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2018

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Tracer Advection In An Idealised River Bend With Groynes, Mohammad Mahdi Jalali, Alistair G.L. Borthwick Jan 2018

Tracer Advection In An Idealised River Bend With Groynes, Mohammad Mahdi Jalali, Alistair G.L. Borthwick

School of Engineering, Computing and Mathematics

No abstract provided.

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Numerical Modelling Of Extreme Waves: The Role Of Nonlinear Wave-Wave Interactions, Thomas Vyzikas Jan 2018

Numerical Modelling Of Extreme Waves: The Role Of Nonlinear Wave-Wave Interactions, Thomas Vyzikas

School of Engineering, Computing and Mathematics Theses

The real monsters of the ocean, extreme waves, haunted mariners since the early days of human activities in the sea. Despite having caused numerous accidents and casualties, their systematic study began only in 2000s. Many mechanisms have been proposed to simulate these rare but catastrophic events, with the most prominent being wave focusing. This is connected to the NewWave theory, which has been used extensively in experimental and numerical modelling. However, the majority of the studies fail to capture the distinguishing characteristics of extreme waves, due to the inherent high nonlinearity of the problem and shortcomings of the modelling practice, …

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Research Methodology In Business: A Starter’S Guide, Mohamed Af Ragab, Amr Arisha Jan 2018

Research Methodology In Business: A Starter’S Guide, Mohamed Af Ragab, Amr Arisha

Articles

A cardinal requisite of successful research lies in the proper selection of the research methodology applied to achieve research objectives using the available resources. In addition to acquiring sufficient knowledge of their specific research topic, researchers are urged to develop good understanding of alternative research methodologies at their disposal to be able to identify the best-suited methods to address the research question. This, however, often poses a challenge for novice researchers who face difficulty in grasping the vast methodology landscape and its encompassing array of debates. The purpose of this paper is to provide new researchers with a comprehensive overview …

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The Equivocation Of Codes, Mark Schofield Jan 2018

The Equivocation Of Codes, Mark Schofield

School of Engineering, Computing and Mathematics Theses

EQUIVOCATION was introduced by Shannon in the late 1940’s in seminal papers that kick-started the whole field of information theory. Much ground has been covered on equivocation’s counterpart, channel capacity and in particular, its bounds. However, less work has been carried out on the evaluation of the equivocation of a code transmitted across a channel. The aim of the work covered in this thesis was to use a probabilistic approach to investigate and compare the equivocation of various codes across a range of channels. The probability and entropy of each output, given each input, can be used to calculate the …

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Advances In Numerical Techniques For Modelling Water Flows, Jian G. Zhou, Alistair Borthwick, Haifei Liu, Ling Qian Jan 2018

Advances In Numerical Techniques For Modelling Water Flows, Jian G. Zhou, Alistair Borthwick, Haifei Liu, Ling Qian

School of Engineering, Computing and Mathematics

This special issue aims to present recent advances in approaches to modelling water flows and their applications in engineering. Water occupies about 71% of the earth’s surface area and is essential for the survival of human beings, but natural disasters pose substantial societal, environmental, and economic hazards. Important and extremely challenging research topics arise from the need to understand water flows and develop mitigation measures against potential adverse impacts, such as urban flooding and coastal storm surge inundation.

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Understanding Market Inefficiency In The East Asian Region During Times Of Crisis, Lucia Morales, Bernadette Andreosso-O’Callaghan Jan 2018

Understanding Market Inefficiency In The East Asian Region During Times Of Crisis, Lucia Morales, Bernadette Andreosso-O’Callaghan

Articles

The study of financial market efficiency has important implications in terms of global macroeconomic stability. The case of six selected East Asian stock markets (China, Japan, Hong Kong, Malaysia, Singapore and South Korea) during the Asian Financial Crisis (AFC) and Global Financial Crisis (GFC) is analysed here using a battery of well-known econometric techniques that starts with traditional unit root testing for random walk behaviour. The six countries were selected on the basis of market capitalization to offer insights into the behaviour of the most relevant markets in the region. The results show that during both crises, these markets exhibited …

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Mathematics For Engineering Students In The 'Dual System': Assistance In Study Start-Up And Conduct, Katja Susanne Derr Jan 2018

Mathematics For Engineering Students In The 'Dual System': Assistance In Study Start-Up And Conduct, Katja Susanne Derr

School of Engineering, Computing and Mathematics Theses

One major characteristic of the transition from secondary to tertiary education is the high heterogeneity of students’ knowledge. In STEM-programmes, knowledge gaps in basic mathematics are considered one risk factor regarding graduation. One approach to this problem is the provision of preparatory courses in mathematics. The purpose of this mixed methods evaluation study was to identify factors supporting “at risk” students’ successful pre-course participation and transition to university. This issue was addressed using quantitative and qualitative evaluations carried out with six cohorts of engineering students at Baden-Wuerttemberg Cooperative State University Mannheim. Using the theory of self-regulated learning as a theoretical …

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An Investigation Into The Impact Of Visual-Spatial Difficulties On Learning Geometry, Sridhar Nagubandi Jan 2018

An Investigation Into The Impact Of Visual-Spatial Difficulties On Learning Geometry, Sridhar Nagubandi

School of Engineering, Computing and Mathematics Theses

This thesis reports the findings of my study of students with visual-spatial deficits in my specialist school in the city of New York. It is comprised of a pilot study, mathematical interviews, and interventions with students and teachers. This study is qualitative and primarily uses case studies to explain the interventions with both the students and the teachers. The study is made up of interventions with two students, and interventions with several teachers who work in my specialist K-12 school which includes both primary and secondary school teachers. Since very little research has been conducted in this field to this …

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Green Networking: Analyses Of Power Consumption Of Real And Complex Ifft/Fft Used In Next-Generation Networks And Optical Orthogonal Frequency Division Multiplexing, Sameer Sami Hassan Al-Obaidi Jan 2018

Green Networking: Analyses Of Power Consumption Of Real And Complex Ifft/Fft Used In Next-Generation Networks And Optical Orthogonal Frequency Division Multiplexing, Sameer Sami Hassan Al-Obaidi

School of Engineering, Computing and Mathematics Theses

The Orthogonal Frequency Division Multiplexing is a promising technology for the Next Generation Networks. This technique was selected because of the flexibility for the various parameters, high spectral efficiency, and immunity to ISI. The OFDM technique suffers from significant digital signal processing, especially inside the Inverse/ Fast Fourier Transform IFFT/FFT. This part is used to perform the orthogonality/De-orthogonality between the subcarriers which the important part of the OFDM system. Therefore, it is important to understand the parameter effects on the increase or to decrease the FPGA power consumption for the IFFT/FFT. This thesis is focusing on the FPGA power consumption …

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A Secure Quorum Based Multi-Tag Rfid System, Ayad Al-Adhami Jan 2018

A Secure Quorum Based Multi-Tag Rfid System, Ayad Al-Adhami

School of Engineering, Computing and Mathematics Theses

Radio Frequency Identification (RFID) technology has been expanded to be used in different fields that need automatic identifying and verifying of tagged objects without human intervention. RFID technology offers a great advantage in comparison with barcodes by providing accurate information, ease of use and reducing of labour cost. These advantages have been utilised by using passive RFID tags. Although RFID technology can enhance the efficiency of different RFID applications systems, researchers have reported issues regarding the use of RFID technology. These issues are making the technology vulnerable to many threats in terms of security and privacy. Different RFID solutions, based …

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On Beam Models And Their Paraxial Approximation, W. J. Waters, B. King Jan 2018

On Beam Models And Their Paraxial Approximation, W. J. Waters, B. King

School of Engineering, Computing and Mathematics

No abstract provided.

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Drivers Of Wearable Computing Adoption: An Empirical Study Of Success Factors Including It Security And Consumer Behaviour-Related Aspects, Lena Gribel Jan 2018

Drivers Of Wearable Computing Adoption: An Empirical Study Of Success Factors Including It Security And Consumer Behaviour-Related Aspects, Lena Gribel

School of Engineering, Computing and Mathematics Theses

The recent advances in information technologies have dramatically changed the manner in which people understand, experience and use IT systems. Wearable computers are emerging new technologies in the evolution of mobile devices, which introduce a paradigm shift in the field of human computer-interaction. By equipping the user with computational capabilities, ‘wearables’ provide context-aware and seamlessly integrated on-the-fly computing across heterogeneous circumstances and irrespective of place and time. Not least the very promising market prospects for wearable devices imply various unprecedented business opportunities and a vast economic potential of these socio-technological gadgets. Nonetheless, analysis of the current market situation shows that …

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Teaching Robots Social Autonomy From In Situ Human Supervision, Emmanuel Senft Jan 2018

Teaching Robots Social Autonomy From In Situ Human Supervision, Emmanuel Senft

School of Engineering, Computing and Mathematics Theses

Traditionally the behaviour of social robots has been programmed. However, increasingly there has been a focus on letting robots learn their behaviour to some extent from example or through trial and error. This on the one hand excludes the need for programming, but also allows the robot to adapt to circumstances not foreseen at the time of programming. One such occasion is when the user wants to tailor or fully specify the robot’s behaviour. The engineer often has limited knowledge of what the user wants or what the deployment circumstances specifically require. Instead, the user does know what is expected …

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Ergodicity Of The Llr Method For The Density Of States, Guido Cossu, Biagio Lucini, Roberto Pellegrini, Antonio Rago Jan 2018

Ergodicity Of The Llr Method For The Density Of States, Guido Cossu, Biagio Lucini, Roberto Pellegrini, Antonio Rago

School of Engineering, Computing and Mathematics

The LLR method is a novel algorithm that enables us to evaluate the density of states in lattice gauge theory. We present our study of the ergodicity properties of the LLR algorithm for the model of Yang Mills SU(3). We show that the use of the replica exchange method alleviates significantly the topological freeze-out that severely affects other algorithms.

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Numerical Experiments Using Deflation With The Hisq Action, Christine Davies, Carleton Detar, Craig Mcneile, Alejandro Vaquero Jan 2018

Numerical Experiments Using Deflation With The Hisq Action, Christine Davies, Carleton Detar, Craig Mcneile, Alejandro Vaquero

School of Engineering, Computing and Mathematics

We report on numerical experiments using deflation to compute quark propagators for the highly improved staggered quark (HISQ) action. The method is tested on HISQ gauge configurations, generated by the MILC collaboration, with lattice spacings of 0.15 fm, with a range of volumes, and sea quark masses down to the physical quark mass.

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Lattice Qcd On New Chips: A Community Summary, Antonio Rago Jan 2018

Lattice Qcd On New Chips: A Community Summary, Antonio Rago

School of Engineering, Computing and Mathematics

I review the most recent evolutions of the QCD codes on new architectures, with a focus on the performances obtained by the different coding strategies as presented during the Lattice2017 conference.

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The Evolution Of Free And Bound Waves During Dispersive Focusing In A Numerical And Physical Flume, Thomas Vyzikas, Dimitris Stagonas, Eugeny Buldakov, Deborah Greaves Jan 2018

The Evolution Of Free And Bound Waves During Dispersive Focusing In A Numerical And Physical Flume, Thomas Vyzikas, Dimitris Stagonas, Eugeny Buldakov, Deborah Greaves

School of Engineering, Computing and Mathematics

No abstract provided.

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Tsunami Generation By Combined Fault Rupture And Landsliding, Del Postigo Prieto N Perez, A Raby, Sj Boulton, C Whittaker Jan 2018

Tsunami Generation By Combined Fault Rupture And Landsliding, Del Postigo Prieto N Perez, A Raby, Sj Boulton, C Whittaker

School of Engineering, Computing and Mathematics

Tsunami generation and propagation mechanisms should be clearly understood in order to inform predictive models and improve coastal community preparedness. Experimental results, supported by mathematical models, could potentially provide valuable input data for standard predictive models of tsunami generation and propagation. A unique set-up has been developed to reproduce a dual-source tsunami generation mechanism. The test-rig replicates a two-dimensional underwater fault rupture followed by a submarine landslide. The set-up was placed in a 20m flume of the COAST laboratory at Plymouth University. The aim of the experiments is to provide quality data for developing a parametrization of the initial conditions …

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Qos Assessment And Modelling Of Connected Vehicle Network Within Internet Of Vehicles, Ai Khan, C Goh, Cl Lim, S Sharma Jan 2018

Qos Assessment And Modelling Of Connected Vehicle Network Within Internet Of Vehicles, Ai Khan, C Goh, Cl Lim, S Sharma

School of Engineering, Computing and Mathematics

Connected vehicles have huge potential in improving road safety and traffic congestion. The primary aim of this paper is threefold: firstly to present an overview of network models in connected vehicles; secondly to analyze the factors that impact the Quality of Service (QoS) of connected vehicles and thirdly to present initial modelling results on Link QoS. We use the open access Geometry-based Efficient Propagation Model (GEMV2) data to carry out Analysis of Variance, Principal Component Analysis and Classical Multi-Dimensional scaling on the link quality for vehicle-2-vehicle (V2V) and vehicle-2-infrastucture (V2i) data and found that both line of sight and non-line …

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The Effects Of Graphene Oxide Flakes On The Mechanical Properties Of Cement Mortar, Boksun Kim Jan 2018

The Effects Of Graphene Oxide Flakes On The Mechanical Properties Of Cement Mortar, Boksun Kim

School of Engineering, Computing and Mathematics

No abstract provided.

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Dynamic Neighbour Aware Power-Controlled Mac For Multi-Hop Ad-Hoc Networks, Jims Marchang, Roderick Douglas, Bogdan Ghita, David Lancaster, Benjamin Sanders Jan 2018

Dynamic Neighbour Aware Power-Controlled Mac For Multi-Hop Ad-Hoc Networks, Jims Marchang, Roderick Douglas, Bogdan Ghita, David Lancaster, Benjamin Sanders

School of Engineering, Computing and Mathematics

No abstract provided.

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The 2018 International Conference On Unmanned Aircraft Systems, R Polvara, M Patacchiola, S Sharma, J Wan, A Manning, R Sutton, A Cangelosi Jan 2018

The 2018 International Conference On Unmanned Aircraft Systems, R Polvara, M Patacchiola, S Sharma, J Wan, A Manning, R Sutton, A Cangelosi

School of Engineering, Computing and Mathematics

The autonomous landing of an unmanned aerial vehicle (UAV) is still an open problem. Previous work focused on the use of hand-crafted geometric features and sensor-data fusion for identifying a fiducial marker and guide the UAV toward it. In this article we propose a method based on deep reinforcement learning that only requires low-resolution images coming from a down looking camera in order to drive the vehicle. The proposed approach is based on a hierarchy of Deep Q-Networks (DQNs) that are used as high-end control policy for the navigation in different phases. We implemented various technical solutions, such as the …

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Bottle House: A Case Study Of Transdisciplinary Research For Tackling Global Challenges, Muyiwa Oyinlola, T Whiteheadb, A Abuzeinabc, A Adefilad, Yewande Akinola, Fatai Anafi, Farukh Farukh, Oluyemi Jegede, Karthikeyan Kandan, Boksun Kim, Emmanuel Mosugu Jan 2018

Bottle House: A Case Study Of Transdisciplinary Research For Tackling Global Challenges, Muyiwa Oyinlola, T Whiteheadb, A Abuzeinabc, A Adefilad, Yewande Akinola, Fatai Anafi, Farukh Farukh, Oluyemi Jegede, Karthikeyan Kandan, Boksun Kim, Emmanuel Mosugu

School of Engineering, Computing and Mathematics

No abstract provided.

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Non-Intrusive Appliance Load Monitoring Using Genetic Algorithms, D. Hock, M. Kappes, B. Ghita Jan 2018

Non-Intrusive Appliance Load Monitoring Using Genetic Algorithms, D. Hock, M. Kappes, B. Ghita

School of Engineering, Computing and Mathematics

No abstract provided.

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Starting A Wave Structure Interaction Cfd Simulation From An Advance Time: Hot-Start, P-H Musiedlak, Ej Ransley, S Brown, B Child, Mr Hann, G Iglesias, Dm Greaves Jan 2018

Starting A Wave Structure Interaction Cfd Simulation From An Advance Time: Hot-Start, P-H Musiedlak, Ej Ransley, S Brown, B Child, Mr Hann, G Iglesias, Dm Greaves

School of Engineering, Computing and Mathematics

No abstract provided.

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Extreme Coastal Responses Using Focused Wave Groups: Overtopping And Horizontal Forces Exerted On An Inclined Seawall, C. N. Whittaker, C. J. Fitzgerald, A. C. Raby, P. H. Taylor, A. G.L. Borthwick Jan 2018

Extreme Coastal Responses Using Focused Wave Groups: Overtopping And Horizontal Forces Exerted On An Inclined Seawall, C. N. Whittaker, C. J. Fitzgerald, A. C. Raby, P. H. Taylor, A. G.L. Borthwick

School of Engineering, Computing and Mathematics

No abstract provided.

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Experimental Modal Analysis Of British Rock Lighthouses, James Mark William Brownjohn, Alison Raby, James Bassitt, Alessandro Antonini, Emma Hudson, Peter Dobson Jan 2018

Experimental Modal Analysis Of British Rock Lighthouses, James Mark William Brownjohn, Alison Raby, James Bassitt, Alessandro Antonini, Emma Hudson, Peter Dobson

School of Engineering, Computing and Mathematics

© 2018 The Authors Iconic lighthouses constructed on offshore reefs around the British Isles in the 19th century continue to play a crucial role in safe navigation, but the longevity of these historical structures is threatened by extreme weather. A program of experimental dynamic investigations has been carried out to support characterisation of extreme impulsive breaking wave loads on these structures, using monitored response data. This paper describes the procedures and outcomes of this program, which included modal tests of a collection of six of these lighthouses between June 2016 and October 2017. Five of the six lighthouses tested (Les …

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Visualisation With Treemaps And Sunbursts In Evolutionary Many-Objective Optimisation, David J. Walker Jan 2018

Visualisation With Treemaps And Sunbursts In Evolutionary Many-Objective Optimisation, David J. Walker

School of Engineering, Computing and Mathematics

No abstract provided.

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Bayesian Hierarchical Models For Linear Networks, Zainab A A Al-Kaabawi Jan 2018

Bayesian Hierarchical Models For Linear Networks, Zainab A A Al-Kaabawi

School of Engineering, Computing and Mathematics Theses

A motorway network is handled as a linear network. The purpose of this study is to highlight dangerous motorways via estimating the intensity of accidents and study its pattern across the UK motorway network. Two mechanisms have been adopted to achieve this aim. The first, the motorway-specific intensity is estimated by modelling the point pattern of the accident data using a homogeneous Poisson process. The homogeneous Poisson process is used to model all intensities but heterogeneity across motorways is incorporated using two-level hierarchical models. The data structure is multilevel since each motorway consists of junctions that are joined by grouped …

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Action Learning Experiments Using Spiking Neural Networks And Humanoid Robots, Ricardo De Azambuja Jan 2018

Action Learning Experiments Using Spiking Neural Networks And Humanoid Robots, Ricardo De Azambuja

School of Engineering, Computing and Mathematics Theses

The way our brain works is still an open question, but one thing seems to be clear: biological neural systems are computationally powerful, robust and noisy. Natural nervous system are able to control limbs in different scenarios with high precision. As neural networks in living beings communicate through spikes, modern neuromorphic systems try to mimic them by using spike-based neuron models. This thesis is focused on the advancement of neurorobotics or brain inspired robotic arm controllers based on artificial neural network architectures. The architecture chosen to implement those controllers was the spike neuron version of Reservoir Computing framework, called Liquid …

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