{"id":42,"date":"2015-10-29T05:24:37","date_gmt":"2015-10-29T05:24:37","guid":{"rendered":"http:\/\/se.kaist.ac.kr\/starlab\/?page_id=42"},"modified":"2015-12-08T07:24:27","modified_gmt":"2015-12-08T07:24:27","slug":"dictionary","status":"publish","type":"page","link":"https:\/\/se.kaist.ac.kr\/starlab\/research\/dictionary\/","title":{"rendered":"Research prototyping"},"content":{"rendered":"<p><strong><span style=\"font-size: x-large;\"> Research prototyping <\/span><\/strong><\/p>\n<p>Existing SoS examples are not clearly explaining the similarities and differences among SoS types.<\/p>\n<p>As a preliminary study, we iteratively do the following tasks.<\/p>\n<p><img src=\"http:\/\/se.kaist.ac.kr\/starlab\/wp-content\/uploads\/2015\/12\/proto.png\" alt=\"\" align=\"center\" \/><\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<p><span style=\"font-size: x-large;\"><strong>Example Scenario: SoS for Mass Casaulty Incident (MCI)<\/strong><\/span><\/p>\n<p><strong>MCI<\/strong> is an\u00a0incident in which medical service resources are overwhelmed by lots of casualties (e.g.: Tianjin explosions, SARS, Daegu subway fire, etc.)<\/p>\n<p>Key entities are,<\/p>\n<ul>\n<li>Goal of SoS: save patients as many as possible<\/li>\n<li>Constituent system (CS): PTS (Patients Transferring System), hospital, etc.<\/li>\n<\/ul>\n<p><img src=\"http:\/\/se.kaist.ac.kr\/starlab\/wp-content\/uploads\/2015\/12\/scenario.png\" alt=\"\" align=\"center\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>So, our simplified MCI scenario is like this.<\/p>\n<ul>\n<li>Goal of CS: PTS is to save more patients in the non-MCI area.<\/li>\n<li>Goal of SoS: SoS is to save more patients in the whole area.<\/li>\n<li>Suddenly, 200 patients are randomly occurred in the MCI area, and 50 patients are randomly occurred in the non-MCI area.<\/li>\n<li>Each patient will be either cared by the PTS or dead with a certain probability.<\/li>\n<\/ul>\n<p>Our modeling subjects are divided into MCI and non-MCI, single CS (PTS) and each patient.<\/p>\n<p>Patents have three states, occurred, cared, or dead.<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>If you have any question, you can ask us by e-mail.<\/p>\n<p>we.are@se.kaist.ac.kr<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research prototyping Existing SoS examples are not clearly explaining the similarities and differences among SoS types. As a preliminary study, we iteratively do the following tasks. &nbsp; &nbsp; Example Scenario: SoS for Mass Casaulty Incident (MCI) MCI is an\u00a0incident in which medical service resources are overwhelmed by lots of casualties (e.g.: Tianjin explosions, SARS, Daegu [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":38,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/pages\/42"}],"collection":[{"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/comments?post=42"}],"version-history":[{"count":8,"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/pages\/42\/revisions"}],"predecessor-version":[{"id":172,"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/pages\/42\/revisions\/172"}],"up":[{"embeddable":true,"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/pages\/38"}],"wp:attachment":[{"href":"https:\/\/se.kaist.ac.kr\/starlab\/wp-json\/wp\/v2\/media?parent=42"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}