Industrial Transformation Training Centres - Grant ID: IC180100008
Funder
Australian Research Council
Funding Amount
$3,981,223.00
Summary
ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing. The ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing aims to connect the detailed microscopic characteristics of materials with their macroscopic properties and design characteristics of natural and manufactured structures. It will train a new generation of researchers and practitioners in the emerging discipline of Digital Materials. The approach allows optimisation at all scales, enabling cost ....ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing. The ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing aims to connect the detailed microscopic characteristics of materials with their macroscopic properties and design characteristics of natural and manufactured structures. It will train a new generation of researchers and practitioners in the emerging discipline of Digital Materials. The approach allows optimisation at all scales, enabling cost reductions and performance enhancements in key industries, including Oil, Gas and Energy Resources, Medical Technologies, and Advanced Manufacturing. The Centre expects to reduce the time needed in the prototyping cycle and product development, increasing industry’s capacity for accelerated innovation. The developments will build world-class Australian capabilities for developing high-value scaleable production of bespoke products and optimised process design.Read moreRead less
Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algori ....Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algorithms for applied researchers. This project benefits not only advanced manufacturing by finding optimal stopping time for wood panel compression, but also superior forecasting for mortality in demography, climate data in environmental science, asset returns in finance, and electricity consumption in economics. Read moreRead less
Leveraging 3D computer vision for camera-based precise geo-localisation. This project aims to develop advanced 3D computer vision and image processing technology that can turn regular cameras into high-precision location-sensing devices. Spatial Location is a fundamental type of information of our physical world. Determining the precise location of people, vehicle, and mobile devices is essential for many critical applications. Outcomes of the project will enable a wide range of novel applicatio ....Leveraging 3D computer vision for camera-based precise geo-localisation. This project aims to develop advanced 3D computer vision and image processing technology that can turn regular cameras into high-precision location-sensing devices. Spatial Location is a fundamental type of information of our physical world. Determining the precise location of people, vehicle, and mobile devices is essential for many critical applications. Outcomes of the project will enable a wide range of novel applications of significant social, environmental and economic value, such as Location-Aware Service, Environment Monitoring, Augmented Reality, Autonomous Vehicle, and Rapid Emergency Response. The project will enhance Australia's international competitive advantage in forefront of ICT research and technology innovation.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less
Clarence River Green Prawn Market Diversification Assistance Measures
Funder
Fisheries Research and Development Corporation
Funding Amount
$165,000.00
Summary
The Clarence River Region is known for its high-quality prawn markets. The region was kept profitable during COVID restrictions due to a significant portion of the fisher directing its product to the highly profitable bait market. This diversification away from the consumer market has ensured stability for the region. Many fishing businesses pivoted their strategies to meet this new buyer to the region. The loss of the uncooked prawn market in the Clarence region will therefore destabilize t ....The Clarence River Region is known for its high-quality prawn markets. The region was kept profitable during COVID restrictions due to a significant portion of the fisher directing its product to the highly profitable bait market. This diversification away from the consumer market has ensured stability for the region. Many fishing businesses pivoted their strategies to meet this new buyer to the region. The loss of the uncooked prawn market in the Clarence region will therefore destabilize the industry. The restriction of uncooked prawn trade therefore must be addressed through market research, diversification and activation. However, there is immediate need for alternative markets so an intense focused market activation and access is the key. PFA has identified key market persons that can create links between industry and high-end chefs to: 1. Identify alternative market uses that fall within the quarantine requirements 2. Start immediate market trials and activation 3. Review online presence and build industry skills to improve online presence for sales • It is intended that this will lead into immediate supply agreements to these alternative markets that will in turn remove burden on the existing cooked prawn market
Objectives: 1. To identify and trial supplies of Clarence River prawns to alternative market 2. To activate alternative markets to reduce negative impact of trade restriction to the Clarence River region 3. To build skills within local fishers to build online presence Read moreRead less
Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory a ....Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory and algorithms that allow physical and mathematical models to be embedded within a deep learning framework, providing performance guarantees and interpretability. This would likely benefit machine learning based products that can understand the world and interact with humans naturally through vision and language.Read moreRead less
Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance witho ....Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.Read moreRead less
Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces an ....Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.Read moreRead less
Improving Southern Rock Lobster On-vessel Handling Practices, Data Collection And Industry Tools For Lobster Quality Assessment
Funder
Fisheries Research and Development Corporation
Funding Amount
$538,604.00
Summary
The export of Southern Rock Lobster (SRL) from Southern Australia to international markets is one of Australia's most valuable fisheries. There are increasing trends in post-harvest mortality of SRL confirmed by the recent Fisheries Research and Development Corporation project (FRDC 2016-235). This is costing the industry millions due to stock losses, decreased consumer confidence in product quality and reputational damage to the SRL market brand. The causes of this increased post-harvest mortal ....The export of Southern Rock Lobster (SRL) from Southern Australia to international markets is one of Australia's most valuable fisheries. There are increasing trends in post-harvest mortality of SRL confirmed by the recent Fisheries Research and Development Corporation project (FRDC 2016-235). This is costing the industry millions due to stock losses, decreased consumer confidence in product quality and reputational damage to the SRL market brand. The causes of this increased post-harvest mortality are inconsistent across the industry sector with a range of factors implicated including environmental stressors, novel health conditions, and sub-optimal post-harvest practices. Results from (FRDC2016-235) indicate a need to optimise live lobster management processes across the entire post-harvest chain of custody in-order to minimize lobster mortality and enhance the economics of the SRL fishing and processing industry sectors.
The FRDC SRL live holding project (2016-235) conducted an analysis of the processing industry sector practices and provided guidance for best practices. These recommendations have been welcomed by the industry and further consultation has identified a critical need to extend this approach to the fishing component of the industry.
This project will address these key industry priorities and conduct an analysis of on-vessel live lobster handling and holding practices, quantify the impact of systems and practices on lobster quality and provide recommendations on improving on-vessel post-harvest practices. The current FRDC traceability project (FRDC 2016-177) is trialing a range of traceability technologies that this proposed new project will extend and enhance on-vessels to strengthen the capture, monitoring, and analysis of post-harvest data on lobster welfare, quality, and handling practices.
This project will also extend the development of practical and easy to use tools for the evaluation of lobster health including the handheld lactate meter and refractive index. Building evidenced-based approaches to measuring health and stress will provide all industry sectors with improved measurement of quality, animal welfare, and sustainability at all points in the supply chain.
Objectives: 1. Investigate the impacts of on-vessel handling and maintenance practices on live SRL post-harvest performance 2. Develop practical tools for the improved management of SRL industry live lobster operations (ie hand-held lactate meter and refractive index including thresholds for poor lobster performance) 3. Extend findings to the SRL industry (best practice guides and workshops) and incorporation of results into the SRL Clean green program. Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less