非局部的
- 与 非局部的 相关的网络例句 [注:此内容来源于网络,仅供参考]
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The internal stress and defects decrease with the increase of heat treatment temperature and this makes magnetic domains wider and more orderly but the carbides containing Ti precipitate along the grain boundaries which cause local components and structure heterogeneousness in these areas .
热处理温度越高,组织内应力和缺陷的减少使得磁畴的排列越来越整齐,磁畴宽度也越大,但晶界附近少量含Ti碳化物析出,导致局部成分和结构的非均匀化,不仅使得该区域磁畴细化,而且阻碍了畴界的移动,从而影响了阻尼性能的提高。
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Based on the segmented unstructured model of Nosiheptide fermentation process, the secondary variables are selected according to the implicit function existence theorem. The on-line identification of fermentation phases is accomplished by using an indicator variable which is gained by mathematical inference, and for each phase, a local soft sensor model is developed.
首先以分阶段的诺西肽发酵过程非结构模型为基础,根据隐函数存在定理进行辅助变量的合理选择;然后利用经数学推导得到的指示变量"伪比生长率"完成发酵阶段的在线辨识,并采用神经网络构建出对应于各阶段的局部软测量模型。
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Under the Lipschitz conditions,using Morrey space and Campanatospace methods and filling-hole technique to clear off the difficulty,whicharoused by that monotonic inequalities are no longer true and blow-uptechnique are very difficult to be used again,we obtain that the weaksolutions or the very weak solutions to systems(3)are locally Holdercontinuous.
对方程组(3),我们增加了Lipschitz条件,利用Morrey空间法和Campanato空间法和补洞技巧等来克服非齐次项带来的,单调不等式不再成立和Blow-up技巧难于适用的困难,得出了方程组(3)在一定的条件下的很弱解和弱解是局部〓连续的。
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In this paper,the author give the spectra characterizations of nonsigular feedback polynomials and local permutation polynomial s over finite fields and residue class rings,and simplify existing results over prime fields,and provide a new proof method for the spectra characterization of correlation immune functions over finite fields and residue class rings.
本文给出了有限域和剩余类环上非线性反馈移存器的非奇异反馈多项式及局部置换多项式的谱刻划,简化了素域上的现有结果,并对有限域上和剩余类环上相关免疫函数的谱特征给出了一个新的证明方法。
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From the point of view of the dynamic process ofmagneto-thermal interaction, the ambient temperature and sweep rate of the externalmagnetic-field are taken into account to develop the theoretical models of the effect ofdistribution of non-uniform critical-current density on flux jumps by solvingpredicting equations for predicting the first flux-jump field.
本文采用局部绝热假定从磁热相互作用的角度考虑临界电流密度非均匀分布效应对磁通跳跃和交流损耗的影响并对高温超导薄膜的磁场和电流密度的分布及其损耗情况进行了深入研究,得到了一些有意义的结果。
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First, a non-negative tensor factorization algorithm is improved by imposing sparseness constraints on it. Secondly, the bispectral images of mechanical signals are obtained and stacked to form a third-order tensor. Thirdly, the improved algorithm is used to extract features, which are represented by a series of basis images from this tensor. Finally, coefficients indicating these basis images' weights in constituting original bispectral images are calculated for fault classification.
首先,改进已有的非负张量分解算法,加入稀疏度控制策略;其次,将机械振动信号的双谱图像堆叠为一个三阶张量;然后利用改进后的分解算法对该张量进行二次故障特征提取,得到代表局部特征的"基图像";最后,通过计算得出基图像在构成原双谱图像中所占的权重,并将得到的权重向量用于故障分类。
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The results show that local exposure affects not only thermal sensations of the exposed body and the whole body, but also thermal sensations of the unexposed body parts.
结果表明,局部热暴露在改变暴露部位和全身的热感觉的同时,也显著改变了非暴露部位的热感觉,据此提出了基于影响因子的分析方法和全身热感觉的预测模型。
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Acorrding to the character that wavelet transform technique can localize thetime-domain and frequency-domain, it can focalize any detail of signals and can recognize theabrupt signal and nostationary signal. The characteristics of typical fault for the centrifugalcompressor rotor are extracted by wavelet transform, and the characteristics vector is foundedby using energy as element.
通过小波变换技术对时域和频域同时具有良好的局部化性质,可以聚焦到信号的任意细节,对突变信号和非平稳信号具有很强的识别能力,利用小波包变换对离心压缩机转子典型故障的振动信号进行特征提取,并以&能量&为元素,构造离心压缩机故障信号的特征向量,以便神经网络识别。
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Then it made denoising and edge detection for the CT image of the brain aiming at the properties and keystoned of CT image. In the process of denosing for CT images of the brain,because it has some characteristics,such as the biomedical signal is a typical non-stationary signal with a strong noise in background,it is more difficult to resolution.
在对脑部CT图像的去噪处理过程中,本文针对生物医学信号是典型的非平稳信号,具有很强的背景噪声,处理起来较困难的特点,引入了一种基于EMD方法的脑部CT图像去噪方法,它可以有效地去除噪声的干扰,充分保留信号的局部特征。
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It has perfect localizable characteristic in both time and frequency domain, the charater istic of instantaneous signal could be well reflected, furthermore, an efficient analysis is to be supplied in diagnose the mechanical fault of non-smooth signals.
小波变换是一种日益获得广泛应用的信号分析方法,它在时域和频域同时具有良好的局部化特性,能够很好地反映瞬态信号的特征,为诊断以非稳态信号为特征的机械故障提供了有效的分析手段。
- 推荐网络例句
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I didn't watch TV last night, because it .
昨晚我没有看电视,因为电视机坏了。
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Since this year, in a lot of villages of Beijing, TV of elevator liquid crystal was removed.
今年以来,在北京的很多小区里,电梯液晶电视被撤了下来。
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I'm running my simile to an extreme.
我比喻得过头了。