从汉字考释中管窥中国古代纺织文化

中国是世界上最早植桑、养蚕、缫丝的国家，中国古代的纺织具有鲜明的文化特征。古汉字中的帅部、糸部、巾部汉字及相关字群字义反映了中国古代服饰文化的演变进程及其鲜明特点。     

Suitability of Nettle Fiber for Textile Production

IntroductionNettle is a perennial root herd plant of Urticaceaefamily . There are 16 species of Urtica growing in China and6 of them growing in the Northen and Southwesten Chineseprovinces of Xinjiang , Gansu,Sichuan and Shaanxi . Alsointhe Northeast of China nettle abounds as a wild naturalresource . The basts of many Urtica plants stems are rich infibers , which are snowwhite , soft and can be used as atextile materials . The natural harl goods have many specialcharacteristics ,for ins…     

由"线"到"面"纺织用纤维前景看好

纺织行业是中国最大的传统产业,由于产业技术含量低,而由于分工越来越细化,产业与市场形成区域集群化,透明化,人才流动十分频繁,成本性竞争也日趋激烈,上下游企业之间只存在常规产品的加工业务合作这一个通道,致使纺织生产供应链越来越长。     

Color Matching for Fiber Blends Based on Stearns-Noechel Model

IntroductionMany industrial applications use blends of coloredfibers to produce special effects such as nonsolid or mottledappearance[1].In this case ,it is i mportant to predict theproportions of colored fibers in a blend. Up to now,thecolor mixing behaviour of pre-colored fiber blends has beendescribed in some papers , various empirical and semi-empirical methods are developed to color matching processof pre-colored fiber blends . Only Datacolor InternationalCompany has the commercial soft…     

回归分析方法在纺织上的应用

<正>回归分析是数理统计学中处理变量之间相关关系的一种数学方法,即定量的建立一个变量和另一个变量或几个变量之间的数学表达式.依据数学表达式达到对变量进行预测和控制的目的.因此回归分析方法得到广泛的应用.在实际问题中,变量之间存在一种非确     

如何提高棉花加工质量

<正>为了进一步做好棉花工作,提高棉花经济效益,自治区和兵团各级领导对棉花生产及加工给与高度重视。籽棉加工成皮棉,其质量既包括棉纤维本身的品质,如成熟度、纤维长度、细度、强力、马克隆值等情况,也包括轧花水平,即轧工质量。轧工质量是评定皮棉品级的三大条件之一,对皮棉的使用价值影     

天津工业大学:致力半导体照明研究,积极推动产学研结合

天津工业大学近年来立足自主创新,承担和完成了国防高科技、国家攻关、“863”、国家自然科学基金、国家火炬计划和省(部)级自然科学基金、百亿工程、社会科学等科研项目近千项,形成了以纺织复合材料、中空纤维膜分离技术、特种功能纤维材料、纺织油剂助剂、半导体照明、机电     

纺织服装院校物流人才培养绩效社会评价指标体系的构建

本文通过比较人才培养的传统评价模式和绩效评价模式，提出了以企业和竞争为标准的社会评价方式，并结合纺织服装院校专业特色，以此为基础构建了物流人才绩效社会评价指标体系，并利用模糊综合评价方法实现纺织服装物流人才培养绩效分析。     

Prediction of Anthropometric Dimensions Based on Grey Incidence Analysis and ANFIS

In order to select the efficient input variables of adaptive ncuro-fuzzy infence system （ANFIS）during the prediction anthropometric dimenions, grey incidence （GI） analysis, as a mastic method that ranks the sequence of of lots of variables in complicated factors has been applled.According to the prediction accuracy （A） between the predicted values and actual measured values, the ANFISG1 model with the parameters selected by using the GI analysis were more correct and effective than those done by multiple regression model and the model with input parmeters nonelected. The model prediction accuracy △Regrauskn= 0.804 7〈 △ANE3CI=0.9725, which proves the nodel with few parameters is more correct and effective than the other merits.