Additional thermodynamic feature extraction from chemoresistive carbon black-polymer composite sensors by temperature modulation

Kim, Yong Shin; Yang, Yoon Seok

doi:10.1016/j.snb.2006.04.109

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…An electronic nose is an instrument that imitates the functionalities of biological olfactory, which typically consists of an array of chemical sensors (usually gas sensors) and a pattern recognition system [1][2][3]. The electronic noses have been applied in some fields where odors or odorless volatiles and gases are thought to play roles [4], such as disease diagnosis [5], food quality [6,7], agricultural applications [8], environmental monitoring [9,10], and automotive industry [11].…”

Section: Introductionmentioning

confidence: 99%

Short-Time Fourier Transform and Decision Tree-Based Pattern Recognition for Gas Identification Using Temperature Modulated Microhotplate Gas Sensors

Wei

et al. 2016

Journal of Sensors

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Because the sensor response is dependent on its operating temperature, modulated temperature operation is usually applied in gas sensors for the identification of different gases. In this paper, the modulated operating temperature of microhotplate gas sensors combined with a feature extraction method based on Short-Time Fourier Transform (STFT) is introduced. Because the gas concentration in the ambient air usually has high fluctuation, STFT is applied to extract transient features from time-frequency domain, and the relationship between the STFT spectrum and sensor response is further explored. Because of the low thermal time constant, the sufficient discriminatory information of different gases is preserved in the envelope of the response curve. Feature information tends to be contained in the lower frequencies, but not at higher frequencies. Therefore, features are extracted from the STFT amplitude values at the frequencies ranging from 0 Hz to the fundamental frequency to accomplish the identification task. These lower frequency features are extracted and further processed by decision tree-based pattern recognition. The proposed method shows high classification capability by the analysis of different concentration of carbon monoxide, methane, and ethanol.

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Section: Introductionmentioning

confidence: 99%

Short-Time Fourier Transform and Decision Tree-Based Pattern Recognition for Gas Identification Using Temperature Modulated Microhotplate Gas Sensors

Wei

et al. 2016

Journal of Sensors

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“…The numerous applications of these materials include antistatic materials with moderate conductivity and/or their low cost, as demonstrated by Veregin et al (1987); 'semiconducting' materials for the cable industry, as demonstrated by Kim and Yang (2007); absorbers at microwave frequencies, as demonstrated by Duan et al (2006). Clark et al (2000) have shown other applications make use of very specific properties which were exhibited by CB filled polymers.…”

Section: Introductionmentioning

confidence: 99%

The response of carbon black filled high-density polyethylene to microwave processing

Liu

Qian

et al. 2010

Journal of Materials Processing Technology

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“…Our approach is to modulate the temperature of the sensor array and lock-in on the modulated signals across the array. Since the thermodynamics of partitioning is governed by temperature and concentration, the modulated signal will contain concentration and partition information …”

mentioning

confidence: 99%

Artificial Olfactory Signal Modulation for Detection in Changing Environments

2023

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Animals have evolved to sense in complex environments through both modulation behavior including sniffing as well as sophisticated neural processing including memory and neuromodulation. Here, we explore thermal modulation of chemically diverse sensor arrays, where response patterns are based on partitioning of odorants across the array. The differential response patterns contain information about the chemical nature of the odorant for identification. By transitioning away from well-defined concentration modulation, traditionally used in the field, to thermal modulation, it is possible to capture both diagnostic patterns as well as intensity information in complex environments. This performance is demonstrated with carbon-black based, chemically diverse sensor arrays, that are thermally modulated with light at 25 mHz exposed to different analytes of varying concentrations.

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Additional thermodynamic feature extraction from chemoresistive carbon black-polymer composite sensors by temperature modulation

Cited by 7 publications

References 27 publications

Short-Time Fourier Transform and Decision Tree-Based Pattern Recognition for Gas Identification Using Temperature Modulated Microhotplate Gas Sensors

Short-Time Fourier Transform and Decision Tree-Based Pattern Recognition for Gas Identification Using Temperature Modulated Microhotplate Gas Sensors

The response of carbon black filled high-density polyethylene to microwave processing

Artificial Olfactory Signal Modulation for Detection in Changing Environments

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