Digital Commons Network^™

Imputation, Modelling And Optimal Sampling Design For Digital Camera Data In Recreational Fisheries Monitoring, Ebenezer Afrifa-Yamoah

Theses: Doctorates and Masters

Digital camera monitoring has evolved as an active application-oriented scheme to help address questions in areas such as fisheries, ecology, computer vision, artificial intelligence, and criminology. In recreational fisheries research, digital camera monitoring has become a viable option for probability-based survey methods, and is also used for corroborative and validation purposes. In comparison to onsite surveys (e.g. boat ramp surveys), digital cameras provide a cost-effective method of monitoring boating activity and fishing effort, including night-time fishing activities. However, there are challenges in the use of digital camera monitoring that need to be resolved. Notably, missing data problems and the cost …

Investigating Self-Efficacy: Early Childhood Teachers’ Understanding Of Self-Efficacy, Dimity Franks

Theses: Doctorates and Masters

Students are experiencing an increased pressure to perform academically at a younger age with reports of the narrowing of curriculum and student disengagement. Current research literature suggests curricula should reflect the increased pressures students are facing. A focus on the social and emotional skills to support student learning is recommended to increase student engagement and enrichment and prepare students for their future. Self-efficacy is one element of social and emotional learning that demands attention. Self-efficacy is considered important for teachers to understand as it can predict how students approach their tasks as well as influence their levels of motivation and …

An Investigation Into The Efficacy Of Url Content Filtering Systems, Brett Ronald Turner

Theses: Doctorates and Masters

Content filters are used to restrict to restrict minors from accessing to online content deemed inappropriate. While much research and evaluation has been done on the efficiency of content filters, there is little in the way of empirical research as to their efficacy. The accessing of inappropriate material by minors, and the role content filtering systems can play in preventing the accessing of inappropriate material, is largely assumed with little or no evidence. This thesis investigates if a content filter implemented with the stated aim of restricting specific Internet content from high school students achieved the goal of stopping students …

Soil Carbon Stocks Vary Across Geomorphic Settings In Australian Temperate Tidal Marsh Ecosystems, Connor Gorham, Paul Lavery, Jeffrey J. Kelleway, Cristian Salinas, Oscar Serrano

Research outputs 2014 to 2021

Tidal marshes rank among the ecosystems with the highest capacity to sequester and store organic carbon (C_org) on earth. To inform conservation of coastal vegetated ecosystems for climate change mitigation, this study investigated the factors driving variability in carbon storage. We estimated soil C_org stocks in tidal marshes across temperate Western Australia and assessed differences among geomorphic settings (marine and fluvial deltas, and mid-estuary) and vegetation type (Sarcocornia quinqueflora and Juncus kraussii) linked to soil biogeochemistry. Soil C_org stocks within fluvial and mid-estuary settings were significantly higher (209 ± 14 and 211 ± 20 …

Real-Time Monitoring As A Supplementary Security Component Of Vigilantism In Modern Network Environments, Victor R. Kebande, Nickson M. Karie, Richard A. Ikuesan

Research outputs 2014 to 2021

© 2020, The Author(s). The phenomenon of network vigilantism is autonomously attributed to how anomalies and obscure activities from adversaries can be tracked in real-time. Needless to say, in today’s dynamic, virtualized, and complex network environments, it has become undeniably necessary for network administrators, analysts as well as engineers to practice network vigilantism, on traffic as well as other network events in real-time. The reason is to understand the exact security posture of an organization’s network environment at any given time. This is driven by the fact that modern network environments do, not only present new opportunities to organizations but …

Communications In The Time Of A Pandemic: The Readability Of Documents For Public Consumption, Catherine Ferguson, Margaret Merga, Stephen Winn

Research outputs 2014 to 2021

© 2021 The Authors Objective: Government communications in a crisis can influence public health outcomes. This research aimed to investigate if written communications of the most commonly sought sources of COVID-19 information available on the internet have readability levels commensurate with those of the general public. Methods: Online documents from the World Health Organization (WHO), and the governments of Australia, the UK and the US were assessed for readability using an online instrument that calculated scores for the Flesch Reading Ease Score, the SMOG Index and the Readability Consensus Grade Level. Results: Similar to the previous research, most documents assessed …

Identifying Differences In Nutrition-Related Learning Interests Of Adolescent Students, Margaret Miller, Donna Barwood, Michael Furfaro, Julie Boston, Sandra Smith, Martin Masek

Research outputs 2014 to 2021

© 2021 The Authors. Journal of School Health published by Wiley Periodicals LLC. on behalf of American School Health Association. BACKGROUND: In this study, we examined nutrition-related topics among adolescent students attending schools with different Indices of Community Socio-Educational Advantage (ICSEA). METHOD: Participating students (N = 206) from 5 schools in Western Australia completed a paper-based questionnaire on nutrition-related topics. Frequencies and independent chi-square tests were used to identify differences between sexes and school ICSEA. RESULTS: Of the participating students, 75% were interested in learning about 8 of 16 topics. We found statistically significant differences by sex (p < .01) for “Eating the right foods for preventing illness and disease,” “Eating the right food for being active” among girls, and “Reducing food waste” among boys. We also noted differences by school ICSEA. CONCLUSION: Acknowledging sex and socioeducational differences in teaching and learning may help teachers to engage adolescent students in nutrition education.

An Energy-Efficient And Secure Data Inference Framework For Internet Of Health Things: A Pilot Study, James Jin Kang, Mahdi Dibaei, Gang Luo, Wencheng Yang, Paul Haskell-Dowland, Xi Zheng

Research outputs 2014 to 2021

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Privacy protection in electronic healthcare applications is an important consideration, due to the sensitive nature of personal health data. Internet of Health Things (IoHT) networks that are used within a healthcare setting have unique challenges and security requirements (integrity, authentication, privacy, and availability) that must also be balanced with the need to maintain efficiency in order to conserve battery power, which can be a significant limitation in IoHT devices and networks. Data are usually transferred without undergoing filtering or optimization, and this traffic can overload sensors and cause rapid battery consumption …

A Secured Privacy-Preserving Multi-Level Blockchain Framework For Cluster Based Vanet, A. F.M.Suaib Akhter, Mohiuddin Ahmed, A. F.M.Shahen Shah, Adnan Anwar, Ahmet Zengin

Research outputs 2014 to 2021

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Existing research shows that Cluster-based Medium Access Control (CB-MAC) protocols perform well in controlling and managing Vehicular Ad hoc Network (VANET), but requires ensuring improved security and privacy preserving authentication mechanism. To this end, we propose a multi-level blockchain-based privacy-preserving authentication protocol. The paper thoroughly explains the formation of the authentication centers, vehicles registration, and key generation processes. In the proposed architecture, a global authentication center (GAC) is responsible for storing all vehicle information, while Local Authentication Center (LAC) maintains a blockchain to enable quick handover between internal clusters of vehicle. …

School Programming For Homelessness: Perspectives Of Families And Local Homeless Liaisons, Jazlynn J. Paige

All-Inclusive List of Electronic Theses and Dissertations

Thisdissertation focuses on children experiencing homelessness and the effects homelessness has on their academic achievement from the perspective of the children, their parents, and local homeless liaisons. More importantly, this research explores what educators can do to create a positive, supportive, and stable environment at school for children experiencing homelessness by implementing an effective program or a number of support services. Data for the current study were gathered through phone and face-to-face interviews. The participants were 10 parent and child dyads living in a shelter and three school homeless liaisons. The semi-structured interviews focused on the resources, or lack thereof, …

Design And Catastrophe: 51 Scientists Explore Evidence In Nature, Gordon J. Atkins

Faculty Publications

Review of

L. James Gibson, Ronny Nalin, and Humberto M. Rasi, eds. Design and Catastrophe: 51 Scientists Explore Evidence in Nature (Berrien Springs, Mich.: Andrews University Press, 2021). ISBN: 9781940980305 (Print). 240 pages (Hardback), US$24.99.

A Static Code Analysis And Pattern Recognition Algorithm-Driven, Quantitative, Mathematical Model-Oriented Risk Assessment Framework Of Cloud-Based Health Information Applications, Dennis B. Park

All-Inclusive List of Electronic Theses and Dissertations

According to a survey, the healthcare industry is one of the least cloud-adopting industries. The low adoption reflects the healthcare industry's ongoing concerns about the security of the cloud. Business applications, according to another survey, are among the most vulnerable components of business information systems. Many risk assessment frameworks available today, particularly for health information applications, require significant customization before they can be used. This study created a new framework to assess cloud risks specifically for their health information applications, utilizing data-driven risk assessment methodologies to avoid surveys, interviews, and meetings for data collection. For the feasibility study, the open-source …

Genetic And Ecological Consequences Of Recent Habitat Fragmentation In A Narrow Endemic Plant Species Within An Urban Context, Nicola Delnevo, Andrea Piotti, Michele Carbognani, Eddie J. Van Etten, William D. Stock, David L. Field, Margaret Byrne

Research outputs 2014 to 2021

Understanding the timescales that shape spatial genetic structure is pivotal to ascertain the impact of habitat fragmentation on the genetic diversity and reproductive viability of long-lived plant populations. Combining genetic and ecological information with current and past fragmentation conditions allows the identification of the main drivers important in shaping population structure and declines in reproduction, which is crucial for informing conservation strategies. Using historic aerial photographs, we defined the past fragmentation conditions for the shrub Conospermum undulatum, a species now completely embedded in an urban area. We explored the impact of current and past conditions on its genetic layout …

Sensitive And Quantitative Determination Of Short-Chain Fatty Acids In Human Serum Using Liquid Chromatography Mass Spectrometry, Armaghan Shafaei, Veronica Vamathevan, Jessica Pandohee, Nathan G. Lawler, David Broadhurst, Mary C. Boyce

Research outputs 2014 to 2021

Short-chain fatty acids (SCFAs) are increasingly being monitored to elucidate the link between gut health and disease. These metabolites are routinely measured in faeces, but their determination in serum is more challenging due to their low concentrations. A method for the determination of eight SCFAs in serum is described here. High-resolution mass spectrometry and gas chromatography were used to identify the presence of isomeric interferences, which were then overcome through a combination of chromatographic separation and judicious choice of MS fragment ion. The SCFAs were derivatised to form 3-nitrophenylhydrazones before being separated on a reversed-phase column and then detected using …

Evidence Of Large Increases In Sedimentation Rates Due To Fish Trawling In Submarine Canyons Of The Gulf Of Palermo (Sw Mediterranean), Sarah Paradis, Claudio Lo Iacono, Pere Masqué, Pere Puig, Albert Palanques, Tommaso Russo, The Island Cruise Tem

Research outputs 2014 to 2021

Bottom trawling in submarine canyons can affect their natural sedimentation rates, but studies addressing this issue are still scarce. In the Gulf of Palermo (SW Mediterranean), bottom trawling occurs on the slope around Oreto, Arenella and Eleuterio canyons. Analyses of excess 210Pb concentrations and grain size fractions in sediment cores from their canyon axes revealed that sedimentation rates and silt contents increased in all canyons in the 1980s, due to the expansion of more powerful trawlers ( > 500 HP) to deeper fishing grounds. In Eleuterio and Arenella canyons, sedimentation rates increased by an order of magnitude (0.1-1.4 cm·yr-1), whereas they …

A Review Of Security Standards And Frameworks For Iot-Based Smart Environments, Nickson M. Karie, Nor Masri Sahri, Wencheng Yang, Craig Valli, Victor R. Kebande

Research outputs 2014 to 2021

Assessing the security of IoT-based smart environments such as smart homes and smart cities is becoming fundamentally essential to implementing the correct control measures and effectively reducing security threats and risks brought about by deploying IoT-based smart technologies. The problem, however, is in finding security standards and assessment frameworks that best meets the security requirements as well as comprehensively assesses and exposes the security posture of IoT-based smart environments. To explore this gap, this paper presents a review of existing security standards and assessment frameworks which also includes several NIST special publications on security techniques highlighting their primary areas of …

Proteome And Nutritional Shifts Observed In Hordein Double-Mutant Barley Lines, Utpal Bose, Angéla Juhász, Ronald Yu, Mahya Bahmani, Keren Byrne, Malcolm Blundell, James A. Broadbent, Crispin A. Howitt, Michelle L. Colgrave

Research outputs 2014 to 2021

Lysine is the most limiting essential amino acid in cereals, and efforts have been made over the decades to improve the nutritional quality of these grains by limiting storage protein accumulation and increasing lysine content, while maintaining desired agronomic traits. The single lys3 mutation in barley has been shown to significantly increase lysine content but also reduces grain size. Herein, the regulatory effect of the lys3 mutation that controls storage protein accumulation as well as a plethora of critically important processes in cereal seeds was investigated in double mutant barley lines. This was enabled through the generation of three hordein …

Biometrics For Internet‐Of‐Things Security: A Review, Wencheng Yang, Song Wang, Nor Masri Sahri, Nickson M. Karie, Mohiuddin Ahmed, Craig Valli

Research outputs 2014 to 2021

The large number of Internet‐of‐Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric‐based authentication systems for IoT are discussed and classified based on different biometric …

Toward Open Research: A Narrative Review Of The Challenges And Opportunities For Open Humanities, Paul L. Arthur, Lydia A. Hearn

Research outputs 2014 to 2021

Open research represents a new set of principles and methodologies for greater cooperation, transparent sharing of findings, and access to and re-use of research data, materials or outputs, making knowledge more freely available to wider audiences for societal benefit. Yet, the future success of the international move toward open research will be dependent on key stakeholders addressing current barriers to increase uptake, effectiveness, and sustainability. This article builds on “An Agenda for Open Science in Communication,” raising dialog around the need for a broader view of open research as opposed to open science through a deeper understanding of specific challenges …

Federated Deep Learning For Cyber Security In The Internet Of Things: Concepts, Applications, And Experimental Analysis, Mohamed Amine Ferrag, Othmane Friha, Leandros Maglaras, Helge Janicke, Lei Shu

Research outputs 2014 to 2021

In this article, we present a comprehensive study with an experimental analysis of federated deep learning approaches for cyber security in the Internet of Things (IoT) applications. Specifically, we first provide a review of the federated learning-based security and privacy systems for several types of IoT applications, including, Industrial IoT, Edge Computing, Internet of Drones, Internet of Healthcare Things, Internet of Vehicles, etc. Second, the use of federated learning with blockchain and malware/intrusion detection systems for IoT applications is discussed. Then, we review the vulnerabilities in federated learning-based security and privacy systems. Finally, we provide an experimental analysis of federated …

Development Support Of Early Career Researchers In The Netherlands: Lessons For Australia, Craig P. Speelman

Research outputs 2014 to 2021

Australian universities are faced with the imminent retirement of a large proportion of their researchers. One way to avoid a decrement in research performance is to consider greater support for early career researchers (ECRs). To investigate how another university system that is ranked high in research performance supports its ECRs several universities in the Netherlands were visited. Seventeen senior academic staff in these universities were interviewed to examine their perceptions of the support that is provided for the development of ECRs, and the nature of the research environment in which they are employed. Interviews were recorded, transcribed, and coded using …

Prediction Of Mean Wave Overtopping At Simple Sloped Breakwaters Using Kernel-Based Methods, Shabnam Hosseinzadeh, Amir Etemad-Shahidi, Ali Koosheh

Research outputs 2014 to 2021

The accurate prediction of the mean wave overtopping rate at breakwaters is vital for a safe design. Hence, providing a robust tool as a preliminary estimator can be useful for practitioners. Recently, soft computing tools such as artificial neural networks (ANN) have been developed as alternatives to traditional overtopping formulae. The goal of this paper is to assess the capabilities of two kernel-based methods, namely Gaussian process regression (GPR) and support vector regression for the prediction of mean wave overtopping rate at sloped breakwaters. An extensive dataset taken from the EurOtop database, including rubble mound structures with permeable core, straight …

Therapeutic Potential Of Mitophagy-Inducing Microflora Metabolite, Urolithin A For Alzheimer’S Disease, Dona Pamoda W. Jayatunga, Eugene Hone, Harjot Khaira, Taciana Lunelli, Harjinder Singh, Gilles J. Guillemin, Binosha Fernando, Manohar L. Garg, Giuseppe Verdile, Ralph N. Martins

Research outputs 2014 to 2021

Mitochondrial dysfunction including deficits of mitophagy is seen in aging and neuro-degenerative disorders including Alzheimer’s disease (AD). Apart from traditionally targeting amyloid beta (Aβ), the main culprit in AD brains, other approaches include investigating impaired mitochondrial pathways for potential therapeutic benefits against AD. Thus, a future therapy for AD may focus on novel candidates that enhance optimal mitochondrial integrity and turnover. Bi-oactive food components, known as nutraceuticals, may serve as such agents to combat AD. Uro-lithin A is an intestinal microbe-derived metabolite of a class of polyphenols, ellagitannins (ETs). Urolithin A is known to exert many health benefits. Its antioxidant, …

Fabrication Of Black Silicon Via Metal-Assisted Chemical Etching—A Review, Mohammad Yasir Arafat, Mohammad Aminul Islam, Ahmad W. B. Mahmood, Fairuz Abdullah, Mohammad Nur-E-Alam, Tiong Sieh Kiong, Nowshad Amin

Research outputs 2014 to 2021

The metal-assisted chemical etching (MACE) technique is commonly employed for texturing the wafer surfaces when fabricating black silicon (BSi) solar cells and is considered to be a potential technique to improve the efficiency of traditional Si-based solar cells. This article aims to review the MACE technique along with its mechanism for Ag-, Cu- and Ni-assisted etching. Primarily, several essential aspects of the fabrication of BSi are discussed, including chemical reaction, etching direction, mass transfer, and the overall etching process of the MACE method. Thereafter, three metal catalysts (Ag, Cu, and Ni) are critically analyzed to identify their roles in producing …

Modelling Climatic And Temporal Influences On Boating Traffic With Relevance To Digital Camera Monitoring Of Recreational Fisheries, Ebenezer Afrifa-Yamoah, Stephen M. Taylor, Ute A. Mueller

Research outputs 2014 to 2021

Digital camera monitoring data on recreational boating traffic are often manually interpreted and the reading cost can be expensive. Typically, these data are used along with other periodic survey information and camera data between these surveys may not be read, creating gaps in the time series. We predicted recreational boating traffic during these ‘gap’ periods using historical camera data and covariates to complete the time series data. Predictive models were built in a Bayesian regression modelling framework to determine the daily distribution of recreational boating traffic at two ramps in Western Australia based on climatic variables (temperature, humidity, wind speed, …

Experimental Investigation Of Pressure Drop Performance Of Smooth And Dimpled Single Plate-Fin Heat Exchangers, Kanishk Rauthan, Ferdinando G. Guzzomi, Ana Vafadar, Kevin Hayward, Aakash Hurry

Research outputs 2014 to 2021

Passive heat exchangers (HXs) form an inseparable part of the manufacturing industry as they provide high-efficiency cooling at minimal overhead costs. Along with the aspects of high thermal cooling, it is essential to monitor pressure loss while using plate-fin HXs because pressure loss can introduce additional power costs to a system. In this paper, an experimental study was conducted to look at the effects of dimples on the pressure drop characteristics of single plate-fin heat exchangers. To enable this, different configurations of National Advisory Committee for Aeronautics (NACA) fins with smooth surfaces and 2 mm-diameter dimples, 4 mm-diameter dimples and …

Quantification Of Carbon Cycling In A Large Aquifer Using Reactive Transport Modelling, Konrad Miotliński, Luk J. M. Peeters

Research outputs 2014 to 2021

Continental scale aquifers can store significant amounts of carbon as a result of immense water volumes, substantial concentrations of dissolved inorganic carbon (DIC) and its reactions with a matrix, thus contributing the global carbon storage and cycle. However, concentration of dissolved solutes may vary significantly over distances, which causes interpretative challenges and difficulties in process quantification. This occurs in the Guarani Aquifer System in South America, which is a subject of extensive research due to a significant strategic role in water supply. Dissolved CO2 is expected to dissociate and undergo reactions with aluminosilicate minerals, but it is unknown how much …

A Range Error Reduction Technique For Positioning Applications In Sports, Adnan Waqar, Iftekhar Ahmad, Daryoush Habibi, Quoc V. Phung

Research outputs 2014 to 2021

In recent times, ultra-wideband (UWB)-based positioning systems have become popular in sport performance monitoring. UWB positioning system uses time of arrival to calculate the range data between devices (i.e. anchors, tags), and then use trilateration algorithms to estimate position coordinates. In practical applications, non-line-of-sight transmissions and multipath propagations lead to inaccurate range data and lower positioning accuracy. This paper introduces a range error minimisation algorithm to address this limitation of error in range data in UWB-based positioning system. The proposed solution analyses the range error for each anchor and sequentially reduces this error based on the distance between each anchor …

Atrophy Expansion Rates In Stargardt Disease Using Ultra-Widefield Fundus Autofluorescence, Rachael C. Heath-Jeffery, Jennifer A. Thompson, Johnny Lo, Tina M. Lamey, Terri L. Mclaren, Ian L. Mcallister, David A. Mackey, Ian J. Constable, John N. De Roach, Fred K. Chen

Research outputs 2014 to 2021

Purpose To investigate atrophy expansion rate (ER) using ultra-widefield (UWF) fundus autofluorescence (FAF) in Stargardt disease (STGD1). Design Retrospective, longitudinal study. Participants Patients with biallelic ABCA4 mutations who were evaluated with UWF FAF and Heidelberg 30° × 30° and 55° × 55° FAF imaging. Methods Patients with atrophy secondary to STGD1 were classified into genotype groups: group A, biallelic severe or null-like variants with early-onset disease; group B, 1 intermediate variant in trans with severe or null-like variant; and group C, 1 mild variant in trans with severe or null-like variant or late-onset disease. The boundaries of definitely decreased autofluorescence …

A Secured Message Transmission Protocol For Vehicular Ad Hoc Networks, A. F. M. Suaib Akhter, A. F. M. Shahen Shah, Mohiuddin Ahmed, Nour Moustafa, Unal Çavuşoğlu, Ahmet Zengin

Research outputs 2014 to 2021

Vehicular Ad hoc Networks (VANETs) become a very crucial addition in the Intelligent Transportation System (ITS). It is challenging for a VANET system to provide security services and parallelly maintain high throughput by utilizing limited resources. To overcome these challenges, we propose a blockchain-based Secured Cluster-based MAC (SCB-MAC) protocol. The nearby vehicles heading towards the same direction will form a cluster and each of the clusters has its blockchain to store and distribute the safety messages. The message which contains emergency information and requires Strict Delay Requirement (SDR) for transmission are called safety messages (SM). Cluster Members (CMs) sign SMs …