Digital Commons Network^™

Numerical And Experimental Investigation Of The Dynamic Behavior Of Vibrating Niti Guidewire, Graham Gavin

Conference Papers

Minimally invasive interventions often utilise slender wires to access and navigate to target sites. These guidewires act as rails, facilitating access for other therapies. In endovascular procedures, the guidewires facilitate angioplasty balloons, stenting and other dilation procedures. Due to their small profile and flexibility, endovascular guidewires have limited ability to transfer forces to their tip and as a result cannot penetrate hard calcified blockages, commonly referred to as chronic total occlusions (CTOs) [1-2]. One method proposed to overcome this limitation is the application of vibrations to the wire. The vibrations are transmitted along the length of the wire to the …

Evaluation Of The Crossing Forces Of A Vibrating Guidewire In Contact With Model Calcified Materials, A. Rezaei, Graham Gavin, S. Raut

Conference Papers

Peripheral arterial disease (PAD) affects millions globally, with over 21 million cases reported in the U.S. in 2020. It occurs when leg arteries become narrowed or blocked, leading to complications like critical limb ischemia, where blood flow is severely restricted. Standard treatments, such as bypass surgery and endovascular procedures, aim to restore blood flow. However, advanced chronic total occlusions with calcified plaques, often prevent flexible guidewires crossing into the true lumen of the distal vessel, accounting for approximately 80% of procedural failure. The use of high-frequency (20- 50 kHz) mechanical vibrations (0-50 μm) delivered to the distal tip of specialist …

Securing Iac:Comparing Checkov, Terrascan, And Tfsec On Aws And Azure, Maliha Binte Ruhul Amin, David White

Academic Poster Collection

Securing IaC:Comparing Checkov, Terrascan, and Tfsec on AWS and Azure

Comparison Of Kafka Operators: Strimzi Vs Koperator Vs Confluent: A Comprehensive Industry Analysis, Ankit Anthony, Gary Clynch

Academic Poster Collection

Comparison of Kafka Operators: Strimzi vs Koperator vs Confluent: A Comprehensive Industry Analysis

Analysis Of Impact Of Configuration Choice Upon Azure Service Bus Performance, Brian Skehan, Mary Rose Donnelly

Academic Poster Collection

Analysis of impact of configuration choice upon Azure Service Bus performance.

Comparative Analysis Of Mysql And Mongodb In A High-Concurrency System, Gabriel Solares, Cormac Keogh

Academic Poster Collection

Comparative Analysis of MySQL and MongoDB in a High-Concurrency System

Analysis Of Functional Programming Languages For Use In Serverless Lambda Functions On Aws Platform, William Spain, Gary Clynch

Academic Poster Collection

Analysis of functional programming languages for use in serverless lambda functions on AWS platform

A Comparison Of Terraform And Bicep Quality Attributes, Colm O'Hara, Kevin Bayliss

Academic Poster Collection

A Comparison of Terraform and BICEP Quality Attributes

Comparing Kubernetes And Nomad For Hosting .Net Legacy Workloads In Azure, Luke Osbourne, Omar Portillo

Academic Poster Collection

Comparing Kubernetes and Nomad for hosting .NET legacy workloads in Azure

Evaluating Kubernetes Security Mechanisms For Dos Prevention: A Comparative Analysis Of Multi-Layer Protection Strategies, Sergej Dikun, Omar Portillo

Academic Poster Collection

Evaluating Kubernetes Security Mechanisms for DOS Prevention: A Comparative Analysis of Multi-layer Protection Strategies

Improving Iac Script Quality: Evaluating Static Analysis Tools And Establishing Best Practices, Isha Rai, Kevin Bayliss

Academic Poster Collection

Improving IaC Script Quality: Evaluating Static Analysis Tools and Establishing Best Practices

Comparative Cost And Capacity Analysis Of Managed Service And Non-Managed Service Api Gateway Architectures On Leading Cloud Platforms, George Brown, Cormac Keogh

Academic Poster Collection

Comparative Cost and Capacity Analysis of Managed Service and Non-Managed Service API Gateway Architectures on Leading Cloud Platforms

The Irish Food Manufacturing Industry’S Preparedness For Nis2 Cybersecurity, Niall Mcgowan, Mary Rose Donnelly

Academic Poster Collection

The Irish Food Manufacturing Industry’s Preparedness for NIS2 Cybersecurity

Comparison Of Asynchronous Architectural Patterns On Aws & Gcp Using Terraform, Alan Mcgee, Mary Rose Donnelly

Academic Poster Collection

Comparison of Asynchronous Architectural Patterns on AWS & GCP Using Terraform

Application Of Positive Matrix Factorization For Source Identification And Bioaccumulation Modelling In Urban Soil–Plant Systems, Volodymyr Laptiev, Michelle Giltrap, Furong Tian, Nataliia Nataliia Ryzhenko

SAML-25 Workshop on Statistical and Machine Learning

Understanding the dynamics of heavy metal accumulation in soil–plant systems is essential for addressing urban environmental risks, particularly in post-industrial and post-conflict settings. This study presents a novel application of Positive Matrix Factorization (PMF) as a core statistical tool for identifying pollution sources and modelling the transfer of trace metals in the urban environment of Dnipro, Ukraine. The PMF model was applied to a dataset combining concentrations of Cr, Cu, Zn, Pb, As, Cd, Hg, and particulate matter (PM) in air. Results were further integrated with bioaccumulation and translocation indices calculated for two indicator species—Ambrosia artemisiifolia L. and Erigeron canadensis …

Disability, Child Protection And The Internet: The Socio-Cultural Construction Of Risk, Susan Flynn, Rose Doolan Maher, Julie Byrne

Irish Journal of Applied Social Studies

Today, children and young people are foisted into precarious social conditions defined by the rapid encroachment of virtual media into the intricacies of contemporary life. For children with disability, technological proficiency and the judicious use of virtual platforms may open new horizons for social inclusion and belongingness. Yet, reformulations of child safeguarding practice are prompted by novel and sophisticated threats to child safety in the digital era. In this paper,a scoping review of published literature, utilising the PAGER framework (Bardbury- Jones et al 2022), provides a basis to elaborate upon child protection risks grounded in internet use by children and …

Examining Terraform And Bicep: A Comparative Analysis Of Infrastructure As Code Tools For Provisioning Azure Environments, Richard Coffey, Kevin Bayliss

Academic Poster Collection

Examining Terraform and Bicep: A Comparative Analysis of Infrastructure as Code Tools for Provisioning Azure Environments

The Business-Day Cloud: A Hybrid Kubernetes And Serverless Solution For Sustainable Scaling With Predictable Load Patterns, Brendan Burnside, David White

Academic Poster Collection

The Business-Day Cloud: A Hybrid Kubernetes and Serverless solution for Sustainable Scaling with Predictable Load Patterns

Performance Evaluation Of Zabbix And Azure Monitor In Hybrid It Infrastructure, Ivan Godoy, Cormac Keogh

Academic Poster Collection

Performance Evaluation of Zabbix and Azure Monitor in Hybrid IT Infrastructure

Education And Industry: The Balancing Act, Roy Vincent Byrne, Seamus Harrington

Other resources

Quantity Surveying students are required to study a vast spectrum of modules during their programme of study. Perhaps one of the most important taught modules on a Quantity Surveying programme and a core professional competency relates to building measurement. Many early stage quantity surveying students are introduced to building measurement via the concept of manual take-off which offers students a good grounding in the basic skills and good practices required to successfully measure a building project. However, manual measurement ultimately is no longer used in practice in any meaningful capacity and teaching it is a time-consuming process. The research explores …

Nobocap: Unlocking Mdr/Ivdr Regulations For Innovators In Europe, Graham Gavin, Claire Brougham

Conference Papers

The NoBoCap project (nobocap.eu) is aimed at addressing some of the challenges encountered by both SMEs and Notified Bodies across the EU. It is a multi-organizational consortium including universities, a Notified Body, and Bio-health and Innovation Hubs and Clusters. The NoBoCap project has several work packages focussed on:• Design and delivery of funded short-term courses.• Creating a dedicated NB job board.• Design and delivery of funded university accredited modules.• Design and development of e-tools to support manufacturers.• Develop a community platform to act as a voice for start-ups and SMEs

Fairness And Data Quality Assessment Of Urban Air Quality Monitoring Datasets: Perspective On Insights From F-Uji Evaluation, M. S.B. Syed, Paula Kelly, Paul Stacey, Damon Berry

Research Outputs: 2025-Present

Advancements in information technology have supported the open availability of environmental monitoring datasets to aid global initiatives such as the United Nations Sustainable Development Goals (UN SDGs). Despite these efforts, challenges concerning data quality and adherence to FAIR (Findable, Accessible, Interoperable, Reusable) principles continue to restrict the effective reuse of such datasets, particularly for secondary applications. This study uses the F-UJI assessment tool and a set of eight established DQ dimensions to evaluate the FAIRness and Data Quality (DQ) of four publicly available urban air quality monitoring datasets from international agencies. Each dataset was assessed against 17 FAIR metrics and …

Techniques & Technologies To Support Sustainable Education In The Academic Sphere: Pedagogy 5.0, Ivaylo Peev, Todor Todorov, Lucía Morales, Lia Pop

Books

The Second book of reports and papers is a result of the collaborative work of the European Common Laboratory for Pedagogical Action-Research and Student-Centred Learning (ELaRA), guided by Technological Education for Smart Development, Sustainability and Transdisciplinarity (TESST to Guide the European Research Institute), members, and would not have been possible without the kind support provided by the European University of Technology.The co-organisers' team from the Technical University of Sofia (Bulgaria), Technological University Dublin (Ireland), the Technical University of Cluj-Napoca (Romania) and the United Nations Institute for Training and Research (UNITAR), represented by book editors – Dr Ivaylo Peev, Todor Todorov, …

Multi-Objective Deep Reinforcement Learning For Dynamic Algorithm Selection In Open Ran, Saish Urumkar, Byrav Ramamurthy, Sachin Sharma

Conference papers

Open Radio Access Networks (Open RAN) provide flexible, modular multi-vendor interoperability. Growing mobile data demand requires balancing network performance with power efficiency. Mobile operators need intelligent resource management to achieve Key Performance Indicator (KPI) targets while maintaining operational efficiency. This paper proposes a solution using a multi-objective deep reinforcement learning (MODRL) model deployed on the Open RAN Intelligent Controller (RIC). Three customizable operator profiles (Power Saving, Balanced, and Performance) are used which define specific priority ratios between performance and power saving objectives.

To evaluate, individual algorithms (CPU scheduling and UE connection state switching) are implemented in Open RAN, achieving 5–20%CPU …

Pac-Oran: Power Saving Cpu Scheduling Approach For Scalable Mobile Ues In Open Ran, Saish Urumkar, Byrav Ramamurthy, Somayeh Mohammady, Sachin Sharma

Conference papers

Open RAN is a next-generation wireless network technology that promotes flexibility, cost efficiency, and interoperability through disaggregation and open interfaces. Energy efficiency remains a key challenge, especially in scalable deployments with many connected User Equipments (UEs), where dynamic power management at the gNodeB is critical. In this paper PAC-ORAN (Power-saving Adaptive CPU Scheduling for Open RAN) is proposed which is an advanced CPU scheduling algorithm evaluated with a large number of connected UEs to gNodeb. PAC-ORAN includes an advanced method using moving average adaptive threshold selection and dynamically adjusting CPU core states and frequency tuning based on real-time CPU metrics. …

Sustainable Enzymatic Extraction Of High-Purity Chitin From Button Mushroom (Agaricus Bisporus) Off-Production Waste: Influence Of Alkaline Pre-Treatment On Physicochemical Properties, Buliyaminu A. Alimi, Shivani Pathania, Jude Wilson, Brendan Duffy, Jesus Maria Frias

Articles

This study investigated chitin extraction from the stalks and atypical mushrooms, the often-produced waste in the mushroom production process, using a simultaneous application of protease and glucanase with or without an alkaline pretreatment stage. A commercial chitin, chemically extracted from A. bisporus was used as the control. The purity of extracted chitin (98.92–99.36 %) was slightly lower than commercial chitin (99.80 %), but with comparable physicochemical properties (p < 0.05). All enzymatically extracted chitin in this study exhibited an agglomerated, microfibrillar and irregular structure, while the control showed standalone granules with weathering and cracks on the surfaces. The XRD and FTIR spectra indicated that the extracted chitin and the control belong to the α-allotrope group. The degree of acetylation was higher in the extracted chitin (76.97–78.22 %) than in the control (75.05 %). The highest molecular weight obtained for the extracted chitin was 4.53 × 102 KDa (W0548). The study demonstrated the possibility of producing pure, high molecular weight chitin from the waste produced during the commercial production of button mushrooms, using a potentially more sustainable approach than the traditional one. This enzymatic approach reduces chemical waste, as shown by the excellent results obtained for samples without the pre-treatment stage, and improves environmental safety compared to traditional methods.

Multi-Level Explainability In Radiomic-Based Classification Of Multiple Sclerosis And Ischemic Lesions, Nighat Bibi, Kathleen M. Curran, Ronan P. Killeen, Jane Courtney

Research Outputs: 2025-Present

Differentiating multiple sclerosis (MS) from ischemic stroke lesions on MRI remains a clinical challenge due to their similar appearances as white matter hyperintensities. We propose a radiomics-based machine learning framework that integrates multi-level explainable AI (XAI) techniques to support transparent and clinically meaningful lesion classification. Radiomic features are extracted from standardized MRI scans and used to train multiple classifiers, with Random Forest achieving the best performance (accuracy: 91.24%, F1: 86.54%). The framework incorporates four complementary explanation layers: global insights using SHAP, local interpretability via LIME, counterfactual reasoning with DiCE, and clinical narrative generation using GPT-based language models. This layered approach …

A Post-Normal Environment-Centered Approach To Engineering Ethics Education, T Børsen, Shannon Chance, G Meskens

Research Outputs: 2025-Present

This chapter probes engineering responses to contemporary socio-ecological challenges – like climate change and loss of biodiversity – and advocates for a new, post-normal engineering (PNE) paradigm. The chapter promotes cultivating, via reflection and dialogue, a nuanced ethical understanding for grappling with urgent socio-ecological problems, underscoring the need for a diverse palette of ethical frameworks for current and future engineers. The proposed PNE paradigm rejects today's conventional engineering practices and extractive cradle-to-grave model, prioritizing global responsibility and advocating for reflexivity in constructing new approaches to complex present-day issues. Existing theories like virtue ethics and utilitarianism (covered elsewhere in this handbook) …

Bragg Compensated Non-Normal Incidence Hoe Fabrication For Occlusion Capable Near Eye Display, Chun Wei Ooi, Dipanjan Chakraborty, Owen Kearney, Izabela Naydenova, John Dingliana, Suzanne Martin

Research Outputs: 2025-Present

volume Holographic Optical Elements (VHOE) are being developed for use in image combiners and waveguide couplers within the near eye display(NED). VHOEs have the potential to replace conventional geometric optics and can perform multiple functions in a lightweight thin layer, depending on the recorded hologram design. However, due to high dispersion and the angular and spectral selectivity of VHOEs, bespoke solutions are needed for every new system design and it is important to be able to fabricate at a given recording wavelength (with available lasers) regardless of the intended operating wavelength of the VHOE. To alleviate the problem, we have …

A Multimodal Dataset For Human Robot Collaborative Systems: Experimental Data, Shakra Mehak, Aayush Jain, John D. Kelleher, Michael Guilfoyle, Philip Long, Maria Chiara Leva

Research Outputs: 2025-Present

Human-Robot Interaction (HRI) systems are becoming increasingly integral to collaborative industrial and service environments. However, understanding human performance within such settings, particularly in Programming by Demonstration (PbD) frameworks, remains a challenge due to limited availability of comprehensive datasets. This study presents a multimodal dataset designed to assess human performance in HRI applications. The dataset includes both objective and subjective measures collected using various tools within a PbD framework. The data is collected to assess the overall system performance, with a focus on the effectiveness of PbD methods in improving robot learning process. The performance attributes encompass programming efficiency, cognitive workload, …