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Articles 1 - 15 of 15
Full-Text Articles in Computer Engineering
A Complex Social Network Analyses Of Online Finanical Communties In Times Of Geopolitcal Military And Terrorist Events, James Usher
Dissertations
Given the advances in technology the field of social network analysis has very much hit the forefront in recent years. The information age harnesses the use of social network analysis for multiple industries and for solving complex problems. Social network analysis is an important tool in the world of the military and counter intelligence, whether it’s the capture of Osama Bin Laden or uncovering hidden Al Qaeda terrorist networks, the world around us is built on networks, be that hidden or otherwise. Online social networks give new information in the world of intelligence agencies similarly online financial communities such as …
Predicting Professional Golfer Performance Using Proprietary Pga Tour “Shotlink” Data, Brian Leahy
Predicting Professional Golfer Performance Using Proprietary Pga Tour “Shotlink” Data, Brian Leahy
Dissertations
It can cost a minimum of $110,000 a year for a professional golfer to compete on the PGA Tour. For the successful golfers who earn millions every year, this is not a problem. For those lower ranked golfers, it is a problem. This is due to the fact that almost half the golfers who compete in any one PGA Tour tournament will not get paid, because they have missed the dreaded cut. When a golfer begins to consistently miss the cut, they can come under financial pressure which may manifest itself into poor further tournament performances. This dissertation attempts to …
The Impact Of Fuzzy Requirements On Medical Device Software Development, Martin Mchugh, Abder-Rahman Ali, Fergal Mccaffery
The Impact Of Fuzzy Requirements On Medical Device Software Development, Martin Mchugh, Abder-Rahman Ali, Fergal Mccaffery
Conference papers
Any software development project can experience difficulties with unclear or vague requirements. Unfortunately, this problem can be experience two fold in regulated environments such as the medical device software development industry. In the medical device software development industry, development organisations must contend with vague or “fuzzy” both the customer and regulatory bodies. As new requirements are introduced they can have a knock on effect on other requirements. These requirements should be analysed to determine if they are conflicting, cooperative, mutually exclusive and irrelevant. Only when the requirement is classified can a clear method be established as how to integrate that …
Predicting Mortgage Arrears: An Investigation Into The Predictive Capability Of Customer Spending Patterns, Jamie Roche
Predicting Mortgage Arrears: An Investigation Into The Predictive Capability Of Customer Spending Patterns, Jamie Roche
Dissertations
The management of credit risk and mortgage arrears has become a very important area in financial services and banking. This dissertation set out to build a statistical model, which incorporates customer spending habits and the current equity value of a property, capable of predicting arrears. Current literature identifies many themes such as negative equity and unemployment that are common occurring factors in mortgage arrears but a multi-faceted approach was required to build a model capable of accurately predicting arrears. Property equity values were included in the model by taking the current outstanding value of the loans and using a property …
The Mpt Assessment Deployed Via Digital Mobile Application, Niall Duffy
The Mpt Assessment Deployed Via Digital Mobile Application, Niall Duffy
Dissertations
This project will look at the area of the Matching Person and Technology assessment (MPT). This project will be to develop a version of the MPT that can be deployed as a mobile application. The key research being performed in this project will be the analysis of the results given on the mobile application when compared to those given via the traditional paper method. The MPT is a very large assessment; because of this there are a number of different specific assessments like workplace and education assessments (Cook, A.M. and Hussey, S. 2001). Because of the size of the assessment …
Bringing Knowledge To Imbedded Collaboration Tools Within An Irish Financial Services It Department, Anthony Daly
Bringing Knowledge To Imbedded Collaboration Tools Within An Irish Financial Services It Department, Anthony Daly
Dissertations
The field of organisational knowledge management attempts to define and identify work practices and the use of technologies which provide an organisation with sustained competitive advantage. This research presents findings from analysis carried out in an Irish financial services organisation. The organisation has no defined knowledge management strategy yet as this research will indicate that this firm can be classified as a Knowledge-Intensive Organisation. Many of the desired attributes of a knowledge management strategy and characteristics for a knowledge management system can be found within the organisations technology and cultural structures. This project, having reviewed the established literature which defines …
Cloud-Based Storage Applications For Smart Phones: Forensic Investigation Of Cloud Storage Applications, Radoslaw Ochrymowicz
Cloud-Based Storage Applications For Smart Phones: Forensic Investigation Of Cloud Storage Applications, Radoslaw Ochrymowicz
Dissertations
The proliferation of smart phones across the globe, development of 4G network standards and its progressing implementation along with shift towards cloud computing bring risks to smart phone users who avail of these service. Security of cloud storage mobile applications should be essential to smart phone users. Enterprises’ move to huge data centres and availing of their infrastructure, platform and service is an advantage but poses a risk. Users use corporate resources managed and administered with security in mind of policy makers but it is still possible to use unsecure, designed for users services without business being aware of it. …
A Framework For The Analysis And User-Driven Evaluation Of Trust On The Semantic Web, Peter Clarke
A Framework For The Analysis And User-Driven Evaluation Of Trust On The Semantic Web, Peter Clarke
Dissertations
This project will examine the area of trust on the Semantic Web and develop a framework for publishing and verifying trusted Linked Data. Linked Data describes a method of publishing structured data, automatically readable by computers, which can linked to other heterogeneous data with the purpose of becoming more useful. Trust plays a significant role in the adoption of new technologies and even more so in a sphere with such vast amounts of publicly-created data. Trust is paramount to the effective sharing and communication of tacit knowledge (Hislop, 2013). Up to now, the area of trust in Linked Data has …
Is Vehicle Characterization In Accordance With Standard Test Procedures A Necessary Prerequisite For Validating Computer Models Of A Test Vehicle?, Michael Hall
Masters
Vehicle characterization is the process by which a particular vehicle’s inherent dynamic behavior is classified by measuring its response to certain command inputs under standard test conditions. Such information is required when comparing its performance to that of other vehicles in response to the same test event and it is also used to authenticate computer models of the test vehicle. The aim of this research was to determine whether vehicle characterization is possible using data from non- standard tests and to judge whether such data can also be used for the purpose of validating a computer model of the test …
New Insights On Free Energies And Saint-Venant’S Principle In Viscoelasticity, L. Diseri, G. Gentili, John Murrough Golden
New Insights On Free Energies And Saint-Venant’S Principle In Viscoelasticity, L. Diseri, G. Gentili, John Murrough Golden
Articles
This work was conceived in 1999 and brought near completion by 2003. Giorgio Gentili was deeply involved in this research until his untimely death. He is greatly missed. Work pressures on the other authors forced a postponement of research on this topic, originally envisaged as lasting a few months but in the event it turned out to be nearly ten years. We now dedicate this work to the memory of Giorgio and to his Family.
Building A Database Of Political Speech Does Culture Matter In Charisma Annotations?, Andrew Hines, Ailbhe Cullen, Naomi Harte
Building A Database Of Political Speech Does Culture Matter In Charisma Annotations?, Andrew Hines, Ailbhe Cullen, Naomi Harte
Conference papers
For both individual politicians and political parties the in- ternet has become a vital tool for self-promotion and the distribution of ideas. The rise of streaming has enabled po- litical debates and speeches to reach global audiences. In this paper, we explore the nature of charisma in political speech, with a view to automatic detection. To this end, we have collected a new database of political speech from YouTube and other on-line resources. Annotation is per- formed both by native listeners, and Amazon Mechanical Turk (AMT) workers. Detailed analysis shows that both la- bel sets are equally reliable. The results …
Perception Based Misunderstandings In Human-Computer Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Perception Based Misunderstandings In Human-Computer Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Articles
In a situated dialogue, misunderstandings may arise if the participants perceive or interpret the environment in different ways. In human-computer dialogue this may be due the sensor errors. We present an experiment system and a series of experiments in which we investigate this problem.
Robustness And Prediction Accuracy Of Machine Learning For Objective Visual Quality Assessment, Andrew Hines, Paul Kendrick, Adriaan Barri, Manish Narwaria, Judith A. Redi
Robustness And Prediction Accuracy Of Machine Learning For Objective Visual Quality Assessment, Andrew Hines, Paul Kendrick, Adriaan Barri, Manish Narwaria, Judith A. Redi
Conference papers
Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. Nevertheless, the reliability of ML-based techniques within objective quality assessment metrics is often questioned. In this study, the robustness of ML in supporting objective quality assessment is investigated, specifically when the feature set adopted for prediction is suboptimal. A Principal Component Regression based algorithm and a Feed Forward Neural Network are compared when pooling the Structural Similarity Index (SSIM) features perturbed with noise. The neural network adapts better with …
Perceived Audio Quality For Streaming Stereo Music, Andrew Hines, Eoin Gillen, Naomi Harte, Damien Kelly, Jan Skoglund, Anil Kokaram
Perceived Audio Quality For Streaming Stereo Music, Andrew Hines, Eoin Gillen, Naomi Harte, Damien Kelly, Jan Skoglund, Anil Kokaram
Conference papers
Users of audio-visual streaming services expect an ever increasing quality of experience. Channel bandwidth remains a bottleneck commonly addressed with lossy compression schemes for both the video and audio streams. Anecdotal evidence suggests a strongly perceived link between bit rate and quality. This paper presents three audio quality listening experiments using the ITU MUSHRA methodology to assess a number of audio codecs typically used by streaming services. They were assessed for a range of bit rates using three presentation modes: consumer and studio qual- ity headphones and loudspeakers. Our results indicate that with consumer quality headphones, listeners were not differentiating …
Clarification Dialogues For Perception-Based Errors In Situated Human-Computer Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Clarification Dialogues For Perception-Based Errors In Situated Human-Computer Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Conference papers
We present an experiment about situated human-computer interaction. Participants interacted with a simulated robot system to complete a series of tasks in a situated environment. Errors were introduced into the robot's perception to produce misunderstandings. We recorded the interactions and attempt to identify strategies the participants used to solve the arising problems.