Power system stability analysis is extremely complex due to its multi time scale nature, high dimensionality and non linearity.
电力系统是一个多时间尺度的大规模非线性系统，其稳定性分析非常复杂。
But for a multi time scale power system, existence and fundamental characteristics of fast manifolds must also be studied in order to obtain the model reduction condition of fixing slow dynamics.
但对于多时间尺度的电力系统模型降阶问题而言，还必须研究快流形的存在性及其基本特征，以给出固定系统慢动态的降阶条件。
This nicely supports potential multi-platform requirements, and also provide a way to scale or evolve the infrastructure over time.
这就很好地支持了可能的多平台的需求，同时也提供了一种方法使得基础架构能够随着时间的推移扩展规模，或者进行演化。
Therefore, multi-scale mechanics is introduced to study the phenomena that couple various length and time scales.
由此引入多尺度力学，即研究各种不同长度尺度和时间尺度相互耦合现象的科学。
Computation result shows that a series of dynamic multi-images in nanosecond time scale of ultra-fast process can be automatically recorded on a piece of digital hologram.
计算分析表明，该光路可在一帧数字全息图上连续记录间隔为纳秒量级的多幅超快过程的动态图像。
As to the time variation, non-linearity and long range dependence in VBR video traffic trace, a novel method of feature based on multi-scale decomposition was proposed.
针对其时变、非线性以及长相关性等特点，提出一种多尺度分解的VBR视频业务的特征提取方法。
Moreover, to ensure more generalizable results, the time of the follow-up observation should be prolonged, and studies of large-scale samples with multi-variables should be conducted.
应尽可能延长追踪观察的时间，并进行大样本多变量研究，以保证研究结果的普遍性。
Is it possible to develop multi-scale methods (both in time and space) to predict the properties of matter?
通过多种尺度方法(在时间和空间尺度上)来预测物质的性质是否可能？
Power system stability analysis is extremely complex due to its multi-time scale nature, high dimensionality and non-linearity.
由于电力系统是一个多时间尺度的高阶非线性系统，其稳定性分析就变得异常复杂。
The results show that the correlations between E1 Nino and the temperature and precipitation in Heilongjiang Province have multi-time scale characteristics;
结果表明，厄尔尼诺事件与黑龙江省气温和降水之间的相关具有多时间尺度的特征；
The results show that the correlations between E1 Nino and the temperature and precipitation in Heilongjiang Province have multi-time scale characteristics;
结果表明，厄尔尼诺事件与黑龙江省气温和降水之间的相关具有多时间尺度的特征；
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