The authors have investigated the relations between the feed conditions of a puller device attached to a lock-stitch sewing machine and the physical properties of fabrics for preventing seam pucker.
It was efficient that the working range of the puller device corresponds with the range generating the tightening tension of needle thread during stitch-making process. To be more concrete,it was very effective in preventing seam pucker that the puller device is working from a little before the feed dog begins to feed fabric (about 23 degrees in the rotary angle) to the timing that the feed dog sinks in a throat plate.
The amount of apparent fabric slippage at feed dog, LB' was an important variable relating to the prevention of seam pucker.
The discriminant function to predict the preventive effect of puller feed on seam pucker was derived using the composite variable reflecting feed conditions and the some variables selected from physical properties of fabrics. Furthermore the multiple regression equation to estimate LB' was also obtained using some physical properties of fabrics as explanatory variables. Both the results were very useful for predicting the preventive effect of puller feed on seam pucker.
Color feature analysis was applied to the characterization of color textures of 24 kinds of fabrics with various colors and patterns by using CIELAB color space. Color measurements of these fabrics were done with a commercially available color scanner. X,Y,Z,L*,a*,b*,C*ab and hab of CIE color system were obtained for each pixel (i,j) in the image of color textures by respective measurements and by appropriate transformation of the values. Mean values for L*, C*ab and hab of all pixels (AVE-L*, AVE-C*ab and AVE-hab) were obtained as color information parameters. The angular second moment (ASM), contrast (CON), correlation (COR), entropy (ENT) and fractal dimension (D) statistically extracted from distributions of L* for each fabric, were measured as visual feature parameters. A semantic differential analysis has been made on the color texture according to following feeling scales: vivid-obscure, gaudy-quiet, striking-unnoticeable, hard-soft, strong-weak, warm-cool, heavy-light, light-dark, complex-simple, variable-invariable and homogeneous-heterogeneous. The relationship between their mean sensory values and the image information parameters was examined by the factor analysis. These results indicated that feelings from patterns related to visual feature parameters (ASM, CON, COR, ENT and D); heavy, hard and dark feelings related to AVE-L*; vivid, gaudy, striking and strong feelings related to AVE-C*ab; and warm feeling related to AVE-hab.
The purpose of this study was to clarify the influence of sibship size, gender of sib and birth order on interests of fashion. Subjects were 1062 children of primary schoolchildren and junior high school students. Analysis was done on each of them. Various aspects of fashion were influenced by sibship. Especially, an only child was interested in fashion very much. As a whole,the only child and the girl with a sister tend to be in the interest of fashion, while the child with a brother tends not to be in the interest so much of fashion. Furthermore, about sisters, in both primary schoolchildren and junior high students, gender of sib influenced on interest of fashion, and about primary schoolchildren, the desire of information of fashion was influenced by gender of sib, about junior high students, their concrete behavior about fashion-reading fashion magazines and taking the information of fashion in their real clothes-were influenced by birth order. The girl with an elder sister tends to have a positive action more than the girl with a younger sister. On both elder and younger, the girl with a brother tends to have a strong interest in fashion, while the boy with a brother tends not to have interest in fashion.