Outputs (492)

Communicating Connected Components: Extending Plug-and-Play to Support Skeletons (2017)
Presentation / Conference Contribution
Chalmers, K., Kerridge, J., & Pedersen, J. B. (2017). Communicating Connected Components: Extending Plug-and-Play to Support Skeletons. In Communicating Process Architectures 2016

For a number of years, the Communicating Process Architecture (CPA) community have developed languages and runtimes supporting message passing concurrency. For these we always provide a set of reusable processes called plug and play. These components... Read More about Communicating Connected Components: Extending Plug-and-Play to Support Skeletons.

The Design and Evaluation of a Modern C++ Library (2016)
Presentation / Conference Contribution
Chalmers, K. (2016, August). The Design and Evaluation of a Modern C++ Library. Presented at Communicating Process Architectures 2016, Copenhagen, Denmark

Although many CSP inspired libraries exist, none yet have targeted modern C++ (C++11 onwards). The work presented has a main objective of providing a new C++ CSP library which adheres to modern C++ design principles and standards. A secondary objecti... Read More about The Design and Evaluation of a Modern C++ Library.

AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks (2017)
Presentation / Conference Contribution
Rotärmel, S., Farrenkopf, T., Guckert, M., & Urquhart, N. (2017, June). AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks. Presented at Practical Applications of Agents and Multi-Agent Systems, Porto, Portugal

AGADE-TRAFFIC is a tool for simulating traffic flow in networks. Traffic participants are modelled as NetLogo agents and are visualised in a graphical user interface. Geographic information is stored in a graph database and AGADE-TRAFFIC communicates... Read More about AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks.

The importance of the individual encoding in memetic algorithms with diversity control applied to large Sudoku puzzles (2017)
Presentation / Conference Contribution
Segura, C., Segredo, E., & Miranda, G. (2017, June). The importance of the individual encoding in memetic algorithms with diversity control applied to large Sudoku puzzles. Presented at 2017 IEEE Congress on Evolutionary Computation (CEC)

In recent years, several memetic algorithms with explicit mechanisms to delay convergence have shown great promise when solving 9x9 Sudoku puzzles. This paper analyzes and extends state-of-the-art schemes for dealing with Sudoku puzzles of larger dim... Read More about The importance of the individual encoding in memetic algorithms with diversity control applied to large Sudoku puzzles.

Real-time rendering with compressed animated light fields. (2017)
Presentation / Conference Contribution
Koniaris, B., Kosek, M., Sinclair, D., & Mitchell, K. (2017, May). Real-time rendering with compressed animated light fields. Presented at 43rd Graphics Interface Conference

We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion. By transforming offline rendered movie content into a novel immersive repr... Read More about Real-time rendering with compressed animated light fields..

Mango: A model-driven approach to engineering green Mobile Cloud Applications (2017)
Thesis
Chinenyeze, S. J. Mango: A model-driven approach to engineering green Mobile Cloud Applications. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/976572

With the resource constrained nature of mobile devices and the resource abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about Mango: A model-driven approach to engineering green Mobile Cloud Applications.

Rapid one-shot acquisition of dynamic VR avatars (2017)
Presentation / Conference Contribution
Malleson, C., Kosek, M., Klaudiny, M., Huerta, I., Bazin, J., Sorkine-Hornung, A., Mine, M., & Mitchell, K. (2017, March). Rapid one-shot acquisition of dynamic VR avatars. Presented at 2017 IEEE Virtual Reality (VR), Los Angeles, US

We present a system for rapid acquisition of bespoke, animatable, full-body avatars including face texture and shape. A blendshape rig with a skeleton is used as a template for customization. Identity blendshapes are used to customize the body and fa... Read More about Rapid one-shot acquisition of dynamic VR avatars.

Tasks and visual techniques for the exploration of temporal graph data (2017)
Thesis
Kerracher, N. Tasks and visual techniques for the exploration of temporal graph data. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/977758

This thesis considers the tasks involved in exploratory analysis of temporal graph data, and the visual techniques which are able to support these tasks. There has been an enormous increase in the amount and availability of graph (network) data,... Read More about Tasks and visual techniques for the exploration of temporal graph data.

Real-time Physics-based Motion Capture with Sparse Sensors (2016)
Presentation / Conference Contribution
Andrews, S., Huerta, I., Komura, T., Sigal, L., & Mitchell, K. (2016, December). Real-time Physics-based Motion Capture with Sparse Sensors. Presented at 13th European Conference on Visual Media Production (CVMP 2016) - CVMP 2016

We propose a framework for real-time tracking of humans using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units. A small number of sensors leaves the performer unencumbered by not requiring de... Read More about Real-time Physics-based Motion Capture with Sparse Sensors.

The concurrent evolution of cooperation and the population structures that support it (2011)
Journal Article
Powers, S. T., Penn, A. S., & Watson, R. A. (2011). The concurrent evolution of cooperation and the population structures that support it. Evolution, 65(6), 1527-1543. https://doi.org/10.1111/j.1558-5646.2011.01250.x

The evolution of cooperation often depends upon population structure, yet nearly all models of cooperation implicitly assume that this structure remains static. This is a simplifying assumption, because most organisms possess genetic traits that affe... Read More about The concurrent evolution of cooperation and the population structures that support it.

The co-evolution of social institutions, demography, and large-scale human cooperation (2013)
Journal Article
Powers, S. T., & Lehmann, L. (2013). The co-evolution of social institutions, demography, and large-scale human cooperation. Ecology Letters, 16(11), 1356-1364. https://doi.org/10.1111/ele.12178

Human cooperation is typically coordinated by institutions, which determine the outcome structure of the social interactions individuals engage in. Explaining the Neolithic transition from small‐ to large‐scale societies involves understanding how th... Read More about The co-evolution of social institutions, demography, and large-scale human cooperation.

Punishment can promote defection in group-structured populations (2012)
Journal Article
Powers, S. T., Taylor, D. J., & Bryson, J. J. (2012). Punishment can promote defection in group-structured populations. Journal of Theoretical Biology, 311, 107-116. https://doi.org/10.1016/j.jtbi.2012.07.010

Pro-social punishment, whereby cooperators punish defectors, is often suggested as a mechanism that maintains cooperation in large human groups. Importantly, models that support this idea have to date only allowed defectors to be the target of punish... Read More about Punishment can promote defection in group-structured populations.

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017, June). An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. Presented at 3rd International Conference on Cloud Computing and Security (ICCCS 2017)

With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. However, the requirements of performance for WSNs are becoming great in terms... Read More about An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs.

An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017, July). An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. Presented at 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Guangzhou, Guangdong, China

Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance of slow tasks distribution. Speculative execution (SE) presents a way to d... Read More about An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment.

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings (2016)
Journal Article
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., Jarosz, W., & Novák, J. (2016). Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum, 35(4), 107-117. https://doi.org/10.1111/cgf.12954

We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide range of scenes. We analyze existing approaches from a theoretical and empiric... Read More about Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings.

Adaptive polynomial rendering (2016)
Presentation / Conference Contribution
Moon, B., McDonagh, S., Mitchell, K., & Gross, M. (2016, July). Adaptive polynomial rendering. Presented at ACM SIGGRAPH 2016, Anaheim, California, US

In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ray tracing, by reducing noise contained in rendered images while preserving high-frequency edges. Our method locally approximates an image with polyn... Read More about Adaptive polynomial rendering.

Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences (2014)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., Mcsporran, A., Mcgowan, A., Mort, A., & Dewar, M. (2014). Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences. In BCS Health Informatics Scotland (HIS)

Understanding and interpreting medical sensor data is an essential part of pre-hospital care in medical emergencies, but requires training and previous knowledge. In this paper, we describe ongoing work towards a medical decision support tool, which... Read More about Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences.

Introducing ALIAS (2015)
Presentation / Conference Contribution
Wells, S., & LaGreca, R. (2015, October). Introducing ALIAS. Paper presented at 15th International Workshop on Computation Models of Natural Argument

ALIAS is a Python library for constructing, manipulating, storing, visualising, and converting argumentation structues. It is available with full source code under a copyleft license and aims to become a Swiss Army Knife for working with arguments in... Read More about Introducing ALIAS.

Using argumentation within sustainable transport communication (2016)
Book Chapter
Wells, S., & Pangbourne, K. (2016). Using argumentation within sustainable transport communication. In Argumentation and Reasoned Action Volume 1 (781-801). College Publications

In this paper we present the preliminary results of a survey of persuasive communication within the sustainable transport domain. This survey is underpinned by a reconstruction of the arguments used, a scheme oriented analysis of the corpus of recon... Read More about Using argumentation within sustainable transport communication.

Evaluation of a genetic representation for outline shapes (2017)
Presentation / Conference Contribution
Lapok, P., Lawson, A., & Paechter, B. (2017). Evaluation of a genetic representation for outline shapes. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion (1419-1422). https://doi.org/10.1145/3067695.3082501

This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real-world problem of modelling and evolving planar mechanical lever systems. T... Read More about Evaluation of a genetic representation for outline shapes.