A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor
Due to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsiste...
Gespeichert in:
Veröffentlicht in: | IEEE access 2021, Vol.9, p.48236-48243 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 48243 |
---|---|
container_issue | |
container_start_page | 48236 |
container_title | IEEE access |
container_volume | 9 |
creator | Tang, Zhaozhao Wu, Wenyan Gao, Jinliang Luo, Jingting Tao, Ran Fu, Chen Xu, Luoyun |
description | Due to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsistences under complex working conditions. In this paper, a multi-iteration enhanced two-point simple moving average (MI-2P-SMA) method is proposed for sensing error reduction of a WP-SAW reflective delay line water temperature and pressure sensor. This method is improved from the traditional 2P-SMA method for better performance on error reduction. The results show: the MI-2P-SMA method does not change the original characteristics of experimental data; it can reduce relative errors of the WP-SAW reflective delay line water temperature and pressure sensor and has better performance than a traditional 2P-SMA method; it reduces the number of data points and the extent of this reduction is dependent on iteration time. |
doi_str_mv | 10.1109/ACCESS.2021.3065564 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2509076782</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9376976</ieee_id><doaj_id>oai_doaj_org_article_0fddefe7cbb54e8db18d45fba52d35bb</doaj_id><sourcerecordid>2509076782</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-618eb39225e9c260ba41c8280e50e0fc494b9d8a200f39bc148ae2640c622c663</originalsourceid><addsrcrecordid>eNpNUV1LIzEUHWQFRf0FvgT2ebr5nuSxlOoWFMUqfQz5uKNT2kk3mdll_72pI2K4kPtxzrkhp6quCZ4RgvWv-WKxXK9nFFMyY1gKIflJdU6J1DUTTP74lp9VVzlvcTmqtERzXv2bo_txN3T1aoBkhy72aNm_2d5DQPSxXt-XOQxvMaA2JrTaH1L8W0bLlEr5BGH0H5wSFm0Kfr5BG1uk0DPsD0fFMQGyfUCPCXI-Fmvoc0yX1WlrdxmuPu-L6uVm-bz4Xd893K4W87vac6yGWhIFjmlKBWhPJXaWE6-owiAw4NZzzZ0OylKMW6adJ1xZoJJjLyn1UrKLajXphmi35pC6vU3_TbSd-WjE9GpsGjq_A4PbEKCFxjsnOKjgiApctM4KGphwrmj9nLTKJ_wZIQ9mG8fUl-cbKrDGjWwULSg2oXyKOSdov7YSbI6GmckwczTMfBpWWNcTqwOAL4ZmjdSNZO8iR5Dk</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2509076782</pqid></control><display><type>article</type><title>A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Tang, Zhaozhao ; Wu, Wenyan ; Gao, Jinliang ; Luo, Jingting ; Tao, Ran ; Fu, Chen ; Xu, Luoyun</creator><creatorcontrib>Tang, Zhaozhao ; Wu, Wenyan ; Gao, Jinliang ; Luo, Jingting ; Tao, Ran ; Fu, Chen ; Xu, Luoyun</creatorcontrib><description>Due to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsistences under complex working conditions. In this paper, a multi-iteration enhanced two-point simple moving average (MI-2P-SMA) method is proposed for sensing error reduction of a WP-SAW reflective delay line water temperature and pressure sensor. This method is improved from the traditional 2P-SMA method for better performance on error reduction. The results show: the MI-2P-SMA method does not change the original characteristics of experimental data; it can reduce relative errors of the WP-SAW reflective delay line water temperature and pressure sensor and has better performance than a traditional 2P-SMA method; it reduces the number of data points and the extent of this reduction is dependent on iteration time.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2021.3065564</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Bars ; Data points ; Delay lines ; Error reduction ; Internet of Things ; Materials handling ; Multi-iteration ; pressure ; Pressure sensors ; sensor ; Sensors ; Substrates ; surface acoustic wave ; Surface acoustic waves ; temperature ; Temperature sensors ; two-point simple moving average ; Water temperature</subject><ispartof>IEEE access, 2021, Vol.9, p.48236-48243</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-618eb39225e9c260ba41c8280e50e0fc494b9d8a200f39bc148ae2640c622c663</citedby><cites>FETCH-LOGICAL-c408t-618eb39225e9c260ba41c8280e50e0fc494b9d8a200f39bc148ae2640c622c663</cites><orcidid>0000-0002-6814-2131</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9376976$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,778,782,862,2098,4012,27620,27910,27911,27912,54920</link.rule.ids></links><search><creatorcontrib>Tang, Zhaozhao</creatorcontrib><creatorcontrib>Wu, Wenyan</creatorcontrib><creatorcontrib>Gao, Jinliang</creatorcontrib><creatorcontrib>Luo, Jingting</creatorcontrib><creatorcontrib>Tao, Ran</creatorcontrib><creatorcontrib>Fu, Chen</creatorcontrib><creatorcontrib>Xu, Luoyun</creatorcontrib><title>A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor</title><title>IEEE access</title><addtitle>Access</addtitle><description>Due to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsistences under complex working conditions. In this paper, a multi-iteration enhanced two-point simple moving average (MI-2P-SMA) method is proposed for sensing error reduction of a WP-SAW reflective delay line water temperature and pressure sensor. This method is improved from the traditional 2P-SMA method for better performance on error reduction. The results show: the MI-2P-SMA method does not change the original characteristics of experimental data; it can reduce relative errors of the WP-SAW reflective delay line water temperature and pressure sensor and has better performance than a traditional 2P-SMA method; it reduces the number of data points and the extent of this reduction is dependent on iteration time.</description><subject>Bars</subject><subject>Data points</subject><subject>Delay lines</subject><subject>Error reduction</subject><subject>Internet of Things</subject><subject>Materials handling</subject><subject>Multi-iteration</subject><subject>pressure</subject><subject>Pressure sensors</subject><subject>sensor</subject><subject>Sensors</subject><subject>Substrates</subject><subject>surface acoustic wave</subject><subject>Surface acoustic waves</subject><subject>temperature</subject><subject>Temperature sensors</subject><subject>two-point simple moving average</subject><subject>Water temperature</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUV1LIzEUHWQFRf0FvgT2ebr5nuSxlOoWFMUqfQz5uKNT2kk3mdll_72pI2K4kPtxzrkhp6quCZ4RgvWv-WKxXK9nFFMyY1gKIflJdU6J1DUTTP74lp9VVzlvcTmqtERzXv2bo_txN3T1aoBkhy72aNm_2d5DQPSxXt-XOQxvMaA2JrTaH1L8W0bLlEr5BGH0H5wSFm0Kfr5BG1uk0DPsD0fFMQGyfUCPCXI-Fmvoc0yX1WlrdxmuPu-L6uVm-bz4Xd893K4W87vac6yGWhIFjmlKBWhPJXaWE6-owiAw4NZzzZ0OylKMW6adJ1xZoJJjLyn1UrKLajXphmi35pC6vU3_TbSd-WjE9GpsGjq_A4PbEKCFxjsnOKjgiApctM4KGphwrmj9nLTKJ_wZIQ9mG8fUl-cbKrDGjWwULSg2oXyKOSdov7YSbI6GmckwczTMfBpWWNcTqwOAL4ZmjdSNZO8iR5Dk</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Tang, Zhaozhao</creator><creator>Wu, Wenyan</creator><creator>Gao, Jinliang</creator><creator>Luo, Jingting</creator><creator>Tao, Ran</creator><creator>Fu, Chen</creator><creator>Xu, Luoyun</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6814-2131</orcidid></search><sort><creationdate>2021</creationdate><title>A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor</title><author>Tang, Zhaozhao ; Wu, Wenyan ; Gao, Jinliang ; Luo, Jingting ; Tao, Ran ; Fu, Chen ; Xu, Luoyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-618eb39225e9c260ba41c8280e50e0fc494b9d8a200f39bc148ae2640c622c663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bars</topic><topic>Data points</topic><topic>Delay lines</topic><topic>Error reduction</topic><topic>Internet of Things</topic><topic>Materials handling</topic><topic>Multi-iteration</topic><topic>pressure</topic><topic>Pressure sensors</topic><topic>sensor</topic><topic>Sensors</topic><topic>Substrates</topic><topic>surface acoustic wave</topic><topic>Surface acoustic waves</topic><topic>temperature</topic><topic>Temperature sensors</topic><topic>two-point simple moving average</topic><topic>Water temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Zhaozhao</creatorcontrib><creatorcontrib>Wu, Wenyan</creatorcontrib><creatorcontrib>Gao, Jinliang</creatorcontrib><creatorcontrib>Luo, Jingting</creatorcontrib><creatorcontrib>Tao, Ran</creatorcontrib><creatorcontrib>Fu, Chen</creatorcontrib><creatorcontrib>Xu, Luoyun</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Zhaozhao</au><au>Wu, Wenyan</au><au>Gao, Jinliang</au><au>Luo, Jingting</au><au>Tao, Ran</au><au>Fu, Chen</au><au>Xu, Luoyun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2021</date><risdate>2021</risdate><volume>9</volume><spage>48236</spage><epage>48243</epage><pages>48236-48243</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Due to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsistences under complex working conditions. In this paper, a multi-iteration enhanced two-point simple moving average (MI-2P-SMA) method is proposed for sensing error reduction of a WP-SAW reflective delay line water temperature and pressure sensor. This method is improved from the traditional 2P-SMA method for better performance on error reduction. The results show: the MI-2P-SMA method does not change the original characteristics of experimental data; it can reduce relative errors of the WP-SAW reflective delay line water temperature and pressure sensor and has better performance than a traditional 2P-SMA method; it reduces the number of data points and the extent of this reduction is dependent on iteration time.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2021.3065564</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6814-2131</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2169-3536 |
ispartof | IEEE access, 2021, Vol.9, p.48236-48243 |
issn | 2169-3536 2169-3536 |
language | eng |
recordid | cdi_proquest_journals_2509076782 |
source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Bars Data points Delay lines Error reduction Internet of Things Materials handling Multi-iteration pressure Pressure sensors sensor Sensors Substrates surface acoustic wave Surface acoustic waves temperature Temperature sensors two-point simple moving average Water temperature |
title | A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T13%3A22%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Multi-Iteration%20Enhanced%202P-SMA%20Method%20for%20Improved%20Error%20Reduction%20on%20a%20WP-SAW%20Water%20Temperature%20and%20Pressure%20Sensor&rft.jtitle=IEEE%20access&rft.au=Tang,%20Zhaozhao&rft.date=2021&rft.volume=9&rft.spage=48236&rft.epage=48243&rft.pages=48236-48243&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2021.3065564&rft_dat=%3Cproquest_cross%3E2509076782%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2509076782&rft_id=info:pmid/&rft_ieee_id=9376976&rft_doaj_id=oai_doaj_org_article_0fddefe7cbb54e8db18d45fba52d35bb&rfr_iscdi=true |