Digital Commons Network^™

Development Of Holographic Optical Elements For Application In Wound Healing Monitoring, Pamela Stoeva

Doctoral

Growing global healthcare challenges, including the increasing prevalence of chronic wounds, necessitate the development of cost-effective, reusable, and readily accessible sensors for real-time wound monitoring. Such devices could extend basic healthcare to remote areas and support long-term space missions by facilitating on-the-spot wound assessment. Sensors that utilise Holographic Optical Elements (HOEs) are promising candidates due to their diverse sensing capabilities, advantageous physical properties (e.g., lightweight and flexibility), and suitability for mass manufacturing. The fundamental biochemical processes associated with wound healing are typically related to parameters such as oxygen levels, pH, temperature, and lactate concentration. Realtime quantification of these parameters enables …

Highly Sensitive Diffractive Optical Structures For Detection Of Volatile Organic Compounds, Faolan Radford Mcgovern

Doctoral

From aerospace to agriculture, sensors play a fundamental role in many aspects of modern life. Sensors form an integral part of the complex systems and devices required for the continued functioning and development of services and industries across society. The use of sensors is paramount in areas affecting human health, one such area being the monitoring of indoor air quality, in particular the detection of volatile organic compounds (VOCs). Human contact with VOCs has been associated with many health complications, including skin and eye irritation, cardiovascular damage, and cancers. Optical, electrical, gravimetric, and chemical sensors have been developed for VOC …

Plasmonic Down-Shifting Layers For Cylindrical Solar Concentrators, Kenneth Coldrick

Doctoral

The efficiency of photovoltaics (PVs) and photo-thermal (PT) systems is hindered by spectral mismatches and low thermal conductivity. A promising solution to address these issues can be the use of luminescent down-shifting (LDS) layers. This involves the incorporation of luminophores into solid or liquid layers that will act as spectral beam splitters (SBSs). In solid polymers, they form luminescent solar concentrators (LSCs), while in liquids, they act as working fluids and SBS for hybrid photovoltaic-photothermal (PVT) systems. This thesis will examine the energy conversion in both solid and liquid configurations through experimental, simulation, and economic analyses. An open-source model that …

Information Management Plan – Delivery Team, Robert Moore

Tools

Information Management Plan – Delivery Team is a support in a spreadsheet format that contains a number of delivery team (tenderers) templates that ISO 19650 recommend the delivery team (tenderers) should consider when responding to a tender to deliver a project for an Asset.

Build Digital has created Industry templates to allow organisations work in accordance with ISO 19650. These templates start to address the information requirements in the ISO 19650 series of standards. The templates are also in accordance with CEN-TR17654-2021” Guideline for the implementation of Exchange Information Requirements (EIR) and BIM Execution Plans (BEP) on European level based …

The Individual, Collective, And Cyclical Transformational Learning Created By Food Tourism Education, Ziene Mottiar, Mairtin Macconiomaire

European Journal of Food Drink and Society

Research on food tourism education is rare, despite a significant growth in food tourism literature in recent decades. A food tourism module was developed for a new MA Gastronomy and Food Studies at the Technological University Dublin, Ireland in 2017. This article, written by the two module creators and lecturers, analyses reflections of two cohorts of mature post-graduate students (n.14). We explore the transformational role (if any) that this module had. Then, using purposive sampling, employ semi-structured interviews with five graduates who had a collective transformational learning experience – setting up the food tourism network Wicklow Naturally – to explore …

Comparing Multivalent Cross-Linked Sodium Alginate/ Montmorillonite Beads Containing Curcumin Or Cayenne Pepper As Drug Carriers And Their Antimicrobial Resistance, Shionainn Traynor, Shubham Sharma

SURE Journal: Science Undergraduate Research Experience Journal

The aim of the following work was to investigate and compare curcumin and cayenne pepper in microbeads composed of sodium alginate (SA) crosslinked with montmorillonite (MMT) to act as drug carriers and their antimicrobial resistance. The microbeads were prepared through ion-exchange in multivalent solutions of CaCl₂, MgCl₂ and AlCl₃. The microbeads were characterized by Scanning Electron Microscopy (SEM), Energy Dispersive X-ray analysis (EDX) and the time required for intercalation of curcumin and cayenne pepper with MMT. Simulated intestinal fluid (pH 7.3) and gastric fluid (pH 1.2) at 37°C were used for comparison in swelling studies. …

Mathematical Modelling Of Disease Outbreak, Favour Christian, Matthew Molloy

SURE Journal: Science Undergraduate Research Experience Journal

Establishing a model framework for more research necessitates a thorough understanding of the causes, distribution, prevalence, and evolution of infectious illnesses. The main mathematical concept used in this modelling simulation is ordinary differential equations (ODEs). The purpose of this study was to investigate the significance of the many criteria linked to a zombie virus spread. The zombie framework provides an accessible and relatively simple representation of the nature of infectious disease spread, allowing for tractable assumptions and the development of more complex situations.

The models are designed around a zombie outbreak in which the zombie virus is spread through a …

Total Organic Carbon Analysis Of Residual Contaminants In Bioreactor Equipment: A Cleaning Verification Study Using Surface Swabbing, Ciara E. Fitzpatrick, James J. Roche

SURE Journal: Science Undergraduate Research Experience Journal

Contamination is a major issue in the biopharmaceutical industry. Bioreactors must be meticulously cleaned to remove residual impurities and avoid cross-contamination. Cleaning validation is necessary to ensure residual contaminants are reduced to the lowest acceptable limits. Bacterial cells represent the paramount challenge in manufacturing equipment cleaning because they are composed of insoluble organic contaminants. Total organic carbon (TOC) analysis is a fast, highly sensitive, and inexpensive analytical technique commonly used to evaluate the approximate level of organic contamination.

A study was conducted to assess the effectiveness of cleaning procedures in the removal of contaminants from bioreactor equipment by measuring the …

How Will Ai Impact Knowledge Sharing Within Construction Clustering? Bringing Back The Conversation On Social Contagion Within Construction Clusters, Oluwasegun O. Seriki, Mark Mulville, Ruairi Hayden

Conference Papers

Construction clusters and innovation systems play a crucial role in enhancing competitiveness and fostering sustainable development in the construction sector. These clusters facilitate knowledge sharing, interactive learning, and collaborative innovation among firms, institutions, and other stakeholders. The success of construction clusters depends on numerous factors, including firm size, economic climate, and attitudes towards innovation. While some clusters transform into innovation systems by becoming tacit-knowledge intensive, there is not much data or investigation into how they may adapt to changing demands spurred by advances in artificial intelligence (AI). There is some preliminary research highlighting the lack of dispersed innovation networks within …

An Evaluation Of Features Extracted From Facial Images In The Context Of Accurate Age Estimation⋆, Malik Awais Khan, Aurelia Power, Peter Corcoran, Christina Thorpe

Conference papers

Age estimation by face image recognition can be used in numerous ways with regression models to manage access control, improve security, and guarantee the protection of children online. The approaches used for predicting age—including data selection, cleaning techniques, feature extraction, algorithm choice, and hyperparameter tuning—often struggles with generalization. Furthermore, a lot of methods neglect to specifically address how extracted face features might be used for prediction. To address the lack of racial diversity we acquired a dataset consisting of different races from literature. We also examined the ability of local, global and hybrid facial features to predict ages. Two variants …

Identifying Subject Bias In Wifi-Based Human Activity Recognition Evaluation Methods, Amany Elkelany, Robert J. Ross, Susan Mckeever

Conference papers

WiFi-based Human Activity Recognition (HAR) has emerged as a promising approach for monitoring and analysing human activities in a non-intrusive manner, leveraging WiFi signals for activity classification. Despite advancements, existing WiFi-based HAR research lacks consideration of subject (human) bias. This results in learning models performing well on individuals used in the training samples but failing to generalise to new/unseen subjects, in contrast to known good practices in machine learning. In this paper, we address this oversight directly by systematically examining the evaluation methodology for the WiFi-based HAR context. Specifically, we investigate the impact of Leave-One-Subject-Out Cross-Validation (LOSOCV) in a hybrid …

On The Benefits Of Directness In Virtual Characters For Motivational Interviews, Michael O'Mahony, Cathy Ennis, Robert Ross

Conference papers

Understanding the factors influencing successful engagement with Embodied Conversational Agents (ECAs) remains a significant challenge. This understanding could be used to personalise agents to users to improve interactions. Some studies have shown that simulating personalities in healthcare agents can improve effectiveness and engagement. However, it is not yet well understood how variations of agent personality can be leveraged to improve user engagement with Motivational Interviewing (MI) ECAs. Specifically how the balance between agent warmth and directness can be controlled in an MI agent to improve likeability and engagement. We conducted an online Wizard-of-Oz (WoZ) mediated study of two variants of …

Winter Solstice Phenomenon At Newgrange: Research Report 2024, Frank Prendergast

Articles

This report, commissioned by the National Monuments Service presents a comprehensive analysis of the high-resolution photographic and video recordings of the solar illumination inside the burial chamber at Newgrange passage tomb, located within the UNESCO World Heritage Site of Brú na Bóinne – Archaeological Ensemble of the Bend of the Boyne.

The Routledge International Handbook Of Engineering Ethics Education, Shannon Chance, Tom Børsen, Diana Adela Martin, Roland Tormey, Thomas Taro Lennerfors, Gunter Bombaerts

Research Outputs: 2025-Present

Responding to the need for a timely and authoritative volume dedicated to this burgeoning and expansive area of research, this handbook will provide readers with a map of themes, topics, and arguments in the field of engineering ethics education (EEE). Featuring critical discussion, research collaboration, and a team of international contributors of globally recognized standing, this volume comprises six key sections which elaborate on the foundations of EEE, teaching methods, accreditation and assessment, and interdisciplinary contributions. Over 100 researchers of EEE from around the globe consider the field from the perspectives of teaching, research, philosophy, and administration. The chapters cover …

Pilgrimage And Tourism Marketing Concepts, Prospects, And Challenges In Two Developing Countries: Bangladesh And Ghana, Md. Javed Kawsar, Michael Evans, Rashed Khan

International Journal of Religious Tourism and Pilgrimage

This contextual paper analyses the significance of pilgrimage and tourism marketing concepts, prospects, and challenges in two developing countries, Ghana in the West of Africa, and Bangladesh in the South of Asia. The focus of this study is to assess the present marketing and promotion of tourism in the two countries which are different in population size, economy, and tourism contribution towards each country’s GDP.

Within the context of nature-based tourism initiatives in Bangladesh, it is imperative to measure future prospects of tourism marketing ventures related to pilgrimage. The development of marketing for tourism can be helpful for delivering stability …

Connecting Lighthouses To Spiritual Tourism: The Case Of The Hellenic Lighthouse Network, Polyxeni Moira, Paraskevi Kakaroucha

International Journal of Religious Tourism and Pilgrimage

Lighthouses operate as carriers of cultural value and encapsulate universal connotations. They are harmoniously integrated in unspoilt landscapes, some of which are considered dystopian. Their delicate albeit resilient structure, settled within dynamic geophysical fields, elicits philosophical quests and metaphysical concerns. Lighthouses are connected to narratives of heroism, solitude, self-efficacy and lunacy, with altruistic keepers and divine or supernatural entities starring in plenty of them. Moreover, lighthouses have been associated with religious facilities and rituals for many centuries. Therefore, they attract people pursuing transformative experiences away from mass tourism locations and could unsurprisingly be included in alternative spiritual tourism itineraries.

Greek …

Grosafe: In-Classroom Technology-Enabled Solution To Build Societal Resilience Against Child Grooming, Christina Thorpe, Fiona Jennings

Conference Papers

GroSafe is an innovative initiative developed by TU Dublin in partnership with the ISPCC to address the critical issue of child grooming. By leveraging cutting-edge digital technologies, GroSafe focuses on educating children, caregivers, and educators to recognise, report, and prevent grooming behaviours. It integrates a 3D educational gaming environment with adaptive learning tools, enabling safe and effective engagement for children, including those with diverse learning needs. Designed to align with Ireland’s SPHE curriculum, GroSafe empowers schools and communities to tackle grooming through early intervention and resilience building.

Understanding Immigrant Entrepreneurship In Ireland, Thomas M. Cooney, Martina Brophy, Toluwani Akaehomen

Reports

Understanding immigrant entrepreneurship in Ireland involves examining the diverse contributions that entrepreneurs from various backgrounds bring to the Irish economy. Immigrants from EU countries, Asia, Africa, the Americas and elsewhere come with different entrepreneurial traditions and experiences, enhancing the Irish business landscape with new ideas and practices. These entrepreneurs have a significant economic impact, introducing new products and services, creating jobs, and contributing to economic diversity and resilience. However, they often face distinctive challenges such as cultural and language barriers, difficulties in accessing finance, and navigating local regulations. The aim of this report is is to enhance understanding of immigrant …

Automatic Speech Recognition Models For Pathological Speech: Challenges And Insights, Kesego Mokgosi, Cathy Ennis, Robert Ross

Conference papers

Conversational avatars provide innovative platforms for enhancing therapist-patient interactions in speech therapy by offering real-time feedback. However, the performance of Automatic Speech Recognition (ASR) models on disordered speech, such as dysarthria and stuttering, remains underexplored. The effectiveness of these systems hinges on the accuracy and processing speed of ASR models when transcribing pathological speech, particularly in real-time scenarios. This study evaluates several pre-trained ASR models, including Whisper-large- v3-turbo, Canary, DistilWhisper, and NVIDIA’s stt-en-fastconformer-ctc-large across three datasets: Common Voice (standard speech), TORGO (dysarthric speech), and UCLASS (stuttered speech). We assess the models using Word Error Rate (WER), Real-Time Factor (RTF), and …

Exploring The Impact Of Player Traits On The Leaderboard Experience In A Digital Maths Game, André Almo, Mariana Rocha, Attracta Brennan, Pierpaolo Dondio

Research Outputs: 2025-Present

Digital Game-Based Learning (DGBL) uses digital games to enhance engagement and learning, but its efficacy is linked to game features. Leaderboards are a commonly used feature to increase motivation through competition, improving engagement and learning outcomes. However, infinite leaderboards, displaying all players in an ordered ranking based on their scores, can demotivate players depending on their performance and characteristics. This study investigated primary school students’ experience with an infinite leaderboard during a digital maths game intervention. 1389 Irish students participated in a 6-week programme with the game ‘Seven Spells,’ which featured an infinite leaderboard. Player traits and opinions about the …

Improving The Performance Of The Modal Holographic Wavefront Sensor By Adapting To Prevailing Turbulence Conditions: Experimental Verification, Andreas Zepp, Emma Branigan, Kevin Murphy, Szymon Gladysz

Conference Papers

The modal holographic wavefront sensor offers a promising alternative to established wavefront sensing techniques. Since the strengths of individual aberration modes are directly measured, there is no need for time-consuming signal processing and wavefront reconstruction. Bandwidths up to three orders of magnitude higher than those of commercial wavefront sensors can in principle be achieved. However, in practice the accuracy of measurements is compromised by intermodal crosstalk, which arises when the wavefront exhibits additional aberrations to those encoded in the modal wavefront sensor. This issue is particularly prominent when measuring wavefronts disturbed by atmospheric turbulence. To mitigate the effects of intermodal …

Sustainable Mobility: Machine Learning-Driven Deployment Of Ev Charging Points In Dublin, Ruairí De Fréin, Alexander Mutiso Mutua Mr

Articles

Electric vehicle (EV) drivers in urban areas face range anxiety due to the fear of running out of charge without timely access to charging points (CPs). The lack of sufficient numbers of CPs has hindered EV adoption and negatively impacted the progress of sustainable mobility. We propose a CP distribution algorithm that is machine learning-based and leverages population density, points of interest (POIs), and the most used roads as input parameters to determine the best locations for deploying CPs. The objects of the following research are as follows: (1) to allocate weights to the three parameters in a $6$ km …

Reducing Carbon Footprint In Ai: A Framework For Sustainable Training Of Large Language Models, Sunbal Iftikhar, Steven Davy

Conference papers

In the world of artificial intelligence (AI), large language models (LLMs) are leading the way, transforming how people understand and use language. These models have significantly impacted various domains, from natural language processing (NLP) to content generation, sparking a wave of innovation and exploration. However, this rapid progress brings to light the environmental implications of LLMs, particularly the significant energy consumption and carbon emissions during their training and operational phases. This requires a shift towards more energy-efficient practices in training and deploying LLMs, balancing AI innovation with environmental responsibility. This paper emphasizes the need for improving the energy efficiency of …

Accreditation Rendezvous: A Confluence Of Tradition And Progress, Brian Murphy

Journal of Franco-Irish Studies

University accreditation serves as a crucial nexus between tradition and progress, reflecting the evolution of educational standards across time and geography. This article delves into the historical foundations of accreditation, tracing its origins from medieval Europe to contemporary standards. While exploring the global landscape, the article predominantly focuses on contemporary accreditation developments in Ireland, managed by Quality and Qualifications Ireland (QQI). Amidst the digital age's challenges, including the proliferation of unaccredited online courses, Ireland's commitment to rigorous accreditation standards stands out. Innovative approaches such as micro-credentials and Recognition of Prior Learning (RPL) are emerging, offering flexible learning options and recognising …

Characterization Of The Ubiquitin‐Modified Proteome Of Recombinant Chinese Hamster Ovary Cells In Response To Endoplasmic Reticulum Stress, Karuppuchamy Selvaprakash, Christiana‐Kondylo Sideri, Michael Henry, Esen Efeoglu, David Ryan, Paula Meleady

Research Outputs: 2025-Present

Chinese hamster ovary (CHO) cells remain the most widely used host cell line for biotherapeutics production. Despite their widespread use, understanding endoplasmic reticulum (ER) stress conditions in recombinant protein production remains limited, often creating bottlenecks preventing improved production titers and product quality. Ubiquitination not only targets substrates (e.g., misfolded proteins) for proteasome degradation but also has important regulatory control functions including cell cycle regulation, translation, apoptosis, autophagy, etc. and hence is likely to be central to understanding and controlling the productivity of recombinant biotherapeutics. This study aimed to uncover differentially expressed ubiquitinated proteins following artificial induction of ER-stress in recombinant …

Building Services Engineering November/December 2024

Building Services Engineering

No abstract provided.

Interpreting Black-Box Time Series Classifiers Using Parameterised Event Primitives, Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio

Conference papers

Amidst the remarkable performance of deep learning models in time series classification, there is a pressing demand for methods that unveil their prediction rationale. Existing feature importance techniques often neglect the temporal nature of time series data, focusing solely on segment importance. Addressing this gap, this paper introduces a local model-agnostic method akin to LIME, which generates neighbouring samples by randomly perturbing segments of the original instance. Subsequently, weights are computed for each neighbouring instance based on its distance from the original, elucidating its influence. Parameterised event primitives (PEPs) are then extracted from these perturbed samples, encompassing increasing and decreasing …

Towards An Iot-Enabled Digital Earth For Sdgs: The Data Quality Challenge, Msb Syed, Paula Kelly, Paul Stacey, Damon Berry

Articles

Digital Earth (DE), a technology offering real-time visualisation of Earth's processes, has shown promising results in aiding decision-making for a sustainable world, raising awareness about individual impacts on our planet, and supporting the United Nations Sustainable Development Goals (UN SDGs) agenda. However, both DE and SDGs face a common obstacle: Data Quality (DQ). This review investigates the challenge of DQ in the context of DE for SDGs and explores how IoT can address this challenge and extend the reach of DE to support SDGs. Furthermore, the study discusses three core aspects; first, the potential of IoT as a data source …

Three-Dimensional Printing Limitations Of Polymers Reinforced With Continuous Stainless Steel Fibres And Curvature Stiffness, Alison J. Clarke, Andrew N. Dickson, Vladimir Milosavljevic, Denis P. Dowling

Articles

This study investigates the printability limitations of 3D-printed continuous 316L stainless steel fibre-reinforced polymer composites obtained using the Materials Extrusion (MEX) technique. The objective was to better understand the geometric printing limitations of composites fabricated using continuous steel fibres, based on a combination of bending stiffness testing and piezoresistive property studies. The 0.5 mm composite filaments used in this study were obtained by co-extruding polylactic acid (PLA), with a 316 L stainless steel fibre (SSF) bundle. The composite printability limitations were evaluated by the printing of a series of ’teardrop’ shaped geometries with angles in the range from 5◦ to …

Wavefront Sensor Based On Angle Selectivity Of An Optical Filter, Andreas Zepp, Emma Branigan, Julien Garnier, Kevin Murphy, Raphael Bellossi, Karin Stein, Szymon Gladysz

Conference Papers

The effectiveness of free-space laser communications is limited due to wavefront deformations caused by atmospheric optical turbulence. To determine these deformations, we propose a wavefront sensor that utilizes the angular selectivity of an optical transmission filter to measure the first derivative of the wavefront. The transmission filter converts the gradients of the incident wavefront into an intensity distribution. For each direction (x and y) this distribution is captured twice, with different angles between filter and optical axis for each measurement. The contrast of both measurements (calculated for each pixel of the used detector) and the local gradients of the wavefront …