Digital Commons Network^™

What Temporal Resolution Is Required For Remote Sensing Of Regional Aerosol Concentrations Using The Himawari-8 Geostationary Satellite, Miles Sowden, Ute Mueller, David Blake

Research outputs 2014 to 2021

Few studies have directly addressed the question of what temporal resolution is required for air quality studies using geostationary remote sensing data. If timescales are too large, there is a risk that events affecting air quality may be missed; and if too small, there is a possibility that large data files may be processed frequently, at significant computing cost and potentially without concomitant improvements in the monitoring of air quality. The problem is particularly significant in sparsely populated regional areas such as the Pilbara in Western Australia, where air quality issues arising from a range of events, dispersed over a …

Microbial Rhodopsins Are Major Contributors To The Solar Energy Captured In The Sea, Laura Gómez-Consarnau, John A. Raven, Naomi M. Levine, Lynda S. Cutter, Deli Wang, Brian Seegers, Javier Arístegui, Jed A. Fuhrman, Josep M. Gasol, Sergio A. Sañudo-Wilhelmy

Research outputs 2014 to 2021

All known phototrophic metabolisms on Earth rely on one of three categories of energy-converting pigments: chlorophyll-a (rarely -d), bacteriochlorophyll-a (rarely -b), and retinal, which is the chromophore in rhodopsins. While the significance of chlorophylls in solar energy capture has been studied for decades, the contribution of retinal-based phototrophy to this process remains largely unexplored. We report the first vertical distributions of the three energy-converting pigments measured along a contrasting nutrient gradient through the Mediterranean Sea and the Atlantic Ocean. The highest rhodopsin concentrations were observed above the deep chlorophyll-a maxima, and their geographical distribution tended to be inversely related to …

A Framework For Characterising And Evaluating The Effectiveness Of Environmental Modelling, Serena H. Hamilton, Baihua Fu, Joseph H.A. Guillaume, Jennifer Badham, Sondoss Elsawah, Patricia Gober, Randall J. Hunt, Takuya Iwanaga, Anthony J. Jakeman, Daniel P. Ames, Allan Curtis, Mary C. Hill, Suzanne A. Pierce, Fateme Zare

Research outputs 2014 to 2021

Environmental modelling is transitioning from the traditional paradigm that focuses on the model and its quantitative performance to a more holistic paradigm that recognises successful model-based outcomes are closely tied to undertaking modelling as a social process, not just as a technical procedure. This paper redefines evaluation as a multi-dimensional and multi-perspective concept, and proposes a more complete framework for identifying and measuring the effectiveness of modelling that serves the new paradigm. Under this framework, evaluation considers a broader set of success criteria, and emphasises the importance of contextual factors in determining the relevance and outcome of the criteria. These …

A Cancelable Iris- And Steganography-Based User Authentication System For The Internet Of Things, Wencheng Yang, Song Wang, Jiankun Hu, Ahmed Ibrahim, Guanglou Zhang, Marcelo Jose Macedo, Michael N. Johnstone, Craig Valli

Research outputs 2014 to 2021

Remote user authentication for Internet of Things (IoT) devices is critical to IoT security, as it helps prevent unauthorized access to IoT networks. Biometrics is an appealing authentication technique due to its advantages over traditional password-based authentication. However, the protection of biometric data itself is also important, as original biometric data cannot be replaced or reissued if compromised. In this paper, we propose a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data. Most of the existing cancelable iris biometric systems need a user-specific key to guide feature transformation, e.g., permutation or …

The Challenges Of Digital Legacy Management On The Value Of Digital Objects To Older Australians, Derani Nathasha Dissanayake

Theses: Doctorates and Masters

People spend a considerable amount of time and money in collecting digital objects. Nine out of ten Australians have a social media account but 83% of them have not discussed with their family members what should happen to their social media accounts when they die (Steen, D’Alessandro, Graves, Perkins, Genders, Barbera, Shi, McGrath & Davis, 2017). Only 3% of Australians who had a Will included social media accounts in their Wills. People collect digital objects yet little attention is paid to their preservation. 71% of Australians are unaware of what happens to their digital assets when they die (Ibid, 2017). …

Modelling Preservice Science Teachers’ Environment-Friendly Behaviours, Murat Berat Uçar, Erdal Canpolat

Australian Journal of Teacher Education

: The purpose of this study was to examine the relationships among the preservice science teachers’ proenvironmental behaviours, environmental identity, and ecocentric and anthropocentric attitudes toward environment. A total of 576 (407 females and 169 males) preservice science teachers enrolling in five public universities’ education faculties in Eastern and South-eastern Anatolian Region of Turkey were administered a questionnaire regarding the variables. Convenience sampling method was chosen to constitute the sample of this study. In order to analyse the data collected, descriptive statistics and path analysis as inferential statistics were utilized. According to the results of the study, preservice science teachers …

Cross Faculty Collaboration In The Development Of An Integrated Mathematics And Science Initial Teacher Education Program, Sharon P. Fraser, Kim Beswick, Margaret Penson, Andrew Seen, Robert Whannell

Australian Journal of Teacher Education

This paper describes a collaborative project involving mathematicians, scientists and educators at an Australian university where an innovative initial teacher education (ITE) degree in mathematics/science was developed. The theoretical frameworks of identity theory and academic brokerage and their use in understanding the challenges associated with the early stages of collaborative projects is described. Data from reflections and interviews of the participants after involvement in the project from one to three years are presented to illustrate these challenges. The paper concludes with a description of the importance of the academic broker in overcoming identity challenges and facilitating cultural change for academics …

Engaging Adolescent Kyrgyzstani Efl Students In Digital Storytelling Projects About Astronomy, Nadezhda Chubko, Julia E. Morris, David H. Mckinnon, Eileen V. Slater, Geoffrey W. Lummis

Research outputs 2014 to 2021

This research is based on the Journey through Space and Time (JTST) educational astronomy project for primary and junior high school science curricula in Australia, which seeks to improve students' astronomy content knowledge through science inquiry. The focus of the current project is on the learning needs of students for whom the language of instruction is a foreign or second language (EFL/ESL). This article reports the results of a pilot case study conducted in Bishkek, Kyrgyzstan in December 2017. The research employed a Type II Case Study design. Data were collected through video and audio recordings of classroom interactions. The …

Sandwich-Structured, Damage-Resistant Tin/Graded Tisin/Tisin Film, Shuang Peng, Jiang Xu, Paul Munroe, Zonghan Xie

Research outputs 2014 to 2021

The development of hard, multi-layer coatings is an effective strategy to enhance the wear resistance of cutting tools and so extend their service life. In the present study, a sandwich structured TiN/g-TiSiN/TiSiN film (where a graded (g-) TiSiN layer with an increasing Si content from 0 to 10 at% was inserted as a transitional layer between the TiN layer and the TiSiN layer with a fixed silicon content of 10 at%) was prepared on to a M42 tool steel substrate. Its mechanical properties were compared to both a dual-layered TiN/g-TiSiN film and a monolithic TiN film. Nanoindentation testing, assisted by …

Rethinking Global-Regulation: World’S Law Meets Artificial Intelligence, Nachshon Sean Goltz, Addison Cameron-Huff, Giulia Dondoli

Research outputs 2014 to 2021

This article takes a critical look at Machine Translation of legal text, especially global legislation, through the discussion of Global-Regulation, a state of the art online search engine of the world’s legislation in English. Part 2 explains the rationale for an online platform such as Global-Regulation. Part 3 provides a brief account of the history of the development of machine translation, and it describes some of the limits of the use of statistical machine translation for translating legal texts. Part 4 describes Neural Machine Translation (NMT), which is a new generation of machine translation systems. Finally, Parts 5 and 6 …

Effective Modeling For Integrated Water Resource Management: A Guide To Contextual Practices By Phases And Steps And Future Opportunities, Jennifer Badham, Sondoss Elsawah, Joseph H.A. Guillaume, Serena H. Hamilton, Randall J. Hunt, Anthony J. Jakeman, Suzanne A. Pierce, Valerie O. Snow, Meghna Babbar-Sebens, Baihua Fu, Patricia Gober, Mary C. Hill, Takuya Iwanaga, Daniel P. Loucks, Wendy S. Merritt, Scott D. Peckham, Amy K. Richmond, Fateme Zare, Daniel Ames, Gabriele Bammer

Research outputs 2014 to 2021

The effectiveness of Integrated Water Resource Management (IWRM) modeling hinges on the quality of practices employed through the process, starting from early problem definition all the way through to using the model in a way that serves its intended purpose. The adoption and implementation of effective modeling practices need to be guided by a practical understanding of the variety of decisions that modelers make, and the information considered in making these choices. There is still limited documented knowledge on the modeling workflow, and the role of contextual factors in determining this workflow and which practices to employ. This paper attempts …

Simulating Rewetting Events In Intermittent Rivers And Ephemeral Streams: A Global Analysis Of Leached Nutrients And Organic Matter, Oleksandra Shumilova, Dominik Zak, Thibault Datry, Daniel Von Schiller, Roland Corti, Arnaud Foulquier, Biel Obrador, Klement Tockner, Daniel C. Allan, Florian Altermatt, María Isabel Arce, Shai Arnon, Damien Banas, Andy Banegas‐Medina, Erin Beller, Melanie L. Blanchette, Juan F. Blanco‐Libreros, Joanna Blessing, Iola Gonçalves Boëchat, Kate Boersma, Michael T. Bogan, Núria Bonada, Nick R. Bond, Kate Brintrup, Andreas Bruder, Ryan Burrows, Tommaso Cancellario, Stephanie M. Carlson, Sophie Cauvy‐Fraunié, Núria Cid, Michael Danger, Bianca De Freitas Terra, Anna Maria De Girolamo, Ruben Del Campo, Fiona Dyer, Arturo Elosegi, Emile Faye, Catherine Febria, Ricardo Figueroa, Brian Four, Mark O. Gessner, Pierre Gnohossou, Rosa Gómez Cerezo, Lluís Gomez‐Gener, Manuel A.S. Graça, Simone Guareschi, Björn Gücker, Jason L. Hwan, Skhumbuzo Kubheka, Simone Daniela Langhans, Catherine Leigh, Chelsea J. Little, Stefan Lorenz, Jonathan Marshall, Angus Mcintosh, Clara Mendoza‐Lera, Elisabeth Irmgard Meyer, Marko Miliša, Musa C. Mlambo, Marcos Moleón, Peter Negus, Dev Niyogi, Athina Papatheodoulou, Isabel Pardo, Petr Paril, Vladimir Pešić, Pablo Rodriguez‐Lozano, Robert J. Rolls, Maria Mar Sanchez‐Montoya, Ana Savić, Alisha Steward, Rachel Stubbington, Amina Taleb, Ross Vander Vorste, Nathan Waltham, Annamaria Zoppini, Christiane Zarfl

Research outputs 2014 to 2021

Climate change and human pressures are changing the global distribution and the extent of intermittent rivers and ephemeral streams (IRES), which comprise half of the global river network area. IRES are characterized by periods of flow cessation, during which channel substrates accumulate and undergo physico‐chemical changes (preconditioning), and periods of flow resumption, when these substrates are rewetted and release pulses of dissolved nutrients and organic matter (OM). However, there are no estimates of the amounts and quality of leached substances, nor is there information on the underlying environmental constraints operating at the global scale. We experimentally simulated, under standard laboratory …

Development Of An In-Field Method For The Detection Of Barium In Various Water Samples Using Differential Pulse Anodic Stripping Voltammetry, Samantha Ridgway, Magdalena Wajrak

Research outputs 2014 to 2021

This work presents a reliable, cost-effective, rapid and in-field voltammetric method for the detection of barium. The optimized method consists of an ultrathin mercury film deposited in situ on a glassy carbon electrode in dilute potassium chloride without deoxygenation, using differential pulse anodic stripping voltammetry (DP-ASV). Application of the method allowed for the quantitative determination of barium concentration in a variety of waters and brake pad dust samples. Comparative analysis of sample results from DP-ASV with inductively coupled plasma mass spectroscopy (ICP-MS) showed a mean percent difference of 1.8%.

A Simheuristic Approach For Evolving Agent Behaviour In The Exploration For Novel Combat Tactics, Chiou-Peng Lam, Martin Masek, Luke Kelly, Michael Papasimeon, Lyndon Benke

Research outputs 2014 to 2021

The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task. Unlike traditional optimisation techniques such as hill-climbing or derivatives-based methods, Genetic Algorithms are robust for addressing highly multi-modal and discontinuous search landscapes. In this paper, we outline a simheuristic GA-based approach for automatic generation of finite state machine based behavioural models of intelligent agents, where the aim is the identification of novel combat tactics. Rather than evolving states, the proposed …

The Nexus Between Social Impacts And Adaptation Strategies Of Workers To Occupational Heat Stress: A Conceptual Framework, Victor Fannam Nunfam, Kwadwo Adusei-Asante, Eddie John Van Etten, Jacques Oosthuizen, Samuel Adams, Kwasi Frimpong

Research outputs 2014 to 2021

Adverse effects of occupational heat stress in the context of the changing climate on working populations are subtle but considerably harmful. However, social dimensions and impacts of climate change–related occupational heat concerns on workers’ safety and health, productivity and well-being are often overlooked or relegated as minor issues in social impact analyses of occupational heat exposure due to climate change. This paper offers a conceptual framework based on an appraisal and synthesis of the literature on social impacts of climate change–related occupational heat exposure on workers’ safety and health, productivity and social welfare and the quest to localise and achieve …

Evaluation Of Incorporating Plastic Wastes Into Asphalt Materials For Road Construction In Ghana, Patricia Nana Ama Asare, Francis Atta Kuranchie, Eric Antwi Ofosu

Research outputs 2014 to 2021

In improving the aesthetics of the environment, the management of plastic wastes cannot be left out of the picture. Among the numerous ways that plastic wastes are managed, incorporating them into plastic roads is another viable option. This study quantified plastic wastes generation in Sunyani Municipality in Ghana and investigated the optimum percentage of asphaltic materials that could be made of plastic wastes for road construction in Ghana. Plastic Wastes were obtained from social gatherings, residential areas and restaurants, there was dialogue with key persons in the plastic industry and various experiments were also conducted for plastic wastes utilization in …

Population Data Centre Profile - The Western Australian Data Linkage Branch, Steve Hodges, Tom Eitelhuber, Alexandra Merchant, Janine Alan

Research outputs 2014 to 2021

Established in 1995, the Western Australian Data Linkage Branch (DLB) is Australia’s longest running data linkage agency. The Western Australian Data Linkage System (WADLS) employs an enduring linkage model spanning over 60 data collections supported by internally developed and supported software and IT infrastructure. DLB has delivered, and continues to deliver, a range of significant data linkage innovations, many of which have been adopted elsewhere. A current restructure within the Western Australian Department of Health (which we will refer to as the Department of Health) will provide an improved funding model geared toward addressing issues with staff retention, capacity and …

Facial Re-Enactment, Speech Synthesis And The Rise Of The Deepfake, Nicholas Gardiner

Theses : Honours

Emergent technologies in the fields of audio speech synthesis and video facial manipulation have the potential to drastically impact our societal patterns of multimedia consumption. At a time when social media and internet culture is plagued by misinformation, propaganda and “fake news”, their latent misuse represents a possible looming threat to fragile systems of information sharing and social democratic discourse. It has thus become increasingly recognised in both academic and mainstream journalism that the ramifications of these tools must be examined to determine what they are and how their widespread availability can be managed.

This research project seeks to examine …

Toward Collaborative Open Data Science In Metabolomics Using Jupyter Notebooks And Cloud Computing, Kevin M. Mendez, Leighton Pritchard, Stacey N. Reinke, David I. Broadhurst

Research outputs 2014 to 2021

Background

A lack of transparency and reporting standards in the scientific community has led to increasing and widespread concerns relating to reproduction and integrity of results. As an omics science, which generates vast amounts of data and relies heavily on data science for deriving biological meaning, metabolomics is highly vulnerable to irreproducibility. The metabolomics community has made substantial efforts to align with FAIR data standards by promoting open data formats, data repositories, online spectral libraries, and metabolite databases. Open data analysis platforms also exist; however, they tend to be inflexible and rely on the user to adequately report their methods …

Australian Vegetated Coastal Ecosystems As Global Hotspots For Climate Change Mitigation, Oscar Serrano, Catherine E. Lovelock, Trisha B. Atwood, Peter I. Macreadie, Robert Canto, Stuart Phinn, Ariane Arias-Ortiz, Le Bai, Jeff Baldock, Camila Bedulli, Paul Carnell, Rod M. Connolly, Paul Donaldson, Alba Esteban, Carolyn J. Ewers Lewis, Bradley D. Eyre, Matthew A. Hayes, Pierre Horwitz, Lindsay B. Hutley, Christopher R. J. Kavazos, Jeffrey J. Kelleway, Gary A. Kendrick, Kieryn Kilminster, Anna Lafratta, Shing Lee, Paul S. Lavery, Damien T. Maher, Núria Marbà, Pere Masque, Miguel A. Mateo, Richard Mount, Peter J. Ralph, Chris Roelfsema, Mohammad Rozaimi, Radhiyah Ruhon, Cristian Salinas, Jimena Samper-Villarreal, Jonathan Sanderman, Christian J. Sanders, Isaac Santos, Chris Sharples, Andrew D. L. Steven, Toni Cannard, Stacey M. Trevathan-Tackett, Carlos M. Duarte

Research outputs 2014 to 2021

Policies aiming to preserve vegetated coastal ecosystems (VCE; tidal marshes, mangroves and seagrasses) to mitigate greenhouse gas emissions require national assessments of blue carbon resources. Here, we present organic carbon (C) storage in VCE across Australian climate regions and estimate potential annual CO₂ emission benefits of VCE conservation and restoration. Australia contributes 5–11% of the C stored in VCE globally (70–185 Tg C in aboveground biomass, and 1,055–1,540 Tg C in the upper 1 m of soils). Potential CO₂ emissions from current VCE losses are estimated at 2.1–3.1 Tg CO₂-e yr^-1, increasing annual CO …

False Image Injection Prevention Using Ichain, Mohiuddin Ahmed

Research outputs 2014 to 2021

The advances in information and communication technology are consistently beneficial for the healthcare sector. A trend in the healthcare sector is the progressive shift in how data are acquired and the storage of such data in different facilities, such as in the cloud, due to the efficiency and effectiveness offered. Digital images related to healthcare are sensitive in nature and require maximum security and privacy. A malicious entity can tamper with such stored digital images to mislead healthcare personnel and the consequences of wrong diagnosis are harmful for both parties. A new type of cyber attack, a false image injection …

Modeling Organic Carbon Accumulation Rates And Residence Times In Coastal Vegetated Ecosystems, E. Fay Belshe, Jose Sanjuan, Carmen Leiva-Dueñas, Nerea Piñeiro-Juncal, Oscar Serrano, Paul Lavery, Miguel Angel Mateo

Research outputs 2014 to 2021

Coastal vegetated “blue carbon” ecosystems can store large quantities of organic carbon (OC) within their soils; however, the importance of these sinks for climate change mitigation depends on the OC accumulation rate (CAR) and residence time. Here we evaluate how two modeling approaches, a Bayesian age-depth model alone or in combination with a two-pool OC model, aid in our understanding of the time lines of OC within seagrass soils. Fitting these models to data from Posidonia oceanica soil cores, we show that age-depth models provided reasonable CAR estimates but resulted in a 22% higher estimation of OC burial rates when …

Design Of A Hybrid Measure For Image Similarity: A Statistical, Algebraic, And Information-Theoretic Approach, Mohammed Abdulameer Aljanabi, Zahir M. Hussain, Noor Abd Alrazak Shnain, Song Feng Lu

Research outputs 2014 to 2021

Image similarity or distortion assessment is fundamental to a wide range of applications throughout the field of image processing and computer vision. Many image similarity measures have been proposed to treat specific types of image distortions. Most of these measures are based on statistical approaches, such as the classic SSIM. In this paper, we present a different approach by interpolating the information theory with the statistic, because the information theory has a high capability to predict the relationship among image intensity values. Our unique hybrid approach incorporates information theory (Shannon entropy) with a statistic (SSIM), as well as a distinctive …

Knowledge Management Overview Of Feature Selection Problem In High-Dimensional Financial Data: Cooperative Co-Evolution And Map Reduce Perspectives, A. N. M. Bazlur Rashid, Tonmoy Choudhury

Research outputs 2014 to 2021

The term "big data" characterizes the massive amounts of data generation by the advanced technologies in different domains using 4Vs volume, velocity, variety, and veracity-to indicate the amount of data that can only be processed via computationally intensive analysis, the speed of their creation, the different types of data, and their accuracy. High-dimensional financial data, such as time-series and space-Time data, contain a large number of features (variables) while having a small number of samples, which are used to measure various real-Time business situations for financial organizations. Such datasets are normally noisy, and complex correlations may exist between their features, …

An Empiric Path Towards Fraud Detection And Protection For Nfc-Enabled Mobile Payment System, Pinki Prakash Vishwakarma, Amiya Kumar Tripathy, Srikanth Vemuru

Research outputs 2014 to 2021

The synthesis of NFC technology accompanying mobile payment is a state-of-the-art resolution for payment users. In view of rapid development in electronic payment system there is rise in fraudulent activity in banking transactions associated with credit cards and card-not-present transaction. M-Commerce aid the consumers and helps to bestow real-time information in payment system. Due to the familiarization of m-commerce there is cogent increase in the number of fraudulent activities, emerging in billions of dollar loss every year worldwide. To absolute the security breaches, payment transactions could be confined by considering various parameters like user and device authentication, consumer behavior pattern, …

Seagrass Soil Archives Reveal Centennial-Scale Metal Smelter Contamination While Acting As Natural Filters, Anna Lafratta, O Serrano, Pere Masque, Miguel Mateo, Milena Fernandes, Sam Gaylard, Paul Lavery

Research outputs 2014 to 2021

The upper Spencer Gulf in South Australia hosts the world's largest single stream Pb-Zn smelter, which has caused environmental and health issues related to elevated metal concentrations in the surrounding environment. The area also has extensive seagrass meadows, occupying >4000 km². We reconstructed the fluxes of heavy metals over the last ~3000 years through a multi-parameter study of the soil archives formed by the seagrass Posidonia australis. Pb, Zn and Cd concentrations increased up to 9-fold following the onset of smelter operations in the 1880s, and the stable Pb isotopic signatures confirmed the smelter has been the main …

Climate Change And Occupational Heat Stress Risks And Adaptation Strategies Of Mining Workers: Perspectives Of Supervisors And Other Stakeholders In Ghana, Victor Fannam Nunfam, Eddie Van Etten, Jacques Oosthuizen, Kwadwo Adusei-Asante, Kwasi Frimpong

Research outputs 2014 to 2021

Increasing air temperatures as a result of climate change are worsening the impact of heat exposure on working populations, including mining workers, who are at risk of suffering heat-related illnesses, injury and death. However, inadequate awareness of climate change-related occupational heat stress risks and adaptation strategies have been shown to render occupational heat stress management ineffective. A concurrent mixed-methods approach was used to assess the perceptions of climate change and occupational heat stress risks and adaptation strategies of mining workers among supervisory personnel and other stakeholders in Ghana. Questionnaires and interviews were used to elicit data from 19 respondents. Data …

Effective Plant Discrimination Based On The Combination Of Local Binary Pattern Operators And Multiclass Support Vector Machine Methods, Vi N T Le, Beniamin Apopei, Kamal Alameh

Research outputs 2014 to 2021

Accurate crop and weed discrimination plays a critical role in addressing the challenges of weed management in agriculture. The use of herbicides is currently the most common approach to weed control. However, herbicide resistant plants have long been recognised as a major concern due to the excessive use of herbicides. Effective weed detection techniques can reduce the cost of weed management and improve crop quality and yield. A computationally efficient and robust plant classification algorithm is developed and applied to the classification of three crops: Brassica napus (canola), Zea mays (maize/corn), and radish. The developed algorithm is based on the …

Microstructure Evolution And Electrochemical Properties Of Tio 2 /Ti-35nb-2ta-3zr Micro/Nano-Composites Fabricated By Friction Stir Processing, Hao Gu, Zihao Ding, Zhi Yang, Weiqiang Yu, Wenjie Zhang, Weijie Lu, Lai-Chang Zhang, Kuaishe Wang, Liqiang Wang, Yuan-Fei Fu

Research outputs 2014 to 2021

Forming stable anti-corrosion surface layer and homogenized microstructure on the surface of material has become a major challenge in developing biomedical β titanium alloy. In the study, TiO 2 /Ti-35Nb-2Ta-3Zr anti-corrosion micro/nano-composites with different amount of TiO 2 particles were successfully fabricated by one-pass friction stir processing (FSP). The composition, microstructure and electrochemical properties of the material are characterized systematically. In particular, compact passive oxide films formed on surface of the material after electrochemical corrosion are elaborated from constituent, thickness and structural characteristics. Furthermore, the relationship between various FSP parameters, microstructure presented and corresponding corrosion resistance has been discussed in …

Integration Of Biometrics And Steganography: A Comprehensive Review, Ian Mcateer, Ahmed Ibrahim, Guanglou Zhang, Wencheng Yang, Craig Valli

Research outputs 2014 to 2021

The use of an individual’s biometric characteristics to advance authentication and verification technology beyond the current dependence on passwords has been the subject of extensive research for some time. Since such physical characteristics cannot be hidden from the public eye, the security of digitised biometric data becomes paramount to avoid the risk of substitution or replay attacks. Biometric systems have readily embraced cryptography to encrypt the data extracted from the scanning of anatomical features. Significant amounts of research have also gone into the integration of biometrics with steganography to add a layer to the defence-in-depth security model, and this has …