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Articles 481 - 510 of 731
Full-Text Articles in Computer Engineering
Mental Spaces: Processes For Establishing And Linking Spaces, Brian Nolan
Mental Spaces: Processes For Establishing And Linking Spaces, Brian Nolan
The ITB Journal
This paper reviews the theory of mental spaces as expounded by Fauconnier (1994). In this work he posits a theory in which reference has a structural dimension. Within the theory, this structure is represented using spaces, connectors across the spaces and some general principles that are found to apply. The complexity lies in the interaction between the principles and in the contextual structures that feed into the principles for interpretation. Brugman, in her 1996 paper, makes use of insights from mental spaces theory to conduct an analysis of HAVE-constructions. She notes that Fauconnier has “elaborated a theory of partial possible …
A Review Of Parallel Mappings For Feed Forward Neural Networks Using The Backpropagation Learning Algorithm, Stephen Sheridan
A Review Of Parallel Mappings For Feed Forward Neural Networks Using The Backpropagation Learning Algorithm, Stephen Sheridan
The ITB Journal
The Back-Propagation (BP) Neural Network (NN) is probably the most well known of all neural networks. Many mappings of the BP NN have been implemented for both special purpose and general-purpose computers. This mapping process can fall into one of two categories: heuristic mapping and algorithmic mapping. Heuristic mapping concentrates on the architecture and behaviour of the network as it trains whereas algorithmic mapping concentrates on the parallelization of the learning algorithm. Mappings in the heuristic category tend to take a trial and error approach based on the understanding of the network and of the target machine. In comparison mappings …
The Role Of Cryptography In Security For Electronic Commerce, Ann Murphy, David Murphy
The Role Of Cryptography In Security For Electronic Commerce, Ann Murphy, David Murphy
The ITB Journal
Many businesses and consumers are wary of conducting business over the Internet due to a perceived lack of security. Electronic business is subject to a variety of threats such as unauthorised access, misappropriation, alteration and destruction of both data and systems. This paper explores the major security concerns of businesses and users and describes the cryptographic techniques used to reduce such risks.
Xml For Business To Business Data Exchange, Geraldine Gray, David Kerwick
Xml For Business To Business Data Exchange, Geraldine Gray, David Kerwick
The ITB Journal
This paper examines to use of XML for business to business data exchange. Starting with creating an XML document from an existing data source and transmitting that document, we explain some of the supporting standards for XML which facilitate automated processing and transformation of an XML document. Finally we look at the advantages of using XML, and why it is expected to revolutionise electronic data interchange.
An Exploration Of The Effects Of Enhanced Compiler Error Messages For Computer Programming Novices, Brett A. Becker
An Exploration Of The Effects Of Enhanced Compiler Error Messages For Computer Programming Novices, Brett A. Becker
Theses
Computer programming is an essential skill that all computing students must master and is increasingly important in many diverse disciplines. It is also difficult to learn. One of the many challenges novice programmers face from the start are notoriously cryptic compiler error messages. These report details on errors made by students and are essential as the primary source of information used to rectify those errors. However these difficult to understand messages are often a barrier to progress and a source of discouragement. A high number of student errors, and in particular a high frequency of repeated errors – when a …
Ant Colony Clustering Routing Protocol For Optimization Of Large Scale Wireless Sensor Networks, Li Xinlu, Brian Keegan, Fredrick Japhet
Ant Colony Clustering Routing Protocol For Optimization Of Large Scale Wireless Sensor Networks, Li Xinlu, Brian Keegan, Fredrick Japhet
Conference papers
No abstract provided.
Evaluating The Usability Of The Laboratory Information System (Lis) In Coombe Hospital And Hail Hospital, Fahad Alanazi
Evaluating The Usability Of The Laboratory Information System (Lis) In Coombe Hospital And Hail Hospital, Fahad Alanazi
Dissertations
Today, with the rapid evolution of technology, there has also been a rapid development of medical software and systems in hospitals. These systems and software are now being used globally in many hospitals by users of different languages and cultures. Governments and private hospitals pay large sums of money to utilise highly efficient technology. When systems are changed or updated, employees often find it difficult to deal with the characteristics of the new systems. Also, behavioral factors, such as the fear of committing simple errors, might affect system performance and prevent the full utilization of the staff potential. In this …
An Understanding Of Student Satisfaction, Lorraine Sweeney
An Understanding Of Student Satisfaction, Lorraine Sweeney
Dissertations
Retention is a challenge for all third level institutions and retention rates remain higher than colleges would like them to be, this has intensified in recent years as participants in higher education has increased and diversified. Third level institutions which would not only benefit from increased fees but also through low cost word of mouth promotion and an enhanced reputation. As such, an important concern for colleges is retaining students and understanding the reasons why students may choose to leave a program. While student satisfaction and retention is a well researched topic there remains questions to be answered in terms …
Semantic Models As Knowledge Repositories For Data Modellers In The Financial Industry, Gary Thompson
Semantic Models As Knowledge Repositories For Data Modellers In The Financial Industry, Gary Thompson
Dissertations
Data modellers working in the financial industry are expected to use both technical and business knowledge to transform data into the information required to meet regulatory reporting requirements. This dissertation explores the role that semantic models such as ontologies and concept maps can play in the acquisition of financial and regulatory concepts by data modellers. While there is widespread use of semantic models in the financial industry to specify how information is exchanged between IT systems, there is limited use of these models as knowledge repositories. The objective of this research is to evaluate the use of a semantic model …
An Exploration Of The Use Of Gamification In Agile Software Development, Alan Mcclean
An Exploration Of The Use Of Gamification In Agile Software Development, Alan Mcclean
Dissertations
Although Project Management has existed for many millennia, software project management is relatively new. As a discipline, software project management is considered difficult. The reasons for this include that software development is non-deterministic; opaque and delivered under ever-increasing time pressure in a volatile environment. Evolving from Incremental and Iterative Development (IID), Agile methodologies have attempted to address these issues by focusing on frequent delivery; working closely with the customer; being responsive to change and preferring working software to extensive documentation. This focus on delivery rather than documentation has sometimes been misrepresented as no documentation, which has led to a shortfall …
A Novel And Domain-Specific Document Clustering And Topic Aggregation Toolset For A News Organisation, Claire Mcmahon
A Novel And Domain-Specific Document Clustering And Topic Aggregation Toolset For A News Organisation, Claire Mcmahon
Dissertations
Large collections of documents are becoming increasingly common in the news gathering industry. A review of the literature shows there is a growing interest in datadriven journalism and specifically that the journalism profession needs better tools to understand and develop actionable knowledge from large document sets. On a daily basis, journalists are tasked with searching a diverse range of document sets including news gathering services, emails, freedom of information requests, court records, government reports, press releases and many other types of generally unstructured documents. Document clustering techniques can help address problems of understanding the ever expanding quantities of documents available …
An Evaluation Of Selection Strategies For Active Learning With Regression, Jack O'Neill
An Evaluation Of Selection Strategies For Active Learning With Regression, Jack O'Neill
Dissertations
While active learning for classification problems has received considerable attention in recent years, studies on problems of regression are rare. This paper provides a systematic review of the most commonly used selection strategies for active learning within the context of linear regression. The recently developed Exploration Guided Active Learning (EGAL) algorithm, previously deployed within a classification context, is explored as a selection strategy for regression problems. Active learning is demonstrated to significantly improve the learning rate of linear regression models. Experimental results show that a purely diversity-based approach to
Decrypting Financial Markets Through E-Joint Attention Efforts: On-Line Adaptive Networks Of Investors In Periods Of Market Uncertainty, Niccolò Casnici, Pierpaolo Dondio, Roberto Casarin, Flaminio Squazzoni
Decrypting Financial Markets Through E-Joint Attention Efforts: On-Line Adaptive Networks Of Investors In Periods Of Market Uncertainty, Niccolò Casnici, Pierpaolo Dondio, Roberto Casarin, Flaminio Squazzoni
Articles
No abstract provided.
Design And Development Of Personal Geoservices For Universities, James Carswell, Andrea Ballatore, Thoa Pham, Junjun Yin, Linh Truonghong
Design And Development Of Personal Geoservices For Universities, James Carswell, Andrea Ballatore, Thoa Pham, Junjun Yin, Linh Truonghong
Books/Book chapters
Personal GeoServices are emerging as an interaction paradigm linking users to information rich environments like a university campus or to Big Data sources like the Internet of Things by delivering spatially intelligent web-services. OpenStreetMap (OSM) constitutes a valuable source of spatial base-data that can be extracted, integrated, and utilised with such heterogeneous data sources for free. In this paper, we present a Personal GeoServices application built on OSM spatial data and university-specific business data for staff, faculty, and students. While generic products such as Google Maps and Google Earth enable basic forms of spatial exploration, the domain of a university …
Eliciting Knowledge Bases With Defeasible Reasoning: A Comparative Analysis With Machine Learning, Peter Keogh
Eliciting Knowledge Bases With Defeasible Reasoning: A Comparative Analysis With Machine Learning, Peter Keogh
Dissertations
This thesis compares the ability of an implementation of Defeasible Reasoning (via Argumentation Theory) to model a construct (mental workload) with Machine Learning. In order to perform this comparison a defeasible reasoning system was designed and implemented in software. This software was used to elicit a knowledge base from an expert in an experiment which was then compared with machine learning. The central findings of this thesis were that the knowledge based approach was better at predicting an objective performance measure, time, than machine learning. However, machine learning was better equiped to identify another object measure task membership. The knowledge …
Maturity Of Cloud Application Interoperability Frameworks For Small To Medium Enterprises, John Warde
Maturity Of Cloud Application Interoperability Frameworks For Small To Medium Enterprises, John Warde
Dissertations
Cloud computing has many benefits and organisations have bought into the cost effective and elastic solutions provided by major players in the market. However, cloud computing and Cloud Service Providers (CSP) are still evolving, hence there are differences in how customers connect with each provider to the orchestrate application lifecycle management. A lack of standards can create vendor lock-in. This work investigates current research and possible solutions to the vendor lock-in problem through the use of Cloud Interoperability or multi-cloud frameworks. Software developers and organisations can use these frameworks which abstract the differences between CSPs and mitigate vendor lock-in. A …
An Evaluation Of The Use Of Diversity To Improve The Accuracy Of Predicted Ratings In Recommender Systems, Gillian Browne
An Evaluation Of The Use Of Diversity To Improve The Accuracy Of Predicted Ratings In Recommender Systems, Gillian Browne
Dissertations
The diversity; versus accuracy trade off, has become an important area of research within recommender systems as online retailers attempt to better serve their customers and gain a competitive advantage through an improved customer experience. This dissertation attempted to evaluate the use of diversity measures in predictive models as a means of improving predicted ratings. Research literature outlines a number of influencing factors such as personality, taste, mood and social networks in addition to approaches to the diversity challenge post recommendation. A number of models were applied included DecisionStump, Linear Regression, J48 Decision Tree and Naive Bayes. Various evaluation metrics …
Investigating The Relationship Between Organizational Innovation Capability And Firm Performance With Irish Smes, Maryam Bukhamsin
Investigating The Relationship Between Organizational Innovation Capability And Firm Performance With Irish Smes, Maryam Bukhamsin
Dissertations
The topic of innovation capability and its relationship with performance has been examined by several previous studies. The purpose of this thesis is to investigate the relationship between innovation capability aspects proposed by the Innovation Value Institute (IVI) and firms’ overall performance. IVI is specialised in developing organizational and innovation capability in order to improve firms’ performance. In addition, this study presents the most important aspects of innovation capability that are directly and positively associated with firms’ overall financial and operational performance. This empirical study was conducted on small- and medium-sized enterprises (SMEs) in Ireland; the data was collected from …
Multimodal Content Delivery For Geo-Services, Keith Gardiner
Multimodal Content Delivery For Geo-Services, Keith Gardiner
Doctoral
This thesis describes a body of work carried out over several research projects in the area of multimodal interaction for location-based services. Research in this area has progressed from using simulated mobile environments to demonstrate the visual modality, to the ubiquitous delivery of rich media using multimodal interfaces (geo- services). To effectively deliver these services, research focused on innovative solutions to real-world problems in a number of disciplines including geo-location, mobile spatial interaction, location-based services, rich media interfaces and auditory user interfaces. My original contributions to knowledge are made in the areas of multimodal interaction underpinned by advances in geo-location …
Investigating Correlation Between Availability Of Free Time Facilities For Pupils And Their Educational Achievements While Exploiting Linked Data And Volunteered Geographic Information, Peter Kovar
Dissertations
The advent of Semantic Web as an extension of the current World Wide Web (Web) brings methods and technologies to structure the data, interlink it with other related data and capture its semantics. This holds for new data to be published as well as for the data already on the Web. The interlinking of data led to definition of a linked data paradigm and the Semantic Web allows for creating a Global Linked Data Space. The linked data sets can combine data coming from heterogeneous sources. Using ontologies the meaning in data from different areas of interest can be compared …
Exploring The Impact That Organisational Culture And Structures Have On Knowledge Management Initiatives, Gavin Digan
Exploring The Impact That Organisational Culture And Structures Have On Knowledge Management Initiatives, Gavin Digan
Dissertations
The project builds on research in the domain of knowledge management, with a literature review covering several aspects of the domain. There is particular emphasis on knowledge management implementations within organisations. Several researchers in the area offer methodologies or strategies for organisations to adopt, when implementing knowledge management initiatives. These options are covered at length in the literature review along with real world case studies on organisations that have implemented knowledge initiatives with varying degrees of success. A key aspect of the research is assessing the impact of organisational culture on knowledge management initiatives. The literature review contains an extensive …
Can Passive Mobile Application Traffic Be Identified Using Machine Learning Techniques, Peter Holland
Can Passive Mobile Application Traffic Be Identified Using Machine Learning Techniques, Peter Holland
Dissertations
Mobile phone applications (apps) can generate background traffic when the end-user is not actively using the app. If this background traffic could be accurately identified, network operators could de-prioritise this traffic and free up network bandwidth for priority network traffic. The background app traffic should have IP packet features that could be utilised by a machine learning algorithm to identify app-generated (passive) traffic as opposed to user-generated (active) traffic. Previous research in the area of IP traffic classification focused on classifying high level network traffic types originating on a PC device. This research was concerned with classifying low level app …
Can Wikipedia Article Traffic Statistics Be Used To Verify A Technical Indicator? An Exploration Into The Correlation Between Wikipedia Article Traffic Statistics And The Coppock Technical Indicator., Cormac O'Connor
Dissertations
Recent studies have shown that, through the quantification of Wikipedia Usage Patterns as a result of information gathering, stock market moves can be predicted (Moat et al 2013). There was also research performed to determine the predictive nature of Wikipedia Data to predict movie box office success (Mestyan et al. 2013). The goal of any investor, in order to maximize the return of their investments, is to have an edge over other participants in the markets. Several tools and techniques have been used over the years to fulfil this, some proving to generate a consistent stream of income (Gillen 2012). …
An Open Source Implementation And Evaluation Of A Federated Searching Service Based On File Based Index And Relational Database Index, Alan Liu
Dissertations
One of the greatest challenges in the modern information world is the storage of data and the ability to extract usable knowledge from it, to enable enterprises to gain insight that can be leverage to succeed in the competitive environment. Data is constantly being generated and collected at a rapid pace from users and customers via many sources such as intranet, internet and other smart devices. To effectively use the collected data, knowledge must be extracted from it to allow effective and efficient business planning. While the core challenge of data analytics is to extract hidden non-trivial information form large …
An Analysis Of The Predictive Capability Of C5.0 And Chaid Decision Trees And Bayes Net In The Classification Of Fatal Traffic Accidents In The Uk, Aiden O'Connor
Dissertations
Road traffic accidents are a significant cause of deaths worldwide and there is a global focus on understanding accident contributory factors and implementing prevention strategies. Although accident statistics are steadily improving, effective prevention must be persistent, evidence based and properly resourced. This research aimed to extract fatal traffic accident prediction from UK STATS19 accident data using C5.0 and Chaid decision trees and Bayes net classification models. Data was grouped as either fatal or non-fatal. The class imbalance due to fatal accident infrequency was considered and data transformation and sampling techniques were applied to increase prediction likelihood. Chaid was used for …
Adopting Problem Based Learning In Third Level Computer Science, Martin Mchugh
Adopting Problem Based Learning In Third Level Computer Science, Martin Mchugh
Reports
It has been recognised that the traditional teaching approach of the teacher being solely a transmitter and the student being a receiver is not sufficient. This is evident when a traditional style of teaching is compared to a more hands-on approach to learning. When discussing the traditional style of teaching, Earl and Ellington (1999, p.83) describe how in this approach to learning; (current) teaching methods are almost invariably of the ‘face-to-face’ type. The whole system is generally geared towards the smooth operation of the teaching institution, with little or no attempt being made to cater for the different learning styles …
Visqol: An Objective Speech Quality Model, Andrew Hines, J. Skoglund, A. C. Kokaram, N. Harte
Visqol: An Objective Speech Quality Model, Andrew Hines, J. Skoglund, A. C. Kokaram, N. Harte
Articles
This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality Objective Listener. It is a signal-based, full-reference, intrusive metric that models human speech quality perception using a spectro-temporal measure of similarity between a reference and a test speech signal. The metric has been particularly designed to be robust for quality issues associated with Voice over IP (VoIP) transmission. This paper describes the algorithm and compares the quality predictions with the ITU-T standard metrics PESQ and POLQA for common problems in VoIP: clock drift, associated time warping, and playout delays. The results indicate that ViSQOL and POLQA significantly …
A Knowledge-Driven Distributed Architecture For Context-Aware Systems, Dennis Lupiana
A Knowledge-Driven Distributed Architecture For Context-Aware Systems, Dennis Lupiana
Doctoral
As the number of devices increases, it becomes a challenge for the users to use them effectively. This is more challenging when the majority of these devices are mobile. The users and their devices enter and leave different environments where different settings and computing needs may be required. To effectively use these devices in such environments means to constantly be aware of their whereabouts, functionalities and desirable working conditions. This is impractical and hence it is imperative to increase seamless interactions between the users and devices,and to make these devices less intrusive. To address these problems, various responsive computing systems, …
Visqolaudio: An Objective Audio Quality Metric For Low Bitrate Codecs, Andrew Hines, Eoin Gillen, Damien Kelly, Jan Skoglund, Anil Kokaram, Naomi Harte
Visqolaudio: An Objective Audio Quality Metric For Low Bitrate Codecs, Andrew Hines, Eoin Gillen, Damien Kelly, Jan Skoglund, Anil Kokaram, Naomi Harte
Articles
Streaming services seek to optimise their use of bandwidth across audio and visual channels to maximise the quality of experience for users. This letter evaluates whether objective quality metrics can predict the audio quality for music encoded at low bitrates by comparing objective predictions with results from listener tests. Three objective metrics were benchmarked: PEAQ, POLQA, and VISQOLAudio. The results demonstrate objective metrics designed for speech quality assessment have a strong potential for quality assessment of low bitrate audio codecs.
An Analysis Of The Impact Of Playout Delay Adjustments Introduced By Voip Jitter Buffers On Listening Speech Quality, Peter Počta, Hugh Melvin, Andrew Hines
An Analysis Of The Impact Of Playout Delay Adjustments Introduced By Voip Jitter Buffers On Listening Speech Quality, Peter Počta, Hugh Melvin, Andrew Hines
Articles
This paper investigates the impact of frequent and small playout delay adjustments (time-shifting) of 30 ms or less introduced to silence periods by Voice over IP (VoIP) jitter buffer strategies on listening quality perceived by the end user. In particular, the quality impact is assessed using both a subjective method (quality scores obtained from subjective listening test) and an objective method based on perceptual modelling. Two different objective methods are used, PESQ (Perceptual Evaluation of Speech Quality, ITU-T Recommendation P.862) and POLQA (Perceptual Objective Listening Quality Assessment, ITU-T Recommendation P.863). Moreover, the relative accuracy of both objective models is assessed …