Subspace learning is the process of finding a proper feature subspace and then projecting high-dimensional data onto the learned low-dimensional subspace. The projection operation requires many floating-point multiplications ...

Biologically realistic computer simulation of vertebrate locomotion is an interesting and challenging problem with applications in computer graphics and robotics. One current approach simulates a relatively simple ...

Rapid social change has seen increasing numbers of woman-headed singleparent families, meaning that more and more children are growing up without a father resident in the home. Father absence is a term that is not well ...

Long duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in ...

To date, no study has investigated different phases of fatigue (transitional: early, transitional to post-transitional: medium and post-transitional: extreme) between professional and non-professional drivers. Therefore, ...

Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an ...

In this paper we develop a new method to model occurred faults in different parts of nonlinear systems. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) we build a model for faultless plant which is used in the ...

Clustering has been used as an effective approach to saving energy and providing better scalability for Wireless Sensor Networks (WSN). Most of the existing methods for clustering use a star-based topology while the newly ...

This paper summarises work in progress and reports on preliminary results on fault-service modelling. A clustering of faults is used to model real faults logged by a cellular communications company through its operations ...