisions about the use of language and learning resources, teaching strategies and behaviour management strategies for a class of virtual students. The simulation will employ embedded cognitive tools to support teacher decision making. Once effective simulation learning of teacher performance is achieved, it will investigate the transfer of these skill to the real classrooms.Read moreRead less
Management of Complex Assets Using Smart Information Systems. The aim is to develop an integrative framework and a smart system for holistic asset management in order to manage and optimise asset decisions vis-a-vis shifts in customer and market needs. It will develop an advanced conceptual framework, a dedicated smart system that is capable of handling uncertainty often associated with decision making in large complex operations. The benefits of this research are: a more competitive indusry wit ....Management of Complex Assets Using Smart Information Systems. The aim is to develop an integrative framework and a smart system for holistic asset management in order to manage and optimise asset decisions vis-a-vis shifts in customer and market needs. It will develop an advanced conceptual framework, a dedicated smart system that is capable of handling uncertainty often associated with decision making in large complex operations. The benefits of this research are: a more competitive indusry with focus on markets; a smart system to demonstrate business-based decision making and generally a much more sophisticated approach to asset management.Read moreRead less
Emergency Control of Catastrophic Disturbances in a Power System. Following the tragic events of 11 September 2001, there are increased concerns about the security and robustness of power systems to evolving spectra of threats, such as natural disasters (e.g., earthquakes and hurricanes), equipment failure, human error, or deliberate sabotage and attack by terrorists. In this project, pattern recognition of local parameter changes in distributed monitoring systems will be used to identify any th ....Emergency Control of Catastrophic Disturbances in a Power System. Following the tragic events of 11 September 2001, there are increased concerns about the security and robustness of power systems to evolving spectra of threats, such as natural disasters (e.g., earthquakes and hurricanes), equipment failure, human error, or deliberate sabotage and attack by terrorists. In this project, pattern recognition of local parameter changes in distributed monitoring systems will be used to identify any threatened breakdown in the power system. Once identified, methods based on intelligent agents will be used to trigger the appropriate countermeasures to maintain the integrity of transmission grids.Read moreRead less
Special Research Initiatives - Grant ID: SR0567373
Funder
Australian Research Council
Funding Amount
$99,696.00
Summary
Collection, Sharing, Visualisation and Analysis of locally gathered information from geographically remote areas vulnerable to tidal waves. This project will set up a virtual organization for tsunami related data analysis using grid technology. Due to geologically remote areas/countries involved the sharing of seismic, tidal and other locally gathered tsunami related information is critical to issuing a warning. In collaboration with Australian and International partners, this project will explo ....Collection, Sharing, Visualisation and Analysis of locally gathered information from geographically remote areas vulnerable to tidal waves. This project will set up a virtual organization for tsunami related data analysis using grid technology. Due to geologically remote areas/countries involved the sharing of seismic, tidal and other locally gathered tsunami related information is critical to issuing a warning. In collaboration with Australian and International partners, this project will explore: new avenues of tsunami-related data collection, which are currently not available; new data fusion methods; data sharing strategies; visualisation and analysis methods; and develop sensing methods to gather data on animal behaviours often reported as a possible way of identifying similar disasters.Read moreRead less
Effective Fuzzy Systems for Complex Structured Data Using Fuzzy Signatures. We are developing systematic, heuristic and mathematical techniques to produce effective fuzzy systems for complex structured data. Many or most real world problems have data which has interdependent sub-components depending on the context (eg only female patients need be tested for pregnancy), and often has missing components. Our techniques use fuzzy signatures to extend simple fuzzy systems to deal with data with such ....Effective Fuzzy Systems for Complex Structured Data Using Fuzzy Signatures. We are developing systematic, heuristic and mathematical techniques to produce effective fuzzy systems for complex structured data. Many or most real world problems have data which has interdependent sub-components depending on the context (eg only female patients need be tested for pregnancy), and often has missing components. Our techniques use fuzzy signatures to extend simple fuzzy systems to deal with data with such complex (sub-)structure. This produces effective fuzzy systems with wide applicability to real problems, in telecommunications, and petroleum reservoir data.Read moreRead less
Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by ....Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by Monash) and Support Vector Machines, in order to create efficient tailor-made software.
Our software will respond to specific groups of users, and their changes over time, rather than just the average user. Moreover, it will integrate the functionalities of existing individual data mining software.Read moreRead less
DEVELOPING A SMART FIRE RISK ADVISORY SYSTEM USING FIRE MODELLING AND KNOWLEDGE-BASED SYSTEMS TECHNOLOGIES. This project aims to develop a prototype fire risk advisory system for fire prevention and protection. Intelligent knowledge-based systems technologies will be tailored to provide a standardised approach for fire risk analysis by using collective expertise of fire engineers and fire modelling. This project will lead to a significant advancement to the development of intelligent systems tec ....DEVELOPING A SMART FIRE RISK ADVISORY SYSTEM USING FIRE MODELLING AND KNOWLEDGE-BASED SYSTEMS TECHNOLOGIES. This project aims to develop a prototype fire risk advisory system for fire prevention and protection. Intelligent knowledge-based systems technologies will be tailored to provide a standardised approach for fire risk analysis by using collective expertise of fire engineers and fire modelling. This project will lead to a significant advancement to the development of intelligent systems techniques for industrial applications and provide a better fire risk analysis tool for fire protection and preventions with the benefit of reduced risk for buildings.
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