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Articles 451 - 480 of 816

Full-Text Articles in Computer Sciences

An Analysis Of The Application Of Simplified Silhouette To The Evaluation Of K-Means Clustering Validity, Fei Wang, Hector-Hugo Franco-Penya, John D. Kelleher, John Pugh, Robert J. Ross Jul 2017

An Analysis Of The Application Of Simplified Silhouette To The Evaluation Of K-Means Clustering Validity, Fei Wang, Hector-Hugo Franco-Penya, John D. Kelleher, John Pugh, Robert J. Ross

Conference papers

Silhouette is one of the most popular and effective internal measures for the evaluation of clustering validity. Simplified Silhouette is a computationally simplified version of Silhouette. However, to date Simplified Silhouette has not been systematically analysed in a specific clustering algorithm. This paper analyses the application of Simplified Silhouette to the evaluation of k-means clustering validity and compares it with the k-means Cost Function and the original Silhouette from both theoretical and empirical perspectives. The theoretical analysis shows that Simplified Silhouette has a mathematical relationship with both the k-means Cost Function and the original Silhouette, while empirically, we show that …

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Back To The Future: Logic And Machine Learning, Simon Dobnik, John D. Kelleher Jun 2017

Back To The Future: Logic And Machine Learning, Simon Dobnik, John D. Kelleher

Conference papers

In this paper we argue that since the beginning of the natural language processing or computational linguistics there has been a strong connection between logic and machine learning. First of all, there is something logical about language or linguistic about logic. Secondly, we argue that rather than distinguishing between logic and machine learning, a more useful distinction is between top-down approaches and data-driven approaches. Examining some recent approaches in deep learning we argue that they incorporate both properties and this is the reason for their very successful adoption to solve several problems within language technology.

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Reflections On An Experiment, Evaluating The Impact Of Spatialisation On Exploration, Clement Roux, John Mcauley Jun 2017

Reflections On An Experiment, Evaluating The Impact Of Spatialisation On Exploration, Clement Roux, John Mcauley

Conference papers

This paper reports on an experiment designed to evaluate whether visualising a digital library (using a spatialisation technique) can influence exploratory search behaviour. In the experiment we asked participants to complete a set of novel tasks using one of two interfaces - a visualisation interface, ExploViz, and its search-based equivalent, LibSearch. A set of measures were used to capture sensemaking and exploratory behaviour and to analyse cognitive load. As results were non-significant, we reflect upon the design of the experiment, consider possible issues and suggest how these could be addressed in future iterations.

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Estimation Of Train Driver Workload: Extracting Taskload Measures From On-Train-Data-Recorders, Nora Balfe, Katie Crowley, Brendan Smith, Luca Longo Jun 2017

Estimation Of Train Driver Workload: Extracting Taskload Measures From On-Train-Data-Recorders, Nora Balfe, Katie Crowley, Brendan Smith, Luca Longo

Conference papers

This paper presents a method to extract train driver taskload from downloads of on-train-data-recorders (OTDR). OTDR are in widespread use for the purposes of condition monitoring of trains, but they may also have applications in operations monitoring and management. Evaluation of train driver workload is one such application. The paper describes the type of data held in OTDR recordings and how they can be transformed into driver actions throughout a journey. Example data from 16 commuter journeys are presented, which highlights the increased taskload during arrival at stations. Finally, the possibilities and limitations of the data are discussed.

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Convergence Technologies For Sensor Systems In The Next Generation Networks, Conor Gildea, Declan Barber Jun 2017

Convergence Technologies For Sensor Systems In The Next Generation Networks, Conor Gildea, Declan Barber

The ITB Journal

This paper describes an approach to the internetworking of sensory nodes in a converged network environment. This preliminary investigation of sensory network creation is driven by a joint applied research project which seeks to establish the feasibility of the real-time remote monitoring of animal welfare while in transit between Ireland, Europe and the Middle East. This paper examines the use of Java to create sensor services in converging architectures which leverage the Internetworking protocols and describes our implementation of such a system.

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Design Study Of A Heavy Duty Load Cell Using Finite Element Analysis: A Practical Introduction To Mechatronic Design Process, Mohamad Saleh Jun 2017

Design Study Of A Heavy Duty Load Cell Using Finite Element Analysis: A Practical Introduction To Mechatronic Design Process, Mohamad Saleh

The ITB Journal

Mechatronics design process is a series of analytical brain storming operations from sepcification to implementation. The mechtronic products are widly available in the market for various use and applications. This is expected to develop futher in the future with great competitiveness. In order to succeed in the market, mechatronic products need to satisfy the market expectations with regard to quality, fitness for purpose, customer's appeal and cost efficiency. Therefore, the design analysis techniques play a significat part in the market success of these products. Finite Element Analysis is probably the most commonly used numerical technique for mechatronic product design. This …

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Neural Networks For Real-Time Pathfinding In Computer Games, Ross Graham, Hugh Mccabe, Stephen Sheridan Jun 2017

Neural Networks For Real-Time Pathfinding In Computer Games, Ross Graham, Hugh Mccabe, Stephen Sheridan

The ITB Journal

One of the greatest challenges in the design of realistic Artificial Intelligence (Al) in computer games is agent movement. Pathfinding strategies are usually employed as the core of any AI movement system. The two main components for basic real-time pathfinding are (i) travelling towards a specified goal and (ii) avoiding dynamic and static obstacles that may litter the path to this goal. The focus of this paper is how machine learning techniques, such as Artificial Neural Networks and Genetic Algorithms, can be used to enhance an AI agent's ability to handle pathfinding in real-time by giving them an awareness of …

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Emotion Authentication: A Method For Voice Integrity Checking, C. Reynolds, L. Vasiu, M. Smith Jun 2017

Emotion Authentication: A Method For Voice Integrity Checking, C. Reynolds, L. Vasiu, M. Smith

The ITB Journal

When people communicate with telephone type systems, it is often assumed that the listener would notice any modification of the speaker's voice. It is possible however to introduce small changes that would not be noticed by a listener but could modify the reading of a Voice Stress Analyser, popularly referred to as a lie detector. Existing approaches to checking the integrity of voice require significant amounts of processing or are able to detect only non-subtle modification such as change of speaker. With the advent of real time voice modification using software and hardware based signal processing, we argue that it …

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Strengthening The Practices Of An Agile Methodology?, Jimmy Doody, Amanda O'Farrell Jun 2017

Strengthening The Practices Of An Agile Methodology?, Jimmy Doody, Amanda O'Farrell

The ITB Journal

An investigation into how the software development process in an agile environment (Extreme Programming) can be aided by intelligent software, leading to the development of a tool that will automate the process of standardising and clarifying source code. The tool will also speed up and aid the testing process, by producing test objects based on the source code, and by providing full test tracking, without having a negative impact on the development process. By making the coding and testing processes more automated, the research aims to evaluate the following hypotheses: 1. That the programmer's productivity can be increased by the …

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Camera Control Through Cinematography In 3d Computer Games, James Kneafsey, Hugh Mccabe Jun 2017

Camera Control Through Cinematography In 3d Computer Games, James Kneafsey, Hugh Mccabe

The ITB Journal

Modern 3D computer games have the potential to employ principles from cinematography in rendering the action in the game. Using principles of cinematography would take advantage of techniques that have been used to render action in cinematic films for more than a century. This paper outlines our proposal to develop a camera control system that uses principles of cinematography for 3D computer games and provides a critical review of related research.

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Architecture And Development Methodology For Location Based Services, Aaron Hand, Dr. John Cardiff Jun 2017

Architecture And Development Methodology For Location Based Services, Aaron Hand, Dr. John Cardiff

The ITB Journal

This paper presents a LBS (Location Based Service) architecture, development methodology and a development tool to assist LBS developers in building new open standard LBS applications. The approach adopted has been to define new LBS systems based on open standards rather then proprietary driven technologies. SA GESS (Spatial Application Generic Environment System Standards) is an architecture platform for the development and deployment of wireless LBS applications. SAGE (Spatial Application Generic Environment) is a development methodology that outlines a step-by-step development approach to LBS application development. A prototype LBS application was deployed on the author's SA GESS architecture platform, developed using …

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Justification Of Investment In It Systems, Aidan Farrell Jun 2017

Justification Of Investment In It Systems, Aidan Farrell

The ITB Journal

For a company, capital investment of any sort is weighed up before a decision is made to invest. It is. true that the vast majority of investments for companies can be quantified financially. Investment in Iriformation Technology (IT) and Information Systems (IS) however has proved more complex than other investments as there are ·a large amount of intangible and non-financial benefits associated with this area of expenditure. Investments are traditionally rationalised by outweighing the costs and the benefits. The indirect costs associated with the deployment of IT/IS are equally difficult to put a measure on and hence the traditional methods …

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An Evaluation Of On-Screen Keyboards For First Time Single Switch Users, Paul Ahern, Rupert Westrup Jun 2017

An Evaluation Of On-Screen Keyboards For First Time Single Switch Users, Paul Ahern, Rupert Westrup

The ITB Journal

This paper presents an evaluation of three designs for on-screen keyboard layouts for use by Single Switch Users (SSUs). SSUs are those users who have a disability which means that they are able to activate a switch into an "on" or "off'' position but are not able to locate or position a particular switch. The first keyboard layout design was alphabetically based, the second design was based upon the most frequently occurring letters in the English alphabet and the third design was the standard QWERTY layout found on most keyboards. The research shows that there is no significant difference in …

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Speech Synthesis For Pda, Peter Cahill, Fredrick Mtenzi Jun 2017

Speech Synthesis For Pda, Peter Cahill, Fredrick Mtenzi

The ITB Journal

A Text-To-Speech (TTS) synthesiser is a computer-based system that should be able to read any text aloud. This paper presents the design and implementation of a speech synthesiser for a PDA. Our implementation is based on FreeTTS by Sun Microsystems Inc. This paper focuses on the issues that arise during the development and the differences with the desktop synthesiser. We carry out detailed experiments on different platforms to show how the quality and speed of conversion varies. Our TTS implementation on a P DA, apart from being platform independent produces the same sound quality with a far less powerful processor …

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Setting Up And Mentoring In Coderdojo Dublin 15, Arnold Hensman Jun 2017

Setting Up And Mentoring In Coderdojo Dublin 15, Arnold Hensman

The ITB Journal

Initilally beginning in Ireland, CoderDojo is a non-profit organisation that has grown rapidly into a global network of community based programming clubs. Mentors teach coding skills to young people aged between 7 and 17. All classes are free of charge and clubs operate entirely on a volunteer basis. The first Dublin 15 based CoderDojo began just over two years ago and continues to thrive during weekend sessions held at The Institute of Technology Blanchardstown (ITB), which offers the use of its premises and resources for the sessions. This paper will chronicle the involvement of ITB staff and students with the …

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Tackling The Interleaving Problem In Activity Discovery, Eoin Rogers, Robert J. Ross, John D. Kelleher Jun 2017

Tackling The Interleaving Problem In Activity Discovery, Eoin Rogers, Robert J. Ross, John D. Kelleher

Conference papers

Activity discovery (AD) is the unsupervised process of discovering activities in data produced from streaming sensor networks that are recording the actions of human subjects. One major challenge for AD systems is interleaving, the tendency for people to carry out multiple activities at a time a parallel. Following on from our previous work, we continue to investigate AD in interleaved datasets, with a view towards progressing the state-of-the-art for AD.

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Robot Perception Errors And Human Resolution Strategies In Situated Human-Robot Dialogue, Niels Schütte, Brian Mac Namee, John D. Kelleher Jan 2017

Robot Perception Errors And Human Resolution Strategies In Situated Human-Robot Dialogue, Niels Schütte, Brian Mac Namee, John D. Kelleher

Articles

Errors in visual perception may cause problems in situated dialogues. We investigated this problem through an experiment in which human participants interacted through a natural language dialogue interface with a simulated robot.We introduced errors into the robot’s perception, and observed the resulting problems in the dialogues and their resolutions.We then introduced different methods for the user to request information about the robot’s understanding of the environment. We quantify the impact of perception errors on the dialogues, and investigate resolution attempts by users at a structural level and at the level of referring expressions.

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A System To Monitor Cognitive Workload In Naturalistic High-Motion Environments, Bethany K. Bracken, Seth Elkin-Frankston, Noa Palmon, Michael Farry, Blaise De B Frederick Jan 2017

A System To Monitor Cognitive Workload In Naturalistic High-Motion Environments, Bethany K. Bracken, Seth Elkin-Frankston, Noa Palmon, Michael Farry, Blaise De B Frederick

H-Workload 2017: Models and Applications (Works in Progress)

Across many careers, individuals face alternating periods of high and low attention and cognitive workload can impair cognitive function and undermine job performance. We have designed and are developing an unobtrusive system to Monitor, Extract, and Decode Indicators of Cognitive Workload (MEDIC) in naturalistic, high-motion environments. MEDIC is designed to warn individuals, teammates, or supervisors when steps should be taken to augment cognitive readiness. We first designed and manufactured a forehead sensor device that includes a custom fNIRS sensor and a three-axis accelerometer designed to be mounted on the inside of a baseball cap or headband, or standard issue gear …

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Towards A Not Obtrusive Low Cost Biosystem To Assess Risk Perception In Workplace Through Stress Detection, Emanuele Bellini, Serena Benevenuti, Chiara Batistini Jan 2017

Towards A Not Obtrusive Low Cost Biosystem To Assess Risk Perception In Workplace Through Stress Detection, Emanuele Bellini, Serena Benevenuti, Chiara Batistini

H-Workload 2017: Models and Applications (Works in Progress)

The main aim of the article is to build a method to assess risk perception in real time in order to early detect and prevent risk behaviors and possible human errors. To this end, the relation between mental workload and stress as critical factors affecting risk perception has been investigated. In particular the mental-physical activation generated by an increment of the workload has the effect of reducing the resources needed to perceive risk increasing the worker vulnerability. The complexity of the stress phenomenon suggested the adoption of an integrated view. The Functional Model has been adopted to for its holistic …

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Reducing Peak Workload In The Cockpit: A Human In The Loop Simulation Evaluating New Runway Selection Tool, Tanja Bos, Rolf Zon, Wilfred Rouwhorst Jan 2017

Reducing Peak Workload In The Cockpit: A Human In The Loop Simulation Evaluating New Runway Selection Tool, Tanja Bos, Rolf Zon, Wilfred Rouwhorst

H-Workload 2017: Models and Applications (Works in Progress)

In efforts to increase safety and reduce peak workload situations in the cockpit, a tool with a different interaction style was developed for use in case of a runway change instructed by Air Traffic Control during approach. In an experiment a workload comparison was made between the new tool and the conventional cockpit. Workload was measured by means of a self-rating after each experiment run, as well as eye blink frequency during each run. Results show that the self-rated workload decreases with the new tool for one of the two crew members and the blink frequency suggests a workload decrease …

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Review Of Trends In Health Social Media Analysis, Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff Jan 2017

Review Of Trends In Health Social Media Analysis, Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff

Conference Papers

This paper surveys recent publications (2008-2017) on using social media data to study public health. The survey describes the main topics being discussed in forums and presents short information about methods and tools used for analysis health social media. We put especial attention on adverse drug reaction detection problem (ADR).

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Adverse Drug Extraction In Twitter Data Using Convolutional Neural Network, Liliya Akhtyamova, John Cardiff, Mikhail Alexandrov Jan 2017

Adverse Drug Extraction In Twitter Data Using Convolutional Neural Network, Liliya Akhtyamova, John Cardiff, Mikhail Alexandrov

Conference Papers

The study of health-related topics on social media has become a useful tool for the early detection of the different adverse medical conditions. In particular, it concerns cases related to the treatment of mental diseases, as the effects of medications here often prove to be unpredictable. In our research, we use convolutional neural networks (CNN) with word2vec embedding to classify user comments on Twitter. The aim of the classification is to reveal adverse drug reactions of users. The results obtained are highly promising, showing the overall usefulness of neural network algorithms in this kind of tasks.

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Improving The Stealthiness Of Dns-Based Covert Communication, Stephen Sheridan, Anthony Keane Jan 2017

Improving The Stealthiness Of Dns-Based Covert Communication, Stephen Sheridan, Anthony Keane

Conference Papers

At present, the recommended stance to take regarding Cyber Security is to assume a state of compromise. With the increase in Bring Your Own Device (BYOD), the Internet of Things (IOT) and Advanced Persistent Threats (ATPs), network boundaries have become porous and difficult to defend from external threats. Modern malware is complex and adept at making its presence hard to detect. Recent studies have shown that some malware variants are capable of using multiple covert communication channels for command and control (C2) and data exfiltration activities. Examples of this level of covert communication can be found in malware that targets …

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System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung Jan 2017

System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung

H-Workload 2017: Models and Applications (Works in Progress)

Fall prevention for geriatric populations is a growing concern among clinicians and researchers due to severe risk of morbidity and loss of independence. Emerging evidence has demonstrated that mental workload while walking influences gait stability and the risk for falling. Electroencephalography (EEG) presents a potential method to provide objective measures of mental workload, particularly during daily activities. Noise introduced to the EEG signal during motion, however, is restrictive. The study presented in the following paper isolates EEG signal noise attained from gait for a commercially accessible EEG system, the "Emotiv" Time and spectral system identification techniques were applied to model …

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Online Measuring Of Available Resources, Enrique Munoz-De-Escalona, José Juan Canas Jan 2017

Online Measuring Of Available Resources, Enrique Munoz-De-Escalona, José Juan Canas

H-Workload 2017: Models and Applications (Works in Progress)

This paper present a proposal for measuring available mental resources during the accomplishment of a task. Our proposal consists in measuring emotions provoked by perceived self-efficacy in the execution of the task. Self-efficacy is one of the most important factors that affect the resources that a person puts at the disposal of the execution of the task. When a person perceives that he/she is not being effective he/she will activate more resources to improve his performance. This self-efficacy will be reflected in the emotions that the person experiences. A good efficacy will provoke positive emotions and a bad efficacy negative …

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Comparison Of Two-Pass Algorithms For Dynamic Topic Modelling Based On Matrix Decompositions, John Cardiff, Gabriella Skitalinskaya, Mikhail Alexandrov Jan 2017

Comparison Of Two-Pass Algorithms For Dynamic Topic Modelling Based On Matrix Decompositions, John Cardiff, Gabriella Skitalinskaya, Mikhail Alexandrov

Conference Papers

In this paper we present a two-pass algorithm based on different matrix decompositions, such as LSI, PCA, ICA and NMF, which allows tracking of the evolution of topics over time. The proposed dynamic topic models as output give an easily interpreted overview of topics found in a sequentially organized set of documents that does not require further processing. Each topic is presented by a user-specified number of top-terms. Such an approach to topic modeling if applied to, for example, a news article data set, can be convenient and useful for economists, sociologists, political scientists. The proposed approach allows to achieve …

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A Workload-Centered Perspective On Reduced Crew Operations In Commercial Aviation, Daniela Schmid Jan 2017

A Workload-Centered Perspective On Reduced Crew Operations In Commercial Aviation, Daniela Schmid

H-Workload 2017: Models and Applications (Works in Progress)

Mental workload of a pilot, in short workload, depends on various characteristics of different accumulated tasks on the flight deck. Exogenous task demands and endogenous supply of attentional or information processing resources determine workload [1]. Performance is expect to drop if the demand exceeds the available resources of the pilot. Expertise and experience modulate the endogenous sup- ply of resources like perceiving, updating memory, planing, making a decision, and executing and processing a response. Subsequently, workload manifests in performance variables, subjective experience, and physiological parameters [2]. This is how we can summarize workload very brie y to introduce a model …

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A Pilot Study Into Bio-Behavioural Measurements On Air Traffic Controllers In Remote Tower Operations, Tanja Bos, Rolf Zon, Eszter Furedi, Dezso Dudas, Daniel Rohacs Jan 2017

A Pilot Study Into Bio-Behavioural Measurements On Air Traffic Controllers In Remote Tower Operations, Tanja Bos, Rolf Zon, Eszter Furedi, Dezso Dudas, Daniel Rohacs

H-Workload 2017: Models and Applications (Works in Progress)

What is the impact of shifting to remote tower operations on the Air Traffic Controller? In the joint HungaroControl-Netherlands Aerospace Centre NLR pilot project an assessment of bio-behaviour on three air traffic controllers was made in a remote tower and conventional tower. The research is motivated by HungaroControl’s plans in shifting to remote tower operations at Budapest airport in the upcoming years. This pilot project is considered a feasibility study to investigate if an eye tracker and a heart rate sensor can be used to derive workload, the controllers’ division of attention over information elements, and scanning strategies in two …

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A Systems Approach To Predicting And Measuring Workload In Rail Traffic Management Systems, Joanna Evans Jan 2017

A Systems Approach To Predicting And Measuring Workload In Rail Traffic Management Systems, Joanna Evans

H-Workload 2017: Models and Applications (Works in Progress)

The introduction of systems such as Traffic Management (TM) will result in a number of changes in how the railway is managed for operations and maintenance staff such as, an increase in collaborative working styles and shared responsibilities. In order to react to these changing operational demands and user needs, TM workstation designs need to have greater flexibility and be configurable to support the information requirements for each specific role as well as support each role during different scenarios. Although this flexibility in system design has the potential to enhance performance, it increases the complexity of measuring operator workload. The …

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Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis] Jan 2017

Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis]

Doctoral

A system is presented here to provide improved precision in ensemble differential photometry. This is achieved by using the power of grid computing to analyse astronomical catalogues. This produces new catalogues of optimised pointings for each star, which maximise the number and quality of reference stars available. Astronomical phenomena such as exoplanet transits and small-scale structure within quasars may be observed by means of millimagnitude photometric variability on the timescale of minutes to hours. Because of atmospheric distortion, ground-based observations of these phenomena require the use of differential photometry whereby the target is compared with one or more reference stars. …

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