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The performance of the operators is monitored, and offending operators have financial penalties imposed upon them.
Experimental results using a well-known testbed are provided to illustrate the performance of the operators and hence the effectiveness of the proposal.
However, in the next section, computational performance of the operators will be evaluated to reach a more rigid conclusion.
The individual influence of the text/background color, viewing distance and character size on the readability performance of the operators of computers have been optimized using Taguchi method.
Thus, it is clear that if the above mentioned factors are combined together at the appropriate level, the readability task performance of the operators will improve and the reading time may be reduced.
Results of readability performance (in number of words read per minute) experiments are analyzed by the signal-to-noise (S/N) ratio and analysis of variance (ANOVA), optimal operating parameters and their levels were determined to maximize the readability performance of the operators without error in a human computer interaction kind of working environment.
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However, these systems fail to generate information on the performance of the operator in the system.
Besides the classification of work cycles, the method also generates performance indicators to analyze the performance of the operator in the system.
The performance of the operator is tested with both synthetic and real images and the results are compared with other major corner detectors.
The acquired data is used to verify if the weather conditions, apt for the application of pesticide, were fulfilled, along with checking the variability of the rate, occurrence of row skipping, and indices of performance of the operator.
The performance of the operator is translated to two metrics – margin-of-failure and available-time to respond to process events – which can be calculated using process operations data that can be generated from training simulator based studies.
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