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All Outputs (95)

Personalizing the theme park: psychometric profiling and physiological monitoring (2011)
Book Chapter
Rennick-Egglestone, S., Whitbrook, A., Leygue, C., Greensmith, J., Walker, B., Benford, S., …Rowland, D. (2011). Personalizing the theme park: psychometric profiling and physiological monitoring. In J. A. Konstan, R. Conejo, J. L. Marzo, & N. Oliver (Eds.), User modeling, adaption, and personalization: 19th international conference, UMAP 2011, Girona, Spain, July 11-15, 2011: proceedings. Springer. https://doi.org/10.1007/978-3-642-22362-4_24

Theme parks are important and complex forms of entertainment, with a broad user-base, and with a substantial economic impact. In this paper, we present a case study of an existing theme park, and use this to motivate two research challenges in relati... Read More about Personalizing the theme park: psychometric profiling and physiological monitoring.

Motivating mobility: designing for lived motivation in stroke rehabilitation (2011)
Book Chapter
Balaam, M., Rennick Egglestone, S., Fitzpatrick, G., Rodden, T., Hughes, A., Wilkinson, A., …Burridge, J. (2011). Motivating mobility: designing for lived motivation in stroke rehabilitation. In D. Tan, B. Begole, & W. Kellog (Eds.), CHI 2011: conference proceedings and extended abstracts: 29th Annual Conference on Human Factors in Computing Systems, Vancouver, British Columbia, Canada, May 7-12, 2011. ACM Press. https://doi.org/10.1145/1978942.1979397

How to motivate and support behaviour change through design is becoming of increasing interest to the CHI community. In this paper, we present our experiences of building systems that motivate people to engage in upper limb rehabilitation exercise af... Read More about Motivating mobility: designing for lived motivation in stroke rehabilitation.

Non-linear great deluge with reinforcement learning for university course timetabling (2011)
Book Chapter
Obit, J. H., Landa-Silva, D., Sevaux, M., & Ouelhadj, D. (2011). Non-linear great deluge with reinforcement learning for university course timetabling. In M. Caserta, & S. Voss (Eds.), Metaheuristics: intelligent decision making. Springer

This paper describes a non-linear great deluge hyper-heuristic incorporating a reinforcement learning mechanism for the selection of low-level heuristics and a non-linear great deluge acceptance criterion. The proposed hyper-heuristic deals with comp... Read More about Non-linear great deluge with reinforcement learning for university course timetabling.

Analysing the playground: sensitizing concepts to inform systems that promote playful interaction (2011)
Book Chapter
Rennick-Egglestone, S., Walker, B., Marshall, J., Benford, S., & McAuley, D. (2011). Analysing the playground: sensitizing concepts to inform systems that promote playful interaction. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), Human-computer interaction - INTERACT 2011:13th IFIP TC 13 International Conference, Lisbon, Portugal, September 5-9, 2011: proceedings. Lisbon, Portugal: Springer. https://doi.org/10.1007/978-3-642-23774-4

Playful interaction in an important topic in HCI research, and there is an ongoing debate about the fundamental principles that underpin playful systems. This paper makes a contribution to this debate by outlining a set of sensitizing concepts which... Read More about Analysing the playground: sensitizing concepts to inform systems that promote playful interaction.

Simulating the dynamics of T cell subsets throughout the lifetime (2011)
Book Chapter
Foan, S., Jackson, A. M., Spendlove, I., & Aickelin, U. (2011). Simulating the dynamics of T cell subsets throughout the lifetime. In P. Liò, G. Nicosia, & T. Stibor (Eds.), Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedings. Springer

It is widely accepted that the immune system undergoes age-related changes correlating with increased disease in the elderly. T cell subsets have been implicated. The aim of this work is firstly to implement and validate a simulation of T regulatory... Read More about Simulating the dynamics of T cell subsets throughout the lifetime.

Systems dynamics or agent-based modelling for immune simulation? (2011)
Book Chapter
Figueredo, G. P., Aickelin, U., & Siebers, P. (2011). Systems dynamics or agent-based modelling for immune simulation?. In P. Liò, G. Nicosia, & T. Stibor (Eds.), Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedings. Springer

In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guidance on how to choose the best approach for a specific immune problem.... Read More about Systems dynamics or agent-based modelling for immune simulation?.

Hormone transport (2010)
Book Chapter
Kerr, I. D., Carrier, D. J., & Twycross, J. (2010). Hormone transport. In The Plant Plasma Membrane, (379-397). Springer. https://doi.org/10.1007/978-3-642-13431-9_17

Hormone transport in plants is a fundamental process governing all aspects of plant development. Identification and functional analysis of plasma membrane proteins, which regulate the import and export of plant hormones, is a requirement if we are to... Read More about Hormone transport.

Computational study of non-linear great deluge for university course timetabling (2010)
Book Chapter
Obit, J. H., & Landa-Silva, D. (2010). Computational study of non-linear great deluge for university course timetabling. In V. Sgurev, M. Hadjiski, & J. Kacprzyk (Eds.), Intelligent systems: from theory to practice. Springer

The great deluge algorithm explores neighbouring solutions which are accepted if they are better than the best solution so far or if the detriment in quality is no larger than the current water level. In the original great deluge method, the water le... Read More about Computational study of non-linear great deluge for university course timetabling.

Discovering beneficial cooperative structures for the automated construction of heuristics (2010)
Book Chapter
Terrazas, G., Landa-Silva, D., & Krasnogor, N. (2010). Discovering beneficial cooperative structures for the automated construction of heuristics. In Nature inspired cooperative strategies for optimization (NICSO 2010) (89-100). Springer Verlag. https://doi.org/10.1007/978-3-642-12538-6_8

The current research trends on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics. In the latter, the goal is to develop a problem-domain independent strategy to... Read More about Discovering beneficial cooperative structures for the automated construction of heuristics.

Behavioural correlation for detecting P2P bots (2010)
Book Chapter
Al-Hammadi, Y., & Aickelin, U. (2010). Behavioural correlation for detecting P2P bots. In Second International Conference on Future Networks, 2010: ICFN '10. IEEE. https://doi.org/10.1109/ICFN.2010.72

In the past few years, IRC bots, malicious programs which are remotely controlled by the attacker through IRC servers, have become a major threat to the Internet and users. These bots can be used in different malicious ways such as issuing distri... Read More about Behavioural correlation for detecting P2P bots.

An audio CAPTCHA to distinguish humans from computers (2010)
Book Chapter
Haichang, G., Liu, H., Yao, D., Liu, X., & Aickelin, U. (2010). An audio CAPTCHA to distinguish humans from computers. In F. Yu, M. Russell, N. Rubens, & J. Zhang (Eds.), Third International Symposium on Electronic Commerce and Security, ISECS2010: Guangzhou, China, 29-31 July 2010. IEEE Computer Society

CAPTCHAs are employed as a security measure to differentiate human users from bots. A new sound-based CAPTCHA is proposed in this paper, which exploits the gaps between human voice and synthetic voice rather than relays on the auditory perception o... Read More about An audio CAPTCHA to distinguish humans from computers.

STORM - a novel information fusion and cluster interpretation technique (2010)
Book Chapter
Feyereisl, J., & Aickelin, U. (2010). STORM - a novel information fusion and cluster interpretation technique. In E. Corchado, & H. Yin (Eds.), Intelligent data engineering and automated learning -- IDEAL 2009:10th internatio conference, Bourgos, Spain, September 23-26, 2009: proceedings. Springer

Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, useful for better understanding of a problem at hand, than by looking only at the da... Read More about STORM - a novel information fusion and cluster interpretation technique.

Investigating immune system aging: system dynamics and agent-based modeling (2010)
Book Chapter
Figueredo, G. P., & Aickelin, U. (2010). Investigating immune system aging: system dynamics and agent-based modeling. In G. Wainer (Ed.), Summer Computer Simulation Conference (SCSC): 12-14 July, Ottawa, ON, Canada. Society for Modeling and Simulation International

System dynamics and agent based simulation models can both be used to model and understand interactions of entities within a population. Our modeling work presented here is concerned with understanding the suitability of the different types of simul... Read More about Investigating immune system aging: system dynamics and agent-based modeling.

Scenario analysis, decision trees and simulation for cost benefit analysis of the cargo screening process (2010)
Book Chapter
Sherman, G., Siebers, P., Aickelin, U., & Menachof, D. (2010). Scenario analysis, decision trees and simulation for cost benefit analysis of the cargo screening process. In A. G. Bruzzone, L. Landau, G. G. Cunha, & S. Saetta (Eds.), The International Workshop on Applied Modelling and Simulation: WAMS, Buizos, 2010. COPPE/UFRJ

In this paper we present our ideas for conducting a cost benefit analysis by using three different methods: scenario analysis, decision trees and simulation. Then we introduce our case study and examine these methods in a real world situation. We sh... Read More about Scenario analysis, decision trees and simulation for cost benefit analysis of the cargo screening process.

ExoBuilding: breathing Life into architecture (2010)
Book Chapter
Schnädelbach, H., Glover, K., & Irune, A. A. (2010). ExoBuilding: breathing Life into architecture. In E. Þ. Hvannberg, M. K. Lárusdóttir, A. Blandford, & J. Gulliksen (Eds.), NordiCHI 2010: proceedings of the 6th Nordic Conference on Human-Computer Interaction, October 16-20, 2010, Reykjavik, Iceland. Reykjavik, Iceland: ACM Press. https://doi.org/10.1145/1868914.1868965

ExoBuilding explores the novel design space that emerges when an individual‟s physiological data and the fabric of building architecture are linked. In its current form ExoBuilding is a tent-like structure that externalises a person‟s physiological d... Read More about ExoBuilding: breathing Life into architecture.

Defining a simulation strategy for cancer immunocompetence (2010)
Book Chapter
Figueredo, G. P., & Aickelin, U. (2010). Defining a simulation strategy for cancer immunocompetence. In E. Hart, C. McEwan, J. Timmis, & A. Hone (Eds.), Artificial immune systems: 9th international conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010: proceedings. Springer

Although there are various types of cancer treatments, none of these currently take into account the e®ect of ageing of the immune system and hence altered responses to cancer. Recent studies have shown that in vitro stimulation of T cells can help i... Read More about Defining a simulation strategy for cancer immunocompetence.

Artificial immune systems (2010)
Book Chapter
Greensmith, J., Whitbrook, A., & Aickelin, U. (2010). Artificial immune systems. In M. Gendreau, & J. Potvin (Eds.), Handbook of metaheuristics. Springer

The human immune system has numerous properties that make it ripe for exploitation in the computational domain, such as robustness and fault tolerance, and many different algorithms, collectively termed Artificial Immune Systems (AIS), have been ins... Read More about Artificial immune systems.

An improved version of volume dominance for multi-objective optimisation (2009)
Book Chapter
Le, K., Landa-Silva, D., & Li, H. (2009). An improved version of volume dominance for multi-objective optimisation. In Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings, (231-245). Springer Verlag. https://doi.org/10.1007/978-3-642-01020-0_21

This paper proposes an improved version of volume dominance to assign fitness to solutions in Pareto-based multi-objective optimisation. The impact of this revised volume dominance on the performance of multi-objective evolutionary algorithms is inve... Read More about An improved version of volume dominance for multi-objective optimisation.

Evolutionary non-linear great deluge for university course timetabling (2009)
Book Chapter
Landa-Silva, D., & Obit, J. H. (2009). Evolutionary non-linear great deluge for university course timetabling. In Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, (269-276). Springer Verlag. https://doi.org/10.1007/978-3-642-02319-4_32

This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm in which evolutionary operators are incorporated. First, we generate a... Read More about Evolutionary non-linear great deluge for university course timetabling.