{"id":201,"date":"2022-09-03T17:38:28","date_gmt":"2022-09-03T08:38:28","guid":{"rendered":"http:\/\/www.sigemb.jp\/APRIS\/2022\/?page_id=201"},"modified":"2022-10-26T12:56:15","modified_gmt":"2022-10-26T03:56:15","slug":"oral-session","status":"publish","type":"page","link":"https:\/\/www.sigemb.jp\/APRIS\/2022\/?page_id=201","title":{"rendered":"Oral Session"},"content":{"rendered":"\n<h2 class=\"has-black-color has-text-color\">Information for Oral Presenters<\/h2>\n\n\n\n<p>The presentation time will be different based on the type of papers as follows:<br>1. <strong>Regular paper<\/strong>: 15-min presentation &amp; 5-min Q&amp;A<br>2. <strong>WiP paper<\/strong>: 10-min presentation &amp; 5-min Q&amp;A<\/p>\n\n\n\n<h2 class=\"has-black-color has-text-color\">Notes<\/h2>\n\n\n\n<p class=\"has-black-color has-text-color\">1. <em>For all presenters<\/em>, please access the online presentation link 10 mins before the starting time of the session to check the screen sharing. (The link will be announced shortly.)<br>2. <em>For the on-site presenters<\/em>, you may use your own computer. Additionally, please provide your presentation file in USB drive in case of any technical problems.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"has-black-color has-text-color\"><strong>Main Conference DAY1:<br>Nov. 1st (TUE)<\/strong><\/h2>\n\n\n\n<h4>Oral Session A: Programming, Middleware and Scheduling<br><em>Chair: Yutaka Matsubara<\/em><\/h4>\n\n\n\n<figure class=\"wp-block-table\" style=\"font-size:14px\"><table><thead><tr><th><strong>Thailand<\/strong><\/th><th><strong>Malaysia<\/strong><\/th><th><strong>Japan<\/strong><\/th><th><strong>Content<\/strong><\/th><\/tr><\/thead><tbody><tr><td>10:50<\/td><td>11:50<\/td><td>12:50<\/td><td>A1: A React Extension to Context-Oriented Programming towards Developing In-Vehicle Infotainment Systems<br><em>Hiroki Hashimoto, Ikuta Tanigawa, Nobuhiko Ogura and Harumi Watanabe<\/em> <em>(Tokai University, Change Vision, Inc., Tokyo City University)<\/em><\/td><\/tr><tr><td>11:10<\/td><td>12:10<\/td><td>13:10<\/td><td>A2: Chain-Aware Scheduling for Mixed Timer-Driven and Event-Driven DAG Tasks<br><em>Daichi Yamazaki and Takuya Azumi<\/em> <em>(Saitama Univetsity)<\/em><\/td><\/tr><tr><td>11:30<\/td><td>12:30<\/td><td>13:30<\/td><td>A3: Job Pipeline Mechanism of GPU node for Multi-node Edge Computing Systems (MEC)<br><em>Taiki Miyakawa, Li Yanzhi and Midori Sugaya (Shibaura Institute of Technology)<\/em><\/td><\/tr><tr><td>11:50<\/td><td>12:50<\/td><td>13:50<\/td><td>A4: hCT(high-resolution Callback Tracer): Design and implementation of fine-grained instrumentation of Node execution for ROS<br><em>Masato Fukui, Yoichi Ishiwata, Takeshi Ohkawa and Midori Sugaya<\/em> <em>(Shibaura Institute of Technology, Ales K.K., Tokai University)<\/em><\/td><\/tr><tr><td>12:10<\/td><td>13:10<\/td><td>14:10<\/td><td>A5: DDS Binder: Optimizing Inter-node Communication in ROS 2<br><em>Kazuya Ohno, Ren Morita, Katsuya Matsubara and Shoji Suzuki (Future University Hakodate)<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"has-black-color has-text-color\" id=\"block-fc4d458d-7682-4d5e-8d66-b05761c9e532\"><strong>Main Conference DAY2:<br>Nov. 2nd (WED)<\/strong><\/h2>\n\n\n\n<h4 class=\"has-black-color has-text-color\">Oral Session B: Machine Learning and Autonomous Driving<br><em>Chair: Peeraya Sripian<\/em><\/h4>\n\n\n\n<figure class=\"wp-block-table\" style=\"font-size:14px\"><table><thead><tr><th><strong>Thailand<\/strong><\/th><th><strong>Malaysia<\/strong><\/th><th><strong>Japan<\/strong><\/th><th><strong>Content<\/strong><\/th><\/tr><\/thead><tbody><tr><td>11:00<\/td><td>12:00<\/td><td>13:00<\/td><td>B1: (WiP) Skip &amp; Swap: Efficient Weight Spreading for Decentralized Machine Learning with Non-IID Data<br><em>Asato Yamazaki, Takayuki Nishio and Yuko Hara-Azumi (Tokyo Institute of Technology)<\/em><\/td><\/tr><tr><td>11:15<\/td><td>12:15<\/td><td>13:15<\/td><td>B2: Pothole Detection System (PoDS) with Computer Vision and Internet of Things (IoT)<br><em>Pei Koon Gan, Han Yang How, Zi Ying Lee, Zhu On Ho, Ee Qin Ngiow and Hafiz Rashidi Ramli<\/em> <em>(Universiti Putra Malaysia)<\/em><\/td><\/tr><tr><td>11:35<\/td><td>12:35<\/td><td>13:35<\/td><td>B3: Study on Relationship between reward of DQN model and vehicle&#8217;s behavior for autonomous vehicle<br><em>Wasinee Terapaptommakol, Danai Phaoharuhansa, Jartuwat Rajruangrabin and Pramote Koowattanasuchat<\/em> <em>(King Mongkut&#8217;s University of Technology Thonburi, National Science and Technology Development Agency)<\/em><\/td><\/tr><tr><td>11:55<\/td><td>12:55<\/td><td>13:55<\/td><td>B4: Development of Autonomous EV navigated with GNSS and 5G<br><em>Yoschanin Sasiwat, Hiroshi Nakahara, Jerawat Sopajarn, Kittikhun Thongpull, Kiattisak Sengchuai, Apidet Booranawong, Thotsawat Fukiatisut and Nattha Jindapetch (Prince of Songkla University, Geo-Informatics and Space Technology Development Agency)<\/em><\/td><\/tr><tr><td>12:15<\/td><td>13:15<\/td><td>14:15<\/td><td>B5: Obstacle Avoidance System using 2D Lidar for Autonomous Vehicle<br><em>Danai Phaoharuhansa, Natasit Supperm, Kunanont Raksawid and Chanin Kampeewichean (King Mongkut&#8217;s University of Technology Thonburi)<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4>Oral Session C: Robotics and Sensor Measurement and Analysis<br><em>Chair: Tipporn Laohakangvalvit<\/em><\/h4>\n\n\n\n<figure class=\"wp-block-table\" style=\"font-size:14px\"><table><thead><tr><th><strong>Thailand<\/strong><\/th><th><strong>Malaysia<\/strong><\/th><th><strong>Japan<\/strong><\/th><th><strong>Content<\/strong><\/th><\/tr><\/thead><tbody><tr><td>14:00<\/td><td>15:00<\/td><td>16:00<\/td><td>C1: Coordinating ROS-based Robot Control Demonstrations with the Video Playback to Enhance E-learning<br><em>Kouhei Takimoto, Katsuya Matsubara and Shoji Suzuki (Future University Hakodate)<\/em><\/td><\/tr><tr><td>14:20<\/td><td>15:20<\/td><td>16:20<\/td><td>C2: (WiP) Development of Visual SLAM Algorithm in Dynamic Environment<br><em>Pattanapong Saeyong and Kittikhun Thongpull (Prince of Songkla University)<\/em><\/td><\/tr><tr><td>14:35<\/td><td>15:35<\/td><td>16:35<\/td><td>C3: A study of model building methods for mental tasks using EEG<br><em>Kentarou Kanai, Kei Suzuki and Midori Sugaya<\/em> <em>(Shibaura Institute of Technology)<\/em><\/td><\/tr><tr><td>14:55<\/td><td>15:55<\/td><td>16:55<\/td><td>C4: A prototype of multi-modal interaction robot based on emotion estimation method using physiological signals<br><em>Kaoru Suzuki, Takumi Iguchi, Yuri Nakagawa and Midori Sugaya (Shibaura Institute of Technology)<\/em><\/td><\/tr><tr><td>15:15<\/td><td>16:15<\/td><td>17:15<\/td><td>C5: (WiP) A study of a water quality evaluation for seabass culture in cages using data grouping techniques according to culturing areas<br><em>Waritsara Na Lampang and Kiattisak Sengchuai (Prince of songkla university)<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Information for Oral Presenters The presentation time will be different based on the type of papers as follows:1. Regular paper: 15-min presentation &amp; 5-min Q&amp;A2. WiP paper: 10-min presentation &amp; 5-min Q&amp;A Notes 1. For all presenters, please access the online presentation link 10 mins before the starting time of the session to check the &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.sigemb.jp\/APRIS\/2022\/?page_id=201\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Oral Session&#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":[],"_links":{"self":[{"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=\/wp\/v2\/pages\/201"}],"collection":[{"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=201"}],"version-history":[{"count":19,"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=\/wp\/v2\/pages\/201\/revisions"}],"predecessor-version":[{"id":450,"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=\/wp\/v2\/pages\/201\/revisions\/450"}],"wp:attachment":[{"href":"https:\/\/www.sigemb.jp\/APRIS\/2022\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}