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Streaming Scotland: Global Streaming Platforms and Freelance Employment Opportunities in the Scottish Screen Sector
Presentation / Conference Contribution
Correia, N. (2023, June). Streaming Scotland: Global Streaming Platforms and Freelance Employment Opportunities in the Scottish Screen Sector. Paper presented at Locating Media Industries: Cities, Spaces, Places conference, King’s College London

The paper discusses how the global demand for streaming content in recent years has led to a boom in screen production activity in Scotland, and comments on the impact of this situation on opportunities for Scottish-based film and television workers.... Read More about Streaming Scotland: Global Streaming Platforms and Freelance Employment Opportunities in the Scottish Screen Sector.

In search of a framework for academic-industry collaborations with archival institutions: Experiences from a partnership with the National Library of Scotland Moving Image Archive
Presentation / Conference Contribution
Correia, N., & Foubister, K. (2023, June). In search of a framework for academic-industry collaborations with archival institutions: Experiences from a partnership with the National Library of Scotland Moving Image Archive. Paper presented at Shaking the Archive - Reconsidering the Role of Archives in Contemporary Society, Edinburgh

The paper explores models for collaborative work between academia and public archival institutions, based on the authors’ experiences as PhD researcher and industry supervisor in the 'Film Bang' research project on the history of the Scottish screen... Read More about In search of a framework for academic-industry collaborations with archival institutions: Experiences from a partnership with the National Library of Scotland Moving Image Archive.

Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices
Presentation / Conference Contribution
Zang, Z., Dolinsky, U., Ghiglio, P., Cherubin, S., Goli, M., & Yang, S. (2023, September). Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices. Presented at FPL 2023: 33rd International Conference on Field-Programmable Logic and Applications, Gothenburg, Sweden

Multi-Level Intermediate Representation (MLIR) is gaining increasing attention in reconfigurable hardware communities due to its capability to represent various abstract levels for software compilers. This project aims to be the first to provide an e... Read More about Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices.

Considerations for grading species combinations. General remarks on scenarios and requirements
Presentation / Conference Contribution
Ridley-Ellis, D., Gil-Moreno, D., & Harte, A. M. (2023, June). Considerations for grading species combinations. General remarks on scenarios and requirements. Presented at World Conference on Timber Engineering WCTE 2023: Timber for a Livable Future, Oslo, Norway

This paper discusses the situations in which timber species might be combined in commercial combinations, and the considerations relating to strength grading work. It is expected that more species combinations will be developed in the years to come,... Read More about Considerations for grading species combinations. General remarks on scenarios and requirements.

Considerations for grading species combinations. The example of Douglas fir with larch in Ireland and UK
Presentation / Conference Contribution
Gil-Moreno, D., Ridley-Ellis, D., & Harte, A. M. (2023, June). Considerations for grading species combinations. The example of Douglas fir with larch in Ireland and UK. Presented at World Conference on Timber Engineering WCTE 2023: Timber for a Livable Future, Oslo, Norway

This paper examines the grading of Douglas fir (Pseudotsuga menziesii) and larch (Larix spp.) as a strength grading species combination for the growth area formed by Ireland and the UK. The two genera produce higher timber quality than Sitka spruce (... Read More about Considerations for grading species combinations. The example of Douglas fir with larch in Ireland and UK.

Non-parametric lower confidence bounds for the fifth percentile - EN 14358 in comparison to a fully non-parametric approach
Presentation / Conference Contribution
Weidenhiller, A., Ridley-Ellis, D., & Neumüller, A. (2023, June). Non-parametric lower confidence bounds for the fifth percentile - EN 14358 in comparison to a fully non-parametric approach. Presented at World Conference on Timber Engineering WCTE 2023: Timber for a Livable Future, Oslo, Norway

In Europe, fifth percentile values are required for the calculation of characteristic values of strength and density. The European standard EN 14358:2016 defined three ways to calculate a 75% lower confidence bound (LCB) for such fifth percentile val... Read More about Non-parametric lower confidence bounds for the fifth percentile - EN 14358 in comparison to a fully non-parametric approach.

A little about the verification of a lot (EN 14358)
Presentation / Conference Contribution
Ridley-Ellis, D. (2022, September). A little about the verification of a lot (EN 14358). Paper presented at Northern European Network for Wood Science and Engineering (WSE) 2022, Goettingen, Germany

Sometimes it is necessary to estimate the mean and/or percentile of a certain population by limited sampling, in order to compare with target values. Done properly, the method should account for random chance in the sampling so that the two risks can... Read More about A little about the verification of a lot (EN 14358).

Can you guess the strength of timber? How (your) wood quality perceptions relate to reality
Presentation / Conference Contribution
Cramer, M., & Ridley-Ellis, D. (2022, September). Can you guess the strength of timber? How (your) wood quality perceptions relate to reality. Paper presented at Northern European Network for Wood Science and Engineering (WSE) 2022, Goettingen, Germany

UK-grown timber is often perceived to have “low quality”, and most of the UK’s sawn timber is used for fencing and packaging material. Much of the resource could be used as construction timber, as UK spruce and other softwoods can be strength graded... Read More about Can you guess the strength of timber? How (your) wood quality perceptions relate to reality.

The assessment of the mechanical and physical properties of in situ timber
Presentation / Conference Contribution
Bather, M., & Ridley-Ellis, D. (2022, September). The assessment of the mechanical and physical properties of in situ timber. Paper presented at Northern European Network for Wood Science and Engineering (WSE) 2022, Goettingen, Germany

The refurbishment of existing buildings is a more sustainable option than demolition and reconstruction, leading to significant reductions in CO2 emissions and many other benefits. Policy across Europe is leaning more towards retaining and upgrading... Read More about The assessment of the mechanical and physical properties of in situ timber.

The humanitarian supply network: A paradigm problem and a big idea
Presentation / Conference Contribution
Duddy, D., Stantchev, D., & Weaver, M. (2023, September). The humanitarian supply network: A paradigm problem and a big idea. Paper presented at Logistics Research Network (LRN) Conference 2023, Heriot-Watt University, Edinburgh, Scotland

This research examines whether greater effectiveness and efficiency in humanitarian supply chains can be achieved by adopting a cybernetic approach to information flow. It looks at how, by taking a holistic view of humanitarian supply operations, the... Read More about The humanitarian supply network: A paradigm problem and a big idea.

Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control
Presentation / Conference Contribution
Smith, S. C., & Ramamoorthy, S. (2020, October). Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control. Presented at 10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics 2020 - Virtual conference, Chile, Valparaiso, Chile

We propose an architecture for training generative models of counterfactual conditionals of the form, `can we modify event A to cause B instead of C?', motivated by applications in robot control. Using an `adversarial training' paradigm, an image-bas... Read More about Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control.

Clustering-Based Searching and Navigation in an Online News Source
Presentation / Conference Contribution
Smith, S. C., & Rodríguez, M. A. (2006, April). Clustering-Based Searching and Navigation in an Online News Source. Presented at 28th European Conference on IR Research, ECIR 2006, London, UK

The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm for topic detection that considers the temporal evolution of news and t... Read More about Clustering-Based Searching and Navigation in an Online News Source.

Hierarchical quality-diversity for online damage recovery
Presentation / Conference Contribution
Allard, M., Smith, S. C., Chatzilygeroudis, K., & Cully, A. (2022, June). Hierarchical quality-diversity for online damage recovery. Presented at GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts

Adaptation capabilities, like damage recovery, are crucial for the deployment of robots in complex environments. Several works have demonstrated that using repertoires of pre-trained skills can enable robots to adapt to unforeseen mechanical damages... Read More about Hierarchical quality-diversity for online damage recovery.

Homeokinetic Reinforcement Learning
Presentation / Conference Contribution
Smith, S. C., & Herrmann, J. M. (2011, September). Homeokinetic Reinforcement Learning. Presented at First IAPR TC3 Workshop, PSL 2011, Ulm, Germany

In order to find a control policy for an autonomous robot by reinforcement learning, the utility of a behaviour can be revealed locally through a modulation of the motor command by probing actions. For robots with many degrees of freedom, this type o... Read More about Homeokinetic Reinforcement Learning.

Semi-supervised learning from demonstration through program synthesis: An inspection robot case study
Presentation / Conference Contribution
Smith, S. C., & Ramamoorthy, S. (2020, September). Semi-supervised learning from demonstration through program synthesis: An inspection robot case study. Presented at First Workshop on Agents and Robots for reliable Engineered Autonomy, Online

Semi-supervised learning improves the performance of supervised machine learning by leveraging methods from unsupervised learning to extract information not explicitly available in the labels. Through the design of a system that enables a robot to le... Read More about Semi-supervised learning from demonstration through program synthesis: An inspection robot case study.

Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles
Presentation / Conference Contribution
Volpi, N. C., Smith, S. C., Pascoal, A. M., Simetti, E., Turetta, A., Alibani, M., & Polani, D. (2018, October). Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles. Presented at OCEANS 2018 MTS/IEEE Charleston, Charleston, SC

There is increasing interest in the deployment and operation of multiple autonomous marine vehicles (AMVs) for a number of challenging scientific and commercial operational mission scenarios. Some of the missions, such as geotechnical surveying and 3... Read More about Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles.

Self-Explainable Robots in Remote Environments
Presentation / Conference Contribution
Chiyah Garcia, F. J., Smith, S. C., Lopes, J., Ramamoorthy, S., & Hastie, H. (2021, March). Self-Explainable Robots in Remote Environments. Presented at HRI '21: ACM/IEEE International Conference on Human-Robot Interaction, Boulder, Colorado

As robots and autonomous systems become more adept at handling complex scenarios, their underlying mechanisms also become increasingly complex and opaque. This lack of transparency can give rise to unverifiable behaviours, limiting the use of robots... Read More about Self-Explainable Robots in Remote Environments.

Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
Presentation / Conference Contribution
Flageat, M., Lim, B., Grillotti, L., Allard, M., Smith, S. C., & Cully, A. (2022, July). Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. Paper presented at Gecco 2022, Boston, Massachusetts

We present a Quality-Diversity benchmark suite for Deep Neuroevolution in Reinforcement Learning domains for robot control. The suite includes the definition of tasks, environments, behavioral descriptors, and fitness. We specify different benchmarks... Read More about Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning.

Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning
Presentation / Conference Contribution
Smith, S. C., Lim, B., Janmohamed, H., & Cully, A. (2023, July). Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. Presented at Genetic and Evolutionary Computation Conference Companion (GECCO 2023 Companion), Lisbon

Learning algorithms, like Quality-Diversity (QD), can be used to acquire repertoires of diverse robotics skills. This learning is commonly done via computer simulation due to the large number of evaluations required. However, training in a virtual en... Read More about Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning.