Digital Commons Network^™

Automated Methods For Estimating Blood Alcohol Concentration Level From Facial Cues, Ensiyeh Keshtkaran

Theses: Doctorates and Masters

This thesis investigates different approaches for detecting alcohol intoxication in drivers by analysing facial video data. Tackling this issue necessitates the creation of a novel dataset to overcome the limitations of existing datasets. The dataset constructed in this study is the first to include RGB video recordings of individual faces at varying levels of alcohol intoxication during simulated driving, featuring 60 participants with BAC levels ranging from 0 to 0.165 g/100ml. The constructed dataset not only supports this thesis, but also offers the broader scientific community a valuable resource for further study and development.

Building on this, this thesis presents …

Investigation Of Under-Frequency Load Shedding Prevention Of Isolated Medium-Sized Power Systems Using Energy Storage, Dilan Indoopa Manamperi

Theses: Doctorates and Masters

Due to the rapid uptake of distributed photovoltaic generation, the visible load to transmission operators in distribution feeders is reducing. Traditional load-shedding schemes are facing challenges due to this low-load situation. The required amount of load reduction cannot be achieved with the same load-shedding scheme as before. In some situations, with reverse power flows, load shedding can further increase the generation reduction. On the other hand, increased Rate of Change of Frequency (RoCoF) due to low inertia can result in false activation of under-frequency load shedding (UFLS) relays. These challenges can cause a serious problem with the power system security. …

Machine Learning For Computer-Aided Diagnostics From Complex Medical Images, Afsah Saleem

Theses: Doctorates and Masters

Machine learning has significantly transformed medical image analysis in the current age of artificial intelligence offering vast potential in improving disease diagnosis and management. Cardiovascular diseases (CVDs) are among the leading cause of global mortality, emphasizing the need for early detection for effective intervention and prevention. Abdominal Aortic Calcification (AAC) is an early indicator and contributor to Atherosclerotic Cardiovascular Diseases (ASCVDs) and is commonly assessed through imaging modalities such as computed tomography (CT), X-rays, and Dual-energy X-ray Absorptiometry (DXA). Among these, lateral spine DXA scans, commonly used for osteoporosis screening, offer a cost-effective and low-radiation opportunity for opportunistic CVD risk …

Enhancing Energy Efficiency In Solar Thermal Systems: The Role Of Hybrid Nanofluids In Sustainable Energy Harvesting And Storage, Seyedehzahra Haeri

Theses: Doctorates and Masters

Global energy demand continues to grow, making the reliance on fossil fuels increasingly unsustainable due to dwindling reserves and environmental impacts. Among these, solar thermal systems have emerged as a practical and environmentally friendly solution, with applications ranging from industrial heating and solar water heating to concentrated solar power (CSP) plants and solar desalination units. Solar-based thermal systems offer a promising alternative, with nanofluids (NFs) emerging as a transformative solution. Engineered by dispersing nanoparticles into base fluids, NFs enhance thermal conductivity, heat absorption, and efficiency. Notably, nanoparticles such as titanium nitride also act as nano-catalysts, improving chemical reactions and reducing …

Modelling The Impacts Of Recreational Catch-And-Release Variability On Fish Stock Dynamics, Brett Crisafulli

Theses: Doctorates and Masters

Recreational fisheries often lack sufficient data for robust stock assessments, and post-release mortality (PRM) of discarded fish, particularly demersal species, poses a significant threat to sustainability. Because demersal fish often experience higher PRM (often due to barotrauma and stress), the substantial global interest in their recreational fisheries (e.g., Australia, Gulf of Mexico, Western Baltic Sea) raises conservation concerns. This study employs three distinct modelling approaches, applied to four reef-dwelling demersal species, to support effective recreational fisheries management by addressing data uncertainty, unintended consequences of management changes, and PRM effects. Specifically, this thesis (1) evaluates variability in average weights of recreationally-caught …

The Rise Of Women In Mining - How To Improve Inclusion And Diversity Through Organisational Programs, Ashley Mcgrath

Theses: Doctorates and Masters

The inclusion and diversity (I&D) of women has become a priority for organisations due to the positive association with business performance and rising expectations of employees and shareholders for fair outcomes for all genders. Improving the I&D of women is also being driven by the evolving Australian legal framework which has heightened the responsibility of organisations regarding psychological safety and the prevention of sexual harassment and sex-based discrimination. Companies operating in male dominated industries in Western Australia (WA) are under particular pressure due to lagging performance in addressing equity issues at a state level. Existing research correlates the I&D of …

Optimal Bag Valve Mask Ventilation Efficacy Of Smart Bag Ventilation Compared To Traditional Adult And Paediatric Bag Valve Ventilation During Cardiopulmonary Resuscitation, Ian Dawson

Theses: Doctorates and Masters

Background: Out-of-Hospital Cardiac Arrest (OHCA) is one of the world’s leading causes of mortality. Survival rates are low, ranging from 3.1–20.4% internationally. The most effective oxygenation method for patients during pre-hospital cardiac arrest is ventilating using a self- inflating Bag-Valve-Mask (BVM). Yet, extensive research has identified a lack of compliance with ventilator guidelines during OHCA cardiopulmonary resuscitation (CPR). As a result, clinicians often ventilate patients too aggressively using the BVM, delivering breaths excessively higher than the International Liaison Committee on Resuscitation (ILCOR) recommended rate of 10 breaths per minute (BPM). Hyperventilation can lead to complications such as aspiration, barotrauma, and …

Digital Passivity-Based Control Of Underactuated Mechanical Systems, Mattia Mattioni, Pablo Borja

School of Engineering, Computing and Mathematics

Most sensors and controllers are discrete-time devices, which may have a detrimental impact on the performance of continuous-time control laws, even leading to unstable behaviors. This paper proposes a sampled-data passivity-based control approach that solves the regulation problem for discrete-time underactuated mechanical systems. Moreover, in contrast to other discrete-time controllers for these systems, the proposed control design method does not require the solution of partial differential equations. To illustrate the approach, we consider three case studies with computational details and simulations.

Prediction Of Compressive Strength Of Fly Ash-Recycled Mortar Based On Grey Wolf Optimizer–Backpropagation Neural Network, Jing Jing Shao, Lin Bin Li, Guang Ji Yin, Xiao Dong Wen, Yu Xiao Zou, Xiao Bao Zuo, Xiao Jian Gao, Shan Shan Cheng

School of Engineering, Computing and Mathematics

The evaluation of the mechanical performance of fly ash-recycled mortar (FARM) is a necessary condition to ensure the efficient utilization of recycled fine aggregates. This article describes the design of nine mix proportions of FARMs with a low water/cement ratio and screens six mix proportions with reasonable flowability. The compressive strengths of FARMs were tested, and the influence of the water/cement ratio (w/c) and age on the compressive strength was analyzed. Meanwhile, a backpropagation neural network (BPNN) model optimized by the grey wolf optimizer (GWO), namely the GWO-BPNN model, was established to predict the compressive strength of FARM. The input …

Developing An Artificial Intelligence Framework For Identifying Fusion Blood-Based Biomarkers In Alzheimer's Disease, Ali H. Al-Nuaimi, Mohammed Kamal Nsaif, Shaymaa Al-Juboori

School of Engineering, Computing and Mathematics

Alzheimer’s Disease (AD) is an irreversible neurological disorder, a major cause of disability among the elderly, with no effective therapeutic options currently available. It is an asymp-tomatic disease in the prodromal stages and begins many years before clinical appearances. Early diagnosis of AD allows patients to obtain appropriate healthcare assistance, accelerating the development of new medications. A biomarker that evaluates the alterations in the brain cells produced by AD in its preliminary periods might be significant for its early identification. Blood-based biomarkers (BBBMs) facilitate the early detection of AD. The BBBMs detection procedure is cost-efficient and minimally invasive. The aim …

Artificial Intelligence Powered System For Epilepsy Detection Using Eeg Biomarkers, Ali H. Al-Nuaimi, Shaymaa Al-Juboori

School of Engineering, Computing and Mathematics

One of the most prevalent neurological disorders is epilepsy. Epileptic seizures can occurrepeatedly in people with the condition for no recognisable reason. The diagnostic methodsdependent on EEG are promising. EEG has uncovered the dynamic functioning of all brain areasthroughout time. Its low cost, non-invasiveness, and simply make it crucial for clinicalevaluations of brain function. Integrating multiple EEG biomarkers as a compound biomarkercould provide a high performance that may accelerate the diagnosis speeds. Artificial intelligencetechniques such as machine learning and deep learning provide a significant result in healthcareapplications. Logistic Regression (LR), Naive Bayes (NB), and Neural Network (NN) wereevaluated using a …

A Data-Driven Approach To Offshore Wind Forecasting In The Celtic Sea, Ajit C Pillai, Peter Jenkin, Ian Ashton, Edward Steele, Marcus Juniper, Jiaxin Chen

School of Engineering, Computing and Mathematics

Accurate weather forecasting is crucial for various industries,including offshore wind, which is vital for global net zeroenergy goals. Machine learning models, trained on historicaldata, offer a new opportunity by replacing traditional physicsbasedequations. These models can learn patterns not alwaysrepresented by physical equations, potentially increasing the accuracyand efficiency of weather forecasting compared to traditionalNumerical Weather Prediction (NWP).This study applies a machine learning framework (MaLCOM)to offshore wind forecasting in the Celtic Sea. It uses anattention-based LSTM recurrent neural network to learn temporalpatterns and a random forest-based spatial nowcasting model,trained on ERA5 data, for spatiotemporal predictions. Windsderived from wave spectra measured by buoys …

Wave Power Extraction From A U-Shaped Oscillating Water Column Consisting Of A Flexible Bottom-Standing Front Wall, Siming Zheng, Haojie Zheng, Simone Michele, Guixun Zhu, Yeaw Chu Lee, Deborah Greaves

School of Engineering, Computing and Mathematics

In this paper, the concept of a U-shaped oscillating water column (UOWC) device consisting of a flexible bottom-standing front wall is proposed. The deflection of the flexible wall could bring benefits for wave power absorption. To evaluate the hydrodynamic performance and predict the wave power absorption of the flexible UOWC, a theoretical model based on the linear potential flow theory and the Galerkin approximation method is developed. For some examined flexible UOWCs, three peaks of the frequency response of the maximum wave power capture efficiency are observed, in which two are related to the resonant frequencies of the oscillating water …

Ecotoxicological Effects Of Sunscreen Derived Organic And Inorganic Uv Filters On Marine Organisms: A Critical Review, Anneliese A. Hodge, Frances E. Hopkins, Mahasweta Saha, Awadhesh N. Jha

School of Biological and Marine Sciences

Sunscreens are topical personal care products that provide protection against the sun's ultraviolet A (UVA) and ultraviolet B (UVB) radiation. Ultraviolet (UV) filters are compounds added to sunscreens to block, absorb, or reflect the sun's UV rays, but are of major emerging concern due to their widespread use and global distribution. They pose a significant risk to marine organisms owing to their chemical properties, including high lipophilicity which increases their bioavailability. The present review identifies and summarises the factors that contribute to UV filter pollution, their sources, pathways, and effects on marine organisms. We identify and evaluate the current knowledge …

Restoration Of River Connectivity Enables Long-Distance Spawning Migrations In A Potamodromous Fish, Dagmara Błońska, Ali Serhan Tarkan, Demetra Andreou, Jonathan D. Bolland, Peter Davies, Jamie R. Dodd, Phillipa Gillingham, Catherine Gutmann Roberts, Fatima Amat-Trigo, Sadi Aksu, Andrew Hindes, O. Jonas Palder, Mark Yeldham, J. Robert Britton

School of Biological and Marine Sciences

Rivers across the world are increasingly fragmented due to anthropogenic barriers, with the restoration of connectivity often using fish passes. Fish passes are, however, usually designed for anadromous species, despite ecologically important non-anadromous species being present in the communities impacted by fragmentation. To assess the outcomes for non-anadromous fishes of the installation of multiple fish passes and weir modifications, the movements of the potamodromous European barbel Barbus barbus were evaluated in the lower River Severn basin, western Britain, which was fragmented by six weirs (two on a tributary, four on the Severn mainstem). Movements of individual fish were measured using …

Surfing Towards Shared Futures - Comparative Insights From Australia's World Surfing Reserves: Part Of The Series: Transformative Ocean Governance In Australia’S World Surfing Reserves - A Community-Centred Perspective, Kizzy Beaumont

School of Biological and Marine Sciences

Executive summaryThis comparative report brings together insights from the Noosa, Gold Coast, and Manly-Freshwater World Surfing Reserves (WSRs), showing how locally led stewardship delivers cultural, environmental, and economic value for coastal communities. Using a Transformative Ocean Governance lens, the analysis synthesises participant perspectives from focus groups and interviews alongside a desk-based review of official materials. Across the three sites there is clear commitment to surf culture, environmental care, and participation, with practical innovations already visible in education, etiquette, and community engagement.The sites follow different but complementary governance paths. Noosa demonstrates how independent stewardship can sit alongside council activity and deliver …

Towards A Map Of The Immune System Manipulation Network By Trypanosoma Cruzi, Juan Cruz Gamba, Ana Rosa Pérez, Carolina Verónica Poncini, Cristina Poveda, Iván Marcipar, Gabriel Cabrera

Faculty, Staff and Students Publications

No abstract provided.

A Hybrid Cloud Data Lake Architecture Supporting The Integration Of Clinical And Genomics Data, Apollo Mcowiti, Heidi Dowst, Fei Zheng, Susan Hilsenbeck, Christopher Amos

Center for Medical Ethics and Health Policy Staff Publications

Objective: Cancer centers must quickly integrate clinical genomics data from different vendors for oncology operations and research. Clinical data warehouse architectures are costly to construct and brittle, and they are not readily amenable to the rapid changes in oncology research. We introduce a cost-effective hybrid cloud Data Lake architecture for storing clinical genomic data from different vendors, aiding both clinical and research workflows.

Methods: We created a Data Lake architecture based on the zone architecture, with four layers: ingestion, storage, transformation, and interaction. The layers are implemented with a hybrid cloud architecture. Rich metadata created from patient and genomic data …

Nurturing Religious Education Using Artificial Intelligence, Matt Gardner

Religious Educator: Perspectives on the Restored Gospel

This essay focuses on helping teachers, parents, and students understand and become familiar with artificial intelligence (AI)—specifically, its capabilities and how it will affect our homes and classrooms. In doing so, teachers, parents, students, and children will learn to use certain gospel-approved principles to most successfully use and operate these new technologies to bless the lives of God’s children.

Full Issue

Religious Educator: Perspectives on the Restored Gospel

No abstract provided.

Do Food Planner Apps Enhance Responsible Food Consumption? The Impact Of Perceptual Antecedents And Moderating Effects On Usage Intention, Rajat Subhra Chatterjee, Irfan Hameed, Ranjan Chaudhuri, Demetris Vrontis, Sumana Chaudhuri, Sheshadri Chatterjee

Plymouth Business School

Purpose: A food planner app helps users to create meal plans and recipes to their preferences, dietary requirements and lifestyle needs. Many food planner apps also could assist with grocery lists, calorie tracking, food waste management and reminders to users. But there is less adoption of such apps. Limited studies examine reasons for non-adaptability, emphasizing the need for more research. This research addresses this gap by observing the effect of pertinent factors such as expectant outcome and openness to change on the extended technology acceptance model. Design/methodology/approach: Drawing on theories and extant literature, a theoretical model was developed. The model …

Stronger Shores: A Natural Capital Asset And Risk Register For The Northeast England Coastline Part Three: Application Of The Natural Capital Asset And Risk Register To Appraise Options And Assess Benefits Within Flood And Coastal Erosion Risk Management. A Report Has Been Compiled By Staff At The Marine Institute, School Of Biological And Marine Science, University Of Plymouth., Matthew Ashley, Helen Agosti, Tom Mullier, Tom Mullier, Riley Bibaud, Sian Rees

School of Biological and Marine Sciences

The Part Three report identifies the role and opportunity for application of the Natural Capital Asset and Risk Register evidence, provided in Reports Part One and Two, in appraisal of Nature-based Solutions (NbS) options within Flood and Coastal Erosion Risk Management (FCERM). Interventions applying NbS aim to increase extent and condition of specific habitat assets (ecosystem assets), therefore, considerable environmental benefits, as well as relevant cross-policy objectives are met when NbS are considered as an option. As such, the linked contribution to ecosystem services and associated benefits to people, and where possible economic value, needs to also be documented when …

Video Analytics And Fourth Amendment Vision, Andrew Guthrie Ferguson

Scholarly Articles in Law Reviews & Journals

What does the Fourth Amendment have to say about video analytics running on citywide camera systems? Video analytics (also known as computer vision) involves hardware and software in cameras that turns video surveillance streams into useful data, identifying, categorizing, matching, and alerting police about objects, people, and incidents. Video analytics can identify objects (e.g., hat, backpack, person, car) and track that person or thing back in time and through the streets using video surveillance footage. For police officers conducting virtual patrols or retrospective investigations, video analytics lets police scan thousands of linked cameras for suspicious behavior or a particular suspect, …

What Is Copywritable In Software?, Charles Duan

Scholarly Articles in Law Reviews & Journals

No abstract provided.

Wavelength Multiplexed Volume Holographic Optical Couplers To Couple Red, Green And Blue Light For Solar Collection, Dipanjan Chakraborty, Rosen Georgiev, Vincent Toal, Izabela Naydenova, Dervil Cody, Suzanne Martin

Research Outputs: 2025-Present

The proposed wavelength multiplexed, volume holographic optical coupler uses total internal reflection to guide incident light of a wavelength from 317nm to 700nm. The diffractive elements are recorded with 457nm (transmission holographic recording) and 532nm (reflection holographic recording) lasers in Bayfol HX 200^TM photopolymer. The novelty of the device is the particular combination of diffractive optical elements designed so that they can be holographically recorded with two different wavelengths without the need for prisms to facilitate the propagation of the recording beam in the recording layer at angles exceeding the internal critical angle. and will couple three primary colours …

Investigating The Anisotropic Effects On Machining Behavior And Performance Of As-Built Selective Laser Melting Processed Ti6al4v Alloy, Surinder Pal, Xavier Velay, Waqas Saleem, Muhammad Faisal Rathore

Research Outputs: 2025-Present

This study examines how the natural anisotropy of as-build Ti6Al4V, fabricated using Selective Laser Melting, affects its machining behavior, specifically focusing on hardness and microstructure behavior. Milling experiments were carried out to understand how the anisotropy material responds to machining and its impact on the final surface finish. Advanced techniques, including FE-SEM, were employed to analyze the microstructure, revealing intricate microstructural details. EDS was used to assess the elemental composition of the materials. Additionally, hardness testing was conducted to evaluate the mechanical properties, highlighting the effects of anisotropic behavior on the alloy’s performance characteristics. The findings underscore the significance of …

Closed Form Solutions Of Bending Bi-Directional Functionally Graded Tapered Beams Using Euler And Timoshenko Theories, Omar K. Omar, Mohammad Alshawabkeh, H. Alkhatib

Research Outputs: 2025-Present

No abstract provided.

Workshop - Supercharging Your Engineering Classes With Ethics!, Shannon Chance

Research Outputs: 2025-Present

Are you ready to energize your students’ learning of engineering ethics? Join us for a high-voltage, interactive workshop where we’ll unlock the power of the Routledge International Handbook of Engineering Ethics Education—an opensource treasure trove of cutting-edge knowledge and active learning strategies!This dynamic workshop is designed for educators who want to infuse their courses with innovative, discipline-specific ethics learning methods. Through gamified exploration, creative brainstorming, and collaborative problem-solving, you’ll walk away with practical strategies to integrate ethics into any engineering course.We’ll kick things off with a dynamic guided tour of the handbook, unveiling its structure and offerings. Then, we’ll divide …

Challenges In Adapting Fibre Optic Sensors For Biomedical Applications, Sahar Karimian, Muhammad Mahmood Ali, Marion Mcafee, Waqas Saleem, Dineshbabu Duraibabu, Sanober Farheen Memon, Elfed Lewis

Research Outputs: 2025-Present

Fibre optic sensors (FOSs) have developed as a transformative technology in healthcare, often offering unparalleled accuracy and sensitivity in monitoring various physiological and biochemical parameters. Their applications range from tracking vital signs to guiding minimally invasive surgeries, enabling advancements in medical diagnostics and treatment. However, the integration of FOSs into biomedical applications faces numerous challenges. This article describes some challenges for adopting FOSs for biomedical purposes, exploring technical and practical obstacles, and examining innovative solutions. Significant challenges include biocompatibility, miniaturization, addressing signal processing complexities, and meeting regulatory standards. By outlining solutions to the stated challenges, it is intended that this …

Numerical Methodologies For The Analysis Of Horizontal-Axis Floating Offshore Wind Turbines (F-Hawts): A State-Of-The-Art Review, Naghmeh Akbari Zadeh, Peter Ryan, David M. Kennedy, Fergal O’Rourke

Research Outputs: 2025-Present

In recent decades, wind turbine installations have become a popular option to meet the world’s growing demand for energy. Both onshore and offshore wind turbines form pivotal components of the electricity sector. Onshore wind energy is now a mature technology, with significant experience gained by wind farm developers and operators over the last couple of decades. However, as a more recent enterprise, the offshore wind industry still requires significantly more development before the technologies and operations reach maturity. To date, floating platforms at sea have been utilised extensively for the oil and gas industry. While a lot of the expertise …