{"id":2448,"date":"2019-10-10T19:11:00","date_gmt":"2019-10-10T11:11:00","guid":{"rendered":"http:\/\/pemsic.eee.nagasaki-u.ac.jp\/?p=2448"},"modified":"2019-10-27T19:15:21","modified_gmt":"2019-10-27T11:15:21","slug":"paper-energy-storage-solution-for-wireless-sensor-network-used-in-bridge-surface-corrosion-monitoring-iet-electronics-letters","status":"publish","type":"post","link":"https:\/\/pemsic.eee.nagasaki-u.ac.jp\/?p=2448","title":{"rendered":"Paper:  &#8220;Energy storage solution for wireless sensor network used in bridge surface corrosion monitoring&#8221;@ IET Electronics Letters"},"content":{"rendered":"\n<p><a href=\"https:\/\/digital-library.theiet.org\/content\/journals\/10.1049\/el.2019.1875;jsessionid=bicums5eos3gs.x-iet-live-01\">https:\/\/digital-library.theiet.org\/content\/journals\/10.1049\/el.2019.1875;jsessionid=bicums5eos3gs.x-iet-live-01<\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Author(s):&nbsp;<\/strong><a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=T.+Fujimoto&amp;option2=author\">T. Fujimoto<\/a><sup>&nbsp;1<\/sup>&nbsp;;&nbsp;<a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=S.+Uto&amp;option2=author\">S. Uto<\/a><sup>&nbsp;1<\/sup>&nbsp;;&nbsp;<a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=Y.+Ishizuka&amp;option2=author\">Y. Ishizuka<\/a><sup>&nbsp;1<\/sup>&nbsp;;&nbsp;<a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=T.+Fujishima&amp;option2=author\">T. Fujishima<\/a><sup>&nbsp;1<\/sup>&nbsp;;&nbsp;<a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=C.-E.+Guan&amp;option2=author\">C.-E. Guan<\/a><sup>&nbsp;1<\/sup>&nbsp;;&nbsp;<a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=T.+Okumatsu&amp;option2=author\">T. Okumatsu<\/a><sup>&nbsp;1<\/sup>&nbsp;;&nbsp;<a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=S.+Sugimoto&amp;option2=author\">S. Sugimoto<\/a><sup>&nbsp;1<\/sup>&nbsp;;&nbsp;<a href=\"https:\/\/digital-library.theiet.org\/search?value1=&amp;option1=all&amp;value2=S.+Iwasaki&amp;option2=author\">S. Iwasaki<\/a><sup>&nbsp;1<\/sup><ul><\/ul><\/li><li><strong>Source:&nbsp;<\/strong><a href=\"https:\/\/digital-library.theiet.org\/content\/journals\/el\/55\/22\">Volume 55, Issue 22<\/a>,&nbsp;31 October 2019,&nbsp;p.&nbsp;1186 \u2013 1188<br><strong><abbr title=\"Digital Object Identifier\">DOI:&nbsp;<\/abbr>&nbsp;<\/strong><a href=\"https:\/\/doi.org\/10.1049\/el.2019.1875\">10.1049\/el.2019.1875<\/a>&nbsp;,&nbsp;<strong><abbr title=\"International Standard Serial Number\">Print ISSN&nbsp;<\/abbr><\/strong>0013-5194,&nbsp;<strong><abbr title=\"Electronic International Standard Serial Number\">Online ISSN&nbsp;<\/abbr><\/strong>1350-911X<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/digital-library.theiet.org\/conte&#8230; <a class=\"more-link\" href=\"https:\/\/pemsic.eee.nagasaki-u.ac.jp\/?p=2448\">Continue Reading &rarr;<\/a><\/p>\n","protected":false},"author":1,"featured_media":2452,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-2448","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-published"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/pemsic.eee.nagasaki-u.ac.jp\/wp-content\/uploads\/2019\/10\/iet-bottom-logo.gif?fit=84%2C48&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p6WRmG-Du","jetpack-related-posts":[{"id":3068,"url":"https:\/\/pemsic.eee.nagasaki-u.ac.jp\/?p=3068","url_meta":{"origin":2448,"position":0},"title":"Full Paper: Mr. Motomatsu &#8220;A Data-Driven Inductor Modeling Technique Using Parametric Circuit Simulation and Deep Learning&#8221;@ IEEE Trans. on Magnetics","author":"","date":"07\/28\/2023","format":false,"excerpt":"T. Motomatsu, T. Koga, N. Shigei, M. 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