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.
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.
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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