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2022

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Real-World Smartphone-Based Gait Recognition, Hind Alobaidi, Nathan Clarke, Fudong Li, Abdulrahmanalruban Jan 2022

Real-World Smartphone-Based Gait Recognition, Hind Alobaidi, Nathan Clarke, Fudong Li, Abdulrahmanalruban

School of Engineering, Computing and Mathematics

No abstract provided.


Nursing Students' Attitudes Towards Climate Change And Sustainability: A Cross-Sectional Multisite Study, Carmen Álvarez-Nieto, Janet Richardson, M. Ángeles Navarro-Perán, Naomi Tutticci, Norma Huss, Marie Elf, Anna Anåker, Jennie Aronsson, Heather Baid, Isabel M. López-Medina Jan 2022

Nursing Students' Attitudes Towards Climate Change And Sustainability: A Cross-Sectional Multisite Study, Carmen Álvarez-Nieto, Janet Richardson, M. Ángeles Navarro-Perán, Naomi Tutticci, Norma Huss, Marie Elf, Anna Anåker, Jennie Aronsson, Heather Baid, Isabel M. López-Medina

School of Nursing and Midwifery

No abstract provided.


What Matters Most To Adults With A Tracheostomy In Icu And The Implications For Clinical Practice: A Qualitative Systematic Review And Metasynthesis, Helen Newman, Gemma Clunie, Sarah Wallace, Christina Smith, Daniel Martin, Natalie Pattison Jan 2022

What Matters Most To Adults With A Tracheostomy In Icu And The Implications For Clinical Practice: A Qualitative Systematic Review And Metasynthesis, Helen Newman, Gemma Clunie, Sarah Wallace, Christina Smith, Daniel Martin, Natalie Pattison

Peninsula Medical School

Purpose Tracheostomy is a common surgical procedure in ICU. Whilst often life-saving, it can have important impacts on patients. Much of the literature on tracheostomy focuses on timing and technique of insertion, risk factors and complications. More knowledge of patient experience of tracheostomy in ICU is needed to support person-centred care. Materials and methods Qualitative systematic review and metasynthesis of the literature on adult experience of tracheostomy in ICU. Comprehensive search of four bibliographic databases and grey literature. Title and abstract screening and full text eligibility was completed independently by two reviewers. Metasynthesis was achieved using thematic synthesis, supported by …


Life In The Freezer: Protein Metabolism In Antarctic Fish, Keiron P.P. Fraser, Lloyd S. Peck, Melody S. Clark, Andrew Clarke, Simeon L. Hill Jan 2022

Life In The Freezer: Protein Metabolism In Antarctic Fish, Keiron P.P. Fraser, Lloyd S. Peck, Melody S. Clark, Andrew Clarke, Simeon L. Hill

School of Biological and Marine Sciences

Whole-animal, in vivo protein metabolism rates have been reported in temperate and tropical, but not Antarctic fish. Growth in Antarctic species is generally slower than lower latitude species. Protein metabolism data for Antarctic invertebrates show low rates of protein synthesis and unusually high rates of protein degradation. Additionally, in Antarctic fish, increasing evidence suggests a lower frequency of successful folding of nascent proteins and reduced protein stability. This study reports the first whole-animal protein metabolism data for an Antarctic fish. Groups of Antarctic, Harpagifer antarcticus, and temperate, Lipophrys pholis, fish were acclimatized to a range of overlapping water temperatures and …


Automatically Generating Natural Language Descriptions Of Images By A Deep Hierarchical Framework, Lin Huo, Lin Bai, Shang Ming Zhou Jan 2022

Automatically Generating Natural Language Descriptions Of Images By A Deep Hierarchical Framework, Lin Huo, Lin Bai, Shang Ming Zhou

School of Nursing and Midwifery

Automatically generating an accurate and meaningful description of an image is very challenging. However, the recent scheme of generating an image caption by maximizing the likelihood of target sentences lacks the capacity of recognizing the human–object interaction (HOI) and semantic relationship between HOIs and scenes, which are the essential parts of an image caption. This article proposes a novel two-phase framework to generate an image caption by addressing the above challenges: 1) a hybrid deep learning and 2) an image description generation. In the hybrid deep-learning phase, a novel factored three-way interaction machine was proposed to learn the relational features …


Theory Protection: Do Humans Protect Existing Associative Links?, Stuart G. Spicer, Chris J. Mitchell, Andy J. Wills, Katie L. Blake, Peter M. Jones Jan 2022

Theory Protection: Do Humans Protect Existing Associative Links?, Stuart G. Spicer, Chris J. Mitchell, Andy J. Wills, Katie L. Blake, Peter M. Jones

Peninsula Medical School

No abstract provided.


Effect Of Post-Operative Goal-Directed Fluid Therapy (Gdft) On Organ Function After Orthotopic Liver Transplantation: Secondary Outcome Analysis Of The Colt Randomised Control Trial, Farid Froghi, Vignesh Gopalan, Zachos Anastasiou, Rahul Koti, Kurinchi Gurusamy, Christine Eastgate, Margaret Mcneil, Helder Filipe, Manuel Pinto, Jeshika Singh, Louise Longworth, Susan Mallett, Nick Schofield, Douglas Thorburn, Daniel Martin, Brian R. Davidson Jan 2022

Effect Of Post-Operative Goal-Directed Fluid Therapy (Gdft) On Organ Function After Orthotopic Liver Transplantation: Secondary Outcome Analysis Of The Colt Randomised Control Trial, Farid Froghi, Vignesh Gopalan, Zachos Anastasiou, Rahul Koti, Kurinchi Gurusamy, Christine Eastgate, Margaret Mcneil, Helder Filipe, Manuel Pinto, Jeshika Singh, Louise Longworth, Susan Mallett, Nick Schofield, Douglas Thorburn, Daniel Martin, Brian R. Davidson

Peninsula Medical School

No abstract provided.


A Computational Method To Track The Evolution Of Business Models In The Digital Economy, Z Wood, D Walker, G Parry Jan 2022

A Computational Method To Track The Evolution Of Business Models In The Digital Economy, Z Wood, D Walker, G Parry

School of Engineering, Computing and Mathematics

Companies within the Digital Economy are evolving their business models as they take advantage of the opportunities afforded by emerging digital technologies. There is a need to develop methods that will allow researchers and policy makers to understand the existence of, and relationships between, the different business models within the Digital Economy and track their evolution. Such methods could also help quantify the size and growth of the Digital Economy. This paper presents a computational method, which utilizes machine learning and web scraping, to identify new business models, and a taxonomy of organisations, through the analysis of a firm's webpage. …


Resilient Placement Of Vnfs And Distributed Mano Components In A Wmn-Based Nfv Infrastructure, G Frick, U Trick, A Lehmann, B Ghita Jan 2022

Resilient Placement Of Vnfs And Distributed Mano Components In A Wmn-Based Nfv Infrastructure, G Frick, U Trick, A Lehmann, B Ghita

School of Engineering, Computing and Mathematics

No abstract provided.


Performance Of An Adaptive Aggregation Mechanism In A Noisy Wlan Downlink Mu-Mimo Channel, Lemlem Kassa, Mark Davis, Jianhua Deng, Jingye Cai Jan 2022

Performance Of An Adaptive Aggregation Mechanism In A Noisy Wlan Downlink Mu-Mimo Channel, Lemlem Kassa, Mark Davis, Jianhua Deng, Jingye Cai

Articles

This paper investigates an adaptive frame aggregation technique in the medium access control (MAC) layer for the Wireless Local Area Network (WALN) downlink Multi-User–Multiple-In Multiple-Out (MU-MIMO) channel. In tackling the challenges of heterogeneous traffic demand among spatial streams, we proposed a new adaptive aggregation algorithm which has a superior performance over the baseline First-in–First-Out (FIFO) scheme in terms of system throughput performance and channel utilization. However, this earlier work does not consider the effects of wireless channel error. In addressing the limitations of this work, this study contributes an enhanced version of the earlier model considering the effect of channel …


Synchronized Seed Germination And Seedling Growth Of Black Cumin, Mohammed Elsayed El-Mahrouk, Mossad Khairy Maamoun, Yaser Hassan Dewir, Antar Nasr El-Banna, Hail Z. Rihan, Ahmed Salamh, Ahmed A. Al-Aizari, Michael P. Fuller Jan 2022

Synchronized Seed Germination And Seedling Growth Of Black Cumin, Mohammed Elsayed El-Mahrouk, Mossad Khairy Maamoun, Yaser Hassan Dewir, Antar Nasr El-Banna, Hail Z. Rihan, Ahmed Salamh, Ahmed A. Al-Aizari, Michael P. Fuller

School of Biological and Marine Sciences

Black cumin (Nigella sativa) is an important medicinal plant in the pharmacological industry. It is cultivated on a commercial scale, but its seeds have a slow, unsynchronized germination rate. Enhancing seed germination is crucial for improving the production of black cumin. The influence of presowing treatments [gibberellic acid (GA3), potassium nitrate, salicylic acid, and stratification at 4 °C] on seed germination was assessed. Seed germination was determined daily for 30 days, and germination parameters, including final germination percentage (FGP), corrected germination rate, number of days to reach 50% of FGP, and seedling length vigor index, were evaluated. Endogenous contents of …


Complex Urban Environments Provide Apis Mellifera With A Richer Plant Forage Than Suburban And More Rural Landscapes, Graeme Fox, Latha R. Vellaniparambil, Loreto Ros, Joshua Sammy, Richard F. Preziosi, Jennifer K. Rowntree Jan 2022

Complex Urban Environments Provide Apis Mellifera With A Richer Plant Forage Than Suburban And More Rural Landscapes, Graeme Fox, Latha R. Vellaniparambil, Loreto Ros, Joshua Sammy, Richard F. Preziosi, Jennifer K. Rowntree

School of Biological and Marine Sciences

Growth in the global development of cities, and increasing public interest in beekeeping, has led to increase in the numbers of urban apiaries. Towns and cities can provide an excellent diet for managed bees, with a diverse range of nectar and pollen available throughout a long flowering season, and are often more ecologically diverse than the surrounding rural environments. Accessible urban honeybee hives are a valuable research resource to gain insights into the diet and ecology of wild pollinators in urban settings. We used DNA metabarcoding of the rbcL and ITS2 gene regions to characterize the pollen community in Apis …


Water Table Depth Modulates Productivity And Biomass Across Amazonian Forests, Thaiane R. Sousa, Juliana Schietti, Io Ribeiro, Thaise Emílio, Rafael Herrera Fernández, Steege H Ter, Carolina V. Castilho, A Esquivel‐Muelbert, Timothy Baker, A Pontes‐Lopes, Cvj Silva, Jm Silveira, Géraldine Derroire, Wendeson Castro, Am Mendoza, Ademir Ruschel, Adriana Prieto, Adriano José Nogueira Lima, Agustín Rudas, A Araujo‐Murakami, Alexander Parada Gutierrez, Ana Andrade, Anand Roopsind, Angelo Gilberto Manzatto, Fiore A Di, A Torres‐Lezama, Aurélie Dourdain, B Marimon, Bh Marimon, Benoit Burban Jan 2022

Water Table Depth Modulates Productivity And Biomass Across Amazonian Forests, Thaiane R. Sousa, Juliana Schietti, Io Ribeiro, Thaise Emílio, Rafael Herrera Fernández, Steege H Ter, Carolina V. Castilho, A Esquivel‐Muelbert, Timothy Baker, A Pontes‐Lopes, Cvj Silva, Jm Silveira, Géraldine Derroire, Wendeson Castro, Am Mendoza, Ademir Ruschel, Adriana Prieto, Adriano José Nogueira Lima, Agustín Rudas, A Araujo‐Murakami, Alexander Parada Gutierrez, Ana Andrade, Anand Roopsind, Angelo Gilberto Manzatto, Fiore A Di, A Torres‐Lezama, Aurélie Dourdain, B Marimon, Bh Marimon, Benoit Burban

School of Geography, Earth and Environmental Sciences

Aim: Water availability is the major driver of tropical forest structure and dynamics. Most research has focused on the impacts of climatic water availability, whereas remarkably little is known about the influence of water table depth and excess soil water on forest processes. Nevertheless, given that plants take up water from the soil, the impacts of climatic water supply on plants are likely to be modulated by soil water conditions. Location: Lowland Amazonian forests. Time period: 1971–2019. Methods: We used 344 long-term inventory plots distributed across Amazonia to analyse the effects of long-term climatic and edaphic water supply on forest …


Characterization Of Non‐Planar Crack Tip Displacement Fields Using A Differential Geometry Approach In Combination With 3d Digital Image Correlation, A Camacho‐Reyes, Jm Vasco‐Olmo, Mn James, Fa Diaz Jan 2022

Characterization Of Non‐Planar Crack Tip Displacement Fields Using A Differential Geometry Approach In Combination With 3d Digital Image Correlation, A Camacho‐Reyes, Jm Vasco‐Olmo, Mn James, Fa Diaz

School of Engineering, Computing and Mathematics

No abstract provided.


Towards A New Methodology For The Characterisation Of Crack Tip Fields Based On A Hybrid Computational Approach, A Camacho-Reyes, Jm Vasco-Olmo, Mn James, Fa Diaz Jan 2022

Towards A New Methodology For The Characterisation Of Crack Tip Fields Based On A Hybrid Computational Approach, A Camacho-Reyes, Jm Vasco-Olmo, Mn James, Fa Diaz

School of Engineering, Computing and Mathematics

No abstract provided.


Embrittlement Failure Of 51crv4 Leaf Springs, Mn James, Dg Hattingh, L Matthews Jan 2022

Embrittlement Failure Of 51crv4 Leaf Springs, Mn James, Dg Hattingh, L Matthews

School of Engineering, Computing and Mathematics

High strength quenched and tempered alloys are used in the manufacture of leaf springs, and peening techniques are used to induce compressive residual stresses on the tension surface of the individual leaves to resist fatigue crack growth. However, the extent of such residual stresses is usually limited to around 0.1–0.2 mm deep. Their beneficial effect can therefore be negated by corrosion pitting, while high strength steels are known to also be susceptible to environmental embrittlement in high chloride environments. This case study deals with an interesting example of environmental embrittlement of multileaf springs reportedly made from 60Si2Mn steel, but actually …


The Numerical Re-Creation Of Experimentally Generated Nonlinear Irregular Wave Fields Using A Time-Reversal Approach, S. Draycott, P. K. Stansby, M. L. Mcallister, T. Davey, L. Jordan, T. Tosdevin, M. Hann Jan 2022

The Numerical Re-Creation Of Experimentally Generated Nonlinear Irregular Wave Fields Using A Time-Reversal Approach, S. Draycott, P. K. Stansby, M. L. Mcallister, T. Davey, L. Jordan, T. Tosdevin, M. Hann

School of Engineering, Computing and Mathematics

Physical model testing in irregular waves is often used to assess performance, and validate numerical models, of offshore structures and platforms, yet the full phase-resolved experimental conditions including reflections and correct nonlinearity are seldom replicated numerically. This results in uncertainty in numerical model validation, particularly when considering extremes. Herein we assess a time-reversal approach for the accurate numerical replication of experimentally generated wave fields. Fifteen irregular sea states, including steep and breaking cases, are generated in two large laboratories in the UK and replicated numerically using the time-domain nonlinear potential flow code OceanWave3D. Through statistical, temporal, and spatial analysis, the …


The Art Of Poetry And Its Place In The History Of The Coordinating Research Councils Real World Emissions Workshop {Poster}, Gary A. Bishop Jan 2022

The Art Of Poetry And Its Place In The History Of The Coordinating Research Councils Real World Emissions Workshop {Poster}, Gary A. Bishop

Fuel Efficiency Automobile Test Publications

No abstract provided.


Tackling Big Data Variety Using Metadata, Georgios Vranopoulos Jan 2022

Tackling Big Data Variety Using Metadata, Georgios Vranopoulos

School of Engineering, Computing and Mathematics Theses

The creation of new knowledge from manipulating and analysing existing knowledge is one of the primary objectives of any cognitive system. Out of the Big Data governing Vs, namely Volume, Velocity, Variety, Veracity, Validity, Volatility and Value, the first three are considered the primary ones. Most of the effort on Big Data research has been focussed upon Volume and Velocity, while Variety, “the ugly duckling” of Big Data, is often neglected and difficult to solve. A principal challenge with Variety is being able to understand and comprehend the data in gaining insight. Organisations have been investing in analytics relying on …


Physical Modelling Of Wave Group Interactions With A Vertical Wall, William Mortimer Jan 2022

Physical Modelling Of Wave Group Interactions With A Vertical Wall, William Mortimer

School of Engineering, Computing and Mathematics Theses

Coastal communities are becoming increasingly exposed to wave-induced flood events due to climate change. Accurate prediction of wave-structure interactions are vital in order to achieve long lasting and economical defences for such communities. Amongst the interactions of importance for design are wave runup and force. This thesis describes data from experiments in laboratory flumes. The novel contribution is with application and validation of second-order wave generation for experiments in shallow to intermediate water depth. The thesis builds on a substantial body of work by coastal engineers to validate focused wave groups, established in offshore engineering, for coastal experiments. Free error …


Flexible Goal-Directed Manipulation Of Representations: Computational Models Of Healthy And Pathological Human Cognition, Giovanni Granato Jan 2022

Flexible Goal-Directed Manipulation Of Representations: Computational Models Of Healthy And Pathological Human Cognition, Giovanni Granato

School of Engineering, Computing and Mathematics Theses

The brain is able to manipulate itself, adapting its internal world in a changing environment. In particular it continuously manipulates its representations to achieve goals. This competence is supported by many neurocognitive high-order processes that interact during the performance of a goal-directed behaviour (e.g. attention processes, executive functions, motivational systems). Overall, adult humans often face a new problem trough a change of the `perceptual point of view' (i.e. a representational change), rather then an extended research of the correct action to perform. On the other hand, infants and children contemporary develop motor competence and task-directed perceptual representations (e.g. categorical perception). …


Consumer Reactions To Alcohol Advertising Health Warnings In Ireland: An Experimental Research Study, Vania Filipova Jan 2022

Consumer Reactions To Alcohol Advertising Health Warnings In Ireland: An Experimental Research Study, Vania Filipova

Doctoral

Introduction and Aims As part of several measures to inform consumers about the health risks of alcohol and reduce alcohol consumption, the Irish Government signed into law the Public Health (Alcohol) Act 2018, with Section 13 requiring the implementation of multiple health warnings in all alcohol ads. While health warnings on product labels have been subject to intensive political discussion and academic research, health warnings in alcohol ads have received little attention and empirical support. This doctoral dissertation investigates whether health warnings in alcohol ads can promote cognitive and affective reactions in consumers. Furthermore, this thesis also examines whether the …


Heritage Requires Citizens’ Knowledge: The Cost Place-Making Action And Responsible Research, Heike Oevermann, Ayse Erek, Carola Hein, Conor Horan, Kata Krasznahorkai, Ida Sofie Gøtzsche Lange, Edmond Manahasa, Marijke Martin, Marluci Menezes, Matej Nikšič, Paulina Polko, Juli Székely, Simone Tappert, Pekka Tuominen Jan 2022

Heritage Requires Citizens’ Knowledge: The Cost Place-Making Action And Responsible Research, Heike Oevermann, Ayse Erek, Carola Hein, Conor Horan, Kata Krasznahorkai, Ida Sofie Gøtzsche Lange, Edmond Manahasa, Marijke Martin, Marluci Menezes, Matej Nikšič, Paulina Polko, Juli Székely, Simone Tappert, Pekka Tuominen

Research Outputs: 2025-Present

This chapter reflects on responsible science with an eye toward concrete research practice. To this end, we briefly introduce the RRI paradigm (Responsible Research and Innovation) and then highlight seven EU research projects in the context of a transnational COST Action project. This COST Action will investigate how placemaking activities, like public art, civil urban design, and local knowledge production, reshape and reinvent public space, and improve citizens’ involvement in urban planning and urban design, especially in the context of heritage sites. The chapter introduces heritage case studies that either contrast, differentiate, and add to existing knowledge and practices in …


Peripheral: Women's Imprisonment In Twentieth Century Ireland, Christina Quinlan Jan 2022

Peripheral: Women's Imprisonment In Twentieth Century Ireland, Christina Quinlan

Research Outputs: 2025-Present

No abstract provided.


A Neural Network-Based Model For Lower Limb Continuous Estimation Against The Disturbance Of Uncertainty, Wanting Li, Keping Liu, Zhongbo Sun, C Li, Yuanyuan Chai, Jian Gu Jan 2022

A Neural Network-Based Model For Lower Limb Continuous Estimation Against The Disturbance Of Uncertainty, Wanting Li, Keping Liu, Zhongbo Sun, C Li, Yuanyuan Chai, Jian Gu

School of Engineering, Computing and Mathematics

In this paper, a novel prediction model is proposed to estimate human continuous motion intention using a fuzzy wavelet neural network (FWNN) and a zeroing neural network (ZNN). During walking, seven channel surface electromyography (sEMG) signals and motion data of hip and knee are collected, and two signals are selected and processed from the seven muscles based on physiological and correlation analysis. Then, FWNN is built as an intention recognition model, with sEMG signals as input and physical hip and knee information as output. Meanwhile, ZNN is exploited into the FWNN model, forming a hybrid model to eliminate the prediction …


High-Quality Reconstruction Of China’S Natural Streamflow, Chiyuan Miao, Jiaojiao Gou, Bojie Fu, Qiuhong Tang, Q Duan, Z Chen, Huimin Lei, J Chen, J Guo, Alistair G.L. Borthwick, Wenfeng Ding, X Duan, Yungang Li, Dongxian Kong, X Guo, Jingwen Wu Jan 2022

High-Quality Reconstruction Of China’S Natural Streamflow, Chiyuan Miao, Jiaojiao Gou, Bojie Fu, Qiuhong Tang, Q Duan, Z Chen, Huimin Lei, J Chen, J Guo, Alistair G.L. Borthwick, Wenfeng Ding, X Duan, Yungang Li, Dongxian Kong, X Guo, Jingwen Wu

School of Engineering, Computing and Mathematics

No abstract provided.


Continuous-Flow Synthesis Of Mesoporous Sba-15, Christopher M.A. Parlett, Hamidreza Arandiyan, Lee J. Durndell, Mark A. Isaacs, Antonio Torres Lopez, Roong J. Wong, Karen Wilson, Adam F. Lee Jan 2022

Continuous-Flow Synthesis Of Mesoporous Sba-15, Christopher M.A. Parlett, Hamidreza Arandiyan, Lee J. Durndell, Mark A. Isaacs, Antonio Torres Lopez, Roong J. Wong, Karen Wilson, Adam F. Lee

School of Geography, Earth and Environmental Sciences

No abstract provided.


Correct Generation Of The Bound Set-Down For Surface Gravity Wave Groups In Laboratory Experiments Of Intermediate To Shallow Depth, William Mortimer, Alison Raby, Alessandro Antonini, Deborah Greaves, Den Bremer T Van Jan 2022

Correct Generation Of The Bound Set-Down For Surface Gravity Wave Groups In Laboratory Experiments Of Intermediate To Shallow Depth, William Mortimer, Alison Raby, Alessandro Antonini, Deborah Greaves, Den Bremer T Van

School of Engineering, Computing and Mathematics

No abstract provided.


Drone-Based Large-Scale Particle Image Velocimetry Applied To Tidal Stream Energy Resource Assessment, Iain Fairley, Benjamin J. Williamson, Jason Mcilvenny, Nicholas King, Ian Masters, Matthew Lewis, Simon Neill, David Glasby, Daniel Coles, Ben Powell, Keith Naylor, Max Robinson, Dominic E. Reeve Jan 2022

Drone-Based Large-Scale Particle Image Velocimetry Applied To Tidal Stream Energy Resource Assessment, Iain Fairley, Benjamin J. Williamson, Jason Mcilvenny, Nicholas King, Ian Masters, Matthew Lewis, Simon Neill, David Glasby, Daniel Coles, Ben Powell, Keith Naylor, Max Robinson, Dominic E. Reeve

School of Engineering, Computing and Mathematics

Resource quantification is vital in developing a tidal stream energy site but challenging in high energy areas. Drone-based large-scale particle image velocimetry (LSPIV) may provide a novel, low cost, low risk approach that improves spatial coverage compared to ADCP methods. For the first time, this study quantifies performance of the technique for tidal stream resource assessment, using three sites. Videos of the sea surface were captured while concurrent validation data were obtained (ADCP and surface drifters). Currents were estimated from the videos using LSPIV software. Variation in accuracy was attributed to wind, site geometry and current velocity. Root mean square …


Crowdsourcing Platform For Qoe Evaluation For Cloud Multimedia Services, A Laghari, Hui He, Asiya Khan, R Laghari, Shoulin Yin, Jiachi Wang Jan 2022

Crowdsourcing Platform For Qoe Evaluation For Cloud Multimedia Services, A Laghari, Hui He, Asiya Khan, R Laghari, Shoulin Yin, Jiachi Wang

School of Engineering, Computing and Mathematics

This paper presents a novel web-based crowdsourcing platform for the assessment of the subjective and objective quality of experience (QoE) of the video service in the cloud-server environment. The user has the option to enter subjective QoE data for video service by filling out a web questionnaire. The objective QoE data of the cloud-server, network condition, and the user device is automatically captured by the crowdsourcing platform. Our proposed system collects both objective and subjective QoE simultaneously in real-time. The paper presents the key technologies used in the development of the platform and describes the functional requirements and design ideas …