Electronic tongue system for water sample authentication: A slantlet-transform-based approach

IEEE Transactions on Instrumentation and Measurement

Volumn 60, Issue 6, 2011, Pages 1959-1966

  Kundu, Palash Kumar ^a   Chatterjee, Amitava ^a   Panchariya, P C ^b  

^a JADAVPUR UNIVERSITY   (India)

^b CENTRAL ELECTRONICS ENGINEERING RESEARCH INSTITUTE   (India)

Author keywords

Backpropagation neural networks (BPNNs); electronic tongue (E Tongue); feature extraction; slantlet transform (ST); water sample authentication

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BINARY CLASSIFIERS; INSTRUMENTATION SYSTEMS; LABORATORY ENVIRONMENT; NEURAL NETWORK CLASSIFIER; ORTHOGONAL DISCRETE WAVELET TRANSFORM; PARALLEL COMBINATION; SIMULTANEOUS ACHIEVEMENT; SLANTLET TRANSFORM; TIME LOCALIZATION; WATER SAMPLE AUTHENTICATION; WATER SAMPLES;

AUTHENTICATION; BACKPROPAGATION; DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; LINEAR TRANSFORMATIONS; NEURAL NETWORKS;

ELECTRONIC TONGUES;

EID: 79955944637     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2011.2115410     Document Type: Article

References (21)

1. A. V. Gopinath and D. Russel, "An inexpensive field portable programmable potentiostat," Chem Educator, vol. II, no. 1, pp. 23-28, 2006.
2. S. Holmin, P. Spangeus, C. Krantz-Rulcker, and F. Winquist, "Compression of electronic tongue data based on voltametry-A comparative study," Sens. Actuators B, Chem., vol. 76, no. 1-3, pp. 455-464, Jun. 2001. (Pubitemid 32513919)
3. T. Artursson and M. Holmberg, "Wavelet transform of electronic tongue data," Sens. Actuators B, Chem., vol. 87, no. 2, pp. 379-391, Dec. 2002. (Pubitemid 35282286)
4. B. Iliev, M. Lindquist, L. Robertson, and P. Wide, "A fuzzy technique for food-and water quality assessment with an electronic tongue," Fuzzy Sets Syst., vol. 157, no. 9, pp. 1155-1168, May 2006.
5. R. Martinez-Manez, J. Soto, E. Garcia-Breijo, L. Gil, J. Ibanez, and E. Llobet, "An 'electronic tongue' design for the qualitative analysis of natural waters," Sens. Actuators B, Chem., vol. 104, no. 2, pp. 302-307, Jan. 2005.
6. C. Di Natale, A. Macagnano, F. Davide, A. D'Amico, A. Legin, Y. Vlasov, A. Rudnitskaya, and B. Selezenev, "Multicomponent analysis on polluted waters by means of an electronic tongue," Sens. Actuators B, Chem., vol. 44, no. 1-3, pp. 423-428, Oct. 1997. (Pubitemid 127437407)
7. A. Legin, A. Rudnitskaya, Y. Vlasov, D. Natale, C. Mazzone, and A. D'Amico, "Application of electronic tongue for quantitative analysis of mineral water and wine," Electroanalysis, vol. 11, no. 10/11, pp. 814-820, 1999.
8. C. S. Burrus, R. A. Gopinath, and H. Guo, Introduction to Wavelets and Wavelet Transforms. Englewoood Cliffs, NJ: Prentice-Hall, 1997.
9. I. Daubechies, Ten Lectures onWavelets. Philadelphia, PA: SIAM, 1992.
10. I. W. Selesnick, "The slantlet transform," IEEE Trans. Signal Process., vol. 47, no. 5, pp. 1304-1313, May 1999.
11. B. K. Alpert, Wavelets and Other Bases for Fast Numerical Linear Algebra, in Wavelets: A Tutorial in Theory and Applications, C. K. Chui, Ed. New York: Academic, 1992.
12. B. Alpert, G. Beylkin, R. Coifman, and V. Rokhlin, "Wavelet-like bases for the fast solution of second-kind integral equations," SIAM J. Sci. Comput., vol. 14, no. 1, pp. 159-184, Jan. 1993.
13. H. Demuth andM. Beale, Neural Network Toolbox for Use With MATLAB User's Guide. Natick, MA: MathWorks, 1998.
14. A. Scozarri, N. Acito, and G. Corsini, "A novel method based on voltammetry for the qualitative analysis of water," IEEE Trans. Instrum. Meas., vol. 56, no. 6, pp. 2688-2697, Dec. 2007. (Pubitemid 350268506)
15. M. Lindquist and P. Wide, "Virtual water quality tests with an electronic tongue," in Proc. IEEE IMTC, Budapest, Hungary, May 21-23, 2001, pp. 1320-1324. (Pubitemid 32883962)
16. B. Tudu, A. Metla, B. Das, N. Bhattacharyya, A. Jana, D. Ghosh, and R. Bandyopadhyay, "Towards versatile electronic nose pattern classifier for black tea quality evaluation: An incremental fuzzy approach," IEEE Trans. Instrum. Meas., vol. 58, no. 9, pp. 3069-3078, Sep. 2009.
17. 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.
18. C. Di Nucci, A. Fort, S. Rocchi, L. Tondi, V. Vignoli, F. Di Francesco, andM. B. S. Santos, "A measurement system for odor classification based on the dynamic response of QCM sensors," IEEE Trans. Instrum. Meas., vol. 52, no. 4, pp. 1079-1086, Aug. 2003.
19. M. Pardo and G. Sberveglieri, "Coffee analysis with an electronic nose," IEEE Trans. Instrum. Meas., vol. 51, no. 6, pp. 1334-1339, Dec. 2002. (Pubitemid 41605974)
20. S. Osowski, T. H. Linh, and K. Brudzewski, "Neuro-fuzzy network for flavor recognition and classification," IEEE Trans. Instrum. Meas., vol. 53, no. 3, pp. 638-644, Jun. 2004.
21. M. Maitra and A. Chatterjee, "A Slantlet transform based intelligent system for magnetic resonance brain image classification," Biomed. Signal Process. Control, vol. 1, no. 4, pp. 299-306, Oct. 2006.