Study of the baking of biscuits involves among other aspects detailed analysis of colour changes in the product during the process. Previous study has shown the existence of a colour development curve (known as the baking curve) by examining colour development in the RGB and HSI colour spaces. In the current work a diierent approach to extracting the baking curve is presented. Using a Kohonen s...

In this study, principal component analysis (PCA) and a self-organising map (SOM) were used to analyse a complex dataset obtained from the river water monitoring stations in the Tolo Harbor and Channel Water Control Zone (Hong Kong), covering the period of 2009-2011. PCA was initially applied to identify the principal components (PCs) among the nonlinear and complex surface water quality parame...

In machine learning, a key aspect is the acquisition of knowledge. As problems become more complex, and experts become scarce, the manual extraction of knowledge becomes very difficult. Hence, it is important that the task of knowledge acquisition be automated. This paper proposes a novel method that integrates neural network and expert system paradigms to produce an automated knowledge acquisi...

Self-Organising Maps have been used for a wide range of clustering applications. They are wellsuited for various visualisation techniques to offer better insight into the clusterings. A particularly feasible visualisation is the plotting of single components of a data set and their distribution across the SOM. One central problem of the visualisation of Component Planes is that a single plot is...

Network intrusion detection is the problem of detecting unauthorised use of, or access to, computer systems over a network. Two broad approaches exist to tackle this problem: anomaly detection and misuse detection. An anomaly detection system is trained only on examples of normal connections, and thus has the potential to detect novel attacks. However, many anomaly detection systems simply repo...

In this paper, we propose an extended self-organising learning scheme, in which both distance measure and neighbourhood function have been replaced by the neuron's posterior probabilities. Updating of weights is within a limited but fixed sized neighbourhood of the winner. Each unit will converge to one component of a mixture distribution of input samples, so that an optimal pattern classifier ...

Wearable sensors provide a means of continuously monitoring a person in a natural setting. These sensors can “look in” by monitoring the wearer’s health through physiological measurements and also by detecting their activities. Other sensors can be used to “look out” from the wearer into the environment through which he/she is moving, which may serve to detect any potential hazards or provide c...

This paper describes the organising of a 50 anniversary of an urban community. The focus is specifically on how ideas of identity related to a past were manifested in various events. The organising of the anniversary is described in terms of temporary organising, where the activities of different actors form the basis for how the anniversary is conceptualised and performed. The study was conduc...

This study investigated the whole-body coordination patterning in successful and faulty spikes using self-organising map-based cluster analysis. Ten young, elite volleyball players (aged 15.5 ± 0.7 years) performed 60 a real-game environment. Adopting analysis, based on map, was explored between of individual players. The maps (SOMs) portrayed whole body, lower upper limb dissimilarities during...