An efficient framework for mining outlying aspects
- Authors: Samariya, Durgesh
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: In the era of big data, an immense volume of information is being continuously generated. It is common to encounter errors or anomalies within datasets. These anomalies can arise due to system malfunctions or human errors, resulting in data points that deviate from expected patterns or values. Anomaly detection algorithms have been developed to identify such anomalies effectively from the data. However, these algorithms often fall short in providing insights into why a particular data point is considered as an anomaly. They cannot explain the specific feature subset(s) in which a,data point significantly differs from the majority of the data. To address this limitation, researchers have recently turned their attention,to a new research area called outlying aspect mining. This area focuses on discovering feature subset(s), known as aspects or subspaces, in which anomalous data points exhibit significant deviations from the remaining set of data. Outlying aspect mining algorithms aim to provide a more detailed,understanding of the characteristics that make a data point anomalous. Although outlying aspect mining is an emerging area of research only a few studies have been published so far. One of the key challenges in this field is scaling up these algorithms to handle large datasets, characterised by,either a large data size or high dimensionality. Many existing outlying aspect mining algorithms are not well-suited for such datasets, as they exhaustively enumerate all possible subspaces and utilise density or distance-based anomaly scores to rank subspaces. As a result, most of these algorithms struggle to handle datasets with dimensions exceeding 20. Addressing the scalability issue and developing efficient algorithms for outlying aspect mining in large datasets remain active area of research. The ability to identify and understand the specific feature subsets contributing to anomalies in big data holds great potential for various applications, including fraud detection, network intrusion detection, and anomaly-based decision support systems. Existing outlying aspect mining methods are suffering from three main problems. Firstly, these measures often rely on distance or density-based calculations, which can be biased toward high-dimensional spaces. As the dimensionality of the subspace increases, the density tends to decrease, making it difficult to assess the outlyingness of data points within specific subspaces accurately. Secondly, distances or density-based measures are computationally expensive, especially when dealing with large-scale datasets that contain millions of data points. As distance and density-based measures require computing pairwise distance, it makes them computationally expensive. In addition to that, existing work uses Z-Score normalisation to make density-based scoring measure dimensionally unbias. However, it adds additional computational overload on already computationally expensive measures. Lastly, existing outlying aspect mining uses brute-force methods to search subspaces. Thus, it is essential to tackle this efficiency issue because when the dimensionality of the data is high – candidate subspace grows exponentially, which is beyond computational resources. This research project aims to solve this challenge by developing efficient and effective methods for mining outlying aspects in high-dimensional and large datasets. I have explored and designed different scoring measures to find the outlyingness of a given data point in each subspace. The effectiveness and efficiency of these proposed measures have been verified with extensive experiments on synthetic and real-world datasets. To overcome the first problem, this thesis first identifies and analyses the condition under which Z-Score based normalisation scoring measure fails to find the most outlying aspects and proposes two different approaches called HMass and sGrid++, both measures are dimensionally unbiased in their raw form, which means they do not require any additional normalisation. sGrid++ is a simpler version of sGrid that is not only efficient and effective but also dimensionality unbiased. It does not require Z-score normalisation. HMass is a simple but effective and efficient histogram-based solution to rank outlying aspects of a given query in each subspace. In addition to detecting anomalies, HMass provides explanations on why the points are anomalous. Both sGrid++ and HMass do not require pair-wise calculation like distance or density-based measures; therefore, sGrid++ and HMass are computationally faster than distance and density-based measures, which solves the second issue of existing work. The effectiveness and efficiency of both sGrid++ and HMass are evaluated using synthetic and real-world datasets. In addition to that, I presented an exciting application of outlying aspect mining in the cybersecurity domain. To tackle the third problem, this thesis proposes an efficient and effective outlying aspect mining framework named OIMiner (for Outlying - Inlying Aspect Miner). It introduces a new scoring measure to compute outlying degree, called Simple Isolation score using Nearest Neighbor Ensemble (SiNNE), which not only detects the outliers but also provides an explanation on why the selected point is an outlier. SiNNE is a dimensionally unbias measure in its raw form, which means the scores produced by SiNNE are compared directly with subspaces having different dimensions. Thus, it does not require any normalisation to make the score unbiased. Our experimental results on synthetic and publicly available real-world datasets revealed that (i) SiNNE produces better or at least the same results as existing scores. (ii) It improves the run time of the existing outlying aspect mining algorithm based on beam search by at least two orders of magnitude. SiNNE allows the existing outlying aspect mining algorithm to run in datasets with hundreds of thousands of instances and thousands of dimensions, which was not possible before.
- Description: Doctor of Philosophy
- Authors: Samariya, Durgesh
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: In the era of big data, an immense volume of information is being continuously generated. It is common to encounter errors or anomalies within datasets. These anomalies can arise due to system malfunctions or human errors, resulting in data points that deviate from expected patterns or values. Anomaly detection algorithms have been developed to identify such anomalies effectively from the data. However, these algorithms often fall short in providing insights into why a particular data point is considered as an anomaly. They cannot explain the specific feature subset(s) in which a,data point significantly differs from the majority of the data. To address this limitation, researchers have recently turned their attention,to a new research area called outlying aspect mining. This area focuses on discovering feature subset(s), known as aspects or subspaces, in which anomalous data points exhibit significant deviations from the remaining set of data. Outlying aspect mining algorithms aim to provide a more detailed,understanding of the characteristics that make a data point anomalous. Although outlying aspect mining is an emerging area of research only a few studies have been published so far. One of the key challenges in this field is scaling up these algorithms to handle large datasets, characterised by,either a large data size or high dimensionality. Many existing outlying aspect mining algorithms are not well-suited for such datasets, as they exhaustively enumerate all possible subspaces and utilise density or distance-based anomaly scores to rank subspaces. As a result, most of these algorithms struggle to handle datasets with dimensions exceeding 20. Addressing the scalability issue and developing efficient algorithms for outlying aspect mining in large datasets remain active area of research. The ability to identify and understand the specific feature subsets contributing to anomalies in big data holds great potential for various applications, including fraud detection, network intrusion detection, and anomaly-based decision support systems. Existing outlying aspect mining methods are suffering from three main problems. Firstly, these measures often rely on distance or density-based calculations, which can be biased toward high-dimensional spaces. As the dimensionality of the subspace increases, the density tends to decrease, making it difficult to assess the outlyingness of data points within specific subspaces accurately. Secondly, distances or density-based measures are computationally expensive, especially when dealing with large-scale datasets that contain millions of data points. As distance and density-based measures require computing pairwise distance, it makes them computationally expensive. In addition to that, existing work uses Z-Score normalisation to make density-based scoring measure dimensionally unbias. However, it adds additional computational overload on already computationally expensive measures. Lastly, existing outlying aspect mining uses brute-force methods to search subspaces. Thus, it is essential to tackle this efficiency issue because when the dimensionality of the data is high – candidate subspace grows exponentially, which is beyond computational resources. This research project aims to solve this challenge by developing efficient and effective methods for mining outlying aspects in high-dimensional and large datasets. I have explored and designed different scoring measures to find the outlyingness of a given data point in each subspace. The effectiveness and efficiency of these proposed measures have been verified with extensive experiments on synthetic and real-world datasets. To overcome the first problem, this thesis first identifies and analyses the condition under which Z-Score based normalisation scoring measure fails to find the most outlying aspects and proposes two different approaches called HMass and sGrid++, both measures are dimensionally unbiased in their raw form, which means they do not require any additional normalisation. sGrid++ is a simpler version of sGrid that is not only efficient and effective but also dimensionality unbiased. It does not require Z-score normalisation. HMass is a simple but effective and efficient histogram-based solution to rank outlying aspects of a given query in each subspace. In addition to detecting anomalies, HMass provides explanations on why the points are anomalous. Both sGrid++ and HMass do not require pair-wise calculation like distance or density-based measures; therefore, sGrid++ and HMass are computationally faster than distance and density-based measures, which solves the second issue of existing work. The effectiveness and efficiency of both sGrid++ and HMass are evaluated using synthetic and real-world datasets. In addition to that, I presented an exciting application of outlying aspect mining in the cybersecurity domain. To tackle the third problem, this thesis proposes an efficient and effective outlying aspect mining framework named OIMiner (for Outlying - Inlying Aspect Miner). It introduces a new scoring measure to compute outlying degree, called Simple Isolation score using Nearest Neighbor Ensemble (SiNNE), which not only detects the outliers but also provides an explanation on why the selected point is an outlier. SiNNE is a dimensionally unbias measure in its raw form, which means the scores produced by SiNNE are compared directly with subspaces having different dimensions. Thus, it does not require any normalisation to make the score unbiased. Our experimental results on synthetic and publicly available real-world datasets revealed that (i) SiNNE produces better or at least the same results as existing scores. (ii) It improves the run time of the existing outlying aspect mining algorithm based on beam search by at least two orders of magnitude. SiNNE allows the existing outlying aspect mining algorithm to run in datasets with hundreds of thousands of instances and thousands of dimensions, which was not possible before.
- Description: Doctor of Philosophy
A financial stress index to model and forecast financial stress in Australia
- Authors: Mukulu, Sandra
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The series of financial crises that cascaded through and rocked much of the world over the past decade created opportunities to draw meaning from the pattern of countries succumbing to crisis and those who appear to be wholly or partially immune. This thesis examines the case of Australia, a developed country that has seldom experienced an endogenous crisis in the last few decades, but has experienced crisis by contagion. This study designs a financial stress index to measure and forecast the health of the Australian economy and proposes a custom-made stress index to: Gauge the potential for a crisis; and Signal when a timely intervention may minimise fear and contagion losses in the Australian financial market. Financial and economic data is used to design indicators for stress in the banking sector and equity, currency and bond markets. Further, this study explores how movements in equity markets of key trading partners of Australia can be used to predict movements in the Australian equity market. The variance-equal weights (VEW) and principal components approach (PCA) are used to subsume 22 stress indicators into a composite stress index. The VEW and PCA stress indexes were examined to determine monitoring and their forecasting capabilities. It was found that the VEW stress index performed better than the PCA stress index, because it provided more consistent estimates for the level of Australian financial stress. Although, both models show some promise, each model fell short of giving adequate forecasts in financial stress especially at the peak time of the 2007-2009 GFC. Thus, more research is needed to understand the complex nature of financial crisis, how crises develop and the techniques that can be used to predict the onset of financial crises.
- Description: Doctor of Philosophy
- Authors: Mukulu, Sandra
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The series of financial crises that cascaded through and rocked much of the world over the past decade created opportunities to draw meaning from the pattern of countries succumbing to crisis and those who appear to be wholly or partially immune. This thesis examines the case of Australia, a developed country that has seldom experienced an endogenous crisis in the last few decades, but has experienced crisis by contagion. This study designs a financial stress index to measure and forecast the health of the Australian economy and proposes a custom-made stress index to: Gauge the potential for a crisis; and Signal when a timely intervention may minimise fear and contagion losses in the Australian financial market. Financial and economic data is used to design indicators for stress in the banking sector and equity, currency and bond markets. Further, this study explores how movements in equity markets of key trading partners of Australia can be used to predict movements in the Australian equity market. The variance-equal weights (VEW) and principal components approach (PCA) are used to subsume 22 stress indicators into a composite stress index. The VEW and PCA stress indexes were examined to determine monitoring and their forecasting capabilities. It was found that the VEW stress index performed better than the PCA stress index, because it provided more consistent estimates for the level of Australian financial stress. Although, both models show some promise, each model fell short of giving adequate forecasts in financial stress especially at the peak time of the 2007-2009 GFC. Thus, more research is needed to understand the complex nature of financial crisis, how crises develop and the techniques that can be used to predict the onset of financial crises.
- Description: Doctor of Philosophy
Neural malware detection
- Authors: Park, Sean
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: At the heart of today’s malware problem lies theoretically infinite diversity created by metamorphism. The majority of conventional machine learning techniques tackle the problem with the assumptions that a sufficiently large number of training samples exist and that the training set is independent and identically distributed. However, the lack of semantic features combined with the models under these wrong assumptions result largely in overfitting with many false positives against real world samples, resulting in systems being left vulnerable to various adversarial attacks. A key observation is that modern malware authors write a script that automatically generates an arbitrarily large number of diverse samples that share similar characteristics in program logic, which is a very cost-effective way to evade detection with minimum effort. Given that many malware campaigns follow this paradigm of economic malware manufacturing model, the samples within a campaign are likely to share coherent semantic characteristics. This opens up a possibility of one-to-many detection. Therefore, it is crucial to capture this non-linear metamorphic pattern unique to the campaign in order to detect these seemingly diverse but identically rooted variants. To address these issues, this dissertation proposes novel deep learning models, including generative static malware outbreak detection model, generative dynamic malware detection model using spatio-temporal isomorphic dynamic features, and instruction cognitive malware detection. A comparative study on metamorphic threats is also conducted as part of the thesis. Generative adversarial autoencoder (AAE) over convolutional network with global average pooling is introduced as a fundamental deep learning framework for malware detection, which captures highly complex non-linear metamorphism through translation invariancy and local variation insensitivity. Generative Adversarial Network (GAN) used as a part of the framework enables oneshot training where semantically isomorphic malware campaigns are identified by a single malware instance sampled from the very initial outbreak. This is a major innovation because, to the best of our knowledge, no approach has been found to this challenging training objective against the malware distribution that consists of a large number of very sparse groups artificially driven by arms race between attackers and defenders. In addition, we propose a novel method that extracts instruction cognitive representation from uninterpreted raw binary executables, which can be used for oneto- many malware detection via one-shot training against frequency spectrum of the Transformer’s encoded latent representation. The method works regardless of the presence of diverse malware variations while remaining resilient to adversarial attacks that mostly use random perturbation against raw binaries. Comprehensive performance analyses including mathematical formulations and experimental evaluations are provided, with the proposed deep learning framework for malware detection exhibiting a superior performance over conventional machine learning methods. The methods proposed in this thesis are applicable to a variety of threat environments here artificially formed sparse distributions arise at the cyber battle fronts.
- Description: Doctor of Philosophy
- Authors: Park, Sean
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: At the heart of today’s malware problem lies theoretically infinite diversity created by metamorphism. The majority of conventional machine learning techniques tackle the problem with the assumptions that a sufficiently large number of training samples exist and that the training set is independent and identically distributed. However, the lack of semantic features combined with the models under these wrong assumptions result largely in overfitting with many false positives against real world samples, resulting in systems being left vulnerable to various adversarial attacks. A key observation is that modern malware authors write a script that automatically generates an arbitrarily large number of diverse samples that share similar characteristics in program logic, which is a very cost-effective way to evade detection with minimum effort. Given that many malware campaigns follow this paradigm of economic malware manufacturing model, the samples within a campaign are likely to share coherent semantic characteristics. This opens up a possibility of one-to-many detection. Therefore, it is crucial to capture this non-linear metamorphic pattern unique to the campaign in order to detect these seemingly diverse but identically rooted variants. To address these issues, this dissertation proposes novel deep learning models, including generative static malware outbreak detection model, generative dynamic malware detection model using spatio-temporal isomorphic dynamic features, and instruction cognitive malware detection. A comparative study on metamorphic threats is also conducted as part of the thesis. Generative adversarial autoencoder (AAE) over convolutional network with global average pooling is introduced as a fundamental deep learning framework for malware detection, which captures highly complex non-linear metamorphism through translation invariancy and local variation insensitivity. Generative Adversarial Network (GAN) used as a part of the framework enables oneshot training where semantically isomorphic malware campaigns are identified by a single malware instance sampled from the very initial outbreak. This is a major innovation because, to the best of our knowledge, no approach has been found to this challenging training objective against the malware distribution that consists of a large number of very sparse groups artificially driven by arms race between attackers and defenders. In addition, we propose a novel method that extracts instruction cognitive representation from uninterpreted raw binary executables, which can be used for oneto- many malware detection via one-shot training against frequency spectrum of the Transformer’s encoded latent representation. The method works regardless of the presence of diverse malware variations while remaining resilient to adversarial attacks that mostly use random perturbation against raw binaries. Comprehensive performance analyses including mathematical formulations and experimental evaluations are provided, with the proposed deep learning framework for malware detection exhibiting a superior performance over conventional machine learning methods. The methods proposed in this thesis are applicable to a variety of threat environments here artificially formed sparse distributions arise at the cyber battle fronts.
- Description: Doctor of Philosophy
Green IT: Sustainability by aligning business requirements with IT resource utilization
- Authors: Subburaj, Srikanth
- Date: 2012
- Type: Text , Thesis , Masters
- Full Text:
- Description: The term “green IT” is defined as “Optimal use of Information and Communication Technology (ICT) for managing the environment sustainability of enterprise operations throughout their life cycles.” Its objective is to create a positive impact on environment through net lowered emissions. The heart of green IT (Information Technology) is the concept of “Environmental Sustainability,” its initiatives are multifaceted to support enterprises “business as usual model,” in low-carbon economy. Many green IT initiatives have provided short–term financial benefits, based on which organizations are now focusing on increased energy efficiency. Since many of these approaches provide less financials benefits’ which are harder to implement but provides improved environmental performance. So the financial benefits and environmental performance should be the multiple objectives in the green IT study.
- Description: Master of Computing (by Research)
- Authors: Subburaj, Srikanth
- Date: 2012
- Type: Text , Thesis , Masters
- Full Text:
- Description: The term “green IT” is defined as “Optimal use of Information and Communication Technology (ICT) for managing the environment sustainability of enterprise operations throughout their life cycles.” Its objective is to create a positive impact on environment through net lowered emissions. The heart of green IT (Information Technology) is the concept of “Environmental Sustainability,” its initiatives are multifaceted to support enterprises “business as usual model,” in low-carbon economy. Many green IT initiatives have provided short–term financial benefits, based on which organizations are now focusing on increased energy efficiency. Since many of these approaches provide less financials benefits’ which are harder to implement but provides improved environmental performance. So the financial benefits and environmental performance should be the multiple objectives in the green IT study.
- Description: Master of Computing (by Research)
Injury epidemiology among Australian female cricketers
- Authors: Perera, Nirmala
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Cricket is a male-dominated sport; however, its popularity among females is increasing. Like other sports, participation in cricket poses the risk of injury to players. Injury problems for female cricketers are virtually unknown, as studies examining cricket injuries include almost exclusively male participants. In other sports, the types of injuries experienced by men and women are known to be different. Therefore, a clear understanding of the extent and types of injuries sustained by female cricket players is required, to underpin appropriately targeted injury prevention strategies. This thesis provides the first detailed epidemiological profile of cricket injuries sustained by women, by: 1. conducting a systematic review describing injuries in competitive team bat or stick sports in women, to enable cricket injuries to be viewed within the perspective of wider, but relevant, injury data, 2. evaluating existing data sources relating to hospital admissions from Victoria and Queensland and successful insurance claims across Australia, 3. examining the nature and incidence of cricket injuries in elite female players using Cricket Australia’s Athlete Management System, and 4. conducting a nationwide self-report survey of injuries during the 2014–15 season. This PhD research represents participants from different levels of play, across age groups and across Australia. The findings indicate that incidence of injuries for female cricketers were higher than expected based on previous findings in comparable sports, except when considered in relation to insurance claims. The cricket injury rate across hospital presentations, insurance claims, the AMS (Fair Play AMS 2016) and self-reported survey data, each of which represents different level of the sports injury pyramid, identified all-rounders and pace bowlers as having a higher incidence of injury than players in other positions. The highest frequency of reported injuries were in the head, hands, knees and ankles. The nature of the most common injuries were dislocations/sprains/strains, fractures, muscle injury, joint injury and gradual onset injuries. At the elite-level, lumber spine stress fractures accounted for a significant amount of time-loss from the sport. In this thesis, findings from the insurance claims, self-reported survey and AMS (Fair Play AMS 2016) data indicated that most injuries were of a low severity and were more likely to be treated outside of healthcare facilities such as hospitals. In summary, patterns of the most common injuries, in terms of anatomical location and nature of the injuries, were consistent throughout community-level players with some similarities to elite-level players. However, the injury mechanisms and risk factors may differ depending on the level of competition and player’s skill. Recommendations are that ongoing injury surveillance should be conducted at all levels of the sport, and surveillance methodology should be tailored to the specific setting, personnel and available resources. Therefore, before implementing an injury surveillance system at the community-level of the sport, more research is needed to fully understand what type of injury surveillance system might be feasible and suitable in this context.
- Description: Doctor of Philosophy
- Authors: Perera, Nirmala
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Cricket is a male-dominated sport; however, its popularity among females is increasing. Like other sports, participation in cricket poses the risk of injury to players. Injury problems for female cricketers are virtually unknown, as studies examining cricket injuries include almost exclusively male participants. In other sports, the types of injuries experienced by men and women are known to be different. Therefore, a clear understanding of the extent and types of injuries sustained by female cricket players is required, to underpin appropriately targeted injury prevention strategies. This thesis provides the first detailed epidemiological profile of cricket injuries sustained by women, by: 1. conducting a systematic review describing injuries in competitive team bat or stick sports in women, to enable cricket injuries to be viewed within the perspective of wider, but relevant, injury data, 2. evaluating existing data sources relating to hospital admissions from Victoria and Queensland and successful insurance claims across Australia, 3. examining the nature and incidence of cricket injuries in elite female players using Cricket Australia’s Athlete Management System, and 4. conducting a nationwide self-report survey of injuries during the 2014–15 season. This PhD research represents participants from different levels of play, across age groups and across Australia. The findings indicate that incidence of injuries for female cricketers were higher than expected based on previous findings in comparable sports, except when considered in relation to insurance claims. The cricket injury rate across hospital presentations, insurance claims, the AMS (Fair Play AMS 2016) and self-reported survey data, each of which represents different level of the sports injury pyramid, identified all-rounders and pace bowlers as having a higher incidence of injury than players in other positions. The highest frequency of reported injuries were in the head, hands, knees and ankles. The nature of the most common injuries were dislocations/sprains/strains, fractures, muscle injury, joint injury and gradual onset injuries. At the elite-level, lumber spine stress fractures accounted for a significant amount of time-loss from the sport. In this thesis, findings from the insurance claims, self-reported survey and AMS (Fair Play AMS 2016) data indicated that most injuries were of a low severity and were more likely to be treated outside of healthcare facilities such as hospitals. In summary, patterns of the most common injuries, in terms of anatomical location and nature of the injuries, were consistent throughout community-level players with some similarities to elite-level players. However, the injury mechanisms and risk factors may differ depending on the level of competition and player’s skill. Recommendations are that ongoing injury surveillance should be conducted at all levels of the sport, and surveillance methodology should be tailored to the specific setting, personnel and available resources. Therefore, before implementing an injury surveillance system at the community-level of the sport, more research is needed to fully understand what type of injury surveillance system might be feasible and suitable in this context.
- Description: Doctor of Philosophy
- Authors: Curry, Christina
- Date: 2012
- Type: Text , Thesis , PhD
- Full Text: false
- Description: With the movement to evolving classroom practices and pedagogies to enhance student-centered learning environments across all Key Learning Areas, there has been growing concern about how educators can produce high quality, intellectual learning experiences within physical education. To provide much-needed understanding of teachers' experiences of the implementation of a TGfU (Teaching Games for Understanding) teaching approach, this study aimed to identify the ways in which individual teachers, adopt, embrace or alternatively resist TGfU as an innovative pedagogy. - Taken from abstract.
- Description: Doctor of Philosophy
Walking the trade route to a dead end? Exploring journey stories of early completers of Victorian School Vocational Programs
- Authors: Grinham, Fiona
- Date: 2014
- Type: Text , Thesis , Masters
- Full Text:
- Description: In Victoria, there are some school students who, having completed Year 11, as Victorian Certificate of Applied Learning (VCAL) Intermediate students, leave school. They do not go on to complete Year 12 [or equivalent] either in other institutions or as part of an apprenticeship or traineeship. This group of students is quite a substantial proportion of the total VCAL student cohort, and their numbers are increasing every year. This behaviour is juxtaposed with government policy that is emphasizing youth participation in schools or vocational alternatives. The Compact with Young Australians (COAG, 2009) set a new target of 90% attainment of Year 12 or equivalent by 2015 and expects an additional 92,527 young people across Australia (23,500 in Victoria) to remain in school. A survey of the literature indicates that there is a significant gap in our knowledge of what behavioural intentions drive vocational students to leave school early. By using in-depth conversations with selected students, this study seeks to determine the factors that students see act as drivers in their decision to get to this level, and then to leave school. This study provides, in the words of the students, some of the reasons for their choice for their non-continuance of the secondary school programs that are available to them. This will enable education policy makers to understand these students’ perspectives and to examine the VCAL programs in a new light. As educators, they can then respond to the challenge to develop and sustain vocational programs and retention strategies that will engage young people and assist them to build work-ready skills.
- Description: Master of Business (Research)
- Authors: Grinham, Fiona
- Date: 2014
- Type: Text , Thesis , Masters
- Full Text:
- Description: In Victoria, there are some school students who, having completed Year 11, as Victorian Certificate of Applied Learning (VCAL) Intermediate students, leave school. They do not go on to complete Year 12 [or equivalent] either in other institutions or as part of an apprenticeship or traineeship. This group of students is quite a substantial proportion of the total VCAL student cohort, and their numbers are increasing every year. This behaviour is juxtaposed with government policy that is emphasizing youth participation in schools or vocational alternatives. The Compact with Young Australians (COAG, 2009) set a new target of 90% attainment of Year 12 or equivalent by 2015 and expects an additional 92,527 young people across Australia (23,500 in Victoria) to remain in school. A survey of the literature indicates that there is a significant gap in our knowledge of what behavioural intentions drive vocational students to leave school early. By using in-depth conversations with selected students, this study seeks to determine the factors that students see act as drivers in their decision to get to this level, and then to leave school. This study provides, in the words of the students, some of the reasons for their choice for their non-continuance of the secondary school programs that are available to them. This will enable education policy makers to understand these students’ perspectives and to examine the VCAL programs in a new light. As educators, they can then respond to the challenge to develop and sustain vocational programs and retention strategies that will engage young people and assist them to build work-ready skills.
- Description: Master of Business (Research)
The development of the Malaysian vocational education and training system
- Ramanathan Chettiar, Palaniappan
- Authors: Ramanathan Chettiar, Palaniappan
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The vocational education and training (VET) sector in Malaysia has experienced significant change over the last 10 years. This thesis aimed to identify the challenges facing VET development in Malaysia and consider the lessons that can be learnt from Australian and Singaporean VET experiences. This research explored the challenges using a mixed methods approach (qualitative and quantitative) to answer the research question from a multiple stakeholder perspective. The 42 respondents included policymakers, chief executive officers (CEOs) from industry, CEOs from registered training organisations (RTOs), VET instructors and trainees. There were 34 respondents from Malaysia involved in the interviews. Two policymakers and two CEOs of RTOs from Singapore and Australia were also involved in the interviews. An online survey was answered by 209 Malaysian respondents. Significantly, the literature review, including literature from Malaysia, Australia, Singapore, the United Kingdom, Europe and the United States, focused on the development of VET policy and the ideas associated with vocational education theory, human capital theory, systems theory and threshold theory, program theory, employability theory, collective skills formation, stakeholder engagement and the capability approach. The literature review provided an overview of the motivations behind government initiates to expand skills development initiatives using different models, the shifting of responsibility for employability to the employee and promoting inclusivity within the nation. While VET objectives were overt, the need for socially inclusive results were not. There is a need to consider economic, social and education contexts when developing VET systems, given the diversity of Malaysian society. The argument is made within the thesis that the development of VET policy has been largely led by government and legislation, rather than industry. The thesis suggests that challenges inherent in the development of a VET system arise from the gaps between VET policy and practice, rhetoric and implementation. While the presence of policy mechanisms for system efficiency was acknowledged by stakeholders, VET policy was characterised by respondents as incremental rather than long term. Most stakeholders acknowledged the importance of lifelong learning and for the need for Malaysia to become a learning nation. The lack of a single agency to monitor skills development was considered an obstacle for effective skills development within the country. Accordingly, this thesis proposes a set of recommendations to address these challenges and provides directions for future research.
- Description: Doctor of Philosophy
- Authors: Ramanathan Chettiar, Palaniappan
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The vocational education and training (VET) sector in Malaysia has experienced significant change over the last 10 years. This thesis aimed to identify the challenges facing VET development in Malaysia and consider the lessons that can be learnt from Australian and Singaporean VET experiences. This research explored the challenges using a mixed methods approach (qualitative and quantitative) to answer the research question from a multiple stakeholder perspective. The 42 respondents included policymakers, chief executive officers (CEOs) from industry, CEOs from registered training organisations (RTOs), VET instructors and trainees. There were 34 respondents from Malaysia involved in the interviews. Two policymakers and two CEOs of RTOs from Singapore and Australia were also involved in the interviews. An online survey was answered by 209 Malaysian respondents. Significantly, the literature review, including literature from Malaysia, Australia, Singapore, the United Kingdom, Europe and the United States, focused on the development of VET policy and the ideas associated with vocational education theory, human capital theory, systems theory and threshold theory, program theory, employability theory, collective skills formation, stakeholder engagement and the capability approach. The literature review provided an overview of the motivations behind government initiates to expand skills development initiatives using different models, the shifting of responsibility for employability to the employee and promoting inclusivity within the nation. While VET objectives were overt, the need for socially inclusive results were not. There is a need to consider economic, social and education contexts when developing VET systems, given the diversity of Malaysian society. The argument is made within the thesis that the development of VET policy has been largely led by government and legislation, rather than industry. The thesis suggests that challenges inherent in the development of a VET system arise from the gaps between VET policy and practice, rhetoric and implementation. While the presence of policy mechanisms for system efficiency was acknowledged by stakeholders, VET policy was characterised by respondents as incremental rather than long term. Most stakeholders acknowledged the importance of lifelong learning and for the need for Malaysia to become a learning nation. The lack of a single agency to monitor skills development was considered an obstacle for effective skills development within the country. Accordingly, this thesis proposes a set of recommendations to address these challenges and provides directions for future research.
- Description: Doctor of Philosophy
Efficient texture descriptors for image segmentation
- Authors: Tania, Sheikh
- Date: 2022
- Type: Text , Thesis , PhD
- Full Text:
- Description: Colour and texture are the most common features used in image processing and computer vision applications. Unlike colour, a local texture descriptor needs to express the unique variation pattern in the intensity differences of pixels in the neighbourhood of the pixel-of-interest (POI) so that it can sufficiently discriminate different textures. Since the descriptor needs spatial manipulation of all pixels in the neighbourhood of the POI, approximation of texture impacts not only the computational cost but also the performance of the applications. In this thesis, we aim to develop novel texture descriptors, especially for hierarchical image segmentation techniques that have recently gained popularity for their wide range of applications in medical imaging, video surveillance, autonomous navigation, and computer vision in general. To pursue the aim, we focus in reducing the length of the texture feature and directly modelling the distribution of intensity-variation in the parametric space of a probability density function (pdf). In the first contributory chapter, we enhance the state-of-the-art Weber local descriptor (WLD) by considering the mean value of neighbouring pixel intensities along radial directions instead of sampling pixels at three scales. Consequently, the proposed descriptor, named Radial Mean WLD (RM-WLD), is three-fold shorter than WLD and it performs slightly better than WLD in hierarchical image segmentation. The statistical distributions of pixel intensities in different image regions are diverse by nature. In the second contributory chapter, we propose a novel texture feature, called ‘joint scale,’ by directly modelling the probability distribution of intensity differences. The Weibull distribution, one of the extreme value distributions, is selected for this purpose as it can represent a wide range of probability distributions with a couple of parameters. In addition, gradient orientation feature is calculated from all pixels in the neighbourhood with an extended Sobel operator, instead of using only the vertical and horizontal neighbours as considered in WLD. The length of the texture descriptor combining joint scale and gradiet orientation features remains the same as RM-WLD, but it exhibits significantly improved discrimination capability for better image segmentation. Initial regions in hierarchical segmentation play an important role in approximating texture features. Traditional arbitrary-shaped initial regions maintain the uniform colour property and thus may not retain the texture pattern of the segment they belong to. In the final contributory chapter, we introduce regular-shaped initial regions by enhancing the cuboidal partitioning technique, which has recently gained popularity in image/video coding research. Since the regions (cuboids) of cuboidal partitioning are of rectangular shape, they do not follow the colour-based boundary adherence of traditional initial regions. Consequently, the cuboids retain sufficient texture pattern cues to provide better texture approximation and discriminating capability. We have used benchmark segmentation datasets and metrics to evaluate the proposed texture descriptors. Experimental results on benchmark metrics and computational time are promising when the proposed texture features are used in the state-of-the-art iterative contraction and merging (ICM) image segmentation technique.
- Description: Doctor of Philosophy
- Authors: Tania, Sheikh
- Date: 2022
- Type: Text , Thesis , PhD
- Full Text:
- Description: Colour and texture are the most common features used in image processing and computer vision applications. Unlike colour, a local texture descriptor needs to express the unique variation pattern in the intensity differences of pixels in the neighbourhood of the pixel-of-interest (POI) so that it can sufficiently discriminate different textures. Since the descriptor needs spatial manipulation of all pixels in the neighbourhood of the POI, approximation of texture impacts not only the computational cost but also the performance of the applications. In this thesis, we aim to develop novel texture descriptors, especially for hierarchical image segmentation techniques that have recently gained popularity for their wide range of applications in medical imaging, video surveillance, autonomous navigation, and computer vision in general. To pursue the aim, we focus in reducing the length of the texture feature and directly modelling the distribution of intensity-variation in the parametric space of a probability density function (pdf). In the first contributory chapter, we enhance the state-of-the-art Weber local descriptor (WLD) by considering the mean value of neighbouring pixel intensities along radial directions instead of sampling pixels at three scales. Consequently, the proposed descriptor, named Radial Mean WLD (RM-WLD), is three-fold shorter than WLD and it performs slightly better than WLD in hierarchical image segmentation. The statistical distributions of pixel intensities in different image regions are diverse by nature. In the second contributory chapter, we propose a novel texture feature, called ‘joint scale,’ by directly modelling the probability distribution of intensity differences. The Weibull distribution, one of the extreme value distributions, is selected for this purpose as it can represent a wide range of probability distributions with a couple of parameters. In addition, gradient orientation feature is calculated from all pixels in the neighbourhood with an extended Sobel operator, instead of using only the vertical and horizontal neighbours as considered in WLD. The length of the texture descriptor combining joint scale and gradiet orientation features remains the same as RM-WLD, but it exhibits significantly improved discrimination capability for better image segmentation. Initial regions in hierarchical segmentation play an important role in approximating texture features. Traditional arbitrary-shaped initial regions maintain the uniform colour property and thus may not retain the texture pattern of the segment they belong to. In the final contributory chapter, we introduce regular-shaped initial regions by enhancing the cuboidal partitioning technique, which has recently gained popularity in image/video coding research. Since the regions (cuboids) of cuboidal partitioning are of rectangular shape, they do not follow the colour-based boundary adherence of traditional initial regions. Consequently, the cuboids retain sufficient texture pattern cues to provide better texture approximation and discriminating capability. We have used benchmark segmentation datasets and metrics to evaluate the proposed texture descriptors. Experimental results on benchmark metrics and computational time are promising when the proposed texture features are used in the state-of-the-art iterative contraction and merging (ICM) image segmentation technique.
- Description: Doctor of Philosophy
Employer associations - poised to deliver a much improved OHS performance in Australian workplaces
- Authors: Mannes, Dave
- Date: 1999
- Type: Text , Thesis , Masters
- Full Text:
- Description: "The broad objective of this study is to explore the role that employer associations can play in delivering an active and sustainable range of OHS services to industry and the potential for greater utilisation of this network by governments in delivering significant improvements in OHS performance in Australian workplaces."
- Description: Masters
- Authors: Mannes, Dave
- Date: 1999
- Type: Text , Thesis , Masters
- Full Text:
- Description: "The broad objective of this study is to explore the role that employer associations can play in delivering an active and sustainable range of OHS services to industry and the potential for greater utilisation of this network by governments in delivering significant improvements in OHS performance in Australian workplaces."
- Description: Masters
Being a parent, but not : the role of foster and kinship carers in supporting children and young people
- Authors: Cooper, Kimberlea
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Home-based carers play an important role in the lives of children and young people. In Victoria, Australia, home-based care is now the most common form of alternative care, reflecting national and international trends. However, home-based care does currently face some challenges, such as shortages of carers. Therefore, strengthening this form of care through the training and support of foster and kinship carers is a key priority of Victoria’s reforms of child and family services. In the context of a university-industry collaboration, the current research drew upon the expertise of sixteen foster and kinship carers in the Central Highlands region of Victoria. Using constructivist grounded theory, the research sought to understand how carers support children and young people and how they see their role. In addition, the research sought carers’ perspectives on their interactions with the Out-of-Home Care (OOHC) system, including what they find supportive and challenging. The research revealed that home-based carers see some elements of their role as parenting, and others as going beyond parenting. The carers utilise principles of trauma-informed care to support children and young people, but do not experience trauma-informed support from the OOHC system. This discrepancy suggests that the implementation of trauma-informed care has the potential to increase pressure on home-based carers if it is only encouraged at the interpersonal level between carers and children and does not incorporate associated systems-level change. Therefore, this research proposes that whilst micro-level support and training for carers is necessary and useful, it is crucial to move beyond such initiatives to make macro-level reform. This research also raises doubts regarding the capacity of home-based care to become fully trauma-informed due to potential incompatibilities with the current risk-averse and deficit-oriented paradigm of the child protection system.
- Description: Doctor of Philosophy
- Authors: Cooper, Kimberlea
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Home-based carers play an important role in the lives of children and young people. In Victoria, Australia, home-based care is now the most common form of alternative care, reflecting national and international trends. However, home-based care does currently face some challenges, such as shortages of carers. Therefore, strengthening this form of care through the training and support of foster and kinship carers is a key priority of Victoria’s reforms of child and family services. In the context of a university-industry collaboration, the current research drew upon the expertise of sixteen foster and kinship carers in the Central Highlands region of Victoria. Using constructivist grounded theory, the research sought to understand how carers support children and young people and how they see their role. In addition, the research sought carers’ perspectives on their interactions with the Out-of-Home Care (OOHC) system, including what they find supportive and challenging. The research revealed that home-based carers see some elements of their role as parenting, and others as going beyond parenting. The carers utilise principles of trauma-informed care to support children and young people, but do not experience trauma-informed support from the OOHC system. This discrepancy suggests that the implementation of trauma-informed care has the potential to increase pressure on home-based carers if it is only encouraged at the interpersonal level between carers and children and does not incorporate associated systems-level change. Therefore, this research proposes that whilst micro-level support and training for carers is necessary and useful, it is crucial to move beyond such initiatives to make macro-level reform. This research also raises doubts regarding the capacity of home-based care to become fully trauma-informed due to potential incompatibilities with the current risk-averse and deficit-oriented paradigm of the child protection system.
- Description: Doctor of Philosophy
What is the perceived effectiveness of fully on-the-job training for carpentry apprenticeships?
- Authors: Wright, Barry
- Date: 2018
- Type: Text , Thesis , Masters
- Full Text:
- Description: This study examined the training experiences of apprentices and employers who were involved in fully on-the-job training in the building and construction trades, specifically in carpentry. Fully on-the-job training, in apprenticeship, means that all training is delivered at the workplace rather than in an institution or training centre and must include structured training arrangements. The apprentice acquires competence through the performance of normal work duties, with some self-managed or facilitated training, as well as receiving support from the appointed Registered Training Organisation (RTO) trainer or trainers, which is all undertaken on the worksite. In the building and construction trades, carpentry apprentices in Australia must gain skills and knowledge over an extensive range of competencies to achieve their qualification. Traditional construction trade jobs have become more specialised over the past 20 years, which could limit the learning activities in terms of tasks and knowledge, resulting in a restricted range of skills. The project investigates this issue and other possible challenges of this delivery model. This qualitative research project involved individual apprentice and employer interviews together with key stakeholder focus group sessions. The research question was: What is the perceived effectiveness of fully on-the-job training for carpentry apprenticeships? Findings included people’s views regarding the advantages, disadvantages, the learning impacts and the outcomes of fully on-the-job training and ways of compensating for limited job roles.
- Description: Masters by Research
- Authors: Wright, Barry
- Date: 2018
- Type: Text , Thesis , Masters
- Full Text:
- Description: This study examined the training experiences of apprentices and employers who were involved in fully on-the-job training in the building and construction trades, specifically in carpentry. Fully on-the-job training, in apprenticeship, means that all training is delivered at the workplace rather than in an institution or training centre and must include structured training arrangements. The apprentice acquires competence through the performance of normal work duties, with some self-managed or facilitated training, as well as receiving support from the appointed Registered Training Organisation (RTO) trainer or trainers, which is all undertaken on the worksite. In the building and construction trades, carpentry apprentices in Australia must gain skills and knowledge over an extensive range of competencies to achieve their qualification. Traditional construction trade jobs have become more specialised over the past 20 years, which could limit the learning activities in terms of tasks and knowledge, resulting in a restricted range of skills. The project investigates this issue and other possible challenges of this delivery model. This qualitative research project involved individual apprentice and employer interviews together with key stakeholder focus group sessions. The research question was: What is the perceived effectiveness of fully on-the-job training for carpentry apprenticeships? Findings included people’s views regarding the advantages, disadvantages, the learning impacts and the outcomes of fully on-the-job training and ways of compensating for limited job roles.
- Description: Masters by Research
The regulatory effects of CD161 and MAIT cells
- Authors: Meredith, Tobias
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Mucosal associated invariant T (MAIT) cells are connected with the potential regulation of anti-tumour responses, although their role in this regulation is poorly defined. In cancer, the relative frequency of MAIT cells has an impact on patient outcome, although how this impact is mediated is not known. Therefore, we have carefully modulated the frequency of MAIT cells within cultures and assessed the effect this has on the anti-tumour functions of important immune cells such as NK and conventional T cells. We identified that changes in MAIT cell frequency can significantly impact the ability of NK cells to become activated and produce proinflammatory cytokines. Interestingly, changes in MAIT cell frequency do not impact conventional T cell activation, but can alter pro-inflammatory cytokine expression. We also identified trends that suggest alterations in MAIT cell frequency may suppress a broad range of cytokines produced within the PBMC pool. The thesis also examined the potential regulatory impact of the cell surface molecule CD161 on T cells (particularly MAIT cells). Several distinctive characteristics have been identified that provides a broader understanding of the effect ligating and blocking this molecule can have. We have demonstrated that interaction with CD161 can promote activation and affect cytokine and perforin expression by MAIT cells. Conventional T cells are also affected, specifically their cytokine expression and activation. Lastly, we also performed several pilot studies, which identified changes in the expression of some genes of interest (e.g. IL-13, IL-5) and raised the possibility that the products of these genes could also be affected. Taken together, our research indicates that MAIT cell frequency can have significant effects on the anti-tumour roles of other immune cells. Additionally, we have furthered the understanding of which anti-tumour functions CD161 interaction can affect. CD161 has the potential to be used as an immunotherapeutic target in cancer patients, but more knowledge is required to determine the host of potential functions CD161 may affect. We suggest that further study is required, particularly in determining the effect CD161 ligation and blocking can have on cytokine output on a range of cells, including MAIT cells.
- Description: Doctor of Philosophy
- Authors: Meredith, Tobias
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Mucosal associated invariant T (MAIT) cells are connected with the potential regulation of anti-tumour responses, although their role in this regulation is poorly defined. In cancer, the relative frequency of MAIT cells has an impact on patient outcome, although how this impact is mediated is not known. Therefore, we have carefully modulated the frequency of MAIT cells within cultures and assessed the effect this has on the anti-tumour functions of important immune cells such as NK and conventional T cells. We identified that changes in MAIT cell frequency can significantly impact the ability of NK cells to become activated and produce proinflammatory cytokines. Interestingly, changes in MAIT cell frequency do not impact conventional T cell activation, but can alter pro-inflammatory cytokine expression. We also identified trends that suggest alterations in MAIT cell frequency may suppress a broad range of cytokines produced within the PBMC pool. The thesis also examined the potential regulatory impact of the cell surface molecule CD161 on T cells (particularly MAIT cells). Several distinctive characteristics have been identified that provides a broader understanding of the effect ligating and blocking this molecule can have. We have demonstrated that interaction with CD161 can promote activation and affect cytokine and perforin expression by MAIT cells. Conventional T cells are also affected, specifically their cytokine expression and activation. Lastly, we also performed several pilot studies, which identified changes in the expression of some genes of interest (e.g. IL-13, IL-5) and raised the possibility that the products of these genes could also be affected. Taken together, our research indicates that MAIT cell frequency can have significant effects on the anti-tumour roles of other immune cells. Additionally, we have furthered the understanding of which anti-tumour functions CD161 interaction can affect. CD161 has the potential to be used as an immunotherapeutic target in cancer patients, but more knowledge is required to determine the host of potential functions CD161 may affect. We suggest that further study is required, particularly in determining the effect CD161 ligation and blocking can have on cytokine output on a range of cells, including MAIT cells.
- Description: Doctor of Philosophy
Application of psycholinguistic features to authorship profiling for first language, gender and age group
- Authors: Torney, Rosemary
- Date: 2014
- Type: Text , Thesis , PhD
- Full Text:
- Description: Much of the fraud committed in cyberspace involves the misrepresentation of the demographic data of the perpetrator via the medium of seemly anonymous text messages. One way to address this issue is to apply techniques from the field of authorship characterisation or profiling which is the analysis of text to determine the demographic profile of the author. Most of the previous research into authorship characterisation has used counts and ratios of lexicographically based features that include words, parts of words and Parts Of Speech (POS) contained within the text. This study examines the effectiveness of classifying the first language, gender and age group of an author using a set of features developed in the psycholinguistic field (the Linguistic Inquiry and Word Count - LIWC), both as a single type feature set and in combination with the lexicographically based features used in previous studies (function words, character bigrams and POS unigrams and bigrams). This study also searched for the smallest, most effective subset of each feature set that was practical, by ranking the features using three feature selection algorithms and systematically reducing the number used. In addition, the study explored the effective lower word limit for accurate classification by reducing the text size by regular increments. LIWC was found to be more effective than a similar number of any of the lexicographic feature types, and to add insight rather than noise when combined with these feature types. This held to be true for both the full and reduced text sizes for all three demographic classes examined. In addition it was found that the size of feature sets could be greatly reduced while still maintaining effective levels of classification accuracy.
- Description: Doctor of Philosophy
- Authors: Torney, Rosemary
- Date: 2014
- Type: Text , Thesis , PhD
- Full Text:
- Description: Much of the fraud committed in cyberspace involves the misrepresentation of the demographic data of the perpetrator via the medium of seemly anonymous text messages. One way to address this issue is to apply techniques from the field of authorship characterisation or profiling which is the analysis of text to determine the demographic profile of the author. Most of the previous research into authorship characterisation has used counts and ratios of lexicographically based features that include words, parts of words and Parts Of Speech (POS) contained within the text. This study examines the effectiveness of classifying the first language, gender and age group of an author using a set of features developed in the psycholinguistic field (the Linguistic Inquiry and Word Count - LIWC), both as a single type feature set and in combination with the lexicographically based features used in previous studies (function words, character bigrams and POS unigrams and bigrams). This study also searched for the smallest, most effective subset of each feature set that was practical, by ranking the features using three feature selection algorithms and systematically reducing the number used. In addition, the study explored the effective lower word limit for accurate classification by reducing the text size by regular increments. LIWC was found to be more effective than a similar number of any of the lexicographic feature types, and to add insight rather than noise when combined with these feature types. This held to be true for both the full and reduced text sizes for all three demographic classes examined. In addition it was found that the size of feature sets could be greatly reduced while still maintaining effective levels of classification accuracy.
- Description: Doctor of Philosophy
Enhancing Culturally and Linguistically Diverse (CALD) community understanding and utilisation of mental health services in Victoria
- Authors: Radhamony, Reshmy
- Date: 2022
- Type: Text , Thesis , PhD
- Full Text:
- Description: The increase in cultural diversity (CD) in Victoria, Australia, demands healthcare professionals to acquire cultural competence. Literature reveals that people from Culturally and Linguistically Diverse (CALD) communities can be disadvantaged in terms of mental health service access and utilisation and the appropriateness of the health care they receive following access. Cultural competence has been advocated as a necessary step to alleviate health disparities and reduce bias and prejudices associated with culturally diverse people. Cultural competence has been endorsed in the government and professional bodies’ policies and guidelines for a long time. Whether this has prepared the mental health nursing workforce with sufficient knowledge, skills, and attitude necessary to be culturally competent, is still questionable. Evidence shows that significant barriers such as language and communication, cultural differences, and a lack of cultural sensitivity by mental health nurses (MHN) limit the quality of care provided to people from various non-dominant cultures. The primary aim of this study was to examine whether an educational intervention can improve mental health nurses' knowledge, behaviour, and attitude. Hence this multiple-method study focused on the educational needs of a cross-section of MHNs in Victoria, utilising online surveys and semi-structured interviews. This project undertook a gap analysis through telephone interviews with the CALD community members in Victoria regarding their mental health service needs and experiences. Then developed, implemented, and evaluated an online education package – “Acknowledging Diversity”, regarding cultural awareness and responsiveness for mental health nurses working with people from CALD communities. A CIPP (Context, Input, Process and Product) model evaluation of the education package confirmed its effectiveness. Andersen's Behavioural Model of Health service use (ABMHSU) was the underlying theoretical framework for this study. The study's findings were further analysed using the contextual variables of Andersen’s model. The study outcome for mental health nurses was improved knowledge, attitude, and competence about the needs of people from CALD backgrounds, even though the findings were not statistically significant. However, it has been conceded that cultural competence cannot be achieved in a single education session. Therefore, attaining cultural proficiency is a continuous process that requires motivation and persistence from MHNs and ongoing cultural encounters with the CALD population. Examining how educational interventions improved MHNs’ cultural competency to facilitate CALD community understanding and utilisation of mental health services also identified the gaps in knowledge to report future research areas.
- Description: Doctor of Philosophy
- Authors: Radhamony, Reshmy
- Date: 2022
- Type: Text , Thesis , PhD
- Full Text:
- Description: The increase in cultural diversity (CD) in Victoria, Australia, demands healthcare professionals to acquire cultural competence. Literature reveals that people from Culturally and Linguistically Diverse (CALD) communities can be disadvantaged in terms of mental health service access and utilisation and the appropriateness of the health care they receive following access. Cultural competence has been advocated as a necessary step to alleviate health disparities and reduce bias and prejudices associated with culturally diverse people. Cultural competence has been endorsed in the government and professional bodies’ policies and guidelines for a long time. Whether this has prepared the mental health nursing workforce with sufficient knowledge, skills, and attitude necessary to be culturally competent, is still questionable. Evidence shows that significant barriers such as language and communication, cultural differences, and a lack of cultural sensitivity by mental health nurses (MHN) limit the quality of care provided to people from various non-dominant cultures. The primary aim of this study was to examine whether an educational intervention can improve mental health nurses' knowledge, behaviour, and attitude. Hence this multiple-method study focused on the educational needs of a cross-section of MHNs in Victoria, utilising online surveys and semi-structured interviews. This project undertook a gap analysis through telephone interviews with the CALD community members in Victoria regarding their mental health service needs and experiences. Then developed, implemented, and evaluated an online education package – “Acknowledging Diversity”, regarding cultural awareness and responsiveness for mental health nurses working with people from CALD communities. A CIPP (Context, Input, Process and Product) model evaluation of the education package confirmed its effectiveness. Andersen's Behavioural Model of Health service use (ABMHSU) was the underlying theoretical framework for this study. The study's findings were further analysed using the contextual variables of Andersen’s model. The study outcome for mental health nurses was improved knowledge, attitude, and competence about the needs of people from CALD backgrounds, even though the findings were not statistically significant. However, it has been conceded that cultural competence cannot be achieved in a single education session. Therefore, attaining cultural proficiency is a continuous process that requires motivation and persistence from MHNs and ongoing cultural encounters with the CALD population. Examining how educational interventions improved MHNs’ cultural competency to facilitate CALD community understanding and utilisation of mental health services also identified the gaps in knowledge to report future research areas.
- Description: Doctor of Philosophy
Vulnerability modelling and mitigation strategies for hybrid networks
- Authors: Ur-Rehman, Attiq
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: Hybrid networks nowadays consist of traditional IT components, Internet of Things (IoT) and industrial control systems (ICS) nodes with varying characteristics, making them genuinely heterogeneous in nature. Historically evolving from traditional internet-enabled IT servers, hybrid networks allow organisations to strengthen cybersecurity, increase flexibility, improve efficiency, enhance reliability, boost remote connectivity and easy management. Though hybrid networks offer significant benefits from business and operational perspectives, this integration has increased the complexity and security challenges to all connected nodes. The IT servers of these hybrid networks are high-budget devices with tremendous processing power and significant storage capacity. In contrast, IoT nodes are low-cost devices with limited processing power and capacity. In addition, the ICS nodes are programmed for dedicated functions with the least interference. The available cybersecurity solutions for hybrid networks are either for specific node types or address particular weaknesses. Due to these distinct characteristics, these solutions may place other nodes in vulnerable positions. This study addresses this gap by proposing a comprehensive vulnerability modelling and mitigation strategy. This proposed solution equally applies to each node type of hybrid network while considering their unique characteristics. For this purpose, the industry-wide adoption of the Common Vulnerability Scoring System (CVSS) has been extended to embed the distinct characteristics of each node type in a hybrid network. To embed IoT features, the ‘attack vectors’ and ‘attack complexity vectors’ are modified and another metric “human safety index”, is integrated in the ‘Base metric group’ of CVSS. In addition, the ICS related characteristics are included in the ‘Environmental metric group’ of CVSS. This metric group is further enhanced to reflect the node resilience capabilities when evaluating the vulnerability score. The resilience of a node is evaluated by analysing the complex relationship of numerous contributing cyber security factors and practices. The evolved CVSSR-IoT-ICS framework proposed in the thesis measures the given vulnerabilities by adopting the unique dynamics of each node. These vulnerability scores are then mapped in the attack tree to reveal the critical nodes and shortest path to the target node. The mitigating strategy framework suggests the most efficient mitigation strategy to counter vulnerabilities by examining the node’s functionality, its locality, centrality, criticality, cascading impacts, available resources, and performance thresholds. Various case studies were conducted to analyse and evaluate our proposed vulnerability modelling and mitigation strategies on realistic supply chain systems. These analyses and evaluations confirm that the proposed solutions are highly effective for modelling the vulnerabilities while the mitigation strategies reduce the risks in dynamic and resource-constrained environments. The unified vulnerability modelling of hybrid networks minimises ambiguities, reduces complexities and identifies hidden deficiencies. It also improves system reliability and performance of heterogeneous networks while at the same time gaining acceptance for a universal vulnerability modelling framework across the cyber industry. The contributions have been published in reputable journals and conferences.
- Description: Doctor of Philosophy
- Authors: Ur-Rehman, Attiq
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: Hybrid networks nowadays consist of traditional IT components, Internet of Things (IoT) and industrial control systems (ICS) nodes with varying characteristics, making them genuinely heterogeneous in nature. Historically evolving from traditional internet-enabled IT servers, hybrid networks allow organisations to strengthen cybersecurity, increase flexibility, improve efficiency, enhance reliability, boost remote connectivity and easy management. Though hybrid networks offer significant benefits from business and operational perspectives, this integration has increased the complexity and security challenges to all connected nodes. The IT servers of these hybrid networks are high-budget devices with tremendous processing power and significant storage capacity. In contrast, IoT nodes are low-cost devices with limited processing power and capacity. In addition, the ICS nodes are programmed for dedicated functions with the least interference. The available cybersecurity solutions for hybrid networks are either for specific node types or address particular weaknesses. Due to these distinct characteristics, these solutions may place other nodes in vulnerable positions. This study addresses this gap by proposing a comprehensive vulnerability modelling and mitigation strategy. This proposed solution equally applies to each node type of hybrid network while considering their unique characteristics. For this purpose, the industry-wide adoption of the Common Vulnerability Scoring System (CVSS) has been extended to embed the distinct characteristics of each node type in a hybrid network. To embed IoT features, the ‘attack vectors’ and ‘attack complexity vectors’ are modified and another metric “human safety index”, is integrated in the ‘Base metric group’ of CVSS. In addition, the ICS related characteristics are included in the ‘Environmental metric group’ of CVSS. This metric group is further enhanced to reflect the node resilience capabilities when evaluating the vulnerability score. The resilience of a node is evaluated by analysing the complex relationship of numerous contributing cyber security factors and practices. The evolved CVSSR-IoT-ICS framework proposed in the thesis measures the given vulnerabilities by adopting the unique dynamics of each node. These vulnerability scores are then mapped in the attack tree to reveal the critical nodes and shortest path to the target node. The mitigating strategy framework suggests the most efficient mitigation strategy to counter vulnerabilities by examining the node’s functionality, its locality, centrality, criticality, cascading impacts, available resources, and performance thresholds. Various case studies were conducted to analyse and evaluate our proposed vulnerability modelling and mitigation strategies on realistic supply chain systems. These analyses and evaluations confirm that the proposed solutions are highly effective for modelling the vulnerabilities while the mitigation strategies reduce the risks in dynamic and resource-constrained environments. The unified vulnerability modelling of hybrid networks minimises ambiguities, reduces complexities and identifies hidden deficiencies. It also improves system reliability and performance of heterogeneous networks while at the same time gaining acceptance for a universal vulnerability modelling framework across the cyber industry. The contributions have been published in reputable journals and conferences.
- Description: Doctor of Philosophy
Keynes from below : a social history of Second World War Keynesian economics
- Authors: Coventry, Cameron
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: The macroeconomic agenda known as Keynesianism was highly contentious when it was introduced to Australia during the Second World War. Using a ‘history from below’ approach – correctly understood as a society-wide analysis – this thesis reveals the debates and the participants in the social nexus that considered the work of the British economist John Maynard Keynes (1883-1946). It shows that the populous willed a break from the status quo, ranging in favour of socialism to a non-capitalist third way. Support for Keynesianism was isolated to capital and the political right wing, with labour, centrists, the left and far-left strongly opposed. As the war progressed, apathy set in and Keynesianism came to be seen by opponents as either a non-capitalist third way or as the triumph of the possible over the desirable socialist “new order”. From 1936, Keynes had popularised a new economics based on full employment planning that quickly displaced ‘laissez faire capitalism’ in the minds of economists and policymakers. As war broke out, Keynes submitted a war finance plan for public consideration in the United Kingdom. Essentially, the plan addressed the practical aspects of managing an economy experiencing full employment. It contained measures to reduce wage growth to counter rising inflation, welfare for mothers and children to protect their well-being – but also the population growth essential to future economic growth – and the partial repayment of seized wages at the end of the war that would form the basis of post-war “reconstruction”. The Keynes plan generated interest in Australia which rapidly turned to speculation about its applicability. A fierce debate raged, divided on broad political lines, for two years that would shift public opinion and contribute significantly to the rise of the Curtin government (1941-45). However, once enthusiasm for reconstruction waned, it was this government that brought about post-war Keynesianism.
- Description: Doctor of Philosophy
- Authors: Coventry, Cameron
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: The macroeconomic agenda known as Keynesianism was highly contentious when it was introduced to Australia during the Second World War. Using a ‘history from below’ approach – correctly understood as a society-wide analysis – this thesis reveals the debates and the participants in the social nexus that considered the work of the British economist John Maynard Keynes (1883-1946). It shows that the populous willed a break from the status quo, ranging in favour of socialism to a non-capitalist third way. Support for Keynesianism was isolated to capital and the political right wing, with labour, centrists, the left and far-left strongly opposed. As the war progressed, apathy set in and Keynesianism came to be seen by opponents as either a non-capitalist third way or as the triumph of the possible over the desirable socialist “new order”. From 1936, Keynes had popularised a new economics based on full employment planning that quickly displaced ‘laissez faire capitalism’ in the minds of economists and policymakers. As war broke out, Keynes submitted a war finance plan for public consideration in the United Kingdom. Essentially, the plan addressed the practical aspects of managing an economy experiencing full employment. It contained measures to reduce wage growth to counter rising inflation, welfare for mothers and children to protect their well-being – but also the population growth essential to future economic growth – and the partial repayment of seized wages at the end of the war that would form the basis of post-war “reconstruction”. The Keynes plan generated interest in Australia which rapidly turned to speculation about its applicability. A fierce debate raged, divided on broad political lines, for two years that would shift public opinion and contribute significantly to the rise of the Curtin government (1941-45). However, once enthusiasm for reconstruction waned, it was this government that brought about post-war Keynesianism.
- Description: Doctor of Philosophy
Learning to Lead : The social nature of women's development in sport leadership
- Authors: Brown, Suzanne
- Date: 2014
- Type: Text , Thesis , PhD
- Full Text:
- Description: Despite the ubiquitous political and educational strategies aimed at redressing gender inequality in sport in Australia for the past 30 years, the number of women in sport in decision-making and leadership positions has remained low when compared to men. While a number of studies have explored women’s under-representation in sport leadership roles, there is limited understanding of how women practice sport leadership and how they develop as leaders. To address this gap in the literature, this study took a humanistic approach to account for, and consider, the nature of experience and the influence of context. This study sought to provide a more personal, nuanced, and socially situated understanding of how women practiced and learned to lead in sport. An interpretive qualitative research design framed by a social constructivist lens was used for this study to examine 23 women’s accounts of what constituted and framed their leadership practices, including how they learned leadership from their engagement in day-to-day social practices and life experiences over time. Data for this study were generated through in-depth, semi-structured interviews conducted with each of the participants over a period of two years. A multi-case study approach was used to analyse the data. It was found that the participants’ leadership practice featured distinctive feminine characteristics. However, for those participants at the elite level their approaches to leadership were characterised by interaction that seemed to be traditional masculine features of leadership with the participants’ “core” feminine approaches to leadership. The participants’ leadership practice focused on social interaction and relationship building underpinned by a strong sense of moral and ethical values. Key features included collaborative decision-making, taking a team-oriented approach, using open dialogue, valuing relationships and caring about others, and positive modelling. The model of authentic leadership offered a useful way of conceptualising how the participants’ approached their practice of leadership. An examination of the participants’ accounts of their experiences of the ways they learned their leadership highlighted that leadership development for these women was a relational and social process of learning over a lifelong journey that was influenced by individual, personal experience situated within larger socio-cultural contexts. The relational nature of the participants’ learning of leadership was fundamentally connected to, and drawn from their interactions and interplay within their day-to-day social practices and life experiences from their early childhood through to their adulthood. The findings of study revealed that a range of past and present experiences and social factors influenced and shaped the participants’ values and beliefs about their leadership practice such as the development of their awareness and self-belief in their ability, the value of relationship building, and development of strength of character associated with resilience. This study also identified the significance of the informal social nature of the development of leadership through the participants’ “lived” experiences but also recognised the importance of some formal learning in developing the human capital aspects of the participants’ leadership. Findings from this study have contributed to the relatively small body of literature concerned with the examination of leadership practice and learning leadership for women in a context of sport. This study has drawn attention to the different sets of relationships that women draw on to develop their leadership practice from a young age through to their adulthood, and has highlighted the multidimensional role of relational dynamics in the construction of leadership. This study has also illustrated the importance of experiential and situated learning that occurs during the formative years through to adulthood in terms of developing women’s social skills and social awareness. These findings have implications for the way in which women’s sport leadership practice is viewed and encourages a rethinking on how affirmative action policies address the leadership developed for women in sport in Australia.
- Description: Doctor of Philosophy
- Authors: Brown, Suzanne
- Date: 2014
- Type: Text , Thesis , PhD
- Full Text:
- Description: Despite the ubiquitous political and educational strategies aimed at redressing gender inequality in sport in Australia for the past 30 years, the number of women in sport in decision-making and leadership positions has remained low when compared to men. While a number of studies have explored women’s under-representation in sport leadership roles, there is limited understanding of how women practice sport leadership and how they develop as leaders. To address this gap in the literature, this study took a humanistic approach to account for, and consider, the nature of experience and the influence of context. This study sought to provide a more personal, nuanced, and socially situated understanding of how women practiced and learned to lead in sport. An interpretive qualitative research design framed by a social constructivist lens was used for this study to examine 23 women’s accounts of what constituted and framed their leadership practices, including how they learned leadership from their engagement in day-to-day social practices and life experiences over time. Data for this study were generated through in-depth, semi-structured interviews conducted with each of the participants over a period of two years. A multi-case study approach was used to analyse the data. It was found that the participants’ leadership practice featured distinctive feminine characteristics. However, for those participants at the elite level their approaches to leadership were characterised by interaction that seemed to be traditional masculine features of leadership with the participants’ “core” feminine approaches to leadership. The participants’ leadership practice focused on social interaction and relationship building underpinned by a strong sense of moral and ethical values. Key features included collaborative decision-making, taking a team-oriented approach, using open dialogue, valuing relationships and caring about others, and positive modelling. The model of authentic leadership offered a useful way of conceptualising how the participants’ approached their practice of leadership. An examination of the participants’ accounts of their experiences of the ways they learned their leadership highlighted that leadership development for these women was a relational and social process of learning over a lifelong journey that was influenced by individual, personal experience situated within larger socio-cultural contexts. The relational nature of the participants’ learning of leadership was fundamentally connected to, and drawn from their interactions and interplay within their day-to-day social practices and life experiences from their early childhood through to their adulthood. The findings of study revealed that a range of past and present experiences and social factors influenced and shaped the participants’ values and beliefs about their leadership practice such as the development of their awareness and self-belief in their ability, the value of relationship building, and development of strength of character associated with resilience. This study also identified the significance of the informal social nature of the development of leadership through the participants’ “lived” experiences but also recognised the importance of some formal learning in developing the human capital aspects of the participants’ leadership. Findings from this study have contributed to the relatively small body of literature concerned with the examination of leadership practice and learning leadership for women in a context of sport. This study has drawn attention to the different sets of relationships that women draw on to develop their leadership practice from a young age through to their adulthood, and has highlighted the multidimensional role of relational dynamics in the construction of leadership. This study has also illustrated the importance of experiential and situated learning that occurs during the formative years through to adulthood in terms of developing women’s social skills and social awareness. These findings have implications for the way in which women’s sport leadership practice is viewed and encourages a rethinking on how affirmative action policies address the leadership developed for women in sport in Australia.
- Description: Doctor of Philosophy
Latrobe Valley circular industrial ecosystem
- Authors: Ghayur, Adeel
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: Climate change, energy security, pollution and increasing unemployment in the face of automation are four critical challenges facing every region in the twenty-first century, including the Latrobe Valley in Victoria, Australia. The Valley – location of the largest brown coal deposits and forest industry in the southern hemisphere – is undergoing unprecedented and rapid changes. Its ageing brown coal power plants are retiring and replacements are not planned, leading to job insecurity. Solutions are needed that ensure continued economic activity in the region whilst allowing for the Valley to contribute its fair share in the fight against the climate change. The aim of this study is to investigate a possible local solution that could help tackle these issues of the Latrobe Valley in addition to plastic pollution and energy insecurity. Transitioning from linear to circular materials flow is one possible solution that favours sustainability and job security. Consequently, a multiproduct succinic acid biorefinery is modelled, acting as an industrial hub in a potential Latrobe Valley circular economy. This allows for employment creation in the value-addition of its platform chemicals into carbon negative and environment-friendly products. Additionally, such a biorefinery concept has the capacity to tackle Post-combustion CO2 Capture (PCC) industry’s wastes. It is anticipated that any future utilisation of brown coal as an energy vector would entail PCC to ensure carbon neutrality. A PCC industry produces CO2 and amine wastes that require adequate disposal. The modelled biorefinery has the capacity to valorise both. The simulation and the techno-economic analysis show the modelled Carbon Negative Biorefinery consumes 656,000 metric tonnes (t) of pulp logs and 42,000 t of CO2 to produce 220,000 t of succinic acid, 115,000 t of acetic acid and 900 t of dimethyl ether, annually. Biorefinery’s CAPEX and OPEX stand at AU$ 635,000,000 and $ 180,000,000 respectively. The calculated Minimum Selling Price for succinic acid is $ 990/t, only 6.4% higher than a typical biorefinery. Subsequently, biorefinery’s capacity as an anchor tenant is also simulated via technical evaluations of four value-added products: • Poly(butylene succinate) as biodegradable polymer replacing petro-plastics – simulation results show 1 t of succinic acid produces 0.19 t of tetrahydrofuran and 0.44 t of poly(butylene succinate); • Carbon fibre for insulation products, sporting goods and foams – 1 t of lignin and 0.8 t of acetic anhydride produce 0.8 t of carbon fibre; • Succinylated lignin adhesive for replacing urea-formaldehyde in the wood industry – simulation results show the biorefinery concept having the capacity to valorise both waste amine and CO2 from a PCC plant; and • Renewable fuels like hydrogen as energy vectors – a small biorefinery can potentially provide dozens of gigawatt hours of stored power for backup and peak demands, annually. In summary, results of this research are: • A biorefinery can valorise PCC plant wastes; • Multiproduct succinic acid biorefinery is economically viable; • Renewable fuels are ideally suited as energy storage vectors for a renewable energy grid both in developing and developed countries; • Bioproducts can reduce CO2 emissions thereby mitigate climate change; • Bioproducts can replace petro-products and reduce pollution; • Bioproducts can replace construction industry materials associated with CO2 emissions; • Biorefineries can help a region transition from a linear to a circular economy; and • Circular economies have the potential to generate secure jobs. In conclusion, this research identifies platform biochemicals as potential key drivers in a linear economy’s transition to a circular economy.
- Description: Doctor of Philosophy
- Authors: Ghayur, Adeel
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: Climate change, energy security, pollution and increasing unemployment in the face of automation are four critical challenges facing every region in the twenty-first century, including the Latrobe Valley in Victoria, Australia. The Valley – location of the largest brown coal deposits and forest industry in the southern hemisphere – is undergoing unprecedented and rapid changes. Its ageing brown coal power plants are retiring and replacements are not planned, leading to job insecurity. Solutions are needed that ensure continued economic activity in the region whilst allowing for the Valley to contribute its fair share in the fight against the climate change. The aim of this study is to investigate a possible local solution that could help tackle these issues of the Latrobe Valley in addition to plastic pollution and energy insecurity. Transitioning from linear to circular materials flow is one possible solution that favours sustainability and job security. Consequently, a multiproduct succinic acid biorefinery is modelled, acting as an industrial hub in a potential Latrobe Valley circular economy. This allows for employment creation in the value-addition of its platform chemicals into carbon negative and environment-friendly products. Additionally, such a biorefinery concept has the capacity to tackle Post-combustion CO2 Capture (PCC) industry’s wastes. It is anticipated that any future utilisation of brown coal as an energy vector would entail PCC to ensure carbon neutrality. A PCC industry produces CO2 and amine wastes that require adequate disposal. The modelled biorefinery has the capacity to valorise both. The simulation and the techno-economic analysis show the modelled Carbon Negative Biorefinery consumes 656,000 metric tonnes (t) of pulp logs and 42,000 t of CO2 to produce 220,000 t of succinic acid, 115,000 t of acetic acid and 900 t of dimethyl ether, annually. Biorefinery’s CAPEX and OPEX stand at AU$ 635,000,000 and $ 180,000,000 respectively. The calculated Minimum Selling Price for succinic acid is $ 990/t, only 6.4% higher than a typical biorefinery. Subsequently, biorefinery’s capacity as an anchor tenant is also simulated via technical evaluations of four value-added products: • Poly(butylene succinate) as biodegradable polymer replacing petro-plastics – simulation results show 1 t of succinic acid produces 0.19 t of tetrahydrofuran and 0.44 t of poly(butylene succinate); • Carbon fibre for insulation products, sporting goods and foams – 1 t of lignin and 0.8 t of acetic anhydride produce 0.8 t of carbon fibre; • Succinylated lignin adhesive for replacing urea-formaldehyde in the wood industry – simulation results show the biorefinery concept having the capacity to valorise both waste amine and CO2 from a PCC plant; and • Renewable fuels like hydrogen as energy vectors – a small biorefinery can potentially provide dozens of gigawatt hours of stored power for backup and peak demands, annually. In summary, results of this research are: • A biorefinery can valorise PCC plant wastes; • Multiproduct succinic acid biorefinery is economically viable; • Renewable fuels are ideally suited as energy storage vectors for a renewable energy grid both in developing and developed countries; • Bioproducts can reduce CO2 emissions thereby mitigate climate change; • Bioproducts can replace petro-products and reduce pollution; • Bioproducts can replace construction industry materials associated with CO2 emissions; • Biorefineries can help a region transition from a linear to a circular economy; and • Circular economies have the potential to generate secure jobs. In conclusion, this research identifies platform biochemicals as potential key drivers in a linear economy’s transition to a circular economy.
- Description: Doctor of Philosophy
From gold field to municipality : The establishment of Ballarat West 1855-1857
- Authors: Cartledge, Graeme
- Date: 2018
- Type: Text , Thesis , Masters
- Full Text:
- Description: This thesis examines the establishment of the Ballarat West Municipality in the years of 1855 – 1857 and the factors that contributed to the introduction of local self-government in the immediate aftermath of the Eureka Stockade. Underlying the study is the changing administrative requirements necessitated by the transition from a temporary gold field to a permanent city. A central theme explored in relation to this development is that it was a consequence of the emerging culture of modernity of that era precipitating radical political changes in local government that began with the 1835 British Municipal Corporations Act. This theme is expanded to highlight the reform of local government in the Victorian era in response to urbanization and the need for modern and rationalised methods of managing the new towns and growing cities. The difficulty in making and sustaining such progressive changes in Britain is contrasted with the eager adoption of the concept of progress and the new Victorian Municipal Corporations Act of 1854 on the Ballarat goldfields. The question as to why the Municipality was established is answered by exploring the connection between the failure of the Goldfields Commission at the end of 1854 and the belief held by many, that taxes should be accompanied with political representation and should be spent where they were collected. This study exposes the remarkable story of how the first elected councillors, starting from scratch, quickly established administrative systems and brought order to a community emerging out of turmoil. The process of how the municipality was established is uncovered by an extensive survey of the council minutes, the media, council correspondence and public records.
- Description: Masters by Research
- Authors: Cartledge, Graeme
- Date: 2018
- Type: Text , Thesis , Masters
- Full Text:
- Description: This thesis examines the establishment of the Ballarat West Municipality in the years of 1855 – 1857 and the factors that contributed to the introduction of local self-government in the immediate aftermath of the Eureka Stockade. Underlying the study is the changing administrative requirements necessitated by the transition from a temporary gold field to a permanent city. A central theme explored in relation to this development is that it was a consequence of the emerging culture of modernity of that era precipitating radical political changes in local government that began with the 1835 British Municipal Corporations Act. This theme is expanded to highlight the reform of local government in the Victorian era in response to urbanization and the need for modern and rationalised methods of managing the new towns and growing cities. The difficulty in making and sustaining such progressive changes in Britain is contrasted with the eager adoption of the concept of progress and the new Victorian Municipal Corporations Act of 1854 on the Ballarat goldfields. The question as to why the Municipality was established is answered by exploring the connection between the failure of the Goldfields Commission at the end of 1854 and the belief held by many, that taxes should be accompanied with political representation and should be spent where they were collected. This study exposes the remarkable story of how the first elected councillors, starting from scratch, quickly established administrative systems and brought order to a community emerging out of turmoil. The process of how the municipality was established is uncovered by an extensive survey of the council minutes, the media, council correspondence and public records.
- Description: Masters by Research