在分析高级随机包标记算法(AMS)的基础上，提出了一种基于反向确认的攻击源追踪模型，该模型不再需要AMS过强的假设前提。
On the basis of analysis about advanced marking scheme (AMS), a reverse-validation IP traceback scheme is proposed, which no longer requires the too strong assumption of AMS.
结论在生长迅速的小猪模型上，尿硫测定这一无同位素标记、无创的方法可以精确反映含硫氨基酸的分解代谢情况。
Conclusions Detection of urinary sulfur, as a non-tracer and noninvasive method, may be employed to accurately measure the catabolism of sulfur amino acid in the growing piglet model.
在此基础上，本文建立了一个用于指导教学资源专用标记语言生成的结构模型。
On the basis of the above, the paper builds a structure model to instruct the production of the special education resources mark-up language.
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