An effective method for analysis of dynamic electronic nose responses

Brudzewski, K.; Ulaczyk, J.

doi:10.1016/j.snb.2009.04.028

Cited by 34 publications

(20 citation statements)

References 12 publications

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“…RA extracted the response based on Eq. (1) computed as [7]: 0 0 max R R R RA ( 1 ) 170006-2 where max R and 0 R are the sensor's response calculated when odorant IN and OUT respectively (see Fig. 1a).…”

Section: Experimental Methodsmentioning

confidence: 99%

“…The previous experiment reported that some feature extraction methods have been applied to reduce and extract high dimension data of e-nose output response successfully, e.g. dynamic response [7], and wavelet packet analysis [8]. Application of dynamic response as feature extraction method of e-nose response is carried out by extracting information of the response in the steady state or transient state.…”

Section: Introductionmentioning

confidence: 99%

“…This method is effective to reduce high dimension data into simpler data. This method has been applied for extracting e-nose response in some cases [7,9]. Even the use of dynamic response method reduces the dimensionality of the data significantly; this method extracts only global information in original data [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparative analysis of feature extraction methods in the clustering of electronic nose response correlated with GC/MS analysis

Hardoyono¹,

Iswanto²,

Triyana³

2016

AIP Conference Proceedings

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Section: Experimental Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparative analysis of feature extraction methods in the clustering of electronic nose response correlated with GC/MS analysis

Hardoyono¹,

Iswanto²,

Triyana³

2016

AIP Conference Proceedings

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“…The PCA is a common pattern recognition algorithm used to analyze data obtained. [19][20] In particular, PCA is used to reduce the complexity of data by computing a new, much smaller set of uncorrelated variables which best represent the original data. This is done by projecting the high dimensional data set in a dimensional reduced space based on the uncorrelated and orthogonal eigenvectors of the covariance matrix computed from the instrument used.…”

Section: Principal Component Analysismentioning

confidence: 99%

Impedance Study of Tea with Added Taste Compounds Using Conducting Polymer and Metal Electrodes

Dhiman¹,

Kapur²,

Ganguli³

et al. 2012

j nanosci nanotechnol

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In this study the sensing capabilities of a combination of metals and conducting polymer sensing/working electrodes for tea liquor prepared by addition of different compounds using an impedance mode in frequency range 1 Hz-100 KHz at 0.1 V potential has been carried out. Classification of six different tea liquor samples made by dissolving various compounds (black tea liquor + raw milk from milkman), (black tea liquor + sweetened clove syrup), (black tea liquor + sweetened ginger syrup), (black tea liquor + sweetened cardamom syrup), (black tea liquor + sweet chocolate syrup) and (black tea liquor + vanilla flavoured milk without sugar) using six different working electrodes in a multi electrode setup has been studied using impedance and further its PCA has been carried out. Working electrodes of Platinum (Pt), Gold (Au), Silver (Ag), Glassy Carbon (GC) and conducting polymer electrodes of Polyaniline (PANI) and Polypyrrole (PPY) grown on an ITO surface potentiostatically have been deployed in a three electrode set up. The impedance response of these tea liquor samples using number of working electrodes shows a decrease in the real and imaginary impedance values presented on nyquist plots depending upon the nature of the electrode and amount of dissolved salts present in compounds added to tea liquor/solution. The different sensing surfaces allowed a high cross-selectivity in response to the same analyte. From Principal Component Analysis (PCA) plots it was possible to classify tea liquor in 3-4 classes using conducting polymer electrodes; however tea liquors were well separated from the PCA plots employing the impedance data of both conducting polymer and metal electrodes.

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“…Using the feature set instead of the original signal allows for fast and compact data analysis. The obtained data is modeled using a simple physical description of the measurement system based on the following assumptions (Rodriguez et al, 2010;RagazzoSancheza et al, 2009;Brudzewski and Ulaczyk, 2009;Men et al, 2010;Romain and Nicolas, 2010;Bahraminejad et al, 2010;Flueckiger et al, 2009;Baha and Dibi, 2009):…”

Section: Discusionmentioning

confidence: 99%

A Novel Odor Key Technique for Security Applications Using Electronic Nose System

Iskandarani¹

2010

American Journal of Applied Sciences

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Problem statement:A novel approach to security applications that makes use of odors as password generators is developed and tested. The developed system detects and converts odor signals that are randomly selected to binary signals and then intelligently compares them with previously stored values. Approach: The interface device in question then either opens its interface if comparison is successful or applies security measures to extra protect resources from intrusion. The used odor keys are initially unknown to the user as it is randomly selected from a box containing many types, adding extra security to the system. This approach eliminated any possibility of hacking into the system and provides passwords which were truly secured. Results: Normal interfacing methods and algorithms were subject to hacking and infiltration. Random odor combinational keys are a novel, well secured biometric interfacing means to a wide range of systems. Design and testing of a practical electronic nose that can be used as a security interface in a wide variety of applications with a combinational odor key algorithm that ensures a hacking free environment. Conclusion/Recommendations: Successful implementation of human-machine interface through a highly secured electronic nose with very encouraging results in terms of possible odor combinations and multi-dimensional password generation.

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An effective method for analysis of dynamic electronic nose responses

Cited by 34 publications

References 12 publications

Comparative analysis of feature extraction methods in the clustering of electronic nose response correlated with GC/MS analysis

Comparative analysis of feature extraction methods in the clustering of electronic nose response correlated with GC/MS analysis

Impedance Study of Tea with Added Taste Compounds Using Conducting Polymer and Metal Electrodes

A Novel Odor Key Technique for Security Applications Using Electronic Nose System

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