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Outputs (2141)

Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot
Journal Article
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot. Applied Soft Computing, 10(3), https://doi.org/10.1016/j.asoc.2009.10.005

A combined short-term learning (STL) and long-term learning (LTL) approach to solving mobile-robot
navigation problems is presented and tested in both the real and virtual domains. The LTL phase consists
of rapid simulations that use a genetic algo... Read More about Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot.

System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire
Book Chapter
Figueredo, G. P., Aickelin, U., & Whitbrook, A. System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire. In Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK. Intelligent Modelling & Analysis (IMA)

The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immuno-degradation that indicate signs of functionality loss possibly leading to death. Even though it is not po... Read More about System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire.

PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm
Presentation / Conference Contribution
Gu, F., Greensmith, J., Oates, R., & Aickelin, U. PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm. Presented at 9th Annual Workshop on Computational Intelligence (UKCI 2009)

As one of the newest members in the field of articial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is
based on behavioural models of natural dendritic cells (DCs). Unlike other AIS, the DCA does not rely on training data, instead domain... Read More about PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm.

Modelling and analysing cargo screening processes: a project outline
Presentation / Conference Contribution
Siebers, P.-O., Aickelin, U., Menachof, D., & Sherman, G. Modelling and analysing cargo screening processes: a project outline. Presented at 2009 INFORMS Simulation Society Research Workshop: Simulation: At the Interface of Modeling and Analysis

The efficiency of current cargo screening processes at sea
and air ports is unknown as no benchmarks exists against which they could be measured. Some manufacturer benchmarks exist for individual sensors but we have not found any benchmarks that tak... Read More about Modelling and analysing cargo screening processes: a project outline.

Development of a cargo screening process simulator: a first approach
Presentation / Conference Contribution
Siebers, P.-O., Sherman, G., & Aickelin, U. Development of a cargo screening process simulator: a first approach. Presented at 6th International Mediterranean Modeling Multiconference (EMSS 2009)

The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that ta... Read More about Development of a cargo screening process simulator: a first approach.

Optimisation of a crossdocking distribution centre simulation model
Book Chapter
Adewunmi, A., & Aickelin, U. Optimisation of a crossdocking distribution centre simulation model. In Proceedings of the 2008 International Simulation Multi-conference. The Society For Modeling and Simulation International (SCS)

This paper reports on continuing research into the
modelling of an order picking process within a
Crossdocking distribution centre using Simulation
Optimisation. The aim of this project is to optimise a
discrete event simulation model and to unde... Read More about Optimisation of a crossdocking distribution centre simulation model.

ToLeRating UR-STD
Presentation / Conference Contribution
Feyereisl, J., & Aickelin, U. ToLeRating UR-STD. Presented at 2nd International Conference on Emerging Security Information, Systems and Technologies

A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approach to anomaly detection is presented. Our approach is based on a simple y... Read More about ToLeRating UR-STD.

The deterministic Dendritic Cell Algorithm
Presentation / Conference Contribution
Greensmith, J., & Aickelin, U. The deterministic Dendritic Cell Algorithm. Presented at 7th International Conference on Artificial Immune Systems (ICARIS2008)

The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on the function of natural dendritic cells. The original instantiation of the algorithm is a highly stochastic algorithm. While the performance of the algorithm is good whe... Read More about The deterministic Dendritic Cell Algorithm.

The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms
Journal Article
Greensmith, J., Feyereisl, J., & Aickelin, U. The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms. Evolutionary Intelligence, 1(2), https://doi.org/10.1007/s12065-008-0008-6

The dendritic cell algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation which results in a ‘context aware’ detection system. Previous applicat... Read More about The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms.