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All Outputs (305)

A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains (2020)
Presentation / Conference Contribution
Alissa, M., Sim, K., & Hart, E. (2020, July). A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains. Presented at GECCO ’20, Cancún, Mexico

In the field of combinatorial optimisation, per-instance algorithm selection still remains a challenging problem, particularly with respect to streaming problems such as packing or scheduling. Typical approaches involve training a model to predict th... Read More about A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains.

E-learning tools (2020)
Presentation / Conference Contribution
Muñoz-Escalona, P., Dunn, M., Soares, F., Marzano, A., Vichare, P., & Lazar, I. (2020, April). E-learning tools. Presented at 2020 IEEE Global Engineering Education Conference (EDUCON), Porto, Portugal

Since Generation Z students have grown up around WIFI-laptops, video game, etc. they expect technology to be involved in teaching approaches, however students' perception towards e-learning tools indicate that 80% of students (~180 students) prefer a... Read More about E-learning tools.

An Investigation of the Talent Development Pathway in Scottish Female Football (2020)
Presentation / Conference Contribution
Simpson, D., & Andronikos, G. (2020, June). An Investigation of the Talent Development Pathway in Scottish Female Football. Presented at International Conference on Sport Society, Online

Literature in talent development for female sports is sparse and assumes applicability from existing male talent development research. The purpose of this study was to gain an understanding of the talent development pathway within Scottish female foo... Read More about An Investigation of the Talent Development Pathway in Scottish Female Football.

Embodied vs. Operational Energy and Carbon Emissions of Doe Reference Buildings from a Life-Cycle Perspective (2020)
Presentation / Conference Contribution
Arehart, J., Srubar, W., Pomponi, F., & D'Amico, B. (2020, June). Embodied vs. Operational Energy and Carbon Emissions of Doe Reference Buildings from a Life-Cycle Perspective. Presented at ASHRAE 2020, Online

While the reduction of operational energy and associated emissions has been the focus of the building design community in recent decades, focus must now be given to reducing the upfront or embodied energy and emissions of buildings. Embodied energy a... Read More about Embodied vs. Operational Energy and Carbon Emissions of Doe Reference Buildings from a Life-Cycle Perspective.

Testing And Hardening IoT Devices Against the Mirai Botnet (2020)
Presentation / Conference Contribution
Kelly, C., Pitropakis, N., McKeown, S., & Lambrinoudakis, C. (2020, June). Testing And Hardening IoT Devices Against the Mirai Botnet. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2020), Dublin, Ireland

A large majority of cheap Internet of Things (IoT) devices that arrive brand new, and are configured with out-of-the-box settings, are not being properly secured by the manufactures, and are vulnerable to existing malware lurking on the Internet. Amo... Read More about Testing And Hardening IoT Devices Against the Mirai Botnet.

Defeating Smart and Reactive Jammers with Unlimited Power (2020)
Presentation / Conference Contribution
Huynh, N. V., Hoang, D. T., Nguyen, D. N., Dutkiewicz, E., & Mueck, M. (2020, May). Defeating Smart and Reactive Jammers with Unlimited Power. Presented at 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, South Korea

Among all wireless jammers, dealing with reactive ones is most challenging. This kind of jammer attacks the channel whenever it detects transmission from legitimate radios. With recent advances in self-interference suppression or in-band full-duplex... Read More about Defeating Smart and Reactive Jammers with Unlimited Power.

Phonemes: An Explanatory Study Applied to Identify a Speaker (2020)
Presentation / Conference Contribution
Kinkiri, S., Barakat, B., & Keates, S. (2020, July). Phonemes: An Explanatory Study Applied to Identify a Speaker. Presented at MIND: International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, Silchar, India

Speaker Identification (SI) is a process of identifying a speaker automatically via a machine using the speaker’s voice. In SI, one speaker’s voice is compared with n- number of speakers’ templates within the reference database to find the best match... Read More about Phonemes: An Explanatory Study Applied to Identify a Speaker.

DigiCAP: Towards digitalization for empowerment and capacity building of handcraft developments in Sub-Saharan Africa (2020)
Presentation / Conference Contribution
Marzano, A., Viza, E., & Cano, M. (2019, July). DigiCAP: Towards digitalization for empowerment and capacity building of handcraft developments in Sub-Saharan Africa. Presented at 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Gulf of Naples, Italy

This work presents a digital toolkit, which brings together multidisciplinary expertise in manufacturing, human factors and female entrepreneurship, to develop new methods to capture, predict and enable capacity building by digitalising local craft k... Read More about DigiCAP: Towards digitalization for empowerment and capacity building of handcraft developments in Sub-Saharan Africa.

Evaluation of cmaf in live streaming scenarios (2020)
Presentation / Conference Contribution
Lyko, T., Broadbent, M., Race, N., Nilsson, M., Farrow, P., & Appleby, S. (2020, June). Evaluation of cmaf in live streaming scenarios. Presented at 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, Istanbul, Turkey

HTTP Adaptive Streaming (HAS) technologies such as MPEG DASH are now used extensively to deliver television services to large numbers of viewers. In HAS, the client requests segments of content using HTTP, with an ABR algorithm selecting the quality... Read More about Evaluation of cmaf in live streaming scenarios.

Citrus: Orchestrating Security Mechanisms via Adversarial Deception (2020)
Presentation / Conference Contribution
Mills, R., Race, N., & Broadbent, M. (2020, April). Citrus: Orchestrating Security Mechanisms via Adversarial Deception. Presented at NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary

Despite the Internet being an apex of human achievement for many years, malicious activity and cyber attacks are becoming more prevalent than ever before. Large scale data collection using threat sources such as honeypots have recently been employed... Read More about Citrus: Orchestrating Security Mechanisms via Adversarial Deception.

Information avoidance and diabetes – a preliminary empirical study (2020)
Presentation / Conference Contribution
Ryan, B., & Webster, G. (2020, June). Information avoidance and diabetes – a preliminary empirical study. Poster presented at Information Science Trends: Health Information Behavior, Online

This poster presented at #AECIST20 on 2020_06_10 describes the work done so far on a seed-project investigating information avoidance by people with Type 1 diabetes about their condition. Work also includes 'triangulation' interviews with relevant he... Read More about Information avoidance and diabetes – a preliminary empirical study.

Social needs for sustainable refurbishment in Trondheim (2020)
Presentation / Conference Contribution
Temeljotov-Salaj, A., Margaret Lindkvist, C., & Jowkar, M. (2020, June). Social needs for sustainable refurbishment in Trondheim. Presented at 19th EuroFM Research Symposium 2020: EFMIC 2020, Online

Background and aim - Sustainable refurbishment of existing buildings requires more people-centeredinnovative processes and solutions. Gaining better insight in the needs of cities and citizens, andcorrespondingly the ability to develop processes, ser... Read More about Social needs for sustainable refurbishment in Trondheim.

Stamp IT - Simple solutions to assessment in Design Education (2020)
Presentation / Conference Contribution
Cochrane, R. (2020, June). Stamp IT - Simple solutions to assessment in Design Education. Presented at Fusion Cities of the Future, London

Cochrane, R. (2020, June). Stamp IT - Simple solutions to assessment in Design Education. Presented at Fusion Cities of the Future, London.

Agile Implementation and Expansive Learning: Identifying Contradictions and Their Resolution Using an Activity Theory Perspective (2020)
Presentation / Conference Contribution
Chita, P., Cruickshank, P., Smith, C., & Richards, K. (2020, June). Agile Implementation and Expansive Learning: Identifying Contradictions and Their Resolution Using an Activity Theory Perspective. Presented at 21st International Conference on Agile Software Development, XP 2020, Copenhagen, Denmark

A key challenge organisations face when transitioning to agile delivery methods is that of quickly and effectively learning new ways of working. This study posits that fundamental historical, cultural and behavioural aspects affect the transition and... Read More about Agile Implementation and Expansive Learning: Identifying Contradictions and Their Resolution Using an Activity Theory Perspective.

Traffic Incident Detection: A Trajectory-based Approach (2020)
Presentation / Conference Contribution
Han, X., Grubenmann, T., Cheng, R., Wong, S. C., Li, X., & Sun, W. (2020, April). Traffic Incident Detection: A Trajectory-based Approach. Presented at 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, USA

Incident detection (ID), or the automatic discovery of anomalies from road traffic data (e.g., road sensor and GPS data), enables emergency actions (e.g., rescuing injured people) to be carried out in a timely fashion. Existing ID solutions based on... Read More about Traffic Incident Detection: A Trajectory-based Approach.

Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi (2020)
Presentation / Conference Contribution
Saeed, U., Ullah Jan, S., Lee, Y.-D., & Koo, I. (2020, January). Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi. Presented at 2020 International Conference on Electronics, Information, and Communication (ICEIC), Barcelona, Spain

From smart industries to smart cities, sensors in the modern world plays an important role by covering a large number of applications. However, sensors get faulty sometimes leading to serious outcomes in terms of safety, economic cost and reliability... Read More about Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi.

International Legal Cooperation and the Principle of Harmonisation: Lessons from Cross-Border Insolvency (2020)
Presentation / Conference Contribution
Ghio, E. (2020, May). International Legal Cooperation and the Principle of Harmonisation: Lessons from Cross-Border Insolvency. Paper presented at Law and Society Association Annual Meeting, Denver [online]

This project assesses how harmonisation can be promoted and achieved in the EU without a completely uniform legal system in place. The project focuses on international legal cooperation as a means to promote harmonisation throughout the EU. It uses t... Read More about International Legal Cooperation and the Principle of Harmonisation: Lessons from Cross-Border Insolvency.

SME ICT Marketing Impact: A New Conceptual Model (2020)
Presentation / Conference Contribution
Kurtzke, S., & Setkute, J. (2020, May). SME ICT Marketing Impact: A New Conceptual Model. Presented at EMAC 2020 Annual Conference, Budapest, Hungary

This paper presents a conceptual model for SME ICT marketing impact. The conceptualization integrates approaches from technology-in-practice scholarship, which argues that the use of information and communications technology (ICT) among small and med... Read More about SME ICT Marketing Impact: A New Conceptual Model.

The Need for Interview Participant Justification: Report-ability in Qualitative Research (2020)
Presentation / Conference Contribution
Omeihe, K. (2020, May). The Need for Interview Participant Justification: Report-ability in Qualitative Research. Presented at British Academy of Management and the Institute for Small Business and Entrepreneurship Doctoral Day

Persistent concerns are still raised about an appropriate guideline for determining the number of interview participants within organisational studies. Across studies, there is that continuing debate about the guideline principles for justifying part... Read More about The Need for Interview Participant Justification: Report-ability in Qualitative Research.