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Aiming at the characteristics as time-delay, large inertia of superheated steam temperature in the power plants, an optimal PID controller which takes the overshoot, rise time and setting time of the system as the performance indicators have been proposed. The PID parameters were optimized by the means of the genetic algorithm with real number encoding. Finally, a group of optimal PID parameters were...
This paper presents a new genetic algorithm based method for video summarization. We pick out the least similar images from original video by measuring the differences with the technique of color histograms. Based on this reduced set, fitness function is defined for genetic algorithm to search the optimized frames. Experimental results show that the proposed method can capture more information than...
This paper presents a genetic algorithm based model for soccer video summarization. The model first introduces audio features to improve fitness function which is used to calculate the relative differences among all the selected frames. Then the model employs crossover and mutation operators to get the meaningful summary in a video search space. Experimental results and comparisons are presented to...
Roof stability prediction features randomness, complexity and instability, and precise prediction places much value on theoretical and practical application. In light of the latest research, this paper, according to complicated nonlinear mapping relation between various influence factors and stability of intensity, turns out that the GA-WNN model of roof stability prediction, with optimized wavelet...
In order to make full use of resources in distributed parallel computing system, and reduce general time cost for performing the algorithm, task scheduling and resource management model and low-layer resource supervision-control model are designed and implemented. The unpredictable system behavior is resolved, which is caused by dynamic change resources. The dynamic join-in of resources is allowed...
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