Sensors | Free FullText | A Wearable Electrochemical Gas ...
The aim of this study is the development of a wearable gas sensor for the detection of NH3 at room temperature based on the organic semiconductor poly(3,4ethylenedioxythiophene) (PEDOT), electrochemically deposited iridium oxide particles, and a hydrogel film. The hydrogel composition was finely optimised to obtain selfhealing properties, as well as the desired porosity, adhesion to the ...
Data set from gas sensor array under flow modulation ...
20150601· Data set from gas sensor array under flow modulation ... we share the data from an artificial olfactory system made of 16 MOX gas sensors under gas flow modulation. The data were acquired on a custom set up featured by an external mechanical ventilator that emulates the biological respiration cycle. 58 samples were recorded in response to a relatively broad set of 12 gas classes, …
Data set from gas sensor array under flow modulation ...
Data set from gas sensor array under flow modulation Andrey Ziyatdinov, Jordi Fonollosa, Luis Fernández, Agustín GutiérrezGálvez, Santiago Marco, Alexandre Perera; Affiliations Andrey Ziyatdinov B2SLab, Department of ESAII, Universitat Politenica de Catalunya, Pau Gargallo 5, Barcelona, Spain Jordi Fonollosa BioCircuits Institute, University of California, San Diego, La Jolla, CA 92093 ...
Effect of temperature modulation, on the gas sensing ...
20210101· An analysis of the sensor resistance data in temperature range 250 °C to 350 °C demonstrate that, modulation of the sensor operating temperature alone is sufficient to tailor gas sensing response of the ZnO nanomaterial. This temperature modulation introduces a deliberate discrimination among the sensors of an array, to any particular concentration of the above target …
Calibration transfer in temperature modulated gas sensor ...
Keywords: Calibration transfer; Gas sensor array; MOX; Temperature modulation. ABSTRACT Shifts in working temperature are an important issue that prevents the successful transfer of calibration models from one chemical instrument to another. This effect is of special relevance when working with gas sensor arrays modulated in temperature. In this paper, we study the use of multivariate ...
Optimized Feature Extraction for TemperatureModulated Gas ...
The signals of the microgas sensor array were measured when the operating temperature of sensors was modulated using an optimized multisinusoidal signal. The multisinusoidal signal was generated using a writteninhouse MATLAB code. A set of six modulating frequencies (optimal frequencies selected in a systematic way) was employed to synthesize the temperaturemodulating multisinusoidal ...
(PDF) Gas sensor array under flow modulation
It is shown that biologicallyinspired data aggregation methods result in improved odor discrimination in a gas sensor array. In one typical group of experiments, the correct identification rate ...
Data set from gas sensor array under flow modulation
Data Article Data set from gas sensor array under flow modulation Andrey Ziyatdinova,b,n, Jordi Fonollosac,d, Luis Fernándezd,e, Agustín GutiérrezGálvezd,e, Santiago Marcod,e, Alexandre Pereraa,b a B2SLab, Department of ESAII, Universitat Politenica de Catalunya, Pau Gargallo 5, Barcelona, Spain b Centro de Investigacion Biomedica en Red en Bioingenierıa, Biomateriales y Nanomedicina ...
Gas sensor array temperature modulation | Kaggle
UCI Machine Learning Repository: Gas sensor array ...
Gas sensor array under dynamic gas mixtures Data Set
20150320· Gas sensor array under dynamic gas mixtures Data Set Download: ... The operating voltage of the sensors, which controls the sensors’ operating temperature, was kept constant at 5 V for the whole duration of the experiments. The sensors’ conductivities were acquired continuously at a sampling frequency of 100 Hz. The sensor array was placed in a 60 ml measurement chamber, …
MACHINE LEARNING ALGORITHMS FOR CLASSIFICATION OF GAS ...
Methods such as temperature modulation, ultraviolet radiation and advanced fluctuation detection can be used to increase sensing capabilities [3]. Algorithms can be used to improve gas detection accuracy. Some common algorithms implemented are Decision Tree, K Nearest Neighbours, Naive Bayes, Support vector machine, Random forest and Logistic regression. But before the dataset can be given to ...
Gas sensor array temperature modulation Mendeley Data
20190404· Gas sensor array temperature modulation. Published: 4 April 2019 | Version 2 | DOI: / Contributor: Javier Burgués. Description. A chemical detection platform composed of 14 temperaturemodulated metal oxide semiconductor (MOX) gas sensors was continuously exposed during 3 weeks to dynamic mixtures of carbon monoxide (CO) and humid …