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—Computationally demanding applications can benefit from distributed processing. Distributed processing offers immerse computational power from collections of autonomous systems which can provide up to thousands of processing cores. Over the years, a considerable amount of research has been put towards developing performance prediction models for(More)
—Thinning plays a very important role in the prepro-cessing phase of automatic fingerprint recognition/identification systems. The performance of minutiae extraction relies heavily on the quality of skeletons used. A good fingerprint thinning algorithm can depress image noise and promote the robustness of the minutiae extraction algorithm which helps(More)
  • Mcdonald Bc, E Dube, Bezuidenhout Cn
  • 2008
Transport logistics systems typically evolve as networks over time, which may result in system rigidity and cause changes to become expensive and time consuming. In this study a logistics model, named TranSwarm, was developed to simulate sugarcane harvesting, transport and mill-yard activities for a mill supply area. The aim was to (i) simulate produce(More)
—Distributed processing offers a way of successfully dealing with computationally demanding applications such as scientific problems. Over the years, researchers have investigated ways to predict the performance of parallel algorithms. Amdahl's law states that the speedup of any parallel program has an upper bound which is determined by the amount of time(More)
The problem addressed in this paper is that of orthogonally packing a given set of rectangular-shaped items into a minimum number of three-dimensional rectangular bins. We harness the computing power of the modern day computers to solve this NP-Hard problem that would be otherwise practically extremely difficult. The software tool that we develop using both(More)
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