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Full-Text Articles in Computer Engineering

A Bandwidth Aware Modification To The Dsr Routing Protocol For Wireless Mesh Networks, Mustafa Ramadhan, Mark Davis Dec 2009

A Bandwidth Aware Modification To The Dsr Routing Protocol For Wireless Mesh Networks, Mustafa Ramadhan, Mark Davis

Conference papers

This work proposes a bandwidth aware cross-layer modification to the DSR routing protocol. We include the Access Efficiency Factor (AEF) parameter in addition to the hop-count in the routing discovery mechanism. AEF is a measure to the local availability of bandwidth at a node. Employing the AEF as a metric in the routing discovery mechanism attempts to avoid routing through a congested area in the network. In this modification, we impose a limit on the hop-count in order to control the delay time in the network. The path selection procedure operates by finding a path with the highest minimum AEF …


Self-Authentication Of Audio Signals By Chirp Coding, Jonathan Blackledge, Eugene Coyle Sep 2009

Self-Authentication Of Audio Signals By Chirp Coding, Jonathan Blackledge, Eugene Coyle

Conference papers

This paper discusses a new approach to ‘watermarking’ digital signals using linear frequency modulated or ‘chirp’ coding. The principles underlying this approach are based on the use of a matched filter to provide a reconstruction of a chirped code that is uniquely robust in the case of signals with very low signal-to-noise ratios. Chirp coding for authenticating data is generic in the sense that it can be used for a range of data types and applications (the authentication of speech and audio signals, for example). The theoretical and computational aspects of the matched filter and the properties of a chirp …


Learning Without Default: A Study Of One-Class Classification And The Low-Default Portfolio Problem, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany Aug 2009

Learning Without Default: A Study Of One-Class Classification And The Low-Default Portfolio Problem, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany

Conference papers

This paper asks at what level of class imbalance one-class classifiers outperform two-class classifiers in credit scoring problems in which class imbalance, referred to as the low-default portfolio problem, is a serious issue. The question is answered by comparing the performance of a variety of one-class and two-class classifiers on a selection of credit scoring datasets as the class imbalance is manipulated. We also include random oversampling as this is one of the most common approaches to addressing class imbalance. This study analyses the suitability and performance of recognised two-class classifiers and one-class classifiers. Based on our study we conclude …


Reusable, Interactive, Multilingual Online Avatars, Charlie Cullen, Carl Goodman, Paula Mcgloin, Anna Deegan Jan 2009

Reusable, Interactive, Multilingual Online Avatars, Charlie Cullen, Carl Goodman, Paula Mcgloin, Anna Deegan

Conference papers

This paper details a system for delivering reusable, interactive multilingual avatars in online children’s games. The development of these avatars is based on the concept of an intelligent media object that can be repurposed across different productions. The system is both language and character independent, allowing content to be reused in a variety of contexts and locales. In the current implementation, the user is provided with an interactive animated robot character that can be dressed with a range of body parts chosen by the user in real-time. The robot character reacts to each selection of a new part in a …


Corpvis: An Online Emotional Speech Corpora Visualisation Interface, Charlie Cullen, Brian Vaughan Jan 2009

Corpvis: An Online Emotional Speech Corpora Visualisation Interface, Charlie Cullen, Brian Vaughan

Conference papers

Our research in emotional speech analysis has led to the construction of several dedicated high quality, online corpora of natural emotional speech assets. The requirements for querying, retrieval and organization of assets based on both their metadata descriptors and their analysis data led to the construction of a suitable interface for data visualization and corpus management. The CorpVis interface is intended to assist collaborative work between several speech research groups working with us in this area, allowing online collaboration and distribution of assets to be performed. This paper details the current CorpVis interface into our corpora, and the work performed …


Cross-Disciplinary Approaches For Developing Serious Games In Higher Education: Frameworks For Food Safety And Environmental Health Education, Pauline Rooney, K.C. O'Rourke, Greg Burke, Brian Mac Namee, Claudia Igbrude Jan 2009

Cross-Disciplinary Approaches For Developing Serious Games In Higher Education: Frameworks For Food Safety And Environmental Health Education, Pauline Rooney, K.C. O'Rourke, Greg Burke, Brian Mac Namee, Claudia Igbrude

Conference papers

While some educators have adopted commercial off the-shelf games for use in the classroom, such games may not always meet the individual requirements of lecturers whose courses are tied to specific learning utcomes. An alternative is to capitalise on in-house expertise in Higher Education and create serious games through cross-disciplinary team projects. This paper outlines such a project within one Higher Education institution. It describes synergies created across disciplines as a result of the collaboration on game design and implementation. It looks at tensions generated between the pedagogical requirements (of lecturers), entertainment objectives (of games designers) and technical excellence (sought …


An Enhanced Data Mining Life Cycle, Markus Hofmann, Brendan Tierney Jan 2009

An Enhanced Data Mining Life Cycle, Markus Hofmann, Brendan Tierney

Conference papers

Data mining projects are complex and can have a high failure rate. In order to improve project management and success rates of such projects a life cycle is vital to the overall success of the project. This paper reports on a research project that was concerned with the life cycle development for data mining projects, its team members and their role. The paper provides a detailed view of the design and development of the data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic …


Measurement Of Phonemic Degradation In Sensorineural Hearing Loss Using A Computational Model Of The Auditory Periphery, Andrew Hines, Naomi Harte Jan 2009

Measurement Of Phonemic Degradation In Sensorineural Hearing Loss Using A Computational Model Of The Auditory Periphery, Andrew Hines, Naomi Harte

Conference papers

A computational model of the auditory periphery enables faster investigation of new signal processing algorithms for hearing aids. This paper presents a study of the degradation of auditory nerve (AN) responses at a phonetic level for a range of sensorineural hearing losses. The AN model of Zilany & Bruce was used to compute responses to a diverse set of phoneme rich sentences from the TIMIT database. The characteristics of both the average discharge rate and spike timing of the responses are discussed. The experiments demonstrate that the model responses are consistent with respect to impairment and inaudible thresholds.


Error Metrics For Impaired Auditory Nerve Responses Of Different Phoneme Groups, Andrew Hines, Naomi Harte Jan 2009

Error Metrics For Impaired Auditory Nerve Responses Of Different Phoneme Groups, Andrew Hines, Naomi Harte

Conference papers

An auditory nerve model allows faster investigation of new signal processing algorithms for hearing aids. This paper presents a study of the degradation of auditory nerve (AN) responses at a phonetic level for a range of sensorineural hearing losses and flat audiograms. The AN model of Zilany & Bruce was used to compute responses to a diverse set of phoneme rich sentences from the TIMIT database. The characteristics of both the average discharge rate and spike timing of the responses are discussed. The experiments demonstrate that a mean absolute error metric provides a useful measure of average discharge rates but …


Compensating For Expressiveness In Queries To A Content Based Music Information Retrieval System, Bryan Duggan, Brendan O'Shea, Mikel Gainza, Padraig Cunningham Jan 2009

Compensating For Expressiveness In Queries To A Content Based Music Information Retrieval System, Bryan Duggan, Brendan O'Shea, Mikel Gainza, Padraig Cunningham

Conference papers

MATT2 is a content based music information retrieval system adapted to the characteristics of traditional Irish dance music. MATT2 compensates for expressive artefacts commonly employed by traditional musicians. Specifically these are ornamentation, "the long note", reversing and phrasing. In this paper we describe the main components of MATT2 and present an experiment where we demonstrate that using this higher level knowledge of melodic similarity in traditional Irish dance music results in a significant improvement in annotation accuracy over standard approaches from the MIR literature.