Computer Engineering Commons^™

Tcd-Voip, A Research Database Of Degraded Speech For Assessing Quality In Voip Applications, Andrew Hines, Naomi Harte, Eoin Gillen

Conference papers

There are many types of degradation which can occur in Voice over IP calls. Degradations which occur independently of the codec, hardware, or network in use are the focus of this paper. The development of new quality metrics for modern communication systems depends heavily on the availability of suitable test and development data with subjective quality scores. A new dataset of VoIP degradations (TCD-VoIP) has been created and is presented in this paper. The dataset contains speech samples with a range of common VoIP degradations, and the corresponding set of subjective opinion scores from 24 listeners The dataset is publicly …

Measuring And Monitoring Speech Quality For Voice Over Ip With Polqa, Visqol And P.563, Andrew Hines, Eoin Gillen, Naomi Harte

Conference papers

There are many types of degradation which can occur in Voice over IP (VoIP) calls. Of interest in this work are degradations which occur independently of the codec, hardware or network in use. Specifically, their effect on the subjective and objec- tive quality of the speech is examined. Since no dataset suit- able for this purpose exists, a new dataset (TCD-VoIP) has been created and has been made publicly available. The dataset con- tains speech clips suffering from a range of common call qual- ity degradations, as well as a set of subjective opinion scores on the clips from 24 …

Integration Of Qos Metrics, Rules And Semantic Uplift For Advanced Iptv Monitoring, Ruairí De Fréin, Cristian Olariu, Yuqian Song, Rob Brennan, Patrick Mcdonagh, Adriana Hava, Christina Thorpe, John Murphy, Liam Murphy, Paul French

Articles

Increasing and variable traffic demands due to triple play services pose significant Internet Protocol Television (IPTV) resource management challenges for service providers. Managing subscriber expectations via consolidated IPTV quality reporting will play a crucial role in guaranteeing return-on-investment for players in the increasingly competitive IPTV delivery ecosystem. We propose a fault diagnosis and problem isolation solution that addresses the IPTV monitoring challenge and recommends problem-specific remedial action. IPTV delivery-specific metrics are collected at various points in the delivery topology, the residential gateway and the Digital Subscriber Line Access Multiplexer through to the video Head-End. They are then pre-processed using new …

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

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

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 …

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 …

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 …

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

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

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

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.

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.

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 …

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.

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

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 …

An Autonomous Channel Selection Algorithm For Wlans, Fuhu Deng

Doctoral

IEEE 802.11 wireless devices need to select a channel in order to transmit their packets. However, as a result of the contention-based nature of the IEEE 802.11 CSMA/CA MAC mechanism, the capacity experienced by a station is not fixed. When a station cannot win a sufficient number of transmission opportunities to satisfy its traffic load, it will become saturated. If the saturation condition persists, more and more packets are stored in the transmit queue and congestion occurs. Congestion leads to high packet delay and may ultimately result in catastrophic packet loss when the transmit queue’s capacity is exceeded. In this …

An Adaptive Packet Aggregation Algorithm (Aam) For Wireless Networks, Jianhua Deng

Doctoral

Packet aggregation algorithms are used to improve the throughput performance by combining a number of packets into a single transmission unit in order to reduce the overhead associated with each transmission within a packet-based communications network. However, the throughput improvement is also accompanied by a delay increase. The biggest drawback of a significant number of the proposed packet aggregation algorithms is that they tend to only optimize a single metric, i.e. either to maximize throughput or to minimize delay. They do not permit an optimal trade-off between maximizing throughput and minimizing delay. Therefore, these algorithms cannot achieve the optimal network …

Judging Emotion From Low-Pass Filtered Naturalistic Emotional Speech, John Snel, Charlie Cullen

Conference papers

In speech, low frequency regions play a significant role in paralinguistic communication such as the conveyance of emotion or mood. The extent to which lower frequencies signify or contribute to affective speech is still an area for investigation. To investigate paralinguistic cues, and remove interference from linguistic cues, researchers can low-pass filter the speech signal on the assumption that certain acoustic cues characterizing affect are still discernible. Low-pass filtering is a practical technique to investigate paralinguistic phenomena, and is used here to investigate the inference of naturalistic emotional speech. This paper investigates how listeners perceive the level of Activation, and …

Adaptive Ofdm For Wireless Interconnect In Confined Enclosures, Vit Sipal, Javier Gelabert, Christopher J. Stevens, Ben Allen, David Edwards

Articles

This letter considers and recommends OFDM with adaptive subcarrier modulation as a suitable candidate for wireless UWB communication in computer chassis. A rigorous measurement campaign studies the guaranteed spectral efficiency. It concludes that enhancement of the existing WiMedia OFDM systems with a bandwidth of 528 MHz in order to support adaptive OFDM would enable data-rates above 1 Gbps over short ranges, i.e. the spectral efficiency would be doubled. Moreover, the guaranteed spectral efficiency is shown to increase with bandwidth, i.e. the guaranteed data-rate increases better than linearly with bandwidth.

A Performance Analysis Of Ws-* (Soap) And Restful Web Services For Implementing Service And Resource Orientated Architectures, Philip Markey, Gary Clynch

Conference Papers

The past number of years have seen the emergence of Service-Oriented Architectures as a dominant architecture for implementing enterprise scale distributed systems. Two main styles of SOA exist, namely SOAP based services and RESTful services. There has been much comment and debate on the pros and cons of each approach to implementing a SOA, a lot of which has surrounded the performance characterictcs of both approaches. In this paper, the authors presents the results of a performance analysis that was conducted on a set of test SOA scenarios implemented using both SOAP and RESTful approaches; in particular the caching capabilities …

Exploring Spatial Business Data: A Roa Based Ecampus Application, Thanh Thoa Pham Thi, Linh Truong- Hong, Junjun Yin, James Carswell

Conference papers

In "Smart" environments development, providing users with search utilities for interacting efficiently with web and wireless devices is a key goal. At smaller scales, Google Maps and Google Earth with satellite and street views have helped users for querying general information at specific locations. However, at larger local scales, where detailed 3D geometries linked to business data are needed, there is a recognized lack of related information and functionality for in depth exploration of an area. Linking spatial data and business data helps to enrich the user experience by fulfilling more task specific user needs. This paper presents an eCampus …

Using Grounded Theory To Develop A Framework For Software Testing Best Practice In A Telecommunications Company, David Hendrick

Dissertations

Software testing is a key part of the software development process, irrespective of the development methodology being followed. Estimates suggest that testing can account for more than 50% of the cost of a software development project. However, the cost of inadequate testing or verifying software can be far greater; this can result in losses that could total more than 10% of an organisation’s turnover. It is clear that software testing is essential; but while many companies implement different forms of testing, there is often no structure or best practice followed to this testing. There appears to be a gap in …

Applying Data Visualisations To Open New Perspectives In Birdwatching, Frank Kendlin

Dissertations

Advances in data analytics for big data have affected many different domains and are providing new insights from these data for their respective communities. One such community is conservation science. A part of section of this community, ornithologists and bird conservationists has at its disposal millions of volunteers willing to contribute to a new ‘big’ data set. This can be achieved by means of new technology and the use of citizen science. This is already underway in North America through the excellent work of the Cornell Laboratory of Ornithology (CLO). This institute has harnessed the technology and the people and …

A Window Of Opportunity: Assessing Behavioural Scoring, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany, Michael O'Sullivan, Neil Watson

Articles

After credit has been granted, lenders use behavioural scoring to assess the likelihood of default occurring during some specific outcome period. This assessment is based on customers’ repayment performance over a given fixed period. Often the outcome period and fixed performance period are arbitrarily selected, causing instability in making predictions. Behavioural scoring has failed to receive the same attention from researchers as application scoring. The bias for application scoring research can be attributed, in part, to the large volume of data required for behavioural scoring studies. Furthermore, the commercial sensitivities associated with such a large pool of customer data often …

Retaining The People Who Know Your Business Exploring Knowledge Sharing As A Tool To Improve Employee Retention In The Hotel Sector, Vincent Mckenna

Dissertations

The retention of core workers in the hotel/hospitality sector is a key challenge for human resource management, organisational strategies and operational effectiveness. The purpose of this research was to investigate and evaluate the impact of the introduction of knowledge sharing tools/techniques and change in work practice on the retention attitudes of knowledge workers in two context specific environments. Problems relating to the retention of knowledge workers are not confined to Ireland and are shown in this project to be a global phenomenon.

This research project is based on a knowledge audit of core knowledge workers/assets in two context specific environments …

Expecting The Unexpected : Measuring Uncertainties In Mobile Robot Path Planning In Dynamic Envionments, Yan Li, Brian Mac Namee, John D. Kelleher

Conference papers

Unexpected obstacles pose significant challenges to mobile robot navigation. In this paper we investigate how, based on the assumption that unexpected obstacles really follow patterns that can be exploited, a mobile robot can learn the locations within an environment that are likely to contain obstacles, and so plan optimal paths by avoiding these locations in subsequent navigation tasks. We propose the DUNC (Dynamically Updating Navigational Confidence) method to do this. We evaluate the performance of the DUNC method by comparing it with existing methods in a large number of randomly generated simulated test environments. our evaluations show that, by learning …

Robustness Of Speech Quality Metrics To Background Noise And Network Degradations: Comparing Visqol, Pesq And Polqa, Andrew Hines, Naomi Harte, Jan Skoglund, Anil Kokaram

Conference papers

The Virtual Speech Quality Objective Listener (ViSQOL) is a new objective speech quality model. It is a signal based full reference metric that uses a spectro-temporal measure of similarity between a reference and a test speech signal. ViSQOL aims to predict the overall quality of experience for the end listener whether the cause of speech quality degradation is due to ambient noise, or transmission channel degradations. This paper describes the algorithm and tests the model using two speech corpora: NOIZEUS and E4. The NOIZEUS corpus contains speech under a variety of background noise types, speech enhancement methods, and SNR levels. …