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CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging (2018)
Conference Proceeding
Radenkovic, M., & Walker, A. (2018). CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging.

Electric vehicles (EVs) are rapidly becoming more common and ownership is set to rise globally in coming years. The potential impacts of increased EVs on the electrical grid have been widely investigated and in its current state, existing grid infras... Read More about CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging.

Explicating the challenges of providing novel media experiences driven by user personal data (2018)
Conference Proceeding
Sailaja, N., Crabtree, A., McAuley, D., & Stenton, P. (2018). Explicating the challenges of providing novel media experiences driven by user personal data. In TVX '18 Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video (101-113). https://doi.org/10.1145/3210825.3210830

The turn towards personal data to drive novel media experiences has resulted in a shift in the priorities and challenges associated with media creation and dissemination. This paper takes up the challenge of explicating this novel and dynamic scenari... Read More about Explicating the challenges of providing novel media experiences driven by user personal data.

Simulated annealing with improved reheating and learning for the post enrolment course timetabling problem (2018)
Journal Article
Goh, S. L., Kendall, G., & Sabar, N. R. (2019). Simulated annealing with improved reheating and learning for the post enrolment course timetabling problem. Journal of the Operational Research Society, 70(6), 873-888. https://doi.org/10.1080/01605682.2018.1468862

In this paper, we utilise a two-stage approach for addressing the post enrolment course timetabling (PE-CTT) problem. We attempt to find a feasible solution in the first stage. The solution is further improved in terms of soft constraint violations i... Read More about Simulated annealing with improved reheating and learning for the post enrolment course timetabling problem.

A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization (2018)
Journal Article
Mohd Zain, M. Z. B., Kanesan, J., Chuah, J. H., Dhanapal, S., & Kendall, G. (2018). A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization. Applied Soft Computing, 70, 680-700. https://doi.org/10.1016/j.asoc.2018.06.022

Due to increased search complexity in multi-objective optimization, premature convergence becomes a problem. Complex engineering problems poses high number of variables with many constraints. Hence, more difficult benchmark problems must be utilized... Read More about A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization.

Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs (2018)
Conference Proceeding
Bulat, A., & Tzimiropoulos, G. (2018). Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs.

This paper addresses 2 challenging tasks: improving the quality of low resolution facial images and accurately locating the facial landmarks on such poor resolution images. To this end, we make the following 5 contributions: (a) we propose Super-FAN:... Read More about Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs.

Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis (2018)
Journal Article
Tran, T. H., Mao, Y., Nathanail, P., Siebers, P., & Robinson, D. (2019). Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis. Omega, 85, 156-165. https://doi.org/10.1016/j.omega.2018.06.008

© 2018 Elsevier Ltd In this paper, we develop an integrated model for slacks-based measure (SBM) simultaneously of both the efficiency and the super-efficiency for decision-making units (DMUs) in data envelopment analysis (DEA). Unlike the traditiona... Read More about Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis.

Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms (2018)
Conference Proceeding
Agrawal, U., Pinar, A. J., Wagner, C., Havens, T. C., Soria, D., & Garibaldi, J. M. (2018). Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms.

The Fuzzy Integral (FI) is a non-linear aggregation operator which enables the fusion of information from multiple sources in respect to a Fuzzy Measure (FM) which captures the worth of both the individual sources and all their possible combinations.... Read More about Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms.

Deepening Visitor Engagement with Museum Exhibits through Hand-crafted Visual Markers (2018)
Conference Proceeding
Ali, S., Koleva, B., Bedwell, B., & Benford, S. (2018). Deepening Visitor Engagement with Museum Exhibits through Hand-crafted Visual Markers. In Proceedings of the 2018 on Designing Interactive Systems Conference 2018 - DIS '18 (523-534). https://doi.org/10.1145/3196709.3196786

Visual markers, in particular QR codes, have become widely adopted in museums to enable low cost interactive applications. However, visitors often do not engage with them. In this paper we explore the application of visual makers that can be designed... Read More about Deepening Visitor Engagement with Museum Exhibits through Hand-crafted Visual Markers.

An assessment of the precise products on static Precise Point Positioning using Multi-Constellation GNSS (2018)
Conference Proceeding
Mohammed, J., Moore, T., Hill, C., & Bingley, R. (in press). An assessment of the precise products on static Precise Point Positioning using Multi-Constellation GNSS.

Precise point positioning (PPP) is highly dependent on the precise ephemerides and satellite clock products that are used. Different ephemeris and clock products are available from a variety of different organizations. The aim of this paper is to ass... Read More about An assessment of the precise products on static Precise Point Positioning using Multi-Constellation GNSS.

Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features (2018)
Conference Proceeding
Song, S., Shen, L., & Valstar, M. (2018). Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features. In Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition: FG2018: 15-19 May 2018 Xi'an, China (158-165). https://doi.org/10.1109/FG.2018.00032

Depression is a serious mental disorder that affects millions of people all over the world. Traditional clinical diagnosis methods are subjective, complicated and need extensive participation of experts. Audio-visual automatic depression analysis sys... Read More about Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features.

A smart phone based multi-floor indoor positioning system for occupancy detection (2018)
Conference Proceeding
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (in press). A smart phone based multi-floor indoor positioning system for occupancy detection.

At present there is a lot of research being done simulating building environment with artificial agents and predicting energy usage and other building performance related factors that helps to promote understanding of more sustainable buildings. To u... Read More about A smart phone based multi-floor indoor positioning system for occupancy detection.

A tripartite filter design for seamless pedestrian navigation using recursive 2-means clustering and Tukey update (2018)
Conference Proceeding
Peltola, P., Xiao, J., Hill, C., Moore, T., Seco, F., & Jiménez, A. R. (in press). A tripartite filter design for seamless pedestrian navigation using recursive 2-means clustering and Tukey update.

Mobile devices are desired to guide users seamlessly to diverse destinations indoors and outdoors. The positioning fixing subsystems often provide poor quality measurements with gaps in an urban environment. No single position fixing technology works... Read More about A tripartite filter design for seamless pedestrian navigation using recursive 2-means clustering and Tukey update.

GNSS-based Location Determination System Architecture for railway performance assessment in presence of local effects (2018)
Conference Proceeding
Stallo, C., Neri, A., Salvatori, P., Coluccia, A., Capua, R., Olivieri, G., …Rispoli, F. (in press). GNSS-based Location Determination System Architecture for railway performance assessment in presence of local effects.

GNSS plays a strategic role on the introduction of the Virtual Balise functionality and the train integrity. Thanks to GNSS, it could be possible to realize cost effective solutions to increase the safety in the regional lines, where the traffic dens... Read More about GNSS-based Location Determination System Architecture for railway performance assessment in presence of local effects.

Multi-Frequency Precise Point Positioning using GPS and Galileo data with smoothed ionospheric corrections (2018)
Conference Proceeding
Basile, F., Moore, T., Hill, C., McGraw, G., & Johnson, A. (in press). Multi-Frequency Precise Point Positioning using GPS and Galileo data with smoothed ionospheric corrections.

The poor signal visibility and continuity associated with urban environments together with the slow convergence/reconvergence time of Precise Point Positioning (PPP), usually makes PPP unsuitable for land navigation in cities. However, results based... Read More about Multi-Frequency Precise Point Positioning using GPS and Galileo data with smoothed ionospheric corrections.

Incentive-compatible mechanisms for norm monitoring in open multi-agent systems (2018)
Journal Article
Alechina, N., Halpern, J. Y., Kash, I. A., & Logan, B. (2018). Incentive-compatible mechanisms for norm monitoring in open multi-agent systems. Journal of Artificial Intelligence Research, 62, https://doi.org/10.1613/jair.1.11214

We consider the problem of detecting norm violations in open multi-agent systems (MAS).We show how, using ideas from scrip systems, we can design mechanisms where the agents comprising the MAS are incentivised to monitor the actions of other agents f... Read More about Incentive-compatible mechanisms for norm monitoring in open multi-agent systems.

The problem of DMI adoption and longevity: envisioning a NIME performance pedagogy (2018)
Conference Proceeding
Marquez-Borbon, A., & Martinez Avila, J. P. (2018). The problem of DMI adoption and longevity: envisioning a NIME performance pedagogy. In Proceedings of the International Conference on New Interfaces for Musical Expression. , (190-195)

This paper addresses the prevailing longevity problem of digital musical instruments (DMIs) in NIME research and design by proposing a holistic system design approach. Despite recent efforts to examine the main contributing factors of DMI falling int... Read More about The problem of DMI adoption and longevity: envisioning a NIME performance pedagogy.

A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces (2018)
Conference Proceeding
Chamberlain, A., Bødker, M., De Roure, D., Willcox, P., Emsley, I., & Malizia, A. (2018). A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces. In M. Kurosu (Ed.), Human-Computer Interaction. Theories, Methods, and Human Issues (24-34). https://doi.org/10.1007/978-3-319-91238-7_3

© Springer International Publishing AG, part of Springer Nature 2018. This short paper presents the initial research insights of an ongoing research project that focuses upon understanding the role of landscape, its use as a resource for designing in... Read More about A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces.

Sounding Out Ethnography and Design: Developing Metadata Frameworks for Designing Personal Heritage Soundscapes (2018)
Journal Article
Chamberlain, A., Bødker, M., & Papangelis, K. (2018). Sounding Out Ethnography and Design: Developing Metadata Frameworks for Designing Personal Heritage Soundscapes. Journal of the Audio Engineering Society, 66(6), 468-477. https://doi.org/10.17743/jaes.2018.0025

© 2018 Audio Engineering Society. All rights reserved. The paper presents reflections on understanding the issues of designing locative sonic memory-scapes. As physical space and digital media become ever more intertwined, together forming and augmen... Read More about Sounding Out Ethnography and Design: Developing Metadata Frameworks for Designing Personal Heritage Soundscapes.