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Articles 26101 - 26130 of 26915
Full-Text Articles in Entire DC Network
Improved Levels Of Critical Reflection In Pharmacy Technician Student Work-Placement Assessments Through Emphasising Graduate Attributes, Julie Dunne
Journal Articles
This study investigated the effect of activities to promote awareness of specific prioritised graduate attributes on the quality of reflection displayed in work-placement reflective blog assessments for Pharmacy-technician students. Previous related research showed an increased tendency to frame placement experiences in terms of graduate attributes when they are made more explicit in the curriculum. Now, a thematic analysis of reflective writing from control and research groups, using a priori codes of ‘reflection’ and ‘graduate attributes’ explored the impact on the depth of critical reflection, and its relationship to explicit discussion of graduate attributes. The findings show an improvement in the …
A Guide For Vet Teachers With A Focus On Aquaculture: Using Student Rapid Response Systems (Srrs) For Formative Assessment And For Recognition Of Prior Learning (Rpl), Anne Murphy, Aidan Kenny, Martyn Haines, Christine Dudgeon, Dag Willmann
A Guide For Vet Teachers With A Focus On Aquaculture: Using Student Rapid Response Systems (Srrs) For Formative Assessment And For Recognition Of Prior Learning (Rpl), Anne Murphy, Aidan Kenny, Martyn Haines, Christine Dudgeon, Dag Willmann
Reports
Optimal was a European Commission funded Erasmus+ Key Action 2 Strategic Partnership Project KA2-SP, titled – ‘Optimised Training: Innovative Methods and Tools for Acceptance of Prior Learning in Qualifications and Workplace Training’. It started in 2016 and ended in October 2019. The Optimal project involved a consortium of partners as follows: Norway - Blue Competence Centre and Guri Kunna VET School, Hitra and Froya Belgium - Federation of European Aquaculture Producers (FEAP) Scotland - Pisces Learning Innovations (PLI) Ltd Ireland - Teachers’ Union of Ireland (TUI). The partnership investigated the delivery of VET to work-based learners through the application of …
Nanostructured Materials For Food Applications: Spectroscopy, Microscopy And Physical Properties, Shubham Sharma, Swana Jaiswal, Brendan Duffy, Amit Jaiswal
Nanostructured Materials For Food Applications: Spectroscopy, Microscopy And Physical Properties, Shubham Sharma, Swana Jaiswal, Brendan Duffy, Amit Jaiswal
Articles
Nanotechnology deals with the matter of atomic or molecular scale. Other factors that define the character of a nanoparticle are its physical and chemical properties, such as surface area, surface charge, hydrophobicity of the surface, the thermal stability of the nanoparticle, and its antimicrobial activity. A nanoparticle is usually characterized by using microscopic and spectroscopic techniques. Microscopic techniques are used to characterize the size, shape, and location of the nanoparticle by producing an image of the individual nanoparticle. Several techniques, such as scanning electron microscopy (SEM), transmission electron microscopy/high resolution transmission electron microscopy (TEM/HRTEM), atomic force microscopy (AFM) and scanning …
On The Determination Of The Number Of Positive And Negative Polynomial Zeros And Their Isolation, Emil Prodanov
On The Determination Of The Number Of Positive And Negative Polynomial Zeros And Their Isolation, Emil Prodanov
Articles
A novel method with two variations is proposed with which the number of positive and negative zeros of a polynomial with real co-efficients and degree $n$ can be restricted with significantly better determinacy than that provided by the Descartes' rule of signs and also isolate quite successfully the zeros of the polynomial. The method relies on solving equations of degree smaller than that of the given polynomial. One can determine analytically the exact number of positive and negative zeros of a polynomial of degree up to and including five and also fully isolate the zeros of the polynomial analytically and …
Van Der Waals Universe With Adiabatic Matter Creation, Emil Prodanov, Rossen Ivanov
Van Der Waals Universe With Adiabatic Matter Creation, Emil Prodanov, Rossen Ivanov
Articles
A FRWL cosmological model with perfect fluid comprising of van der Waals gas and dust has been studied in the context of dynamical analysis of a three-component autonomous non-linear dynamical system for the particle number density $n$, the Hubble parameter $H$, and the temperature $T$. Perfect fluid isentropic particle creation at rate proportional to an integer power $\alpha$ of $H$ has been incorporated. The existence of a global first integral allows the determination of the temperature evolution law and hence the reduction of the dynamical system to a two-component one. Special attention is paid to the cases of $\alpha = …
Injective Tensor Products Of Tree Spaces, Milena Venkova, Christopher Boyd, Costas Poulios
Injective Tensor Products Of Tree Spaces, Milena Venkova, Christopher Boyd, Costas Poulios
Articles
We study tensor products on tree spaces; in particular, we give necessary and sufficient conditions for the n-fold injective tensor product of tree spaces to contain a copy of l_1.
Equatorial Wave–Current Interactions, Adrian Constantin, Rossen Ivanov
Equatorial Wave–Current Interactions, Adrian Constantin, Rossen Ivanov
Articles
We study the nonlinear equations of motion for equatorial wave–current interactions in the physically realistic setting of azimuthal two-dimensional inviscid flows with piecewise constant vorticity in a two-layer fluid with a flat bed and a free surface. We derive a Hamiltonian formulation for the nonlinear governing equations that is adequate for structure-preserving perturbations, at the linear and at the nonlinear level. Linear theory reveals some important features of the dynamics, highlighting differences between the short- and long-wave regimes. The fact that ocean energy is concentrated in the long-wave propagation modes motivates the pursuit of in-depth nonlinear analysis in the long-wave …
A Multilayer Exponential Random Graph Modelling Approach For Weighted Networks, Alberto Caimo, Isabella Gollini
A Multilayer Exponential Random Graph Modelling Approach For Weighted Networks, Alberto Caimo, Isabella Gollini
Articles
A new modelling approach for the analysis of weighted networks with ordinal/polytomous dyadic values is introduced. Specifically, it is proposed to model the weighted network connectivity structure using a hierarchical multilayer exponential random graph model (ERGM) generative process where each network layer represents a different ordinal dyadic category. The network layers are assumed to be generated by an ERGM process conditional on their closest lower network layers. A crucial advantage of the proposed method is the possibility of adopting the binary network statistics specification to describe both the between-layer and across-layer network processes and thus facilitating the interpretation of the …
Current Source Density Approaches Improve Spatial Resolution In Event Related Potential Analysis In People With Parkinson's Disease, Conor Fearon, John Butler, Saskia M. Waechter, Isabelle Killane, Richard B. Reilly, Timothy Lynch
Current Source Density Approaches Improve Spatial Resolution In Event Related Potential Analysis In People With Parkinson's Disease, Conor Fearon, John Butler, Saskia M. Waechter, Isabelle Killane, Richard B. Reilly, Timothy Lynch
Articles
No abstract provided.
On The Reidemeister Spectrum Of An Abelian Group, Brendan Goldsmith, Fatemeh Karimi, Noel White
On The Reidemeister Spectrum Of An Abelian Group, Brendan Goldsmith, Fatemeh Karimi, Noel White
Articles
The Reidemeister number of an automorphism ϕ of an Abelian group G is calculated by determining the cardinality of the quotient group G/(ϕ − 1G)(G), and the Reidemeister spectrum of G is precisely the set of Reidemeister numbers of the automorphisms of G. In this work we determine the full spectrum of several types of group, paying particular attention to groups of torsion-free rank 1 and to direct sums and products. We show how to make use of strong realization results for Abelian groups to exhibit many groups where the Reidemeister number is infinite for all automorphisms; such groups then …
Oscillatory Behavior Of Hollow Grid Cathode Discharges, Roman Schrittwieser, Claudia-Teodora Teodorescu-Soare, Florin Enescu, Codrina Ionita, Dan-Gheorghe Dimitriu, Silviu Gurlui, Federico Mazzanti, Stefan-Andrei Irimiciuc, Bianca Hodoroaba, Turlough O'Hara, Ovidiu Vasilovici, Lidia Amarandi
Oscillatory Behavior Of Hollow Grid Cathode Discharges, Roman Schrittwieser, Claudia-Teodora Teodorescu-Soare, Florin Enescu, Codrina Ionita, Dan-Gheorghe Dimitriu, Silviu Gurlui, Federico Mazzanti, Stefan-Andrei Irimiciuc, Bianca Hodoroaba, Turlough O'Hara, Ovidiu Vasilovici, Lidia Amarandi
Conference Papers
Multiple complex space-charge structures in unmagnetized low-temperature plasmas arise from ionization phenomena near additional negatively or positively biased electrodes or due to local constraints. Because of their usually spherical form, such structures are called fireballs. If they appear inside hollow grids, they are called inverted fireballs or plasma bubbles. The temporal evolution of such structures is often accompanied by strong plasma instabilities. The dynamics of complex space-charge structures have been investigated by using single spherical grid cathode with an orifice. Langmuir probe and optical emission spectroscopy were used to diagnose the structures. Measurements delivered the axial profiles of the plasma …
Development Of A Nanodrop Shape Analysis Tool For Installation In A Novel Nanodrop Spectrophotometer, Colin Monaghan, Jane Courtney
Development Of A Nanodrop Shape Analysis Tool For Installation In A Novel Nanodrop Spectrophotometer, Colin Monaghan, Jane Courtney
Session 6: Applications, Architecture and Systems Integration
The rapid identification of liquid composition is an important task integral to a wide range of industries including medical, pharmaceuticals, petrochemicals, and vinification. To aid in this identification spectroscopy can be utilised, however specialised instrumentation must be developed to deliver quantitative information. A spectrophotometer uses spectral data to identify chemical composition of droplets. However, to accurately perform this function, prior knowledge of the size and shape of the droplet is essential to understand chemical quantity. Whilst image data can be easily captured with a high definition camera, the image analysis to translate images into a relevant region of interest (ROI) …
Image-Based Malware Classification: A Space Filling Curve Approach, Stephen O Shaughnessy
Image-Based Malware Classification: A Space Filling Curve Approach, Stephen O Shaughnessy
Conference Papers
Anti-virus (AV) software is effective at distinguishing between benign and malicious programs yet lack the ability to effectively classify malware into their respective family classes. AV vendors receive considerably large volumes of malicious programs daily and so classification is crucial to quickly identify variants of existing malware that would otherwise have to be manually examined. This paper proposes a novel method of visualizing and classifying malware using Space-Filling Curves (SFC's) in order to improve the limitations of AV tools. The classification models produced were evaluated on previously unseen samples and showed promising results, with precision, recall and accuracy scores of …
Multi-Spectral Visual Crop Assessment Under Limited Data Constraints, Patricia O'Byrne, Patrick Jackman, Damon Berry, Hector-Hugo Franco-Penya, Michael French, Robert J. Ross
Multi-Spectral Visual Crop Assessment Under Limited Data Constraints, Patricia O'Byrne, Patrick Jackman, Damon Berry, Hector-Hugo Franco-Penya, Michael French, Robert J. Ross
Conference papers
In an era of climate change and global population growth, deep learning based multi-spectral imaging has the potential to significantly assist in production management across a wide range of agricultural and food production domains. A key challenge however in applying state-of-the-art methods is that they, unlike classical hand crafted methods, are usually thought of as being only useful when significant amounts of data are available. In this paper we investigate this hypothesis by examining the performance of state-of-the-art deep learning methods when applied to a restricted data set that is not easily bootstrapped through pre-trained image processing networks. We demonstrate …
Explorobot: Rapid Exploration With Chart Automation, Tamara Matthews, Rohan Goel, John Mcauley
Explorobot: Rapid Exploration With Chart Automation, Tamara Matthews, Rohan Goel, John Mcauley
Conference papers
General-purpose visualization tools are used by people with varying degrees of data literacy. Often the user is not a professional analyst or data scientist and uses the tool infrequently, to support an aspect of their job. This can present difficulties as the user’s unfamiliarity with visualization practice and infrequent use of the tool can result in long processing time, inaccurate data representations or inappropriate visual encodings. To address this problem, we developed a visual analytics application called exploroBOT. The exploroBOT automatically generates visualizations and the exploration guidance path (an associated network of decision points, mapping nodes where visualizations change). These …
On The Inability Of Markov Models To Capture Criticality In Human Mobility, Vaibhav Klukarni, Abhijit Mahalunkar, Benoit Garbinato, John Kelleher
On The Inability Of Markov Models To Capture Criticality In Human Mobility, Vaibhav Klukarni, Abhijit Mahalunkar, Benoit Garbinato, John Kelleher
Conference papers
We examine the non-Markovian nature of human mobility by exposing the inability of Markov models to capture criticality in human mobility. In particular, the assumed Markovian nature of mobility was used to establish an upper bound on the predictability of human mobility, based on the temporal entropy. Since its inception, this bound has been widely used for validating the performance of mobility prediction models. We show that the variants of recurrent neural network architectures can achieve significantly higher prediction accuracy surpassing this upper bound. The central objective of our work is to show that human-mobility dynamics exhibit criticality characteristics which …
A Self Healing Microservices Architecture: A Case Study In Docker Swarm Cluster, Basel Magableh, Muder Almiani
A Self Healing Microservices Architecture: A Case Study In Docker Swarm Cluster, Basel Magableh, Muder Almiani
Conference papers
One desired aspect of a self-adapting microservices architecture is the ability to continuously monitor the operational environment, detect and observe anomalous behaviour as well as implement a reasonable policy for self-scaling, self-healing, and self-tuning the computational resources in order to dynamically respond to a sudden change in its operational environment. Often the behaviour of a microservices architecture continuously changes over time and the identification of both normal and abnormal behaviours of running services becomes a challenging task. This paper proposes a self-healing Microservice architecture that continuously monitors the operational environment, detects and observes anomalous behaviours, and provides a reasonable adaptation …
Intelligent Intrusion Detection Using Radial Basis Function Neural Network, Alia Abughazleh, Muder Almiani, Basel Magableh, Abdul Razaque
Intelligent Intrusion Detection Using Radial Basis Function Neural Network, Alia Abughazleh, Muder Almiani, Basel Magableh, Abdul Razaque
Conference papers
Recently we witness a booming and ubiquity evolving of internet connectivity all over the world leading to dramatic amount of network activities and large amount of data and information transfer. Massive data transfer composes a fertile ground to hackers and intruders to launch cyber-attacks and various types of penetrations. As a consequence, researchers around the globe have devoted a large room for researches that can handle different types of attacks efficiently through building various types of intrusion detection systems capable to handle different types of attacks, known and unknown (novel) ones as well as have the capability to deal with …
Towards Linked Data For Wikidata Revisions And Twitter Trending Hashtags, Paula Dooley, Bojan Bozic
Towards Linked Data For Wikidata Revisions And Twitter Trending Hashtags, Paula Dooley, Bojan Bozic
Conference papers
This paper uses Twitter as a microblogging platform to link hashtags, which relate the message to a topic that is shared among users, to Wikidata, a central knowledge base of information relying on its members and machine bots to keeping its content up to date. The data is stored in a highly structured format, with the added SPARQL Protocol And RDF Query Language (SPARQL) endpoint to allow users to query its knowledge base. Our research, designs and implements a process to stream live Twitter tweets and to parse existing Wikidata revision XML files provided by Wikidata. Furthermore, we identify if …
Agent-Based Iot Coordination For Smart Cities Considering Security And Privacy, Iván García-Magariño, Geraldine Gray, Rajarajan Muttukrishnan, Waqar Asif
Agent-Based Iot Coordination For Smart Cities Considering Security And Privacy, Iván García-Magariño, Geraldine Gray, Rajarajan Muttukrishnan, Waqar Asif
Conference papers
The interest in Internet of Things (IoT) is increasing steeply, and the use of their smart objects and their composite services may become widespread in the next few years increasing the number of smart cities. This technology can benefit from scalable solutions that integrate composite services of multiple-purpose smart objects for the upcoming large-scale use of integrated services in IoT. This work proposes an agent-based approach for supporting large-scale use of IoT for providing complex integrated services. Its novelty relies in the use of distributed blackboards for implicit communications, decentralizing the storage and management of the blackboard information in the …
An Evaluation Of The Reliability, Validity And Sensitivity Of Three Human Mental Workload Measures Under Different Instructional Conditions In Third-Level Education, Luca Longo, Giuliano Orru
An Evaluation Of The Reliability, Validity And Sensitivity Of Three Human Mental Workload Measures Under Different Instructional Conditions In Third-Level Education, Luca Longo, Giuliano Orru
Conference papers
Although Cognitive Load Theory (CLT) has been researched for many years, it has been criticised for its theoretical clarity and its methodological approach. A crucial issue is the measurement of three types of cognitive load conceived in the theory, and the assessment of overall human cognitive load during learning tasks. This research study is motivated by these issues and it aims to investigate the reliability, validity and sensitivity of three existing self-reporting mental workload instruments, mainly used in Ergonomics, when applied to Education and in particular to the field of Teaching and Learning. A primary research study has been designed …
We Have Always Been Virtual: Gilles Deleuze And The Computer-Generated Image, Hugh Mccabe
We Have Always Been Virtual: Gilles Deleuze And The Computer-Generated Image, Hugh Mccabe
Conference papers
The use of computer-generated imagery is becoming increasingly ubiquitous across many fields including media, advertising, architecture and art. This represents a fundamental shift within visual culture, as imagery can now be produced routinely by means of rendering algorithms based on spatial representations. We propose that the account of the image provided by Gilles Deleuze in his books on cinema provides a rich philosophical framework for understanding such contemporary imaging practices. By providing a Deleuzian reading of James Kajiya's 1986 rendering equation we argue that there is a tacit ontology of the image underwriting both Deleuze’s work on cinema and current …
Fuzzy-Gra Trust Model For Cloud Risk Management, Abdul Razaque, Muder Almiani, Meer Jaro Khan, Basel Magableh, Ayman Al-Dmour, Amer Al-Rahayfeh
Fuzzy-Gra Trust Model For Cloud Risk Management, Abdul Razaque, Muder Almiani, Meer Jaro Khan, Basel Magableh, Ayman Al-Dmour, Amer Al-Rahayfeh
Conference papers
Cloud computing is not adequately secure due to the currently used traditional trust methods such as global trust model and local trust model. These are prone to security vulnerabilities. This paper introduces a trust model based on the fuzzy mathematics and gray relational theory. Fuzzy mathematics and gray relational analysis (Fuzzy-GRA) aims to improve the poor dynamic adaptability of cloud computing. Fuzzy-GRA platform is used to test and validate the behavior of the model. Furthermore, our proposed model is compared to other known models. Based on the experimental results, we prove that our model has the edge over other existing …
Analyzing Twitter Feeds To Facilitate Crises Informatics And Disaster Response During Mass Emergencies, Arshdeep Kaur
Analyzing Twitter Feeds To Facilitate Crises Informatics And Disaster Response During Mass Emergencies, Arshdeep Kaur
Dissertations
It is a common practice these days for general public to use various micro-blogging platforms, predominantly Twitter, to share ideas, opinions and information about things and life. Twitter is also being increasingly used as a popular source of information sharing during natural disasters and mass emergencies to update and communicate the extent of the geographic phenomena, report the affected population and casualties, request or provide volunteering services and to share the status of disaster recovery process initiated by humanitarian-aid and disaster-management organizations. Recent research in this area has affirmed the potential use of such social media data for various disaster …
Comparing Procedural Content Generation Algorithms For Creating Levels In Video Games, Zina Monaghan
Comparing Procedural Content Generation Algorithms For Creating Levels In Video Games, Zina Monaghan
Dissertations
Procedural Content Generation (PCG) is used frequently in games to increase replayability by introducing variety to playghrough of a game and reduce development time by allowing complex game worlds to be developed by a smaller team over a more limited amount of time.
An Evaluation Of The Information Security Awareness Of University Students, Alan Pike
An Evaluation Of The Information Security Awareness Of University Students, Alan Pike
Dissertations
Between January 2017 and March 2018, it is estimated that more than 1.9 billion personal and sensitive data records were compromised online. The average cost of a data breach in 2018 was reported to be in the region of US$3.62 million. These figures alone highlight the need for computer users to have a high level of information security awareness (ISA). This research was conducted to establish the ISA of students in a university. There were three aspects to this piece of research. The first was to review and analyse the security habits of students in terms of their own personal …
An Investigation Into The Predictive Capability Of Customer Spending In Modelling Mortgage Default, Donal Finn [Thesis]
An Investigation Into The Predictive Capability Of Customer Spending In Modelling Mortgage Default, Donal Finn [Thesis]
Dissertations
The mortgage arrears crisis in Ireland was and is among the most severe experienced on record and although there has been a decreasing trend in the number of mortgages in default in the past four years, it still continues to cause distress to borrowers and vulnerabilities to lenders. There are indications that one of the main factors associated with mortgage default is loan affordability, of which the level of disposable income is a driver. Additionally, guidelines set out by the European Central Bank instructed financial institutions to adopt measures to further reduce and prevent loans defaulting, including the implementation and …
Noise Reduction In Eeg Signals Using Convolutional Autoencoding Techniques, Conor Hanrahan
Noise Reduction In Eeg Signals Using Convolutional Autoencoding Techniques, Conor Hanrahan
Dissertations
The presence of noise in electroencephalography (EEG) signals can significantly reduce the accuracy of the analysis of the signal. This study assesses to what extent stacked autoencoders designed using one-dimensional convolutional neural network layers can reduce noise in EEG signals. The EEG signals, obtained from 81 people, were processed by a two-layer one-dimensional convolutional autoencoder (CAE), whom performed 3 independent button pressing tasks. The signal-to-noise ratios (SNRs) of the signals before and after processing were calculated and the distributions of the SNRs were compared. The performance of the model was compared to noise reduction performance of Principal Component Analysis, with …
English Wikipedia Corpus Chunks, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
English Wikipedia Corpus Chunks, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
Datasets
This archive contains a collection of language corpora. These are text files that contain samples of text collected from English Wikipedia.
Interpreting And Reporting Principal Component Analysis In Food Science Analysis And Beyond, D. Cozzolino, A. Power, J. Chapman
Interpreting And Reporting Principal Component Analysis In Food Science Analysis And Beyond, D. Cozzolino, A. Power, J. Chapman
Articles
Principal component analysis (PCA) is one of the most widely used data mining techniques in sciences and applied to a wide type of datasets (e.g. sensory, instrumental methods, chemical data). However, several questions and doubts on how to interpret and report the results are still asked every day from students and researchers. This brief communication is inspired in relation to those questions asked by colleagues and students. Please note that this article is a focus on the practical aspects, use and interpretation of the PCA to analyse multiple or varied data sets. In summary, the application of the PCA provides …