Models of Knowledge Restructuring. In a world of rapid change, people must frequently adapt cognitive skills to new technologies. This often requires restructuring of knowledge, from simple initial strategies to increasingly complex ways of mastering the task. This is not always easy and people sometimes resist knowledge restructuring. We present a network model of knowledge restructuring that combines attentional processes with error-driven learning. The model accounts for several existing resu ....Models of Knowledge Restructuring. In a world of rapid change, people must frequently adapt cognitive skills to new technologies. This often requires restructuring of knowledge, from simple initial strategies to increasingly complex ways of mastering the task. This is not always easy and people sometimes resist knowledge restructuring. We present a network model of knowledge restructuring that combines attentional processes with error-driven learning. The model accounts for several existing results and makes predictions that guide the proposed research. Three factors will be examined empirically: (1) the role of directing attention to alternative strategies; (2) the imperfection of existing knowledge; and (3) the complexity of alternative strategies.Read moreRead less
Advancing the science of willpower: investigating the mechanisms and processes of self-control. Willpower or 'good' self control is important for success in our academic, occupational, and social lives. This project will use cutting-edge scientific methods to investigate how glucose, the primary fuel for body function, promotes 'good' self-control and stimulates regions in the brain important for self-control.
Smart CMOS Vision Sensors in Deep Sub-0.25um CMOS Technologies. This research project aims to develop a new generation of smart vision sensors featuring on-chip and pixel-level implementation of human vision based algorithms. Built in state-of-the-art deep sub-0.25um CMOS technologies, these imagers will feature extensive in-pixel processing power in contrast to the currently commercially available CMOS vision sensors. This will enable on-chip vision-based decision making but also increased on-c ....Smart CMOS Vision Sensors in Deep Sub-0.25um CMOS Technologies. This research project aims to develop a new generation of smart vision sensors featuring on-chip and pixel-level implementation of human vision based algorithms. Built in state-of-the-art deep sub-0.25um CMOS technologies, these imagers will feature extensive in-pixel processing power in contrast to the currently commercially available CMOS vision sensors. This will enable on-chip vision-based decision making but also increased on-chip image processing. These innovative system-on-chip features will contribute towards the positioning of CMOS imaging technology as the technology of choice for most digital imaging applications, in place of the existing, and so far unchallenged, CCD technology.
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A 3D CMOS Vision Sensor with Pixel Level Analog-to-Digital Converter and Intelligent Processing. The aim of this research project is to build a smart vision sensor using advanced 3D technology. The smart sensor will consist of two vertically stacked levels comprising the vision sensor chip with pixel-level Analog-to-Digital Converter (ADC) and the processing chip for edge and motion detection. The pixel level ADC will be based on new architectures offering improved performance in terms of dynami ....A 3D CMOS Vision Sensor with Pixel Level Analog-to-Digital Converter and Intelligent Processing. The aim of this research project is to build a smart vision sensor using advanced 3D technology. The smart sensor will consist of two vertically stacked levels comprising the vision sensor chip with pixel-level Analog-to-Digital Converter (ADC) and the processing chip for edge and motion detection. The pixel level ADC will be based on new architectures offering improved performance in terms of dynamic range, fill-factor, and signal-to-noise ratio. Both the vision and the processing chips will be realised in standard CMOS technology, which make the smart vision sensor very suitable for low cost consumer electronic applications.Read moreRead less
Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilizati ....Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilization of existing road infrastructure by diffusing traffic to alternate routes, (c) provide economic benefit by allowing one to delay infrastructure expansion, (d) monitoring of aberrant behaviour by road users to ensure a safer road environment, and (e) improved flexibility in deployment of the Wireless Sensor Network to meet the needs of the road authorities and community.Read moreRead less
The Relevance of the Bovine Major Histocompatibility Complex (MHC) to Milk Production. The objective of this project is to provide the dairy industry with an integrated package that includes a ?dairy performance database? linked to DNA-based information to complement existing breeding practices. Our intention is increase the profitability of the dairy industry, hence making a dairy farm a sustainable venture in a deregulated environment. Profitability results from a combination of several fact ....The Relevance of the Bovine Major Histocompatibility Complex (MHC) to Milk Production. The objective of this project is to provide the dairy industry with an integrated package that includes a ?dairy performance database? linked to DNA-based information to complement existing breeding practices. Our intention is increase the profitability of the dairy industry, hence making a dairy farm a sustainable venture in a deregulated environment. Profitability results from a combination of several factors. The drivers of the industry include political, market, environmental, husbandry, nutrition, and genetic factors. These factors are interrelated. In this proposal, we are specifically interested in the relationship between milk yields and the DNA profile of dairy cattle.Read moreRead less
Evolutionary Design for Ore Processing Plants. This project will investigate the use of evolutionary algorithms (EAs) in the design of ore processing plants. Ore processing is a major activity in the Australian mining industry, and a significant source of export dollars. Prior work has demonstrated that EAs can out-perform previous manual and automated design techniques for individual processing units. This project will apply EAs to the design of whole flowsheets containing arbitrary combination ....Evolutionary Design for Ore Processing Plants. This project will investigate the use of evolutionary algorithms (EAs) in the design of ore processing plants. Ore processing is a major activity in the Australian mining industry, and a significant source of export dollars. Prior work has demonstrated that EAs can out-perform previous manual and automated design techniques for individual processing units. This project will apply EAs to the design of whole flowsheets containing arbitrary combinations of different types of units. The complexity of typical flowsheet layouts will require new algorithms to discover improved designs in practical time, so parallel hardware, and new parallel EAs, will be utilised.
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Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefit ....Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefits, such as (a) the strengthening of Australian business competitiveness in these regions by reducing energy costs and increasing energy trading, (b) reduction in ecological impact through smarter utilisation of energy and shifting to renewable sources, (c) encourage local generation and distribution of electricity where communities can trade excess energy.Read moreRead less