Digital Commons Network^™

Physiological Measurements For Real-Time Fatigue Monitoring In Train Drivers: Review Of The State Of The Art And Reframing The Problem, Bojana Bjegojevic, Maria Chiara Leva, Nora Balfe, Sam D. Cromie, Luca Longo

Conference papers

The impact of fatigue on train drivers is one of the most important safety-critical issues in rail. It affects drivers’ performance, significantly contributing to railway incidents and accidents. To address the issue of real-time fatigue detection in drivers, most reliable and applicable psychophysiological indicators of fatigue need to be identified. Hence, this paper aims to examine and present the current state of the art in physiological measures for real-time fatigue monitoring that could be applied in the train driving context. Three groups of such measures are identified: EEG, eye-tracking and heart-rate measures. This is the first paper to provide the …

K-Nearest Neighbour Classifiers - A Tutorial, Padraig Cunningham, Sarah Jane Delany

Conference papers

Perhaps the most straightforward classifier in the arsenal or Machine Learning techniques is the Nearest Neighbour Classifier – classification is achieved by identifying the nearest neighbours to a query example and using those neighbours to determine the class of the query. This approach to classification is of particular importance because issues of poor run-time performance is not such a problem these days with the computational power that is available. This paper presents an overview of techniques for Nearest Neighbour classification focusing on; mechanisms for assessing similarity (distance), computational issues in identifying nearest neighbours and mechanisms for reducing the dimension of …

Underestimation Bias And Underfitting In Machine Learning, Padraig Cunningham, Sarah Jane Delany

Conference papers

. Often, what is termed algorithmic bias in machine learning will be due to historic bias in the training data. But sometimes the bias may be introduced (or at least exacerbated) by the algorithm itself. The ways in which algorithms can actually accentuate bias has not received a lot of attention with researchers focusing directly on methods to eliminate bias - no matter the source. In this paper we report on initial research to understand the factors that contribute to bias in classification algorithms. We believe this is important because underestimation bias is inextricably tied to regularization, i.e. measures to …

Efficient Solution Of Surface Erosion In Particle-Laden Hypersonic Flows, Andrew Hinkle, Serhat Hosder, Christopher Johnston

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The standard approach for simulating hypersonic dust erosion problems using mixed Eulerian-Lagrangian two-phase solvers is too computationally expensive for routine simulations, and particularly for uncertainty quantification (UQ) analyses. To enable these analyses, a new approach for solving this problem with a sparse set of particles is presented and demonstrated on a problem from literature involving the ExoMars Schiaparelli entry vehicle. This new approach, referred to here as the Trajectory Control Volume (TCV) method is verified against traditional approaches based on Monte Carlo, and is shown to require over 3 orders-of-magnitude less samples to obtain the same results. An example UQ …

Aerothermal Uncertainty Quantification Of Deployable Entry Technologies Using Multi-Fidelity Modeling, Mario Santos, Serhat Hosder, Thomas K. West

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The objective of this work was to investigate the use of a co-Kriging based multi-fidelity modeling approach with a Monte Carlo uncertainty quantification analyses of surface heating on hypersonic inflatable aerodynamic decelerator vehicles and adaptable, deployable entry placement technology vehicles in Mars entry. A previously developed co-Kriging based multi-fidelity modeling approach was used to model the laminar and turbulent convective and radiative heat fluxes along the vehicle. Monte Carlo analyses of surface heat load for nine different vehicle nose radii was performed for both vehicles, assuming the same thermal protection system is used for both vehicles. The maximum heat loads …

A Convolutional Neural Network Model Based On Multiscale Structural Similarity For The Prediction Of Flow Fields, Yifu An, Xiaosong Du, Joaquim R.R.A. Martins

Mechanical and Aerospace Engineering Faculty Research & Creative Works

We have seen the emerging applications of deep neural networks for flow field predictions in the past few years. Most of the efforts rely on the increased complexity of the model itself or take advantage of novel network architectures, such as convolutional neural networks (CNN). However, reaching low prediction error cannot guarantee the quality of the predicted flow fields in terms of the perceived visual quality. This work introduces the multi-scale structural similarity (MS-SSIM) index method for flow field prediction. First, we train CNN models using the commonly used root mean squared error (RMSE) loss function as the reference. Then …

Toward Understanding Commercial Additives For Zincate Electrogalvanizing, Margaret Scott

Masters Theses

"Cyanide zinc electrogalvanizing has been used for many years to produce high quality and uniform zinc coatings. Due to toxicity concerns, a significant amount of research has occurred to remove the use of cyanide while still producing a similar deposit. One of the resulting plating chemistries is the alkaline zincate bath.

Alkaline zincate plating has the advantages of low startup cost, low toxicity, and low corrosion rate. Despite these advantages, alkaline bath conditions do not produce acceptable zinc deposits without the use of plating additives, which can promote lustrous, smooth deposits. This research aims to: (1) generate fundamental electrochemical data …

Neural Network Supervised And Reinforcement Learning For Neurological, Diagnostic, And Modeling Problems, Donald Wunsch Iii

Masters Theses

“As the medical world becomes increasingly intertwined with the tech sphere, machine learning on medical datasets and mathematical models becomes an attractive application. This research looks at the predictive capabilities of neural networks and other machine learning algorithms, and assesses the validity of several feature selection strategies to reduce the negative effects of high dataset dimensionality. Our results indicate that several feature selection methods can maintain high validation and test accuracy on classification tasks, with neural networks performing best, for both single class and multi-class classification applications. This research also evaluates a proof-of-concept application of a deep-Q-learning network (DQN) to …

Automated Rhythmic Humanisation As A Structural Marker In Music, Linda Adams, Liam O’Sullivan, Charlie Cullen

Research Outputs: 2025-Present

No abstract provided.

Early Repayment Of Loans Under Eu Law: The Lexitor Judgment, Enrico Baffi, Francesco Parisi

Articles

Recent changes in EU law provide flexibility and protection to consumers, facilitating early repayment of loans, when the consumer is no longer interested in continuing a credit relationship. From an economic point of view, early repayment of loans should be facilitated, because it allows money that is no longer needed to be put to other desirable uses. Under current EU law, as recently interpreted in the Lexitor judgment by the Court of Justice of the European Union, upon early repayment of a loan, consumers can obtain a pro-rated reimbursement of all the up-front and recurring costs of the loan, including …

Judicial Restoration Of Rights As An Auxiliary To The Pardon Power, Janeanne Murray

Articles

No abstract provided.

Development Of A Framework For Managing The Industry 4.0 Equipment Procurement Process For The Irish Life Sciences Sector, Shane Loughlin

Doctoral

Industry 4.0 (I4.0) brings unprecedented opportunities for Manufacturing Corporations poised to implement Digital Business models; DigitALIZAtion. Industry Standards have been developed for the core technologies of the I4.0 Digital Supply Chains. Manufacturing equipment must now be procured to integrate seamlessly at any point in these novel supply chains. The aim of this study is to determine if an I4.0 Equipment Procurement Process (I4.0-EPP) can be developed which reduces the risk of equipment integration issues. It asks; Can the form of the equipment be specified, so that it correctly fits into the I4.0 Digital Supply Chain, to facilitate the desired I4.0 …

Reconsidering Ross: The Interplay Of Aedpa, Criminal Appeals, And The Right To Counsel, Kimberly A. Thomas

Articles

This piece highlights features of our current law that converge to say that we should reconsider Ross: (1) the utility of counsel on discretionary review, which has been underexplored, both before and after Ross; (2) the increased importance, in modern criminal law, of direct appeals; and relatedly, the U.S. Supreme Court’s interpretation of AEDPA that has moved most of the significant windows for substantive criminal law change into the direct appeal; and, finally, (3) perhaps an increased sliver of doctrinal sunlight in which to think about chipping away at Ross. Given the first two developments, the possible window to think …

Beyond Plea Bargaining: A Theory Of Criminal Settlement, Richard Lorren Jolly, J.J. Prescott

Articles

Settlement is a term rarely used in criminal law. Instead, people speak almost exclusively of plea bargaining—i.e., enforceable agreements in which a defendant promises to plead guilty in exchange for a prosecutor’s promise to seek leniency in charging or at sentencing. But a traditional plea agreement is just the most visible instance of a much broader class of possible criminal settlement agreements. In terms of their fundamentals, criminal settlements are indistinguishable from their civil counterparts: through either an atomized or comprehensive bargain, parties exchange what they have for what they want, advancing their respective interests in cost minimization, risk mitigation, …

Real-Time Overhead Power Line Sag Monitoring, Jie Huang, Rui Bo

Patents

System and method for determining real-time sag and shape information of an electrical power line based on strain distribution along a length of an optical fiber associated with the power line. An embedded fiber coupled to an overhead transmission line measures strain using the backscatter of an optical signal, the optical signal is then interrogated using an interferometer.

The Effects Of Housing Systems And Provision Of Maize Silage On Pig Performance And Pork Meat Quality, Nicholas Purdue

School of Biological and Marine Sciences Theses

Concerns over animal welfare within pig production, the flavour of the meat produced, environmental considerations and food safety worries have led consumers to question the merits of current production systems. The study set out to investigate the effects of outdoor rearing and the offering of farm produced forage on the growth rate of pigs and the eating quality of the pork produced. Experiment 1: 2 groups of British Lop X Welsh finishing pigs were housed either in indoor straw bedded pens with access to an outside yard (YA) or in outdoor accommodation with a simple shelter (OA). All pigs were …

The Effectiveness Of Partially Protected Marine Areas For Ecosystem Based Management, Bede Ffinian Rowe Davies

School of Biological and Marine Sciences Theses

The oceans provide highly important benefits to humans, ranging from sustenance and travel to livelihoods and spiritual wellbeing to climate stabilisation. Yet, globally the use of the marine environment has been unsustainable with extensive pressure being applied either directly or indirectly. This has led to the degradation of almost all marine ecosystems, with no system considered pristine from the depths of the Marianas trench to the inshore seas.Destabilisation of the ocean systems is jeopardising their ability to slow down the effects of climate change. This destabilisation is being driven in part by unsustainable and destructive human practises, such as: overfishing, …

How Filipino Youth Identify And Act On Bullying And Harassment On Social Media, Cheryll Ruth Soriano, Jason Vincent A. Cabañes, Jan Michael Alexandre Bernadas, Maria Caridad H. Tarroja, Kimberly Kaye Mata

SDRC Projects

This study examined how Filipino youth identify, experience, assess, and respond to bullying and harassment on social media. It approached these phenomena as communicative and socially constructed, shaped by young people’s relationships, cultural contexts, and use of multiple interconnected digital platforms. The study drew on online in-depth interviews with 152 Filipino youth aged 15 to 24 from Metro Manila, Batangas, Negros Occidental, and Misamis Occidental, including both school-going and out-of-school youth. The findings show that social media bullying and harassment are shaped by the youth’s use of polymedia and by the interaction of three key dimensions: targets, acts, and spaces. …

Multimodal Learning For Dyslexic Musicians: Practical Applications For Adults, Melissa Mikucki

Theses : Honours

Dyslexia affects 15 to 20% of the population according to the International Dyslexia Association. Multimodal media, such as smartphones and tablets, which are capable of presenting varied modes of information (for example, visual, aural, and kinetic), have been shown to aid learning in dyslexic children. Music has been identified as a useful multisensory tool to help educators improve literacy skills in children. However, little research has been done on the impact of dyslexia on a child or adult’s ability to learn and perform music. Few studies have been undertaken that focus solely on dyslexia’s effect on musical ability in children; …

Adapting Barbershop Harmony For The Saxophone Quartet, Jonathon Astbury

Theses : Honours

Barbershop harmony refers to a unique style of arrangement and performance for voice that is strictly in four parts and acapella. There is much untapped potential in this close harmonic genre that could be explored in instruments other than the human voice. This paper set out to explore and establish a method of arranging and performing music of the barbershop style for the saxophone quartet. To achieve this transference of the style from voices to saxophones, the harmonic conventions and arranging rules of barbershop from the existing literature were established, along with a review of the literature pertaining to effective …

Responding To Stigmatization: How To Resist And Overcome The Stigma Of Unemployment, Paul Donnelly, Lucia Garcia-Lorenzo, Lucia Sell-Trujillo

Articles

Organization research on stigma has mostly focused on the stigmatized, limiting the scope for exploring what is possible and lacking recognition of the structural conditions and unequal power relations that create and sustain stigma. Consequently, it overlooks how actors can organize to resist and potentially overcome stigmatization altogether. Addressing this question empirically, we studied the long-term unemployed in Spain using a longitudinal qualitative research design. We develop a typology of responses to stigmatization – getting stuck, getting by, getting out, getting back at and getting organized – that advances our understanding of stigma in several ways. First, our typology captures …

A Comparison Of Anthropometric And Performance Profiles Between Elite And Sub-Elite Hurling Players, John Keane, Shane Malone, Ciaran Keogh, Damian Young, Guiseppe Coratella, Kieran Collins

Articles

The aim of the current study was to identify the specific differences in anthropometric and performance profiles between elite and sub-elite hurling players with respect to position and level of play. One hundred and thirty-seven (n = 137) hurlers at the elite (n = 61) and sub-elite (n = 76) level completed a series of anthropometric [height, body mass, the sum of seven skinfolds, adipose tissue percentage estimates (%AT), fat-free mass estimations (FFM)) and performance ((countermovement jump height (CMJ), CMJ peak power (CMJ PP), CMJ relative peak power (CMJ RPP), acceleration (5, 10 and 20 m), and yo-yo intermittent recovery …

Fedoram: A Federated Oblivious Ram Scheme, Alexandre Pujol, Liam Murphy, Christina Thorpe

Articles

Instant messaging (IM) applications, even with end-to-end encryption enabled, pose privacy issues due to metadata and pattern leakage. Our goal is to develop a model for a privacy preserving IM application, by designing an IM application that focuses on hiding metadata and discussion patterns. To solve the issue of privacy preservation through the obfuscation of metadata, cryptographic constructions like Oblivious Random Access Machines (ORAM) have been proposed in recent years. However, although they completely hide the user access patterns, they incur high computational costs, often resulting in excessively slow performance in practice. We propose a new federated model, FedORAM, which …

Methodologies Of Comparative Constitutional Law: Functional Approach The Max Planck Encyclopedia Of Comparative Constitutional Law (Forthcoming), Francesca Bignami

GW Law Faculty Publications & Other Works

This encyclopedia entry conceptualizes methodology in comparative constitutional law as divided into consumption-side and production-side methodologies. Many of the labels in the field refer to types of consumption of comparative law by constitutional judges and constitution-writers—expressivist, universalist, functionalist. Other labels refer to types of production by scholars situated in the academy—black-letter, historical, contextual, classificatory, critical.

The functional approach, one form of consumption by constitutional judges and constitution-drafters, uses the law of other jurisdictions to explore various alternatives to solving common constitutional problems. Once the alternatives are exposed, the decision to adopt a foreign judicial doctrine or legal text is driven …

It's Time To Regulate Stablecoins As Deposits And Require Their Issuers To Be Fdic-Insured Banks, Arthur E. Wilmarth Jr.

GW Law Faculty Publications & Other Works

In November 2021, the President’s Working Group on Financial Markets (PWG) issued a report analyzing the rapid expansion and growing risks of the stablecoin market. PWG’s report determined that stablecoins pose a wide range of potential hazards, including the risks of inflicting large losses on investors, destabilizing financial markets and the payments system, supporting money laundering, tax evasion, and other forms of illicit finance, and promoting dangerous concentrations of economic and financial power. PWG called on Congress to pass legislation that would require all issuers of stablecoins to be banks that are insured by the Federal Deposit Insurance Corporation (FDIC). …

Us Debarment: An Introduction, John Pachter, Christopher R. Yukins, Jessica Tillipman

GW Law Faculty Publications & Other Works

Disclaimer: This chapter has been published in The Cambridge Handbook of Compliance edited by Benjamin van Rooij and D. Daniel Sokol (2021), https://doi.org/10.1017/9781108759458. This version is free to view and download for private research and study only. Not for re-distribution or re-use. Copyright John Pachter, Christopher Yukins & Jessica Tillipman.

This chapter, cowritten by senior members of the bar who teach in the leading public procurement law program in the United States, discusses corruption, compliance, and debarment in government procurement. When a government procures goods or services, it must decide questions of price and quality, and – equally importantly – …

Public Health Insurance And Pharmaceutical Innovation: Evidence From China, Xuan Zhang, Huihua Nie

Research Collection School Of Economics

Developing countries are characterized by low levels of pharmaceutical innovation. A likely reason is their small market size, which is not because of the population size but because of low levels of income and lack of health insurance coverage. This study exploits a natural experiment from the implementation of a public health insurance program for rural residents in China (New Cooperative Medical Scheme [NCMS]) to examine whether the pharmaceutical industry increases innovation regarding diseases covered by the NCMS that are prevalent in rural areas. We examine the 1993–2009 patent data to gauge pharmaceutical innovation in China. Diseases with a 10% …

Joint Tests For Dynamic And Spatial Effects In Short Dynamic Panel Data Models With Fixed Effects And Heteroskedasticity, Zhenlin Yang

Research Collection School Of Economics

Simple and reliable tests are proposed for testing the existence of dynamic and/or spatial effects in fixed-effects panel data models with small T and possibly heteroskedastic errors. The tests are constructed based on the adjusted quasi scores (AQS), which correct the conditional quasi scores given the initial differences to account for the effect of initial values. To improve the finite sample performance, standardized AQS tests are also derived, which are shown to have much improved finite sample properties. All the proposed tests are robust against nonnormality, but some are not robust against cross-sectional heteroskedasticity (CH). A different type of adjustments …

Generalized Jump Regressions For Local Moments, Tim Bollerslev, Jia Li, Leonardo Salim Saker Chaves

Research Collection School Of Economics

We develop new high-frequency-based inference procedures for analyzing the relationship between jumps in instantaneous moments of stochastic processes. The estimation consists of two steps: the nonparametric determination of the jumps as differences in local averages, followed by a minimum-distance type estimation of the parameters of interest under general loss functions that include both least-square and more robust quantile regressions as special cases. The resulting asymptotic distribution of the estimator, derived under an infill asymptotic setting, is highly nonstandard and generally not mixed normal. In addition, we establish the validity of a novel bootstrap algorithm for making feasible inference including bias-correction. …

Retirement Preparedness In Singapore, Junxing Chay, Seonghoon Kim

Research Collection School Of Economics

This chapter presents empirical evidence on a variety of measures to assess the social and economic well-being of near-retirees and retirees in Singapore based on rich data from the Singapore Life Panel, a nationally representative monthly panel survey of 50- to 70-year-old adults in Singapore. Large differences in retirement behaviour and household financial conditions related to retirement preparedness across education and wealth groups are documented. This suggests the importance of a retirement-related policy that focuses on the low-skilled and low-wealth groups. In addition, we discuss and evaluate current public policy designed to increase the employment of older workers and propose …