Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of Kangra orthodox black tea (Camellia sinensis (L.) O. Kuntze)

Sensors and Actuators, B: Chemical

Volumn 166-167, Issue , 2012, Pages 309-319

  Kaur, Rishemjit ^a   Kumar, Ritesh ^a   Gulati, Ashu ^b   Ghanshyam, C ^a   Kapur, Pawan ^a   Bhondekar, Amol P ^a  

^a CSIR CENTRAL SCIENTIFIC INSTRUMENTS ORGANISATION   (India)

^b CSIR INSTITUTE OF HIMALAYAN BIORESOURCE TECHNOLOGY   (India)

Author keywords

Dynamic social impact theory; Electronic nose; Feature subset selection; Moving window time slicing; Principal component analysis (PCA); Support vector machine (SVM)

Indexed keywords

ARRAY RESPONSE; BATCH PRODUCTION; BLACK TEA; CAMELLIA SINENSIS; CLASSIFICATION RATES; CONTROL PARAMETERS; ELECTRONIC NOSE; FEATURE SUBSET SELECTION; MOVING WINDOW; MULTI OBJECTIVE; OPTIMIZERS; PERFORMANCE ENHANCEMENTS; PRODUCTION STAGE; SENSOR RESPONSE; SOCIAL IMPACT; TIME DEPENDENT; TIME INTERVAL; TIME SLICING; WRAPPER APPROACH;

ARTIFICIAL ORGANS; ECONOMIC AND SOCIAL EFFECTS; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; SENSORS;

SUPPORT VECTOR MACHINES;

EID: 84863394407     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2012.02.067     Document Type: Article

References (41)

1. F. Rock, N. Barsan, and U. Weimar Electronic nose: current status and future trends Chemical Reviews 108 2008 705 725
2. D. James, S.M. Scott, Z. Ali, and W.T.O. Hare Chemical sensors for electronic nose systems Microchimica Acta 149 2005 1 17
3. M. Peris, and L. Escuder-Gilabert A 21st century technique for food control: electronic noses Analytica Chimica Acta 638 2009 1 15
4. E.H. Oh, H.S. Song, and T.H. Park Recent advances in electronic and bioelectronic noses and their biomedical applications Enzyme and Microbial Technology 48 2011 427 437
5. A. Berna Metal oxide sensors for electronic noses and their application to food analysis Sensors 10 2010 3882 3910
6. A. Far, F. Flitti, B. Guo, and A. Bermak Gas identification system based on temperature modulation tin-oxide sensors and bio-inspired processing Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on 2008 1010 1013
7. 2 sensors by means of operating temperature modulation Thin Solid Films 418 2002 2 8
8. R. Gutierrez-Osuna, A. Gutierrez-Galvez, and N. Powar Transient response analysis for temperature-modulated chemoresistors Sensors and Actuators B: Chemical 93 2003 57 66
9. A. Ortega, S. Marco, A. Perera, T. Å undic, A. Pardo, and J. Samitier An intelligent detector based on temperature modulation of a gas sensor with a digital signal processor Sensors and Actuators B: Chemical 78 2001 32 39
10. R. Gutierrez-Osuna, and H.T. Nagle A method for evaluating data-preprocessing techniques for odour classification with an array of gas sensors IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics 29 1999 626 632
11. B.G. Kermani, S.S. Schiffman, and H.T. Nagle Using neural networks and genetic algorithms to enhance performance in an electronic nose IEEE Transactions on Biomedical Engineering 46 1999 429 439
12. B.G. Kermani, S.S. Schiffman, and H.T. Nagle Performance of the Levenberg-Marquardt neural network training method in electronic nose applications Sensors and Actuators B: Chemical 110 2005 13 22
13. D.L. García-González, and R. Aparicio Detection of defective virgin olive oils by metal-oxide sensors European Food Research and Technology 215 2002 118 123
14. J.W. Gardner, P. Boilot, and E.L. Hines Enhancing electronic nose performance by sensor selection using a new integer-based genetic algorithm approach Sensors and Actuators B: Chemical 106 2005 114 121
15. P. Boilot, E.L. Hines, M.A. Gongora, and R.S. Folland Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions Sensors and Actuators B: Chemical 88 2003 80 88
16. A.K. Bag, B. Tudu, J. Roy, N. Bhattacharyya, and R. Bandyopadhyay Optimization of sensor array in electronic nose: a rough set-based approach Sensors Journal, IEEE 11 2011 3001 3008
17. S. Buratti, D. Ballabio, S. Benedetti, and M.S. Cosio Prediction of Italian red wine sensorial descriptors from electronic nose, electronic tongue and spectrophotometric measurements by means of genetic algorithm regression models Food Chemistry 100 2007 211 218
18. A. Herrero, and M. Cruz Ortiz Qualitative and quantitative aspects of the application of genetic algorithm-based variable selection in polarography and stripping voltammetry Analytica Chimica Acta 378 1999 245 259
19. M.G. Buehler, G.M. Kuhlman, D. Keymeulen, and S.P. Kounaves Advanced electronic tongue concept Aerospace Conference Proceedings, 2002. IEEE 2002 407 416
20. H. Men, Z.N. Ge, H.Y. Liu, R.X. Wen, and Z.M. Xu Optimization of sensor array data with various pattern recognition techniques Applied Mechanics and Materials 20-23 2010 694 699
21. A. Bhondekar, R. Vig, A. Gulati, M. Singla, and P. Kapur Performance evaluation of a novel iTongue for Indian black tea discrimination Sensors Journal, IEEE 11 2011 3462 3468
22. A.P. Bhondekar, R. Kaur, R. Kumar, R. Vig, and P. Kapur A novel approach using dynamic social impact theory for optimization of impedance-Tongue (iTongue) Chemometrics and Intelligent Laboratory Systems 109 2011 65 76
23. S. Borah, E.L. Hines, and M. Bhuyan Wavelet transform based image texture analysis for size estimation applied to the sorting of tea granules Journal of Food Engineering 79 2007 629 639
24. The grading of tea, Wissotzky Tea, http://www.wtea.com/about-tea-grading. aspx (accessed on 19.07.11).
25. Grading, sorting and packing, Tea Research Association, India http://www.tocklai.net/TeaManufacture/sorting.aspx (accessed on 19.07.11).
26. R. Gutierrez-Osuna Pattern analysis for machine olfaction: a review Sensors Journal, IEEE 2 2002 189 202
27. K. Brudzewski, and J. Ulaczyk An effective method for analysis of dynamic electronic nose responses Sensors and Actuators B: Chemical 140 2009 43 50
28. A. Gulbag, and F. Temurtas A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures Sensors and Actuators B: Chemical 121 2007 590 599
29. J. Brezmes, P. Cabre, S. Rojo, E. Llobet, X. Vilanova, and X. Correig Discrimination between different samples of olive oil using variable selection techniques and modified fuzzy artmap neural networks Sensors Journal, IEEE 5 2005 463 470
30. R. Gutierrez-Osuna, H.T. Nagle, and S.S. Schiffman Transient response analysis of an electronic nose using multi-exponential models Sensors and Actuators B: Chemical 61 1999 170 182
31. R. Haddad, L. Carmel, and D. Harel A feature extraction algorithm for multi-peak signals in electronic noses Sensors and Actuators B: Chemical 120 2007 467 472
32. T. Eklov, P. Martensson, and I. Lundstrom Enhanced selectivity of MOSFET gas sensors by systematical analysis of transient parameters Analytica Chimica Acta 353 1997 291 300
33. C. Distante, M. Leo, P. Siciliano, and K.C. Persaud On the study of feature extraction methods for an electronic nose Sensors and Actuators B: Chemical 87 2002 274 288
34. E. Phaisangittisagul, and H.T. Nagle Predicting odor mixture's responses on machine olfaction sensors Sensors and Actuators B: Chemical 155 2011 473 482
35. E. Phaisangittisagul, Signal processing using wavelets for enhancing electronic nose performance, Ph.D. dissertation, North Carolina State University, Raleigh, NC, 2007.
36. B. Latańe The psychology of social impact American Psychologist XXXVI 1981 343 356
37. A. Nowak, J. Szamrej, and B. Latané From private attitude to public opinion: a dynamic theory of social impact Psychological Review 97 1990 362 376
38. M. Macaš, L. Lhotská, and V. Křemen Social impact based approach to feature subset selection N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta, Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) 2008 Springer Berlin/Heidelberg 239 248
39. C.C. Chang, and C.J. Lin LIBSVM: a library for support vector machines ACM Transactions on Intelligent Systems and Technology 2 2011 27:21 27:27
40. R. Rawat, A. Gulati, G.D. Kiran Babu, R. Acharya, V.K. Kaul, and B. Singh Characterization of volatile components of Kangra orthodox black tea by gas chromatography-mass spectrometry Food Chemistry 105 2007 229 235
41. E. Phaisangittisagul, and H.T. Nagle Sensor selection for machine olfaction based on transient feature extraction IEEE Transactions on Instrumentation and Measurement 57 2008 369 378