Care leavers recovering voice and agency through counter-narratives
- Authors: Golding, Frank
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: The publications in this thesis discuss recurring issues in the historical context of out-of-home Care (OOHC). They were written for various audiences but are arranged not by date of publication but thematically so as to present a coherent argument about the recovery of voice and agency by those who experienced OOHC. The thesis begins with an Overview which discusses autoethnographic and multi-layered approaches to history and shows how subject matter helps determine the choice of methodology and sources and, in turn, how methodologies influence the selection of sources and shape content. Authorities in Australia have a long history of removing children from their families when they are deemed to be neglected or ‘in moral danger’. Out of the public gaze, these children were often rendered silent, their voices simply unheard or deliberately supressed by the exercise of total institutional power. This thesis analyses how children were marginalised, cast as ‘the other’, and framed as deserving no better than they got. In the aftermath of a series of inquiries into institutional child maltreatment—some of which came about as a result of survivor advocacy and relied heavily on direct testimony—we now better understand children’s institutional experiences. In this changing environment, advocacy groups are effectively challenging the received accounts of historical Care. Their challenge has gained impetus from the opening up of records through rights legislation, especially access to personal case files. Large numbers of Care leavers have found their files inaccurate, incomplete, or misleading, and this discovery has stimulated many to produce compelling counter-narratives of the lived experiences of their childhood, and the living experiences that endure. The thesis concludes with an extended analytical commentary reflecting new interpretations of emerging histories, assessing changes in the status of Care leavers, and identifying directions warranting further development in OOHC.
- Description: Doctor of Philosophy
- Authors: Golding, Frank
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: The publications in this thesis discuss recurring issues in the historical context of out-of-home Care (OOHC). They were written for various audiences but are arranged not by date of publication but thematically so as to present a coherent argument about the recovery of voice and agency by those who experienced OOHC. The thesis begins with an Overview which discusses autoethnographic and multi-layered approaches to history and shows how subject matter helps determine the choice of methodology and sources and, in turn, how methodologies influence the selection of sources and shape content. Authorities in Australia have a long history of removing children from their families when they are deemed to be neglected or ‘in moral danger’. Out of the public gaze, these children were often rendered silent, their voices simply unheard or deliberately supressed by the exercise of total institutional power. This thesis analyses how children were marginalised, cast as ‘the other’, and framed as deserving no better than they got. In the aftermath of a series of inquiries into institutional child maltreatment—some of which came about as a result of survivor advocacy and relied heavily on direct testimony—we now better understand children’s institutional experiences. In this changing environment, advocacy groups are effectively challenging the received accounts of historical Care. Their challenge has gained impetus from the opening up of records through rights legislation, especially access to personal case files. Large numbers of Care leavers have found their files inaccurate, incomplete, or misleading, and this discovery has stimulated many to produce compelling counter-narratives of the lived experiences of their childhood, and the living experiences that endure. The thesis concludes with an extended analytical commentary reflecting new interpretations of emerging histories, assessing changes in the status of Care leavers, and identifying directions warranting further development in OOHC.
- Description: Doctor of Philosophy
Measuring trustworthiness of image data in the internet of things environment
- Authors: Islam, Mohammad
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Internet of Things (IoT) image sensors generate huge volumes of digital images every day. However, easy availability and usability of photo editing tools, the vulnerability in communication channels and malicious software have made forgery attacks on image sensor data effortless and thus expose IoT systems to cyberattacks. In IoT applications such as smart cities and surveillance systems, the smooth operation depends on sensors’ sharing data with other sensors of identical or different types. Therefore, a sensor must be able to rely on the data it receives from other sensors; in other words, data must be trustworthy. Sensors deployed in IoT applications are usually limited to low processing and battery power, which prohibits the use of complex cryptography and security mechanism and the adoption of universal security standards by IoT device manufacturers. Hence, estimating the trust of the image sensor data is a defensive solution as these data are used for critical decision-making processes. To our knowledge, only one published work has estimated the trustworthiness of digital images applied to forensic applications. However, that study’s method depends on machine learning prediction scores returned by existing forensic models, which limits its usage where underlying forensics models require different approaches (e.g., machine learning predictions, statistical methods, digital signature, perceptual image hash). Multi-type sensor data correlation and context awareness can improve the trust measurement, which is absent in that study’s model. To address these issues, novel techniques are introduced to accurately estimate the trustworthiness of IoT image sensor data with the aid of complementary non-imagery (numeric) data-generating sensors monitoring the same environment. The trust estimation models run in edge devices, relieving sensors from computationally intensive tasks. First, to detect local image forgery (splicing and copy-move attacks), an innovative image forgery detection method is proposed based on Discrete Cosine Transformation (DCT), Local Binary Pattern (LBP) and a new feature extraction method using the mean operator. Using Support Vector Machine (SVM), the proposed method is extensively tested on four well-known publicly available greyscale and colour image forgery datasets and on an IoT-based image forgery dataset that we built. Experimental results reveal the superiority of our proposed method over recent state-of-the-art methods in terms of widely used performance metrics and computational time and demonstrate robustness against low availability of forged training samples. Second, a robust trust estimation framework for IoT image data is proposed, leveraging numeric data-generating sensors deployed in the same area of interest (AoI) in an indoor environment. As low-cost sensors allow many IoT applications to use multiple types of sensors to observe the same AoI, the complementary numeric data of one sensor can be exploited to measure the trust value of another image sensor’s data. A theoretical model is developed using Shannon’s entropy to derive the uncertainty associated with an observed event and Dempster-Shafer theory (DST) for decision fusion. The proposed model’s efficacy in estimating the trust score of image sensor data is analysed by observing a fire event using IoT image and temperature sensor data in an indoor residential setup under different scenarios. The proposed model produces highly accurate trust scores in all scenarios with authentic and forged image data. Finally, as the outdoor environment varies dynamically due to different natural factors (e.g., lighting condition variations in day and night, presence of different objects, smoke, fog, rain, shadow in the scene), a novel trust framework is proposed that is suitable for the outdoor environments with these contextual variations. A transfer learning approach is adopted to derive the decision about an observation from image sensor data, while also a statistical approach is used to derive the decision about the same observation from numeric data generated from other sensors deployed in the same AoI. These decisions are then fused using CertainLogic and compared with DST-based fusion. A testbed was set up using Raspberry Pi microprocessor, image sensor, temperature sensor, edge device, LoRa nodes, LoRaWAN gateway and servers to evaluate the proposed techniques. The results show that CertainLogic is more suitable for measuring the trustworthiness of image sensor data in an outdoor environment.
- Description: Doctor of Philosophy
- Authors: Islam, Mohammad
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Internet of Things (IoT) image sensors generate huge volumes of digital images every day. However, easy availability and usability of photo editing tools, the vulnerability in communication channels and malicious software have made forgery attacks on image sensor data effortless and thus expose IoT systems to cyberattacks. In IoT applications such as smart cities and surveillance systems, the smooth operation depends on sensors’ sharing data with other sensors of identical or different types. Therefore, a sensor must be able to rely on the data it receives from other sensors; in other words, data must be trustworthy. Sensors deployed in IoT applications are usually limited to low processing and battery power, which prohibits the use of complex cryptography and security mechanism and the adoption of universal security standards by IoT device manufacturers. Hence, estimating the trust of the image sensor data is a defensive solution as these data are used for critical decision-making processes. To our knowledge, only one published work has estimated the trustworthiness of digital images applied to forensic applications. However, that study’s method depends on machine learning prediction scores returned by existing forensic models, which limits its usage where underlying forensics models require different approaches (e.g., machine learning predictions, statistical methods, digital signature, perceptual image hash). Multi-type sensor data correlation and context awareness can improve the trust measurement, which is absent in that study’s model. To address these issues, novel techniques are introduced to accurately estimate the trustworthiness of IoT image sensor data with the aid of complementary non-imagery (numeric) data-generating sensors monitoring the same environment. The trust estimation models run in edge devices, relieving sensors from computationally intensive tasks. First, to detect local image forgery (splicing and copy-move attacks), an innovative image forgery detection method is proposed based on Discrete Cosine Transformation (DCT), Local Binary Pattern (LBP) and a new feature extraction method using the mean operator. Using Support Vector Machine (SVM), the proposed method is extensively tested on four well-known publicly available greyscale and colour image forgery datasets and on an IoT-based image forgery dataset that we built. Experimental results reveal the superiority of our proposed method over recent state-of-the-art methods in terms of widely used performance metrics and computational time and demonstrate robustness against low availability of forged training samples. Second, a robust trust estimation framework for IoT image data is proposed, leveraging numeric data-generating sensors deployed in the same area of interest (AoI) in an indoor environment. As low-cost sensors allow many IoT applications to use multiple types of sensors to observe the same AoI, the complementary numeric data of one sensor can be exploited to measure the trust value of another image sensor’s data. A theoretical model is developed using Shannon’s entropy to derive the uncertainty associated with an observed event and Dempster-Shafer theory (DST) for decision fusion. The proposed model’s efficacy in estimating the trust score of image sensor data is analysed by observing a fire event using IoT image and temperature sensor data in an indoor residential setup under different scenarios. The proposed model produces highly accurate trust scores in all scenarios with authentic and forged image data. Finally, as the outdoor environment varies dynamically due to different natural factors (e.g., lighting condition variations in day and night, presence of different objects, smoke, fog, rain, shadow in the scene), a novel trust framework is proposed that is suitable for the outdoor environments with these contextual variations. A transfer learning approach is adopted to derive the decision about an observation from image sensor data, while also a statistical approach is used to derive the decision about the same observation from numeric data generated from other sensors deployed in the same AoI. These decisions are then fused using CertainLogic and compared with DST-based fusion. A testbed was set up using Raspberry Pi microprocessor, image sensor, temperature sensor, edge device, LoRa nodes, LoRaWAN gateway and servers to evaluate the proposed techniques. The results show that CertainLogic is more suitable for measuring the trustworthiness of image sensor data in an outdoor environment.
- Description: Doctor of Philosophy
An investigative study of burnout among university nurse academics in Australia
- Authors: Singh, Charanjit
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: The overall aims of this study were to investigate the prevalence, extent and explore the experiences of Nurse Academics in Australia in relation to job satisfaction and burnout. Over the last three decades, university teaching has become increasingly challenging and stressful; this has affected the quality of life of academics. This is evidenced by the rapidly changing working conditions and stress experienced globally among university academics Consequently, the relationship between academics and their workplace are very demanding, more stressed, followed by lack of resources and eventually leading to burnout. Burnout is defined as a psychological syndrome emerging as a prolonged response to chronic interpersonal stressors on the job. Since, the move of nurse education into the university sector in Australia in the mid 1980’s, the stress and demands placed upon Nursing Academics has risen and intensified dramatically. Although the literature is replete about the work experiences among university academics very little research has been carried out to investigate the prevalence and explore the experiences among nurse academics, particularly within Australia (Bittner, & Bechtel, 2017) in relation to occupational stress and burnout. This research study utilized a mixed methods design, specifically, the sequential explanatory model A two phased approach was utilized. In phase one 234 nurse academics completed the survey comprised of the MBI, MSQ and demographics. In phase two, 19 participants were interviewed. The conceptual framework that underpins this study is influenced by the Job- Demands Resource Model (J-DR Model). In phase one, participants were drawn from a cross section from novice to experienced academics. 50% of participants reported low levels of burnout, whilst the other 50% reported either moderate or high levels of burnout. Out of these 50% who experienced burnout about 20% of respondents experienced a high-level of burnout. Similarly, 50% of the participants experienced low levels of job satisfaction and this correlated significantly with high levels of the total burnout scores (r = -0.56). Within the qualitative component, the main themes included a lack of work life balance, incivility towards staff, increasing workloads, challenging students, lack of recognition, negative workplace culture, lack of awareness of the importance of political astuteness, and lack of leadership skills and difficulty with retention of newly appointed staff. Many participants also expressed being threatened, felling intimidated, and unfairly treated coupled with facing personalities who were driven by power struggles. Overall, there appeared to be a sense of powerlessness, that participants were relatively powerless and unable to change their lot. Although personal resilience provided a buffering effect for some of the participants and acted as a protective factor against stress and burnout it is not well understood. This research study contributes to the ongoing body of work on the experiences of nurse academics globally and gives a further insight and understanding of the personal experiences of occupational stress and burnout among Australian nurse academics. However, a few potential limitations to this study should be noted. The study sample was only selected from within Australian universities which may limit the global generalisation of the findings and it was undertaken at an only one time point. Occupational stress leading to burnout is still considered an important factor and predictor of job satisfaction and intention to leave among Australian nurse academics. Effective mentoring and leadership styles that promote a nurturing work environment, a sense of belonging, being valued, heard, and recognised, are areas of priority. Strategies and policies should be revised for greater inclusiveness, academic freedom, institutional autonomy, and a better work-life balance. Further work is needed that examines the specific types of support systems that nurse leaders could initiate to reduce job stress leading to burnout. Ongoing evaluation is crucial to ensure the appropriateness, efficacy, and effectiveness of the support systems. The findings have important global implications in terms of recruitment and retention of nurse academic.
- Description: Doctor of Philosophy
- Authors: Singh, Charanjit
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: The overall aims of this study were to investigate the prevalence, extent and explore the experiences of Nurse Academics in Australia in relation to job satisfaction and burnout. Over the last three decades, university teaching has become increasingly challenging and stressful; this has affected the quality of life of academics. This is evidenced by the rapidly changing working conditions and stress experienced globally among university academics Consequently, the relationship between academics and their workplace are very demanding, more stressed, followed by lack of resources and eventually leading to burnout. Burnout is defined as a psychological syndrome emerging as a prolonged response to chronic interpersonal stressors on the job. Since, the move of nurse education into the university sector in Australia in the mid 1980’s, the stress and demands placed upon Nursing Academics has risen and intensified dramatically. Although the literature is replete about the work experiences among university academics very little research has been carried out to investigate the prevalence and explore the experiences among nurse academics, particularly within Australia (Bittner, & Bechtel, 2017) in relation to occupational stress and burnout. This research study utilized a mixed methods design, specifically, the sequential explanatory model A two phased approach was utilized. In phase one 234 nurse academics completed the survey comprised of the MBI, MSQ and demographics. In phase two, 19 participants were interviewed. The conceptual framework that underpins this study is influenced by the Job- Demands Resource Model (J-DR Model). In phase one, participants were drawn from a cross section from novice to experienced academics. 50% of participants reported low levels of burnout, whilst the other 50% reported either moderate or high levels of burnout. Out of these 50% who experienced burnout about 20% of respondents experienced a high-level of burnout. Similarly, 50% of the participants experienced low levels of job satisfaction and this correlated significantly with high levels of the total burnout scores (r = -0.56). Within the qualitative component, the main themes included a lack of work life balance, incivility towards staff, increasing workloads, challenging students, lack of recognition, negative workplace culture, lack of awareness of the importance of political astuteness, and lack of leadership skills and difficulty with retention of newly appointed staff. Many participants also expressed being threatened, felling intimidated, and unfairly treated coupled with facing personalities who were driven by power struggles. Overall, there appeared to be a sense of powerlessness, that participants were relatively powerless and unable to change their lot. Although personal resilience provided a buffering effect for some of the participants and acted as a protective factor against stress and burnout it is not well understood. This research study contributes to the ongoing body of work on the experiences of nurse academics globally and gives a further insight and understanding of the personal experiences of occupational stress and burnout among Australian nurse academics. However, a few potential limitations to this study should be noted. The study sample was only selected from within Australian universities which may limit the global generalisation of the findings and it was undertaken at an only one time point. Occupational stress leading to burnout is still considered an important factor and predictor of job satisfaction and intention to leave among Australian nurse academics. Effective mentoring and leadership styles that promote a nurturing work environment, a sense of belonging, being valued, heard, and recognised, are areas of priority. Strategies and policies should be revised for greater inclusiveness, academic freedom, institutional autonomy, and a better work-life balance. Further work is needed that examines the specific types of support systems that nurse leaders could initiate to reduce job stress leading to burnout. Ongoing evaluation is crucial to ensure the appropriateness, efficacy, and effectiveness of the support systems. The findings have important global implications in terms of recruitment and retention of nurse academic.
- Description: Doctor of Philosophy
Biopsychosocial Data Analytics and Modeling
- Authors: Santhanagopalan, Meena
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Sustained customisation of digital health intervention (DHI) programs, in the context of community health engagement, requires strong integration of multi-sourced interdisciplinary biopsychosocial health data. The biopsychosocial model is built upon the idea that biological, psychological and social processes are integrally and interactively involved in physical health and illness. One of the longstanding challenges of dealing with healthcare data is the wide variety of data generated from different sources and the increasing need to learn actionable insights that drive performance improvement. The growth of information and communication technology has led to the increased use of DHI programs. These programs use an observational methodology that helps researchers to study the everyday behaviour of participants during the course of the program by analysing data generated from digital tools such as wearables, online surveys and ecological momentary assessment (EMA). Combined with data reported from biological and psychological tests, this provides rich and unique biopsychosocial data. There is a strong need to review and apply novel approaches to combining biopsychosocial data from a methodological perspective. Although some studies have used data analytics in research on clinical trial data generated from digital interventions, data analytics on biopsychosocial data generated from DHI programs is limited. The study in this thesis develops and implements innovative approaches for analysing the existing unique and rich biopsychosocial data generated from the wellness study, a DHI program conducted by the School of Science, Psychology and Sport at Federation University. The characteristics of variety, value and veracity that usually describe big data are also relevant to the biopsychosocial data handled in this thesis. These historical, retrospective real-life biopsychosocial data provide fertile ground for research through the use of data analytics to discover patterns hidden in the data and to obtain new knowledge. This thesis presents the studies carried out on three aspects of biopsychosocial research. First, we present the salient traits of the three components - biological, psychological and social - of biopsychosocial research. Next, we investigate the challenges of pre-processing biopsychosocial data, placing special emphasis on the time-series data generated from wearable sensor devices. Finally, we present the application of statistical and machine learning (ML) tools to integrate variables from the biopsychosocial disciplines to build a predictive model. The first chapter presents the salient features of the biopsychosocial data for each discipline. The second chapter presents the challenges of pre-processing biopsychosocial data, focusing on the time-series data generated from wearable sensor devices. The third chapter uses statistical and ML tools to integrate variables from the biopsychosocial disciplines to build a predictive model. Among its other important analyses and results, the key contributions of the research described in this thesis include the following: 1. using gamma distribution to model neurocognitive reaction time data that presents interesting properties (skewness and kurtosis for the data distribution) 2. using novel ‘peak heart-rate’ count metric to quantify ‘biological’ stress 3. using the ML approach to evaluate DHIs 4. using a recurrent neural network (RNN) and long short-term memory (LSTM) data prediction model to predict Difficulties in Emotion Regulation Scale (DERS) and primary emotion (PE) using wearable sensor data.
- Description: Doctor of Philosophy
- Authors: Santhanagopalan, Meena
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Sustained customisation of digital health intervention (DHI) programs, in the context of community health engagement, requires strong integration of multi-sourced interdisciplinary biopsychosocial health data. The biopsychosocial model is built upon the idea that biological, psychological and social processes are integrally and interactively involved in physical health and illness. One of the longstanding challenges of dealing with healthcare data is the wide variety of data generated from different sources and the increasing need to learn actionable insights that drive performance improvement. The growth of information and communication technology has led to the increased use of DHI programs. These programs use an observational methodology that helps researchers to study the everyday behaviour of participants during the course of the program by analysing data generated from digital tools such as wearables, online surveys and ecological momentary assessment (EMA). Combined with data reported from biological and psychological tests, this provides rich and unique biopsychosocial data. There is a strong need to review and apply novel approaches to combining biopsychosocial data from a methodological perspective. Although some studies have used data analytics in research on clinical trial data generated from digital interventions, data analytics on biopsychosocial data generated from DHI programs is limited. The study in this thesis develops and implements innovative approaches for analysing the existing unique and rich biopsychosocial data generated from the wellness study, a DHI program conducted by the School of Science, Psychology and Sport at Federation University. The characteristics of variety, value and veracity that usually describe big data are also relevant to the biopsychosocial data handled in this thesis. These historical, retrospective real-life biopsychosocial data provide fertile ground for research through the use of data analytics to discover patterns hidden in the data and to obtain new knowledge. This thesis presents the studies carried out on three aspects of biopsychosocial research. First, we present the salient traits of the three components - biological, psychological and social - of biopsychosocial research. Next, we investigate the challenges of pre-processing biopsychosocial data, placing special emphasis on the time-series data generated from wearable sensor devices. Finally, we present the application of statistical and machine learning (ML) tools to integrate variables from the biopsychosocial disciplines to build a predictive model. The first chapter presents the salient features of the biopsychosocial data for each discipline. The second chapter presents the challenges of pre-processing biopsychosocial data, focusing on the time-series data generated from wearable sensor devices. The third chapter uses statistical and ML tools to integrate variables from the biopsychosocial disciplines to build a predictive model. Among its other important analyses and results, the key contributions of the research described in this thesis include the following: 1. using gamma distribution to model neurocognitive reaction time data that presents interesting properties (skewness and kurtosis for the data distribution) 2. using novel ‘peak heart-rate’ count metric to quantify ‘biological’ stress 3. using the ML approach to evaluate DHIs 4. using a recurrent neural network (RNN) and long short-term memory (LSTM) data prediction model to predict Difficulties in Emotion Regulation Scale (DERS) and primary emotion (PE) using wearable sensor data.
- Description: Doctor of Philosophy
Open data and interoperability standards : opportunities for animal welfare in extensive livestock systems
- Authors: Bahlo, Christiane
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Extensive livestock farming constitutes a sizeable portion of agriculture, not only in relation to land use, but in contribution to feeding a growing human population. In addition to meat, it contributes other economically valuable commodities such as wool, hides and other products. The livestock industries are adopting technologies under the banner of Precision Livestock Farming (PLF) to help meet higher production and efficiency targets as well as help to manage the multiple challenges impacting the industries, such as climate change, environmental concerns, globalisation of markets, increasing rules of governance and societal scrutiny especially in relation to animal welfare. PLF is particularly dependent on the acquisition and management of data and metadata and on the interoperability standards that allow data discovery and federation. A review of interoperability standards and PLF adoption in extensive livestock farming systems identified a lack of domain specific standards and raised questions related to the amount and quality of public data which has potential to inform livestock farming. A systematic review of public datasets, which included an assessment based on the principles that data must be findable, accessible, interoperable and reusable (FAIR) was developed. Custom software scripts were used to conduct a dataset search to determine the quantity and quality of domain specific datasets yielded 419 unique Australian datasets directly related to extensive livestock farming. A FAIR assessment of these datasets using a set of non-domain specific, general metrics showed a moderate level of compliance. The results suggest that domain specific FAIR metrics may need to be developed to provide a more accurate data quality assessment, but also that the level of interoperability and reusability is not particularly high which has implications if public data is to be included in decision support tools. To test the usefulness of available public datasets in informing decision support in relation to livestock welfare, a case study was designed and farm animal welfare elements were extracted from Australian welfare standards to guide a dataset search. It was found that with few exceptions, these elements could be supported with public data, although there were gaps in temporal and spatial coverage. The development of a geospatial animal welfare portal including these datasets further explored and confirmed the potential for using public data to enhance livestock welfare.
- Description: Doctor of Philosophy
- Authors: Bahlo, Christiane
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Extensive livestock farming constitutes a sizeable portion of agriculture, not only in relation to land use, but in contribution to feeding a growing human population. In addition to meat, it contributes other economically valuable commodities such as wool, hides and other products. The livestock industries are adopting technologies under the banner of Precision Livestock Farming (PLF) to help meet higher production and efficiency targets as well as help to manage the multiple challenges impacting the industries, such as climate change, environmental concerns, globalisation of markets, increasing rules of governance and societal scrutiny especially in relation to animal welfare. PLF is particularly dependent on the acquisition and management of data and metadata and on the interoperability standards that allow data discovery and federation. A review of interoperability standards and PLF adoption in extensive livestock farming systems identified a lack of domain specific standards and raised questions related to the amount and quality of public data which has potential to inform livestock farming. A systematic review of public datasets, which included an assessment based on the principles that data must be findable, accessible, interoperable and reusable (FAIR) was developed. Custom software scripts were used to conduct a dataset search to determine the quantity and quality of domain specific datasets yielded 419 unique Australian datasets directly related to extensive livestock farming. A FAIR assessment of these datasets using a set of non-domain specific, general metrics showed a moderate level of compliance. The results suggest that domain specific FAIR metrics may need to be developed to provide a more accurate data quality assessment, but also that the level of interoperability and reusability is not particularly high which has implications if public data is to be included in decision support tools. To test the usefulness of available public datasets in informing decision support in relation to livestock welfare, a case study was designed and farm animal welfare elements were extracted from Australian welfare standards to guide a dataset search. It was found that with few exceptions, these elements could be supported with public data, although there were gaps in temporal and spatial coverage. The development of a geospatial animal welfare portal including these datasets further explored and confirmed the potential for using public data to enhance livestock welfare.
- Description: Doctor of Philosophy
Applied aspirations : design and applied art at the Ballarat Technical Art School during the early twentieth century
- Authors: Whetter, Elise
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Applied art and design schools operate at the nexus of art, industry, and education. During the early decades of the twentieth century, the regionally located Ballarat Technical Art School (BTAS) was the leading institution of its kind in Victoria, Australia, amid shifting economic, cultural, and pedagogical conditions. Emerging from a 1907 amalgamation of institutions, and subsequently administrated by the School of Mines Ballarat (SMB), BTAS was equipped with the assets, experience, and historic reputation necessary to surpass its provincial and metropolitan rivals. This micro-historical case-study employs qualitative analysis of primary sources to investigate the aims, outputs, and importance of BTAS, contextualised by the expectations and influences it operated under during the inaugural principalship of artist and educator, Herbert Henry Smith. Smith oversaw the training of designers, craftspeople, artists, and teachers from 1907 until his retirement in early 1940—a period of tumultuous events, fiscal obstacles, and social and cultural debate. The institution was accountable to diverse stakeholders and arbiters of taste, and successive cohorts learned in a contested space between tradition, origination, and modernisation. Pierre Bourdieu’s cultural theory serves to navigate this web of hierarchies, assumptions, and tensions, while secondary sources help contextualise findings. This thesis also discusses the suite of drawing, design and material-based disciplines delivered at BTAS as single subjects, full courses, and supplementary art-trade training. Throughout, featured students provide examples of regionally trained, Australian designer-maker and artist-teacher experiences. BTAS students learned from ambitious and skilled men and women, benefited from strong professional networks, and fostered a notable esprit-de-corps. The school was significant for its contribution to female technical training. The school’s pre-eminent position was modified during the late 1920s, when much art and art-teacher training was re-centred in Melbourne. Yet, the valuable, compelling, and widespread influence of Ballarat Technical Art School graduates resonated for decades.
- Description: Doctor of Philosophy
- Authors: Whetter, Elise
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Applied art and design schools operate at the nexus of art, industry, and education. During the early decades of the twentieth century, the regionally located Ballarat Technical Art School (BTAS) was the leading institution of its kind in Victoria, Australia, amid shifting economic, cultural, and pedagogical conditions. Emerging from a 1907 amalgamation of institutions, and subsequently administrated by the School of Mines Ballarat (SMB), BTAS was equipped with the assets, experience, and historic reputation necessary to surpass its provincial and metropolitan rivals. This micro-historical case-study employs qualitative analysis of primary sources to investigate the aims, outputs, and importance of BTAS, contextualised by the expectations and influences it operated under during the inaugural principalship of artist and educator, Herbert Henry Smith. Smith oversaw the training of designers, craftspeople, artists, and teachers from 1907 until his retirement in early 1940—a period of tumultuous events, fiscal obstacles, and social and cultural debate. The institution was accountable to diverse stakeholders and arbiters of taste, and successive cohorts learned in a contested space between tradition, origination, and modernisation. Pierre Bourdieu’s cultural theory serves to navigate this web of hierarchies, assumptions, and tensions, while secondary sources help contextualise findings. This thesis also discusses the suite of drawing, design and material-based disciplines delivered at BTAS as single subjects, full courses, and supplementary art-trade training. Throughout, featured students provide examples of regionally trained, Australian designer-maker and artist-teacher experiences. BTAS students learned from ambitious and skilled men and women, benefited from strong professional networks, and fostered a notable esprit-de-corps. The school was significant for its contribution to female technical training. The school’s pre-eminent position was modified during the late 1920s, when much art and art-teacher training was re-centred in Melbourne. Yet, the valuable, compelling, and widespread influence of Ballarat Technical Art School graduates resonated for decades.
- Description: Doctor of Philosophy
Effects of brown coal fly ash on 30% monoethanolamine CO₂ capture systems
- Authors: Chowdhury, Mohammad
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: Accumulation of fly ash during post-combustion capture (PCC) of CO2 is an emerging concern. This work assesses concerns that soluble ash components (e.g. Na, Ca, Mg) increase conductivity of amine systems increasing corrosion rates, and decreasing CO2 capture e ciency; slightly soluble metals ions (e.g. Fe) may catalyse amine oxidation; and insoluble ash components cause erosion and blockages in the PCC plants as well as providing catalytic surfaces. Loy Yang brown-coal y ashes (using XRD, SEM, EDS and ICP-MS) are rst characterised and separated into soluble, insoluble and char fractions. The e ect of each fraction on MEA oxidation (measured by UV-vis and organic acid formation) and corrosion is determined using lab-scale experiments in static and stirred pressurised reactors at simulated PCC stripper conditions. Fly ash was three times more soluble in severely oxidising conditions compared to mild 30% MEA extractions. Vantho te represents 10-20% of the y ash and was the main source of sodium, calcium and magnesium ions while Szmolnockite was a source of iron. Iron solubility was dependent on conditions, with 5% soluble in aqueous MEA and 10% in simulated desorber conditions. The soluble fraction was the only ash fraction to signi cantly promote MEA oxidation. Aged pall rings from a PCC pilot plant had severe grain boundary corrosion and chromiumoxide depletion. Grain boundary corrosion was less severe in pall rings under severely oxidising conditions. The e ects of soluble ash were unclear while organic acids promoted pitting. Fly ash is an important source of soluble sodium, calcium and iron into 30% MEA. The insoluble fraction had minimal impact on MEA oxidation and corrosion, suggesting that it was inert. Soluble ash fractions increased corrosion severity and promoted MEA oxidation. This work shows that deep y ash removal prior to PCC is particularly important for ashes with high solubility in the CO2 absorption system.
- Description: Doctor of Philosophy
- Authors: Chowdhury, Mohammad
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: Accumulation of fly ash during post-combustion capture (PCC) of CO2 is an emerging concern. This work assesses concerns that soluble ash components (e.g. Na, Ca, Mg) increase conductivity of amine systems increasing corrosion rates, and decreasing CO2 capture e ciency; slightly soluble metals ions (e.g. Fe) may catalyse amine oxidation; and insoluble ash components cause erosion and blockages in the PCC plants as well as providing catalytic surfaces. Loy Yang brown-coal y ashes (using XRD, SEM, EDS and ICP-MS) are rst characterised and separated into soluble, insoluble and char fractions. The e ect of each fraction on MEA oxidation (measured by UV-vis and organic acid formation) and corrosion is determined using lab-scale experiments in static and stirred pressurised reactors at simulated PCC stripper conditions. Fly ash was three times more soluble in severely oxidising conditions compared to mild 30% MEA extractions. Vantho te represents 10-20% of the y ash and was the main source of sodium, calcium and magnesium ions while Szmolnockite was a source of iron. Iron solubility was dependent on conditions, with 5% soluble in aqueous MEA and 10% in simulated desorber conditions. The soluble fraction was the only ash fraction to signi cantly promote MEA oxidation. Aged pall rings from a PCC pilot plant had severe grain boundary corrosion and chromiumoxide depletion. Grain boundary corrosion was less severe in pall rings under severely oxidising conditions. The e ects of soluble ash were unclear while organic acids promoted pitting. Fly ash is an important source of soluble sodium, calcium and iron into 30% MEA. The insoluble fraction had minimal impact on MEA oxidation and corrosion, suggesting that it was inert. Soluble ash fractions increased corrosion severity and promoted MEA oxidation. This work shows that deep y ash removal prior to PCC is particularly important for ashes with high solubility in the CO2 absorption system.
- Description: Doctor of Philosophy
The care factor of leadership : identifying and understanding workplace appreciative behaviours in the supervisory relationship
- Authors: Timmerman, Geoffrey
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Most would agree, people like to be appreciated for who they are and for the work they do. Yet, the process resulting in employees feeling appreciated is not well understood. Further, appreciation in the workplace is complex, when considering the concept’s multifaceted nature. Workplace-relevant research supports hypotheses that being appreciated at work is associated with desirable employee outcomes such as enhanced subjective well-being (SWB), higher levels of job satisfaction and performance, creativity while also benefiting organisations through higher employee productivity. Some authors even suggest that being appreciated links to physical well-being. Regardless, empirical evidence supporting a putative relationship between appreciation and key workplace outcomes (SWB, job satisfaction and happiness) is lacking; This represents a knowledge gap in the management literature. An important related question concerns optimal ways that managers can express appreciation to their employees at work, and conversely, employee preferences for the form of appreciation that they receive from their manager. Past studies investigating the influence of appreciation in the workplace, though informative, have failed to apply a rigorous process to identify forms of appreciative behaviour. To advance knowledge on forms of workplace appreciation endowed by supervisors, and how this may influence employees, the first study aim was to identify and appraise the underlying components of appreciation-type behaviours. Hence, the supervisor-employee relationship forms the central component for this study. The second study aim was to identify whether and how supervisor-enacted appreciative behaviours influence selected employee work outcomes. A review of literature pertinent to the research aims provided theoretical foundations for understanding appreciative behaviours in the workplace. These included social relationships, human motivation, workplace sources of support, dispositional versus behavioural approaches to appreciation, selected aspects of leadership and the theorised function of workplace appreciation. From this, a conceptual model of an iterative workplace appreciation cycle was proposed to support the study aims. To meet the research aims, a two-phase study approach was adopted. Firstly, a qualitative study investigated the construct of expressed appreciation (phase 1). Here, expressed supervisor appreciative behaviours were identified through 19 one-on-one, semi-structured interviews with employees from a variety of professions and employment sectors. Through a rigorous thematic analysis, five supervisor appreciative behavioural themes (Interest, Rewards, Acknowledgment, Trust and Endorsement) were established to determine what (forms of appreciative behaviours enacted by supervisors). This first thematic framework was complemented by three outcome-related themes (Cognisance, Confirmation and Commendation) capturing the why (with regard to why employees feel appreciated) as a second thematic framework. Phase 2 of the study employed an online quantitative survey directly informed by phase 1 results. The hypothetical what and why constructs forming workplace appreciative behaviours were each developed as itemised scales (20-item and 12-item, respectively). An online survey instrument gathered employee (N=206) responses for itemised scales plus workplace outcome scales measuring SWB, job satisfaction and job commitment. Factor analysis of the 20-item what scale identified workplace appreciation behaviours endowed by supervisors to comprise a three-factor structure (factors labelled acknowledgement, trust and reward). A 12-item scale representing why employees feel appreciated provided a one-factor solution. Subsequent multiple regressions revealed the factors of acknowledgement and trust to be associated (p<.05) with job satisfaction, job commitment and overall well-being. Reward was not associated with any measured employee workplace outcome. Relationships of workplace appreciation factors with other measured variables including employee age, gender and workplace role were identified. The study findings provide both theoretical and practical contributions concerning the roles of and importance of supervisor appreciative behaviours manifest in the workplace. Supervisor acknowledgment is theorised to provide a foundation for developing a positive supervisor-employee relationship with trust conveyed over time to realise positive employee and organisational outcomes. Building on this, further studies are recommended to confirm this study’s results across a range of workplaces and for other national cultures.
- Description: Doctor of Philosophy
- Authors: Timmerman, Geoffrey
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Most would agree, people like to be appreciated for who they are and for the work they do. Yet, the process resulting in employees feeling appreciated is not well understood. Further, appreciation in the workplace is complex, when considering the concept’s multifaceted nature. Workplace-relevant research supports hypotheses that being appreciated at work is associated with desirable employee outcomes such as enhanced subjective well-being (SWB), higher levels of job satisfaction and performance, creativity while also benefiting organisations through higher employee productivity. Some authors even suggest that being appreciated links to physical well-being. Regardless, empirical evidence supporting a putative relationship between appreciation and key workplace outcomes (SWB, job satisfaction and happiness) is lacking; This represents a knowledge gap in the management literature. An important related question concerns optimal ways that managers can express appreciation to their employees at work, and conversely, employee preferences for the form of appreciation that they receive from their manager. Past studies investigating the influence of appreciation in the workplace, though informative, have failed to apply a rigorous process to identify forms of appreciative behaviour. To advance knowledge on forms of workplace appreciation endowed by supervisors, and how this may influence employees, the first study aim was to identify and appraise the underlying components of appreciation-type behaviours. Hence, the supervisor-employee relationship forms the central component for this study. The second study aim was to identify whether and how supervisor-enacted appreciative behaviours influence selected employee work outcomes. A review of literature pertinent to the research aims provided theoretical foundations for understanding appreciative behaviours in the workplace. These included social relationships, human motivation, workplace sources of support, dispositional versus behavioural approaches to appreciation, selected aspects of leadership and the theorised function of workplace appreciation. From this, a conceptual model of an iterative workplace appreciation cycle was proposed to support the study aims. To meet the research aims, a two-phase study approach was adopted. Firstly, a qualitative study investigated the construct of expressed appreciation (phase 1). Here, expressed supervisor appreciative behaviours were identified through 19 one-on-one, semi-structured interviews with employees from a variety of professions and employment sectors. Through a rigorous thematic analysis, five supervisor appreciative behavioural themes (Interest, Rewards, Acknowledgment, Trust and Endorsement) were established to determine what (forms of appreciative behaviours enacted by supervisors). This first thematic framework was complemented by three outcome-related themes (Cognisance, Confirmation and Commendation) capturing the why (with regard to why employees feel appreciated) as a second thematic framework. Phase 2 of the study employed an online quantitative survey directly informed by phase 1 results. The hypothetical what and why constructs forming workplace appreciative behaviours were each developed as itemised scales (20-item and 12-item, respectively). An online survey instrument gathered employee (N=206) responses for itemised scales plus workplace outcome scales measuring SWB, job satisfaction and job commitment. Factor analysis of the 20-item what scale identified workplace appreciation behaviours endowed by supervisors to comprise a three-factor structure (factors labelled acknowledgement, trust and reward). A 12-item scale representing why employees feel appreciated provided a one-factor solution. Subsequent multiple regressions revealed the factors of acknowledgement and trust to be associated (p<.05) with job satisfaction, job commitment and overall well-being. Reward was not associated with any measured employee workplace outcome. Relationships of workplace appreciation factors with other measured variables including employee age, gender and workplace role were identified. The study findings provide both theoretical and practical contributions concerning the roles of and importance of supervisor appreciative behaviours manifest in the workplace. Supervisor acknowledgment is theorised to provide a foundation for developing a positive supervisor-employee relationship with trust conveyed over time to realise positive employee and organisational outcomes. Building on this, further studies are recommended to confirm this study’s results across a range of workplaces and for other national cultures.
- Description: Doctor of Philosophy
Telling a story – managing impressions about corporate social responsibility
- Authors: Paynter, Merryn
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Today, an increasing number of companies are being held accountable by stakeholders for their impact on the environment and on society. Hence, failure to address stakeholder concerns can have dire consequences for companies, threatening their social licence-to-operate. To retain stakeholder support, companies must communicate to stakeholders how their concerns are being addressed, and this includes making disclosures about Corporate Social Responsibility (CSR). Existing literature focuses on explaining the reasons for the uptake of CSR reporting, and why companies make CSR disclosures. Presently, to date, there has been only limited research on the way that companies use CSR reporting to manage impressions, and how this differs across industries. This study is unique because it uses constructive-interpretive, qualitative storytelling research methods to examine CSR reporting, and to investigate companies’ motivations for making CSR disclosures. In this thesis, multi-level narrative research was conducted on the annual, CSR, and integrated reports produced by three Australian companies: BHP, Westpac, and Westfield between 1992 and 2017. These companies represent very different industry sectors, and were chosen to provide an understanding of the similarities and differences in the development of storytelling practices in their CSR reporting. Significant events in company reports are substantiated by newspaper articles published in the Sydney Morning Herald. These significant events are used to study episodic changes in companies’ strategic organisational storytelling responses. This study found that companies use explicit and implied storytelling strategies to convey meanings about CSR using both visual and textual language. A conceptual framework is developed which presents organisational storytelling as a process and illustrates how companies construct and tell stories about CSR. Several implications were identified from this research, key amongst them being the ability of stakeholders to determine companies’ underlying motives for creating their particular CSR stories. From a company perspective, the importance of management’s understanding of the implications of poorly-executed storytelling is demonstrated, highlighting the consequent potential for stakeholders to misinterpret CSR disclosures and form adverse opinions of companies’ actions, despite positive intentions
- Description: Doctor of Philosophy
- Authors: Paynter, Merryn
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Today, an increasing number of companies are being held accountable by stakeholders for their impact on the environment and on society. Hence, failure to address stakeholder concerns can have dire consequences for companies, threatening their social licence-to-operate. To retain stakeholder support, companies must communicate to stakeholders how their concerns are being addressed, and this includes making disclosures about Corporate Social Responsibility (CSR). Existing literature focuses on explaining the reasons for the uptake of CSR reporting, and why companies make CSR disclosures. Presently, to date, there has been only limited research on the way that companies use CSR reporting to manage impressions, and how this differs across industries. This study is unique because it uses constructive-interpretive, qualitative storytelling research methods to examine CSR reporting, and to investigate companies’ motivations for making CSR disclosures. In this thesis, multi-level narrative research was conducted on the annual, CSR, and integrated reports produced by three Australian companies: BHP, Westpac, and Westfield between 1992 and 2017. These companies represent very different industry sectors, and were chosen to provide an understanding of the similarities and differences in the development of storytelling practices in their CSR reporting. Significant events in company reports are substantiated by newspaper articles published in the Sydney Morning Herald. These significant events are used to study episodic changes in companies’ strategic organisational storytelling responses. This study found that companies use explicit and implied storytelling strategies to convey meanings about CSR using both visual and textual language. A conceptual framework is developed which presents organisational storytelling as a process and illustrates how companies construct and tell stories about CSR. Several implications were identified from this research, key amongst them being the ability of stakeholders to determine companies’ underlying motives for creating their particular CSR stories. From a company perspective, the importance of management’s understanding of the implications of poorly-executed storytelling is demonstrated, highlighting the consequent potential for stakeholders to misinterpret CSR disclosures and form adverse opinions of companies’ actions, despite positive intentions
- Description: Doctor of Philosophy
Developing chiropractic students clinical practice skills - elements of best practice : a qualitative exploratory descriptive study
- Authors: Haworth, Navine
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Background Although chiropractic has 125 years as an established profession, scrutiny of the literature proves that few studies have examined the clinical education of chiropractic students with a call for research from academics. This thesis is significant as it develops knowledge that can inform chiropractic bodies and help them improve an essential component of chiropractic education: clinical skill development. Research Purpose and Aims The purpose of this study was to identify elements of best practices in clinical education by critically examining, exploring and describing the aspects of an exemplar chiropractic clinical program that develops students’ clinical practice skills for transition into practice. This study explored the innovative clinical program of a reputable American chiropractic institution providing a scaffolded clinical program across varied clinical settings, patient populations and amongst other health disciplines. Research Design A six-phase exploratory descriptive qualitative design (EDQD) study was conducted to explore and describe the phenomenon being examined (Flick, 2014). This design enabled the collection of information about perceptions and lived experiences of three stakeholder cohorts: clinical faculty members, students and new graduates. Methods Purposive sampling (of students and clinical faculty members) and snowball sampling techniques (of new graduates) were used to derive the sample. Data were collected in three cycles across a two-year period using in-depth, semi-structured interviews. Interviews were conducted with 15 clinical faculty members and eight new graduates, and semi-structured focus groups were conducted with 20 students. All data were audio recorded, transcribed and thematically analysed using an inductive approach. Findings Chiropractic clinical education programs ought to be developed within a framework that incorporates adult learner principles; situated, social and experiential learning theories. Valued was a student-centred learning experience that includes authentic and diverse clinical placements, supervision and mentoring from multiple clinical educators which enhances students’ access to varied perspectives of clinical practices that contributes to developing clinical skills and professional identity. Business knowledge and entrepreneurial skills was an area of deficiency, which is problematic when the objective is to build graduates’ independence in clinical practice and professional prospects are predominantly private practice (NBCE, 2020). Embedding evidence-based practice within curricula and clinical training for educators and students are necessary to ensure this becomes a part of clinical practice. Conclusion This thesis posits best practice in chiropractic clinical education consists of the following: (a) using a scaffolded longitudinal clinical program, (b) varying clinical placements and case mix, (c) supervision and mentoring from multiple clinical educators, (d) educating the clinical educator, (e) curricula designed around industry standards and desired graduate attributes and capabilities, (f) an evidence-based practice approach in the curricula and clinical context, (g) aligning business skills, knowledge and practices with the professional context and (h) interprofessional learning and practice opportunities. Although this study has made a contribution to scholarly discourse, there remain many gaps in our knowledge where further studies are needed.
- Description: Doctor of Philosophy
- Authors: Haworth, Navine
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Background Although chiropractic has 125 years as an established profession, scrutiny of the literature proves that few studies have examined the clinical education of chiropractic students with a call for research from academics. This thesis is significant as it develops knowledge that can inform chiropractic bodies and help them improve an essential component of chiropractic education: clinical skill development. Research Purpose and Aims The purpose of this study was to identify elements of best practices in clinical education by critically examining, exploring and describing the aspects of an exemplar chiropractic clinical program that develops students’ clinical practice skills for transition into practice. This study explored the innovative clinical program of a reputable American chiropractic institution providing a scaffolded clinical program across varied clinical settings, patient populations and amongst other health disciplines. Research Design A six-phase exploratory descriptive qualitative design (EDQD) study was conducted to explore and describe the phenomenon being examined (Flick, 2014). This design enabled the collection of information about perceptions and lived experiences of three stakeholder cohorts: clinical faculty members, students and new graduates. Methods Purposive sampling (of students and clinical faculty members) and snowball sampling techniques (of new graduates) were used to derive the sample. Data were collected in three cycles across a two-year period using in-depth, semi-structured interviews. Interviews were conducted with 15 clinical faculty members and eight new graduates, and semi-structured focus groups were conducted with 20 students. All data were audio recorded, transcribed and thematically analysed using an inductive approach. Findings Chiropractic clinical education programs ought to be developed within a framework that incorporates adult learner principles; situated, social and experiential learning theories. Valued was a student-centred learning experience that includes authentic and diverse clinical placements, supervision and mentoring from multiple clinical educators which enhances students’ access to varied perspectives of clinical practices that contributes to developing clinical skills and professional identity. Business knowledge and entrepreneurial skills was an area of deficiency, which is problematic when the objective is to build graduates’ independence in clinical practice and professional prospects are predominantly private practice (NBCE, 2020). Embedding evidence-based practice within curricula and clinical training for educators and students are necessary to ensure this becomes a part of clinical practice. Conclusion This thesis posits best practice in chiropractic clinical education consists of the following: (a) using a scaffolded longitudinal clinical program, (b) varying clinical placements and case mix, (c) supervision and mentoring from multiple clinical educators, (d) educating the clinical educator, (e) curricula designed around industry standards and desired graduate attributes and capabilities, (f) an evidence-based practice approach in the curricula and clinical context, (g) aligning business skills, knowledge and practices with the professional context and (h) interprofessional learning and practice opportunities. Although this study has made a contribution to scholarly discourse, there remain many gaps in our knowledge where further studies are needed.
- 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
A patient agent controlled customized blockchain based framework for internet of things
- Authors: Uddin, Md Ashraf
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Although Blockchain implementations have emerged as revolutionary technologies for various industrial applications including cryptocurrencies, they have not been widely deployed to store data streaming from sensors to remote servers in architectures known as Internet of Things. New Blockchain for the Internet of Things models promise secure solutions for eHealth, smart cities, and other applications. These models pave the way for continuous monitoring of patient’s physiological signs with wearable sensors to augment traditional medical practice without recourse to storing data with a trusted authority. However, existing Blockchain algorithms cannot accommodate the huge volumes, security, and privacy requirements of health data. In this thesis, our first contribution is an End-to-End secure eHealth architecture that introduces an intelligent Patient Centric Agent. The Patient Centric Agent executing on dedicated hardware manages the storage and access of streams of sensors generated health data, into a customized Blockchain and other less secure repositories. As IoT devices cannot host Blockchain technology due to their limited memory, power, and computational resources, the Patient Centric Agent coordinates and communicates with a private customized Blockchain on behalf of the wearable devices. While the adoption of a Patient Centric Agent offers solutions for addressing continuous monitoring of patients’ health, dealing with storage, data privacy and network security issues, the architecture is vulnerable to Denial of Services(DoS) and single point of failure attacks. To address this issue, we advance a second contribution; a decentralised eHealth system in which the Patient Centric Agent is replicated at three levels: Sensing Layer, NEAR Processing Layer and FAR Processing Layer. The functionalities of the Patient Centric Agent are customized to manage the tasks of the three levels. Simulations confirm protection of the architecture against DoS attacks. Few patients require all their health data to be stored in Blockchain repositories but instead need to select an appropriate storage medium for each chunk of data by matching their personal needs and preferences with features of candidate storage mediums. Motivated by this context, we advance third contribution; a recommendation model for health data storage that can accommodate patient preferences and make storage decisions rapidly, in real-time, even with streamed data. The mapping between health data features and characteristics of each repository is learned using machine learning. The Blockchain’s capacity to make transactions and store records without central oversight enables its application for IoT networks outside health such as underwater IoT networks where the unattended nature of the nodes threatens their security and privacy. However, underwater IoT differs from ground IoT as acoustics signals are the communication media leading to high propagation delays, high error rates exacerbated by turbulent water currents. Our fourth contribution is a customized Blockchain leveraged framework with the model of Patient-Centric Agent renamed as Smart Agent for securely monitoring underwater IoT. Finally, the smart Agent has been investigated in developing an IoT smart home or cities monitoring framework. The key algorithms underpinning to each contribution have been implemented and analysed using simulators.
- Description: Doctor of Philosophy
- Authors: Uddin, Md Ashraf
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Although Blockchain implementations have emerged as revolutionary technologies for various industrial applications including cryptocurrencies, they have not been widely deployed to store data streaming from sensors to remote servers in architectures known as Internet of Things. New Blockchain for the Internet of Things models promise secure solutions for eHealth, smart cities, and other applications. These models pave the way for continuous monitoring of patient’s physiological signs with wearable sensors to augment traditional medical practice without recourse to storing data with a trusted authority. However, existing Blockchain algorithms cannot accommodate the huge volumes, security, and privacy requirements of health data. In this thesis, our first contribution is an End-to-End secure eHealth architecture that introduces an intelligent Patient Centric Agent. The Patient Centric Agent executing on dedicated hardware manages the storage and access of streams of sensors generated health data, into a customized Blockchain and other less secure repositories. As IoT devices cannot host Blockchain technology due to their limited memory, power, and computational resources, the Patient Centric Agent coordinates and communicates with a private customized Blockchain on behalf of the wearable devices. While the adoption of a Patient Centric Agent offers solutions for addressing continuous monitoring of patients’ health, dealing with storage, data privacy and network security issues, the architecture is vulnerable to Denial of Services(DoS) and single point of failure attacks. To address this issue, we advance a second contribution; a decentralised eHealth system in which the Patient Centric Agent is replicated at three levels: Sensing Layer, NEAR Processing Layer and FAR Processing Layer. The functionalities of the Patient Centric Agent are customized to manage the tasks of the three levels. Simulations confirm protection of the architecture against DoS attacks. Few patients require all their health data to be stored in Blockchain repositories but instead need to select an appropriate storage medium for each chunk of data by matching their personal needs and preferences with features of candidate storage mediums. Motivated by this context, we advance third contribution; a recommendation model for health data storage that can accommodate patient preferences and make storage decisions rapidly, in real-time, even with streamed data. The mapping between health data features and characteristics of each repository is learned using machine learning. The Blockchain’s capacity to make transactions and store records without central oversight enables its application for IoT networks outside health such as underwater IoT networks where the unattended nature of the nodes threatens their security and privacy. However, underwater IoT differs from ground IoT as acoustics signals are the communication media leading to high propagation delays, high error rates exacerbated by turbulent water currents. Our fourth contribution is a customized Blockchain leveraged framework with the model of Patient-Centric Agent renamed as Smart Agent for securely monitoring underwater IoT. Finally, the smart Agent has been investigated in developing an IoT smart home or cities monitoring framework. The key algorithms underpinning to each contribution have been implemented and analysed using simulators.
- Description: Doctor of Philosophy
Trading Places : integrating Indigenous Australian knowledge into the modern economy
- Authors: Newkirk, Karen
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Australia has a 30-billion-dollar knowledge industry, yet this industry barely recognises Indigenous Australian knowledge developed for over 50,000 years. This knowledge is important to understanding life on this planet. A 2012 regional Aboriginal education report noted “These ways of thinking and planning are our great gift to a world that desperately needs solutions...Unfortunately, this gift has not been accepted yet, or even noticed” (NSW Department of Education and Communities). Through continued denial of Aboriginal and Torres Strait Islander experience, their knowledge is largely hidden from mainstream Australia and to the rest of the world. This study examines what inhibits appreciation of Indigenous Australian knowledge through two sequential interviews with 26 non-Indigenous senior managers in business, finance and economics. The constructivism research paradigm frames the use of Causal Layered Analysis as a research method to investigate the interview data. A paradox arises between the aspirational discourse for an integrated nation with recognition of Indigenous knowledge as valuable, and ingrained images that erroneously position Indigenous knowledge as only representative of early human development on a linear trajectory toward 21st Century Western thought. From the findings, a spectrum of mainstream Australian society emerges with clear gradation from strong ignorance of Indigenous knowledge to reasonably high awareness. Evident from this spectrum is that for Australian society to embrace Indigenous knowledge, a transition is required to move non-Indigenous individuals significantly to higher awareness. This thesis argues that this transition could be progressed by supportive non-Indigenous individuals taking the next step to improve their understanding of Indigenous knowledge through learning. Thus, Australian society could establish that Aboriginal and Torres Strait Islander knowledge is managed by its custodians, valued and in demand more broadly, is not compromised in the market, and is able to contribute to the management of Homo sapiens on Mother Earth.
- Description: Doctor of Philosophy
- Authors: Newkirk, Karen
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Australia has a 30-billion-dollar knowledge industry, yet this industry barely recognises Indigenous Australian knowledge developed for over 50,000 years. This knowledge is important to understanding life on this planet. A 2012 regional Aboriginal education report noted “These ways of thinking and planning are our great gift to a world that desperately needs solutions...Unfortunately, this gift has not been accepted yet, or even noticed” (NSW Department of Education and Communities). Through continued denial of Aboriginal and Torres Strait Islander experience, their knowledge is largely hidden from mainstream Australia and to the rest of the world. This study examines what inhibits appreciation of Indigenous Australian knowledge through two sequential interviews with 26 non-Indigenous senior managers in business, finance and economics. The constructivism research paradigm frames the use of Causal Layered Analysis as a research method to investigate the interview data. A paradox arises between the aspirational discourse for an integrated nation with recognition of Indigenous knowledge as valuable, and ingrained images that erroneously position Indigenous knowledge as only representative of early human development on a linear trajectory toward 21st Century Western thought. From the findings, a spectrum of mainstream Australian society emerges with clear gradation from strong ignorance of Indigenous knowledge to reasonably high awareness. Evident from this spectrum is that for Australian society to embrace Indigenous knowledge, a transition is required to move non-Indigenous individuals significantly to higher awareness. This thesis argues that this transition could be progressed by supportive non-Indigenous individuals taking the next step to improve their understanding of Indigenous knowledge through learning. Thus, Australian society could establish that Aboriginal and Torres Strait Islander knowledge is managed by its custodians, valued and in demand more broadly, is not compromised in the market, and is able to contribute to the management of Homo sapiens on Mother Earth.
- Description: Doctor of Philosophy
A continuous flow elevator to lift ore vertically for deep mine haulage using a cable disc elevator
- Authors: Webb, Colin
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Vertical continuous ore haulage with elevators in mining for deep haulage is virtually non-existent. In this, research investigations concentrated on a cable disc elevator. The problem of using a cable disc elevator is the friction between the elevator fixed tube and the moving ore on the disc. This research establishes the friction forces existing as the elevator cable and discs are elevated up a stationary tube. Then the focus is to find a way to eliminate that friction. The method involved developing three test rigs: Test Rig 1 measures static friction with the ore placed on a disc in a tube mounted on load cells to measure the resistance with the ore on the disc lifted by a counterweight. This is relevant for an elevator that has stopped under load. Test Rig 2 measures the dynamic friction in an operational 5-inch elevator with the tube on the lifting side held stationary by load cells when the cable discs are lifting the ore. Test Rig 3 eliminates friction in the lifting tube by using a pipe conveyor that travels vertically at the same speed as the cable disc elevator to contain the ore on the cable disc elevator. The cable disc elevator does all the ore lifting. The research generated results for static and dynamic friction for gravel, granite and coal. Cable tension required for ore lift of 1000 metres and the maximum hoisting distance for some existing cables are calculated. Implications of this research are that the cable disc elevator has the potential to haul from depths greater than existing elevators, has a small footprint in a mine, and with some further development could eliminate the need for truck haulage in open cut and underground mining from the mine.
- Description: Doctor of Philosophy
- Authors: Webb, Colin
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Vertical continuous ore haulage with elevators in mining for deep haulage is virtually non-existent. In this, research investigations concentrated on a cable disc elevator. The problem of using a cable disc elevator is the friction between the elevator fixed tube and the moving ore on the disc. This research establishes the friction forces existing as the elevator cable and discs are elevated up a stationary tube. Then the focus is to find a way to eliminate that friction. The method involved developing three test rigs: Test Rig 1 measures static friction with the ore placed on a disc in a tube mounted on load cells to measure the resistance with the ore on the disc lifted by a counterweight. This is relevant for an elevator that has stopped under load. Test Rig 2 measures the dynamic friction in an operational 5-inch elevator with the tube on the lifting side held stationary by load cells when the cable discs are lifting the ore. Test Rig 3 eliminates friction in the lifting tube by using a pipe conveyor that travels vertically at the same speed as the cable disc elevator to contain the ore on the cable disc elevator. The cable disc elevator does all the ore lifting. The research generated results for static and dynamic friction for gravel, granite and coal. Cable tension required for ore lift of 1000 metres and the maximum hoisting distance for some existing cables are calculated. Implications of this research are that the cable disc elevator has the potential to haul from depths greater than existing elevators, has a small footprint in a mine, and with some further development could eliminate the need for truck haulage in open cut and underground mining from the mine.
- Description: Doctor of Philosophy
Citizen science: Knowledge, networks and the boundaries of participation
- Authors: Bonney, Patrick
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: The water-related challenges facing humanity are complex and urgent. Although solutions are not always clear, involving the public in localised knowledge production and policy development is widely recognised as a critical part of this larger effort. Such public engagement is increasingly achieved through “citizen science”—a practice that involves non-professionals in scientific research and monitoring. Academic literature has recognised that, while citizen science is both important and necessary to strengthen environmental policy, its acceptance and successful implementation is a difficult governance challenge. Researchers agree that overcoming this challenge depends on the ability of volunteers, coordinators, scientists and decision-makers to work together to convert the potential of citizen science into practice. However, little is known about the collaborative relationships or the broader social contexts that shape and define the practice. To address these shortfalls, this thesis advances a conceptual framework for the relational analysis of citizen science that illustrates social networks and the boundaries between expert and community-based knowledge as critical sites of investigation. Through its multi-phase and mixed-methods research design, the findings of this thesis shed light on the contributions of citizen science to key waterway governance objectives, including the social, political and cultural factors that influence its acceptance and uptake in governance contexts. By unpacking the relational dimensions of citizen science, this thesis provides both theoretical and practice-based insights into how actors within and outside citizen science programs work together to achieve collective aims to engender stronger connections between science, society and policy. This thesis will benefit practitioners, policymakers and participatory advocates interested in achieving practical social change in efforts to understand and manage natural resources.
- Description: Doctor of Philosophy
- Authors: Bonney, Patrick
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: The water-related challenges facing humanity are complex and urgent. Although solutions are not always clear, involving the public in localised knowledge production and policy development is widely recognised as a critical part of this larger effort. Such public engagement is increasingly achieved through “citizen science”—a practice that involves non-professionals in scientific research and monitoring. Academic literature has recognised that, while citizen science is both important and necessary to strengthen environmental policy, its acceptance and successful implementation is a difficult governance challenge. Researchers agree that overcoming this challenge depends on the ability of volunteers, coordinators, scientists and decision-makers to work together to convert the potential of citizen science into practice. However, little is known about the collaborative relationships or the broader social contexts that shape and define the practice. To address these shortfalls, this thesis advances a conceptual framework for the relational analysis of citizen science that illustrates social networks and the boundaries between expert and community-based knowledge as critical sites of investigation. Through its multi-phase and mixed-methods research design, the findings of this thesis shed light on the contributions of citizen science to key waterway governance objectives, including the social, political and cultural factors that influence its acceptance and uptake in governance contexts. By unpacking the relational dimensions of citizen science, this thesis provides both theoretical and practice-based insights into how actors within and outside citizen science programs work together to achieve collective aims to engender stronger connections between science, society and policy. This thesis will benefit practitioners, policymakers and participatory advocates interested in achieving practical social change in efforts to understand and manage natural resources.
- Description: Doctor of Philosophy
Creative activation of the past: Mechanics' Institutes, GLAM, heritage, and creativity in the twenty-first century
- Authors: Tsilemanis, Amy
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: This is an interdisciplinary, mixed-method thesis that explores contemporary curation as a means to creatively activate heritage collections and places. The central case study is Ballaarat Mechanics’ Institute (BMI), in Ballarat, Australia, where practice and action-led research was undertaken by the curator over the three-year period 2016–2019. Creative connections between five interlinked areas are critically examined: heritage; curatorial practice, by which heritage sites, collections and experiences are managed; historic cultural organisations; their city contexts; and the ways in which such cultural work is valued. The framework for analysis encompasses museology, critical heritage, and approaches to cultural value. Contemporary urban Mechanics’ Institutes (MIs) are placed in the museum context both through historic parallels and their contemporary positioning in the GLAM (galleries, libraries, archives and museums) industry sector. This is in order to ask how heritage collections, and the organisations that house and present them, can creatively connect with the publics they serve with greater connectivity and relevance. Exhibitions and events held at BMI within Ballarat city are treated as case studies. Together with qualitative interviews with staff in the Ballarat GLAM sector and urban MIs, insights derived illuminate the role and challenges of such cultural organisations in the twenty-first century. It is argued that, when employing the practice and energy of the curator, creative activations have the potential to open new points of entry to, and provide alternative perspectives upon, heritage places and collections. This is achieved through arts practice, organisational thinking, and bringing to life the links between past, present and future. In this process, new and dynamic measures of value can be explored and create dialogic encounters between people, heritage and ideas.
- Description: Doctor of Philosophy
- Authors: Tsilemanis, Amy
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: This is an interdisciplinary, mixed-method thesis that explores contemporary curation as a means to creatively activate heritage collections and places. The central case study is Ballaarat Mechanics’ Institute (BMI), in Ballarat, Australia, where practice and action-led research was undertaken by the curator over the three-year period 2016–2019. Creative connections between five interlinked areas are critically examined: heritage; curatorial practice, by which heritage sites, collections and experiences are managed; historic cultural organisations; their city contexts; and the ways in which such cultural work is valued. The framework for analysis encompasses museology, critical heritage, and approaches to cultural value. Contemporary urban Mechanics’ Institutes (MIs) are placed in the museum context both through historic parallels and their contemporary positioning in the GLAM (galleries, libraries, archives and museums) industry sector. This is in order to ask how heritage collections, and the organisations that house and present them, can creatively connect with the publics they serve with greater connectivity and relevance. Exhibitions and events held at BMI within Ballarat city are treated as case studies. Together with qualitative interviews with staff in the Ballarat GLAM sector and urban MIs, insights derived illuminate the role and challenges of such cultural organisations in the twenty-first century. It is argued that, when employing the practice and energy of the curator, creative activations have the potential to open new points of entry to, and provide alternative perspectives upon, heritage places and collections. This is achieved through arts practice, organisational thinking, and bringing to life the links between past, present and future. In this process, new and dynamic measures of value can be explored and create dialogic encounters between people, heritage and ideas.
- Description: Doctor of Philosophy
Enhancing deep transfer learning for image classification
- Authors: Shermin, Tasfia
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Though deep learning models require a large amount of labelled training data for yielding high performance, they are applied to accomplish many computer vision tasks such as image classification. Current models also do not perform well across different domain settings such as illumination, camera angle and real-to-synthetic. Thus the models are more likely to misclassify unknown classes as known classes. These issues challenge the supervised learning paradigm of the models and encourage the study of transfer learning approaches. Transfer learning allows us to utilise the knowledge acquired from related domains to improve performance on a target domain. Existing transfer learning approaches lack proper high-level source domain feature analyses and are prone to negative transfers for not exploring proper discriminative information across domains. Current approaches also lack at discovering necessary visual-semantic linkage and has a bias towards the source domain. In this thesis, to address these issues and improve image classification performance, we make several contributions to three different deep transfer learning scenarios, i.e., the target domain has i) labelled data; no labelled data; and no visual data. Firstly, for improving inductive transfer learning for the first scenario, we analyse the importance of high-level deep features and propose utilising them in sequential transfer learning approaches and investigating the suitable conditions for optimal performance. Secondly, to improve image classification across different domains in an open set setting by reducing negative transfers (second scenario), we propose two novel architectures. The first model has an adaptive weighting module based on underlying domain distinctive information, and the second model has an information-theoretic weighting module to reduce negative transfers. Thirdly, to learn visual classifiers when no visual data is available (third scenario) and reduce source domain bias, we propose two novel models. One model has a new two-step dense attention mechanism to discover semantic attribute-guided local visual features and mutual learning loss. The other model utilises bidirectional mapping and adversarial supervision to learn the joint distribution of source-target domains simultaneously. We propose a new pointwise mutual information dependant loss in the first model and a distance-based loss in the second one for handling source domain bias. We perform extensive evaluations on benchmark datasets and demonstrate the proposed models outperform contemporary works.
- Description: Doctor of Philosophy
- Authors: Shermin, Tasfia
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Though deep learning models require a large amount of labelled training data for yielding high performance, they are applied to accomplish many computer vision tasks such as image classification. Current models also do not perform well across different domain settings such as illumination, camera angle and real-to-synthetic. Thus the models are more likely to misclassify unknown classes as known classes. These issues challenge the supervised learning paradigm of the models and encourage the study of transfer learning approaches. Transfer learning allows us to utilise the knowledge acquired from related domains to improve performance on a target domain. Existing transfer learning approaches lack proper high-level source domain feature analyses and are prone to negative transfers for not exploring proper discriminative information across domains. Current approaches also lack at discovering necessary visual-semantic linkage and has a bias towards the source domain. In this thesis, to address these issues and improve image classification performance, we make several contributions to three different deep transfer learning scenarios, i.e., the target domain has i) labelled data; no labelled data; and no visual data. Firstly, for improving inductive transfer learning for the first scenario, we analyse the importance of high-level deep features and propose utilising them in sequential transfer learning approaches and investigating the suitable conditions for optimal performance. Secondly, to improve image classification across different domains in an open set setting by reducing negative transfers (second scenario), we propose two novel architectures. The first model has an adaptive weighting module based on underlying domain distinctive information, and the second model has an information-theoretic weighting module to reduce negative transfers. Thirdly, to learn visual classifiers when no visual data is available (third scenario) and reduce source domain bias, we propose two novel models. One model has a new two-step dense attention mechanism to discover semantic attribute-guided local visual features and mutual learning loss. The other model utilises bidirectional mapping and adversarial supervision to learn the joint distribution of source-target domains simultaneously. We propose a new pointwise mutual information dependant loss in the first model and a distance-based loss in the second one for handling source domain bias. We perform extensive evaluations on benchmark datasets and demonstrate the proposed models outperform contemporary works.
- Description: Doctor of Philosophy
Mapping Australia felix : maps, myths and mitchell
- Authors: Coleridge, Edward
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: This investigation into the oeuvre of Thomas Mitchell, the Surveyor-General of New South Wales from 1827 to 1855, intends to reveal the remarkable opus of work he produced and enquire how he achieved it. The feat that won him fame was his discovery of the rich pasturelands and picturesque landscapes in an area that is now western Victoria, which he called Australia Felix. He matched this enthusiastic name with a finely illustrated and densely detailed two-volume journal of his three exploratory journeys - ostensibly to find where the River Darling met the Murray River. Mitchell learnt his trade as a surveyor and mapmaker in Wellington’s army fighting the French in Spain and Portugal, that theatre of the Napoleonic Wars termed the Peninsular War. The objective of this thesis is twofold. The first is the exposition of a rare and remarkable atlas of battlefield plans he was commissioned to survey at the conclusion of the war, a task which took him five years in the field, but was only completed and published 25 years later. There are only two known copies of this immense tome in Australian public libraries. The parallel plan is to relate it to the wealth of imagery with which he illustrated the journal of his expedition in 1836 that discovered Australia Felix. By the artifice of fusing the magnificent maps and landscapes in the atlas with the illustrations in the journals, together with his unpublished artwork, and commissioned structures, a metaphorical map of the new Promised Land can be attempted. Set in a period of revolution and European expansion, it is a study encompassing histories of nationalism, exploration, cartography, colonisation, indigenous relations, warfare, art, and theories of landscape art, architecture, neoclassicism and romanticism, and the aesthetics of the sublime, the beautiful and the picturesque.
- Description: Doctor of Philosophy
- Authors: Coleridge, Edward
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: This investigation into the oeuvre of Thomas Mitchell, the Surveyor-General of New South Wales from 1827 to 1855, intends to reveal the remarkable opus of work he produced and enquire how he achieved it. The feat that won him fame was his discovery of the rich pasturelands and picturesque landscapes in an area that is now western Victoria, which he called Australia Felix. He matched this enthusiastic name with a finely illustrated and densely detailed two-volume journal of his three exploratory journeys - ostensibly to find where the River Darling met the Murray River. Mitchell learnt his trade as a surveyor and mapmaker in Wellington’s army fighting the French in Spain and Portugal, that theatre of the Napoleonic Wars termed the Peninsular War. The objective of this thesis is twofold. The first is the exposition of a rare and remarkable atlas of battlefield plans he was commissioned to survey at the conclusion of the war, a task which took him five years in the field, but was only completed and published 25 years later. There are only two known copies of this immense tome in Australian public libraries. The parallel plan is to relate it to the wealth of imagery with which he illustrated the journal of his expedition in 1836 that discovered Australia Felix. By the artifice of fusing the magnificent maps and landscapes in the atlas with the illustrations in the journals, together with his unpublished artwork, and commissioned structures, a metaphorical map of the new Promised Land can be attempted. Set in a period of revolution and European expansion, it is a study encompassing histories of nationalism, exploration, cartography, colonisation, indigenous relations, warfare, art, and theories of landscape art, architecture, neoclassicism and romanticism, and the aesthetics of the sublime, the beautiful and the picturesque.
- Description: Doctor of Philosophy
Giving the laity a voice through fiction : Irish Catholic Ballarat in 1875 as portrayed in The liberator's birthday
- Authors: Blee, Jillian
- Date: 2002
- Type: Text , Thesis , PhD
- Full Text:
- Description: "This project uses narrative fiction to portray Irish Catholic laity who were part of the population of Ballarat in 1875."
- Description: Doctor of Philosophy
- Authors: Blee, Jillian
- Date: 2002
- Type: Text , Thesis , PhD
- Full Text:
- Description: "This project uses narrative fiction to portray Irish Catholic laity who were part of the population of Ballarat in 1875."
- Description: Doctor of Philosophy
Early intervention to reduce young peoples’ contact with the criminal justice system : local knowledge to inform practice
- Authors: Lancefield, Kay
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: The involvement of youth in justice systems generates high social and economic costs for individuals, their families and communities. Although Victorian crime statistics indicate a decline in youth offending there remains a subgroup who persist, resulting in adverse outcomes. Despite considerable scholarly attention on the factors that contribute to youth contact with justice systems, the application of this knowledge in some instances has failed to reduce such contact and deliver the desired outcomes. This thesis asserts that the factors relat ing to youth contact with justice systems are best understood within the theoretical frameworks of social ecological theory and developmental criminology. A social ecological perspective broadens the understanding of factors associated with youth contact with justice systems and potential intervention opportunities. It is argued that the integration of developmental criminology and social ecological theory within a place based framework will guide understanding and enh ance the efficacy of early intervention strategies. This thesis highlight s the need to consider multiple interacting factors, the value of incorporating developmental data to augment police records and the importance of implementing practice wisdom in the formulation and delivery of developmental prevention strategies. An individual’s exposure to adverse childhood experiences is demonstrated as a critical element associated with the risk of future offending. Findings relating to early contact with police as potentially protective and not necessarily predictive of an ongoing offending trajectory provide new insight. It is argued that a place based approach that incorporat es practice partnerships is critical to delivering effective prevention efforts. This research project was supported through a universityearch project was supported through a university––service system research service system research collaboration within the Inner Gippsland region of Victoria. The study has generated ‘local collaboration within the Inner Gippsland region of Victoria. The study has generated ‘local solutions to local problems’ and bridged the practicesolutions to local problems’ and bridged the practice––research gap research gap by generating by generating conceptualconceptually sound, evidencely sound, evidence--based interventions based interventions that are that are responsive to the Inner responsive to the Inner Gippsland community.Gippsland community.
- Description: Doctor of Philosophy
- Authors: Lancefield, Kay
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: The involvement of youth in justice systems generates high social and economic costs for individuals, their families and communities. Although Victorian crime statistics indicate a decline in youth offending there remains a subgroup who persist, resulting in adverse outcomes. Despite considerable scholarly attention on the factors that contribute to youth contact with justice systems, the application of this knowledge in some instances has failed to reduce such contact and deliver the desired outcomes. This thesis asserts that the factors relat ing to youth contact with justice systems are best understood within the theoretical frameworks of social ecological theory and developmental criminology. A social ecological perspective broadens the understanding of factors associated with youth contact with justice systems and potential intervention opportunities. It is argued that the integration of developmental criminology and social ecological theory within a place based framework will guide understanding and enh ance the efficacy of early intervention strategies. This thesis highlight s the need to consider multiple interacting factors, the value of incorporating developmental data to augment police records and the importance of implementing practice wisdom in the formulation and delivery of developmental prevention strategies. An individual’s exposure to adverse childhood experiences is demonstrated as a critical element associated with the risk of future offending. Findings relating to early contact with police as potentially protective and not necessarily predictive of an ongoing offending trajectory provide new insight. It is argued that a place based approach that incorporat es practice partnerships is critical to delivering effective prevention efforts. This research project was supported through a universityearch project was supported through a university––service system research service system research collaboration within the Inner Gippsland region of Victoria. The study has generated ‘local collaboration within the Inner Gippsland region of Victoria. The study has generated ‘local solutions to local problems’ and bridged the practicesolutions to local problems’ and bridged the practice––research gap research gap by generating by generating conceptualconceptually sound, evidencely sound, evidence--based interventions based interventions that are that are responsive to the Inner responsive to the Inner Gippsland community.Gippsland community.
- Description: Doctor of Philosophy