Parallelization of the Kalman filter algorithm, with emphasis on the specific demands of multicore architecture implementation, is investigated.
With the help of a new communication model the parallel efficiency of our implementation is investigated and analyzed in a detailed and structured performance analysis.
The inter- and intra-connectedness between these four components (awareness, motivation, pathway and reward), and a list of success factors of and barriers to implementation are investigated.
The effect of model parameter variation on control performance is discussed, and its impact on the controller implementation is investigated with a view to determining the most suitable parameters for online adaptation.
First the main causes of pedestrian fatalities and the safety effects of road measures (traffic lights, roundabouts and refuge islands) at pedestrian crossings before and after implementation were investigated.
The problem of predicting the average effect of a new training program using experiences with previous implementations was investigated.
The impact of caller gender, patient versus carer status, length of call and operator on DT implementation and caller response was investigated using chi-square analyses and Mann-Whitney U-tests.
In this study, bus rollover was investigated the implementation of adequate material models for accurate treatment.
The influence of parameters such as adsorption capacity, initial concentration and TiO2 implementation (coated or in suspension) was investigated.
When the evaluation data was investigated within the implementation of the program at sites failing to achieve these results, it was the systemic factors that prevented effective implementation.
