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These dimensions are then used to build a Bitmap object with a 24 bits per pixel format for the color data.

这些长度待会被用来建立一个以24 bits 每像素的格式作为颜色数据的Bitmap对象。

Deal bountifully with your servant, that I may live, and keep your word.

求你用厚恩待你的仆人,使我存活,我就遵守你的话。

I will sing to Jehovah, For He has dealt bountifully with me.

13:6 我要向耶和华歌唱,因祂用厚恩待我。

Deal bountifully with thy servant, that I may live, and keep thy word.

119:17 求你用厚恩待你的仆人,使我存活。我就遵守你的话。

Return unto your rest, O my soul; for the LORD has dealt bountifully with you.

007 我的心哪!你要仍归安乐,因为耶和华用厚恩待你。

In Psalms 116:7 the Bible says:"Return, O my soul, to your rest; for the Lord has death bountifully with you."

圣经在诗篇116:7说:"我的心哪,你要仍归安乐,因为耶和华用厚恩待你。"

Deal bountifully with thy servant, I may live 存活存活存活存活, and keep thy

诗 119:17 求你用厚恩待你的仆人,使我存活,我就遵守你的话dabar 。

Return unto thy rest, O my soul; for the LORD hath dealt bountifully with thee.

116:7 我的心哪,你要仍归安乐,因为耶和华用厚恩待你。

After mainenervations being drawn out and being dried for 4 hours at 60℃,1156 samples of tobacco leaves from different tobacco producing-area were made into powder (≤0.13 mm). Reducing sugar, total sugar, nicotine, nitrogen, potassium and chlorine of more than 1000 samples from different tobacco producing-area were determined with classical chemical or instrumental methods. By scanning these samples with Fourier transform Near Infrared spectrometer (MARIXT-I produced by Bucker) we obtained their spectrograms, pretreated the spectrograms with a chemometrics software (OPUS 5.5) to debase the noises influence on spectrum information, and built a chemometrics model by means of Partial Least2Squares. The chemometric model was optimized some times and validated with some other samples.

选取全国不同烟草生产地区的1156余烟叶样品,采用相同的预处理条件(去处主脉,60℃烘干4小时),处理成40目待测粉末样品,采用行业经典的化学分析方法或准确可靠仪器方法测定其常规成分含量,在条件一致(20℃~24℃,环境湿度≤40 RH%)的实验室环境中,使用市场上主流的傅立叶变换红外光谱仪(德国BRUKER公司生产的MARIXT-I)上进行图谱扫描,采用OPUS5.5化学计量学软件,对光谱进行适当的预处理,减弱以至于消除各种噪声对光谱信息的影响,用偏最小二乘回归法建立常规成分预测模型,并进行了反复优化和未知样品模型外验证。

A new non-linear quadratic programming Bayesian prestack three-terms inversion method is developed; Firstly, this method is based on Bayesian parameter estimation theory, Gaussian distribution is used for likelihood function and modified Cauchy distribution is used for prior distribution; Secondly, covariance matrix is used to describe the degree of correlation between the parameters; rock physics relations are used to constrain the inversion results; at last, this method is transformed into non-linear quadratic programming problem, and inversion results are acquired under several constraints.

本文提出了一种基于非线性二次规划的叠前三参数反演方法。首先基于贝叶斯参数估计理论,假设似然函数服从高斯分布,并使待反演的参数服从于改进的Cauchy分布,从而提高了反演结果的分辨率;其次用协方差矩阵来描述参数间的相关程度,进一步提高了反演结果的稳定性;最后将问题转化为一个非线性二次规划的求解问题,并在多种约束下得到问题的解。

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