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Full-Text Articles in Engineering

Development And Characterisation Of High Surface Energy Microstructured Sol-Gel Coatings For Sensing Applications, Emma Machugh Nov 2019

Development And Characterisation Of High Surface Energy Microstructured Sol-Gel Coatings For Sensing Applications, Emma Machugh

Doctoral

This study investigates the development of high surface energy photoreactive organic inorganic hybrid sol-gel coatings for the microstructuration of high-resolution microfluidic platforms and optofluidic biosensor platforms by standard photolithography processes. To achieve this, the first step of our work consisted of identifying the fundamental physico chemical processes governing the structuration and surface properties of hybrid organic inorganic sol-gel coatings. For this purpose, a reference material based on the combination of an organosilane (3-Methacryloxypropytrimethoxysilane, MAPTMS) and a transition metal (zirconium propoxide, ZPO), was firstly developed and characterised. It was highlighted that chemical, physical and combined physical and chemical processes can be …


Visualising The Complex Features Of Source Code, Ivan Bacher Feb 2019

Visualising The Complex Features Of Source Code, Ivan Bacher

Doctoral

Software development is a complex undertaking composed of several activities that include reading, writing, and modifying source code. Indeed, previous studies have shown that the majority of the effort invested in software development is dedicated to understanding code. This includes understanding the static structure, dynamic behaviour, and evolution of the code. Given these particular characteristics, as well as the high complexity of source code, it is reasonable to consider how visualisation can facilitate source code understanding. This work proposes to extend existing software development tools with visualisations that can be used to encode the various complex features within a source …


Introducing The Default Effect: Reducing The Gap Between Theoretical Prediction And Actual Energy Consumed By Dwellings Through Characterising Data More Representative Of National Dwellings Stocks, Ciara Ahern Feb 2019

Introducing The Default Effect: Reducing The Gap Between Theoretical Prediction And Actual Energy Consumed By Dwellings Through Characterising Data More Representative Of National Dwellings Stocks, Ciara Ahern

Doctoral

Dwelling stock models that include the renovation status of the dwelling stock enable energy analyses of the stock. Using Ireland’s predominant single‐family housing typology as a case study dwelling, the overarching objective of this research is to define a transparent generalisable methodology to create a stock model from a large empirical Energy Performance Certification (EPC) database, employing reference dwellings (RDs) defined using a ‘bottom‐up’ approach. RDs are to be reported in compliance with Regulation No. (EU) 244/2012. The generalisable methodology defined allows for the development of stock models from EPC datasets. Where obtaining the required data would be prohibitively costly, …


Phase Resolved Partial Discharge Evaluation At Dc Voltage, Tobias Dezenzo Jan 2019

Phase Resolved Partial Discharge Evaluation At Dc Voltage, Tobias Dezenzo

Doctoral

Partial discharge diagnostics are common for the condition assessment of high voltage alternating current (ac) and direct current (dc) equipment. For ac applications the phase resolved partial discharge evaluation method has prevailed [1]. Even though, numerous methods for dc partial discharge diagnostics have been proposed no agreed standard exists. This is primarily because of the fact that these methods are not as easily applicable as the well-known, intuitive, pattern based phase resolved method. Due to the often assumed unavailability of a useable phase angle information [2]–[4] this method has never been transferred to dc partial discharge diagnostics. However, as a …


Public Private Partnership (Ppp): Sustainability In The Context Of Ppp Educational Building Projects, Renuka Rajput Jan 2019

Public Private Partnership (Ppp): Sustainability In The Context Of Ppp Educational Building Projects, Renuka Rajput

Doctoral

This PhD research focuses on and examines the relationship between PPP procurement and sustainability and further aims to establish whether PPP projects can be sustainable with regards to social, enviornmnetal and economic sustainability. The scope of the research is primarily confined to the implementation of construction related sustainability practices within PPPs. It introduces various PPP concepts and critiques the underlying principles for the utilisation of PPP in education sector. This discussion leads to the identification of the core factors common to Sustainability and PPPs and the challenges facing the public and private partners in implementing sustainability in its entirety. In …


Distance,Time And Terms In First Story Detection, Fei Wang Jan 2019

Distance,Time And Terms In First Story Detection, Fei Wang

Doctoral

First Story Detection (FSD) is an important application of online novelty detection within Natural Language Processing (NLP). Given a stream of documents, or stories, about news events in a chronological order, the goal of FSD is to identify the very first story for each event. While a variety of NLP techniques have been applied to the task, FSD remains challenging because it is still not clear what is the most crucial factor in defining the “story novelty”. Giventhesechallenges,thethesisaddressedinthisdissertationisthat the notion of novelty in FSD is multi-dimensional. To address this, the work presented has adopted a three dimensional analysis of the …


Music Information Retrieval For Irish Traditional Music Automatic Analysis Of Harmonic, Rhythmic, And Melodic Features For Efficient Key-Invariant Tune Recognition, Pierre Beauguitte Jan 2019

Music Information Retrieval For Irish Traditional Music Automatic Analysis Of Harmonic, Rhythmic, And Melodic Features For Efficient Key-Invariant Tune Recognition, Pierre Beauguitte

Doctoral

Music making and listening practices increasingly rely on techno logy,and,asaconsequence,techniquesdevelopedinmusicinformation retrieval (MIR) research are more readily available to end users, in par ticular via online tools and smartphone apps. However, the majority of MIRresearchfocusesonWesternpopandclassicalmusic,andthusdoes not address specificities of other musical idioms. Irishtraditionalmusic(ITM)ispopularacrosstheglobe,withregular sessionsorganisedonallcontinents. ITMisadistinctivemusicalidiom, particularly in terms of heterophony and modality, and these character istics can constitute challenges for existing MIR algorithms. The bene fitsofdevelopingMIRmethodsspecificallytailoredtoITMisevidenced by Tunepal, a query-by-playing tool that has become popular among ITM practitioners since its release in 2009. As of today, Tunepal is the state of the art for tune recognition in ITM. The research in …


Investigation Into Photovoltaic Distributed Generation Penetration In The Low Voltage Distribution Network, Shivananda Pukhrem Jan 2019

Investigation Into Photovoltaic Distributed Generation Penetration In The Low Voltage Distribution Network, Shivananda Pukhrem

Doctoral

Significant integration of photovoltaic distributed generation (PVDG) in the low voltage distribution network (LVDN) could potentially pose threats and challenges to the core activity of distribution system operators (DSO), which is to transport electrical energy in a reliable and cost-effective way. The main aim of this research is to investigate the active planning and operation of LVDNs with increased PVDG integration through steady state power system analysis. To address the impacts of voltage profile fluctuation due to power flow modification, this research proposes a probabilistic risk assessment of power quality (PQ) variations and events that may arise due to significant …


Real-Time Sound Source Separation For Music Applications, Dan Barry Jan 2019

Real-Time Sound Source Separation For Music Applications, Dan Barry

Doctoral

Sound source separation refers to the task of extracting individual sound sources from some number of mixtures of those sound sources. In this thesis, a novel sound source separation algorithm for musical applications is presented. It leverages the fact that the vast majority of commercially recorded music since the 1950s has been mixed down for two channel reproduction, more commonly known as stereo. The algorithm presented in Chapter 3 in this thesis requires no prior knowledge or learning and performs the task of separation based purely on azimuth discrimination within the stereo field. The algorithm exploits the use of the …