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Normalization techniques for gas sensor array as applied to classification for black tea Cover

Normalization techniques for gas sensor array as applied to classification for black tea

Open Access
|Nov 2017

References

  1. N. Bhattacharyya, R. Bandyopadhyay, M. Bhuyan, B. Tudu, D. Ghosh, and A. Jana, “Electronic nose for black tea classification and correlation of measurements with “Tea Taster” marks”, IEEE Trans. Instrum. Meas., Vol. 57, No. 7, pp. 1313-1321, Jul. 2008.
  2. R. Dutta, E. L. Hines, J. W. Gardner, K. R. Kashwan, and M. Bhuyan, “Tea quality prediction using a tin oxide-based electronic nose: An artificial intelligence approach”, Sens. Actuators B, Vol. 94, pp. 228-237, Sep. 2003.10.1016/S0925-4005(03)00367-8
  3. [3]M. Padro, G. Niederjaufner, G. Benussi, G. Faglia, G. Sberveglieri, M. Holmberg, and I. Lundstrom, “Data preprocessing enhances the classification of different brands of Espresso coffee with an electronic nose”, Sens. Actuators B,Chem., Vol. 69, pp 397-403, 2007.10.1016/S0925-4005(00)00499-8
  4. R. G. Osuna and H. T. Nagle “A method for evaluating data –preprocessing techniques for odor classification with an array of gas sensors”, IEEE Trans. Syst. Man Cybernet., Part B, Vol.29, pp. 626-632, 1999.10.1109/3477.79044618252340
  5. Bipan Tudu, Nabarun Bhattacharyya, Bikram Kow, and Rajib Bandyopadhyay, “Comparison of Multivariate Normalization Techniques as Applied to Electronic Nose Based Pattern Classification for Black Tea”, in Proc. IEEE 3rd International Conference on Sensing Technology (ICST 2008), Tainan, Taiwan, Nov.30- Dec.3, 2008, pp. 254-258.10.1109/ICSENST.2008.4757108
  6. P. C. Jurs, G. A. Bakken, and H. E. McClelland, “Computational methods for the analysis of chemical sensor array data from volatile analytes”, Chemical Rev., Vol. 100, pp. 2649-2678, 2000.
  7. J. W. Gardner, P. N. Barlett, Electronic noses: Principles and Applications, Oxford University Press, 1999.
  8. S. M. Scott, D. James, and Z. Ali, “Data analysis for electronic nose systems”, Microchim Acta, Vol. 156, pp. 183–207, 2007.10.1007/s00604-006-0623-9
  9. M. E. Wall, A. Rechtsteiner, and L. M. Rocha, Singular value decomposition and principal component analysis, in A Practical Approach to Microarray Data Analysis, D. P. Berrar, W. Dubitzky, and M. Granzow (Eds.), Norwell, MA: Kluwer, pp. 91109 ch. 5, 2003.
  10. S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. Hong Kong: Pearson Educ. Asia, 2001.
Language: English
Page range: 176 - 189
Published on: Nov 2, 2017
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Bipan Tudu, Bikram Kow, Nabarun Bhattacharyya, Rajib Bandyopadhyay, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.