An Augmented Textile Tool To Predict Effectiveness Of Loom Production Using Data Mining

Abstract

The Small Scale textile industries lead a gradual growth in the cyber world. During the production, determination of the loom efficiency is the one of key factor in the textile industries. Experts of the textile industries are required to determine the efficiency of the loom. This paper proposed a simulation tools to predict the efficiency of the loom in the textile industries. This paper proposed a two phases to determine the efficiency of the loom. Enhanced Relative humidity of the loom determined in the first phase. The Proposed Back propagation used to determine the efficiency of RKM, breakage and elongation of the loom. This paper provides an effective result in determining the efficiency of the loom in the textileproduction.