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Reasoning with BDI robots: from simulation to physical environment – implementations and limitations (2017)
Journal Article
Davis, D. N., & Ramulu, S. K. (2017). Reasoning with BDI robots: from simulation to physical environment – implementations and limitations. Paladyn journal of behavioural robotics, 8(1), 39-57. https://doi.org/10.1515/pjbr-2017-0003

In this paper an overview of the state of research into cognitive robots is given. This is driven by insights arising from research that has moved from simulation to physical robots over the course of a number of sub-projects. A number of major issue... Read More about Reasoning with BDI robots: from simulation to physical environment – implementations and limitations.

T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM (2017)
Journal Article
Han, Z., Wang, Y., Ma, X., Liu, S., Zhang, X., & Zhang, G. (2017). T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM. Applied Sciences, 7(10), 1092. https://doi.org/10.3390/app7101092

With the development of the modern manufacturing industry, the free-form surface is widely used in various fields, and the automatic detection of a free-form surface is an important function of future intelligent three-coordinate measuring machines (... Read More about T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM.

LizBOT design and prototyping of a wireless controlled wall climbing surveillance robot (2017)
Presentation / Conference Contribution
Ali, N., Zafar, U., Ahmad, S., Iqbal, J., & Khan, Z. H. (2017). LizBOT design and prototyping of a wireless controlled wall climbing surveillance robot. In International Conference on Communication Technologies (ComTech 2017) (210-215). https://doi.org/10.1109/COMTECH.2017.8065776

LizBOT is an indigenously developed innovative surveillance robot that can climb on a wall and other high rise buildings where the human intervention is either cumbersome or not possible. To keep the robot stuck with the wall, a suction force is requ... Read More about LizBOT design and prototyping of a wireless controlled wall climbing surveillance robot.

Robust anonymous mutual authentication scheme for n-times ubiquitous mobile cloud computing services (2017)
Journal Article
Gope, P., & Das, A. K. (2017). Robust anonymous mutual authentication scheme for n-times ubiquitous mobile cloud computing services. IEEE internet of things journal, 4(5), 1764-1772. https://doi.org/10.1109/jiot.2017.2723915

In recent years, mobile computing has gained a huge popularity among mobile users (MUs). It basically combines the mobile devices with the cloud computing. By the means of on-demand self-service and extendibility, it can offer the infrastructures, pl... Read More about Robust anonymous mutual authentication scheme for n-times ubiquitous mobile cloud computing services.

Magnetic control of MOF crystal orientation and alignment (2017)
Journal Article
Cheng, F., Marshall, E. S., Young, A. J., Robinson, P. J., Bouillard, J. S. G., Adawi, A. M., Vermeulen, N. A., Farha, O. K., Reithofer, M. R., & Chin, J. M. (2017). Magnetic control of MOF crystal orientation and alignment. Chemistry: a European journal, 23(62), 15578-15582. https://doi.org/10.1002/chem.201703812

Most metal-organic frameworks (MOFs) possess anisotropic properties, the full exploitation of which necessitates a general strategy for the controllable orientation of such MOF crystals. Current methods largely rely upon layer-by-layer MOF epitaxy or... Read More about Magnetic control of MOF crystal orientation and alignment.

An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure (2017)
Journal Article
Wang, Q., Ren, J., N Davis, D., & Cheng, Y. (2018). An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure. Intelligent Automation and Soft Computing, 24(2), 399-404. https://doi.org/10.1080/10798587.2017.1340135

Frequent pattern mining usually requires much run time and memory usage. In some applications, only the patterns with top frequency rank are needed. Because of the limited pattern numbers, quality of the results is even more important than time and m... Read More about An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure.

Design of Cognitive Radio Database using Terrain Maps and Validated Propagation Models (2017)
Journal Article
Fanan, A. M., Riley, N., & Mehdawi, M. (2017). Design of Cognitive Radio Database using Terrain Maps and Validated Propagation Models. Advances in science, technology and engineering systems journal, 2(6), 13-19. https://doi.org/10.25046/aj020602

Cognitive Radio (CR) encompasses a number of technologies which enable adaptive self-programing of systems at different levels to provide more effective use of the increasingly congested radio spectrum. CRs have potential to use spectrum allocated to... Read More about Design of Cognitive Radio Database using Terrain Maps and Validated Propagation Models.

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.

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.

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).

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.

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.

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.

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.

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.