An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed all ....An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed allowing the estimation of the proximity of objects for road safety and rating. The expected outcome will be new identification techniques and software which can be incorporated with road data collection systems.Read moreRead less
Application of artificial neural network in flood emergency decision support system. This project will develop a method for rapid estimation of flood water levels. This will increase the warning time for flood evacuation in small coastal catchments where traditional estimating techniques are too time-consuming.
Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of th ....Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of the information provided to the models (including measures of strategy, recent accounting metrics, global context). We also challenge the merits of a universal model by developing and testing a novel hybrid intelligent approach combining neural networks, genetic algorithms and self-organising maps, applicable to global markets.Read moreRead less
Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Intelligent techniques to exploit the dynamic temporal structure in detection of attacks in credit application fraud. Obtaining credit using fraudulent information costs financial institutions billions of dollars. This project develops fraud detection methods in credit applications, working with credit bureau data. Existing fraud detection models are mostly applicable to transaction fraud, rather than application fraud, and are static. Fraudsters however constantly change their method of attack. ....Intelligent techniques to exploit the dynamic temporal structure in detection of attacks in credit application fraud. Obtaining credit using fraudulent information costs financial institutions billions of dollars. This project develops fraud detection methods in credit applications, working with credit bureau data. Existing fraud detection models are mostly applicable to transaction fraud, rather than application fraud, and are static. Fraudsters however constantly change their method of attack. The temporal characteristics of fraud attacks provide an additional source of information that can be exploited to gain increased predictive power. We propose a hybrid intelligent approach to construct models that are sensitive to the temporal dynamics of fraud attacks, and evolve to acknowledge the changing behaviour of fraudsters.Read moreRead less
Handling unreliable, uncertain and inadequate data for Intelligence led Investigation. Intelligence led investigation has been successful recently in drug and people smuggling, preparation or instigation of acts of terrorism, and can benefit profoundly from the techniques we will develop, in the timely management and inference from many sources and kinds of uncertain information. This work will assist in making Australia a safer and more secure country.
E.g., Australian Bureau of Statistics ....Handling unreliable, uncertain and inadequate data for Intelligence led Investigation. Intelligence led investigation has been successful recently in drug and people smuggling, preparation or instigation of acts of terrorism, and can benefit profoundly from the techniques we will develop, in the timely management and inference from many sources and kinds of uncertain information. This work will assist in making Australia a safer and more secure country.
E.g., Australian Bureau of Statistics figures show that for 2004, investigations of some 35% of murders, 63% of kidnappings, and 80% of robberies are incomplete at 30 days. Terrorism investigations are harder in that usually there is no initial crime trigger for an investigation. Any assistance our tools can provide in will be of significant benefit to Australia.Read moreRead less
On Line Real Time Inspection of Vehicle Structures. The aim of this project is to develop an automated, on-line, real-time, inspection system that can detect incorrect placement or absence of specific components on the underside of a vehicle structure. The inspection system is to be integrated with a factory wide quality control and information gathering system. Development of an automated inspection system will enable the reliable identification of defects and tracking of quality levels in the ....On Line Real Time Inspection of Vehicle Structures. The aim of this project is to develop an automated, on-line, real-time, inspection system that can detect incorrect placement or absence of specific components on the underside of a vehicle structure. The inspection system is to be integrated with a factory wide quality control and information gathering system. Development of an automated inspection system will enable the reliable identification of defects and tracking of quality levels in the final assembly station. The expected outcome is the design and implementation in prototype form, of an intelligent, automated inspection system that can accommodate a wide range of product variants.Read moreRead less
Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PT ....Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PTSD, without PTSD, and malingered PTSD. This study will lead to a biological assessment that can objectively index PTSD and be resistant to intentional feigning. These data will significantly enhance legal assessments of PTSD and facilitate compensation resolution.Read moreRead less
Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will ....Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock. Read moreRead less
Intelligent Resource Allocation Techniques for Next Generation Wireless Mobile Communication Networks. The project will develop radio and network resource allocation techniques to maximise network utilisation and to offer guaranteed Quality of Service (QoS) for multimedia traffic in 3G/4G wireless mobile communication networks. In particular, this work will study the problem of radio channel allocation in wireless IP (Internet protocol) multimedia networks. The project will develop resource allo ....Intelligent Resource Allocation Techniques for Next Generation Wireless Mobile Communication Networks. The project will develop radio and network resource allocation techniques to maximise network utilisation and to offer guaranteed Quality of Service (QoS) for multimedia traffic in 3G/4G wireless mobile communication networks. In particular, this work will study the problem of radio channel allocation in wireless IP (Internet protocol) multimedia networks. The project will develop resource allocation algorithms based on traffic conditions, link qualities and service requirements using statistical traffic models, mobile software agents and neural network techniques.
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