scholarly journals Metal Oxide Gas Sensor Drift Compensation Using a Dynamic Classifier Ensemble Based on Fitting

Sensors ◽  
2013 ◽  
Vol 13 (7) ◽  
pp. 9160-9173 ◽  
Author(s):  
Hang Liu ◽  
Zhenan Tang
Chemosensors ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 78
Author(s):  
Jianhua Cao ◽  
Tao Liu ◽  
Jianjun Chen ◽  
Tao Yang ◽  
Xiuxiu Zhu ◽  
...  

Gas sensor drift is an important issue of electronic nose (E-nose) systems. This study follows this concern under the condition that requires an instant drift compensation with massive online E-nose responses. Recently, an active learning paradigm has been introduced to such condition. However, it does not consider the “noisy label” problem caused by the unreliability of its labeling process in real applications. Thus, we have proposed a class-label appraisal methodology and associated active learning framework to assess and correct the noisy labels. To evaluate the performance of the proposed methodologies, we used the datasets from two E-nose systems. The experimental results show that the proposed methodology helps the E-noses achieve higher accuracy with lower computation than the reference methods do. Finally, we can conclude that the proposed class-label appraisal mechanism is an effective means of enhancing the robustness of active learning-based E-nose drift compensation.


2009 ◽  
Author(s):  
Frank Röck ◽  
Nicolae Barsan ◽  
Udo Weimar ◽  
Matteo Pardo ◽  
Giorgio Sberveglieri

2014 ◽  
Vol 43 (1) ◽  
pp. 74-88 ◽  
Author(s):  
Kamarulzaman Kamarudin ◽  
Syed Muhammad Mamduh ◽  
Ali Yeon Md Shakaff ◽  
Shaharil Mad Saad ◽  
Ammar Zakaria ◽  
...  

2014 ◽  
pp. 1213-1253
Author(s):  
Jamal Mazloom ◽  
Farhad E. Ghodsi

This chapter provides a review of recent progress in gas sensor based on semiconducting metal oxide nanostructure. The response mechanism and development of various methods to enhancement of sensing properties receives the most attention. Theoretical models to explain the effects of morphology, additives, heterostructured composite and UV irradiation on response improvement were studied comprehensively. Investigations have indicated that 1D nanostructured metal oxide with unique geometry and physical properties display superior sensitivity to gas species. Also, the proposed conduction model in gas sensor based on 1D Metal oxide is discussed. Finally, the response mechanism of hierarchical and hollow nanostructures as novel sensing materials is addressed.


2020 ◽  
Vol MA2020-01 (28) ◽  
pp. 2153-2153
Author(s):  
Binayak Ojha ◽  
Divyashree Narayana ◽  
Margarita Aleksandrova ◽  
Heinz Kohler ◽  
Matthias Schwotzer ◽  
...  

2015 ◽  
Vol 76 (10) ◽  
Author(s):  
Amirul Abd Rashid ◽  
Nor Hayati Saad ◽  
Daniel Bien Chia Sheng ◽  
Lee Wai Yee ◽  
Ahmed Jaffar

Relative Humidity (RH) is considered as one of the important variable to be controlled during testing and characterizing of metal oxide gas sensor. This is because the metal oxide can easily react with the hydrogen and oxygen molecule of the water vapor which associated with RH level. In this paper, the effect of using nitrogen as carrier to feed the analyte to the sensor inside a 40 liter capacity container has been studied. When Nitrogen gas was supplied to the chamber, the RH value dropped significantly from initial ~67 % RH to ~7 % RH within one hour duration. As an alternative, a simple bubbler system was introduced to minimize the drop of RH. The bubbler which was filled with 100% distilled water or mixed with a certain percentage of glycerol are able to maintain the RH to a certain level for a certain period of time.  


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