{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:48:44Z","timestamp":1747216124399,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643684765"},{"type":"electronic","value":"9781643684772"}],"license":[{"start":{"date-parts":[[2024,1,16]],"date-time":"2024-01-16T00:00:00Z","timestamp":1705363200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,16]]},"abstract":"<jats:p>The Thammasat AI City distributed platform is a proposed AI platform designed to enhance city intelligent management. It addresses the limitations of current smart city architecture by incorporating cross-domain data connectivity and machine learning to support comprehensive data collection. In this study, we delve into two main areas, that is, monitoring and visualization of city ambient lighting, and indoor human physical distance tracking. The smart street light monitoring system provides real-time visualization of street lighting status, energy consumption, and maintenance requirement, which helps to optimize energy consumption and maintenance reduction. The indoor camera-based system for human physical distance tracking can be used in public spaces to monitor social distancing and ensure public safety. The overall goal of the platform is to improve the quality of life in urban areas and align with sustainable urban development concepts.<\/jats:p>","DOI":"10.3233\/faia231155","type":"book-chapter","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T09:21:59Z","timestamp":1705483319000},"source":"Crossref","is-referenced-by-count":0,"title":["Thammasat AI City Distributed Platform: Enhancing Social Distribution and Ambient Lighting"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6918-8713","authenticated-orcid":false,"given":"Virach","family":"Sornlertlamvanich","sequence":"first","affiliation":[{"name":"Asia AI Institute (AAII), Faculty of Data Science, Musashino University, Japan"},{"name":"Faculty of Engineering, Thammasat University, Thailand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9577-9082","authenticated-orcid":false,"given":"Thatsanee","family":"Charoenporn","sequence":"additional","affiliation":[{"name":"Asia AI Institute (AAII), Faculty of Data Science, Musashino University, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7647-6345","authenticated-orcid":false,"given":"Somrudee","family":"Deepaisarn","sequence":"additional","affiliation":[{"name":"Sirindhorn International Institute of Technology, Thammasat University, Thailand"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXXV"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231155","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T09:22:24Z","timestamp":1705483344000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231155"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,16]]},"ISBN":["9781643684765","9781643684772"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231155","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"type":"print","value":"0922-6389"},{"type":"electronic","value":"1879-8314"}],"subject":[],"published":{"date-parts":[[2024,1,16]]}}}