All Outputs (193)

Composition of Games as a Model for the Evolution of Social Institutions (2020)
Presentation / Conference Contribution
Andras, P. (2020). Composition of Games as a Model for the Evolution of Social Institutions. In Artificial Life Conference Proceedings (171-179). https://doi.org/10.1162/isal_a_00264

The evolution of social institutions (e.g. institutions of political decision making or joint resource administration) is an important question in the context of understanding of how societies develop and evolve. In principle, social institutions can... Read More about Composition of Games as a Model for the Evolution of Social Institutions.

From One Edge to the Other: Exploring Gaming's Rising Presence on the Network (2020)
Presentation / Conference Contribution
Marsden, M., Hazas, M., & Broadbent, M. (2020, June). From One Edge to the Other: Exploring Gaming's Rising Presence on the Network. Presented at ICT4S2020: 7th International Conference on ICT for Sustainability, Bristol

Audio and video streaming and on-demand services have dramatically changed how, and how much, media is consumed. Streaming generally allows a much larger selection of content, and arguably greater convenience. Gaming is the latest medium to place del... Read More about From One Edge to the Other: Exploring Gaming's Rising Presence on the Network.

Hasten Slowly: Developing an interactive sustainability storytelling chair (2020)
Presentation / Conference Contribution
Egan, C., O'dowd, A., & Fyffe, N. (2020, June). Hasten Slowly: Developing an interactive sustainability storytelling chair. Presented at 7th International Conference on ICT for Sustainability (ICT 4 S 2020 ), Bristol

Responding to the climate crisis and a considerable downturn in planetary well-being due to human consumption patterns, The Lions' Gate, on-campus, urban, permaculture-inspired, interactive community gardens project aims to affect changes in attitude... Read More about Hasten Slowly: Developing an interactive sustainability storytelling chair.

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). E-learning tools. In 2020 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/EDUCON45650.2020.9125251

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.

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). Citrus: Orchestrating Security Mechanisms via Adversarial Deception. In NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium. https://doi.org/10.1109/NOMS47738.2020.9110443

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). Social needs for sustainable refurbishment in Trondheim. In Proceedings of the 19th EuroFM Research Symposium 2020, EFMIC 2020 (51-61)

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.

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). Traffic Incident Detection: A Trajectory-based Approach. In 2020 IEEE 36th International Conference on Data Engineering (ICDE). https://doi.org/10.1109/icde48307.2020.00190

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., & 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.

SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain (2020)
Presentation / Conference Contribution
Jaroucheh, Z., Ghaleb, B., & Buchanan, W. J. (2020). SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain. . https://doi.org/10.1109/icsa-c50368.2020.00034

The proof-of-work consensus protocol suffers from two main limitations: waste of energy and offering only probabilistic guarantees about the status of the blockchain. This paper introduces SklCoin, a new Byzantine consensus protocol and its correspon... Read More about SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain.

Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM) (2020)
Presentation / Conference Contribution
Seuwou, P., Chrysoulas, C., Banissi, E., & Ubakanma, G. (2020, April). Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM). Presented at WorldCIST: World Conference on Information Systems and Technologies, Budva, Montenegro

The work presented in the paper aims at exploring information technology acceptance in the context of Autonomous Vehicles (AV) with the objectives of identifying and testing the constructs that will influence future AVs acceptance. Most models of tec... Read More about Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM).

Multi-label Classifier to Deal with Misclassification in Non-functional Requirements (2020)
Presentation / Conference Contribution
Sabir, M., Chrysoulas, C., & Banissi, E. (2020, April). Multi-label Classifier to Deal with Misclassification in Non-functional Requirements. Presented at WorldCist 2020: 8th World Conference on Information Systems and Technologies, Budva, Montenegro

Automatic classification of software requirements is an active research area; it can alleviate the tedious task of manual labeling and improves transparency in the requirements engineering process. Several attempts have been made towards the identifi... Read More about Multi-label Classifier to Deal with Misclassification in Non-functional Requirements.