Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical a ....Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical and real-time physiological data. This project will develop a methodology and technology that supports neonatal analysis incorporating a framework to mine data for trend detection, resulting in higher survival rates.Read moreRead less
High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will d ....High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will develop a methodology and technology that supports the cross correlation of neonatal clinical and physiological data for complex neonatal medical alerts, through the use of agents within an event stream processor, resulting in higher survival rates.Read moreRead less
Special Research Initiatives - Grant ID: SR0354696
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
ARC Research Network in Enterprise Information Infrastructure (EII). This research network targets investigation of Enterprise Computing and its infrastructure, with an emphasis on emerging advanced technologies and practices, for large-scale enterprises, government agencies and community groups. EII will bring together the best IT researchers, leading edge users and key IT technology providers to support consolidated, technically sound, integrated and strategically positioned research towards s ....ARC Research Network in Enterprise Information Infrastructure (EII). This research network targets investigation of Enterprise Computing and its infrastructure, with an emphasis on emerging advanced technologies and practices, for large-scale enterprises, government agencies and community groups. EII will bring together the best IT researchers, leading edge users and key IT technology providers to support consolidated, technically sound, integrated and strategically positioned research towards solutions for next generation Enterprise Computing. Web services, the Semantic Web and Service Oriented Computing are fast emerging new disciplines with far reaching impacts. EII will contribute to their growth and to their practical deployment in Australia and beyond. The establishment of EII network will dramatically add value to already supported but often fragmented research projects.Read moreRead less
Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since ....Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since in an arbitrary distance metric the intersection between the k-nn sphere and the bounding envelopes of nodes in an index tree cannot be easily calculated. This project aims to seek a novel solution. It will create a great impact on and have many applications in high dimensional visual information retrieval, instance-based learning, complex analysis, non-parametric density estimation, etc.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. ....Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. The empirical data and rigorous research protocols will enhance Australia's reputation as a leader in the area of organisational use of business-analytic systems.Read moreRead less
An intelligent, user-sensitive portal to breast cancer knowledge online. Research indicates dissatisfaction with the quality of information provision amongst women with breast cancer and their families, particularly in rural and regional areas. Information and decision-support needs vary depending on disease stage, education, age, location, and ethnicity. Customised, in-time information access is critically important to BreastCare Victoria and the Breast Cancer Action Group as it impacts signifi ....An intelligent, user-sensitive portal to breast cancer knowledge online. Research indicates dissatisfaction with the quality of information provision amongst women with breast cancer and their families, particularly in rural and regional areas. Information and decision-support needs vary depending on disease stage, education, age, location, and ethnicity. Customised, in-time information access is critically important to BreastCare Victoria and the Breast Cancer Action Group as it impacts significantly on health and life-style decisions. This joint project analyses user needs, assesses and describes resources in user-sensitive ways, and designs and prototypes an intelligent portal that provides differentiated access to breast cancer resources online. It also advances general understandings of intelligent information provision.
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Towards Scalable, Internet-Based RFID Traceability Networks. Food and drug safety is a major public health issue in Australia. Recent events involving poisoning of chocolate bars and paracetamol tablets in Australia have demonstrated the urgent need for improved ways of locating and recalling commercial products that have been released into the community. This project will develop novel techniques for locating items in large-scale distribution networks driven by RFID (Radio Frequency Identificat ....Towards Scalable, Internet-Based RFID Traceability Networks. Food and drug safety is a major public health issue in Australia. Recent events involving poisoning of chocolate bars and paracetamol tablets in Australia have demonstrated the urgent need for improved ways of locating and recalling commercial products that have been released into the community. This project will develop novel techniques for locating items in large-scale distribution networks driven by RFID (Radio Frequency Identification) technology. The outcomes of the project will make it easier to rapidly and accurately pinpoint product locations in the event of problems such as an illness outbreak due to contaminated food or counterfeited drugs. Read moreRead less
Smart Information Portals: Meeting knowledge and decision support needs of health care consumers for quality online information. Smart information portals, tailored to the communities needs, will contribute to emerging national information infrastructure for consumer focused information provision. They will support government initiatives promoting the role of online access to reliable, quality information in achieving good health, patient empowerment, participation in informed decision making, s ....Smart Information Portals: Meeting knowledge and decision support needs of health care consumers for quality online information. Smart information portals, tailored to the communities needs, will contribute to emerging national information infrastructure for consumer focused information provision. They will support government initiatives promoting the role of online access to reliable, quality information in achieving good health, patient empowerment, participation in informed decision making, self-management, and greater treatment compliance. Through the National Research Priority 3 goal of smart information use, the project addresses Priority 2 goals relating to ageing well; ageing productively; preventive health care; and strengthening the social and economic fabric to enable Australians to make choices that lead to healthy, productive and fulfilling lives.Read moreRead less
Coordinated and Cooperative Load Sharing between Content Delivery Networks. Popular web services can experience severe downtimes as the result of heavy traffic. Enabling coordinated and cooperative content delivery between existing Content Delivery Networks (CDNs) will allow a CDN provider to rapidly 'scale-out' without investing in new infrastructure, to meet both flash crowds and anticipated increases in demand. Improved cost effectiveness, performance and locality for providers and end-users ....Coordinated and Cooperative Load Sharing between Content Delivery Networks. Popular web services can experience severe downtimes as the result of heavy traffic. Enabling coordinated and cooperative content delivery between existing Content Delivery Networks (CDNs) will allow a CDN provider to rapidly 'scale-out' without investing in new infrastructure, to meet both flash crowds and anticipated increases in demand. Improved cost effectiveness, performance and locality for providers and end-users can be achieved by leveraging existing infrastructure provided by other CDNs, creating economies of scale that were previously impossible. This is crucial for uses on the so-called edges of the internet (e.g. Australia) that depend on a small number of expensive data links to the major data centres in Europe and the USA.Read moreRead less