A5022708495- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Computational Geometry and Mesh Generation
- Computational Fluid Dynamics and Aerodynamics
- Digital Games and Media
- Educational Games and Gamification
- Design Education and Practice
- Artificial Intelligence in Games
- Sports Performance and Training
- Sports injuries and prevention
- Remote Sensing and LiDAR Applications
- Video Analysis and Summarization
- Fluid Dynamics and Turbulent Flows
- Advanced Numerical Analysis Techniques
- Model Reduction and Neural Networks
- 3D Surveying and Cultural Heritage
- Mass Spectrometry Techniques and Applications
- Lower Extremity Biomechanics and Pathologies
- Innovative Human-Technology Interaction
- Hydraulic Fracturing and Reservoir Analysis
- Ethics and Social Impacts of AI
- Machine Learning and Data Classification
- Mobile and Web Applications
- Evacuation and Crowd Dynamics
Swansea University
2016-2025
Foundry (United Kingdom)
2022
Throughout history, storytelling has been an effective way of conveying information and knowledge. In the field visualization, is rapidly gaining momentum evolving cutting-edge techniques that enhance understanding. Many communities have commented on importance in data visualization. Storytellers tend to be integrating complex visualizations into their narratives growing numbers. this paper, we present a survey literature visualization overview common important elements We also describe...
A technique is presented for interpolating unsteady solutions to parameterised fluid flow problems, using a combination of proper orthogonal decomposition and radial basis functions. The validated by considering simulations involving three dimensional compressible inviscid over an oscillating ONERA M6 wing. It demonstrated that the approach can result in large reduction cpu time required find at new parameter values, without significant loss accuracy.
Proteomics analysis of biofluid-derived vesicles holds enormous potential for discovering non-invasive disease markers. Obtaining sufficient quality and quantity profiling studies has, however, been a major problem, as samples are often replete with co-isolated material that can interfere the identification genuine low abundance, vesicle components. Here, we used combination ultracentrifugation size-exclusion chromatography to isolate analyse plasma or urine origin. We describe...
3D representations of large-scale and urban scenes are crucial across various industries, including autonomous driving, planning, natural resource supervision many more. Large-scale industrial reconstructions inherently complex multifaceted. Many existing surveys primarily focus on academic progressions often neglect the intricate diverse needs industry. This survey aims to bridge this gap by providing a comprehensive analysis reconstruction methods, with requirements such as scalability...
SUMMARY A new mesh optimisation scheme, reduced order optimisation, is introduced. The technique uses proper orthogonal decomposition to reduce the number of dimensions in a problem. This reduction dimensionality allows expression problem globally rather than more traditional local or smoothing algorithms. To perform recently developed gradient‐free modified cuckoo search applied. effectiveness algorithm shown by considering optimising meshes for use co‐volume techniques. Co‐volume...
This study aimed to identify the continuous ground reaction force (GRF) features which contribute higher levels of block phase performance. Twenty-three sprint-trained athletes completed starts from their preferred settings during GRFs were recorded separately under each block. Continuous magnitude and direction resultant GRF signals explained 90% variation between sprinters identified. Each sprinter's coefficient score for these was then input a linear regression model predict performance...
Considering the use of commercial-off-the-shelf (COTS) devices in industry, a case study has been undertaken implementing goal driven optimisation venturi-type pre-mixer. This COTS device is used to supply correct ratio specific fuel and oxidiser pre-mix burner. Providing quantity excess air results reduction N O x emissions; this, addition requirement for complete mixing constituents define multi-objective device. A Computational Fluid Dynamics (CFD) simulation carried out using Fluent...
Educational games are potential tools for communicating climate science to the public and thus improving understanding of change. In this article we explore use co-design methodologies, a participatory open design process, communicate change wider audience. To end, hosted Climate Jam 2018, game jam with objective creating gain insight into how developers approach educational design. The inclusive event attracted professional hobbyists from four continents. Participants received pack...
Abstract A new robust metaheuristic optimization method, namely modified cuckoo search (MCS), is presented in this paper. MCS inspired by breeding behavior of birds and combined with Lèvy flight approach to efficiently for optimal solutions. coupled a filtering technique provide the ability handle nonlinear constraints. The filter-based efficient insofar as it provides bias toward exploration during early generations allowing global then shifts that exploitation at final promising areas...
Abstract A novel patented ducted winglet design is compared, using numerical simulations, to an unmodified wing tip and a standard in the context of wind turbine blade. The aim reduce induced drag. This reduction drag, at tip, would be particularly beneficial performance. Throughout comparison, we explore aerodynamic phenomena described patent which claim explain how reduces simulations were run CFD solver, FLITE3D, that has been thoroughly validated on industrial scale problems. mesh...
Results from a triple-blind mixed-method user study into the effectiveness of mixed-initiative tools for procedural generation game levels are presented.A tool which generates using interactive evolutionary optimisation was designed this (a) is focused on supporting designer to explore design space and (b) only requires interact with it by designing levels.The identifies level patterns in an initial hand-designed map uses that information drive algorithm.A rigorous compared experiences...
This study developed and evaluated a novel concurrent biofeedback system for the sprint start. Previous studies have investigated start applications, but these either not considered important kinematics, coaching implications or key motor learning principles. The was to convey rear knee angle information, obtained from 3D motion capture novice participants as changes in colour of an LED line when they were “set” position. Based on initial user feedback, indicated whether participants’ angles...
Two studies of a human-AI collaborative design tool were carried out in order to understand the influence recommendations have on process. The investigated is based an evolutionary algorithm attempting virtual car travel as far possible fixed time. Participants able their own cars, make and view sets from algorithm. algorithm-recommended designs which had been previously tested; some simply randomly picked other using MAP-Elites. In first study 808 sessions recorded part science outreach...
In this paper, an optimisation procedure is introduced that uses a significantly cheaper, and CFD-free, objective function for aerodynamic than conventional CFD-driven approaches. Despite the reduced computational cost, we show approach can still drive scheme towards design with similar reduction in drag coefficient wave drag-dominated problems. The used ‘CFD-free’, i.e., it does not require any analysis. It be applied to geometries discretised using meshes more conventionally ‘standard’...