Analyzing the imprecise capacitance and resistance data of humidity sensors
The classical statistics cannot be applied adequately when the observations of humidity sensing data are imprecise. In this paper, the analysis of humidity sensing data will be presented using neutrosophic statistics. We present the neutrosophic statistical analysis for capacitance and resistance da...
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Veröffentlicht in: | Sensors and actuators. B, Chemical Chemical, 2022-09, Vol.367, p.132092, Article 132092 |
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creator | Afzal, Usama Afzal, Jamil Aslam, Muhammad |
description | The classical statistics cannot be applied adequately when the observations of humidity sensing data are imprecise. In this paper, the analysis of humidity sensing data will be presented using neutrosophic statistics. We present the neutrosophic statistical analysis for capacitance and resistance data of humidity sensors. We collected the data and analyzed it using neutrosophic statistics and classical statistics. From the study, we observed the capacitance and resistance variance of humidity sensors with respect to change in relative humidity. From the comparative study, it is noted that the neutrosophic statistics is more informative, flexible, and adequate in analyzing the imprecise humidity sensors data.
•the electric properties of humidity sensors.•capacitance and resistance of humidity sensors.•flexible and adequate in the analyzation of capacitance and resistance. |
doi_str_mv | 10.1016/j.snb.2022.132092 |
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•the electric properties of humidity sensors.•capacitance and resistance of humidity sensors.•flexible and adequate in the analyzation of capacitance and resistance.</description><subject>Capacitance</subject><subject>Classical statistics</subject><subject>Comparative studies</subject><subject>Humidity</subject><subject>Imprecise data</subject><subject>Neutrosophic</subject><subject>Relative humidity</subject><subject>Sensors</subject><subject>Statistical analysis</subject><issn>0925-4005</issn><issn>1873-3077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kM1Lw0AQxRdRsFb_AG8LnhP3I1-Lp1L8woKX3pdxM7Eb2iTupEL8690Sz56GGd4b3vsxditFKoUs7tuUuo9UCaVSqZUw6owtZFXqRIuyPGeLeMmTTIj8kl0RtUKITBdiwd5WHeynH9998nGH3B-GgM4TcgcDOD9C55BDV_OA5GleaxiB9w3fHQ--9uPECTvqA12ziwb2hDd_c8m2T4_b9UuyeX9-Xa82idMqH5Mml8aBabCImQoEJWNq0SjMQIM0tctKjY3MDVTKlaZ02qgqdxJKAyar9JLdzW-H0H8dkUbb9scQa5BVhSmkzpQ2USVnlQs9UcDGDsEfIExWCntCZlsbkdkTMjsji56H2YMx_bfHYMl5jJVrH6mMtu79P-5fL6dzYw</recordid><startdate>20220915</startdate><enddate>20220915</enddate><creator>Afzal, Usama</creator><creator>Afzal, Jamil</creator><creator>Aslam, Muhammad</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20220915</creationdate><title>Analyzing the imprecise capacitance and resistance data of humidity sensors</title><author>Afzal, Usama ; Afzal, Jamil ; Aslam, Muhammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-f519ca9fe69256ea210220f2e4a3a19dc473ef159a82c797c39285c1a79a9483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Capacitance</topic><topic>Classical statistics</topic><topic>Comparative studies</topic><topic>Humidity</topic><topic>Imprecise data</topic><topic>Neutrosophic</topic><topic>Relative humidity</topic><topic>Sensors</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Afzal, Usama</creatorcontrib><creatorcontrib>Afzal, Jamil</creatorcontrib><creatorcontrib>Aslam, Muhammad</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Sensors and actuators. B, Chemical</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Afzal, Usama</au><au>Afzal, Jamil</au><au>Aslam, Muhammad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analyzing the imprecise capacitance and resistance data of humidity sensors</atitle><jtitle>Sensors and actuators. B, Chemical</jtitle><date>2022-09-15</date><risdate>2022</risdate><volume>367</volume><spage>132092</spage><pages>132092-</pages><artnum>132092</artnum><issn>0925-4005</issn><eissn>1873-3077</eissn><abstract>The classical statistics cannot be applied adequately when the observations of humidity sensing data are imprecise. In this paper, the analysis of humidity sensing data will be presented using neutrosophic statistics. We present the neutrosophic statistical analysis for capacitance and resistance data of humidity sensors. We collected the data and analyzed it using neutrosophic statistics and classical statistics. From the study, we observed the capacitance and resistance variance of humidity sensors with respect to change in relative humidity. From the comparative study, it is noted that the neutrosophic statistics is more informative, flexible, and adequate in analyzing the imprecise humidity sensors data.
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subjects | Capacitance Classical statistics Comparative studies Humidity Imprecise data Neutrosophic Relative humidity Sensors Statistical analysis |
title | Analyzing the imprecise capacitance and resistance data of humidity sensors |
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