青年女体三维扫描数据的特征围度计算方法

为检验通过人体特征部位宽度和厚度的关系预测其围度数值的可行性,以330名20~26岁的青年女体作为样本进行研究。基于三维人体扫描数据,用Imageware软件获取胸围、下胸围、腰围、腹围和臀围5个人体特征围度部位的水平截面,测量水平截面的宽度、厚度并计算其比值;引入特征系数将特征部位分成6类,并分类对特征围度与其宽度、厚度进行相关分析来验证进行二元线性回归方程设计的可行性;逐类建立特征围度的回归方程并进行验证分析。结果显示,该方法预测的围度值与三维扫描测量的数值误差在±2 cm以内,平均误差在±0.7 cm以内。

多松量模型的松量分布规律及在服装外套上的建模

为满足服装生产中外套规格检验的需求,针对利用一般人台检验外套规格与真人穿着外套效果相差较大的问题,对多松量人台进行研究。本文在女子中间体模型的基础上,采用美国[TC]2扫描仪扫描53件实验用松量样衣得到外观轮廓三维点云数据;采用SPSS对围度层角度半径与特征围度层的三维点云数据进行相关分析与回归分析,得到围度与角度半径之间的线性模型;应用数学方法分析胸围、腰围与臀围和其他特征围度层之间的回归关系,得到各特征围度层之间的回归方程,获得不同松量的外套用人台的松量分布规律;采用线框建模的思想,逆向建模实现外套用多松量人台模型的建模,为获得多松量外套用试衣人台提供研究基础。

Investigation of Essential or Non-essential Character of Some Hardly Known Trace Elements for Plants

The concentration distribution of essential and non-essential micro-elements of the tissues of healthy organisms shows significant difference. This fact can be used for clarification of the biological role of hardly known trace elements, as well, proving the essential or non-essential character. In case of essential elements the concentration range is rather narrow, the distribution is normal. In case of non-essential elements the interval is wide, the concentration-distribution is log-normal. Measurements and mathematical calculations were carried out for determination of the concentrations and concentration-distributions of some micro-elements, trying to clarify the essentiality or non-essential character of the investigated elements from point of view of plant physiology. Based on the measurements for radish Li and Ni seem to be non-essential trace elements, however in case of Sr the distribution curve suggests an essential character, because the concentration range is not wide.