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All Outputs (191)

Developing agent-based simulation models for social systems engineering studies: A novel framework and its application to modelling peacebuilding activities (2016)
Book Chapter
Siebers, P.-O., Figueredo, G. P., Hirono, M., & Skatova, A. (2016). Developing agent-based simulation models for social systems engineering studies: A novel framework and its application to modelling peacebuilding activities. In C. Garcia-Diaz, & C. Olaya (Eds.), Social systems engineering: the design of complexity (133-156). Wiley. https://doi.org/10.1002/9781118974414.ch7

© 2018 John Wiley & Sons Ltd. When looking for a ‘what-if’ analysis tool to support social systems engineering studies, agent-based modelling and simulation should be the method of choice. It is a well-established method for studying human-centric... Read More about Developing agent-based simulation models for social systems engineering studies: A novel framework and its application to modelling peacebuilding activities.

Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA) (2016)
Book Chapter
Nor Abdul Rahim, S. K., Bargiela, A., & Qu, R. (2016). Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA). In Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015): bridging research endeavo. Springer Singapore. https://doi.org/10.1007/978-981-10-2772-7_8

Amongst the wide-ranging areas of the timetabling problems, educational timetabling was reported as one of the most studied and researched areas in the timetabling literature. In this paper, our focus is the university examination timetabling. Despit... Read More about Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA).

Cancer subtype identification pipeline: a classifusion approach (2016)
Presentation / Conference Contribution
Agrawal, U., Soria, D., & Wagner, C. (2016). Cancer subtype identification pipeline: a classifusion approach.

Classification of cancer patients into treatment groups is essential for appropriate diagnosis to increase survival. Previously, a series of papers, largely published in the breast cancer domain have leveraged Computational Intelligence (CI) developm... Read More about Cancer subtype identification pipeline: a classifusion approach.

Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop (2016)
Presentation / Conference Contribution
North, S. (2016). Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop.

My big themes in this paper are: (i) ‘poetical science’: amalgamating quantitative and qualitative methods into a new hybrid approach for ACI and (ii) identifying ‘honest’ routes to user-centred design for ‘unaware’ interactors (be they neurodiverse... Read More about Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop.

Ask Alice: an artificial retrieval of information agent (2016)
Presentation / Conference Contribution
Valstar, M. F., Baur, T., Cafaro, A., Ghitulescu, A., Potard, B., Wagner, J., …Waterschoot, J. V. (2016). Ask Alice: an artificial retrieval of information agent.

We present a demonstration of the ARIA framework, a modular approach for rapid development of virtual humans for information retrieval that have linguistic, emotional, and social skills and a strong personality. We demonstrate the framework’s capabil... Read More about Ask Alice: an artificial retrieval of information agent.

Valorising the IoT Databox: creating value for everyone (2016)
Journal Article
Perera, C., Wakenshaw, S. Y., Baarslag, T., Haddadi, H., Bandara, A. K., Mortier, R., …Crowcroft, J. (2017). Valorising the IoT Databox: creating value for everyone. Transactions on Emerging Telecommunications Technologies, 28(1), Article e3125. https://doi.org/10.1002/ett.3125

The Internet of Things is expected to generate large amounts of heterogeneous data from diverse sources including physical sensors, user devices and social media platforms. Over the last few years, significant attention has been focused on personal d... Read More about Valorising the IoT Databox: creating value for everyone.

Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study (2016)
Presentation / Conference Contribution
Marchal, P. C., Wagner, C., Gámez, J. G., & Gómez, J. O. (in press). Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study.

Decision support systems (DSSs) are a convenient tool to aid plant operators in the selection of process set points. Inputs to these systems for variables that are not easily measured online often come from assessments made by experts, with an associ... Read More about Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study.

Mobile collocated interactions with wearables: past, present, and future (2016)
Journal Article
Lucero, A., Clawson, J., Fischer, J. E., & Robinson, S. (2016). Mobile collocated interactions with wearables: past, present, and future. mUX: The Journal of Mobile User Experience, 5(6), https://doi.org/10.1186/s13678-016-0008-x

This Special Issue focuses on the emerging use of wearable technologies for mobile collocated interactions. Rather than merely listing off the articles that follow, we wish to introduce this Special Issue by discussing the past, present, and future o... Read More about Mobile collocated interactions with wearables: past, present, and future.

A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers (2016)
Presentation / Conference Contribution
Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., & Garibaldi, J. M. (in press). A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers.

Fuzzy logic controllers (FLCs) have extensively been used for the autonomous control and guidance of unmanned aerial vehicles (UAVs) due to their capability of handling uncertainties and delivering adequate control without the need for a precise, mat... Read More about A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers.

Integration of an ARAIM algorithm in the development of an instrument approach procedure and for pre-flight operational briefing (2016)
Presentation / Conference Contribution
Paternostro, S., Moore, T., Hill, C., Atkin, J., de Maere, G., & Morvan, H. (2016, November). Integration of an ARAIM algorithm in the development of an instrument approach procedure and for pre-flight operational briefing. Paper presented at International Navigation Conference of the Royal Institute of Navigation (INC 16), Glasgow, UK

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) offers the opportunity to enable Global Navigation Satellite System (GNSS) receivers to serve as a primary means of navigation, worldwide, for precision approach down to Localizer Performance... Read More about Integration of an ARAIM algorithm in the development of an instrument approach procedure and for pre-flight operational briefing.

Palimpsest: improving assisted curation of loco-specific literature (2016)
Journal Article
Alex, B., Grover, C., Oberlander, J., Thomson, T., Anderson, M., Loxley, J., …Zhou, K. (2017). Palimpsest: improving assisted curation of loco-specific literature. Digital Scholarship in the Humanities, 32(Supp 1), Article i4-i16. https://doi.org/10.1093/llc/fqw050

Text mining and information visualization techniques applied to large-scale historical and literary document collections have enabled new types of humanities research. The assumption behind such efforts is often that trends will emerge from the analy... Read More about Palimpsest: improving assisted curation of loco-specific literature.

Evaluating a natural horsemanship program in relation to the ISES first principles of horse training (2016)
Journal Article
North, S., Hemingway, A., McLean, A. N., Laurie, H., & Ellis-Hill, C. (in press). Evaluating a natural horsemanship program in relation to the ISES first principles of horse training. Journal of Veterinary Behavior: Clinical Applications and Research, 15, https://doi.org/10.1016/j.jveb.2016.08.040

This is the journal version of the abstract previously published in the proceedings of The 12th International Society for Equitation Science Conference (ISES2016)as:
Steve North, Ann Hemingway, Andrew N. McLean, Harriet Laurie, and Caroline Ellis-Hi... Read More about Evaluating a natural horsemanship program in relation to the ISES first principles of horse training.

Frequency domain subpixel registration using HOG phase correlation (2016)
Journal Article
Argyriou, V., & Tzimiropoulos, G. (in press). Frequency domain subpixel registration using HOG phase correlation. Computer Vision and Image Understanding, https://doi.org/10.1016/j.cviu.2016.10.019

We present a novel frequency-domain image registration technique, which employs histograms of oriented gradients providing subpixel estimates. Our method involves image filtering using dense Histogram of Oriented Gradients (HOG), which provides an ad... Read More about Frequency domain subpixel registration using HOG phase correlation.

Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach (2016)
Journal Article
Chen, J., Weiszer, M., Locatelli, G., Ravizza, S., Atkin, J. A., Stewart, P., & Burke, E. (2016). Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach. IEEE Transactions on Intelligent Transportation Systems, 17(12), 3524-3540. https://doi.org/10.1109/TITS.2016.2587619

Based on the multi-objective optimal speed profile generation framework for unimpeded taxiing aircraft presented in the precursor paper, this paper deals with how to seamlessly integrate such optimal speed profiles into a holistic decision making fra... Read More about Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach.

Systematic search for local-search SAT heuristics (2016)
Presentation / Conference Contribution
Burnett, A. W., & Parkes, A. J. (2016). Systematic search for local-search SAT heuristics.

Heuristics for local-search are a commonly used method of improving the performance of algorithms that solve hard computational problems. Generally these are written by human experts, however a long-standing research goal has been to automate the con... Read More about Systematic search for local-search SAT heuristics.

Decomposition techniques with mixed integer programming and heuristics for home healthcare planning (2016)
Journal Article
Laesanklang, W., & Landa-Silva, D. (2017). Decomposition techniques with mixed integer programming and heuristics for home healthcare planning. Annals of Operations Research, 256(1), 93-127. https://doi.org/10.1007/s10479-016-2352-8

We tackle home healthcare planning scenarios in the UK using decomposition methods that incorporate mixed integer programming solvers and heuristics. Home healthcare planning is a difficult problem that integrates aspects from scheduling and routing.... Read More about Decomposition techniques with mixed integer programming and heuristics for home healthcare planning.

Screwbots (2016)
Journal Article
Malizia, A., & Chamberlain, A. (2016). Screwbots. Ubiquity, 2016(October), 1-6. https://doi.org/10.1145/3005397

Have you ever thought of lying to your smartphone to protect your privacy? Everyday we face a dilemma about privacy: We take advantage of apps that are able to use our location or data to provide smart services at the expense of privacy (we all know... Read More about Screwbots.

On Using Genetic Algorithm for Initialising Semi-supervised Fuzzy c-Means Clustering (2016)
Journal Article
Lai, D. T. C., & Garibaldi, J. M. (2017). On Using Genetic Algorithm for Initialising Semi-supervised Fuzzy c-Means Clustering. Advances in Intelligent Systems and Computing, 532, 3-14. https://doi.org/10.1007/978-3-319-48517-1_1

In a previous work, suitable initialisation techniques were incorporated with semi-supervised Fuzzy c-Means clustering (ssFCM) to improve clustering results on a trial and error basis. In this work, we present a single fully-automatic version of an e... Read More about On Using Genetic Algorithm for Initialising Semi-supervised Fuzzy c-Means Clustering.

GeoTracks: adaptive music for everyday journeys (2016)
Presentation / Conference Contribution
Greenhalgh, C., Hazzard, A., McGrath, S., & Benford, S. (2016). GeoTracks: adaptive music for everyday journeys. In MM '16 Proceedings of the 2016 ACM on Multimedia Conference (42-46). https://doi.org/10.1145/2964284.2967181

Listening to music on the move is an everyday activity for many people. This paper proposes geotracks and geolists, music tracks and playlists of existing music that are aligned and adapted to specific journeys. We describe how everyday walking journ... Read More about GeoTracks: adaptive music for everyday journeys.