{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:38:34Z","timestamp":1760240314288,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T00:00:00Z","timestamp":1557446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100015642","name":"Project of Shandong Province Higher Educational Science and Technology Program","doi-asserted-by":"publisher","award":["J18KA325"],"award-info":[{"award-number":["J18KA325"]}],"id":[{"id":"10.13039\/501100015642","id-type":"DOI","asserted-by":"publisher"}]},{"name":"PhD Start-up Fund of Shandong Technology and Business University","award":["BS201810, BS201811"],"award-info":[{"award-number":["BS201810, BS201811"]}]},{"name":"Key Research and Development Projects of Yantai","award":["2018XSCC033"],"award-info":[{"award-number":["2018XSCC033"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61131004, 61174007"],"award-info":[{"award-number":["61131004, 61174007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A novel sparse representation classification method (SRC), namly SRC based on Method of Optimal Directions (SRC_MOD), is proposed for electronic nose system in this paper. By finding both a synthesis dictionary and a corresponding coefficient vector, the i-th class training samples are approximated as a linear combination of a few of the dictionary atoms. The optimal solutions of the synthesis dictionary and coefficient vector are found by MOD. Finally, testing samples are identified by evaluating which class causes the least reconstruction error. The proposed algorithm is evaluated on the analysis of hydrogen, methane, carbon monoxide, and benzene at self-adapted modulated operating temperature. Experimental results show that the proposed method is quite efficient and computationally inexpensive to obtain excellent identification for the target gases.<\/jats:p>","DOI":"10.3390\/s19092173","type":"journal-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T03:57:07Z","timestamp":1557719827000},"page":"2173","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6673-5830","authenticated-orcid":false,"given":"Aixiang","family":"He","sequence":"first","affiliation":[{"name":"School of Information &amp; Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangfen","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Information &amp; Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Yu","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Liaoning for Integrated Circuits Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meihua","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information &amp; Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongzhou","family":"Li","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Liaoning for Integrated Circuits Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenan","family":"Tang","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Liaoning for Integrated Circuits Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1038\/299352a0","article-title":"Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose","volume":"299","author":"Persaud","year":"1982","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1021\/cr068116m","article-title":"Higher-order chemical sensing","volume":"108","author":"Hierlemann","year":"2008","journal-title":"Chem. 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