List of Titles

A Ballarat chinese family biography – an intergenerational study

Authors: Horsfield, Yvonne
Date: 2020
Type: Text , Thesis , PhD
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Description: This thesis addresses the gap that has existed in Ballarat’s historiography regarding the historical neglect and ignorance of Chinese family narratives and their life experiences. In doing so this thesis presents a longitudinal, three generational study of an immigrant Ballarat Chinese family from the early 1860s until the 1950s. It examines how members of each Tong Way generation strove to gain acceptance and establish an enduring sense of cultural belonging in a former regional, Victorian gold mining city. An ancestor, Liu Chou Hock, was a sojourner who arrived on the Haddon goldfield in 1862 and successfully worked a claim. Within three years, he returned to his village, Wang Tung, in Taishan, China. His experience was in sharp contrast to that of his son John Tong Way (Liu’ Zongwei) who permanently settled in Ballarat. The family strived to integrate against a background of migrant adjustment, ethnic discrimination and later a policy of assimilation. These factors represented a challenge for all Chinese who remained until the White Australia Policy was abandoned by the Whitlam Labor government in 1973. Unlike Caucasian immigrants, who could assimilate, whilst retaining certain features of their ethnic identification, the Chinese were culturally alienated and often excluded from everyday cultural life and practice. They represented a demographically significant ethnic minority. The thesis also compares the experiences of the Ballarat and Bendigo Chinese communities in order to examine the similarities and differences. In doing so, it analyses how they were able to establish a sense of belonging in their respective communities. The analysis of the Ballarat family’s experiences, combined with that of other Chinese descent families forms the basis of an extended case study. One that argues that adaptation was necessitated by their individual aspirations for acceptance, respectability and success.
Description: Doctor of Philosophy

Conflict and conservation : sharing the costs and benefits of tiger (Panthera tigris) conservation in communities adjacent to tiger reserves in Nepal

- Bhattarai, Babu

Authors: Bhattarai, Babu
Date: 2020
Type: Text , Thesis , PhD
Full Text: false
Description: Human wildlife conflict (HWC) is a highly studied but unresolved aspect of wildlife management. To further knowledge on HWC, this study used a multidisciplinary approach to investigate HWC implications for local people living adjacent to two key tiger conservation reserves in Nepal. The study also assessed the potential to redistribute financial benefits accruing from predator conservation to those bearing costs through associated HWC. Secondary data and anecdotal reports suggest that local people experience significant direct and indirect costs from predator conservation through livestock losses following attacks by common leopards and Bengal tigers, and additionally, crop losses due to their prey species plus two mega herbivores (elephant and one-horned rhinoceros). To investigate this situation, data regarding HWC incidents and costs were sourced through interviews with 422 local households, direct observations, and stakeholder interviews. Collected data included livestock loss (5-year time-period) and crop loss (1-year time-period). Complementary direct observation data collated livestock loss and crop damage for 12 months. Interviews were conducted also with park visitors (N=387) and tourism business owners (N=74). Results showed that tigers are involved in significantly fewer depredation events compared to leopards. Leopards predominantly killed small to medium livestock whereas tigers selected both small to medium and large sized livestock. Livestock depredation events occurred more frequently in livestock corrals relative to forest zones or crop fields. Rates of livestock losses per household per year self-reported during interviews with local people were found higher when compared to those observed by direct measurement. Prey species of tigers and leopards (most often wild boar and chital) were involved in more frequently in crop raiding events, and caused more crop damage, when compared that caused by mega herbivores. Quantities of crops lost per household were lowest in communities where effective physical barriers to wildlife were present. Park visitors and tourism business owners indicated willingness to pay for conservation of tigers and for compensation of farmers for the losses caused by tigers and their prey species. Study findings support several key recommendations proposed to mitigate negative HWC effects in the study area. These include financial support for local communities to build predator proof livestock corrals and establishment of effective physical barriers at the park borders. A dedicated tariff for park visitors and a levy for tourism business owners are also recommended to fund ongoing predator conservation and support financial compensation for local farmers affected by HWC.
Description: Doctor of Philosophy

Internationalisation of higher education curriculum : a case study in Vietnam

- Luong, Thi Phuong

Authors: Luong, Thi Phuong
Date: 2020
Type: Text , Thesis , PhD
Full Text: false
Description: This thesis investigated how the process of internationalisation of the curriculum (IoC) was perceived as taking place at a non-western university, namely Foreign Trade University (FTU) in Vietnam, through the development and offering of a number of jointly run programs, labelled Foreign Undergraduate Programs (FUPs). Two specific programs were examined, both of which were developed in partnership with two western universities – Colorado State University (FTU-CSU program) and London Metropolitan University (FTU-LMET program). These programs provide a range of opportunities for Vietnamese university students to experience an education that aims to reflect an international and therefore ‘broader’ context. The relationship between globalisation and internationalisation is explored and linked with the development of curriculum in higher education and internationalisation trends and strategies. Internationalisation of the curriculum, which is one of the internationalisation strategies employed by educational institutions, is investigated in terms of its interrelationship with student learning, the disciplines and academics. Engeström’s (2001) third generation Activity Theory was used as the theoretical lens for analysis of the data, which was collected via a mainly qualitative case study. Two cohorts of participants provided data through 24 interviews (seven including a joint one with program leaders/course coordinators, and 17 with academics) and 34 surveys completed by academics. The interviews/survey investigated participants’ perceptions about internationalisation and particularly IoC in relation to the two programs. Part of the significance of this study lies in the use of a number of conceptual and theoretical frameworks to extend the current body of literature beyond the main context of western higher education. An innovation in this study was the evaluation of the level of curriculum internationalisation at FTU, which was conducted using the model of curriculum internationalisation proposed by Huang (2017). Findings suggested that program managers and course coordinators worked collaboratively with their western partners to provide programs that they perceived as worthwhile in meeting the needs of the institution and the Vietnamese government agenda for internationalisation. However, academics were not generally well informed about the broader goals relating to IoC and found it challenging to accommodate the expectations with limited resources and lack of appropriate training.
Description: Doctor of Philosophy

'You Beauty' Alex Jesaulenko An historical exploration of the migrant who became a legend

- Eddy, Daniel

Authors: Eddy, Daniel
Date: 2019
Type: Text , Thesis , PhD
Full Text: false
Description: The Austrian-born Alex Jesaulenko played football in the Victorian Football League (VFL) from 1967 to 1981. His rise to national prominence emerged during a period of great change within both Australian society and Australian rules football. This thesis, through a critical biographical approach, examines for the first time Jesaulenko’s early life, looking at his migrant experience and the role that Australian rules football played in aiding his integration into Australian society. It is not a kick-and-handball analysis of Jesaulenko’s entire football career; that has been extensively covered within copious amounts of primary and secondary sources. Instead, it explores his migrant journey – an important aspect of Jesaulenko’s life which has been largely overlooked – and the key developmental years of sporting education prior to emerging as a VFL champion. It concludes with one of, if not the most, iconic moments in the game’s history: Jesaulenko’s mark in the 1970 VFL grand final, which cemented his name within the Australian sporting consciousness. Australian rules football, and sport more generally, holds a unique place within society. Footballers, it can be argued, are archetypes for our daily dreams and aspirations; exalted figures that we afford status which few will experience in their everyday lives. Therefore, it is through the prism of Jesaulenko’s journey that we can learn more about the role Australian rules football has played for migrants integrating into Australian society.
Description: Doctor of Philosophy

A case study of teacher roles in engaging with student aspirations

- Walker, Amy

Authors: Walker, Amy
Date: 2019
Type: Text , Thesis , PhD
Full Text: false
Description: This thesis investigated the complex role teachers play, both formally and informally, in relation to engaging and supporting student aspirations. Due to the links that have been established between aspirations and school completion and involvement in tertiary education, aspirations are important in an educational context. Yet, despite the abundance of aspiration related research, most has focused on student or parent perspectives, with few scholars targeting teacher perceptions of their roles in relation to student aspirations. This research is therefore significant as it addresses this gap through a single case study investigating perceptions of P-12 teachers from a peri-urban independent school in Victoria, Australia. Data were collected from 57 teachers via survey, interviews, and school document analysis. A lens of research-as-bricoleur, incorporating the theoretical frameworks of Bronfenbrenner (1979; 1994), Turner (2001), Gottfredson (1981, 1996), and Patton and McMahon (2015), provided the interpretative basis for the applied thematic analysis of the different data sets. Findings demonstrated differences in the way that teachers conceptualised their role in engaging with student aspirations. While teacher participants identified various formal and informal roles that they played in relation to engaging student aspirations, they also reported a lack of clear guidance or guidelines, necessitating the development of personal processes to direct their involvement. Other important findings highlighted a number of factors that teacher participants perceived as facilitating or impeding possible roles they could play in engaging student aspirations. The understandings emanating from this research provide substantive assistance to stakeholders, including school administrators and teacher educators, in appreciating and appropriately responding to an area of practice which remains misunderstood and without clear policy or guidelines. Ultimately, this research adds to the growing body of research into student aspirations and the concomitant importance of teachers in helping students aspire to and achieve their goals.
Description: Doctor of Philosophy

Effects of brown coal fly ash on 30% monoethanolamine CO₂ capture systems

- Chowdhury, Mohammad

Authors: Chowdhury, Mohammad
Date: 2019
Type: Text , Thesis , PhD
Full Text: false
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

Latrobe Valley circular industrial ecosystem

- Ghayur, Adeel

Authors: Ghayur, Adeel
Date: 2019
Type: Text , Thesis , PhD
Full Text: false
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

Neural malware detection

- Park, Sean

Authors: Park, Sean
Date: 2019
Type: Text , Thesis , PhD
Full Text: false
Description: At the heart of today’s malware problem lies theoretically infinite diversity created by metamorphism. The majority of conventional machine learning techniques tackle the problem with the assumptions that a sufficiently large number of training samples exist and that the training set is independent and identically distributed. However, the lack of semantic features combined with the models under these wrong assumptions result largely in overfitting with many false positives against real world samples, resulting in systems being left vulnerable to various adversarial attacks. A key observation is that modern malware authors write a script that automatically generates an arbitrarily large number of diverse samples that share similar characteristics in program logic, which is a very cost-effective way to evade detection with minimum effort. Given that many malware campaigns follow this paradigm of economic malware manufacturing model, the samples within a campaign are likely to share coherent semantic characteristics. This opens up a possibility of one-to-many detection. Therefore, it is crucial to capture this non-linear metamorphic pattern unique to the campaign in order to detect these seemingly diverse but identically rooted variants. To address these issues, this dissertation proposes novel deep learning models, including generative static malware outbreak detection model, generative dynamic malware detection model using spatio-temporal isomorphic dynamic features, and instruction cognitive malware detection. A comparative study on metamorphic threats is also conducted as part of the thesis. Generative adversarial autoencoder (AAE) over convolutional network with global average pooling is introduced as a fundamental deep learning framework for malware detection, which captures highly complex non-linear metamorphism through translation invariancy and local variation insensitivity. Generative Adversarial Network (GAN) used as a part of the framework enables oneshot training where semantically isomorphic malware campaigns are identified by a single malware instance sampled from the very initial outbreak. This is a major innovation because, to the best of our knowledge, no approach has been found to this challenging training objective against the malware distribution that consists of a large number of very sparse groups artificially driven by arms race between attackers and defenders. In addition, we propose a novel method that extracts instruction cognitive representation from uninterpreted raw binary executables, which can be used for oneto- many malware detection via one-shot training against frequency spectrum of the Transformer’s encoded latent representation. The method works regardless of the presence of diverse malware variations while remaining resilient to adversarial attacks that mostly use random perturbation against raw binaries. Comprehensive performance analyses including mathematical formulations and experimental evaluations are provided, with the proposed deep learning framework for malware detection exhibiting a superior performance over conventional machine learning methods. The methods proposed in this thesis are applicable to a variety of threat environments here artificially formed sparse distributions arise at the cyber battle fronts.
Description: Doctor of Philosophy

The role of Zn2+ in insulin signalling and muscle atrophy

- Maier, Michelle

Authors: Maier, Michelle
Date: 2019
Type: Text , Thesis , PhD
Full Text: false
Description: Zn2+ is a broadly utilised ion in biology that has important catalytic, structural and regulatory roles within the cell. Zn2+ distribution in cells is maintained by zinc transporters, Zips and ZnTs, and disruptions in levels of Zn2+ have been associated with insulin resistance and muscle atrophy disorders. Zn2+ and reactive oxygen species (ROS) interact through inhibition of protein tyrosine phosphatases and ROS-mediated oxidation of the metal-binding metallothioneins (Mts) causing release of bound Zn2+, however the precise mechanisms are unclear. In the first study of this thesis addition of inhibitors of ROS-generating enzymes, superoxide dismutase 1 (SOD1) and NADPH oxidase 1 (NOX1) showed that only SOD1 inhibition increased short-term insulin-mediated Zn2+ release and increased the expression of Mt1 and 2. These results may suggest that ROS, in particular O2- accumulation through inhibition of SOD1, plays a role in insulin-mediated Zn2+ release. Inhibiting SOD1 prevents the conversion of O2- to H2O2 causing an accumulation of O2- in the cell which oxidises Mts to release Zn2+, thereby increasing Zn2+ levels within the cell. Manipulation of the expression of the zinc transporter Zip-7 has previously been shown to modulate cell signalling and glucose metabolism in C2C12 skeletal muscle cells, warranting further investigation into the role of Zn2+ within insulin signalling. Reducing Zip-7 expression when NOX1 was inhibited caused a decrease in Mt2 expression in response to insulin suggesting an interaction between insulin, Zip-7 and NOX1 activity but this requires further investigation. Skeletal muscle atrophy is a clinical symptom of insulin resistance and diabetes. Muscle atrophy is associated with increases in circulating glucocorticoid levels and accumulation of Zn2+ in muscle. This study investigates if Zn2+ homeostasis is disrupted in glucocorticoid-induced atrophy using C2C12 skeletal muscle cells treated with Dexamethasone (DEX) and iv insulin. Results demonstrate DEX-induced atrophy significantly increased the gene expression of the Mt1&2 and decreased glycogen accumulation when treated with insulin. Both confocal microscopy and flow cytometry showed significant increases in free cellular Zn2+ after DEX treatment. Notably, free Zn2+ levels observed with confocal microscopy increased after insulin treatment in control cells but decreased in DEX treated cells. Total cellular Zn2+ was increased by DEX treatment. This demonstrates that DEX causes Zn2+ accumulation in muscle cells and disrupts both Zn2+ homeostasis through blocking insulin-induced Zn2+ release, and insulin-induced glycogen synthesis. This raised the question of whether the same effects of atrophy on Zn2+ homeostasis apply to other cell systems. To investigate this, we examined adipose cells given that these too are involved in insulin resistance and muscle atrophy disorders. In this study we found similar increases in mRNA abundance of Mt1 & 2. Confocal microscopy revealed that DEX treatment caused changes in the distribution of free Zn2+ within peri-nuclear and cytosolic regions of the cell upon stimulation with insulin. Furthermore, investigation into morphometric changes using Oil Red O staining and particle analysis through Coherent Anti-Stokes Ramen Spectrophotometry (CARS) microscopy showed changes in cell and lipid droplet size consistent with reduced lipid turnover in DEX treated cells. These results highlight a potential mechanistic role for Zn2+ in the development of atrophy in 3T3-L1 adipocytes where increased free Zn2+ and its redistribution in cells may inhibit lipid metabolism downstream of insulin signalling. These findings show that insulin-induced Zn2+ release is disrupted by glucocorticoids and this is associated with insulin resistance. Restoring control of Zn2+ homeostasis, possibly through controlling oxidation or manipulating Zn2+ levels directly, may prove beneficial in metabolic disease states such as diabetes.
Description: Doctor of Philosophy

Three-dimensional numerical study on the batter instability mechanism of Maddingley Brown Coal Open Pit, Victoria, Australia using PLAXIS 3D

- Zhao, Lei

Authors: Zhao, Lei
Date: 2019
Type: Text , Thesis , PhD
Full Text: false
Description: With the increased size of excavation due to long-term open cut mining, batter instability has become a major geo-hazard in Victorian Brown Coal Open Pits where facilitate some largest brown coal mining operations in the world. Block failure is a unique failure mode in Victorian brown coal mines, which is often associated with cracks and rainfall. Maddingley Brown Coal Mine (MBC) is located in Bacchus Marsh, Victoria, Australia. Slope instability has also been a major geo-problem since the open pit mining commenced in MBC in 1940s. Making clear the cracking mechanism and the correlations between rainfall and batter instability have important implications in better understanding and predicting batter failures in Victorian brown coal mines. In this research, three-dimensional geologic models were developed to investigate the mechanism of brown coal batter instability. The finite element program encoded in Plaxis 3D was employed to conduct the complex two-phase (fluid-solid) coupled numerical simulations. The results revealed the cracking mechanism of coal batter and the effects of rainfall on batter stability. It was found that the brown coal batter with overburden tends to lead a circular critical path while the batter after overburden removal shows a trend of block sliding as interpreted by the shear and tensile strains simulated. The existence of joints and the hydrostatic water pressure in the joints could adversely affect the stability of brown coal batter towards block failure. Precipitation can increase the deformation, excess pore pressure, total pore pressure, active pressure and decrease the matric suction, and thereby decrease the shear strength, effective stress, and batter stability. The results from the three-dimensional hydro-mechanically coupled finite element study were well agreed with the field monitored data, theoretical calculations, and Victorian brown coal mining experience.
Description: Doctor of Philosophy

Characterisation of the deformation behaviour of unbound granular materials using repeated load triaxial testing

- Zhalehjoo, Negin

Authors: Zhalehjoo, Negin
Date: 2018
Type: Text , Thesis , PhD
Full Text: false
Description: Unbound Granular Materials (UGMs) are used in the base/subbase layers of flexible pavements for the majority of roads around the world. The deterioration of pavements increases with the increase of traffic loadings. To ensure the long-term performance and serviceability of pavement structures through a realistic design, the precise evaluation and comprehensive characterisation of the resilient and permanent deformation behaviour of pavement materials are essential. The present PhD study aims to investigate the characterisation of the resilient and permanent deformation behaviour of four road base UGMs sourced from quarries in Victoria, Australia, using Repeated Load Triaxial (RLT) testing. The triaxial system used in this study is instrumented with four axial deformation measurement transducers to achieve highly precise measurements and to evaluate the effect of instrumentation on the resilient modulus of UGMs. The resilient Poisson’s ratio of the studied UGMs is also determined using a radial Hall-Effect transducer. Moreover, a series of permanent deformation tests is performed to precisely characterise the axial and radial permanent deformation behaviour of UGMs and investigate the factors that may significantly influence the accumulated axial and radial permanent deformations. Finally, three permanent deformation models incorporated with a time-hardening procedure are employed to predict the magnitude of permanent strain for multiple stress levels of the RLT test. The predictions using the employed models are then compared against the measured values to evaluate the suitability of the models and to identify the model that best predicts the strain accumulation behaviour of the tested UGMs. While this study focuses on the resilient and permanent deformation behaviour of four Victorian UGMs under repeated loading, the knowledge generated from this comprehensive investigation will contribute towards the global development of more reliable methods for evaluating the long-term performance of pavement structures and minimising road maintenance and repair costs.
Description: Doctor of Philosophy

Lime stabilisation of an Australian silty clay and its application in construction of excavation retaining walls by cutter soil mixing

- Ranjbar Pouya, Kaveh

Authors: Ranjbar Pouya, Kaveh
Date: 2018
Type: Text , Thesis , PhD
Full Text: false
Description: Coode Island Silt (CIS) is one of the predominant geological units in Melbourne, Australia. Having high compressibility and low shear strength, CIS is considered a problematic soft soil that challenges the construction of infrastructure in the region. To tackle such challenges, one practical approach is the application of ground improvement techniques such as in situ soil mixing. This PhD study focuses on the application of Cutter Soil Mixing (CSM) for the construction of excavation retaining walls in CIS. Although cement is widely used in most CSM projects, this study investigates the suitability of different lime types available in the Australian market as a potential alternative to cement for the stabilisation of CIS. To investigate the effect of lime stabilisation, a comprehensive geotechnical characterisation of untreated and lime treated CIS is performed. Four different lime types are used: agricultural lime, quicklime, hydrated lime and slag lime. Based on the results obtained from strength tests, slag lime was found to be the most effective among the four types that were tested. The optimum slag lime to CIS ratio is then found for the construction of retaining walls in CIS. Having the geotechnical characterisation of untreated and treated CIS from the laboratory experiments, a series of two-dimensional and three-dimensional finite element method (FEM) analyses were conducted to investigate the applicability and reliability of the selected mixing ratio for the construction of CSM excavation retaining walls in CIS. A nonlinear constitutive soil model was employed, calibrated and verified to be used in FEM analyses to investigate both the stability factor of safety and excavation-induced deformations. The results obtained for both undrained and fully coupled flow deformation analyses prove that CSM panels can be constructed by mixing slag lime and CIS to act as retaining walls to allow for deep excavation in CIS.
Description: Doctor of Philosophy

A kinship of creatures : Exploring the mutuality of lived experience

- Ní Shíocháin, Máirín

Authors: Ní Shíocháin, Máirín
Date: 2017
Type: Text , Thesis , PhD
Full Text: false
Description: This practice-led research explores questions of interspecies empathy, mutuality and kinship within the context of visual art. The study is situated broadly within the cross-disciplinary field of Animal Studies and espouses an animal advocacy stance within contemporary arts practice. It addresses concerns about the role of animals in contemporary art and proposes that creating art should not subordinate the ethical treatment of animals. The parameters of this investigation are defined by empathy theory, or Einfühlung. This was deemed an appropriate foundation to underpin the research given its historical association with aesthetic perceptions of works of art as well as empathic responses to other living entities including non-humans. Einfühlung and other contributing conceptual frameworks, including compassionate conservation and animal individuality are thoroughly evaluated in a review of relevant literature. Current arts practice in which the ‘animal’ plays a role is critically examined. The consequences for animals in contemporary art are more often malign than benign and this contrasts with progressive thinking about animal sentience in other areas of philosophical research. In a distillation of the above theoretical concepts, the research further references issues relating to selective application of care for non-human animals, in which the level of consideration is often dependent on human perceptions of the creatures’ status, for example native or introduced animals. The results of the research were revealed through a body of practical work including sculpture, collage, prints and artists’ books which depict a variety of animals and birds, both native and non-native, encountered as part of everyday experience; a visual exploration in which human-perspective classification of animals does not play a part.
Description: Doctor of Philosophy

The assumed divide : Examining gender, feminism and relationships through visual art

- Hollis, Sylvia

Authors: Hollis, Sylvia
Date: 2017
Type: Text , Thesis , Masters
Full Text: false
Description: The Assumed Divide is a visual arts based, practice-led research project which explores expectations of gender within the context of interpersonal relationships, structured through feminist theory. I created a collection of small, figurative sculptures inspired by experiences of animosity and misunderstanding, to locate areas of gendered interpersonal ambivalence. This thesis proposes that feminism might enhance gender relations by deconstructing harmful stereotypes and by encouraging empathy and respect for diversity. Issues such as reproductive choice, intergenerational debate, and uncertainty in aims are discussed as apparent impediments to the unity of feminism, against a patriarchal tradition that grants men categorical universality. I argue that by dismantling the perception of male unification and by elucidating the multitudinous similarities and variances of human experience, feminism makes advances in eliminating sexism. I also examine how binary gender division, with an assumption of distinct difference between male and female, generates conflict and power dynamics advantageous to men, diminishing the quality of heterosexual and social relationships. The observation that overlapping gender traits blur boundaries of male and female, and that rigid categorisations are not indisputably representative of all people, may offer more points of connection to bridge the divide of gender. Each artwork in The Assumed Divide reflects on gendered experience, with sculpted depictions of disintegrated flesh acting as visual manifestations of the psyches and social conditions of the figures. Working realistically on a small scale, and integrating found silver trays as motifs of domesticity and relationships, my intent is to directly stimulate contemplation of the themes in context to viewers’ lives, recognising that the audience is free to find their own meaning in the works. Discussion of these pieces, alongside works by other artists who broach topics of feminism, gender, and relationships, exemplifies the capacity for art to infuse theory with personal insight, inspired and derived from the lives of both artist and viewer.
Description: Masters by Research

Multiple perspectives on the development of a safe school culture within a new educational setting : a case study of cultural change in a Prep to Year 12 school in regional Victoria

- Iles, Lyndsey

Authors: Iles, Lyndsey
Date: 2014
Type: Text , Thesis , EdD
Full Text: false
Description: "This thesis explores the impact of the implementation and embedding of the Restorative Practices philosophy and practices into a Year Prep to Year Twelve College in Victoria from the perspective of the students, staff and community members. The amalgamation of a number of small regional primary, specialist and secondary schools in 2005 resulted in a less than satisfactory consolidated school environment. Students and staff reported that they felt unsafe in the new college, and that, consequently, the opportunities for learning were severely compromised. The school and community were thus required to attempt a reinvigoration of the school culture to meet the needs of the students and staff of the new college. It was found that within the context of developing a safe and supportive learning environment, relationships were central to the new approaches towards learning. In this process, it was found that the notion of cultural change became intertwined with the building of relationships between students and students, and students and staff. Thus, this study centred on understanding, from a case study perspective, how the approaches developed by this school for behaviour management have changed over the duration of the research, and how the iterative process of cultural change reflected a growing awareness among staff of the key issues in promoting mutual respect across the whole school.
Description: Doctor of Education

Age estimation and illicit image detection using a stochastic vision model

- Islam, Mofakharul

Authors: Islam, Mofakharul
Date: 2013
Type: Text , Thesis , PhD
Full Text: false
Description: The main objective of this research is to investigate and implement a robust approach with a view to provide the Law Enforcement Agencies (LEAs) with a dedicated forensic tool in future for inspecting confiscated PCs from the suspected paedophile to detect pedophilic images automatically and prevent children viewing pornographic and age-inappropriate images at their home and school and adults at their workplace while they are on the Internet. To achieve this goal, we use a novel face descriptor to differentiate child face from adult face based on categorical age specific contextual cues that are based on new knowledge in terms of features or contexts representatives of child and adult face. Given that the craniofacial cues contain enough structural information on visual cues on human face encoded in the form of high level features we can categorize age into adult and children in tandem with low level features. Finally, we will present a novel stochastic vision model based on Markov Random Fields (MRF) prior, which learned the pornographic contextual constraints from the training pornographic images and eventually introduce knowledge on pornography into our proposed stochastic classifier allowing classification of images into pornographic or benign.
Description: Doctor of Philosophy

Nonsmooth optimization algorithms for clusterwise linear regression

- Mirzayeva, Hijran

Authors: Mirzayeva, Hijran
Date: 2013
Type: Text , Thesis , PhD
Full Text: false
Description: Data mining is about solving problems by analyzing data that present in databases. Supervised and unsupervised data classification (clustering) are among the most important techniques in data mining. Regression analysis is the process of fitting a function (often linear) to the data to discover how one or more variables vary as a function of another. The aim of clusterwise regression is to combine both of these techniques, to discover trends within data, when more than one trend is likely to exist. Clusterwise regression has applications for instance in market segmentation, where it allows one to gather information on customer behaviors for several unknown groups of customers. There exist different methods for solving clusterwise linear regression problems. In spite of that, the development of efficient algorithms for solving clusterwise linear regression problems is still an important research topic. In this thesis our aim is to develop new algorithms for solving clusterwise linear regression problems in large data sets based on incremental and nonsmooth optimization approaches. Three new methods for solving clusterwise linear regression problems are developed and numerically tested on publicly available data sets for regression analysis. The first method is a new algorithm for solving the clusterwise linear regression problems based on their nonsmooth nonconvex formulation. This is an incremental algorithm. The second method is a nonsmooth optimization algorithm for solving clusterwise linear regression problems. Nonsmooth optimization techniques are proposed to use instead of the Sp¨ath algorithm to solve optimization problems at each iteration of the incremental algorithm. The discrete gradient method is used to solve nonsmooth optimization problems at each iteration of the incremental algorithm. This approach allows one to reduce the CPU time and the number of regression problems solved in comparison with the first incremental algorithm. The third algorithm is an algorithm based on an incremental approach and on the smoothing techniques for solving clusterwise linear regression problems. The use of smoothing techniques allows one to apply powerful methods of smooth nonlinear programming to solve clusterwise linear regression problems. Numerical results are presented for all three algorithms using small to large data sets. The new algorithms are also compared with multi-start Sp¨ath algorithm for clusterwise linear regression.
Description: Doctor of Philosophy

Understanding the Barriers to Improving Occupational Health and Safety in a Medium Sized Business: “An Insider’s View”

- Teusner, Annabel

Authors: Teusner, Annabel
Date: 2013
Type: Text , Thesis , PhD
Full Text: false
Description: Medium sized workplaces are often grouped with small enterprises, yet they can have unique characteristics compared to more intensively studied small and large organisations, however, these differences are often not clearly recognised. The food processing industry is often part of the small and medium sized enterprises (SME) group and has a higher rate of accidents, injury and disease compared with many other industry groups. To improve safety performance in medium enterprises (within the food processing industry), there is a need to identify the perceived barriers to improving OHS amongst managers, supervisors, and process workers. This research provides a unique insider’s point of view of a food packing room within a food manufacturing plant in Melbourne. It is a single case design study, focusing on a specific medium sized enterprise, using insider research and an ethnographic approach to gain a greater understanding of the perceived barriers to improving OHS. The first part of this research focused on understanding the safety culture of the organisation, from different hierarchical perspectives, using Hudson’s Evolution of Safety Cultures model. The second part utilised the Health Belief model to identify the barriers to improving OHS from multiple perspectives of managers, supervisors and process workers. Following the analysis of the results, five barriers were identified: (i) fragmentation of group perspectives; (ii) poor communication between and within the hierarchical groups; (iii) limited OHS training and competency; (iv) inadequate management commitment to OHS; and (v) lack of empowerment. This created tensions amongst and between the groups. However, further examination of these findings suggested a deeper reason for the difficulty in improving the OHS, which was affecting the organisation. The most significant barrier to improving OHS at this workplace was the learned helplessness that had developed over a period of time and had filtered through all hierarchical groups. A reflection on the choice of methodology (insider research) and the importance of ethical considerations and the depth of meaning that was drawn from this research has been presented in this thesis. Learned helplessness has been discussed in the context of a medium sized enterprise and its significance to the contribution to OHS literature. Recommendations have been provided in terms of addressing learned helplessness within a medium sized enterprise, by changing the way individuals think, using learned optimism. Other changes that have been presented have included organisation design, facilitating improved communication and goal setting, and the investigation into the supporting role of supply chains toward OHS initiatives.
Description: Doctor of Philosophy

Learning Bayesian networks based on optimization approaches

- Taheri, Sona

Authors: Taheri, Sona
Date: 2012
Type: Text , Thesis , PhD
Full Text: false
Description: Learning accurate classifiers from preclassified data is a very active research topic in machine learning and artifcial intelligence. There are numerous classifier paradigms, among which Bayesian Networks are very effective and well known in domains with uncertainty. Bayesian Networks are widely used representation frameworks for reasoning with probabilistic information. These models use graphs to capture dependence and independence relationships between feature variables, allowing a concise representation of the knowledge as well as efficient graph based query processing algorithms. This representation is defined by two components: structure learning and parameter learning. The structure of this model represents a directed acyclic graph. The nodes in the graph correspond to the feature variables in the domain, and the arcs (edges) show the causal relationships between feature variables. A directed edge relates the variables so that the variable corresponding to the terminal node (child) will be conditioned on the variable corresponding to the initial node (parent). The parameter learning represents probabilities and conditional probabilities based on prior information or past experience. The set of probabilities are represented in the conditional probability table. Once the network structure is constructed, the probabilistic inferences are readily calculated, and can be performed to predict the outcome of some variables based on the observations of others. However, the problem of structure learning is a complex problem since the number of candidate structures grows exponentially when the number of feature variables increases. This thesis is devoted to the development of learning structures and parameters in Bayesian Networks. Different models based on optimization techniques are introduced to construct an optimal structure of a Bayesian Network. These models also consider the improvement of the Naive Bayes' structure by developing new algorithms to alleviate the independence assumptions. We present various models to learn parameters of Bayesian Networks; in particular we propose optimization models for the Naive Bayes and the Tree Augmented Naive Bayes by considering different objective functions. To solve corresponding optimization problems in Bayesian Networks, we develop new optimization algorithms. Local optimization methods are introduced based on the combination of the gradient and Newton methods. It is proved that the proposed methods are globally convergent and have superlinear convergence rates. As a global search we use the global optimization method, AGOP, implemented in the open software library GANSO. We apply the proposed local methods in the combination with AGOP. Therefore, the main contributions of this thesis include (a) new algorithms for learning an optimal structure of a Bayesian Network; (b) new models for learning the parameters of Bayesian Networks with the given structures; and finally (c) new optimization algorithms for optimizing the proposed models in (a) and (b). To validate the proposed methods, we conduct experiments across a number of real world problems. Print version is available at: http://library.federation.edu.au/record=b1804607~S4
Description: Doctor of Philosophy

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