Experimental design in soap manufacturing for optimization of fuzzified process capability index

In manufacturing industries, the quality of a product depends on the combined effect of multiple input variables working singly or together and therefore attention has been given on process capability indices to shift from single to multivariate domain. In case of multivariable domain the capability to incorporate uncertainties at the time of decision making becomes necessary. Fuzzy system is introduced to take care of this requirement. In this article the process parameters of soap manufacturing industries have been analyzed. The process capability is determined using Fuzzy Inference System rule editor based on a set of justified if then statements as applicable for the process. The data has been collected in linguistic form to derive its process capability, using a set of justified rules and the effect of each factor has been determined using Design of Experiments (DoE) and analysis of variance technique (ANOVA) for improving the soap quality from perspective of its softness. This article ventures to propose a new methodology by integrating Fuzzy with DoE providing better result followed by DoE and Fuzzy Inference system in isolation.     

涂料用稀土催干剂中稀土金属含量分析研究

在一定条件下，以ＥＤＴＡ为络合剂，以二甲酚橙为指示剂，用络合滴定法测定了涂料用稀土催干剂中稀土金属的含量。     

Feasibility of Sludge Ozonation for Stabilization and Conditioning

A pilot-scale sludge treatment plant was built to investigate the feasibility of ozonation processes for waste activated sludge treatment. Ozonation of wastewater sludge resulted in mass reduction by mineralization as well as by supernatant and filtrate recycle. Another advantage of sludge ozonation is a significant improvement of settleability and dewaterability. Experimental results showed that mass reduction of 70% and volume reduction of 85% compared with the control sludge was achieved through the sludge ozonation at a dose of 0.5?gO₃/gDS. It is also interesting to note that the filterability deteriorates up to ozone dose of 0.2?gO₃/gDS and then improves considerably at a higher ozone dose. The filterability could be improved by chemical conditioning even at a low ozone dose. The economic feasibility by cost analysis reveals that ozonation processes can be more economical than other alternative processes for sludge treatment and disposal at small-sized wastewater treatment plants.     

邻二甲苯泵用机械密封的失效分析

针对国产化过程中，邻二甲苯泵用机械密封工作时产生的故障，进行了失效分析。为邻二甲苯泵用机械密封的改造提供了依据。     

一种应用于人脸识别的超分辨率方法

为提高局部保持投影(LPP)在人脸图像超分辨率中的适用性,在LPP中引入典型相关分析(CCA),提出一种相关性增强的局部保持投影方法(CELPP)。CELPP用于提取高分辨率图像与低分辨率图像特征,根据关系学习建立低分辨率图像特征与高分辨率图像特征之间的映射变换,输入低分辨率图像,通过CELPP特征提取和关系映射,得到高分辨率图像,并将其用于人脸识别。对人脸库ORL和Yale进行的实验结果表明,该方法同时考虑了高分辨率图像与低分辨率图像的相似性及同类图像的局部结构性,在基于人脸识别的超分辨率应用中优于LPP和CCA。     

基于小波包融合与矩阵主成分分析的人脸识别

提出一种改进的小波包融合＋2DPCA方法,先对图像进行二层小波包分解,再选取最利于判别分类的4幅高频子图进行融合,将融合子图与低频子图分别进行2DPCA降维和特征提取,最后进行决策级融合,得到识别结果。在Yale和JAFFE标准人脸库上的实验结果表明,该改进方法能有效提高识别率。     

维吾尔语的重音检测

根据维吾尔语词重音的位置规律进行音节级标注,提取不同的特征参数（能量、基频等）,对各个特征参数作单流、分流及特征级融合识别实验,对比分析各特征参数对重音检测识别率的影响。对融合后的高维单流特征采用主成分分析作降维、去冗余处理,并作识别实验。参照识别精确率结合语音语言学知识对实验结果进行分析。     

基于线性判别分析的寄生虫卵识别

寄生虫病是危害人类及动物健康的疾病之一。为了实现对寄生虫卵的自动识别,辅助临床检测,提出基于线性判别分析的寄生虫卵识别方法。采用结合形态学滤波和Otsu的方法分割得到寄生虫卵及其轮廓,提取形状特征和纹理特征作为特征向量集,并利用线性判别分析实现对寄生虫卵自动识别。实验结果表明,该方法对6种寄生虫卵的识别正确率达到90.70%。     

多声路超声波流量计在引水明渠中的流量测量分析

介绍了多声路超声波流量计在明渠中的流量测量原理,并通过多声路时差式超声波流量计在引水明渠上的实例应用对影响流量测量的误差源进行了具体的分析。     

平盖开孔的有限元分析及其补强方法的探讨

为了使平盖开孔补强结构更为合理、可靠,使用圆形平板的理论解和有限元分析方法,对不同开孔直径的27个平盖模型进行了应力计算和分析比较,进一步探讨了不同的开孔补强方法。结果表明,对于开孔率小于0.5的平盖开孔补强采用均匀增加平盖厚度的方法,不能解决孔边产生的应力集中问题,难以达到补强的效果;而采用外加补强元件的方法,则应明确其补强范围应在2d范围内。