Digital Commons Network^™

Implications Of Second-Order Wave Generation For Physical Modelling Of Force And Run-Up On A Vertical Wall Using Wave Groups, William Mortimer, Ross Calvert, Alessandro Antonini, Deborah Greaves, Alison Raby, Ton S. Van Den Bremer

School of Engineering, Computing and Mathematics

Experiments are contaminated by second-order error waves at sub- and super-harmonic frequencies when first-order wave generation is used. Herein, we investigate by experiment the implications of second-order wave generation theory for dynamic wave force and run-up on a vertical wall in shallow to intermediate water depth (��0⁢��=0.5−1.1). Results of short-duration experiments using focused wave groups generated according to first- and second-order theory are compared. We isolate linear, sub-, and super-harmonic contributions using combinations of inverted wave group time series and filtering. We derive theoretical predictions for narrow-banded second-order wave groups interacting with a vertical wall and use this to calculate …

Power Output Estimation Of A Two-Body Hinged Raft Wave Energy Converter Using Hf Radar Measured Representative Sea States At Wave Hub In The Uk, Daming Wang, Siya Jin, Martyn Hann, Daniel Conley, Keri Collins, Deborah Greaves

School of Engineering, Computing and Mathematics

For the physical model testing of wave energy converters (WECs) in the wave basin, it is necessary to test the models in a small number of sea states. Previously, the H – T binning method was widely used to determine the sea states that are representative of an ocean area. However, it omitted much useful information such as the wave directionality. In this paper, a novel method, the K-means clustering technique is used in combination with High Frequency (HF) radar measured data from Wave Hub, UK. The results show that K-means clustering method better preserves the characteristics of the ocean …

A Designed Two-Body Hinged Raft Wave Energy Converter: From Experimental Study To Annual Power Prediction For The Emec Site Using Wec-Sim, Siya Jin, Daming Wang, Martyn Hann, Keri Collins, Daniel Conley, Deborah Greaves

School of Engineering, Computing and Mathematics

The present study aims at providing more data and insights for the hinged type WEC, especially focusing on the two-body hinged raft WECs. Two WECs are considered: a well-studied generic hinged raft WEC (G-HRWEC) and a 1:25 scale designed hinged raft WEC (D-HRWEC). The open-source tool WEC-Sim is employed in numerical studies. Referring to the published numerical data for G-HRWEC, corrections are proposed to the WEC-Sim model which are shown to realise the ability of WEC-Sim to model the two-body hinged WEC. For the 1:25 scale D-HRWEC, the physical results show that the relative hinge motion between the rafts is …

Developed Graphene/Si Schottky Junction Solar Cells Based On The Top-Window Structure, Hilal Al Busaidi, Ahmed Suhail, David Jenkins, Genhua Pan

School of Engineering, Computing and Mathematics

Chemical Vapor Deposition (CVD)-graphene has potentially been integrated with silicon (Si) substrates for developing graphene/n-Si Schottky junction solar cells prepared with the top window structure. However, there are drawbacks to prepared devices such as complex silicon dioxide (SiO2)-etching steps, low fill factors and stability of doped devices. In this work, SiO2 patterns are simply formed using a sputtering process rather than the previous complex method. Additionally, the fill factor for prepared devices is developed by using transferred residue-free multi-graphene layers. The usage of 3 graphene layers improves the power conversion efficiency (PCE) to 7.1%. A recorded PCE of around 17% …

The Proof Is In The Pudding – Using Perceived Stress To Measure Short-Term Impact In Initiatives To Enhance Gender Balance In Computing Education, Alina Berry, Sarah Jane Delany

Academic Posters Collection

The problem of gender imbalance in computing higher education has forced academics and professionals to implement a wide range of initiatives. Many initiatives use recruitment or retention numbers as their most obvious evidence of impact. This type of evidence of impact is, however, more resource heavy to obtain, as well as often requires a longitudinal approach. There are many shorter term initiatives that use other ways to measure their success.

First, this poster presents with a review of existing evaluation measures in interventions to recruit and retain women in computing education across the board. Three main groups of evaluation come …

Evaluation Of Gender-Based Differences In Primary School Maths Education: The Potential Of Digital Games, Maíra Amaral

Academic Posters Collection

Digital Game-Based Learning is shown to be a more effective instructional method than traditional instruction, however less effective than other technology-supported instruction according to Byun and Joung (2018). Regarding gender aspects, according to findings by Mclaren and colleagues in 2022, girls may learn more mathematics from digital learning games than boys. In their study, even reporting greater behavioural and cognitive engagement, boys did not learn more with the game than girls.

Using Machine Learning For Web Accessibility, Tlamelo Makati

Academic Posters Collection

This research will explore the potential of machine learning to enhance web accessibility. Web accessibility is typically defined in terms of Web Accessibility Guidelines (WCAG), which states that everyone should be able to perceive, operate, understand and interpret the web regardless of disability or use of assistive technology. We would like to consult digital accessibility experts through interviews and focus groups to understand the web accessibility auditing and remediation processes in detail, with a focus on web navigation. An important goal of this work is to establish development processes where all stakeholders can leverage machine-learning tools to produce more accessible …

Serviceability Behaviour Of Frp-Reinforced Slatted Slabs Made Of High-Content Recycled Aggregate Concrete, Thanongsak Imjai, Reyes Garcia, Boksun Kim, Chayanon Hansapinyo, Piti Sukontasukkul

School of Engineering, Computing and Mathematics

At service load levels, shear-induced deflections of reinforced concrete (RC) slabs are small and therefore they are usually ignored in deflection calculations. However, shear-induced deflections can be large in RC slabs reinforced with Fibre Reinforced Polymer (FRP) bars, especially after the development of diagonal cracks. This article investigates the serviceability behaviour (deflections and crack widths) of FRP-reinforced slatted slabs cast with recycled aggregate concrete (RAC). Fifteen slabs were tested in flexure, including five slabs cast with normal concrete (NC), five slabs cast with RAC made with 50% recycled concrete aggregate, and five slabs cast with RAC made with 100% recycled …

Detecting Road Intersections From Satellite Images Using Convolutinal Neural Networks, Fatmaelzahraa Eltaher Ph.D, Luis Miralles-Pechuán, Jane Courtney, Susan Mckeever

Academic Posters Collection

The location of intersections is an important consideration for vulnerable road users such as People with Blindness or Visually Impairment (PBVI) or children. Route planning applications, however, do not give information about the location of intersections as this information is not available at scale. In this paper, we propose a deep learning framework to automatically detect the location of intersections from satellite images using convolutional neural networks. For this purpose, we labelled 7,342 Google maps images from Washington, DC, USA to create a dataset. This dataset covers a region of 58.98 km$^{2}$ and has 7,548 intersections. We then applied a …

Application Of The Two-Variable Model To Simulate A Multisensory Reaction-Time Task, Rebecca Brady, John Butler

Academic Posters Collection

To navigate the world in an efficient manner, the brain seamlessly integrates signals received across multiple sensory modalities. Behavioral studies have suggested that multisensory processing is a winner-take-all sensory response mechanism to some optimal combination of sensory signals. In addition, multiple sensory cues are not always beneficial with some studies showing maladaptive multisensory processing as an identifier of older adults prone to falls from age matched healthy controls.

A stalwart of modelling sensory decision-making is the work by (Wong &Wang, 2006) but to date almost all of this research has been focused on unisensory tasks. We extend the reduced two-variable …

Enhancing Health Data Representation For Older Adults: Unlocking Opportunities, Peterson Jean

Academic Posters Collection

The prevalence of off-the-shelf wearable devices increases the monitoring and measurement of critical physiological parameters like activity, sleep, heart rate, and blood pressure. However, the accessibility of health data representations poses challenges for older adults, who often struggle to understand the criticality of their own health data without assistance. This poster highlights the challenges older adults face in accessing their health data from wearable technologies, specifically focusing on data representations.

To address these challenges, it proposes a methodology that involves a heuristic evaluation of existing data representations with experts and accessibility studies with older adults using a mixed methods approach …

Computer Science Outreach To Inform Secondary School Students’ Perceptions Of Computer Science: Preliminary Findings, Karen Nolan, Roisin Faherty, Keith Quille, Keith Nolan, Amanda O'Farrell, Brett A. Becker

Academic Posters Collection

This poster describes a longitudinal K-12 outreach programme to promote Computer Science in Ireland, which ran over a three-year period from 2017- 2020. A pilot phase was conducted in the first year from 2017-2018 with 2900 students participating. The implementation phase began in 2018, when 7320 students participated across the 2018-2019 and 2019-2020 academic years. The programme consisted of a free onsite school delivery of a two-hour camp that introduced students to a range of Computing topics: addressing computing perceptions, introduction to coding, and exploration of computational thinking. Schools self-selected, and the programme reached a large number of schools with …

Mathematical Modelling Of A Floating Clam-Type Wave Energy Converter, Siming Zheng, John Wilfrid Phillips, Martyn Hann, Deborah Greaves

School of Engineering, Computing and Mathematics

In this paper, wave power extraction from a floating Clam-type wave energy converter is investigated. The device is mainly composed of a Clam, which is formed from two pieces of floating flaps hinged at a submerged body. The Clam is closed by a flexible impermeable bag with the two hinged floating flaps kept apart by a Power Take-Off system. As waves propagate through the device, the Clam motion of the device is excited, which can be used to drive the Power Take-Off system to capture wave power. To evaluate the response and also the wave power absorption of the device, …

Investigating The Use Of Conversational Agents As Accountable Buddies To Support Health And Lifestyle Change, Ekaterina Uetova, Dympna O'Sullivan, Lucy Hederman, Robert J. Ross

Academic Posters Collection

The poster focuses on the role of conversational agents in promoting health and well-being. Results of the literature review indicate that negative emotions can hinder individuals from taking necessary actions related to their health. The study concludes that understanding and addressing emotional barriers is essential to facilitating early access to health services and improving well-being. The poster outlines plans to investigate motivation strategies, develop a prototype conversational agent based on user study insights and chat log data, and incorporate emotion regulation to effectively manage users' emotional experiences.

Improve Engagement With Full Labs And Motivated Students: Interactive Labs Via Low Stakes Assessment, Susan Mckeever, Patricia O'Byrne, Amanda O'Farrell

Academic Posters Collection

Poor engagement and attendance is an endemic problem at third level, particularly post covid. Our approach shows how the use of regular in-lab assessment and challenges can dramatically increase student participation and learning. Using three case studies, we demonstrate how we have successfully used this low-stakes assessment approach to improve student outcomes, across a range of modules.

Attention-Based Gender-Stereotype Detection, Manuela Nayantara, Sarah Jane Delany

Academic Posters Collection

Gender stereotypes are perceptions about the typical physical, emotional, and social characteristics of individuals. Unlike gender bias which can result in the systematic and unfair treatment of individuals based on their gender, gender stereotypes do not always perpetuate a negative impact. Hence, there is no solid definition that frames what is considered a gender-stereotype in text. In addition, there is also a lack of labelled gender-stereotype datasets. This has led to most of the work in literature being about gender bias and not gender stereotypes. Therefore, in our research, we frame a clear definition of what constitutes a gender-stereotype in …

Detecting Patches On Road Pavement Images Acquired With 3d Laser Sensors Using Object Detection And Deep Learning, Ibrahim Hassan Syed, Dympna O'Sullivan, Susan Mckeever, David Power, Ray Mcgowan, Kieran Feighan

Academic Posters Collection

Regular pavement inspections are key to good road maintenance and road defect corrections. Advanced pavement inspection systems such as LCMS (Laser Crack Measurement System) can automatically detect the presence of different defects using 3D lasers. However, such systems still require manual involvement to complete the detection of pavement defects. This work proposes an automatic patch detection system using an object detection technique. Results show that the object detection model can successfully detect patches inside LCMS images and suggest that the proposed approach could be integrated into the existing pavement inspection systems.

From Overlay To Interplay - Subverting The Message And Creating The Surreal With Augmented Reality, Nina Lyons

Academic Posters Collection

This proof of concept utilises content creation tools that create diegetic presentation which is not commonly utilised in AR systems. In this study, the virtual overlay that becomes visible through AR displays diegetic content that disrupts the meaning of the poster highlighting the potential for AR as a visual communication medium and the opportunities that AR has, as a medium, for creating narrative.

Spoken Language To Irish Sign Language Machine Translation: A Linguistically Informed Approach, Jesus Aguilar Lopez, Irene Murtagh, Sheila Castilho

Academic Posters Collection

Many deaf and hard-of-hearing individuals rely on sign language (SL) on a daily basis as a preferred language. Although nowadays there are significant advances on spoken language research, current approaches are often neither linguistically motivated nor tailored to the unique features of SLs. Further research and development are necessary to enhance Sign Language Machine Translation (SLMT) and bring it to a similar level as spoken language MT. This research will endeavour to improve the accuracy and efficiency of SLMT systems, making them more accessible to the Deaf community and empowering deaf and hard of hearing individuals to communicate more effectively …

Towards Accommodating Gerunds Within The Sign Language Lexicon, Zaid Mohammed, Irene Murtagh

Academic Posters Collection

This work is part of ongoing research work that focuses on the linguistic analysis and computational description of five different Sign Languages (SLs) namely Irish Sign Language (ISL), Flemish Sign Language (VGT), Dutch Sign Language (NGT), Spanish Sign Language (LSE), and British Sign Language (BSL) as part of the SignON project. This work will be leveraged to inform the development of SL lexicon entries for a Sign Language Machine Translation (SLMT) system. In particular, this research focuses on ISL. We investigate the existence of constructions similar to or equivalent in functionality to gerunds in spoken language, in particular, English. The …

Evolution Of Floating Offshore Wind Platforms: A Review Of At-Sea Devices, Emma C. Edwards, Anna Holcombe, Scott Brown, Edward Ransley, Martyn Hann, Deborah Greaves

School of Engineering, Computing and Mathematics

Using floating platforms to support offshore wind turbines will be necessary for many countries to reach their Net-Zero targets, since much of the wind resource is located at water depths at which fixed offshore wind turbines are uneconomic or technologically unfeasible. However, floating platforms for wind turbines are still at an early stage of development, and there are a wide range of platform designs. This paper reviews the current state-of-the-art of floating offshore wind turbine platform designs which currently have or have previously had a prototype, demonstration, or farm scale project at sea. The most common design goals for the …

The European Commission And Ai: Guidelines, Acts And Plans Impacting The Teaching Of Ai And Teaching With Ai, Keith Quille, Brett A. Becker, Lidia Vidal-Meliá

Academic Posters Collection

Recent developments, guidelines, and acts by the European Commission have started to frame policy for AI and related areas such as ML and data, not only for the broader community, but in the context of education specifically. This poster presents a succinct overview of these developments. Specifically, we look to bring together all publications that might impact the teaching of AI (for example, teacher expectations in the coming years around AI competencies) and publications that affect the use of AI in the classroom. We mean using tools and systems that incorporate both ‘Good Old Fashioned’ AI and those that can …

Co-Design Of An Interactive Wellness Park: Exploring Design Requirements For A Multimodal Outdoor Physical Web Installation With Older Adults, Fatima Badmos

Academic Posters Collection

The global demographic landscape is experiencing a notable shift, characterised by a growing proportion of adults over 60. According to projections, the proportion of individuals aged 60 and above is expected to reach one-sixth of the global population by 2030. Furthermore, by 2050, this demographic is projected to exceed a staggering two billion people. Amidst this shift, there is an urgent need to develop interactive and innovative solutions to address older adults' unique challenges, particularly in outdoor physical activity.

A co-design methodology involving older adults’ participation from the idea generation to the application development process will be adopted to address …

Enhancing Early-Stage Xai Projects Through Designer-Led Visual Ideation Of Ai Concepts, Helen Sheridan, Emma Murphy, Dympna O'Sullivan

Academic Posters Collection

The pervasive use of artificial intelligence (AI) in processing users’ data is well documented with the use of AI believed to profoundly change users’ way of life in the near future. However, there still exists a sense of mistrust among users who engage with AI systems some of this stemming from lack of transparency, including users failing to understand what AI is, what it can do and its impact on society. From this, the emerging discipline of explainable artificial intelligence (XAI) has emerged, a method of designing and developing AI where a systems decisions, processes and outputs are explained and …

Unlocking The Black Box: Evaluating Xai Through A Mixed Methods Approach Combining Quantitative Standardised Scales And Qualitative Techniques, Helen Sheridan, Dympna O'Sullivan, Emma Murphy

Academic Posters Collection

In 1950 when Alan Turing first published his groundbreaking paper, computing machinery and intelligence and asked “Can machines think?” a new era of research exploring the intelligence of digital computers and their ability to deceive and/or imitate a human was ignited. From these first explorations of AI to modern day artificial intelligence and machine learning systems many advances, breakthroughs and improved algorithms have been developed usually advancing at an exponential pace. This has resulted in the pervasive use of AI systems in the processing of data. Concerns have been expressed related to biased decisions by AI systems around the processing …

Single-System And Dual-Process Accounts Of Explicit And Implicit Memory, Rory Wilfrid Spanton

School of Psychology Theses

While some expressions of memory are accompanied by conscious awareness, others do not elicit this awareness yet still impact task performance. Theorists have long questioned whether these explicit and implicit forms of memory are governed by separate cognitive systems or a single system. There is much behavioural evidence for multiple-systems and dual-process accounts, mainly focusing on studies of recognition memory and long-term repetition priming. However, experimental results and mathematical modelling have shown the ability of a single-system account to explain the relationship between various forms of explicit and implicit memory. This thesis uses behavioural experiments and mathematical modelling to further …

Learning And Planning For Autonomous Systems With Emergent Hierarchical Representations And Decaying Short-Term Memory, Piotr Aleksander Bogdan

School of Engineering, Computing and Mathematics Theses

How do we create machines with the ability to capture, record and recall memories of past experience? How should these machines choose the most optimal action based on those stored memories? These seem like crucial questions for creating intelligent machines capable of learning from experience. The field of Artificial Intelligence (AI) is trying to reproduce such capabilities with increasing success. Currently a large portion of AI algorithms are focusing on making decisions based on big sets of learned past experience examples in the form of instantaneous input-output mapping. They operate as discrete models where time is collapsed into independent signal …

Graphene-Based Biosensors For Quantitative Characterisation Of Dna Methylation, Mina Safarzadeh

School of Engineering, Computing and Mathematics Theses

DNA methylation is associated with various diseases including cancer, cardiovascular diseases and neurodegenerative disorders, making it a potential biomarker to diagnose and prognose these diseases. Hence, a tool to detect and quantify DNA methylation can be valuable to improve clinical tests. In this thesis, we report two different biosensors for the detection and quantification of methylated tumour suppressor gene, O-6-methylguanine-DNA methyltransferase (MGMT), which is a potential biomarker for brain tumours and breast cancer. Both of the reported biosensors in this thesis are based on screen-printed reduced graphene oxide electrodes (rGO SPEs) and are electrochemical biosensors. In the Ab/ssDNA biosensor the …

Phenomenology From Lattice Field Theory Simulations, Gaurav Sinha Ray

School of Engineering, Computing and Mathematics Theses

Lattice QCD is a well-established ab initio probe of the Strong interaction in the low energy nonperturbative regime. As a systematically improvable numerical tool it has proven an effective means of validating the Standard Model against observations from particle physics experiments. In this thesis two topics of phenomenological importance are studied on lattices generated with the Nf = 2+1+1 Highly Improved Staggered Quark action, the spectroscopy of hybrid charmonium mesons, and the hadronic vacuum polarisation. Chapters 1 and 2 serve as a brief introduction to the lattice and provide the relevant background on the theoretical concepts. Basic ingredients such as …

Optimizing Flow Routing Using Network Performance Analysis, Muna Al-Saadi

School of Engineering, Computing and Mathematics Theses

The main task of a network is to hold and transfer data between its nodes. To achieve this task, the network needs to find the optimal route for data to travel by employing a particular routing system. This system has a specific job that examines each possible path for data and chooses the suitable one and transmit the data packets where it needs to go as fast as possible. In addition, it contributes to enhance the performance of network as optimal routing algorithm helps to run network efficiently. The clear performance advantage that provides by routing procedures is the faster …