Engineering Commons^™

Virtual Network Function Embedding Under Nodal Outage Using Deep Q-Learning, Swarna Bindu Chetty, Hamed Ahmadi, Sachin Sharma, Avishek Nag

Articles

With the emergence of various types of applications such as delay-sensitive applications, future communication networks are expected to be increasingly complex and dynamic. Network Function Virtualization (NFV) provides the necessary support towards efficient management of such complex networks, by virtualizing network functions and placing them on shared commodity servers. However, one of the critical issues in NFV is the resource allocation for the highly complex services; moreover, this problem is classified as an NP-Hard problem. To solve this problem, our work investigates the potential of Deep Reinforcement Learning (DRL) as a swift yet accurate approach (as compared to integer linear …

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 …

The Prospect Of Microwave Heating: Towards A Faster And Deeper Crack Healing In Asphalt Pavement, Shi Xu, Xueyan Liu, Amir Tabakovic, Erik Schlangen

Articles

Microwave heating has been shown to be an effective method of heating asphalt concrete and in turn healing the damage. As such, microwave heating holds great potential in rapid (1–3 min) and effective damage healing, resulting in improvement in the service life, safety, and sustainability of asphalt pavement. This study focused on the microwave healing effect on porous asphalt concrete. Steel wool fibres were incorporated into porous asphalt to improve the microwave heating efficiency, and the optimum microwave heating time was determined. Afterwards, the microwave healing efficiency was evaluated using a semi–circular bending and healing programme. The results show that …

A Hermeneutic Phenomenological Study Into The Impact Of Bim On The Social Dynamics Of The Aec Professional In The Workplace., Malachy Mathews Dr.

Doctoral

A review of the literature published surrounding new digital design and construction technologies and associated processes described within the Architecture, Engineering, and Construction (AEC) community as Building Information Modelling (BIM) or Virtual Design and Construction (VDC) reveals a gap in the theoretical understanding of the impact these technologies are having on professionals who work in this industry. The central aim of this research is to discover if there has been a shift in social dynamics as a result of the adoption of BIM in the workplace and, if there has been, to discuss the meaning of this for the industry …

Towards A Blockchain Assisted Patient Owned System For Electronic Health Records, Tomilayo Fatokun, Avishek Nag, Sachin Sharma

Articles

Security and privacy of patients’ data is a major concern in the healthcare industry. In this paper, we propose a system that activates robust security and privacy of patients’ medical records as well as enables interoperability and data exchange between the different healthcare providers. The work proposes the shift from patient’s electronic health records being managed and controlled by the healthcare industry to a patient-centric application where patients are in control of their data. The aim of this research is to build an Electronic Healthcare Record (EHR) system that is layered on the Ethereum blockchain platform and smart contract in …

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 …

Bs News March/April

Building Services Engineering

No abstract provided.

Deployment And Control Of Adaptive Building Facades For Energy Generation, Thermal Insulation, Ventilation And Daylighting: A Review, Hani Alkhatib, Philippe Lemarchand, Brian Norton, Dominic O'Sullivan

Articles

A major objective in the design and operation of buildings is to maintain occupant comfort without incurring significant energy use. Particularly in narrower-plan buildings, the thermophysical properties and behaviour of their façades are often an important determinant of internal conditions. Building facades have been, and are being, developed to adapt their heat and mass transfer characteristics to changes in weather conditions, number of occupants and occupant’s requirements and preferences. Both the wall and window elements of a facade can be engineered to (i) harness solar energy for photovoltaic electricity generation, heating, inducing ventilation and daylighting (ii) provide varying levels of …

A Phenomenographic Study Of Academics Teaching In Engineering Programmes In Ireland: Conceptions Of Professional Skills And Approaches To Teaching Professional Skills, Una Beagon

Doctoral

Engineers play a central role in addressing the challenges which face society. However, the influence of globalisation, disruptive technological change and socially complex problems will greatly affect the way engineers work in the future.

As a result, there have been calls to embrace transformational change in engineering education, yet the literature reveals that many reform efforts have fallen short. Industry and society will therefore continue to look to Higher Education Institutions (HEIs) to better prepare engineering graduates with the new skills needed to face the challenges of the future. Notwithstanding the critical and valued role that technical engineering subjects have …

Review Of Current Healthcare Waste Management Methods And Their Effect On Global Health, Anushree Priyadarshini, Christina Kenny

Articles

Healthcare is a rapidly growing industry as medical treatments become more sophisticated, more in demand due to increasing incidence of chronic disease and more widely available worldwide. This booming industry is also creating more waste than ever before and, as such, there is a growing need to treat and dispose of this waste. Healthcare waste (HCW) disposal includes a multitude of disposal methods, including incineration, landfilling and chemical treatments. These rudimentary methods and their growing use present their own problems that negatively impact both the environ- ment and, in turn, damage public health, thus contributing to a global healthcare crisis. …

Examining The Modelling Capabilities Of Defeasible Argumentation And Non-Monotonic Fuzzy Reasoning, Luca Longo, Lucas Rizzo, Pierpaolo Dondio

Articles

Knowledge-representation and reasoning methods have been extensively researched within Artificial Intelligence. Among these, argumentation has emerged as an ideal paradigm for inference under uncertainty with conflicting knowledge. Its value has been predominantly demonstrated via analyses of the topological structure of graphs of arguments and its formal properties. However, limited research exists on the examination and comparison of its inferential capacity in real-world modelling tasks and against other knowledge-representation and non-monotonic reasoning methods. This study is focused on a novel comparison between defeasible argumentation and non-monotonic fuzzy reasoning when applied to the representation of the ill-defined construct of human mental workload …

An Lpc Pole Processing Method For Enhancing The Identification Of Dominant Spectral Features, Jin Xu, Mark Davis, Ruairí De Fréin

Articles

This paper proposes a new time-resolved spectral analysis method based on a modification to the Linear Predictive Coding (LPC) method for enhancing the identification of the dominant frequencies of a signal. The method described here is based on a z-plane analysis of the LPC poles. These poles are used to produce a series of reduced order filter transfer functions which can accurately identify and estimate the frequency of the dominant spectral features. The standard LPC method has been shown to suffer from a sensitivity to noise and its performance is dependent on the filter order. The proposed method can accurately …

Hybrid Modelling For Stroke Care: Review And Suggestions Of New Approaches For Risk Assessment And Simulation Of Scenarios, Tilda Herrgårdh, Vince I. Madai, John Kelleher, Rasmus Magnusson, Mika Gustafsson, Lili Milani, Peter Gennemark, Gunnar Cedersund

Articles

Stroke is an example of a complex and multi-factorial disease involving multiple organs, timescales, and disease mechanisms. To deal with this complexity, and to realize Precision Medicine of stroke, mathematical models are needed. Such approaches include: 1) machine learning, 2) bioinformatic network models, and 3) mechanistic models. Since these three approaches have complementary strengths and weaknesses, a hybrid modelling approach combining them would be the most beneficial. However, no concrete approach ready to be implemented for a specific disease has been presented to date. In this paper, we both review the strengths and weaknesses of the three approaches, and propose …

Developing An Open-Book Online Exam For Final Year Students, Keith Quille, Keith Nolan, Brett Becker, Sean Mchugh

Conference Papers

Like many others, our institution had to adapt our traditional proctored, written examinations to open-book online variants due to the COVID-19 pandemic. This paper describes the process applied to develop open-book online exams for final year (undergraduate) students studying Applied Machine Learning and Applied Artificial Intelligence and Deep Learning courses as part of a four-year BSc in Computer Science. We also present processes used to validate the examinations as well as plagiarism detection methods implemented. Findings from this study highlight positive effects of using open-book online exams, with 85% of students reporting that they either prefer online open-book examinations or …

A Critical Analysis Of The Application Of Augmented Reality (Ar) For Monitoring And Documentation Of Construction Site Progress In The Irish Aec Industry., Bim Tudublin, Lukasz Sarnot

Capstone Reports

Sarnot, L. (2021) A critical analysis of the application of augmented reality (AR) for monitoring and documentation of construction site progress in the Irish AEC industry, Capstone Project from the MSc in aBIMM

An Examination Of The Use Of Geotechnical Bim To Provide Value Engineering Solutions For Coastal Infrastructure., Bim Tudublin, Eric Brennan

Capstone Reports

The digitisation of construction is taking root as Building Information Modelling is becoming more prevalent across the industry. From an Irish context, the adoption rate of BIM has been slow; nationally its advantages and merits have been welcomed and the appropriate government support is either available, soon to be implemented or in the early conceptual stage. Within the Irish governments Project Ireland 2040 framework there are significant infrastructure developments looming ahead, in particular regarding ports and harbours. The importance of this type of infrastructure is only further compounded due to the UK’s departure from the EU and the need for …

Stellar Classification Of Folded Spectra Using The Mk Classification Scheme And Convolutional Neural Networks, John Magee

Dissertations

The year 1943 saw the introduction of the Morgan-Keenan (MK) classification scheme and this replaced the existing Harvard Classification scheme. Both stellar classification scheme are fundamentally grounded in the field of spectroscopy. The Harvard Classification scheme classified stars based on stellar surface temperature. The MK Classification scheme introduced the concept of a luminosity class that is intrinsically linked to the surface gravity of a star. Temperature and luminosity class values are estimated directly from the stellar spectrum.

Machine learning is a well-established technique in astronomy. Traditionally, a spectrum is treated as a one-dimensional sequence of data. Techniques such as artificial …

Exploiting Bert And Roberta To Improve Performance For Aspect Based Sentiment Analysis, Gagan Reddy Narayanaswamy

Dissertations

Sentiment Analysis also known as opinion mining is a type of text research that analyses people’s opinions expressed in written language. Sentiment analysis brings together various research areas such as Natural Language Processing (NLP), Data Mining, and Text Mining, and is fast becoming of major importance to companies and organizations as it is started to incorporate online commerce data for analysis. Often the data on which sentiment analysis is performed will be reviews. The data can range from reviews of a small product to a big multinational corporation. The goal of performing sentiment analysis is to extract information from those …

Crocodiles, Sharks And Turtles: The Urban Geo-Palaeontological Heritage Of Cagliari (Italy), Daniel Zoboli, Marco Pistis, Gabriela M. Afrasine, Giancarlo Nonnoi, Gian Luigi Pillola

Articles

In this paper, we report on the first project on the promotion of urban geoheritage in Cagliari, the capital of the Autonomous Region of Sardinia (Italy). We briefly address the history of geo-palaeontological research in the city area and outline the main phases of development in the history of Cagliari’s geo-palaeontological museum. Geotourism is an efficient method of bringing geosciences to a wider audience. For this project, we compiled a geoitinerary of the main lithotypes and fossils present within the urban territory. Miocene lithotypes are the most important materials in the edification of the Cagliari’s old town, and in the …

Strain-, Curvature- And Twist-Independent Temperature Sensor Based On A Small Air Core Hollow Core Fiber Structure, Dejun Liu, Wei Li, Qiang Wu, Fengzi Ling, Ke Tian, Changyu Shen, Fangfang Wei, Gerald Farrell, Yuliya Semenova, Pengfei Wang

Articles

Cross-sensitivity (crosstalk) to multiple parameters is a serious but common issue for most sensors and can significantly decrease the usefulness and detection accuracy of sensors. In this work, a high sensitivity temperature sensor based on a small air core (10 µm) hollow core fiber (SACHCF) structure is proposed. Co-excitation of both anti-resonant reflecting optical waveguide (ARROW) and Mach-Zehnder interferometer (MZI) guiding mechanisms in transmission are demonstrated. It is found that the strain sensitivity of the proposed SACHCF structure is decreased over one order of magnitude when a double phase condition (destructive condition of MZI and resonant condition of ARROW) is …

Feature Augmentation For Improved Topic Modeling Of Youtube Lecture Videos Using Latent Dirichlet Allocation, Nakul Srikumar

Dissertations

Application of Topic Models in text mining of educational data and more specifically, the text data obtained from lecture videos, is an area of research which is largely unexplored yet holds great potential. This work seeks to find empirical evidence for an improvement in Topic Modeling by pre- extracting bigram tokens and adding them as additional features in the Latent Dirichlet Allocation (LDA) algorithm, a widely-recognized topic modeling technique. The dataset considered for analysis is a collection of transcripts of video lectures on Machine Learning scraped from YouTube. Using the cosine similarity distance measure as a metric, the experiment showed …

Human Age And Gender Classification Using Convolutional Neural Networks, Eamon Kelliher

Dissertations

In a world relying ever more on human classification, this papers aims to improve on age and gender image classification through the use of Convolutional Neural Networks (CNN). Age and gender classification has become a popular area of study in the past number of years however there are still improvements to be made, particularly in the area of age classification. This research paper aims to test the currently accepted fact that CNN models are the superior model type for image classification by comparing CNN performance against Support Vector Machine performance on the same dataset. Using the Adience image classification dataset, …

Evaluating The Performance Of Transformer Architecture Over Attention Architecture On Image Captioning, Deepti Balasubramaniam

Dissertations

Over the last few decades computer vision and Natural Language processing has shown tremendous improvement in different tasks such as image captioning, video captioning, machine translation etc using deep learning models. However, there were not much researches related to image captioning based on transformers and how it outperforms other models that were implemented for image captioning. In this study will be designing a simple encoder-decoder model, attention model and transformer model for image captioning using Flickr8K dataset where will be discussing about the hyperparameters of the model, type of pre-trained model used and how long the model has been trained. …

Finetuning Bert And Xlnet For Sentiment Analysis Of Stock Market Tweets Using Mixout And Dropout Regularization, Shubham Jangir

Dissertations

Sentiment analysis is also known as Opinion mining or emotional mining which aims to identify the way in which sentiments are expressed in text and written data. Sentiment analysis combines different study areas such as Natural Language Processing (NLP), Data Mining, and Text Mining, and is quickly becoming a key concern for businesses and organizations, especially as online commerce data is being used for analysis. Twitter is also becoming a popular microblogging and social networking platform today for information among people as they contribute their opinions, thoughts, and attitudes on social media platforms over the years. Because of the large …

Covid-19 Prediction Using Lstm Algorithm: Gcc Case Study, Kareem Kamal A. Ghany, Hossam Zawbaa, Heba M. Sabri

Articles

Coronavirus-19 (COVID-19) is the black swan of 2020. Still, the human response to restrain the virus is also creating massive ripples through different systems, such as health, economy, education, and tourism. This paper focuses on research and applying Artificial Intelligence (AI) algorithms to predict COVID-19 propagation using the available time-series data and study the effect of the quality of life, the number of tests performed, and the awareness of citizens on the virus in the Gulf Cooperation Council (GCC) countries at the Gulf area. So we focused on cases in the Kingdom of Saudi Arabia (KSA), United Arab of Emirates …

The North Sky And The Otherworld: Journeys Of The Dead In The Neolithic Considered, Frank Prendergast

Book/Book Chapter

The majority of Irish passage tombs (c. 230) predominantly date to the Middle Neolithic (c. 3600–3000 BC). A small number of summit cairns may also contain passage tombs because of their round form, proximity and intervisibility. The island’s passage tombs and related cairns share distinguishing characteristics – elevated siting, visibility and long-range views of distant horizons in varying directions of the compass. This chapter presents the findings of the first scenic analysis of the horizon and views at these sites recorded at an island scale. The method uses measured orientations of horizon sectors related to observed variation in horizon range. …

To What Extent Can Innovative International Project Delivery Strategies (Which Leverage Bim) Improve The Cost Certainty Of Large Complex Public Procurement Projects In The Context Of Irish Public Procurement?, Bim Tudublin, Roqaya Abouklaib

Capstone Reports

Cost overrun is one of the biggest issues in the construction sector, and cost certainty is one of the main aims of the public construction sector in Ireland. Studies have shown that multi-disciplinary collaboration will benefit a construction project throughout its lifecycle. BIM, Lean, and IPD are independent methodologies that encourage collaborative work, and there are existent effective synergies among these concepts. The synergetic innovative international strategies were utilised for delivering large complex projects successfully globally, and many authors have studied large complex public projects that have adopted innovative international project delivery strategies collaboratively and have shown that the cost …

Opportunities In The Irish Reinforced Concrete Industry For Lean And Bim Adoption, Bim Tudublin, Kieran Mcconnell

Capstone Reports

The Irish Reinforced Concrete (RC) sector has yet to realise the full potential of Building Information Modelling (BIM) and Lean construction. The positive impacts and benefits of both BIM and Lean in the wider Architecture, Engineering and Construction sector are widely recognised; many of these are transferable to the RC sector, but there is limited research and knowledge on practical transference, uses and advantages. This research aims to fill some of the existing knowledge gaps by examining BIM and Lean adoption and awareness in the Irish RC sector across sub-sectors, professions, and organisational levels, and by exploring opportunities for increasing …

A Critical Examination Of Visual Programming And Generative Design For The Compliance Checking Of Open Plan Office Layouts Against Hse Guidelines Post Covid-19., Bim Tudublin, Ronan Byrne

Capstone Reports

The purpose of this study is to explore the feasibility of Visual Programming (VP) and Generative Design (GD) in assisting employers review open plan office layouts against Ireland’s HSE guidelines implemented in May 2020 in response to Covid-19. The pandemic has affected all areas of life with workplace standards requiring a complete overhaul. This study will attempt to ascertain compliance with natural ventilation and social distancing requirements through the completion of an experimental research study, utilising Computational Design (CD) tools. A GD study will be undertaken to provide the designer with numerous office layout design solutions to evaluate and evolve. …

To What Extent Can Lean Construction Processes And Principles Be Utilised In The Design Stage Of A Bim Project In The Irish Design And Construction Industry, Bim Tudublin, Barry Sheramn

Capstone Reports

Although different in many ways, Building Information Modelling (BIM) and Lean Construction are two processes that are having a significant impact on the Design & Construction Industry. In recent years, the Irish AECO industry has seen a tenfold increase across numerous construction disciplines with the adoption of new workflows and processes centred around both BIM and Lean methodologies. Existing literature identifies a strong synergistic relationship between the two processes and highlights the opportunity for Lean processes and principles to be implemented into the design stage workflow. This paper investigated existing literature relating to several lean processes currently implemented in the …