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Process Plan Controllers for Non-Deterministic Manufacturing Systems
Presentation / Conference Contribution
Felli, P., De Silva, L., Logan, B., & Ratchev, S. (2017, August). Process Plan Controllers for Non-Deterministic Manufacturing Systems. Presented at Twenty-Sixth International Joint Conference on Artificial Intelligence, Melbourne, Australia

Determining the most appropriate means of producing a given product, i.e., which manufacturing and assembly tasks need to be performed in which order and how, is termed process planning. In process planning, abstract manufacturing tasks in a process... Read More about Process Plan Controllers for Non-Deterministic Manufacturing Systems.

Novel similarity measure for interval-valued data based on overlapping ratio
Presentation / Conference Contribution
Kabir, S., Wagner, C., Havens, T. C., Anderson, D. T., & Aickelin, U. (2017, July). Novel similarity measure for interval-valued data based on overlapping ratio. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy

In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs... Read More about Novel similarity measure for interval-valued data based on overlapping ratio.

Interpretability indices for hierarchical fuzzy systems
Presentation / Conference Contribution
Razak, T. R., Garibaldi, J. M., Wagner, C., Pourabdollah, A., & Soria, D. (2017, July). Interpretability indices for hierarchical fuzzy systems. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy

© 2017 IEEE. Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve interpretability of fuzzy logic systems (FLSs). In recent years, a variety of indices have been proposed to measure the interpretability of FLSs such as t... Read More about Interpretability indices for hierarchical fuzzy systems.

Similarity-based non-singleton fuzzy logic control for improved performance in UAVs
Presentation / Conference Contribution
Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., & Garibaldi, J. M. (2017, July). Similarity-based non-singleton fuzzy logic control for improved performance in UAVs. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy

© 2017 IEEE. As non-singleton fuzzy logic controllers (NSFLCs) are capable of capturing input uncertainties, they have been effectively used to control and navigate unmanned aerial vehicles (UAVs) recently. To further enhance the capability to handle... Read More about Similarity-based non-singleton fuzzy logic control for improved performance in UAVs.

Interaction, instruments and performance: HCI and the design of future music technologies
Presentation / Conference Contribution
Chamberlain, A., Pestova, X., Bødker, M., Kallionpää, M., De Roure, D., & Benford, S. (2017). Interaction, instruments and performance: HCI and the design of future music technologies.

Rationale
There has been little chance for researchers, performers and designers in the UK to come together in order to explore the use and design of new and evolving technologies for performance. This workshop examines the interplay between people,... Read More about Interaction, instruments and performance: HCI and the design of future music technologies.

Use of optical fibres for multi-parameter monitoringin electrical AC machines
Presentation / Conference Contribution
Hind, D. M., Gerada, C., Galea, M., Borg Bartalo, J., Fabian, M., Sun, T., & Grattan, K. T. (2017, August). Use of optical fibres for multi-parameter monitoringin electrical AC machines. Presented at IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED 2017)

This paper describes a new approach to multi-parameter monitoring for electrical AC machines. It is demonstrated that speed, torque and temperature can be measured using optical fibres incorporating sensors in the form of fibre Bragg gratings (FBGs)... Read More about Use of optical fibres for multi-parameter monitoringin electrical AC machines.

Modelling chaos in asymmetric optical fibres
Presentation / Conference Contribution
Kumar, D. S., Creagh, S., Sujecki, S., & Benson, T. M. (2017, July). Modelling chaos in asymmetric optical fibres. Presented at 2017 19th International Conference on Transparent Optical Networks (ICTON), Girona, Spain

A ray dynamical approach is developed for the study of large-core asymmetric step index fibres (SIF), especially those made from chalcogenide glasses (ChGs) which can exhibit very high refractive index, large numerical aperture, and which are transpa... Read More about Modelling chaos in asymmetric optical fibres.

Modelling of multimode selenide-chalcogenide glass fibre based mir spontaneous emission sources
Presentation / Conference Contribution
Sujecki, S., Sójka, L., Bereś-Pawlik, E., Piramidowicz, R., Sakr, H., Tang, Z., Barney, E., Furniss, D., Benson, T. M., & Seddon, A. B. (2017, July). Modelling of multimode selenide-chalcogenide glass fibre based mir spontaneous emission sources. Presented at 2017 19th International Conference on Transparent Optical Networks (ICTON), Girona, Spain

Chalcogenide glass fibres have been demonstrated as a suitable medium for the realisation of spontaneous emission sources for mid-infrared photonics applications with a particular emphasis on sensor technology. Such sources give a viable alternative... Read More about Modelling of multimode selenide-chalcogenide glass fibre based mir spontaneous emission sources.

Vehicle incident hot spots identification: An approach for big data
Presentation / Conference Contribution
Triguero, I., Figueredo, G. P., Mesgarpour, M., Garibaldi, J. M., & John, R. (2017, August). Vehicle incident hot spots identification: An approach for big data. Presented at 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, NSW, Australia

In this work we introduce a fast big data approach for road incident hot spot identification using Apache Spark. We implement an existing immuno-inspired mechanism, namely SeleSup, as a series of MapReduce-like operations. SeleSup is composed of a nu... Read More about Vehicle incident hot spots identification: An approach for big data.

Efficient numerical methods for aeroelastic analysis of wing-propeller configuration compound helicopters
Presentation / Conference Contribution
Wang, Z., Anobile, A., & Popov, A. A. Efficient numerical methods for aeroelastic analysis of wing-propeller configuration compound helicopters. Paper presented at Italian Association of Aeronautics and Astronautics XXIV International Conference

Efficient numerical methods for time-domain aeroelastic analysis of a wing structure under a propeller-wing configuration is described in the paper. A linear beam model with deformable elastic axis under torsion and flapping is considered to simulate... Read More about Efficient numerical methods for aeroelastic analysis of wing-propeller configuration compound helicopters.

Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions
Presentation / Conference Contribution
Garcia, P., Blanco, C., Navarro-Rodríguez, Á., & Sumner, M. (2017, October). Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions. Presented at 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, OH, USA

This paper proposes a novel frequency-based predictive sequence extractor that allows to isolate the harmonic components of both voltages and currents needed for the control of grid-tied converters. The proposed method is based on a modification of t... Read More about Predictive frequency-based sequence estimator for control of grid-tied converters under highly distorted conditions.

Design considerations for a high-power dual active bridge DC-DC converter with galvanically isolated transformer
Presentation / Conference Contribution
Lee, Y., Watson, A. J., Vakil, G., & Wheeler, P. (2017, October). Design considerations for a high-power dual active bridge DC-DC converter with galvanically isolated transformer. Presented at 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, OH, USA

Multi-megawatt scale isolated DC-DC converters are likely to become increasingly popular as means to interconnect the MVDC grids of different voltage levels. Three-phase dual active bridge DC-DC (3DAB) converters operating with the zero-voltage switc... Read More about Design considerations for a high-power dual active bridge DC-DC converter with galvanically isolated transformer.

Model predictive Direct Flux Vector Control of multi three-phase induction motor drives
Presentation / Conference Contribution
Rubino, S., Bojoi, R., Odhano, S., & Zanchetta, P. (2017, October). Model predictive Direct Flux Vector Control of multi three-phase induction motor drives. Presented at 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, Ohio, USA

A model predictive control scheme for multiphase induction machines, configured as multi three-phase structures, is proposed in this paper. The predictive algorithm uses a Direct Flux Vector Control scheme based on a multi three-phase approach, where... Read More about Model predictive Direct Flux Vector Control of multi three-phase induction motor drives.

Geometry optimization and characterization of three-phase medium frequency transformer for 10kVA isolated DC-DC converter
Presentation / Conference Contribution
Lee, Y., Vakil, G., Watson, A. J., & Wheeler, P. (2017, October). Geometry optimization and characterization of three-phase medium frequency transformer for 10kVA isolated DC-DC converter. Presented at IEEE Energy Conversion Congress and Exposition (ECCE) 2017, Cincinnati, OH, USA

Three-phase Dual Active Bridge converter is advisable for the High-power DC-DC conversion system.

In the ac link, galvanically isolated transformer operated at a medium frequency range provides stepping up or down of the secondary bridge voltage.... Read More about Geometry optimization and characterization of three-phase medium frequency transformer for 10kVA isolated DC-DC converter.

A modulated model predictive control scheme for the brushless doubly-fed induction machine
Presentation / Conference Contribution
Li, X., Peng, T., Dan, H., Zhang, G., Tang, W., & Wheeler, P. (2017, October). A modulated model predictive control scheme for the brushless doubly-fed induction machine. Presented at IEEE Energy Conversion Congress and Exposition (ECCE) 2017, Cincinnatti, OH, USA

This paper proposes a modulated model predictive control (MMPC) algorithm for a brushless double-fed induction machine. The Brushless Doubly-Fed Induction Machine has some important advantages over alternative solutions for brushless machine applicat... Read More about A modulated model predictive control scheme for the brushless doubly-fed induction machine.

Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system
Presentation / Conference Contribution
Eyoh, I., John, R., & De Maere, G. (2017, October). Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system. Presented at 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada

Fuzzy logic systems have been extensively applied for solving many real world application problems because they are found to be universal approximators and many methods, particularly, gradient descent (GD) methods have been widely adopted for the opt... Read More about Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system.

Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases
Presentation / Conference Contribution
Dzogang, F., Goulding, J., Lightman, S., & Cristianini, N. (2017, October). Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases. Presented at 16th International Symposium, IDA 2017, London, UK

The analysis of sentiment contained in vast amounts of Twitter messages has reliably shown seasonal patterns of variation in multiple studies, a finding that can have great importance in the understanding of seasonal affective disorders, particularly... Read More about Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases.

Axial eccentric SynRel and SPM motors analytical models validation using 3D finite element
Presentation / Conference Contribution
Mahmoud, H., Al-Timimy, A., Degano, M., Di Nardo, M., Bianchi, N., & Gerada, C. (2017, August). Axial eccentric SynRel and SPM motors analytical models validation using 3D finite element. Presented at SDEMPED 2017 - IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Tinos, Greece

This paper deals with the uniform and non-uniform axial eccentricity analyses of the surface mounted permanent magnet and synchronous reluctance machines. The analyses are carried out using an analytical model for each considered machine. Being the a... Read More about Axial eccentric SynRel and SPM motors analytical models validation using 3D finite element.

Recognizing the Presence of Hidden Visual Markers in Digital Images
Presentation / Conference Contribution
Xu, L., French, A. P., Towey, D., & Benford, S. (2017, October). Recognizing the Presence of Hidden Visual Markers in Digital Images. Presented at Thematic Workshops of ACM Multimedia 2017, Mountain View, California, USA

As the promise of Virtual and Augmented Reality (VR and AR) becomes more realistic, an interesting aspect of our enhanced living environment includes the availability — indeed the potential ubiquity — of scannable markers. Such markers could represen... Read More about Recognizing the Presence of Hidden Visual Markers in Digital Images.