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Stabilisation of a dredged marine sediment: geotechnical and contaminant leaching properties
(Civil Engineering Research in Ireland CERI, 2018-08-29)In this paper, contaminated sediment dredged from a commercial harbour in Ireland was stabilized using Ordinary Portland cement (OPC) alone and in combination with Ground Granulated Blast Furnace Slag (GGBS). The engineering ... -
Blackpool South Strategy project: analysis of pipe-jacking records
(Civil Engineering Research in Ireland CERI, 2018-08-29)In recent years, there has been an increased resort to microtunnelling/pipe-jacking as a means of constructing underground conduits (for water, sewage, gas and other utilities) to avoid on-street disruption in urban areas. ... -
Laboratory Push-In Resistance Tests (PIRT) in a cement-stabilised pseudo-fibrous peat
(Civil Engineering Research in Ireland CERI, 2018-08-29)Deep dry soil mixing (DDSM) is a form of ground improvement in which dry binders are injected and mixed in situ, forming individual columns, rows or interlocking panels, thereby improving the geotechnical characteristics ... -
Simulation of turbulent flow in a rapid compression machine: Large Eddy Simulation and computationally efficient alternatives for the design of ignition delay time experiments
(Elsevier, 2018-07-05)Rapid compression machines (RCMs) are widely used by the fuel research community to provide engine-relevant conditions to study ignition delay time (IDT), which is a crucial target for validating chemical kinetic mechanisms ... -
A model for surface tension in the finite volume particle method without parasitic current
(NUI Galway, 2018-06-26)A surface tension model has been developed in the finite volume particle method (FVPM). Surface tension force is applied only on free-surface particles, which are inexpensively and robustly detected using the FVPM ... -
Particle transport velocity correction for complex boundaries in the Finite Volume Particle Method
(NUI Galway, 2018-06-26)Particle methods such as smoothed particle hydrodynamics (SPH) and the finite volume particle method (FVPM) can suffer from strongly non-uniform and anisotropic particle distributions when purely Lagrangian particle ... -
RDF dataset profiling – a survey of features, methods, vocabularies and applications
(IOS Press, 2018-07-12)The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF ... -
Classification applied to brain haemorrhage detection: Initial phantom studies using electrical impedance measurements
(EIT2018, 2018-06-11)Machine learning and classification algorithms are applied to data collected from an EIT system. The system is used with an anatomically accurate head phantom setup in a variety of situations modelling normal and haemorrhagic ... -
Electrical impedance tomography with exploitation of symmetry
(Bioengineering in Ireland 2018, 2018-01-26)Electrical Impedance Tomography (EIT) is an imaging technique involving an electrode array positioned around the area of interest. Alternating current is injected, and voltage measured, between electrode pairs in a prescribed ... -
A novel tissue-mimicking material for phantom development in medical applications of EIT
(EIT2017, 2017-06-21)A solid Tissue-Mimicking Material (TMM) with adjustable conductivity properties, which can be matched to those of biological tissue, is presented. TMM models of breast fat and gland matching the conductivity of real tissue ... -
Brain haemorrhage detection using a SVM classifier with electrical impedance tomography measurement frames
(Public Library of Science, 2018-07-12)Brain haemorrhages often require urgent treatment with a consequent need for quick and accurate diagnosis. Therefore, in this study, we investigate Support Vector Machine (SVM) classifiers for detecting brain haemorrhages ... -
Symmetry difference electrical impedance tomography-a novel modality for anomaly detection
(IOP Publishing, 2018-04-26)Objective: The theoretical basis, experimental implementation, and proof of concept of a novel electrical impedance tomography (EIT) imaging technique, called symmetry difference EIT, is described. This technique is ... -
Stable tissue-mimicking materials and an anatomically realistic, adjustable head phantom for electrical impedance tomography
(IOP Publishing, 2017-11-27)Objective. To develop dielectrically accurate, easy to mould solid tissue-mimicking materials (TMMs) for use with electrical impedance tomography (EIT) and combine them into a head phantom with realistic anatomy and ... -
Anatomically and dielectrically realistic microwave head phantom with circulation and reconfigurable lesions
(The Electromagnetics Academy, 2017)Phantoms provide valuable test platforms for developing medical devices. Solid materials in particular allow fabrication of stable and robust models. This paper presents a novel, anatomically realistic, multi-layered head ... -
Gamma band neural stimulation in humans and the promise of a new modality to prevent and treat Alzheimer's disease
(IOS Press, 2018-07-19)Existing treatments for Alzheimer s Disease have questionable efficacy with a need for research into new and more effective therapies to both treat and possibly prevent the condition. This review examines a novel therapeutic ... -
Online social and business networking communities
(IUP Publications, 2007)[No abstract available] -
Trust models for community aware identity management
(IUP Publications, 2008)[No abstract available] -
Integrating tagging into the web of data: Overview and combination of existing tag ontologies
(Taiwan Academic Network, 2011-07)As the number of social websites offering tagging facilities increases, tagging has become not only a common basis for user participation, but also an important aspect of social content. Tagging is primarily based on the ... -
Getting more from your datasets: Data augmentation, annotation and generative techniques
(XPERI Inc., 2018-05-18)Deep Learning for embedded vision requires large datasets. Indeed the more varied training data is, the more accurate the trained network. But, acquiring and accurately annotating datasets costs time and money. This talk ... -
Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – example methodologies and use cases
(XPERI Inc., 2018-05-23)Deep neural networks (DNNs) are typically trained on specific datasets, optimized with particular discriminating capabilities. Often several different DNN topologies are developed solving closely related aspects of a ...