{"id":2991,"date":"2024-08-27T17:05:20","date_gmt":"2024-08-27T10:05:20","guid":{"rendered":"https:\/\/www.nstda.or.th\/rmt\/en\/?p=2991"},"modified":"2024-10-27T23:56:09","modified_gmt":"2024-10-27T16:56:09","slug":"rmt-workshop-atmospheric-corrosion-assessment","status":"publish","type":"post","link":"https:\/\/www.nstda.or.th\/rmt\/en\/rmt-workshop-atmospheric-corrosion-assessment\/","title":{"rendered":"PPSTI-APEC, MHESI and MTEC, NSTDA Jointly Hosted APEC Workshop on \u201cAI in Atmospheric Corrosion Assessment to Address Climate Change Impact\u201d"},"content":{"rendered":"

(July 30-31, 2024) At the Auditorium, Sirindhorn Science Home, Thailand Science Park, Pathum Thani, Thailand, the National Metal and Materials Technology Center (MTEC), NSTDA, in collaboration with the APEC Policy Partnership on Science, Technology and Innovation (PPSTI), and the Ministry of Higher Education, Science, Research and Innovation (MHESI), recently hosted the APEC Workshop on \u201cAI in Atmospheric Corrosion Assessment to Address Climate Change Impact.\u201d The event was organized by the Smart Manufacturing and Maintenance Technology (SMM) Research Team, Rail and Modern Transports (RMT) Research Group. Leading the NSTDA delegation in welcoming 10 APEC speakers from 6 APEC member economies (e.g., P.R. China, Japan, the Philippines, Viet Nam, New Zealand, and Thailand), representatives from 5 APEC member economies (e.g., Indonesia, Viet Nam, the Philippines, Peru, and Thailand), and 45 Thai participants were NSTDA President Prof. Dr. Sukit Limpijumnong and MTEC Executive Director Assoc. Prof. Toemsak Srikhirin.<\/p>\n

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Prof. Dr. Sukit Limpijumnong said \u201cClimate change poses a significant challenge, impacting the lifetime and safety of structural steel. Thailand, like many other countries, faces considerable atmospheric corrosion issues. Addressing these challenges requires science, technology, and collaboration. Digital innovation, especially machine learning and deep learning models, is becoming essential tools for achieving effective solutions. If this tool is utilized among APEC members, it will be beneficial for sharing knowledge to effectively control corrosion resulting from climate change.<\/p>\n

This workshop, as part of a project funded by the APEC Policy Partnership on Science, Technology, and Innovation (APEC-PPSTI), serves as a mechanism to enhance capacity and knowledge in this field for representatives from APEC economies. It also provides a platform for exchanging ideas and experiences between researchers and experts, while promoting the establishment of networks for information sharing among stakeholders within APEC member economies.\u201d<\/p>\n

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Assoc. Prof. Toemsak Srikhirin said \u201cMTEC is delighted to welcome distinguished speakers and representatives from APEC economies who have come to exchange and share experiences, as well as initiate new collaborations. This workshop provides a great opportunity for all participants to use this platform to exchange ideas, experiences, and perspectives with the speakers regarding corrosion studies using AI and Machine Learning as predictive tools. Furthermore, it allows for discussions on broader future collaborations in other areas.\u201d<\/p>\n

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The activities included lectures on corrosion rate assessment technology in atmospheric conditions combined with prediction techniques using artificial intelligence, brainstorming sessions to define research collaboration directions, presentations of research on the use of corrosion sensors, and future planning to drive the reduction of carbon dioxide emissions. These efforts leverage the mentioned technologies to reduce corrosion risks and extend the lifespan of steel structures.<\/p>\n

On this occasion, MTEC researchers and Prof. Junhua Dong from the Institute of Metal Research, the Chinese Academy of Sciences (IMR, CAS), P. R. China, presented research outputs under the CAS-NSTDA Joint Research Program on the project entitled \u2018In-situ corrosion monitoring approach based on bi-electrode EIS\/EFM technique and machine learning model and its application in coastal atmospheric environment in China and Thailand\u2019 through lectures and demonstrations of sensor applications along with the Machine Learning model development during the workshop.<\/p>\n\n\n\n
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 <\/p>\n","protected":false},"excerpt":{"rendered":"

RMT was funded from APEC and MHESI to organize \u201cWorkshop on AI in Atmospheric Corrosion Assessment to Address Climate Change Impact\u201d, under APEC\u2019s Policy Partnership for Science, Technology and Innovation (PPSTI) framework. <\/p>\n","protected":false},"author":2,"featured_media":3036,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[201,199,264,198,206],"tags":[261,260,259,262,194],"class_list":["post-2991","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-activities","category-collaboration","category-hilight","category-news-activities","category-206","tag-ai","tag-atmospheric-corrosion-assessment","tag-corrosion","tag-ppsti","tag-rmt"],"_links":{"self":[{"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/posts\/2991","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/comments?post=2991"}],"version-history":[{"count":16,"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/posts\/2991\/revisions"}],"predecessor-version":[{"id":3076,"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/posts\/2991\/revisions\/3076"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/media\/3036"}],"wp:attachment":[{"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/media?parent=2991"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/categories?post=2991"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nstda.or.th\/rmt\/en\/wp-json\/wp\/v2\/tags?post=2991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}