Studying Discretisation Behaviours in Variable Structure Control Systems. Variable structure control is a technology that helps build very simple and effective switching control devices for dealing with environmental uncertainties, which are widely used, for example, in industrial control systems/processes. The outcomes from this research will help the understanding of control performance deterioration due to discretisation and developing effective measures for protection from possible ill beha ....Studying Discretisation Behaviours in Variable Structure Control Systems. Variable structure control is a technology that helps build very simple and effective switching control devices for dealing with environmental uncertainties, which are widely used, for example, in industrial control systems/processes. The outcomes from this research will help the understanding of control performance deterioration due to discretisation and developing effective measures for protection from possible ill behaviours of these control devices. This research will place Australia in the forefront of the development of this new technology, resulting in enhanced reliability of control devices, improved productivity and cost saving for industries, and consequent improvement in quality of life.Read moreRead less
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
Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a sys ....Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a system that is highly efficient, accurate and corrupted-data-tolerant classification solutions for individual stream data as well as multiple stream data. The expected benefits will be far-ranging and adaptable to many domains, such as smart home, medical and healthcare, transportation and manufacturing. Read moreRead less
Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering bus ....Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering business operations towards consistent and compliant outcomes and higher performance, and assist analysts and auditors to explain deviant operations. This should significantly benefit industries such as healthcare, insurance, retail and the government where compliance and integrity management are imperative.Read moreRead less
Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be design ....Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be designed with any false alarm rate. This is important since frequent false alarms lead to wasted resources and operators will stop using the system. The technology once developed can be transferred to many other application areas such as urban water supplies, pipelines for oil and gas, and the process and manufacturing industries.Read moreRead less
Mathematical Foundations of Distributed Radar. Conventional military threats to Australia are large or fast moving objects such as ships and aircraft and conventional radar systems are designed to handle such threats. Recent global political shifts have changed the threats to include objects that are small and slowly moving, such as people, small vehicles and boats. Advances in radar hardware make feasible small, low-powered, devices with inherently reduced performance in comparison to deployed ....Mathematical Foundations of Distributed Radar. Conventional military threats to Australia are large or fast moving objects such as ships and aircraft and conventional radar systems are designed to handle such threats. Recent global political shifts have changed the threats to include objects that are small and slowly moving, such as people, small vehicles and boats. Advances in radar hardware make feasible small, low-powered, devices with inherently reduced performance in comparison to deployed systems. Methods for information integration over a dispersed system of such small devices, design of suitable waveform suites and clever local signal processing algorithms will be developed to achieve the performance improvements the hardware offers, to handle the new threats.Read moreRead less
Smart coding for improved performance of complexity constrained devices. The technical innovations of this project have the potential to have an immediate impact on compression technology. The overall expected outcome of the project consists of new compression algorithms for the australian telecommunications industry. The novel outcomes of the project lead to better quality images in video mobile communications applications. As such, the project operates at the forefront of innovative next gener ....Smart coding for improved performance of complexity constrained devices. The technical innovations of this project have the potential to have an immediate impact on compression technology. The overall expected outcome of the project consists of new compression algorithms for the australian telecommunications industry. The novel outcomes of the project lead to better quality images in video mobile communications applications. As such, the project operates at the forefront of innovative next generation mobile video telephony.Read moreRead less
Closing the Gap: Fundamental Capacity Limits for Interfering Wireless Networks and Practical Methods to Get There. Enhancing communication networks to achieve broadband data rates is now a national priority. Wireless communications is hugely important, with mobile phones, wireless computers, and wireless Internet access to homes, all rapidly growing areas. This project addresses the fundamental bottleneck of interference between links in wireless networks. Wireless unplugs the user and allows hi ....Closing the Gap: Fundamental Capacity Limits for Interfering Wireless Networks and Practical Methods to Get There. Enhancing communication networks to achieve broadband data rates is now a national priority. Wireless communications is hugely important, with mobile phones, wireless computers, and wireless Internet access to homes, all rapidly growing areas. This project addresses the fundamental bottleneck of interference between links in wireless networks. Wireless unplugs the user and allows him/her to roam, and to set up ad-hoc networks with other users. This research will thus contribute to Australia's increased productivity. Just as importantly, this project addresses fundamental research; it will increase Australia's knowledge base and provide training for students and researchers in how to think about communications problems.Read moreRead less
Information Capacity of High Data Rate Wireless Networks. Future wireless networks must support huge data rates in order to meet
the escalating demands of emerging Internet applications. Required
capacities far exceed those which can be provided by existing wireless
systems. Space-time coding is one very promising new technique which
may provide a solution. In spite of the potentials of this technique,
there are many important practical issues that affect the realizable
capacities. We a ....Information Capacity of High Data Rate Wireless Networks. Future wireless networks must support huge data rates in order to meet
the escalating demands of emerging Internet applications. Required
capacities far exceed those which can be provided by existing wireless
systems. Space-time coding is one very promising new technique which
may provide a solution. In spite of the potentials of this technique,
there are many important practical issues that affect the realizable
capacities. We aim to investigate two such issues: the impact of
channel uncertainty at the receiver, and the impact of multiple access
interference. This research will provide new directions for the design
of wireless data networks.
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Discovery Early Career Researcher Award - Grant ID: DE120102601
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Distribution-free system identification: building models from experimental data under minimal statistical assumptions. In fields with strict safety or quality requirements, such as production control, communication and navigation, there is a great need for methods that can build models with guaranteed performance. However, there is a lack of efficient solutions that can work under minimal assumptions on the disturbances; the project aims at developing such methods.