实验结果表明，该算法能够满足事件驱动分簇的要求，能量消耗比经典算法更均衡。

Experimental results show that the algorithm can require the demands of the event driven clustering, it consumes balanced energy compared with traditional algorithms.

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论文的主要研究内容包括：从事件驱动的思想出发，建立了基于目标矢量的姿态定向结构化算法。

The main contents of this dissertation are as follows. A structurized attitude pointing algorithm based on target vectors, was constructed in an event-driven manner.

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实验结果显示，本算法的效率比使用SAX事件驱动的方法有明显的提高。

Experiment results show that, the efficiency is distinctly improved compared with using the method of SAX event driven.

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