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All Outputs (171)

From “dirty” oil and gas to green energy: Workers’ views on skills transition (2024)
Presentation / Conference Contribution
Heidl, B., O'Neil, J., & Bratton, A. (2024, April). From “dirty” oil and gas to green energy: Workers’ views on skills transition. Presented at 42nd International Labour Process Conference 2024 (ILPC 2024), Göttingen

As the environmental agenda progresses worldwide, it is clear that the move to sustainable forms of energy is both crucial and inevitable. For UK workers currently employed in the traditional energy sector including oil and gas, this transition prese... Read More about From “dirty” oil and gas to green energy: Workers’ views on skills transition.

Career transitions to paid employment: At what point does training placement provision move between up-skilling to exploitation? (2024)
Presentation / Conference Contribution
O'Neil, J., & Ivancheva, M. (2024, April). Career transitions to paid employment: At what point does training placement provision move between up-skilling to exploitation?. Paper presented at 42nd International Labour Process Conference 2024 (ILPC 2024), Göttingen

Precarious work that becomes a ‘stepping stone’ to decent work (McGuiness and Wooden 2009, Nunley et al 2017; Munoz-Comet and Steinmetz 2020) is the bargain struck for many learners leaving education and accessing employment, typically via placements... Read More about Career transitions to paid employment: At what point does training placement provision move between up-skilling to exploitation?.

From Film Bang to Filming Boom: Fifty Years of Career Development Strategies in the Scottish Screen Production Sector (2024)
Presentation / Conference Contribution
Correia, N. (2024, April). From Film Bang to Filming Boom: Fifty Years of Career Development Strategies in the Scottish Screen Production Sector. Paper presented at 12th BAFTSS Conference (British Association of Film, Television and Screen Studies) 2024, University of Sussex, Brighton

This paper demonstrates how the Scottish film and television production sector has evolved during the last half-century and discusses the strategies of Scottish-based freelancers to sustain and advance their careers. In the mid-1970s screen productio... Read More about From Film Bang to Filming Boom: Fifty Years of Career Development Strategies in the Scottish Screen Production Sector.

Will slow tourism slow down air traffic demand? (2024)
Presentation / Conference Contribution
Arvanitis, P. (2024, July). Will slow tourism slow down air traffic demand?. Presented at LSA Conference, University of West Scotland

The air transport industry has experienced almost ceaseless growth (Graham, 2000) despite numerous factors that contributed to its slowing down. This growth comes from new travellers and present ones taking more or longer holidays. This trend is gett... Read More about Will slow tourism slow down air traffic demand?.

Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study (2024)
Presentation / Conference Contribution
Obead, R., Khaddour, L., & D'Amico, B. (2024, April). Net Zero Emissions Buildings, Shifting the Focus from Energy Efficient to Whole Life Carbon Emission: A Review Study. Presented at Environmental Design, Material Science, and Engineering Technologies conference, Dubai, UAE

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)
Presentation / Conference Contribution
Sulaiman, S. H., Rohani, M. N. K. H., Abdulkarim, A., Abubakar, A. S., Shehu, G. S., Musa, U., Mas'ud, A. A., Rosle, N., & Muhammad-Sukki, F. (2023, August). Finite Element Modeling of Electric Field Distribution in a Defective XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage. Presented at The 12th International Conference on Robotics, Vision, Signal Processing, and Power Applications, Penang, Malaysia

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.

Building an Embodied Musicking Dataset for co-creative music-making (2024)
Presentation / Conference Contribution
Vear, C., Poltronieri, F., Di Donato, B., Zhang, Y., Benerradi, J., Hutchinson, S., Turowski, P., Shell, J., & Malekmohamadi, H. (2024, April). Building an Embodied Musicking Dataset for co-creative music-making. Presented at Evostar 2024: The Leading European Event on Bio‑Inspired Computation, Aberystwyth, Wales, United Kingdom

In this paper, we present our findings of the design, development and deployment of a proof-of-concept dataset that captures some of the physiological, musicological, and psychological aspects of embodied musicking. After outlining the conceptual ele... Read More about Building an Embodied Musicking Dataset for co-creative music-making.

Convex neural network synthesis for robustness in the 1-norm (2024)
Presentation / Conference Contribution
Drummond, R., Guiver, C., & Turner, M. C. (2024, July). Convex neural network synthesis for robustness in the 1-norm. Presented at 6th Annual Learning for Dynamics & Control Conference, Oxford, England

With neural networks being used to control safety-critical systems, they increasingly have to be both accurate (in the sense of matching inputs to outputs) and robust. However, these two properties are often at odds with each other and a trade-off ha... Read More about Convex neural network synthesis for robustness in the 1-norm.

Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments (2024)
Presentation / Conference Contribution
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (2024, May). Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments. Presented at CHI24 - Generative AI in User-Generated Content, Honolulu, Hawaii

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)
Presentation / Conference Contribution
Chifu, A., Déjean, S., Garouani, M., Mothe, J., Ortiz, D., & Ullah, M. Z. (2024, March). Can we predict QPP? An approach based on multivariate outliers. Presented at 46th European Conference on Information Retrieval, ECIR 2024, Glasgow

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)
Presentation / Conference Contribution
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (2024, June). Towards Building a Smart Water Management System (SWAMS) in Nigeria. Presented at The 22nd IEEE Mediterranean Electrotechnical Conference, Porto, Portugal

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.

Abstract 4472: Discovery of potential RAF-selective back pocket as a promising biological target for BRAF inhibitors in the treatment of resistant melanoma: Design, synthesis, biological evaluation and in silico studies (2024)
Presentation / Conference Contribution
Ammar, U., Gamal, M., Abdel-Maksoud, M., Ali, E., Mahmoud, Z., Deug, K., Jun, P., Lee, S., & Oh, C. Abstract 4472: Discovery of potential RAF-selective back pocket as a promising biological target for BRAF inhibitors in the treatment of resistant melanoma: Design, synthesis, biological evaluation and in silico studies. Presented at American Association for Cancer Research Annual Meeting 2024, San Diego, CA

The mutated BRAF kinase (V600E) is considered the key component in the MAPK signaling pathway that was reported to be significantly contributed to melanoma disease. Vemurafenib and dabrafenib are examples of drugs that were approved by FDA to treat m... Read More about Abstract 4472: Discovery of potential RAF-selective back pocket as a promising biological target for BRAF inhibitors in the treatment of resistant melanoma: Design, synthesis, biological evaluation and in silico studies.

PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme (2024)
Presentation / Conference Contribution
Yaqub, Z., Yigit, Y., Maglaras, L., Tan, Z., & Wooderson, P. (2024, April). PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme. Presented at The 20th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024), Abu Dhabi, UAE

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.

Wide-Scan/High-Gain Phased Array Antenna for 5G/6G Cellular Networks (2024)
Presentation / Conference Contribution
Basherlou, H. J., Ojaroudi Parchin, N., Alibakhshikenari, M., Kouhalvandi, L., & See, C. H. (2024, June). Wide-Scan/High-Gain Phased Array Antenna for 5G/6G Cellular Networks. Presented at 2024 IEEE 22nd Mediterranean Electrotechnical Conference- IEEE MELECON 2024, Porto, Portugal

A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control (2024)
Presentation / Conference Contribution
Montague, K., Hart, E., & Paechter, B. (2024, April). A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. Presented at EvoStar 2024, Aberystwyth

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)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, April). On the Utility of Probing Trajectories for Algorithm-Selection. Presented at EvoStar 2024, Aberystwyth, UK

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)
Presentation / Conference Contribution
Urquhart, N., & Hunter, K. (2024, April). Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language. Presented at 27th European Conference, EvoApplications 2024, Aberystwyth, UK

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.