{"id":227,"date":"2021-09-15T16:00:57","date_gmt":"2021-09-15T07:00:57","guid":{"rendered":"https:\/\/aidalab.cafe24.com\/?page_id=227"},"modified":"2022-05-27T12:20:20","modified_gmt":"2022-05-27T03:20:20","slug":"machine-learning","status":"publish","type":"page","link":"https:\/\/aida.korea.ac.kr\/?page_id=227","title":{"rendered":""},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Machine Learning<\/h1>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Development of AI-based Project Delay Risk Preview System<\/h2>\n\n\n\n<p><strong>Objective<\/strong><\/p>\n\n\n\n<p>In the construction industry, the construction process is managed based on the completed construction in comparison to the planned construction. With the current construction management system, it is difficult to respond to construction delays in advance, because the construction process rate cannot be estimated quantitatively.<\/p>\n\n\n\n<p><strong>Data<\/strong><\/p>\n\n\n\n<p>Time Series Construction Data, Weather Forecast Data, Construction Budget Data, Extra-Budgetary Report Data, Subcontractor Data<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"665\" height=\"344\" src=\"https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-44.png\" alt=\"\" class=\"wp-image-1708\" srcset=\"https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-44.png 665w, https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-44-300x155.png 300w\" sizes=\"auto, (max-width: 665px) 100vw, 665px\" \/><\/figure><\/div>\n\n\n<p><strong>Related Work<\/strong><\/p>\n\n\n\n<p>Similarity search and performance prediction of shield tunnels in operation through time series data mining (H.Zhu et al, Automation in Construction, 2020)<\/p>\n\n\n\n<p><strong>Proposed Method<\/strong><\/p>\n\n\n\n<p>In this paper, we developed an AI-based warning system that proactively predicts the delay in construction based on the completed construction of the past and additional data such as budget, subcontractor, and weather data.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"421\" src=\"https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-45-1024x421.png\" alt=\"\" class=\"wp-image-1709\" srcset=\"https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-45-1024x421.png 1024w, https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-45-300x123.png 300w, https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-45-768x316.png 768w, https:\/\/aida.korea.ac.kr\/wp-content\/uploads\/2022\/05\/image-45.png 1534w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity is-style-wide\"\/>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning Development of AI-based Project Delay Risk Preview System Objective In the construction industry, the construction process is managed based on the completed construction in comparison to the planned construction. With the current construction management system, it is difficult to respond to construction delays in advance, because the construction process rate cannot be estimated &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/aida.korea.ac.kr\/?page_id=227\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> &#8220;&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-227","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/227","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=227"}],"version-history":[{"count":14,"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/227\/revisions"}],"predecessor-version":[{"id":1791,"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/227\/revisions\/1791"}],"wp:attachment":[{"href":"https:\/\/aida.korea.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}