Statistical Models Of Domestic And Sme Daily Gas Consumption - Applications To Gas Network Planning And Management, Ronan Oliver

Doctoral

This research is centred on three pillars of EU energy policy that aim to improve: 1) energy efficiency, in order to reduce CO2 emissions and therefore limit climate change; 2) security of energy supplies, in order to protect economic output and vulnerable citizens in extreme weather; and 3) market integration, in order to increase energy supplier competition and consumer choice in each member state. To help deliver on these policies, the EU has recently mandated that: 1) gas smartmeters are to be provided to consumers to help improve energy efficiency; 2) network operators ensure adequate gas supplies during extreme cold …

Activist: A New Framework For Dataset Labelling, Jack O'Neill, Sarah Jane Delany, Brian Mac Namee

Conference papers

Acquiring labels for large datasets can be a costly and time-consuming process. This has motivated the development of the semi-supervised learning problem domain, which makes use of unlabelled data — in conjunction with a small amount of labelled data — to infer the correct labels of a partially labelled dataset. Active Learning is one of the most successful approaches to semi-supervised learning, and has been shown to reduce the cost and time taken to produce a fully labelled dataset. In this paper we present Activist; a free, online, state-of-the-art platform which leverages active learning techniques to improve the efficiency of …

Construction Professional Service Firm Management: A Longitudinal Study Of Strategic Planning In Irish Quantity Surveying Practices, Roisin Murphy

Conference papers

This paper reports on the ongoing investigation of strategic planning in Irish Quantity Surveying practices. The construction industry in Ireland has undergone a period of significant change in the last five years fuelling a shift in focus from tactical to strategic planning in professional service firms operating within the sector. A previous paper identified the type, scope and extent of strategic planning within Quantity Surveying (QS) practices in Ireland in the years up to and during the economic downturn. The current paper expands on the previous research by identifying changes in approach to strategic management within these professional service firms …

Empirical Comparative Analysis Of 1-Of-K Coding And K-Prototypes In Categorical Clustering, Fei Wang, Hector Franco, John Pugh, Robert J. Ross

Conference papers

Clustering is a fundamental machine learning application, which partitions data into homogeneous groups. K-means and its variants are the most widely used class of clustering algorithms today. However, the original k-means algorithm can only be applied to numeric data. For categorical data, the data has to be converted into numeric data through 1-of-K coding which itself causes many problems. K-prototypes, another clustering algorithm that originates from the k-means algorithm, can handle categorical data by adopting a different notion of distance. In this paper, we systematically compare these two methods through an experimental analysis. Our analysis shows that K-prototypes is more …

Support Vector Machines And Artificial Neural Networks: Assessing The Validity Of Using Technical Features For Security Forecasting, James Di Padua

Dissertations

Stock forecasting is an enticing and well studied problem in both finance and machine learning literature with linear based models such as ARIMA and ARCH to nonlinear Artificial Neural Networks (ANN) and Support Vector Machines (SVM). However, these forecasting techniques also use very different input features, some of which are seen by economists as irrational and theoretically unjustified. In this comparative study using ANNs and SVMs for 12 publicly traded companies, derivative price “technicals” are evaluated against macro and microeconomic fundamentals to evaluate the efficacy of model performance. Despite the efficient market hypothesis positing the ill suitability of technicals as …

A Regression Study Of Salary Determinants In Indian Job Markets For Entry Level Engineering Graduates, Rajveer Singh

Dissertations

The economic liberalisation of Indian markets in early 90s boosted the economic growth of the nation in various sectors over the next two decades. One such sector that has seen a massive growth in this time is Information Technology (IT). The IT industry has played a very crucial role in transforming India from a slow moving economy to one of the largest exporters of IT services. This growth created a huge demand in the labour markets for skilled labour, which in turn made engineering one of the top choices of study after high school over the years. In addition, the …

Using Spatialisation To Support Exploratory Search Behaviour, Clement Roux

Dissertations

Information-seekers traditionally interact with digital content through keyword-based search interfaces displaying results in list views. Well-defined lookup search tasks are performed brilliantly with these interfaces, enabling users to find relevant information and develop a relative understanding of the underlying information space. However, it is feasible to suggest that ill-defined and abstract search tasks could be better supported with a different interface that could allow the user to explore a library’s content and develop an appropriate mental model of the information space. One such approach is based on the use of visualisation, an approach to data analysis that aims to reduce …

Investigating The Impact Of Unsupervised Feature-Extraction From Multi-Wavelength Image Data For Photometric Classification Of Stars, Galaxies And Qsos, Annika Lindh

Dissertations

This thesis reviews the current state of photometric classification in Astronomy and identifies two main gaps: a dependence on handcrafted rules, and a lack of interpretability in the more successful classifiers. To address this, Deep Learning and Computer Vision were used to create a more interpretable model, using unsupervised training to reduce human bias.

The main contribution is the investigation into the impact of using unsupervised feature-extraction from multi-wavelength image data for the classification task. The feature-extraction is achieved by implementing an unsupervised Deep Belief Network to extract lower-dimensionality features from the multi-wavelength image data captured by the Sloan Digital …

An Exploration Of The Impact Of Animal Agriculture On Human Sustainable Development Index And The Child Health Indicator, Hithesan Pandian

Dissertations

Several studies have shown that animal agriculture is one of the major contributors to climate change due to greenhouse gas emissions, deforestation, land degradation, freshwater shortages, general environmental pollution and world hunger. Apart from this, meat consumption is strongly associated with certain fatal health conditions such as cancer, cardiovascular disease and diabetes (Wu, 2014). Although meat production and export could be economically beneficial in the short run, it could lead to over-exploitation of natural resources and in turn the destruction of the environment in the long run. Hence, it is essential for the leaders of a nation to make smart …

Form, Function Or Fiction: Gender And Diversity In Engineering Programmes In Ireland, Domhnall Sheridan, Una Beagon, Eabhnat Ni Fhloinn

Conference papers

Messe agus Pangur Bán, cechtar nathar fria shaindán: bíth a menmasam fri seilgg, mu menma céin im shaincheirdd.

I and Pangur Bán, my cat 'Tis a like task we are at; Hunting mice is his delight Hunting words I sit all night.

The poem Pangur Bán [1] was written by an unknown Irish monk in the Benedictine Abbey of Reichenau, in southern Germany in the ninth century. The Abbey, founded in 724 by Saint Pirim, was a centre of learning in Europe for many centuries, reaching its apex under Abbot Berno of Reichenau (1008–48). The Christian church was the sole …

Model-Free And Model-Based Active Learning For Regression, Jack O'Neill, Sarah Jane Delany, Brian Macnamee

Conference papers

Training machine learning models often requires large labelled datasets, which can be both expensive and time-consuming to obtain. Active learning aims to selectively choose which data is labelled in order to minimize the total number of labels required to train an effective model. This paper compares model-free and model-based approaches to active learning for regression, finding that model-free approaches, in addition to being less computationally intensive to implement, are more effective in improving the performance of linear regressions than model-based alternatives.

Short Term Forecasting Of Nitrogen Dioxide (No2) Levels Using A Hybrid Statistical And Air Mass History Modelling Approach, Aoife Donnelly, Owen Naughton, Brian Broderick, Bruce Misstear

Articles

A novel hybrid model has been developed to support the provision of real-time air quality forecasts. Statistical techniques have been applied in parallel with airmass history modelling to provide an efficient and accurate forecasting system with the ability to identify high NO2 events, which tend to be the episodes ofmost significance in Ireland. Airmass history modelling and k-means clustering are used to identify air mass types that lead to high NO2 levels in Ireland. Trajectory matching techniques allow data associated with these air masses to be partitioned during model development. Non-parametric regression (NPR) has been applied to describe nonlinear variations …

Optical Wavelength Ratiometric Monitoring System For Data Centre Cwdm Applications, Anthony Colohan, Thomas Freir, Derek Finlay

Conference papers

The development of the internet and the subsequent increase in the quantity of connected devices in recent years has given rise to an explosion in demand of data traffic across telecommunication networks. Converged networks deliver high speed bit rates for the purpose of streaming videos, downloading music files and communicating over the internet; voice over internet protocol (VOIP). Further additional data traffic growth stemming from the upsurge in the amount of ‘tweets’ and instant messages (IM) created as well as emails written and cloud storage, has led to a demand for the construction of much larger data centres, which …

Energy Managment Of Photovoltaic Charging Station (Pv-Cs) For Green University Campus Transportation, Ayda Esfandyari, Brian Norton, Michael Conlon, Sarah Mccormack

Conference Papers

Battery Electric Vehicles (BEVs) have been recognised as the ideal solution for lowering the CO₂ emissions in the transport sector and helping to achieve a sustainable future. When BEV technology is leveraged with a solar energy source such as a Photovoltaic Charging Station (PV-CS), the CO₂ saving potential is extended to both generation and consumption points. Due to the intermittent nature of our solar resource, once the PV-CS is combined with a storage unit, energy production is achieved without risking the disruption to power supply reliability and quality. Technological University Dublin (DIT) has recognised the viability of this …

The Economic Boom, Bust And Transport Inequity In Suburban Dublin, Ireland, Sarah Rock, Aoife Ahern, Brian Caulfield

Articles

This paper examines the existence and extent of transport inequity and disadvantage in new suburbs in Dublin, built during the Celtic Tiger period and as experienced during the recession. Findings are presented from a household postal survey from three case study areas built between 2001 and 2008. The case study areas are typical 'middle class' suburbs, and were constructed at a time when Ireland was experiencing unprecedented economic growth. The subsequent recession left many of these areas in significant negative equity, and householders with very limited housing mobility. Results from the survey point to considerable problems that are impacting on …

Technological Assessment Of Different Solar-Biomass Systems For Hybrid Power Generation In Europe, C. M. Iftekhar Hussain, Brian Norton, Aidan Duffy

Articles

Solar Tower thermal (ST), Parabolic Trough thermal (PT), Linear Fresnel thermal (LF) and Solar PV are discussed in the context of suitability for hybridization with biomass in Europe. Technical, economical and climate data have been compared to identify the key drivers of technology selection in setting up large scale solar-biomass hybrid power plants. The sole solar-biomass hybrid power plant is currently in operation in Spain uses PT technology due to its performance characteristics, comparatively easy installation process compared to ST and relatively higher heat and optical gain than LF. The climate condition in the EU shows that the region within …

A Time For Change” An Evaluation Of The Ability Of The Quantity Surveyor To Measure Mechanical And Electrical Services Under The Irish Public Works Contracts (Designed By The Employer) Using The Agreed Rules Of Measurement., Charles Mitchell

Other Resources

Abstract

This dissertation seeks to examine the ability of the quantity surveyor to measure mechanical and electrical bills of quantities under the Irish Public Works Contracts using the Agreed Rules of Measurement 4. The study uses the opinions and perspectives of a broad range of industry stakeholders to identify barriers and drivers which will facilitate this change.

A mixed methodology research method incorporating both quantitative and qualitative research methods was used. A literature review covers relevant research in the field of the Public Works Contracts, the use of bills of quantities and specialist sub-contractors. The results of an unreported survey …

Bicp Global Bim Study, Barry Mcauley, Alan Hore, Roger West

Articles

The BICP is a direct response to the 2014 Construction 2020 report calling on Enterprise Ireland to work with industry organisations to promote the use of BIM and develop the appropriate technical skills amongst Irish construction firms so that they can successfully compete in markets where BIM is widely adopted or a requirement. There are four distinct work packages to achieve the strategic objectives of the BICP which include amongst other things a systematic review of BIM adoption in international regions, with particular focus on the enablers to support national implementation programmes. This study focused on exploring the value proposition …

Bs News September/October

Building Services Engineering

No abstract provided.

The Feasibility Of Utilising Compressed Natural Gas As Part Of A Systematic Approach To Establishing The Necessary Groundwork For The Hydrogen Based Transport Economy, James Brunton, John Howlett, David Kennedy

Conference Papers

One key objective for vehicle manufacturers is to develop technology and infrastructure to facilitate the progression from combustion to conversion by the year 2050. In the short to medium term however, the combustion of fossil fuels such as petrol and diesel, coupled with advanced transmission innovations and emission control technology that are governed by strict Euro VI regulations appears to be the main path forward for the transport sector and the environment. This paper presents the feasibility of utilising the developing compressed natural gas network capabilities as part of a systematic approach to establishing the necessary groundwork for a hydrogen …

Activist: A New Framework For Dataset Labelling, Jack O'Neill, Sarah Jane Delany, Brian Macnamee

Conference papers

Acquiring labels for large datasets can be a costly and time-consuming process. This has motivated the development of the semi-supervised learning problem domain, which makes use of unlabelled data — in conjunction with a small amount of labelled data — to infer the correct labels of a partially labelled dataset. Active Learning is one of the most successful approaches to semi-supervised learning, and has been shown to reduce the cost and time taken to produce a fully labelled dataset. In this paper we present Activist; a free, online, state-of-the-art platform which leverages active learning techniques to improve the efficiency …

Mechanical And Thermal Evaluation Of Different Types Of Pcm-Concrete Composite Panels, Dervilla Niall, Oliver Kinnane, Roger West, Sarah Mccormack

Conference papers

ABSTRACT: Thermal mass indicates the ability of a material to store and release heat and is a function of the heat storage capacity of a material. The thermal mass of construction materials can be used to reduce the energy required for heating and cooling buildings. The heat storage capacity of concrete can be increased by incorporating phase change materials (PCMs) into the concrete and hence providing additional latent heat storage capacity. Research was carried out to compare the thermal behaviour of two different types of PCM/concrete composite panels. The first type of panel was formed by adding microencapsulated paraffin to …

Lifelong Housing Design: User Feedback Evaluation Of Smart Objects And Accessible Houses For Healthy Ageing, Matteo Zallio, Niccolò Casiddu

Conference Papers

According to the latest research by the European Community and ISTAT (Italian National Institute of Statistics) surveys, Europe has the highest average age for its population. According to those data, in the near future, it could be necessary to move from a welfare model based on the centralization of care systems, to a system based on the distribution of certain healthcare facilities [1]. This means that the ageing population is ever increasing, thanks to better lifestyles, innovative medical care and wider access to different services. This work seeks to observe and analyse key implications of architectural and interior design features …

Bs News July/August

Building Services Engineering

No abstract provided.

Research Note: On The Magnitude Of Error In The Calculation Of Mean Room Surface Exitance, James Duff

Articles

Two formulae currently exist for calculating mean room surface exitance. This research note explains and demonstrates that one of these formulae is erroneous under certain conditions and stresses that the alternative expression should generally be used for computing mean room surface exitance.

Why I Don't Weld In Computer Labs, Mark Deegan

Level 3

Until very recently, like many people in DIT, I had never even seen a welding laboratory. To listen to me now, you’d swear I was raised with a welding torch in my hand. That’s not the case, but when I moved jobs in September 2015, I discovered that DIT runs evening courses in welding, so I decided to sign up. Way back, when I was in college, the greatest threat to life-and-limb was either an alcoholinduced idiot injury, or at worst, the risk of burning myself with a soldering Iron. They get pretty hot, sometimes as hot as 215°C. That …

Modelling And Energy Management Optimisation Of Battery Energy Storage System Based Photovoltaic Charging Station (Pv-Cs) For University Campus, Ayda Esfandyari, Brian Norton, Michael Conlon

Conference Papers

As utilization of Photovoltaic Charging Stations (PV-CS) that generate clean electricity from the sun increase, Technological University Dublin (DIT) adopts this application for accommodating the required charge of small campus Battery Electric Vehicles (BEVs). This paper presents the virtual simulation of the 10.5 kW Battery Energy Storage System (BESS) based PV-CS model. Transient System Simulation (TRNSYS) built-in climatic data and modular structure properties were adopted to replicate the experimentally proposed PV-CS, where special attention was paid to the electrical measurments and energy flow signals. The objective was set to model the PV-CS system, formulate an energy managment optimisation and justify …

Developing Appropriate Educational Modules Aimed At Industry - An Example From Surveying At Masters Level, Audrey Martin

Articles

This paper describes the process from inception to completion of developing academic modules appropriate for upgrading survey professionals engaged in the public sector. It focuses on one such module continuing professional development module in ‘Gravity and Height’ for National Mapping, developed by the Technological University Dublin Spatial Information Sciences Group for the National Mapping Agency, Ordnance Survey Ireland (OSi) and staff from similar organisations.

Bitrate Classification Of Twice-Encoded Audio Using Objective Quality Features, Colm Sloan, Damien Kelly, Naomi Harte, Anil C. Kokaram, Andrew Hines

Conference papers

When a user uploads audio files to a music stream- ing service, these files are subsequently re-encoded to lower bitrates to target different devices, e.g. low bitrate for mobile. To save time and bandwidth uploading files, some users encode their original files using a lossy codec. The metadata for these files cannot always be trusted as users might have encoded their files more than once. Determining the lowest bitrate of the files allows the streaming service to skip the process of encoding the files to bitrates higher than that of the uploaded files, saving on processing and storage space. This …

Biodegradable Magnesium Alloys For Orthopaedic Applications: A Review On Corrosion, Biocompatibility And Surface Modifications., Sankalp Agarwal, James Curtin, Brendan Duffy, Swarna Jaiswal

Articles

Magnesium (Mg) and its alloys have been extensively explored as potential biodegradable implant materials for orthopaedic applications (e.g. Fracture fixation). However, the rapid corrosion of Mg based alloys in physiological conditions has delayed their introduction for therapeutic applications to date. The present review focuses on corrosion, biocompatibility and surface modifications of biodegradable Mg alloys for orthopaedic applications. Initially, the corrosion behaviour of Mg alloys and the effect of alloying elements on corrosion and biocompatibility is discussed. Furthermore, the influence of polymeric deposit coatings, namely sol-gel, synthetic aliphatic polyesters and natural polymers on corrosion and biological performance of Mg and its …