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A technique of cotton bale laydown using clustering algorithm

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Abstract

A new technique of cotton bale management using clustering algorithm has been proposed. The method is based on the grouping cotton bales of similar kind into respective categories using k-mean square clustering algorithm. A set of 500 cotton bales were clustered into 5 categories by minimizing the total within-group squared Euclidean distance around the 5 centroids. In order to cluster bales of different categories, 8 fibre properties, viz., strength, elongation, upper half mean length, length uniformity, short fibre content, micronaire, reflectance and yellowness of each bale have been considered. Once the bales are clustered into different categories, it is possible to prepare consistent bale mix for consecutive laydowns on the basis of frequency relative picking method.

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References

  1. H. L. Lewis, “Proceedings of Beltwide Cotton Conferences”, Nashville, USA, 1989.

  2. C. Chewning, J. Zeplin, and S. Vodicka, “Proceedings of Beltwide Cotton Conferences”, San Diego, USA, 1994.

  3. Y. E. E. Mogahzy and Y. Gowayed, Text. Res. J., 65, 32 (1995).

    Article  Google Scholar 

  4. Y. E. E. Mogahzy, R. Broughton, and W. K. Lynch, Text. Res. J., 60, 495 (1990).

    Article  Google Scholar 

  5. B. C. Kang, S. W. Park, H. J. Koo, and S. H. Jeong, Fiber. Polym., 1, 55 (2000).

    Article  Google Scholar 

  6. A. Majumdar, P. K. Majumdar, and B. Sarkar, Autex Res. J., 4, 1 (2004).

    Google Scholar 

  7. A. Majumdar, B. Sarkar, and P. K. Majumdar, Ind. J. Fibre Text. Res., 31, 248 (2006).

    CAS  Google Scholar 

  8. J. Militky, “Proceedings of Beltwide Cotton Conferences”, San Antonio, USA, 2006.

  9. R. A. Johnson and D. W. Wichern, “Applied Multivariate Statistical Analysis”, 6th ed., Pearson Prentice Hall, New Delhi, 2008.

    Google Scholar 

  10. T. W. Anderson, “An Introduction to Multivariate Statistical Analysis”, 3rd Ed., John Wiley, New York, 2003.

    Google Scholar 

  11. T. L. Saaty, “The Analytical Hierarchy Process”, McGraw-Hill, New York, 1980.

    Google Scholar 

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Authors and Affiliations

  1. Government College of Engineering and Textile Technology, Berhampore, West Bengal, 742 101, India

    Abhijit Majumdar

  2. Department of Textile Technology, Indian Institute of Technology, Delhi, New Delhi, 110 016, India

    Anindya Ghosh & Subhasis Das

Authors
  1. Anindya Ghosh
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  2. Abhijit Majumdar
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  3. Subhasis Das
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Correspondence to Anindya Ghosh.

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Ghosh, A., Majumdar, A. & Das, S. A technique of cotton bale laydown using clustering algorithm. Fibers Polym 13, 809–813 (2012). https://doi.org/10.1007/s12221-012-0809-1

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  • DOI: https://doi.org/10.1007/s12221-012-0809-1

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