iosr-jpte   Volume-5 ~ Issue-3 ~ May – June 2018

Abstract: In the scope of this study, polymer solar cells were fabricated by using poly [2-methoxy, 5-(30,70-dimethyl-octyloxy)]-p-phenylene vinylene (MDMO-PPV) with three different molecular weight (A:25000, B:85000, C:450000). Their efficiencies were investigated and the highest efficiency was obtained in organic solar cells, which were prepared with batch of B polymer. On the other hand, the least efficiency values were detected by group A polymer. Studied Solar Cells are solution processable and prepared by Spin Coating. Obtained Efficiencies and AFM profiles of prepared solar cells were compared. When AFM images of three groups of MDMO-PPV polymers were examined, it was seen that surfaces of high efficiency B batch solar cells were smoother than those of A and C groups............

Keywords: AFM images, efficiency, molecular weight, polymer, organic solar cells, organic bulk heterojunction solar cells.

Abstract: The revolution of mass production and mass sizing in the 21st century has turned the perfect fit of a garment into a satisfactory one for an individual. A system for extracting body measurements for well-fitted garments at an affordable price is required. Even though 3D body scanning systems can give accurate results about the basic body dimensions, they have a limited use in the industry, especially in the small business setups. 2D images of a person can be used to determine their basic body dimensions. This paper proposes an inexpensive and automated system that will help the small business setups of garment manufacturers by giving a perfect fit to their customers. The experiments were performed on front and side 2D images of 40 young females (subjects) to extract thirteen of the basic body dimensions including the seven girth measurements [1]. All of them were first measured manually, and then 20 subjects were used for training to obtain the conversion formulas between the extracted and final obtained...........

Keywords- 2D Images, Feature Points, MATLAB, Measurements

Abstract: The purpose of this paper is to present a comparative analysis of statistical models to predict the loop length in knitted fabrics,relating this parameter to the stitch cam setting. Four linear regression methods were used;Least Squares, Nonparametric Regression, Least Absolute Deviations and M-Regression. Model performance was tested by the mean absolute deviation (MAD), the coefficient of determination R2 and the mean squared error (MSE). In order to obtain a model to determine the primary parameter for knitted structures and that controls the dimension of the garment components a study was developed.The results proved M-Regression to be the best performing method for predict the parameter of interest.The study was carried out in a textile company producing knitted garments located in the south of the Mexican state of Guanajuato..

Keywords- Loop length, Textile sector, Linearregression, Knitting, SMEs