V型混合机是预混合饲料厂和药厂最常采用的混合机,为了研究不同装载系数和混合时间对预混料混合均匀度的影响,探求V型混合机在添加剂预混料生产中合理的装载系数和最佳的混合时间。采用甲基紫示踪法,以玉米粉为原料,采用两因素随机分组...V型混合机是预混合饲料厂和药厂最常采用的混合机,为了研究不同装载系数和混合时间对预混料混合均匀度的影响,探求V型混合机在添加剂预混料生产中合理的装载系数和最佳的混合时间。采用甲基紫示踪法,以玉米粉为原料,采用两因素随机分组实验设计方案,分为5个装载系数(20%、30%、40%、50%和60%)和3个不同混合时间(8、10、15 m in)对饲料混合均匀度的影响进行研究。结果表明:V型混合机的最佳装载系数为30%,最佳的混合时间为10 m in。展开更多
由于简单线性迭代聚类(simple linear iterative clustering,SLIC)算法对含有相干斑噪声的合成孔径雷达(synthetic aperture radar,SAR)图像边缘分割不理想,提出了一种基于变差系数(coefficient of variation,CV)的SAR图像超像素分割算...由于简单线性迭代聚类(simple linear iterative clustering,SLIC)算法对含有相干斑噪声的合成孔径雷达(synthetic aperture radar,SAR)图像边缘分割不理想,提出了一种基于变差系数(coefficient of variation,CV)的SAR图像超像素分割算法。该算法首先对SAR图像进行各项异性高斯平滑预处理,使得图像相干斑得到平滑的同时边缘信息不被破坏;其次,采用CV估计边缘信息,使得图像的同质区与边缘区更容易区分;最后用加入边缘信息的SLIC算法进行聚类,生成超像素。实验结果表明:该算法在SAR图像分割下与3种经典超像素算法相比,其召回率至少提高了5%,且超像素个数大于400时,欠分割错误率降低了2%。该算法使得SAR图像超像素分割的准确度提高,其边缘和图像真实边缘更加贴切。展开更多
The Coefficient of Variation(CV)of hectometer yarn's weight is one of the guidelines to evaluate its intrinsic quality.In the spinning manufacturing,the control of cotton yarn's weight unevenness is accomplish...The Coefficient of Variation(CV)of hectometer yarn's weight is one of the guidelines to evaluate its intrinsic quality.In the spinning manufacturing,the control of cotton yarn's weight unevenness is accomplished mainly in terms of a spot-check on semi-product and a succedent adjust in process parameters during spinning based on technicians' experience.However,it is theoretically believed among manufacturers that with fixed technical levels and parameters in the spinning process,the quality parameters of assorted cotton have a certain influence on the CV.In order to find out a rule of the influence that assorted cotton has on the CV,a GM(1,N)model,correlated raw cotton's quality parameter with the CV,has firstly been developed according to the modeling theory of grey system,and then been applied in the designing step to predict the CV.It has been approved by practical modeling and validation that the model could fit preferably an accrual CV value,and provide a method of quantitative predicting analysis for textile manufacturers to design cotton yarn's quality.展开更多
文摘V型混合机是预混合饲料厂和药厂最常采用的混合机,为了研究不同装载系数和混合时间对预混料混合均匀度的影响,探求V型混合机在添加剂预混料生产中合理的装载系数和最佳的混合时间。采用甲基紫示踪法,以玉米粉为原料,采用两因素随机分组实验设计方案,分为5个装载系数(20%、30%、40%、50%和60%)和3个不同混合时间(8、10、15 m in)对饲料混合均匀度的影响进行研究。结果表明:V型混合机的最佳装载系数为30%,最佳的混合时间为10 m in。
文摘由于简单线性迭代聚类(simple linear iterative clustering,SLIC)算法对含有相干斑噪声的合成孔径雷达(synthetic aperture radar,SAR)图像边缘分割不理想,提出了一种基于变差系数(coefficient of variation,CV)的SAR图像超像素分割算法。该算法首先对SAR图像进行各项异性高斯平滑预处理,使得图像相干斑得到平滑的同时边缘信息不被破坏;其次,采用CV估计边缘信息,使得图像的同质区与边缘区更容易区分;最后用加入边缘信息的SLIC算法进行聚类,生成超像素。实验结果表明:该算法在SAR图像分割下与3种经典超像素算法相比,其召回率至少提高了5%,且超像素个数大于400时,欠分割错误率降低了2%。该算法使得SAR图像超像素分割的准确度提高,其边缘和图像真实边缘更加贴切。
基金Hunan Provincial Basic Science Foundation of China(No.2007FJ3046)Key Scientific Research Fundof Hunan Provincial Education Department,China(No.07A048)
文摘The Coefficient of Variation(CV)of hectometer yarn's weight is one of the guidelines to evaluate its intrinsic quality.In the spinning manufacturing,the control of cotton yarn's weight unevenness is accomplished mainly in terms of a spot-check on semi-product and a succedent adjust in process parameters during spinning based on technicians' experience.However,it is theoretically believed among manufacturers that with fixed technical levels and parameters in the spinning process,the quality parameters of assorted cotton have a certain influence on the CV.In order to find out a rule of the influence that assorted cotton has on the CV,a GM(1,N)model,correlated raw cotton's quality parameter with the CV,has firstly been developed according to the modeling theory of grey system,and then been applied in the designing step to predict the CV.It has been approved by practical modeling and validation that the model could fit preferably an accrual CV value,and provide a method of quantitative predicting analysis for textile manufacturers to design cotton yarn's quality.
