Engineering Commons^™

Formulating Automated Responses To Cognitive Distortions For Cbt Interactions, Ignacio De Toledo, Giancarlo Salton, Robert J. Ross

Conference papers

One of the key ideas of Cognitive Behavioural Therapy (CBT) is the ability to convert negative or distorted thoughts into more realistic alternatives. Although modern machine learning techniques can be successfully applied to a variety of Natural Language Processing tasks, including Cognitive Behavioural Therapy, the lack of a publicly available dataset makes supervised training difficult for tasks such as reforming distorted thoughts. In this research, we constructed a small CBT dataset via crowd-sourcing, and leveraged state of the art pre-trained architectures to transform cognitive distortions, producing text that is relevant and more positive than the original negative thoughts. In particular, …

Geological Origin As An Input Variable In Reliability-Based Designs: For An Accurate Exploration In Geotechnical Engineering, Juan Camilo Viviescas, Juan Pablo Osorio

Conference papers

Soil is one of the most difficult materials to characterize realistically, which partly explains the uncertainty between the designs and the geostructures real behavior. Different recommendations have arisen with respect to carrying out field investigations in order to reduce the uncertainties inherent to the soil. However, the field exploration and the implementation of sophisticated geotechnical models have proven to be insufficient to mitigate the geotechnical uncertainty. Therefore, Reliability-Based Designs (RBD) emerge as a decision-making tool through the definition of the probability of failure in conjunction with the typical Factors of Safety. RBD requires a previous understanding of the most appropriate …

Development Of A New Electro-Osmotic Consolidation Apparatus, Yenni Mariana Ramírez-Mazo, Juan Pablo Osorio, Sergio Agudelo

Conference papers

Electro-osmotic consolidation is a ground improvement technique in which a DC voltage is applied to the soil via electrodes, in order to drain the water contained in the pores increasing the effective stress, and thus improving the geotechnical properties of the soil. The technique increases the shear strength, reduces the compressibility, and changes the chemical composition of the saturated soft clayey and silty soils to which it can be applied. Electro-osmotic consolidation has been successfully applied in different projects worldwide. This paper presents the development of a new electro-osmotic consolidation apparatus built at Universidad de Antioquia. Tests were carried on …

Arise (Certcoin)- Inspiring Demand For Sustainable Energy Skills, Barry Mcauley, Paul Mccormack, Andrew Hamilton, Eduardo Rebelo

Conference papers

The European AEC Sector now faces impending challenges over the next decade concerning escalating climate targets. To reach these targets, it vital that the green economy deliver a better-skilled workforce and develops new competencies and methods of working. Training in the domain of digital construction technologies and processes, such as Building Information Modelling (BIM), are now seen as essential upskilling vehicles that must be embraced if the sector is to transition towards a greener agenda. To assist in meeting these training needs a selection of partners from the BIM EPA will partake in the Horizon 2020 ARISE project, aiming to …

An Exploration Of Lean And Bim Synergies With A Focus On Smes In Construction, Barry Mcauley, Marina Andreou, Alan V. Hore, Avril Behan

Conference papers

Small and Medium Enterprises (SME) account for 99.7% of the Irish Construction Industry and contribute to 68% of all employment in the sector. These organisations now find themselves facing the challenge of returning to productive business post the Covid 19 shutdown. More than ever, SMEs must modernise and adapt their business models to embrace new ways of working, such as Lean Construction and Building Information Modelling (BIM), in the absence of clear business incentives. It has proved difficult to persuade SMEs to change their ways of working due to limited finances, internal resources and above all, the cultural shift required …

A Proposal To Harmonize Bim And Iot Data Silos Using Blockchain Application, Zulkefly Abu Bakar, Malachy Mathews Dr

Conference papers

The integration of Building Information Modelling (BIM) and Internet of Things (IoT) provide significant end-to-end benefits for the architecture, engineering, construction, and operations (AECO) industry. Example applications include on-site assembly services, data localization for built environment, occupancy performance measures and many other analyses that can be used to improve the built environment. However, silos in the BIM and IoT data exchange have impacted the digital process adoption in AECO industry, which aims to change the dynamics and behaviors of the current working process. Penzes, (2018) in his report, acknowledges the AECO industry as one of the most fragmented sectors with …

Analysis Of The Vertical Movement Of Active Gnss Stations As A Result Of Semidiurnal Tides, Rose Pearson, Eugen Niculae

Conference papers

Ireland is subject to the constant effects and influence of semidiurnal tides. Western coastal regions are exposed to tidal ranges up to and exceeding five metres, consequentially introducing varied water volumes with temporal intervals. In addition, the Earth is elastic in composition, resulting in morphing and warping at the hands of celestial and oceanic forces.

This study looked at Online Precise Point Positioning (PPP) service to accurately monitor the vertical movement of coastal lands. In addition, GNSS Static Post-processing was conducted to discern which method of the global navigation satellite system (GNSS) processing is best for detecting VLM (vertical land …

Digital Construction And Bim Research In Ireland 2016-2020, Barry Mcauley, Roger P. West, Alan V. Hore

Conference papers

As the construction industry opens up post pandemic, new and significant challenges will demand considerable expertise, not least in financial viability, solving the housing crisis and facing the very significant climate change pressures to make the industry less wasteful and less carbon intensive. This presents an excellent opportunity to further inculcate aspects of lean construction, particularly BIM into many aspects of construction not traditionally associated with digital construction, provided the necessary expertise is available and known to exist. Following a well-received recent conference paper summarising BIM-related research published by academics in Ireland’s higher education institutions in 2020, this paper will …

Finding Bert’S Idiomatic Key, Vasudevan Nedumpozhimana, John Kelleher

Conference papers

Sentence embeddings encode information relating to the usage of idioms in a sentence. This paper reports a set of experiments that combine a probing methodology with input masking to analyse where in a sentence this idiomatic information is taken from, and what form it takes. Our results indicate that BERT’s idiomatic key is primarily found within an idiomatic expression, but also draws on information from the surrounding context. Also, BERT can distinguish between the disruption in a sentence caused by words missing and the incongruity caused by idiomatic usage.

Grammatical Evolution For Detecting Cyberattacks In Internet Of Things Environments, Hasanen Alyasiri, John Clark, Ali Malik, Ruairí De Fréin

Conference papers

The Internet of Things (IoT) is revolutionising nearly every aspect of modern life, playing an ever greater role in both industrial and domestic sectors. The increasing frequency of cyber-incidents is a consequence of the pervasiveness of IoT. Threats are becoming more sophisticated, with attackers using new attacks or modifying existing ones. Security teams must deal with a diverse and complex threat landscape that is constantly evolving. Traditional security solutions cannot protect such sys- tems adequately and so researchers have begun to use Machine Learning algorithms to discover effective defence systems. In this paper, we investigate how one approach from the …

Bayesian Adaptive Path Allocation Techniques For Intra-Datacenter Workloads, Ali Malik, Ruairí De Fréin, Chih-Heng Ke, Hasanen Alyasiri, Obinna Izima

Conference papers

Data center networks (DCNs) are the backbone of many cloud and Internet services. They are vulnerable to link failures, that occur on a daily basis, with a high frequency. Service disruption due to link failure may incur financial losses, compliance breaches and reputation damage. Performance metrics such as packet loss and routing flaps are negatively affected by these failure events. We propose a new Bayesian learning approach towards adaptive path allocation that aims to improve DCN performance by reducing both packet loss and routing flaps ratios. The proposed approach incorporates historical information about link failure and usage probabilities into its …

The Effects Of The Transient And Performance Loss Rates On Pv Output Performance, Chibuisi Chinasaokwu Okorieimoh, Brian Norton, Michael Conlon

Conference papers

Solar photovoltaic (PV) panels experience long-term performance degradation as compared to their initial performance, resulting in lower like-per-like efficiencies and performance ratios. Manufacturers of solar photovoltaic modules normally guarantee a lifespan of more than 20 years. To meet such commitments, it is important to monitor and mitigate PV module degradation during this period, as well as beyond, to recognize maintenance and repair needs. Solar PV modules degrade over time, becoming less effective, less reliable, and eventually unusable. The effects of transient and performance loss rates on the output performance of polycrystalline silicon (p-Si) solar PV modules are the focus of …

Extending Instantaneous De-Mixing Algorithms To Anechoic Mixtures, Swarnadeep Bagchi, Ruairí De Fréin

Conference papers

The AdRess algorithm separates sources that are mixed using stereo, pan-mixing in a computationally efficient way. Pan-mixing gives the sources a location in the stereo field by introducing a relative attenuation between the versions of the sources that appear on each channel. AdRess achieves separation by constructing only a frequency-attenuation matrix. We introduce a new algorithm called Delayed-AdRess (D-AdRess), where, in addition to the frequency-attenuation matrix, two other matrices namely, frequency-delay and time-delay are used to separate sources from anechoic mixtures. By anechoic mixtures, we mean mixing scenarios where both attenuation and delays are experienced by the source signals.

Soil Improvement By Electro-Osmotic Consolidation: Laboratory Testing, Yenni Mariana Ramírez-Mazo, Juan Pablo Osorio, Sergio C. Agudelo-Flórez

Conference papers

Electro-osmotic consolidation is a ground improvement technique that has been successfully implemented on the field and at laboratory scale since the 30s. However, its application has been done primarily through empirical procedures and experience. The determinant variables in the effectiveness and efficiency of the improvement are numerous and require further studies. This paper presents the evaluation of the improvement process of an inorganic low plasticity clay subjected to a 150 V/m voltage during 5780 minutes. The special analysis of the strains showed differential settlements, as well as cracking at the surface and with depth. The consolidations curves obtained follow the …

A Comparison Of Risk Factors And Risk Models For Stroke By Age Group Using Tilda Data, Elizabeth Hunter, John D. Kelleher

Conference papers

Models to predict stroke risk with the aim of stroke prevention often use age as a factor in the model (Choudhury et al., 2015; Conroy et al., 2003; D’Agostino etal., 2008; Wolf et al., 1991). However, stroke risk scores often underestimate risk
for specific age groups, particularly younger age groups and the contribution of different risk factors to overall stroke risk changes over time (Boehme et al., 2017; Seshadri et al., 2006). Additionally, because age is a strong predictor of stroke, age can dominate the risk score (Leening et al., 2017). Longitudinal Studies such as the Irish Longitudinal study on …

Diversity, Equity, And Inclusion In Engineering Education: An Exploration Of European Higher Education Institutions’ Strategic Frameworks, Resources, And Initiatives, I. Direto, Shannon Chance, L. Clemmensen, S. Craps, S.B. Economides, S.R. Isaac, A.M. Jolly, F.R. Truscott, N. Wint

Conference papers

Significant efforts have been made to promote gender equality in higher education (HE) in Europe. Examples include the establishment of the Athena Swan Charter in the UK in 2005 and the 2019 launch of the Irène Curie Fellowship scheme by Eindhoven University of Technology. But which initiatives address broader diversity, equity, and inclusion (DEI) challenges in HE? And which are specifically focused on engineering education? This exploratory study aims to improve our understanding of the ways in which a set of European HE Institutions engaged in engineering education address DEI at an organisation level, and how this is communicated within …

A Linear Predictive Coding Filtering Method For Time-Resolved Morphology Of Eeg Activity, Jin Xu, Mark Davis, Ruairí De Fréin

Conference papers

This paper introduces a new time-resolved spectral analysis method based on the Linear Prediction Coding (LPC) method that is particularly suited to the study of the dynamics of EEG (Electroencephalography) activity. The spectral dynamics of EEG signals can be challenging to analyse as they contain multiple frequency components and are often corrupted by noise. The LPC Filtering (LPCF) method described here processes the LPC poles to generate a series of reduced-order filter transform functions which can accurately estimate the dominant frequencies. The LPCF method is a parameterized time-frequency method that is suitable for identifying the dominant frequencies of multiple-component signals …

Improving Visual Inspection Reliability In Aircraft Maintenance, Victor Hrymak, Patrick Codd

Conference papers

Visual inspection is a fundamental safety critical task in the air transport industry. This study investigates how a visual search strategy with a specific eye scanning pattern can be used to improve the observation of aircraft defects during visual inspection tasks. N=100 aircraft maintenance technicians were recruited and N=48 were allocated to a control condition. This group conducted pre-flight visual inspections on aircraft, using their normal custom and practice. The remaining N=52 experimental group participants were trained to use a specific eye scanning pattern during their pre-flight inspection called systematic visual search. Prior to inspections, the number of observable defects …

Fractal Graphene Patch Antennas And The Thz Communications Revolution, Jonathan Blackledge, A. Boretti, L. Rosa, S. Castelletto

Conference papers

Fractal antennas have and are continuing to receive attention in regard to the futureof wireless communications. This is because of their wide- and multi-band capabilities, theopportunity of fractal geometries to drive multiple resonances, and, the ability to make smallerand lighter antennas with fewer components and radiative elements with higher gains. Smallscale (i.e. on the micro- and nano-scale) and ultra high frequency (in the Terahertz or THz range)fractal antennas composed of Graphene have the potential to enhance wireless communicationsat a data rate that is unprecedented, i.e.∼1012bits per second. A Fractal Graphene antennais a high-frequency tuneable antenna for radio communications in the …

Codec-Aware Video Delivery Over Sdns, Obinna Izima, Ruairi Defrein, Ali Malik

Conference papers

To guarantee quality of delivery for video streaming over software defined networks, efficient predictors and adaptive routing frameworks are required. We demonstrate an agent that predicts video quality of delivery metrics in a scalable way using a bespoke codec-aware learning model. We also demonstrate the integration of this agent with an adaptive framework for centrally controlled software-defined networks that re-configures network operational paths in response to the learning agent, ensuring that good quality of delivery of video is maintained during periods of congestion. The demo scenario highlights the feasibility, scalability and accuracy of the framework

Underestimation Bias And Underfitting In Machine Learning, Padraig Cunningham, Sarah Jane Delany

Conference papers

. Often, what is termed algorithmic bias in machine learning will be due to historic bias in the training data. But sometimes the bias may be introduced (or at least exacerbated) by the algorithm itself. The ways in which algorithms can actually accentuate bias has not received a lot of attention with researchers focusing directly on methods to eliminate bias - no matter the source. In this paper we report on initial research to understand the factors that contribute to bias in classification algorithms. We believe this is important because underestimation bias is inextricably tied to regularization, i.e. measures to …

Gamification Of Icebreaking Activities For Mechanical Engineering Students Embarking On A Problem Based Learning Module, Kevin Delaney, Gerard Nagle, Mingzhu Chen

Conference papers

When they enter the workforce engineering graduates must be able to engage collaboratively with others to find solutions to complex engineering challenges. This involves a great deal more than simply solving technical problems traditionally taught in engineering school. The Mechanical Engineering Discipline in Technological University Dublin (TU Dublin) has helped students develop real-world engineering skills through a team based Problem Based Learning (PBL) module since 2005. This module, involving third year students, can be particularly challenging since participants can join the third year of the program from other programs or universities and many will not have known each other prior …

Momentum Towards Incorporating Global Responsibility In Engineering Education And Accreditation In The Uk, Jonathan Truslove, Emma Crichton, Shannon Chance, Katie Cresswell-Maynard

Conference papers

CONTEXT Engineering is uniquely placed to help address global challenges such as those surrounding the climate crisis, and the sustainable use and management of resources. However, studies have found UK engineering companies that have adopted sustainability strategies do not have enough staff with the skills to achieve them. There is an urgent need to upskill the current workforce and prepare future generations to operate in a responsible and ethical manner in tackling today's challenges. Recent updates to the standard of engineering accreditation in the UK provide notable opportunities to transform university curricula to create globally responsible engineers.

PURPOSE This preliminary …

Women Studying Engineering Abroad: Intersectionality And Student Support, Shannon Chance, Bill Williams, Inês Direito

Conference papers

What is it like to study engineering in Ireland when you are female and you come from somewhere far away, in the Middle East, which has different social customs and norms? What is your lived experience? What aspects of the experience are common to Middle Eastern women across your course? As education researchers, we aim to understand the essence of the experience these foreign women have had studying engineering in Ireland-what life has been like for them and what unique challenges they have faced that may be invisible to us as instructors. This article reports preliminary analysis of 13 interviews …

Detecting Interlocutor Confusion In Situated Human-Avatar Dialogue: A Pilot Study, Na Li, John D. Kelleher, Robert J. Ross

Conference papers

In order to enhance levels of engagement with conversational systems, our long term research goal seeks to monitor the confusion state of a user and adapt dialogue policies in response to such user confusion states. To this end, in this paper, we present our initial research centred on a user-avatar dialogue scenario that we have developed to study the manifestation of confusion and in the long term its mitigation. We present a new definition of confusion that is particularly tailored to the requirements of intelligent conversational system development for task-oriented dialogue. We also present the details of our Wizard-of-Oz based …