منابع مشابه
Computer-aided Weaving: From Numerical Data to Generative Textile
Contemporary computers are direct descendants of the Jackard’s loom – an industrial era machine that used punched cards as a way of calculating and representing numerical data to be subsequently transformed into weaving patterns (Essinger 2004) – and of Babbage’s Analytical Engine, which employed a variation of the same system to perform complex probabilistic calculations (Swade 1991). In that ...
متن کاملInnovations in the Indigenous Textile Weaving Firms in Southwestern Nigeria
The study investigated technology innovations and factors influencing its upgrading in the indigenous textile weaving firms in southwestern Nigeria. Data for the survey was sourced from 300 small scale firms with 91% retrieval rate. The survey instruments which were questionnaire, interview and personal observation elicited information on the weaving process. Majority (89%) of the respondents r...
متن کاملDeveloping a Model for Estimating Weaving and Non-Weaving Speed within Highways Weaving Segments (Tehran)
In weaving section due to a strong need for lane changing, a type of turbulence is created in traffic flow; so, the speedand the capacity of the weaving section decreases. Therefore, investigation of the weaving section is very important.However, due to shortage of the manual for urban principal arterials (highways), calibration of these models is necessary.One of these models...
متن کاملPrevalence of byssinosis in spinning and textile workers of Karachi, Pakistan.
The authors measured prevalence of byssinosis in spinning and textile workers of Karachi, Pakistan, and examined association of the disease with demographic and environmental factors. This was a cross-sectional study conducted in 3 spinning and textile mills and 3 colonies inhabited by spinning and textile workers. A precoded questionnaire was administered to the workers and followed by physica...
متن کاملGuided Neural Network Learning Using a Fuzzy Controller, with Applications to Textile Spinning
We apply neural networks to build a \metamodel" of the relation between key input parameters and output performance measures of a simulated textile spinning plant. We investigate two di erent neural network estimation algorithms, namely back-propagation and an algorithm incorporating a fuzzy controller for the learning rate. According to our experience, both algorithms are capable of providing ...
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ژورنال
عنوان ژورنال: Sen'i Gakkaishi
سال: 1982
ISSN: 0037-9875,1884-2259
DOI: 10.2115/fiber.38.3_p128