Skip to main content

Research Repository

Advanced Search

All Outputs (3790)

An investigation of the rotation patterns of international association meetings and events (2024)
Conference Proceeding
Drake, C., Lockstone-Binney, L., Robertson, M., & Thi Phuong Dung, L. (2024). An investigation of the rotation patterns of international association meetings and events. In Diverse Voices: Creating change in tourism, hospitality and events - Proceedings of the 34th Annual Conference

International association meetings and events (IAMEs) are a significant segment of the business events sector. Noting the dearth of longitudinal research to confirm how these events rotate globally, regionally and over time, this study conducted an a... Read More about An investigation of the rotation patterns of international association meetings and events.

Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode (2024)
Conference Proceeding
Buchanan, W., Grierson, S., & Uribe, D. (2024). Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode. In Proceedings of the 10th International Conference on Information Systems Security and Privacy (226-233). https://doi.org/10.5220/0012454300003648

Biometric data is often highly sensitive, and a leak of this data can lead to serious privacy breaches. Some of the most sensitive of this type of data relates to the usage of DNA data on individuals. A leak of this type of data without consent could... Read More about Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode.

The digital Foley: what Foley artists say about using audio synthesis (2024)
Conference Proceeding
Di Donato, B., & McGregor, I. (2024). The digital Foley: what Foley artists say about using audio synthesis. In Proceedings of the 2024 AES 6th International Conference on Audio for Games

Foley is a sound production technique where organicity and authenticity in sound creation are key to fostering creativity. Audio synthesis, Artificial Intelligence (AI) and Interaction Design (IXD) have been explored by the community to investigate t... Read More about The digital Foley: what Foley artists say about using audio synthesis.

Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies (2024)
Conference Proceeding
Aliyu, B. D., Rohani, M. N. K. H., Musa, U., Sulaiman, S. H., Jibril, Y., Mas'ud, A. A., …Jamil, A. I. M. (2024). Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies. In 2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA). https://doi.org/10.1109/ICPEA60617.2024.10499042

Partial discharge (PD) degrades the quality of insulation systems, and its impact becomes even more severe with ageing. Several studies have revealed PD activity to be environmental and test factors dependent. Among the several test factors, the exci... Read More about Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies.

Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation (2024)
Conference Proceeding
Watson, L. N., & Gkatzia, D. (in press). Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation.

Reproducibility is a cornerstone of scientific research, ensuring the reliability and generalisability of findings. The ReproNLP Shared Task on Reproducibility of Evaluations in NLP aims to assess the reproducibility of human evaluation studies. This... Read More about Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation.

Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study (2024)
Conference Proceeding
Obead, R., Khaddour, L., & D'Amico, B. (in press). Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study.

Building construction and operation are significant contributors to global world emissions. Therefore, reducing emissions in this sector is an essential step in global efforts toward a zero-emission economy. As a response to this need, many works hav... Read More about Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study.

Finite Element Modeling of Electric Field Distribution in a Defective XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage (2024)
Conference Proceeding
Sulaiman, S. H., Rohani, M. N. K. H., Abdulkarim, A., Abubakar, A. S., Shehu, G. S., Musa, U., …Muhammad-Sukki, F. (2024). Finite Element Modeling of Electric Field Distribution in a Defective XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage. In Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. https://doi.org/10.1007/978-981-99-9005-4_1

Air voids in solid dielectrics affect the performance and lifespan of high voltage (HV) equipment. In this research, electric field distribution within a cross-linked polyethylene (XLPE) HV cable is analyzed using a finite element analysis (FEA) soft... Read More about Finite Element Modeling of Electric Field Distribution in a Defective XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage.

Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments (2024)
Conference Proceeding
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (in press). Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

We consider practical and social considerations of collaborating verbally with colleagues and friends, not confined by physical distance, but through seamless networked telepres-ence to interactively create shared virtual dance environments. In respo... Read More about Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

Can we predict QPP? An approach based on multivariate outliers (2024)
Conference Proceeding
Chifu, A., Déjean, S., Garouani, M., Mothe, J., Ortiz, D., & Ullah, M. Z. (2024). Can we predict QPP? An approach based on multivariate outliers. In Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part III. https://doi.org/10.1007/978-3-031-56063-7_38

Query performance prediction (QPP) aims to predict the success and failure of a search engine on a collection of queries and documents. State of the art predictors can enable this prediction with a degree of accuracy; however, it is far from being pe... Read More about Can we predict QPP? An approach based on multivariate outliers.

Towards Building a Smart Water Management System (SWAMS) in Nigeria (2024)
Conference Proceeding
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (in press). Towards Building a Smart Water Management System (SWAMS) in Nigeria.

The water management landscape in Nigeria struggles with formidable obstacles characterized by a lack of adequate infrastructure, an uneven distribution of resources, and insufficient access to clean water, particularly in rural areas. These challeng... Read More about Towards Building a Smart Water Management System (SWAMS) in Nigeria.

Understanding fitness landscapes in morpho-evolution via local optima networks (2024)
Conference Proceeding
Thomson, S. L., Le Goff, L., Hart, E., & Buchanan, E. (in press). Understanding fitness landscapes in morpho-evolution via local optima networks. . https://doi.org/10.1145/3638529.3654059

Morpho-Evolution (ME) refers to the simultaneous optimisation of a robot's design and controller to maximise performance given a task and environment. Many genetic encodings have been proposed which are capable of representing design and control. Pre... Read More about Understanding fitness landscapes in morpho-evolution via local optima networks.

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective (2024)
Conference Proceeding
Rodriguez, C. J., Thomson, S. L., Alderliesten, T., & Bosman, P. A. N. (in press). Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective. . https://doi.org/10.1145/3638529.3654125

Many real-world problems have expensive-to-compute fitness functions and are multi-objective in nature. Surrogate-assisted evolutionary algorithms are often used to tackle such problems. Despite this, literature about analysing the fitness landscapes... Read More about Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective.

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution (2024)
Conference Proceeding
Marrero, A., Segredo, E., León, C., & Hart, E. (in press). Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. In Genetic and Evolutionary Computation Conference (GECCO ’24), July 14–18, 2024, Melbourne, VIC, Australia. https://doi.org/10.1145/3638529.3654028

The ability to generate example instances from a domain is important in order to benchmark algorithms and to generate data that covers an instance-space in order to train machine-learning models for algorithm selection. Quality-Diversity (QD) algorit... Read More about Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution.

PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme (2024)
Conference Proceeding
Yaqub, Z., Yigit, Y., Maglaras, L., Tan, Z., & Wooderson, P. (in press). PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme.

In the rapidly evolving landscape of Intelligent Transportation Systems (ITS), Vehicular Ad-hoc Networks (VANETs) play a critical role in enhancing road safety and traffic flow. However, VANETs face significant security and privacy challenges due to... Read More about PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme.

A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control (2024)
Conference Proceeding
Montague, K., Hart, E., & Paechter, B. (2024). A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. In S. Smith, J. Correia, & C. Cintrano (Eds.), Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I (178-193). https://doi.org/10.1007/978-3-031-56852-7_12

Behaviour trees (BTs) are commonly used as controllers in robotic swarms due their modular composition and to the fact that they can be easily interpreted by humans. From an algorithmic perspective, an additional advantage is that extra modules can e... Read More about A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control.

On the Utility of Probing Trajectories for Algorithm-Selection (2024)
Conference Proceeding
Renau, Q., & Hart, E. (2024). On the Utility of Probing Trajectories for Algorithm-Selection. In Applications of Evolutionary Computation. EvoApplications 2024 (98-114). https://doi.org/10.1007/978-3-031-56852-7_7

Machine-learning approaches to algorithm-selection typically take data describing an instance as input. Input data can take the form of features derived from the instance description or fitness landscape , or can be a direct representation of the ins... Read More about On the Utility of Probing Trajectories for Algorithm-Selection.

Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language (2024)
Conference Proceeding
Urquhart, N., & Hunter, K. (2024). Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language. In S. Smith, J. Correia, & C. Cintrano (Eds.), Applications of Evolutionary Computation (83–97). https://doi.org/10.1007/978-3-031-56852-7_6

When using a meta-heuristic based optimiser in some industrial scenarios, there may be a need to amend the objective function as time progresses to encompass constraints that did not exist during the development phase of the software. We propose a me... Read More about Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language.