Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian ent ....Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian enterprises, and thus improve their operations. Australian software designers will also benefit, as they will be able to produce software that combines high performance with assurance that concurrency errors will not occur.Read moreRead less
Implementing Bioinformatics Algorithms using .NET-based Stored Procedures in a Database Cluster. We will create the technology for significantly improving the management, processing and sharing of biological data. Areas in which Australia has a large stake, including the development of new drugs, disease research, and agricultural genetic engineering, stand to benefit considerably from these advances. This contribution by Australian researchers to a global problem will have a positive impact on ....Implementing Bioinformatics Algorithms using .NET-based Stored Procedures in a Database Cluster. We will create the technology for significantly improving the management, processing and sharing of biological data. Areas in which Australia has a large stake, including the development of new drugs, disease research, and agricultural genetic engineering, stand to benefit considerably from these advances. This contribution by Australian researchers to a global problem will have a positive impact on our own health industry, and will provide the foundation for improvements in agriculture and financial services.Read moreRead less
Automating real-time feedback in virtual reality training through data mining. This project will use data mining techniques to develop a real-time feedback system that can be used in virtual reality training environments. This system will not only improve trainees' learning, it will also lead to more efficient use of virtual reality training in industries such as aviation, aerospace, mining, health and emergency services.
Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective ....Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.Read moreRead less
Development of a Global Decision Support System towards Virtual Manufacturing. The aim of this research project is to develop a global decision support system (GDSS) in order to assist SMEs to improve their competitiveness in the dynamic global market while providing an industry oriented research training for a high calibre PhD student, who would be a valuable asset to Australia. The GDSS will help SMEs leverage their operations in a global context and to adopt a realistic virtual manufacturing ....Development of a Global Decision Support System towards Virtual Manufacturing. The aim of this research project is to develop a global decision support system (GDSS) in order to assist SMEs to improve their competitiveness in the dynamic global market while providing an industry oriented research training for a high calibre PhD student, who would be a valuable asset to Australia. The GDSS will help SMEs leverage their operations in a global context and to adopt a realistic virtual manufacturing system in the future. The significance of the project includes developing a new methodology and a GDSS to assess virtual manufacturing issues for SMEs and assisting them making timely decisions.Read moreRead less
Trusted business processes. This project aims to use conceptual design, process modelling and co-design approaches to create a structured approach for the management of trust. With a focus on business processes, it is intended to develop research- informed methods in order to (1) identify and specify trust concerns and opportunities, (2) model these within a common process modelling language and (3) propose patterns for how to mitigate trust concerns and how to benefit from opportunities. If suc ....Trusted business processes. This project aims to use conceptual design, process modelling and co-design approaches to create a structured approach for the management of trust. With a focus on business processes, it is intended to develop research- informed methods in order to (1) identify and specify trust concerns and opportunities, (2) model these within a common process modelling language and (3) propose patterns for how to mitigate trust concerns and how to benefit from opportunities. If successful, this would lead to an operational, and world first, detailed trust methodology for organisations in all sectors. As a result, Australian customers would engage with business processes with reduced trust concerns and experience increased integrity and benevolence.Read moreRead less
Real-time Analytics on Urban Trajectory Data for Road Traffic Management. This project aims to develop real-time analytics and data management capabilities that leverage large-scale urban trajectory data to provide road operators with real-time insights into population movements and enable data-driven, customer-centric network operations. Current traffic management practices rely heavily on aggregate vehicle count data from fixed road sensors, which have limitations in accurately measuring traff ....Real-time Analytics on Urban Trajectory Data for Road Traffic Management. This project aims to develop real-time analytics and data management capabilities that leverage large-scale urban trajectory data to provide road operators with real-time insights into population movements and enable data-driven, customer-centric network operations. Current traffic management practices rely heavily on aggregate vehicle count data from fixed road sensors, which have limitations in accurately measuring traffic demand and network congestion propagation. This project seeks to develop innovative technologies to use a wide variety of data sources, especially massive trajectories of vehicles moving across the network, to better understand people's travel demands and road usage patterns and thus better manage the transport system.
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Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning
materials, contracts, plans, designs, software configurations, etc)
is increasingly expected in knowledge processing and decision
making. This requires the discovery of discrete underlying models and
taxonomies of subject domains and statistical matching in dynamically
varying contexts defined by changing personal preferences, tasks,
objectives and other chara ....Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning
materials, contracts, plans, designs, software configurations, etc)
is increasingly expected in knowledge processing and decision
making. This requires the discovery of discrete underlying models and
taxonomies of subject domains and statistical matching in dynamically
varying contexts defined by changing personal preferences, tasks,
objectives and other characteristics. This project addresses formal
models of context and similarity based in applied lattice theory
(formal concepts), feature logic and statistical retrieval. Parallel
algorithms will be developed, analysed and benchmarked to enable
high-performance processing of vast numbers of heterogeneous objects
in a distributed knowledge web.Read moreRead less
The key strategies in firms' realisation of value from ICT: A transformational model of ICT value generation. Studies indicate that information and communication technologies (ICT) have contributed significantly to Australia's productivity gains over the last decade. It is not well understood, however, why some firms and some industries have been able to benefit significantly more from ICT use than others. This study will show the strategies and practices that are used by the firms that gain max ....The key strategies in firms' realisation of value from ICT: A transformational model of ICT value generation. Studies indicate that information and communication technologies (ICT) have contributed significantly to Australia's productivity gains over the last decade. It is not well understood, however, why some firms and some industries have been able to benefit significantly more from ICT use than others. This study will show the strategies and practices that are used by the firms that gain maximum benefit from ICT - the 'ICT winners'. The lessons learned will allow other firms to gain further benefits from ICT, potentially leading overall to further economic gains by industries and the nation. Read moreRead less
Classifying the indirect costs of information systems and information technology in business. Many businesses are increasing their expenditure on IS/IT to obtain a strategic competitive advantage. Traditional approaches to IS/IT appraisal are unable to accommodate the costs associated with deploying 'organisational-wide' IS/IT solutions because of their qualitative characteristics. The inability of managers to determine the 'true' costs of IS/IT are attributable to a lack of knowledge and unders ....Classifying the indirect costs of information systems and information technology in business. Many businesses are increasing their expenditure on IS/IT to obtain a strategic competitive advantage. Traditional approaches to IS/IT appraisal are unable to accommodate the costs associated with deploying 'organisational-wide' IS/IT solutions because of their qualitative characteristics. The inability of managers to determine the 'true' costs of IS/IT are attributable to a lack of knowledge and understanding of IS/IT related costs. This research will extend the myopia of traditional 'direct' financial cost analysis by identifying 'indirect' cost factors. A model that integrates cost taxonomies and performance measures/metrics of IS/IT will be developed as a frame of reference for IS/IT decision-makers.Read moreRead less