串口通信所要求的实时数据读取及储存占用了大量的系统资源。

Real -time data reading and storage which are required in serial communication occupy a large amount of system resources.

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在采用SVM算法的文本分类中，由于文本所表征的向量空间维数通常非常巨大，因此在训练过程中将耗费大量的系统资源。

For text classification based on SVM learning algorithm, usually there is an abundance of training data, which will cost a lot of computing resources in training process.

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由于通信消耗了上位微机大量的系统资源 ，这就影响了其他程序的正常运行 ，甚至可能进一步造成整个监控系统的瓶颈效应。

During communicating courses, many of the host computer's system resources are wasted. This is harmful to other programs, and even could be a chock point of the system.

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