All Outputs (359)

AVEC 2017--Real-life depression, and affect recognition workshop and challenge (2017)
Conference Proceeding
Ringeval, F., Schuller, B., Valstar, M., Gratch, J., Cowie, R., Scherer, S., …Pantic, M. (2017). AVEC 2017--Real-life depression, and affect recognition workshop and challenge.

The Audio/Visual Emotion Challenge and Workshop (AVEC 2017) “Real-life depression, and affect” will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods for automatic audiovisual depression and em... Read More about AVEC 2017--Real-life depression, and affect recognition workshop and challenge.

Sensorless control of matrix converter-fed synchronous reluctance motor drives (2017)
Conference Proceeding
Yousefi-Talouki, A., Stella, F., Odhano, S., De Lillo, L., Trentin, A., Pellegrino, G., & Zanchetta, P. (in press). Sensorless control of matrix converter-fed synchronous reluctance motor drives.

This paper presents a sensorless control technique based on direct flux vector control (DFVC) method for synchronous reluctance (SyR) motor drives fed by a three-phase to three-phase matrix converter (MC). Rotor position is estimated based on active... Read More about Sensorless control of matrix converter-fed synchronous reluctance motor drives.

Deep learning for multi-task plant phenotyping (2017)
Conference Proceeding
Pound, M. P., Atkinson, J. A., Wells, D. M., Pridmore, T. P., & French, A. P. (2017). Deep learning for multi-task plant phenotyping. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017 (2055-2063). https://doi.org/10.1109/ICCVW.2017.241

Plant phenotyping has continued to pose a challenge to computer vision for many years. There is a particular demand to accurately quantify images of crops, and the natural variability and structure of these plants presents unique difficulties. Recent... Read More about Deep learning for multi-task plant phenotyping.

Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks (2017)
Conference Proceeding
Radenkovic, M., & Huynh, V. S. H. (2017). Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

This paper investigates complex challenges of opportunistic discovery of content stored in remote mobile devices and delivery to the requesting nodes in heterogeneous mobile disconnection prone environments. We propose new latency aware collaborative... Read More about Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

Indirect predictive control strategy with mitigation of input filter resonances for a direct matrix converter (2017)
Conference Proceeding
Rivera, M., Di, Z., Zhang, J., & Wheeler, P. (2017). Indirect predictive control strategy with mitigation of input filter resonances for a direct matrix converter.

In this paper an indirect model predictive current control strategy is proposed. The proposed method simplifies the computational cost while avoiding the use of weighting factors. Weighting factors are an issue for model predictive control in a direc... Read More about Indirect predictive control strategy with mitigation of input filter resonances for a direct matrix converter.

Indirect predictive control techniques for a matrix converter operating at fixed switching frequency (2017)
Conference Proceeding
Rivera, M., Toleda, S., Tariscotti, L., Wheeler, P., & Verne, S. (in press). Indirect predictive control techniques for a matrix converter operating at fixed switching frequency.

The direct matrix converter (DMC) has a large number of available switching states, wherewith, the implementa¬tion of predictive control techniques requires high computational resources. In addition, the simultaneous selection of weighting factors fo... Read More about Indirect predictive control techniques for a matrix converter operating at fixed switching frequency.

Design Implications of Drivers’ Engagement with Secondary Activities During Highly-Automated Driving – A Longitudinal Simulator Study (2017)
Conference Proceeding
Large, D. R., Burnett, G. E., Morris, A., Muthumani, A., & Matthias, R. (2017). Design Implications of Drivers’ Engagement with Secondary Activities During Highly-Automated Driving – A Longitudinal Simulator Study.

Highly-automated vehicles will provide the freedom for drivers to engage in secondary activities while the vehicle is in control. However, little is known regarding the nature of activities that drivers will undertake, and how these may impact driver... Read More about Design Implications of Drivers’ Engagement with Secondary Activities During Highly-Automated Driving – A Longitudinal Simulator Study.

Engineering and fabrication of the “Off the Cuff” pavilion, Fuorisalone 2017, Milan (2017)
Conference Proceeding
Beccarelli, P., & Maffei, R. (2017). Engineering and fabrication of the “Off the Cuff” pavilion, Fuorisalone 2017, Milan.

The paper presents the engineering and fabrication of the “Off The Cuff” pavilion designed by Diller Scofidio + Renfro for the exhibition “A Matter of Perception: LINKING MINDS” organised by DAMNº and Mosca Partners at Palazzo Litta for the FuoriSalo... Read More about Engineering and fabrication of the “Off the Cuff” pavilion, Fuorisalone 2017, Milan.

True-color 3D surface metrology for additive manufacturing using interference microscopy (2017)
Conference Proceeding
DiSciacca, J., Gomez, C., Thompson, A., Lawes, S., Leach, R., Colonna de Lega, X., & de Groot, P. (2017). True-color 3D surface metrology for additive manufacturing using interference microscopy.

Coherence scanning interferometry (CSI) is widely used for surface topography characterisation. With the ability to measure both rough surfaces with the high slopes and optical finishes, CSI has made contibutions in fields from industrial machining t... Read More about True-color 3D surface metrology for additive manufacturing using interference microscopy.

Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry (2017)
Conference Proceeding
Gómez, C. A., Su, R., Thompson, A., DiSciacca, J., Lawes, S., & Leach, R. K. (2017). Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry.

The surface topography of metal additive manufactured (AM) parts can be challenging to measure due to the presence of complex features, such as high slopes, step like recesses and protuberances, and local variations in reflectance. Recent innovations... Read More about Optimisation of surface topography characterisation for metal additive manufacturing using coherence scanning interferometry.

Feature-based characterisation of laser powder bed fusion surfaces (2017)
Conference Proceeding
Senin, N., Thompson, A., & Leach, R. K. (2017). Feature-based characterisation of laser powder bed fusion surfaces.

A novel algorithmic pipeline for the automated identification and dimensional/geometric characterisation of topographic formations of interest (surface features) is proposed, specifically aimed at the investigation of signature features left by laser... Read More about Feature-based characterisation of laser powder bed fusion surfaces.

Defect evolution in laser powder bed fusion additive manufactured components during thermo-mechanical testing (2017)
Conference Proceeding
Xu, Z., Hyde, C. J., Thompson, A., Leach, R. K., Maskery, I., Tuck, C., & Clare, A. T. (2017). Defect evolution in laser powder bed fusion additive manufactured components during thermo-mechanical testing.

The mechanical performance of additively manufactured (AM) components remains an issue, limiting the implementation of AM technologies. In this work, a new method is presented, to examine the evolution of defects in an Inconel 718 two-bar test specim... Read More about Defect evolution in laser powder bed fusion additive manufactured components during thermo-mechanical testing.

Axial eccentric SynRel and SPM motors analytical models validation using 3D finite element (2017)
Conference Proceeding
Mahmoud, H., Al-Timimy, A., Degano, M., Di Nardo, M., Bianchi, N., & Gerada, C. (2017). Axial eccentric SynRel and SPM motors analytical models validation using 3D finite element. In Proceedings of the 2017 - IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2017 (38-44). https://doi.org/10.1109/DEMPED.2017.8062331

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.

Evaluation of isolated DC/DC converter topologies for future HVDC aerospace microgrids (2017)
Conference Proceeding
Tarisciotti, L., Costabeber, A., Linglin, C., Walker, A., & Galea, M. (2017). Evaluation of isolated DC/DC converter topologies for future HVDC aerospace microgrids. In ECCE 2017: IEEE Conversion Congress & Expo (2238-2245). https://doi.org/10.1109/ECCE.2017.8096437

High performance power conversion equipment is currently gaining an increasing interest for aircraft applications. In particular, isolated bidirectional DC/DC converters are often proposed for modern HVDC aircraft distribution systems. For such reaso... Read More about Evaluation of isolated DC/DC converter topologies for future HVDC aerospace microgrids.

Linking sensory perceptions and physical properties of orange drinks (2017)
Conference Proceeding
McCulloch, J., Isaev, S., Bachour, K., Jreissat, M., Wagner, C., & Makatsoris, C. (2017). Linking sensory perceptions and physical properties of orange drinks.

This paper investigates if sensory perceptions of orange drinks (e.g., acidity, thickness, wateriness) can be linked to physical measurements (e.g., pH, particle size, density). Using this information, manufactured drinks can be tailored according to... Read More about Linking sensory perceptions and physical properties of orange drinks.

Comparative study and optimal design of alternative PM configuration transverse flux linear machine (2017)
Conference Proceeding
Zhu, S., Cox, T., Gerada, C., & Xu, Z. (in press). Comparative study and optimal design of alternative PM configuration transverse flux linear machine.

This paper presents the comparative study and optimal design of a transverse flux linear machine with different PM configurations, viz. surface-mounted and consequent-pole, in which the consequent-pole version is firstly proposed. Firstly, the effect... Read More about Comparative study and optimal design of alternative PM configuration transverse flux linear machine.

Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases (2017)
Conference Proceeding
Dzogang, F., Goulding, J., Lightman, S., & Cristianini, N. (2017). Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases. In Advances in Intelligent Data Analysis XVI (63-74). https://doi.org/10.1007/978-3-319-68765-0_6

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.

Improving magnetic gear overload torque with cage rotor bars (2017)
Conference Proceeding
Ackay, Y., Cox, T., & Costabeber, A. (2017). Improving magnetic gear overload torque with cage rotor bars. In 2017 20th International Conference on Electrical Machines and Systems (ICEMS) (1-5). https://doi.org/10.1109/ICEMS.2017.8056295

This paper introduces a coaxial magnetic gearbox with a new high-speed rotor configuration. The proposed configuration optimizes magnet volume and employs cage rotor bars in the high-speed rotor. The resulting proposed gear improves torque performanc... Read More about Improving magnetic gear overload torque with cage rotor bars.

A modulated model predictive control scheme for the brushless doubly-fed induction machine (2017)
Conference Proceeding
Li, X., Peng, T., Dan, H., Zhang, G., Tang, W., & Wheeler, P. (2017). A modulated model predictive control scheme for the brushless doubly-fed induction machine. In 2017 IEEE Energy Conversion Congress and Exposition (ECCE) (1338-1342). https://doi.org/10.1109/ECCE.2017.8095945

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.

Integration of prognostics at a system level: a Petri net approach (2017)
Conference Proceeding
Chiachío, M., Chiachío, J., Sankararaman, S., & Andrews, J. (2017). Integration of prognostics at a system level: a Petri net approach.

This paper presents a mathematical framework for modeling prognostics at a system level, by combining the prognostics principles with the Plausible Petri nets (PPNs) formalism, first developed in M. Chiach´ıo et al. [Proceedings of the Future Technol... Read More about Integration of prognostics at a system level: a Petri net approach.