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Transparency Of Execution Using Epigenetic Networks (2017)
Presentation / Conference Contribution
Dethlefs, N., & Turner, A. (2017, September). Transparency Of Execution Using Epigenetic Networks. Presented at 14th European Conference on Artificial Life, ECAL 2017, Lyon, France

This paper describes how the recurrent connectionist architecture epiNet, which is capable of dynamically modifying its topology, is able to provide a form of transparent execution. EpiNet, which is inspired by eukaryotic gene regulation in nature, i... Read More about Transparency Of Execution Using Epigenetic Networks.

DEIS: Dependability Engineering Innovation for Industrial CPS (2017)
Book Chapter
Armengaud, E., Macher, G., Massoner, A., Frager, S., Adler, R., Schneider, D., …Kelly, T. (2018). DEIS: Dependability Engineering Innovation for Industrial CPS. In C. Zachäus, B. Müller, & G. Meyer (Eds.), Advanced Microsystems for Automotive Applications 2017 : Smart Systems Transforming the Automobile (151-163). Cham: Springer. https://doi.org/10.1007/978-3-319-66972-4_13

The open and cooperative nature of Cyber-Physical Systems (CPS) poses new challenges in assuring dependability. The DEIS project (Dependability Engineering Innovation for automotive CPS. This project has received funding from the European Union’s Hor... Read More about DEIS: Dependability Engineering Innovation for Industrial CPS.

A fuzzy Bayesian network approach for risk analysis in process industries (2017)
Journal Article
Yazdi, M., & Kabir, S. (2017). A fuzzy Bayesian network approach for risk analysis in process industries. Process Safety and Environmental Protection, 111, 507-519. https://doi.org/10.1016/j.psep.2017.08.015

Fault tree analysis is a widely used method of risk assessment in process industries. However, the classical fault tree approach has its own limitations such as the inability to deal with uncertain failure data and to consider statistical dependence... Read More about A fuzzy Bayesian network approach for risk analysis in process industries.

A model-based extension to HiP-HOPS for dynamic fault propagation studies (2017)
Journal Article
Kabir, S., Papadopoulos, Y., Walker, M., Parker, D., Aizpurua, J. I., Lampe, J., & Rüde, E. (2017). A model-based extension to HiP-HOPS for dynamic fault propagation studies. Lecture notes in computer science, 10437 LNCS, 163-178. https://doi.org/10.1007/978-3-319-64119-5_11

HiP-HOPS is a model-based approach for assessing the dependability of safety-critical systems. The method combines models, logic, probabilities and nature-inspired algorithms to provide advanced capabilities for design optimisation, requirement alloc... Read More about A model-based extension to HiP-HOPS for dynamic fault propagation studies.

Lateralized Eye Use Towards Video Stimuli in Bearded Dragons (Pogona vitticeps) (2017)
Journal Article
Frohnwieser, A., Pike, T., Murray, J., & Wilkinson, A. (2017). Lateralized Eye Use Towards Video Stimuli in Bearded Dragons (Pogona vitticeps). Animal behavior and cognition, 4(3), 340-348. https://doi.org/10.26451/abc.04.03.11.2017

Lateralized eye use is thought to increase brain efficiency, as the two hemispheres process different information perceived by the eyes. It has been observed in a wide variety of vertebrate species and, in general, information about conspecifics appe... Read More about Lateralized Eye Use Towards Video Stimuli in Bearded Dragons (Pogona vitticeps).

Model-connected safety cases (2017)
Presentation / Conference Contribution
Retouniotis, A., Papadopoulos, Y., Sorokos, I., Parker, D., Matragkas, N., & Sharvia, S. Model-connected safety cases

© 2017, Springer International Publishing AG. We propose the concept of a model-connected safety case that could simplify certification of complex systems. System design models support the synthesis of both the structure of the safety case and the ev... Read More about Model-connected safety cases.

Disability-aware adaptive and personalised learning for students with multiple disabilities (2017)
Journal Article
Nganji, J. T., & Brayshaw, M. (2017). Disability-aware adaptive and personalised learning for students with multiple disabilities. International Journal of Information and Learning Technology, 34(4), 307-321. https://doi.org/10.1108/IJILT-08-2016-0027

Purpose The purpose of this paper is to address how virtual learning environments (VLEs) can be designed to include the needs of learners with multiple disabilities. Specifically, it employs AI to show how specific learning materials from a huge repo... Read More about Disability-aware adaptive and personalised learning for students with multiple disabilities.

Exploring the training potential of recent virtual robotic platforms: A comprehensive review (2017)
Journal Article
Ali Ajwad, S., Ul islam, R., & Iqbal, J. (2017). Exploring the training potential of recent virtual robotic platforms: A comprehensive review. Journal of Advancements in Robotics, 4(2), 9-25

In recent years, deployment of robotic manipulators in industries and other fields has increased significantly. This growing trend highlights the need of trained engineers and technicians. Virtual robotic platforms facilitate engineers to acquire kno... Read More about Exploring the training potential of recent virtual robotic platforms: A comprehensive review.

Using formal game design methods to embed learning outcomes into game mechanics and avoid emergent behaviour (2017)
Journal Article
Grey, S., Grey, D., Gordon, N., & Purdy, J. (2017). Using formal game design methods to embed learning outcomes into game mechanics and avoid emergent behaviour. International Journal of Game-Based Learning, 7(3), 63-73. https://doi.org/10.4018/ijgbl.2017070106

This paper offers an approach to designing game based learning experiences inspired by the Mechanics-Dynamics-Aesthetics (MDA) model (Hunicke et al, 2004) and the elemental tetrad (Schell, 2008) model for game design. A case for game based learning a... Read More about Using formal game design methods to embed learning outcomes into game mechanics and avoid emergent behaviour.

Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate (2017)
Presentation / Conference Contribution
Ma, X., Martin, C., McIntyre, G., Lin, P., & Mossey, P. Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate

© Copyright 2017 American Cleft Palate-Craniofacial Association. Objective: The modified Huddart and Bodenham scoring system assesses maxillary arch constriction and surgical outcomes in cleft lip and palate. This project automates modified Huddart a... Read More about Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate.

Combining depth and intensity images to produce enhanced object detection for use in a robotic colony (2017)
Journal Article
Balding, S., & Davis, D. N. (2017). Combining depth and intensity images to produce enhanced object detection for use in a robotic colony. Lecture notes in computer science, 10454, 115-125. https://doi.org/10.1007/978-3-319-64107-2_10

Robotic colonies that can communicate with each other and interact with their ambient environments can be utilized for a wide range of research and industrial applications. However amongst the problems that these colonies face is that of the isolatin... Read More about Combining depth and intensity images to produce enhanced object detection for use in a robotic colony.

Domain transfer for deep natural language generation from abstract meaning representations (2017)
Journal Article
Dethlefs, N. (2017). Domain transfer for deep natural language generation from abstract meaning representations. IEEE computational intelligence magazine, 12(3), 18-28. https://doi.org/10.1109/mci.2017.2708558

Stochastic natural language generation systems that are trained from labelled datasets are often domainspecific in their annotation and in their mapping from semantic input representations to lexical-syntactic outputs. As a result, learnt models fail... Read More about Domain transfer for deep natural language generation from abstract meaning representations.

An evaluation of the scanning electron microscope mirror effect to study viscoelastically prestressed polymeric matrix composites (2017)
Journal Article
Ge, C., Wang, B., & Fancey, K. S. (2017). An evaluation of the scanning electron microscope mirror effect to study viscoelastically prestressed polymeric matrix composites. Materials Today Communications, 12, 79-87. https://doi.org/10.1016/j.mtcomm.2017.07.001

A viscoelastically prestressed polymeric matrix composite (VPPMC) is produced by applying tensile creep to polymeric fibres, the creep load being removed before the fibres are moulded into a resin matrix. Following matrix curing, the viscoelastically... Read More about An evaluation of the scanning electron microscope mirror effect to study viscoelastically prestressed polymeric matrix composites.

Clear-days operational performance of a hybrid experimental space heating system employing the novel mini-channel solar thermal & PV/T panels and a heat pump (2017)
Journal Article
Zhou, J., Zhao, X., Ma, X., Du, Z., Fan, Y., Cheng, Y., & Zhang, X. (2017). Clear-days operational performance of a hybrid experimental space heating system employing the novel mini-channel solar thermal & PV/T panels and a heat pump. Solar Energy, 155, 464-477. https://doi.org/10.1016/j.solener.2017.06.056

The paper investigated a hybrid experimental space heating system that comprises the novel mini-channel solar thermal and PV/T panels, as well as a heat pump. The major advantage of the system lies in the multiple functions of providing energy for sp... Read More about Clear-days operational performance of a hybrid experimental space heating system employing the novel mini-channel solar thermal & PV/T panels and a heat pump.

A hybrid evaluation approach and guidance for mHealth education applications (2017)
Book Chapter
Aljaber, T., & Gordon, N. (2018). A hybrid evaluation approach and guidance for mHealth education applications. In Advances in Intelligent Systems and Computing; Advances in Usability and User Experience (282-290). Springer Verlag. https://doi.org/10.1007/978-3-319-60492-3_27

© Springer International Publishing AG 2018. Mobile health education applications (MHEAs) are used to support different users. However, although these applications are increasing in number, there is no effective evaluation framework to measure their... Read More about A hybrid evaluation approach and guidance for mHealth education applications.

Nonlinear control systems - A brief overview of historical and recent advances (2017)
Journal Article
Iqbal, J., Ullah, M., Khan, S. G., Khelifa, B., & Ćuković, S. (2017). Nonlinear control systems - A brief overview of historical and recent advances. Nonlinear Engineering, 6(4), 301-312. https://doi.org/10.1515/nleng-2016-0077

Last five decades witnessed remarkable developments in linear control systems and thus problems in this subject has been largely resolved. The scope of the present paper is beyond linear solutions. Modern technology demands sophisticated control laws... Read More about Nonlinear control systems - A brief overview of historical and recent advances.

Connecting Undergraduate Students as Partners in Computer Science Teaching and Research (2017)
Journal Article
Gordon, N. A., & Brayshaw, M. (2017). Connecting Undergraduate Students as Partners in Computer Science Teaching and Research. New Directions in the Teaching of Physical Sciences, 12(12), https://doi.org/10.29311/ndtps.v0i12.598

Connecting undergraduate students as partners can lead to the enhancement of the undergraduate experience and allow students to see the different sides of the university. Such holistic perspectives may better inform academic career choices and postgr... Read More about Connecting Undergraduate Students as Partners in Computer Science Teaching and Research.

Hierarchical strategies for efficient fault recovery on the reconfigurable PAnDA device (2017)
Journal Article
Trefzer, M. A., Lawson, D. M. R., Bale, S. J., Walker, J. A., Tyrrell, A. M., Lawson, D. M., Lawson, D., Walker, J., Bale, S., Trefzer, M., & Tyrrell, A. (2017). Hierarchical strategies for efficient fault recovery on the reconfigurable PAnDA device. IEEE Transactions on Computers, 66(6), 930-945. https://doi.org/10.1109/TC.2016.2632722

A novel hierarchical fault-tolerance methodology for reconfigurable devices is presented. A bespoke multi-reconfigurable FPGA architecture, the programmable analogue and digital array (PAnDA), is introduced allowing fine-grained reconfiguration beyon... Read More about Hierarchical strategies for efficient fault recovery on the reconfigurable PAnDA device.

Analysis of the EPSRC Principles of Robotics in regard to key research topics (2017)
Journal Article
Gning, A., Davis, D. N., Cheng, Y., & Robinson, P. (2017). Analysis of the EPSRC Principles of Robotics in regard to key research topics. Connection Science, 29(3), 249-253. https://doi.org/10.1080/09540091.2017.1323456

© 2017 Informa UK Limited, trading as Taylor & Francis Group. In this paper, we review the five rules published in EPSRC Principles of Robotics with a specific focus on future robotics research topics. It is demonstrated through a pictorial represe... Read More about Analysis of the EPSRC Principles of Robotics in regard to key research topics.

Collaborative hybrid agent provision of learner needs using ontology based semantic technology (2017)
Journal Article
Brayshaw, M., Nganji, J., & Gordon, N. (2017). Collaborative hybrid agent provision of learner needs using ontology based semantic technology. Lecture notes in computer science, 10296 LNCS, 341-351. https://doi.org/10.1007/978-3-319-58515-4_27

© Springer International Publishing AG 2017. This paper describes the use of Intelligent Agents and Ontologies to implement knowledge navigation and learner choice when interacting with complex information locations. The paper is in two parts: the fi... Read More about Collaborative hybrid agent provision of learner needs using ontology based semantic technology.