Digital Commons Network^™

Data: The Good, The Bad And The Ethical, John D. Kelleher, Filipe Cabral Pinto, Luis M. Cortesao

Articles

It is often the case with new technologies that it is very hard to predict their long-term impacts and as a result, although new technology may be beneficial in the short term, it can still cause problems in the longer term. This is what happened with oil by-products in different areas: the use of plastic as a disposable material did not take into account the hundreds of years necessary for its decomposition and its related long-term environmental damage. Data is said to be the new oil. The message to be conveyed is associated with its intrinsic value. But as in …

Evaluating Instructional Designs With Mental Workload Assessments In University Classrooms, Luca Longo, Giuliano Orru'

Articles

Cognitive cognitive load theory (CLT) has been conceived for improving instructional design practices. Although researched for many years, one open problem is a clear definition of its cognitive load types and their aggregation towards an index of overall cognitive load. In Ergonomics, the situation is different with plenty of research devoted to the development of robust constructs of mental workload (MWL). By drawing a parallel between CLT and MWL, as well as by integrating relevant theories and measurement techniques from these two fields, this paper is aimed at investigating the reliability, validity and sensitivity of three existing self-reporting mental workload …

School Of Culinary Arts & Food Technology - Winter Newsletter 2020, James Murphy

Other resources

The School of Culinary Arts and Food Technology, TU Dublin, Winter Newsletter captured the many events, research, awards, significant contributions and special civic, community and sustainability activities which the students and staff members of the school have successfully completed up to the Winter period of 2020. The successful completion of these activities would not be possible without the active and on-going support of the 'INSPIRED' friends of Culinary Arts (school supporters) and our school's industry association supporters.

Deepmapper : Automatic Updating Crowdsourced Maps, Lasith Niroshan Hewa Manage, James Carswell

Other

To get accurate information returned from location-based services (e.g., LBS info on nearby restaurants, retail outlets, points-of-interest, etc.), the underlying map (spatial data) must be up-to-date. However, the built environment (e.g., roads, buildings, bike paths, etc.) can change quickly over time, either through planned developments or as the result of natural/manmade disasters. The problem is that keeping online crowdsourced maps like Open Street Map (OSM) updated is still very much a manual process. As such, it can take considerable time to sync the online maps used by LBS with up-to-date spatial data in "real-time".

Our case study considers the Grangegorman …

State Of The Art In Composition, Fabrication, Characterization, And Modeling Methods Of Cement-Based Thermoelectric Materials For Low-Temperature Applications, Xiaoli Liu, Ruchita Jani, Esther Orisakwee, Conrad Johnston, Piotr Chudzinski, Ming Qu, Brian Norton, Niall Holmes Dr., Jorge Kohanoff, Lorenzo Stella, Hongxi Yin, Kazuaki Yazawa

Articles

The worldwide energy crisis and environmental deterioration are probably humanity’s greatest challenges. Thermoelectricity, which allows for the mutual conversion between thermal and electrical energy, has become a promising technology to alleviate this challenge. Increasingly more research focuses on how to fabricate and apply thermoelectric materials for harvesting energy and regulating the indoor thermal environment. However, only a few studies have focused on cementitious materials with thermoelectric potential. Thermoelectric cement is a composite material in which particular additives can enhance the thermoelectric performance of ordinary cement. By potentially replacing traditional construction materials with thermoelectric cement in building applications, electricity could be …

Bio-Binder—Innovative Asphalt Technology, Amir Tabakovic

Articles

The global road network spans 16.3 million km [1], of which 5 million km is in the EU. These road networks fulfil major economic and social goals by facilitating the movement of goods and people throughout the EU, and are therefore of the utmost importance to the economic and social life of the EU [2]. National governments invest heavily in their road networks, e.g., in 2014, EUR 53.33 billion was invested in the development and maintenance of the EU road network [3]. Each year, the world produces 1.6 trillion tonnes of asphalt [4], of which 218 million tonnes is produced …

The Culturally Capitalised Graduate: Toward A Wider Reading Experience For Undergraduate Students, Sue Norton

Books/Book Chapters

This essay considers higher education policy in Ireland that, in limited optional ways, is diversifying the undergraduate curriculum to incorporate wider reading across disciplines. Such policies, now gaining traction, aim to foster greater graduate employability, understood as the resilience and resourcefulness to secure positions in the workplace over time, and in fluctuating periods of supply and demand; they also support graduates to live more meaningfully in society. This essay’s three sections draw upon several sources including a business consultancy website, journal articles, and academic papers and reports. It extrapolates in particular from the research of Julia Preece and Anne-Marie Houghton …

How Does Convergence Influence Cluster-Based Economic Growth In Regions?, Jamie Meehan

Doctoral

This thesis is a novel study examining the influence of convergenceon cluster-based economicgrowth in regions. The goal of which isto provide exploratory insights frombothnational and international perspectives. This research study examines the relevant literature in thefieldsof convergence,clusters,and regions. It thenadoptsideologies from the most salient studies,to create a conceptual framework. There is limitedextantliterature currently available on the connection between convergence, cluster-based economicgrowth,and regions. AnOECD (2011) report identified the importance of regions as they are themost effective place to make economic decisions. The convergence approachof moving towards equality, bottom-up growth,and co-opetition can be regarded as being imperative to the successful augmentation of …

Do Greenhouse Gases Impact Our Respiratory System? A Study Of The Effect Of Greenhouse Gas Emissions On Respiratory Disease Related Mortality In Ireland, Anushree Priyadarshini, Christina Kenny

Articles

Respiratory-related deaths are one of the major causes of morbidity and mortality every year in the developed world. Previous research outlines that greenhouse gas emission levels have a negative effect on respiratory health and can cause worsening of symptoms. This study examines the impact of greenhouse gas emissions on respiratory disease related mortality in Ireland from 2007-2017 using Statbank data from Central Statistics Office, Ireland. Analysis shows that over the last decade, while greenhouse gases emissions in Ireland have reduced by 1.1%, respiratory disease related mortality has increased on an average by 2.1%. Results indicate that greenhouse gas emis- sions …

The 1st Disrupting Thinking Research Conference Presentation Tu Dublin - An Investigation Of The Personality Traits That Could Identify Vulnerable Young People Who Will Be Susceptible To Undue Influence By Social Media Influencers (Smis), Charles Alves De Castro, Aiden Carthy Dr

Other Resources

This study aims to further the overall understanding of Social Media Influencers (SMIs) and to specifically predict who will be susceptible to influence by them. The main objective of this research relies on to determine whether there is a specific personality profile that predisposes young people to undue influence by social media influencers. Based on previous research published by the journal Frontiers in Psychology titled “The Role of Social Media Influencers in the Lives of Children and Adolescents ¹”, a list of potentially harmful content will be compiled. Participants (N=40) in phase one will then be given …

The 11th Annual Graduate Research Symposium 2020 Presentation Tu Dublin - An Investigation Of The Personality Traits That Could Identify Vulnerable Young People Who Will Be Susceptible To Undue Influence By Social Media Influencers (Smis), Charles Alves De Castro, Aiden Carthy Dr

Other Resources

This study aims to further the overall understanding of Social Media Influencers (SMIs) and to specifically predict who will be susceptible to influence by them. The main objective of this research relies on to determine whether there is a specific personality profile that predisposes young people to undue influence by social media influencers. Based on previous research published by the journal Frontiers in Psychology titled “The Role of Social Media Influencers in the Lives of Children and Adolescents ¹”, a list of potentially harmful content will be compiled. Participants (N=40) in phase one will then be given …

Technological University Dublin Covid-19 Enterprise Response Forum Report: Building Resilient Supply Chains, John Crowe, Waleed Abo-Hamad, Abubakar Ali

Technical Reports/Case Studies

No abstract provided.

Development Of Novel Pectinase And Xylanase Juice Clarification Enzymes Via A Combined Biorefinery And Immobilization Approach, Shady Hassan

Doctoral

Hydrolytic enzymes, such as pectinase and xylanase, maybe harnessed for numerous industrial applications in food industry. Therefore, economic factors such as achievement of optimum yieldsandoverall production costs, in addition to biocatalyst instability,are the main obstacles tothe industrial production and exploitation of a enzymes. For example, microbially-derived enzymes are typically produced in fermenters using expensive growth media, which may account for 30 to 40% of the production cost, and such expense may be compounded further by downstream processing operations.To counter such disadvantages, the major trend in industrial utilization of enzymes in cost-sensitive processes has been to immobilize such biocatalysts on a …

Is Media Assistance Obsolete? A Practice-Based Perspective On The Potential For Digital Technologies To Achieve Media Development Goals In Sub-Saharan Africa, Daire Higgins

Doctoral

The area of media assistance is not a widely known part of the Development Aid sector, even though it has been in existence since after World War II and has grown significantly since then as part of the development agenda. Media Assistance has been included in the strategies of Western and non Western donors as part of their overseas Aid programmes in many regions, supporting journalism and media with the objectives of contributing to accountability, transparency, governance and ultimately, democracy. This thesis examines the impact on the Media Assistance sector of the arrival of digital technologies into the ‘information ecosystems’ …

Combining Bert With Contextual Linguistic Features For Identification Of Propaganda Spans In News Articles, Arjumand Younus, Muhammad Atif Qureshi

Conference papers

Recent endeavours at detection of propaganda in news articles treat this as a fine-grained problem of detecting it within fragments; and hence, transformer based embeddings perform decently in such detection. We build our propaganda detection framework on top of a transformer model simultaneously enriching it with contextual linguistic information of surrounding part-of-speech tags and LIWC categories the word itself belongs to. The evaluation outcomes being encouraging indicate a huge potential for this line of reasoning in natural language processing of news text.

A Conceptual Model To Explain Dark Matter And Dark Energy, Jonathan Blackledge

Articles

This paper considers a conceptual model that attempts to explain ‘Dark Matter’ and‘Dark Energy’. The model is based on considering a gravitational field to be the result of a mass (aHiggs field) scattering pre-existing cosmic background space-time waves or ‘Uber-waves’. The term‘Uber’ is used to denote an outstanding or supreme example of a particular kind of gravitationalwave with cosmic-scale wavelengths that are far in excess of those associated with the gravitationalwaves generated by accelerating masses. Such waves are taken to be the very lowest frequencycomponents associated with the spectrum of space-time waves generated by the ‘Big Bang’ andare supported by …

Exploring The Potential Of Defeasible Argumentation For Quantitative Inferences In Real-World Contexts: An Assessment Of Computational Trust, Lucas Rizzo, Pierpaolo Dondio, Luca Longo

Articles

Argumentation has recently shown appealing properties for inference under uncertainty and conflicting knowledge. However, there is a lack of studies focused on the examination of its capacity of exploiting real-world knowledge bases for performing quantitative, case-by-case inferences. This study performs an analysis of the inferential capacity of a set of argument-based models, designed by a human reasoner, for the problem of trust assessment. Precisely, these models are exploited using data from Wikipedia, and are aimed at inferring the trustworthiness of its editors. A comparison against non-deductive approaches revealed that these models were superior according to values inferred to recognised trustworthy …

Lightgwas: A Novel Machine Learning Procedure For Genome-Wide Association Study, Ambrozio Bruno, Luca Longo, Lucas Rizzo

Articles

This paper proposes a novel machine learning procedure for genome-wide association study (GWAS), named LightGWAS. It is based on the LightGBM framework, in addition to being a single, resilient, autonomous and scalable solution to address common limitations of GWAS implementations found in the literature. These include reliance on massive manual quality control steps and specific GWAS methods for each type of dataset morphology and size. Through this research, LightGWAS has been contrasted against PLINK2, one of the current state-of-the-art for GWAS implementations based on general linear model with support to firth regularisation. The mean differences measured upon standard classification metrics, …

Neurophysiological Correlates Of Dual Tasking In People With Parkinson's Disease And Freezing Of Gait, Conor Fearon, John Butler, Saskia Waechter, Isabelle Killane, Simon Kelly, Richard B Reilly, Timothy Lynch

Articles

Freezing of gait in people with Parkinson's disease (PwP) is associated with executive dysfunction and motor preparation deficits. We have recently shown that electrophysiological markers of motor preparation, rather than decision-making, differentiate PwP with freezing of gait (FOG +) and without (FOG -) while sitting. To examine the effect of locomotion on these results, we measured behavioural and electrophysiological responses in PwP with and without FOG during a target response time task while sitting (single-task) and stepping-in-place (dual-task). Behavioural and electroencephalographic data were acquired from 18 PwP (eight FOG +) and seven young controls performing the task while sitting and …

A Comparative Analysis Of Rule-Based, Model-Agnostic Methods For Explainable Artificial Intelligence, Giulia Vilone, Lucas Rizzo, Luca Longo

Articles

The ultimate goal of Explainable Artificial Intelligence is to build models that possess both high accuracy and degree of explainability. Understanding the inferences of such models can be seen as a process that discloses the relationships between their input and output. These relationships can be represented as a set of inference rules which are usually not explicit within a model. Scholars have proposed several methods for extracting rules from data-driven machine-learned models. However, limited work exists on their comparison. This study proposes a novel comparative approach to evaluate and compare the rulesets produced by four post-hoc rule extractors by employing …

Detecting Hacker Threats: Performance Of Word And Sentence Embedding Models In Identifying Hacker Communications, Susan Mckeever, Brian Keegan, Andrei Quieroz

Conference papers

Abstract—Cyber security is striving to find new forms of protection against hacker attacks. An emerging approach nowadays is the investigation of security-related messages exchanged on deep/dark web and even surface web channels. This approach can be supported by the use of supervised machine learning models and text mining techniques. In our work, we compare a variety of machine learning algorithms, text representations and dimension reduction approaches for the detection accuracies of software-vulnerability-related communications. Given the imbalanced nature of the three public datasets used, we investigate appropriate sampling approaches to boost detection accuracies of our models. In addition, we examine how …

Language-Driven Region Pointer Advancement For Controllable Image Captioning, Annika Lindh, Robert J. Ross, John D. Kelleher

Conference papers

Controllable Image Captioning is a recent sub-field in the multi-modal task of Image Captioning wherein constraints are placed on which regions in an image should be described in the generated natural language caption. This puts a stronger focus on producing more detailed descriptions, and opens the door for more end-user control over results. A vital component of the Controllable Image Captioning architecture is the mechanism that decides the timing of attending to each region through the advancement of a region pointer. In this paper, we propose a novel method for predicting the timing of region pointer advancement by treating the …

Dublin Smart City Data Integration, Analysis And Visualisation, Hammad Ul Ahad

Doctoral

Data is an important resource for any organisation, to understand the in-depth working and identifying the unseen trends with in the data. When this data is efficiently processed and analysed it helps the authorities to take appropriate decisions based on the derived insights and knowledge, through these decisions the service quality can be improved and enhance the customer experience. A massive growth in the data generation has been observed since two decades. The significant part of this generated data is generated from the dumb and smart sensors. If this raw data is processed in an efficient manner it could uplift …

A Comparative Case Study To Determine The Correlation That Exists Between The Irish Ppp And The Uk Pfi Policies, Alan Kirby

Doctoral

This research attempts to examine the previous pathway and current state of play in relation to the Irish PPP policy. Commentators have identified that the origins and progression of the Irish PPP programme can be traced back to the UK PFI (PPP) policy. The focus of this study is to examine the relationship, notably ‘the correlation’ that exists between both the Irish PPP and the UK PFI policies. In doing so we examine the components of both policies to try to ascertain what drove Ireland and the UK to introduce such measures, alongside the subsequent amendments that were deemed necessary. …

Power-Weighted Lpc Formant Estimation, Ruairí De Fréin

Conference papers

A power-weighted formant frequency estimation procedure based on Linear Predictive Coding (LPC) is presented. It works by pre-emphasizing the dominant spectral components of an input signal, which allows a subsequent estimation step to extract formant frequencies with greater accuracy. The accuracy of traditional LPC formant estimation is improved by this new power-weighted formant estimator for different classes of synthetic signals and for speech. Power-weighted LPC significantly and reliably outperforms LPC and variants of LPC at the task of formant estimation using the VTR formants dataset, a database consisting of the Vocal Tract Resonance (VTR) frequency trajectories obtained by human experts …

Energy-Based Neural Modelling For Large-Scale Multiple Domain Dialogue State Tracking, Anh Duong Trinh, Robert J. Ross, John D. Kelleher

Conference papers

Scaling up dialogue state tracking to multiple domains is challenging due to the growth in the number of variables being tracked. Furthermore, dialog state tracking models do not yet explicitly make use of relationships between dialogue variables, such as slots across domains. We propose using energy-based structure prediction methods for large-scale dialogue state tracking task in two multiple domain dialogue datasets. Our results indicate that: (i) modelling variable dependencies yields better results; and (ii) the structured prediction output aligns with the dialogue slot-value constraint principles. This leads to promising directions to improve state-of-the-art models by incorporating variable dependencies into their …

Deep Learning In The Maintenance Industry, Paulo Cesar Ribeiro Silva

Doctoral

No abstract provided.

Increasing The Stability And Applications Of Highly Active Naturally Occurring Antimicrobial Peptides, Wayne Travers

Doctoral

Antimicrobial Resistance is a fundamental threat to global health and safety” (WHO, 2016). Nisin, a 34 amino acid lanthipeptide, is currently used as a food preservative worldwide and has been used for decades without significant bacterial resistance having developed. It is an extremely active molecule which kills a range of different bacterial species. However nisin, along with some other similar peptides, suffers from low stability and solubility at physiological pH, which severely restricts its possible use in human and veterinary medicine. This research is concerned with increasing the stability of nisin in physiological pH systems; the stability of the dehydroalanine …

Predicting Quality Of Delivery Metrics For Adaptive Video Codec Sessions, Obinna Izima, Ruairí De Fréin, Mark Davis

Conference papers

Predicting video quality will continue to be an active area of research given the dominance of video traffic for years to come. Network service practitioners that are poised to handle the strain on the existing limited bandwidth constraints are better placed to be SLA-compliant. The dynamic and time-varying nature of cloud-hosted services require improved techniques to realize accurate models of the systems. To address this challenge: (1) we propose Codec-aware Network Adaptation Agent (cNAA), an online light-weight data learning engine that achieves accurate and correct predictions of quality of delivery (QoD) metrics, namely jitter for video services. cNAA achieves this …

Enhancing The Visibility Of Vernier Effect In A Tri-Microfiber Coupler Fiber Loop Interferometer For Ultrasensitive Refractive Index And Temperature Sensing, Fangfang Wei, Dejun Liu, Zhe Wang, Zhuochen Wang, Gerald Farrell, Qiang Wu, Gang-Ding Peng, Yuliya Semenova

Articles

In this paper a Vernier effect based sensor is analyzed and demonstrated experimentally in a tri-microfiber coupler (Tri-MFC) and polarization-maintaining fiber (PMF) loop interferometer (Tri-MFC-PMF) to provide ultrasensitive refractive index and temperature sensing. The main novelty of this work is an analysis of parameters of the proposed Tri-MFC-PMF with the objective of determining the conditions leading to a strong Vernier effect. It has been identified by simulation that the Vernier effect is a primary factor in the design of Tri-MFC-PMF loop sensing structure for sensitivity enhancement. It is furthermore demonstrated experimentally that enhancing the visibility of the Vernier spectrum in …