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2021

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Big Data Distributed Support Vector Machine, Raed Abdulkareem Hasan, Tole Sutikno Tole Sutikno, Mohd Arfian Ismail Mohd Arfian Ismail Jan 2021

Big Data Distributed Support Vector Machine, Raed Abdulkareem Hasan, Tole Sutikno Tole Sutikno, Mohd Arfian Ismail Mohd Arfian Ismail

Mesopotamian Journal of Big Data

Data mining and machine learning (ML) methods are being used more than ever before in cyber security. The use of machine learning (ML) is one of the potential solutions that may be successful against zero day attacks, starting with the categorization of IP traffic and filtering harmful traffic for intrusion detection. In this field, certain published systematic reviews were taken into consideration. Contemporary systematic reviews may incorporate both older and more recent works in the topic of investigation. All of the papers we looked at were thus recent. Data from 2016 to 2021 were utilized in the study. Both security …

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Exponential Random Graphs And A Generalization Of Parking Functions, Ryan Demuse Jan 2021

Exponential Random Graphs And A Generalization Of Parking Functions, Ryan Demuse

Electronic Theses and Dissertations

Random graphs are a powerful tool in the analysis of modern networks. Exponential random graph models provide a framework that allows one to encode desirable subgraph features directly into the probability measure. Using the theory of graph limits pioneered by Borgs et. al. as a foundation, we build upon the work of Chatterjee & Diaconis and Radin & Yin. We add complexity to the previously studied models by considering exponential random graph models with edge-weights coming from a generic distribution satisfying mild assumptions. In particular, we show that a large family of two-parameter, edge-weighted exponential random graphs display a phase …

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Blockchain Technology Applications, Concerns And Recommendations For Public Sector, Mohanad Ghazi Yaseen, Mahadi Bahari, Omar A. Hammood Jan 2021

Blockchain Technology Applications, Concerns And Recommendations For Public Sector, Mohanad Ghazi Yaseen, Mahadi Bahari, Omar A. Hammood

Mesopotamian Journal of Computer Science

Blockchain technology is being hailed as the next significant phenomenon, with potential near-term uses that might profoundly impact society and the economy. While the previous studies emphasized cryptocurrency research, our article focused more on the blockchain-based applications applied in public sectors. This review was conducted by collecting articles from different libraries, and the search strategy was applied Nvivo software was utilized to code the literature and extract the themes used to build the body of this research. Finally, the study identified several applications and concerns regarding adopting and implementing blockchain technology within these sectors and the recommendations offered by scholars …

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Character Recognition By Implementing Fpga-Based Artificial Neural Network, Ahmed Hussein Ali, Mostafa Abdulghfoor Mohammed, Munef Abdullah Ahmed Jan 2021

Character Recognition By Implementing Fpga-Based Artificial Neural Network, Ahmed Hussein Ali, Mostafa Abdulghfoor Mohammed, Munef Abdullah Ahmed

Mesopotamian Journal of Computer Science

A non-linear applied math knowledge modelling tool, Artificial Neural Networks (ANN) are predominantly used to model complicated interactions between inputs and outputs or to look for patterns within the data. Using VHDL coding, we developed a generic hardware-based ANN. This classifier has been trained to recognize letters on a 4x4 binary grid that a user fills out using 16 toggle switches. An LCD shows the most likely classification that the ANN proposed. The ANN was taught to recognize 20 English character patterns and 9 Arabic character patterns on a 4x4 grid to showcase the viability of the FPGA execution of …

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Character Recognition Techniques And Approaches: A Literature Review, Mostafa Abdulghfoor Mohammed, Shuyuan Yang Jan 2021

Character Recognition Techniques And Approaches: A Literature Review, Mostafa Abdulghfoor Mohammed, Shuyuan Yang

Mesopotamian Journal of Computer Science

Researchers have carried out many approaches to recognizing the OCR through software-based and FPGA-based and its relationship with the ANNs and training these NNs by using the BP algorithm. The FPGA supports high speed to recognize the character because it works in parallel. It involves many logic circuits and can process at the same time (clock cycle). There have been problems with the established system because the size, shape, and style of supposedly identical characters might differ from person to person and even within the same person on rare occasions. The photograph is vulnerable to noise and can lose some …

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On-Road Remote Sensing Of Automobile Emissions In The Fresno, Ca Area: Spring 2021, Gary A. Bishop Jan 2021

On-Road Remote Sensing Of Automobile Emissions In The Fresno, Ca Area: Spring 2021, Gary A. Bishop

Fuel Efficiency Automobile Test Publications

No abstract provided.

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Stockton Ca Data Summary, Gary Bishop Jan 2021

Stockton Ca Data Summary, Gary Bishop

Fuel Efficiency Automobile Test Publications

Simple data summary for on-road emission measurements from Stockton CA.

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The Downturn Of Representative Democracy: An Analysis Of How Strategic Voting Drives Political Polarization, Anna Eager Jan 2021

The Downturn Of Representative Democracy: An Analysis Of How Strategic Voting Drives Political Polarization, Anna Eager

Res Publica - Journal of Undergraduate Research

Over the years, polarization in America has not only increased but also become more ideologically focused on in government. Furthermore, scholarship on polarization has ignored the payoffs that political actors seek while they pursue re-election. Elected representatives have numerous objectives to balance while in office. Not only do they need to manage the preferences of the people and the party, but re-election is at the centerfold of their decision-making process. To evaluate this decision-making process a difference is identified between actual vs. perceived polarization. By illustrating a gap between the constituents’ preferences and representatives’ voting choices via actual and perceived …

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The Irrationalness Of Game Theory, Oscar Romero Jan 2021

The Irrationalness Of Game Theory, Oscar Romero

Res Publica - Journal of Undergraduate Research

In February 1909, at a time where political scientists were confused as to their purpose to society, the Right Honorable James Bryce highlighted the three most important criteria for effective research of political science at the fifth annual meeting of the American Political Science Association. He declares that political scientists “1) must be critical, 2) must beware of superficial resemblances, and 3) must endeavor to disengage the personal or accidental from the general causes at work” (numbers added) (8). These specific criteria ensure that any political science research conducted leads society to increase its understanding of the laws that govern …

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Wave Farms And Coastal Protection On Gravel Dominated Beaches, Cristobal Rodriguez-Delgado Jan 2021

Wave Farms And Coastal Protection On Gravel Dominated Beaches, Cristobal Rodriguez-Delgado

School of Engineering, Computing and Mathematics Theses

The repercussions produced by the use of fossil fuels, e.g. climate change and sea level rise, have increased attention on the development of renewable energies. The European Commission has adopted the replacement of carbon fuels by renewable energy sources as one of the main objectives for the XXI century. Among these, wave energy is poised to become one of the most important due to the extensive worldwide resource and comparatively low environmental impacts. Although this renewable energy is yet in an early stage of its development and further research is required, the global resource, including the Mediterranean Sea, provides a …

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Optimisation Of Retrofit Wall Insulation: An Irish Case Study, Rakshit D. Muddu, D M. Gowda, Anthony James Robinson, Aimee Byrne Jan 2021

Optimisation Of Retrofit Wall Insulation: An Irish Case Study, Rakshit D. Muddu, D M. Gowda, Anthony James Robinson, Aimee Byrne

Articles

Ireland has one of the highest rates of emissions per capita in the world and its residential sector is responsible for approximately 10% of total national CO2 emissions. Therefore, reducing the CO2 emissions in this sector will play a decisive role in achieving EU targets of reducing emissions by 40% by 2030. To better inform decisions regarding retrofit of the existing building stock, this study proposes Optimum Insulation Thicknesses (OIT) for typical walls in 25 regions in Ireland. The calculation of OIT includes annual heat energy expenditure, CO2 emissions, and material payback period. The approach taken is based on Heating …

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Private Groundwater Management And Risk Awareness: A Cross-Sectional Analysis Of Two Age-Related Subsets In The Republic Of Ireland, Simon Mooney, J. O'Dwyer, Paul Hynds Jan 2021

Private Groundwater Management And Risk Awareness: A Cross-Sectional Analysis Of Two Age-Related Subsets In The Republic Of Ireland, Simon Mooney, J. O'Dwyer, Paul Hynds

Articles

Risk communication represents the optimal instrument for decreasing the incidence of private groundwater contamination and associated waterborne illnesses. However, despite attempts to promote voluntary well maintenance in high groundwater-reliant regions such as the Republic of Ireland, awareness levels of supply status (e.g. structural integrity) have remained low. As investigations of supply awareness are often thematically narrow and homogeneous with respect to sub-population, revised analyses of awareness among both current and future supply owners (i.e. adults of typical well owner and student age) are necessary. Accordingly, the current study utilised a national survey of well users and an age-based comparison of …

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Towards An Improved Understanding Of Biogeochemical Processes Across Surface-Groundwater Interactions In Intermittent Rivers And Ephemeral Streams, Lluís Gómez-Gener Jan 2021

Towards An Improved Understanding Of Biogeochemical Processes Across Surface-Groundwater Interactions In Intermittent Rivers And Ephemeral Streams, Lluís Gómez-Gener

Articles

Surface-groundwater interactions in intermittent rivers and ephemeral streams (IRES), waterways which do not flow year-round, are spatially and temporally dynamic because of alternations between flowing, non-flowing and dry hydrological states. Interactions between surface and groundwater often create mixing zones with distinct redox gradients, potentially driving high rates of carbon and nutrient cycling. Yet a complete understanding of how underlying biogeochemical processes across surface-groundwater flowpaths in IRES differ among various hydrological states remains elusive. Here, we present a conceptual framework relating spatial and temporal hydrological variability in surface water-groundwater interactions to biogeochemical processing hotspots in IRES. We combine a review of …

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Socio-Economic Factors Associated With The Incidence Of Shiga-Toxin Producing Escherichia Coli (Stec) Enteritis And Cryptosporidiosis In The Republic Of Ireland, 2008–2017, Eiimear Cleary, Martin Boudou, Coilín Oscar Óhaiseadha, Patricia Garvey, Paul Mckeown, Jean O'Dwyer, Paul Hynds Jan 2021

Socio-Economic Factors Associated With The Incidence Of Shiga-Toxin Producing Escherichia Coli (Stec) Enteritis And Cryptosporidiosis In The Republic Of Ireland, 2008–2017, Eiimear Cleary, Martin Boudou, Coilín Oscar Óhaiseadha, Patricia Garvey, Paul Mckeown, Jean O'Dwyer, Paul Hynds

Articles

The Republic of Ireland (ROI) currently reports the highest incidence rates of Shiga-toxin producing Escherichia coli (STEC) enteritis and cryptosporidiosis in Europe, with the spatial distribution of both infections exhibiting a clear urban/rural divide. To date, no investigation of the role of socio-demographic profile on the incidence of either infection in the ROI has been undertaken. The current study employed bivariate analyses and Random Forest classification to identify associations between individual components of a national deprivation index and spatially aggregated cases of STEC enteritis and cryptosporidiosis. Classification accuracies ranged from 78.2% (STEC, urban) to 90.6% (cryptosporidiosis, rural). STEC incidence was …

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Development Of A Situational Judgement Test And An Assessment Of Its Efficacy As A Stimulus Of Metacognitive Behaviour In Engineering Students, Darren Carthy Jan 2021

Development Of A Situational Judgement Test And An Assessment Of Its Efficacy As A Stimulus Of Metacognitive Behaviour In Engineering Students, Darren Carthy

Doctoral

Metacognition entails the conscious evaluation and control of one's cognitive processes. This meta-level control of cognitive process is not essential for all activities, but in the domain of problem solving and the development of new expertise, conscious control of mental functioning is essential to success. Previous studies have shown a relationship between metacognitive knowledge & skills and student self-regulated learning, self-efficacy and more generally, with success in academic and non-academic endeavours; they represent critical skills for an aspiring engineer to possess for their future employability. Metacognition can be stimulated by allowing students to engage and reflect on the problem-solving process. …

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Application Of Big-Data For Epidemiological Studies Of Refractive Error, James Loughman Jan 2021

Application Of Big-Data For Epidemiological Studies Of Refractive Error, James Loughman

Articles

To examine whether data sourced from electronic medical records (EMR) and a large industrial spectacle lens manufacturing database can estimate refractive error distribution within large populations as an alternative to typical population surveys of refractive error.

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New Algorithm For Optimised Fitting Of Dic Data To Crack Tip Plastic Zone Using The Cjp Model, B Yang, Z Wei, Fa Díaz, Z Liao, Mn James Jan 2021

New Algorithm For Optimised Fitting Of Dic Data To Crack Tip Plastic Zone Using The Cjp Model, B Yang, Z Wei, Fa Díaz, Z Liao, Mn James

School of Engineering, Computing and Mathematics

The work presented in this paper provides guidance in optimally determining the appropriate fitting region used in digital image correlation (DIC) when fitting a crack tip field model to DIC data. In this work, the technique is applied to the CJP crack tip field model and uses the Levenberg-Marguardt (L-M) iterative method to solve for the crack tip position. This is combined with an error analysis of the main term of the Williams series expansion for crack tip stresses and the extrapolation of Saint-Venant’s principle to determine the optimum fitting region for use in DIC fit with the multi-parameter solution …

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Cross-Sectional Flattening-Induced Nonlinear Damped Vibration Of Elastic Tubes Subjected To Transverse Loads, Jue Zhu, Wei Bin Yuan, Long Yuan Li Jan 2021

Cross-Sectional Flattening-Induced Nonlinear Damped Vibration Of Elastic Tubes Subjected To Transverse Loads, Jue Zhu, Wei Bin Yuan, Long Yuan Li

School of Engineering, Computing and Mathematics

No abstract provided.

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A Linear Predictive Coding Filtering Method For Time-Resolved Morphology Of Eeg Activity, Jin Xu, Mark Davis, Ruairí De Fréin Jan 2021

A Linear Predictive Coding Filtering Method For Time-Resolved Morphology Of Eeg Activity, Jin Xu, Mark Davis, Ruairí De Fréin

Conference papers

This paper introduces a new time-resolved spectral analysis method based on the Linear Prediction Coding (LPC) method that is particularly suited to the study of the dynamics of EEG (Electroencephalography) activity. The spectral dynamics of EEG signals can be challenging to analyse as they contain multiple frequency components and are often corrupted by noise. The LPC Filtering (LPCF) method described here processes the LPC poles to generate a series of reduced-order filter transform functions which can accurately estimate the dominant frequencies. The LPCF method is a parameterized time-frequency method that is suitable for identifying the dominant frequencies of multiple-component signals …

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Direct Multiplexing Of Low Order Aberration Modes In A Photopolymerbased Holographic Element For Analog Holographic Wavefront Sensing, Emma Branigan, Suzanne Martin, Matthew Sheehan, Kevin Murphy Jan 2021

Direct Multiplexing Of Low Order Aberration Modes In A Photopolymerbased Holographic Element For Analog Holographic Wavefront Sensing, Emma Branigan, Suzanne Martin, Matthew Sheehan, Kevin Murphy

Conference Papers

The fabrication of an analog holographic wavefront sensor, capable of detecting the low order defocus aberration, was achieved in an acrylamide-based photopolymer. While other implementations of holographic wavefront sensors have been carried out digitally, this process utilises a recording setup consisting only of conventional refractive elements so the cost and complexity of holographic optical element (HOE) production could be much reduced. A pair of diffraction spots, corresponding to a maximum and minimum amount of defocus, were spatially separated in the detector plane by multiplexing two HOEs with different carrier spatial frequencies. For each wavefront with a known aberration that was …

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Winter Measurements Of Heavy-Duty Vehicles To Characterize The Cold Temperature Effectiveness Of Selective Catalytic Reductions Catalyst In Controlling Oxide Of Nitrogen Emissions, Gary A. Bishop, Molly J. Haugen, Brian C. Mcdonald Jan 2021

Winter Measurements Of Heavy-Duty Vehicles To Characterize The Cold Temperature Effectiveness Of Selective Catalytic Reductions Catalyst In Controlling Oxide Of Nitrogen Emissions, Gary A. Bishop, Molly J. Haugen, Brian C. Mcdonald

Fuel Efficiency Automobile Test Publications

No abstract provided.

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On-Road Remote Sensing Of Automobile Emissions In The Chicago Area: Fall 2020, Gary A. Bishop Jan 2021

On-Road Remote Sensing Of Automobile Emissions In The Chicago Area: Fall 2020, Gary A. Bishop

Fuel Efficiency Automobile Test Publications

No abstract provided.

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A Novel User Oriented Network Forensic Analysis Tool, Dany Joy Jan 2021

A Novel User Oriented Network Forensic Analysis Tool, Dany Joy

School of Engineering, Computing and Mathematics Theses

In the event of a cybercrime, it is necessary to examine the suspect’s digital device(s) in a forensic fashion so that the culprit can be presented in court along with the extracted evidence(s). But, factors such as existence and availability of anti-forensic tools/techniques and increasing replacement of hard disk drives with solid state disks have the ability to eradicate critical evidences and/or ruin their integrity. Therefore, having an alternative source of evidence with a lesser chance of being tampered with can be beneficial for the investigation. The organisational network traffic can fit into this role as it is an independent …

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A Novel Method Based On Long Short Term Memory Network And Discrete-Time Zeroing Neural Algorithm For Upper-Limb Continuous Estimation Using Semg Signals, Yuanyuan Chai, Keping Liu, Chunxu Li, Zhongbo Sun, Long Jin, Tian Shi Jan 2021

A Novel Method Based On Long Short Term Memory Network And Discrete-Time Zeroing Neural Algorithm For Upper-Limb Continuous Estimation Using Semg Signals, Yuanyuan Chai, Keping Liu, Chunxu Li, Zhongbo Sun, Long Jin, Tian Shi

School of Engineering, Computing and Mathematics

In this paper, a novel closed-loop model based on surface electromyography (sEMG) comprised a long short term memory (LSTM) network and discrete-time zeroing neural algorithm called zeroing neural network (ZNN), which is developed to estimate joint angles and angular velocities of human upper limb with joint damping. The dynamic model of human upper limb with joint damping is set up as the initial equation. Then, the LSTM network is proposed as an open-loop model which described the input-output relationship between the sEMG signals and joint motion intention. Besides, a novel closed-loop model is built via ZNN for eliminating the predicted …

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On The Relation Between Robustness, Evolvability And Phenotypic Complexity: Insight From Artificial Evolutionary Experiments, Nicola Milano Jan 2021

On The Relation Between Robustness, Evolvability And Phenotypic Complexity: Insight From Artificial Evolutionary Experiments, Nicola Milano

School of Engineering, Computing and Mathematics Theses

This thesis addresses the study of evolutionary methods to achieve robustness and evolvability in artificial systems. Chapter 1 introduces the research area, reviews the state of the art, discusses promising research directions, and presents the two major scientific objectives of the thesis. The first objective, which is covered in Chapter 2, is to verify and exploit the impact of the environmental variations on the evolvability of an artificial system. This is accomplished through the use of two experimental setup: the simulation of digital circuits and the simulation of a robotic agent situated in an external environment. Digital circuits are used …

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Solid Waste Management In Developing Countries: Reusing Of Steel Slag Aggregate In Eco-Friendly Interlocking Concrete Paving Blocks Production, Oluwarotimi Olofinnade, Ayoyinka Morawo, Oluwatomisin Okedairo, Boksun Kim Jan 2021

Solid Waste Management In Developing Countries: Reusing Of Steel Slag Aggregate In Eco-Friendly Interlocking Concrete Paving Blocks Production, Oluwarotimi Olofinnade, Ayoyinka Morawo, Oluwatomisin Okedairo, Boksun Kim

School of Engineering, Computing and Mathematics

The needs to meet the global demand for the conservation of non-renewable resources has necessitated the efforts of finding alternative materials. This current study investigates the beneficial utilization of the crushed waste furnace steel slag as a replacement for natural sand in concrete interlocking paving block units’ production for pedestrian and non-traffic applications. A total number of 144 paver samples were cast at replacement percentages of 0, 20, 40, 60, 80 and 100 % by weight of sand using a mix proportion ratio of 1:1.5:3 (cement: sand: granite) at a constant water-cement ratio of 0.5, targeting a strength of 20 …

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Autonomic Management Of Service Level Agreements In Cloud Computing, Stefan Edwin Karl Frey Jan 2021

Autonomic Management Of Service Level Agreements In Cloud Computing, Stefan Edwin Karl Frey

School of Engineering, Computing and Mathematics Theses

Autonomic Management of Service Level Agreements in Cloud Computing Cloud computing has been one of the major trending topics of recent years in the Information Technology (IT) industry. In contrary to the previous IT service delivery models, where all the services and resources were hosted locally, the idea behind cloud computing is to deliver computing resources or services on-demand over a network on an easy pay-per-use business model. This paradigm change included almost all areas of the modern IT landscape, be it the storage and sharing of data for example with services like Dropbox, Microsoft OneDrive or Google Drive or …

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Developmental Neurorobotics Models Of Counting And Numerosity Judgment, Leszek Pecyna Jan 2021

Developmental Neurorobotics Models Of Counting And Numerosity Judgment, Leszek Pecyna

School of Engineering, Computing and Mathematics Theses

This thesis presents novel developmental robotics models of number cognition which take into account the embodied basis of this process. The ability to perceive quantity is undoubtedly crucial for both humans and animals. Nowadays, automation is becoming increasingly important in society; it seems that the way, similar to humans, to perceive and process numbers is one of the pressing issues for the future of robotics. This is important in the context of proper interaction between robots and humans which requires machines - at least on some level - to understand complex/abstract words such as number names. This thesis takes into …

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Statistical Inference About Bivariate Survival Data With Semi-Competing Risks Using Copulas, Lexy Sorrell Jan 2021

Statistical Inference About Bivariate Survival Data With Semi-Competing Risks Using Copulas, Lexy Sorrell

School of Engineering, Computing and Mathematics Theses

Bivariate, semi-competing risk data are survival endpoints where a terminal event can censor a non-terminal event, but not vice versa. An example is the endpoints of graft failure and death; death can censor graft failure, but graft failure cannot censor death. There are potential correlations between these endpoints as they are measured on the same individual. Traditional methods of calculating correlations cannot be used directly as censoring can occur on one or both survival endpoints. We develop methods using a copula-based approach to study the dependence structures between two survival endpoints while the marginal distributions are fixed. We use several …

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Technology Strategy For Developing The Assistive Robotics Market, Gabriel Esteban Aguiar Noury Jan 2021

Technology Strategy For Developing The Assistive Robotics Market, Gabriel Esteban Aguiar Noury

School of Engineering, Computing and Mathematics Theses

Robotics has increased productivity in industries such as manufacturing, defence and construction but less so in healthcare where, despite the pressures from demographic changes, barriers to the adoption of assistive robotics (AR) persist. Due to the cutting-edge nature of the technology, the field requires studies that explore how it is developed and applied, effectively resulting in the development of an AR market in healthcare. Therefore, the research question for this thesis is ‘What strategy can be adopted to develop the AR market?’ This thesis adopted a Collaborative Action Research methodology to explore the development of an AR market in one …

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