Now showing items 1-20 of 102

  • Smartphones, biometrics, and a brave new world 

    Corcoran, Peter; Costache, Claudia (Institute of Electrical and Electronics Engineers (IEEE), 2016-09-09)
    In this article, we take a somewhat contrarian viewpoint - that biometrics may, in fact, offer solutions to many of today's cyber-security problems that appear with increasing frequency in prime-time news. This outcome ...
  • Smart augmentation learning an optimal data augmentation strategy 

    Lemley, Joseph; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2017-04-24)
    A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks. There are many techniques to address this, including ...
  • Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera 

    Bazrafkan, Shabab; Javidnia, Hossein; Lemley, Joseph; Corcoran, Peter (Society of Photo-optical Instrumentation Engineers (SPIE), 2018-08-07)
    Deep neural networks have been applied to a wide range of problems in recent years. Convolutional neural network is applied to the problem of determining the depth from a single camera image (monocular depth). Eight different ...
  • Unconstrained palmprint as a smartphone biometric 

    Ungureanu, Adrian-Stefan; Thavalengal, Shejin; Cognard, Timothée E.; Costache, Claudia; Corcoran, Peter (IEEE, 2017-11-13)
    In this work the use of palmprints as an alternative biometric for smartphones is investigated and its feasibility is evaluated across multiple devices using unconstrained acquisition. A novel multi-device database that ...
  • Pushing the AI envelope: merging deep networks to accelerate edge artificial intelligence in consumer electronics devices and systems 

    Bazrafkan, Shabab; Corcoran, Peter (IEEE, 2018-02-08)
    Deep neural networks (DNNs) are widely used by both academic and industry researchers to solve many long-standing problems in machine learning. There has been such a growth of research in this field, and it has been applied ...
  • Application of preconditioned alternating direction method of multipliers in depth from focal stack 

    Javidnia, Hossein; Corcoran, Peter (Society of Photo-optical Instrumentation Engineers (SPIE), 2018-04-06)
    Postcapture refocusing effect in smartphone cameras is achievable using focal stacks. However, the accuracy of this effect is totally dependent on the combination of the depth layers in the stack. The accuracy of the ...
  • Total variation-based dense depth from multicamera array 

    Javidnia, Hossein; Corcoran, Peter (Society of Photo-optical Instrumentation Engineers (SPIE), 2018-05-20)
    Multicamera arrays are increasingly employed in both consumer and industrial applications, and various passive techniques are documented to estimate depth from such camera arrays. Current depth estimation methods provide ...
  • RDF dataset profiling – a survey of features, methods, vocabularies and applications 

    Ellefi, Mohamed Ben; Bellahsene, Zohra; Breslin, John G.; Demidova, Elena; Dietze, Stefan; Szymanski, Julian; Todorov, Konstantin (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 ...
  • Brain haemorrhage detection using a SVM classifier with electrical impedance tomography measurement frames 

    McDermott, Barry; O'Halloran, Martin; Porter, Emily; Santorelli, Adam (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 

    McDermott, Barry; Porter, Emily; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (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 

    McDermott, Barry; McGinley, Brian; Krukiewicz, Katarzyna; Divilly, Brendan; Jones, Marggie; Biggs, Manus; O'Halloran, Martin; Porter, Emily (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 

    McDermott, Barry; Porter, Emily; Santorelli, Adam; Divilly, Brendan; Morris, Liam; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (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 

    McDermott, Barry; Porter, Emily; Hughes, Diarmaid; McAuley, Brian; Lang, Mark; O'Halloran, Martin; Jones, Marggie (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 ...
  • Integrating tagging into the web of data: Overview and combination of existing tag ontologies 

    Kim, Hak-Lae; Scerri, Simon; Passant, Alexandre; Breslin, John G.; Handschuh, Siegfried; Decker, Stefan; Kim, Hong-Gee (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 ...
  • Multi-nodal short-term energy forecasting using smart meter data 

    Hayes, Barry P.; Gruber, Jorn K.; Prodanovic, Milan (Institution of Engineering and Technology (IET), 2018-06-10)
    This paper deals with the short-term forecasting of electrical energy demands at the local level, incorporating advanced metering infrastructure (AMI), or ‘smart meter’ data. It provides a study of the effects of aggregation ...
  • A survey of reliability assessment techniques for modern distribution networks 

    Escalera, Alberto; Hayes, Barry; Prodanovic, Milan (Elsevier, 2018-04-14)
    Reliability assessment tools are of crucial importance for planning and modernisation of distribution power systems. In recent years there has been an increased deployment of renewable energy, distributed generation, energy ...
  • Handheld solutions for the retail sector 

    Coughlan, Sean; Breslin, John G. (The Institution of Engineers of Ireland, 2003-11-09)
    [No abstract available]
  • A realistic pelvic phantom for electrical impedance measurement 

    Dunne, Eoghan; McGinley, Brian; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2018-03-15)
    Objective: To design and fabricate an anatomically and conductively accurate phantom for electrical impedance studies of non-invasive bladder volume monitoring. Approach: A modular pelvic phantom was designed and fabricated, ...
  • Supervised learning classifiers for electrical impedance-based bladder state detection 

    Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O’Halloran, Martin; Porter, Emily (Nature Publishing Group, 2018-03-29)
    Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary ...
  • Towards semantically-interlinked online communities 

    Bojars, Uldis; Breslin, John G.; Harth, Andreas; Decker, Stefan (CEPIS Member Society, Asociación de Técnicos de Informática (ATI), 2005-12)
    Online community sites have replaced the traditional means of keeping a community informed via libraries and publishing. At present, online communities are islands that are not interlinked. Ontologies and Semantic Web ...