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All Outputs (300)

Post-Experience Learning (2020)
Presentation / Conference Contribution
McLean, L. (2020, May). Post-Experience Learning. Paper presented at Chartered Association of Business Schools - Learning, teaching and Student Experience Conference, Belfast

This research explores the nature and context of students’ participation in post-experience education, with a focus on the experiences of those engaging in a Masters level, professionally accredited qualification. This study presents a single open fr... Read More about Post-Experience Learning.

How a particular view of language enables neoliberalism in student support – and how to resist it. (2020)
Presentation / Conference Contribution
Richards, K., & Pilcher, N. (2020, May). How a particular view of language enables neoliberalism in student support – and how to resist it. Paper presented at DPR20 Discourse, Power and Resistance the values of education, University of Coimbra, Coimbra, Portugal

In this presentation, extending previous research, the authors argue that a particular view of language which sees it as a concrete abstract objectivist entity separable from any context for analysis and teaching underpins neoliberal approaches to su... Read More about How a particular view of language enables neoliberalism in student support – and how to resist it..

Electroencephalogram (EEG) Human Stress Level Classification based on Theta/Beta Ratio (2020)
Presentation / Conference Contribution
Wen, T., Bani, N., Muhammad Sukki, F., & Mohd Aris, S. (2020, May). Electroencephalogram (EEG) Human Stress Level Classification based on Theta/Beta Ratio. Paper presented at 3rd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS 2020), Kuala Lumpur, Malaysia

Stress analysis by utilizing electroencephalography (EEG) device in conjunction with signal processing techniques has emerged as an important area of research and the efforts are being made on detecting and classifying stress level. Non-invasive EEG... Read More about Electroencephalogram (EEG) Human Stress Level Classification based on Theta/Beta Ratio.

The normalisation of overwork: A scoping study of Leavism (2020)
Presentation / Conference Contribution
Richards, J., Pustelnikovaite, T., Ellis, V., & Canduela, J. (2020, April). The normalisation of overwork: A scoping study of Leavism. Paper presented at International Labour Process Conference, Newcastle

The proposed paper focuses on Leaveism, understood as employees using allocated time off to work (CIPD, 2018). Leaveism involves using allocated time off when actually unwell, taking work home that cannot be completed in normal working hours, and, wo... Read More about The normalisation of overwork: A scoping study of Leavism.

The environmental design criteria for the university buildings in the Northern and Southern regions of the UK (2020)
Presentation / Conference Contribution
Jowkar, C., Bahadur Rijal, H., Brusey, J., & Temeljotov Salaj, A. (2020). The environmental design criteria for the university buildings in the Northern and Southern regions of the UK. In Windsor 2020: Resilient Comfort - Proceedings (298-208)

Considering the prevalence of the different climatic conditions in Northern and Midland regions of the UK, this study investigated the occupants’ thermal comfort requirements in two university campuses in Scotland and England, UK. The aim of this inv... Read More about The environmental design criteria for the university buildings in the Northern and Southern regions of the UK.

The Local Optima Level in Chemotherapy Schedule Optimisation (2020)
Presentation / Conference Contribution
Thomson, S. L., & Ochoa, G. (2020, April). The Local Optima Level in Chemotherapy Schedule Optimisation. Presented at EvoCOP 2020: Evolutionary Computation in Combinatorial Optimization, Seville, Spain

In this paper a multi-drug Chemotherapy Schedule Optimisation Problem (CSOP) is subject to Local Optima Network (LON) analysis. LONs capture global patterns in fitness landscapes. CSOPs have not previously been subject to fitness landscape analysis.... Read More about The Local Optima Level in Chemotherapy Schedule Optimisation.

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites (2020)
Presentation / Conference Contribution
Babaagba, K. O., Tan, Z., & Hart, E. (2020, April). Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. Presented at EvoStar 2020, Seville, Spain

In the field of metamorphic malware detection, training a detection model with malware samples that reflect potential mutants of the malware is crucial in developing a model resistant to future attacks. In this paper, we use a Multi-dimensional Archi... Read More about Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites.

Metasurface for Controlling Polarization of Scattered EM Waves (2020)
Presentation / Conference Contribution
Alibakhshikenari, M., Virdee, B., See, C. H., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2020, February). Metasurface for Controlling Polarization of Scattered EM Waves. Presented at 4th Australian Microwave Symposium, Sydney, Australia

A unique metasurface is presented that can be used to control the polarization of electromagnetic waves. The dual band metasurface is realized by stacking an array of multiple concentric circular rings. By rotating each array with r... Read More about Metasurface for Controlling Polarization of Scattered EM Waves.

Understanding Deep Neural Networks For Regression In Leaf Counting (2020)
Presentation / Conference Contribution
Dobrescu, A., Giuffrida, M. V., & Tsaftaris, S. A. (2019, June). Understanding Deep Neural Networks For Regression In Leaf Counting. Presented at Computer Vision Problems in Plant Phenotyping Workshop, Los Angeles, US

Deep learning methods are constantly increasing in popularity and success across a wide range of computer vision applications. However, they are perceived as 'black boxes', due to the lack of an intuitive interpretation of their decision processes. W... Read More about Understanding Deep Neural Networks For Regression In Leaf Counting.

FinTech, SMEs Efficiency and National Culture: Evidence from OECD Countries (2020)
Presentation / Conference Contribution
Abbasi, K., Alam, A., Du, A., & Huynh, T. L. D. (2020, April). FinTech, SMEs Efficiency and National Culture: Evidence from OECD Countries. Presented at International Conference on the Contemporary Issues in Finance, Trade and Macroeconomy (ICOFINT '20), Istanbul, Turkey

Small and Medium Enterprises (SMEs) play a vital role in an economy; therefore, it is important to study the avenues that contribute towards their viability. As a result, we examine the impact of financial technologies (FinTechs) on SME efficiency. U... Read More about FinTech, SMEs Efficiency and National Culture: Evidence from OECD Countries.

Micro-structured optical multi-mode fibers for sensing applications (2020)
Presentation / Conference Contribution
Bremer, K., Alwis, L., & Roth, B. (2020, March). Micro-structured optical multi-mode fibers for sensing applications. Presented at SPIE Photonics Europe International Symposium, Strasbourg, France

Grating-based Fiber Optic Sensors (FOSs), i.e. relying on Bragg Gratings (BGs), Long Period Gratings (LPGs), Tilted Fiber BGs (TFBGs), have seen a popularity in recent years for sensing applications, however, most of these are inscribed on Single-Mod... Read More about Micro-structured optical multi-mode fibers for sensing applications.

PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation (2020)
Presentation / Conference Contribution
Pan, Y., & Mitchell, K. (2020, March). PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation. Presented at 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA

Augmented reality devices enable new approaches for character animation, e.g., given that character posing is three dimensional in nature it follows that interfaces with higher degrees-of-freedom (DoF) should outperform 2D interfaces. We present Pose... Read More about PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation.

Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation (2020)
Presentation / Conference Contribution
Pan, Y., & Mitchell, K. (2020, March). Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation. Presented at 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA

Immersive technologies have increasingly attracted the attention of the computer animation community in search of more intuitive and effective alternatives to the current sophisticated 2D interfaces. The higher affordances offered by 3D interaction,... Read More about Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation.

Defeating Jamming Attacks with Ambient Backscatter Communications (2020)
Presentation / Conference Contribution
Huynh, N. V., Nguyen, D. N., Hoang, D. T., Dutkiewicz, E., Mueck, M., & Srikanteswara, S. (2020, February). Defeating Jamming Attacks with Ambient Backscatter Communications. Presented at 2020 International Conference on Computing, Networking and Communications (ICNC), Big Island, HI, USA

While the existing anti-jamming solutions tend to “escape” the attacks by finding another communication channel or adapting, waiting until the attacks cease, this work proposes an unprecedented method to combat jammers by leveraging the jamming signa... Read More about Defeating Jamming Attacks with Ambient Backscatter Communications.

Forward and backward feature selection for query performance prediction (2020)
Presentation / Conference Contribution
Déjean, S., Ionescu, R. T., Mothe, J., & Ullah, M. Z. (2020, March). Forward and backward feature selection for query performance prediction. Presented at 35th Annual ACM Symposium on Applied Computing, Brno, Czech Republic

The goal of query performance prediction (QPP) is to automatically estimate the effectiveness of a search result for any given query, without relevance judgements. Post-retrieval features have been shown to be more effective for this task while being... Read More about Forward and backward feature selection for query performance prediction.

Machine Learning for Detecting Drift Fault of Sensors in Cyber-Physical Systems (2020)
Presentation / Conference Contribution
Jan, S. U., Saeed, U., & Koo, I. (2020, January). Machine Learning for Detecting Drift Fault of Sensors in Cyber-Physical Systems. Presented at 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan

Cyber-Physical System (CPS) emerges as a potential direction to improve the applications relating to object-to-object, human-to-human and human-to-object communications in both the real world and virtual world. The examples of CPSs include Smart Gird... Read More about Machine Learning for Detecting Drift Fault of Sensors in Cyber-Physical Systems.

Enablers of Emergency Preparedness for People With Disabilities and Chronic Health Conditions: A Scoping Review (2020)
Presentation / Conference Contribution
Sterman, J., & Villeneuve, M. (2020, March). Enablers of Emergency Preparedness for People With Disabilities and Chronic Health Conditions: A Scoping Review. Poster presented at AOTA Annual Conference & Expo, Boston, Massachusetts

This scoping review identified that people with disabilities require capability-focused knowledge networks, actions, and advocacy to enable emergency preparedness. OTs are uniquely positioned to collaboratively address unmet emergency-preparedness su... Read More about Enablers of Emergency Preparedness for People With Disabilities and Chronic Health Conditions: A Scoping Review.

Providing home-based end of life care for children and their families: a realist evaluation of the Care 24 Lothian service (2020)
Presentation / Conference Contribution
Malcolm, C., & Knighting, K. (2020, March). Providing home-based end of life care for children and their families: a realist evaluation of the Care 24 Lothian service. Paper presented at Together for Short Lives - Conference 2020: Time for Change?, Manchester, UK

Background - The drive to ensure end of life care and death occurs in a child and families’ preferred setting, be that home, hospice or hospital, has been set by policy makers across the United Kingdom (UK) (Department of Health 2016; National Pallia... Read More about Providing home-based end of life care for children and their families: a realist evaluation of the Care 24 Lothian service.

P4ID: P4 enhanced intrusion detection (2020)
Presentation / Conference Contribution
Lewis, B., Broadbent, M., & Race, N. (2020). P4ID: P4 enhanced intrusion detection. In 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (1-4). https://doi.org/10.1109/NFV-SDN47374.2019.9040044

The growth in scale and capacity of networks in recent years leads to challenges of positioning and scalability of Intrusion Detection Systems (IDS). With the flexibility afforded by programmable dataplanes, it is now possible to perform a new level... Read More about P4ID: P4 enhanced intrusion detection.