{"id":1759,"date":"2023-04-02T21:58:15","date_gmt":"2023-04-03T06:58:15","guid":{"rendered":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/?page_id=1759"},"modified":"2023-04-02T21:58:40","modified_gmt":"2023-04-03T06:58:40","slug":"publication","status":"publish","type":"page","link":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1759\" class=\"elementor elementor-1759\" data-elementor-settings=\"[]\">\n\t\t\t\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-456cac96 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"456cac96\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8dacc47\" data-id=\"8dacc47\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3d9a8e81 elementor-widget elementor-widget-shortcode\" data-id=\"3d9a8e81\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"teachpress_cloud\"><span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"Delete tag as filter\" class=\"teachpress_cloud_active\"><\/a><\/span> <\/div><div class=\"teachpress_filter\"><select class=\"default\" name=\"yr\" id=\"yr\" tabindex=\"2\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?')\">\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All years<\/option>\n                   <option value = \"tgid=&amp;yr=2026&amp;type=&amp;usr=&amp;auth=#tppubs\" >2026<\/option><option value = \"tgid=&amp;yr=2025&amp;type=&amp;usr=&amp;auth=#tppubs\" >2025<\/option><option value = \"tgid=&amp;yr=2024&amp;type=&amp;usr=&amp;auth=#tppubs\" >2024<\/option><option value = \"tgid=&amp;yr=2023&amp;type=&amp;usr=&amp;auth=#tppubs\" >2023<\/option><option value = \"tgid=&amp;yr=2022&amp;type=&amp;usr=&amp;auth=#tppubs\" >2022<\/option><option value = \"tgid=&amp;yr=2021&amp;type=&amp;usr=&amp;auth=#tppubs\" >2021<\/option><option value = \"tgid=&amp;yr=2020&amp;type=&amp;usr=&amp;auth=#tppubs\" >2020<\/option><option value = \"tgid=&amp;yr=2019&amp;type=&amp;usr=&amp;auth=#tppubs\" >2019<\/option><option value = \"tgid=&amp;yr=2018&amp;type=&amp;usr=&amp;auth=#tppubs\" >2018<\/option><option value = \"tgid=&amp;yr=2017&amp;type=&amp;usr=&amp;auth=#tppubs\" >2017<\/option><option value = \"tgid=&amp;yr=2016&amp;type=&amp;usr=&amp;auth=#tppubs\" >2016<\/option><option value = \"tgid=&amp;yr=2015&amp;type=&amp;usr=&amp;auth=#tppubs\" >2015<\/option><option value = \"tgid=&amp;yr=2014&amp;type=&amp;usr=&amp;auth=#tppubs\" >2014<\/option><option value = \"tgid=&amp;yr=2013&amp;type=&amp;usr=&amp;auth=#tppubs\" >2013<\/option><option value = \"tgid=&amp;yr=2012&amp;type=&amp;usr=&amp;auth=#tppubs\" >2012<\/option><option value = \"tgid=&amp;yr=2011&amp;type=&amp;usr=&amp;auth=#tppubs\" >2011<\/option><option value = \"tgid=&amp;yr=2010&amp;type=&amp;usr=&amp;auth=#tppubs\" >2010<\/option><option value = \"tgid=&amp;yr=2009&amp;type=&amp;usr=&amp;auth=#tppubs\" >2009<\/option><option value = \"tgid=&amp;yr=0000&amp;type=&amp;usr=&amp;auth=#tppubs\" >0000<\/option>\n                <\/select><select class=\"default\" name=\"type\" id=\"type\" tabindex=\"3\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?')\">\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All types<\/option>\n                   <option value = \"tgid=&amp;yr=&amp;type=article&amp;usr=&amp;auth=#tppubs\" >Journal Articles<\/option><option value = \"tgid=&amp;yr=&amp;type=conference&amp;usr=&amp;auth=#tppubs\" >Conferences<\/option><option value = \"tgid=&amp;yr=&amp;type=inbook&amp;usr=&amp;auth=#tppubs\" >Book Chapters<\/option><option value = \"tgid=&amp;yr=&amp;type=inproceedings&amp;usr=&amp;auth=#tppubs\" >Inproceedings<\/option><option value = \"tgid=&amp;yr=&amp;type=mastersthesis&amp;usr=&amp;auth=#tppubs\" >Masters Theses<\/option><option value = \"tgid=&amp;yr=&amp;type=misc&amp;usr=&amp;auth=#tppubs\" >Miscellaneous<\/option><option value = \"tgid=&amp;yr=&amp;type=proceedings&amp;usr=&amp;auth=#tppubs\" >Proceedings<\/option><option value = \"tgid=&amp;yr=&amp;type=techreport&amp;usr=&amp;auth=#tppubs\" >Technical Reports<\/option><option value = \"tgid=&amp;yr=&amp;type=workshop&amp;usr=&amp;auth=#tppubs\" >Workshops<\/option>\n                <\/select><select class=\"default\" name=\"auth\" id=\"auth\" tabindex=\"5\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?')\">\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All authors<\/option>\n                   <option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=754#tppubs\" >Akihito, Taya<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=776#tppubs\" >Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=231#tppubs\" >Shunsuke Aoki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=175#tppubs\" >AsifHossainKhanMd<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=232#tppubs\" >AsifHossainKhanMuhammad<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=727#tppubs\" >Subaru Atsumi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=516#tppubs\" >Sang Won Bae<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=253#tppubs\" >D Bollegala<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=251#tppubs\" >Danushka Bollegala<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=229#tppubs\" >Bert Bongers<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=577#tppubs\" >Y. T. Chan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=149#tppubs\" >H Chen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=146#tppubs\" >Hongyang Chen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=433#tppubs\" >Jiehui Chen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=728#tppubs\" >Yifei Chen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=116#tppubs\" >Yin Chen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=120#tppubs\" >Yeonsuk Choi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=738#tppubs\" >Ken Christofferson<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=730#tppubs\" >Kenneth Christofferson<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=15#tppubs\" >Tammy Chung<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=781#tppubs\" >Minhao Cui<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=192#tppubs\" >C Dang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=239#tppubs\" >Congwei Dang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=124#tppubs\" >Y Danmura<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=75#tppubs\" >Anind Dey<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=11#tppubs\" >Anind K Dey<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=652#tppubs\" >Xuefu Dong<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=234#tppubs\" >Zhao Dong<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=654#tppubs\" >Jiameng Du<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=269#tppubs\" >Q Du<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=662#tppubs\" >Nguyen Hong Duc<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=519#tppubs\" >Yusaku Eigen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=763#tppubs\" >Qize Feng<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=704#tppubs\" >Yutong Feng<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=9#tppubs\" >Denzil Ferreira<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=112#tppubs\" >Akio Fujiwara<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=158#tppubs\" >Ryo Fukuhara<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=156#tppubs\" >Shun Fukumoto<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=521#tppubs\" >Herv\u00e9 Glotin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=760#tppubs\" >Xiuwen Gu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=264#tppubs\" >Liu Guangwen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=196#tppubs\" >Hans Christian Haase<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=135#tppubs\" >S H Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=134#tppubs\" >S Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=119#tppubs\" >Sekyung Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=136#tppubs\" >Soo Hee Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=133#tppubs\" >Soohee Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=684#tppubs\" >Tianyang Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=576#tppubs\" >Zengyi Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=178#tppubs\" >Tian HAO<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=259#tppubs\" >Erkki Harjula<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=76#tppubs\" >Simon Harper<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=635#tppubs\" >Kosuke Hatai<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=432#tppubs\" >Binbin He<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=762#tppubs\" >Lixing He<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=230#tppubs\" >Cecilia Heffer<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=634#tppubs\" >Peng Helinyi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=572#tppubs\" >Soichiro Higuma<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=80#tppubs\" >Kei Hiroi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=114#tppubs\" >Kobayashi Hiroki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=227#tppubs\" >Michitaka Hirose<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=707#tppubs\" >Yudai Honma<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=107#tppubs\" >Miku Hoshino<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=248#tppubs\" >Simo Hosio<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=671#tppubs\" >Eri Hosonuma<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=219#tppubs\" >Khan Muhammad Asif Hossain<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=203#tppubs\" >Satoshi Hyuga<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=532#tppubs\" >Masaki Imai<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=183#tppubs\" >Yasuyuki Ishida<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=681#tppubs\" >Riku Ishioka<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=155#tppubs\" >Hiroki Ishizuka<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=653#tppubs\" >Rahul Islam<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=200#tppubs\" >Kyoichi Ito<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=208#tppubs\" >M Ito<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=734#tppubs\" >Manaka Ito<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=69#tppubs\" >Masaki Ito<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=122#tppubs\" >M Iwai<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=121#tppubs\" >Masayuki Iwai<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=181#tppubs\" >Takeshi Iwamoto<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=144#tppubs\" >S Jang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=518#tppubs\" >Serim Jang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=143#tppubs\" >Soohyeong Jang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=757#tppubs\" >Jia, Tang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=222#tppubs\" >Tiantian JIANG<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=204#tppubs\" >Yuya Kamma<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=66#tppubs\" >Valerii Kan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=756#tppubs\" >Kaoru, Sezaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=266#tppubs\" >Sezaki Kaoru<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=665#tppubs\" >Yuki Kasahara<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=220#tppubs\" >Maki Katayama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=81#tppubs\" >Nobuo Kawaguchi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=678#tppubs\" >Yoshihiro Kawahara<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=496#tppubs\" >Genki Kenjo<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=752#tppubs\" >Kenneth, Christofferson<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=250#tppubs\" >Asif Khan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=235#tppubs\" >M A H Khan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=236#tppubs\" >Muhammad Asif Hossain Khan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=534#tppubs\" >Muhammad Asif Khan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=599#tppubs\" >Fuga Kikuchi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=246#tppubs\" >Takefumi Kikusui<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=106#tppubs\" >Tomoya Kitazato<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=96#tppubs\" >Hill Hiroki Kobayashi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=226#tppubs\" >Hiroki Kobayashi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=666#tppubs\" >Yuki Komatsu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=237#tppubs\" >B Kong<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=78#tppubs\" >Shin'ichi Konomi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=210#tppubs\" >Shin\u2019Ichi Konomi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=162#tppubs\" >Shin\u00edchi Konomi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=100#tppubs\" >Hiromi Kudo<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=65#tppubs\" >Elina Kuosmanen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=685#tppubs\" >Takahiko Kusakabe<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=256#tppubs\" >Jose Alvarez Lacasia<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=601#tppubs\" >Kristof Van Laerhoven<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=147#tppubs\" >Xianfu Lei<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=223#tppubs\" >Sang-won Leigh<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=255#tppubs\" >Teemu Lepp\u00e4nen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=252#tppubs\" >Guangwen Li<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=780#tppubs\" >Wenwei Li<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=764#tppubs\" >Yanzhi Li<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=749#tppubs\" >Liqiang, Xu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=145#tppubs\" >Bin Liu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=254#tppubs\" >G Liu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=218#tppubs\" >Guangwen Liu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=705#tppubs\" >Jun Liu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=258#tppubs\" >Meirong Liu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=750#tppubs\" >Lixing, He<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=683#tppubs\" >Suxing Lyu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=245#tppubs\" >Atsuya Makita<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=98#tppubs\" >Ko Makiyama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=731#tppubs\" >Alex Mariakakis<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=103#tppubs\" >K Maruta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=108#tppubs\" >Kazuki Maruta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=706#tppubs\" >Junya Maruyama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=265#tppubs\" >Iwai Masayuki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=202#tppubs\" >Dunstan Matekenya<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=213#tppubs\" >Y Matsuno<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=186#tppubs\" >Oru Mihirogi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=243#tppubs\" >Kosuke Miyazaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=179#tppubs\" >Manabu Miyazaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=582#tppubs\" >Takumi Miyoshi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=498#tppubs\" >Hideki Mori<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=188#tppubs\" >Masato Mori<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=159#tppubs\" >Tatsuya Morita<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=718#tppubs\" >Esteban Moro<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=655#tppubs\" >Raghu Mulukutla<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=517#tppubs\" >Eun-Young Mun<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=677#tppubs\" >Hiroaki Murakami<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=221#tppubs\" >Miho Nagasawa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=97#tppubs\" >Keijiro Nakagawa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=110#tppubs\" >Kazuhiko Nakamura<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=249#tppubs\" >Kazuhiko W Nakamura<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=72#tppubs\" >Yuichi Nakamura<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=531#tppubs\" >Ryutaro Nakata<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=102#tppubs\" >Y Nakayama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=105#tppubs\" >Yu NAKAYAMA<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=117#tppubs\" >Jin Nakazawa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=260#tppubs\" >Pauli N\u00e4rhi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=633#tppubs\" >Hong Duc Nguyen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=101#tppubs\" >Baburam Niraula<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=157#tppubs\" >Tatsuhiro Nishimoto<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=735#tppubs\" >Nobuhiko Nishio<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=70#tppubs\" >Yuuki Nishiyama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=267#tppubs\" >H Niu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=214#tppubs\" >Hao Niu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=263#tppubs\" >Timo Ojala<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=686#tppubs\" >Kazusato Oko<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=115#tppubs\" >Tadashi Okoshi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=580#tppubs\" >Shota Ono<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=701#tppubs\" >Ayaka Onodera<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=225#tppubs\" >Ann Paradiso<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=663#tppubs\" >Helinyi Peng<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=40#tppubs\" >Alex Pentland<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=228#tppubs\" >Conor Peterson<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=182#tppubs\" >Susanna Pirttikangas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=152#tppubs\" >H V Poor<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=578#tppubs\" >H. Vincent Poor<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=523#tppubs\" >Marion Poupard<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=785#tppubs\" >Lili Qiu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=257#tppubs\" >Archana Ramalingam<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=148#tppubs\" >Fengyuan Ren<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=262#tppubs\" >Jukka Riekki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=522#tppubs\" >Vincent Roger<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=224#tppubs\" >Asta Roseway<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=420#tppubs\" >ben Ruktantichoke<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=113#tppubs\" >Kaoru Saito<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=197#tppubs\" >Tomohiro SAKAMAKI<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=520#tppubs\" >Wataru Sasaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=99#tppubs\" >Yuta Sasaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=247#tppubs\" >Tomoyo Sasao<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=717#tppubs\" >Yoshihide Sekimoto<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=92#tppubs\" >K Sezaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=71#tppubs\" >Kaoru Sezaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=150#tppubs\" >Q Shi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=163#tppubs\" >Ryosuke Shibasaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=533#tppubs\" >Ryousuke Shibasaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=240#tppubs\" >K Shimizu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=716#tppubs\" >Toru Shimizu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=667#tppubs\" >Kazuki Shimojo<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=679#tppubs\" >Masamichi Shimosaka<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=524#tppubs\" >Daisuk\u00e9 Shimotoku<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=530#tppubs\" >Yoh Shiraishi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=68#tppubs\" >Chenwei Song<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=16#tppubs\" >Brian Suffoletto<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=160#tppubs\" >Keiji Sugo<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=676#tppubs\" >Issey Sukeda<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=268#tppubs\" >L Sun<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=216#tppubs\" >Li Sun<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=212#tppubs\" >Yao SUN<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=682#tppubs\" >Ryoto Suzuki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=206#tppubs\" >Takao Suzuki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=733#tppubs\" >Kato Takaaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=151#tppubs\" >R Tan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=759#tppubs\" >Jia Tang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=238#tppubs\" >X Tang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=244#tppubs\" >Keishi Tanimoto<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=702#tppubs\" >Akihito Taya<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=161#tppubs\" >Niwat Thepvilojanapong<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=205#tppubs\" >Jiang Tiantian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=194#tppubs\" >Y Tobe<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=164#tppubs\" >Yoshito Tobe<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=118#tppubs\" >Hideyuki Tokuda<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=778#tppubs\" >Tong\u2005Xing<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=189#tppubs\" >Hideyuki Touda<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=680#tppubs\" >Kota Tsubouchi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=104#tppubs\" >T Tsutsumi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=109#tppubs\" >Takuya Tsutsumi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=193#tppubs\" >K Umeda<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=187#tppubs\" >Kazunori Umeda<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=201#tppubs\" >Keisuke Umezawa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=608#tppubs\" >Hidenaga Ushijima<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=217#tppubs\" >Athanasios Vasilakos<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=73#tppubs\" >Julio Vega<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=74#tppubs\" >Aku Visuri<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=123#tppubs\" >A Wada<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=209#tppubs\" >Kazuki Wakasa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=726#tppubs\" >En Wang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=744#tppubs\" >Jie Wang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=729#tppubs\" >Yuntao Wang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=732#tppubs\" >Zhenbo Wang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=782#tppubs\" >Zilong Wang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=111#tppubs\" >Ryuichi Watanabe<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=600#tppubs\" >Florian Wolling<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=242#tppubs\" >Xing Xie<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=786#tppubs\" >Jie Xiong<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=711#tppubs\" >Gu Xiuwen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=758#tppubs\" >Xiuwen, Gu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=669#tppubs\" >Liqiang Xu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=748#tppubs\" >Xuefu, Dong<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=715#tppubs\" >Takahiro Yabe<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=185#tppubs\" >Yasunori Yakiyama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=581#tppubs\" >Taku Yamazaki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=753#tppubs\" >Yifei, Chen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=261#tppubs\" >Jani Ylioja<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=184#tppubs\" >Hiroyuki Yokoyama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=79#tppubs\" >Takuro Yonezawa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=743#tppubs\" >Mohan Yu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=241#tppubs\" >Nicholas Jing Yuan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=180#tppubs\" >Jun\u00edchi Yura<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=784#tppubs\" >Nishiyama Yuuki<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=755#tppubs\" >Yuuki, Nishiyama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=751#tppubs\" >Zengyi, Han<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=783#tppubs\" >Lupeng Zhang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=351#tppubs\" >Ruichao Zhang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=233#tppubs\" >Yunlong Zhao<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=710#tppubs\" >Wang Zhenbo<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=215#tppubs\" >Nanhao Zhu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=725#tppubs\" >Zhen Zhu<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=670#tppubs\" >Haoyu Zhuang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=590#tppubs\" >\u30ab\u30af\u30c6\u30f3<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=316#tppubs\" >\u30c6\u30fc\u30d7\u30a6\u30a3\u30ed\u30fc\u30b8\u30e3\u30ca\u30dd\u30f3\u30cb\u30ef\u30c3\u30c8<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=641#tppubs\" >\u30b7\u30eb\u30d0\u30fc\u30b9\u30c8\u30f3 \u30c8\u30fc\u30de\u30b9<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=585#tppubs\" >\u4e09\u597d\u5320<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=714#tppubs\" >\u4e0b\u5742\u6b63\u502b<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=661#tppubs\" >\u4e0b\u6761\u548c\u6689<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=336#tppubs\" >\u4e2d\u5c71\u60a0<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=569#tppubs\" >\u4e2d\u5d8b\u7d00\u592b<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=475#tppubs\" >\u4e2d\u5ddd\u6176\u6b21\u90ce<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=739#tppubs\" >\u4e2d\u6751\u4ec1\u54c9<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=331#tppubs\" >\u4e2d\u6751\u548c\u5f66<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=573#tppubs\" >\u4e2d\u6751\u76f4\u4eba<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=330#tppubs\" >\u4e2d\u6751\u88d5\u4e00<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=342#tppubs\" >\u4e2d\u6fa4\u4ec1<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=622#tppubs\" >\u4e2d\u7e01\u55e3<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=337#tppubs\" >\u4e38\u7530\u4e00\u8f1d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=777#tppubs\" >\u4e95\u4e0a\u98af\u6597<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=574#tppubs\" >\u4eca\u4e95\u5927\u6a39<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=349#tppubs\" >\u4f0a\u85e4\u5321\u4e00<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=708#tppubs\" >\u4f0a\u85e4\u611b\u9999<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=325#tppubs\" >\u4f0a\u85e4\u660c\u6bc5<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=544#tppubs\" >\u4f50\u3005\u6728\u822a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=598#tppubs\" >\u4f55\u658c\u658c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=589#tppubs\" >\u515a\u8061\u7dad<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=358#tppubs\" >\u524d\u5ddd\u96c4\u7950<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=367#tppubs\" >\u5289\u5e83\u5927<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=311#tppubs\" >\u5289\u5e83\u6587<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=374#tppubs\" >\u52a0\u85e4\u5b97\u8096<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=359#tppubs\" >\u52a0\u85e4\u5f18\u5247<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=631#tppubs\" >\u52a0\u85e4\u8cb4\u662d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=712#tppubs\" >\u5317\u68ee\u8fea\u8036<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=345#tppubs\" >\u5317\u91cc\u77e5\u4e5f<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=737#tppubs\" >\u4e09\u597d \u5320<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=709#tppubs\" >\u539a\u898b\u6634<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=343#tppubs\" >\u5408\u9593\u512a\u967d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=550#tppubs\" >\u5742\u672c\u656c\u592a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=688#tppubs\" >\u576a\u5185\u5b5d\u592a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=742#tppubs\" >\u576a\u5185\u8003\u592a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=338#tppubs\" >\u5824\u5353\u4e5f<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=560#tppubs\" >\u585a\u539f\u76f4\u6a39<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=628#tppubs\" >\u5869\u7530\u7434\u7f8e<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=332#tppubs\" >\u5927\u585a\u5553\u592a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=697#tppubs\" >\u5927\u585a\u7406\u6075\u5b50<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=579#tppubs\" >\u5927\u5cf6\u4e00\u5c06<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=479#tppubs\" >\u5927\u77f3\u5eb7\u6674<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=341#tppubs\" >\u5927\u8d8a\u5321<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=355#tppubs\" >\u592a\u7530\u6052\u5e73<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=551#tppubs\" >\u5965\u91ce\u6df3\u4e5f<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=320#tppubs\" >\u5bae\u5d0e\u5b66<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=131#tppubs\" >\u5bae\u5d0e\u7d14<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=354#tppubs\" >\u5bae\u5d0e\u8015\u8f14<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=741#tppubs\" >\u5c0f\u5d8b\u512a\u672a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=664#tppubs\" >\u5c0f\u677e\u52c7\u8f1d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=606#tppubs\" >\u5c0f\u677e\u5bdb\u5f25<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=327#tppubs\" >\u5c0f\u6797\u4e98<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=334#tppubs\" >\u5c0f\u6797\u535a\u6a39<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=596#tppubs\" >\u5c0f\u6797\u6b63\u5178<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=659#tppubs\" >\u5c0f\u6c60\u512a\u592a\u90ce<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=699#tppubs\" >\u5c0f\u91ce\u5bfa\u6587\u9999<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=480#tppubs\" >\u5c0f\u91ce\u667a\u5f18<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=583#tppubs\" >\u5c0f\u91ce\u7fd4\u591a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=605#tppubs\" >\u5c71\u4e0b\u9678<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=584#tppubs\" >\u5c71\u5d0e\u8a17<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=645#tppubs\" >\u5c71\u672c\u5dba<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=481#tppubs\" >\u5c71\u672c\u76f4\u4eba<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=625#tppubs\" >\u5c71\u7530\u4f51\u4eae<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=553#tppubs\" >\u5ca1\u7530\u8b19\u543e<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=130#tppubs\" >\u5ca9\u4e95\u5c06\u884c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=592#tppubs\" >\u5ca9\u672c\u5065\u55e3<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=607#tppubs\" >\u5ddd\u539f\u572d\u535a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=329#tppubs\" >\u5de5\u85e4\u5c0a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=637#tppubs\" >\u5e61\u4e95\u7693\u4ecb<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=575#tppubs\" >\u5e73\u5c71\u967d\u5f66<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=357#tppubs\" >\u5e73\u672c\u6e05\u5fd7<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=353#tppubs\" >\u5ee3\u7551\u5065\u4e5f<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=484#tppubs\" >\u5f90\u8607\u658c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=558#tppubs\" >\u5fb3\u7530\u82f1\u5e78<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=132#tppubs\" >\u6238\u8fba\u7fa9\u4eba<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=335#tppubs\" >\u658e\u85e4\u99a8<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=346#tppubs\" >\u65e5\u5411\u6167<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=492#tppubs\" >\u65e5\u9688\u58ee\u4e00\u90ce<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=348#tppubs\" >\u661f\u91ce\u5149\u7396<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=642#tppubs\" >\u6728\u53e3\u88d5\u592a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=128#tppubs\" >\u6728\u5be6\u65b0\u4e00<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=556#tppubs\" >\u6728\u7530\u88d5\u4e00\u6717<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=545#tppubs\" >\u672c\u6728\u60a0\u4ecb<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=643#tppubs\" >\u6749\u5c71\u5065<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=478#tppubs\" >\u6749\u672c\u76f4\u4e5f<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=319#tppubs\" >\u674e\u7d99<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=651#tppubs\" >\u6751\u4e0a\u5f18\u6643<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=630#tppubs\" >\u6771\u6d77\u6797\u7950\u5b50<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=593#tppubs\" >\u677e\u539f\u4fca\u592a\u6717<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=463#tppubs\" >\u677e\u91ce\u6709\u5f25<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=308#tppubs\" >\u67f3\u539f\u6b63<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=324#tppubs\" >\u67f4\u5d0e\u4eae\u4ecb<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=621#tppubs\" >\u67ff\u91ce\u512a\u8863<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=339#tppubs\" >\u6804\u5143\u512a\u4f5c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=347#tppubs\" >\u6885\u6ca2\u5553\u4f51<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=317#tppubs\" >\u6885\u7530\u548c\u6607<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=626#tppubs\" >\u68ee\u5c06\u8f1d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=328#tppubs\" >\u68ee\u5ddd\u535a\u4e4b<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=356#tppubs\" >\u68ee\u6176\u592a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=477#tppubs\" >\u68ee\u82f1\u8a18<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=693#tppubs\" >\u6a2b\u5c71\u6b66\u6d69<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=627#tppubs\" >\u6c34\u9ce5\u5bff\u601d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=476#tppubs\" >\u6c38\u6fa4\u7f8e\u4fdd<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=629#tppubs\" >\u6c38\u91ce\u667a\u4e45<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=597#tppubs\" >\u6c5f\u53e3\u6d0b\u5e73<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=499#tppubs\" >\u6c5f\u751c\u751c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=314#tppubs\" >\u6c6a\u5c11\u54f2<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=375#tppubs\" >\u6e05\u6c34\u4eae<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=309#tppubs\" >\u6e05\u6c34\u548c\u4eba<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=310#tppubs\" >\u6fa4\u4e0a\u4f73\u5e0c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=141#tppubs\" >\u702c\u5d0e\u85ab<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=315#tppubs\" >\u713c\u5c71\u5eb7\u793c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=646#tppubs\" >\u7247\u7530\u5bdb\u5fd7<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=493#tppubs\" >\u725b\u5cf6\u79c0\u66a2<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=454#tppubs\" >\u7267\u5c71\u7d18<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=703#tppubs\" >\u738b\u632f\u535a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=647#tppubs\" >\u7530\u4e2d\u826f\u660e<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=698#tppubs\" >\u7530\u8c37\u662d\u4ec1<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=567#tppubs\" >\u767d\u77f3\u967d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=557#tppubs\" >\u7686\u5ddd\u6607\u5b50<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=129#tppubs\" >\u77f3\u585a\u5b8f\u7d00<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=687#tppubs\" >\u77f3\u5ca1\u9678<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=554#tppubs\" >\u77f3\u6fa4\u53cb\u6d69<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=350#tppubs\" >\u77f3\u7530\u5e78\u8f1d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=591#tppubs\" >\u77f3\u7530\u6cf0\u4e4b<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=549#tppubs\" >\u795e\u6751\u6f64<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=176#tppubs\" >\u798f\u539f\u907c<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=322#tppubs\" >\u798f\u672c\u99ff<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=644#tppubs\" >\u7acb\u5ca1\u4fca<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=660#tppubs\" >\u7b20\u539f\u6709\u8cb4<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=689#tppubs\" >\u7d30\u6cbc\u6075\u91cc<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=624#tppubs\" >\u7fbd\u67f4\u5f69\u6708<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=774#tppubs\" >\u829d\u585a\u80b2\u5927<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=690#tppubs\" >\u8358\u660a\u6631<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=586#tppubs\" >\u83ca\u5730\u98a8\u96c5<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=773#tppubs\" >\u8463\u5b66\u752b<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=273#tppubs\" >\u702c\u5d0e \u85ab<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=333#tppubs\" >\u85e4\u539f\u7ae0\u96c4<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=775#tppubs\" >\u85e4\u91cd\u51f1\u4eba<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=561#tppubs\" >\u860a\u9f8d\u8d99<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=485#tppubs\" >\u897f\u4e95\u9999\u7e54<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=713#tppubs\" >\u897f\u5c3e\u4fe1\u5f66<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=340#tppubs\" >\u897f\u5c71\u52c7\u6bc5<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=323#tppubs\" >\u897f\u672c\u9f8d\u5f18<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=595#tppubs\" >\u897f\u8c37\u54f2<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=474#tppubs\" >\u898b\u751f\u5143\u6c17<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=736#tppubs\" >\u5c71\u5d0e \u8a17<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=352#tppubs\" >\u8c37\u672c\u572d\u5fd7<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=326#tppubs\" >\u8fd1\u85e4\u4eae\u78e8<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=559#tppubs\" >\u8fd1\u85e4\u7d00\u5b50<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=555#tppubs\" >\u9152\u4e95\u76f4\u6a39<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=139#tppubs\" >\u9152\u5dfb\u667a\u5b8f<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=366#tppubs\" >\u91cd\u7530\u822a\u5e73<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=623#tppubs\" >\u91ce\u7530\u60a0\u52a0<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=594#tppubs\" >\u9234\u6728\u4eae\u5e73<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=648#tppubs\" >\u9234\u6728\u51cc\u6597<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=344#tppubs\" >\u9234\u6728\u5b5d\u7537<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=694#tppubs\" >\u95a2\u672c\u7fa9\u79c0<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=587#tppubs\" >\u9673\u7d05\u967d<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=636#tppubs\" >\u9673\u7f8e\u6021<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=312#tppubs\" >\u9752\u6728\u4fca\u4ecb<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=483#tppubs\" >\u9752\u6728\u4fe1\u592b<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=691#tppubs\" >\u97d3\u5897\u6613<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=724#tppubs\" >\u9867\u4fee\u805e<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=772#tppubs\" >\u9ad8\u5929<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=482#tppubs\" >\u9d5c\u98fc\u7950\u592a<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=568#tppubs\" >\u9f4b\u85e4\u4fee<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=692#tppubs\" >\u9f90\u5ca9\u535a<\/option>\n                <\/select><\/div><\/form><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">437 entries<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 of 9 <a href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"next page\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?limit=9&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"last page\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2026\">2026<\/h3><h3 class=\"tp_h3\" id=\"tp_h3_Journal Articles\">Journal Articles<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">1.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Helinyi Peng, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">AEDHunter: Investigating AED Retrieval in the Real World via Gamified Mobile Interaction and Sensing <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_type\" style=\"background-color:gray;\">To Appear<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), <\/span><span class=\"tp_pub_additional_volume\">10 <\/span><span class=\"tp_pub_additional_number\">(19), <\/span><span class=\"tp_pub_additional_pages\">pp. 1 - 30, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_657\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('657','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_657\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('657','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3789689\" title=\"https:\/\/dl.acm.org\/doi\/10.1145\/3789689\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_657\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {AEDHunter: Investigating AED Retrieval in the Real World via Gamified Mobile Interaction and Sensing},<br \/>\r\nauthor = {Helinyi Peng and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/dl.acm.org\/doi\/10.1145\/3789689},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-10-11},<br \/>\r\nurldate = {2026-10-11},<br \/>\r\njournal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)},<br \/>\r\nvolume = {10},<br \/>\r\nnumber = {19},<br \/>\r\npages = {1 - 30},<br \/>\r\nabstract = {Early defibrillation significantly improves survival rates in cases of out-of-hospital cardiac arrest. However, limited public awareness of Automated External Defibrillator (AED) locations constrains their effective use. Existing solutions, such as static 2D maps, often fall short in urgent or complex real-world scenarios. To address this challenge, we developed AEDHunter, a gamified, location-based mobile application designed to transform AED retrieval into an engaging and repeatable practice experience. Leveraging smartphone sensors to analyze participants' movement and learning patterns, and using low-cost Bluetooth tags to verify arrivals at AED locations, AEDHunter guides users through multiple sessions of AED discovery. In a real-world evaluation study, participants significantly reduced their AED retrieval times after repeated practice sessions and reported increased confidence in locating AEDs. Additionally, we employ a two-state activity detector to identify \u201cexploratory pauses\u201d, which are then used as a behavioral learning signal to quantify hesitation and its progressive reduction through practice. Our findings suggest that gamified applications like AEDHunter can improve AED retrieval performance through repeated, in-situ training and enhance self-reported preparedness, offering design insights for technology-supported learning and public safety applications.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('657','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_657\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Early defibrillation significantly improves survival rates in cases of out-of-hospital cardiac arrest. However, limited public awareness of Automated External Defibrillator (AED) locations constrains their effective use. Existing solutions, such as static 2D maps, often fall short in urgent or complex real-world scenarios. To address this challenge, we developed AEDHunter, a gamified, location-based mobile application designed to transform AED retrieval into an engaging and repeatable practice experience. Leveraging smartphone sensors to analyze participants&#039; movement and learning patterns, and using low-cost Bluetooth tags to verify arrivals at AED locations, AEDHunter guides users through multiple sessions of AED discovery. In a real-world evaluation study, participants significantly reduced their AED retrieval times after repeated practice sessions and reported increased confidence in locating AEDs. Additionally, we employ a two-state activity detector to identify \u201cexploratory pauses\u201d, which are then used as a behavioral learning signal to quantify hesitation and its progressive reduction through practice. Our findings suggest that gamified applications like AEDHunter can improve AED retrieval performance through repeated, in-situ training and enhance self-reported preparedness, offering design insights for technology-supported learning and public safety applications.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('657','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_Conferences\">Conferences<\/h3><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">2.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u4e95\u4e0a\u98af\u6597, \u4f0a\u85e4\u660c\u6bc5, \u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">\u4eac\u90fd\u5e02\u56db\u6761\u901a\u306b\u304a\u3051\u308b\u9053\u8def\u518d\u914d\u5206\u653f\u7b56\u304c\u4ea4\u901a\u9700\u8981\u30fb\u30d0\u30b9\u904b\u884c\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u8a55\u4fa1 <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7814\u7a76\u5831\u544a\u9ad8\u5ea6\u4ea4\u901a\u30b7\u30b9\u30c6\u30e0\u3068\u30b9\u30de\u30fc\u30c8\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\uff08ITS\uff09, <\/span><span class=\"tp_pub_additional_volume\">2026-ITS-104 <\/span><span class=\"tp_pub_additional_number\">(4), <\/span><span class=\"tp_pub_additional_publisher\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u5ca1\u5c71, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_659\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('659','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_659\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('659','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_659\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokey,<br \/>\r\ntitle = {\u4eac\u90fd\u5e02\u56db\u6761\u901a\u306b\u304a\u3051\u308b\u9053\u8def\u518d\u914d\u5206\u653f\u7b56\u304c\u4ea4\u901a\u9700\u8981\u30fb\u30d0\u30b9\u904b\u884c\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u8a55\u4fa1},<br \/>\r\nauthor = {\u4e95\u4e0a\u98af\u6597 and \u4f0a\u85e4\u660c\u6bc5 and \u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-03-04},<br \/>\r\nurldate = {2026-02-25},<br \/>\r\nbooktitle = {\u7814\u7a76\u5831\u544a\u9ad8\u5ea6\u4ea4\u901a\u30b7\u30b9\u30c6\u30e0\u3068\u30b9\u30de\u30fc\u30c8\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\uff08ITS\uff09},<br \/>\r\nvolume = {2026-ITS-104},<br \/>\r\nnumber = {4},<br \/>\r\npages = {1-6},<br \/>\r\npublisher = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a},<br \/>\r\naddress = {\u5ca1\u5c71},<br \/>\r\nabstract = {\u9053\u8def\u7a7a\u9593\u306e\u518d\u914d\u5206\u306b\u3088\u308a\u8eca\u7dda\u304c\u6e1b\u5c11\u3057\u3066\u3082\uff0c\u4ea4\u901a\u624b\u6bb5\u306e\u5206\u6563\u304c\u751f\u3058\u308b\u3053\u3068\u3067\u81ea\u52d5\u8eca\u4ea4\u901a\u306f\u9577\u671f\u7684\u306b\u60aa\u5316\u3057\u306b\u304f\u3044\u3068\u5831\u544a\u3055\u308c\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\u4eac\u90fd\u5e02\u56db\u6761\u901a\u3067\u306f\uff0c\u5730\u4e0b\u9244\u306a\u3069\u3078\u306e\u4ee3\u66ff\u624b\u6bb5\u3078\u306e\u79fb\u884c\u304c\u9650\u5b9a\u7684\u3067\u3042\u308a\uff0c\u9053\u8def\u7a7a\u9593\u518d\u914d\u5206\u304c\u30d0\u30b9\u306e\u6e0b\u6ede\u30fb\u9045\u5ef6\u306b\u3064\u306a\u304c\u3063\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0c\u6574\u5099\u524d\u5f8c\u306e\u4ea4\u901a\u91cf\u30fb\u901f\u5ea6\u306a\u3069\u306e\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u56db\u6761\u901a\u306e\u4ea4\u901a\u72b6\u614b\u306e\u63a8\u79fb\u3092\u5206\u6790\u3059\u308b\u3068\u3068\u3082\u306b\uff0c\u5b9f\u6e2c\u30c7\u30fc\u30bf\u3092\u57fa\u306b\u69cb\u7bc9\u3057\u305f\u4ea4\u901a\u6d41\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\uff0c\u8eca\u7dda\u524a\u6e1b\u304c\u30d0\u30b9\u904b\u884c\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3092\u8a55\u4fa1\u3059\u308b\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('659','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_659\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u9053\u8def\u7a7a\u9593\u306e\u518d\u914d\u5206\u306b\u3088\u308a\u8eca\u7dda\u304c\u6e1b\u5c11\u3057\u3066\u3082\uff0c\u4ea4\u901a\u624b\u6bb5\u306e\u5206\u6563\u304c\u751f\u3058\u308b\u3053\u3068\u3067\u81ea\u52d5\u8eca\u4ea4\u901a\u306f\u9577\u671f\u7684\u306b\u60aa\u5316\u3057\u306b\u304f\u3044\u3068\u5831\u544a\u3055\u308c\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\u4eac\u90fd\u5e02\u56db\u6761\u901a\u3067\u306f\uff0c\u5730\u4e0b\u9244\u306a\u3069\u3078\u306e\u4ee3\u66ff\u624b\u6bb5\u3078\u306e\u79fb\u884c\u304c\u9650\u5b9a\u7684\u3067\u3042\u308a\uff0c\u9053\u8def\u7a7a\u9593\u518d\u914d\u5206\u304c\u30d0\u30b9\u306e\u6e0b\u6ede\u30fb\u9045\u5ef6\u306b\u3064\u306a\u304c\u3063\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0c\u6574\u5099\u524d\u5f8c\u306e\u4ea4\u901a\u91cf\u30fb\u901f\u5ea6\u306a\u3069\u306e\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u56db\u6761\u901a\u306e\u4ea4\u901a\u72b6\u614b\u306e\u63a8\u79fb\u3092\u5206\u6790\u3059\u308b\u3068\u3068\u3082\u306b\uff0c\u5b9f\u6e2c\u30c7\u30fc\u30bf\u3092\u57fa\u306b\u69cb\u7bc9\u3057\u305f\u4ea4\u901a\u6d41\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\uff0c\u8eca\u7dda\u524a\u6e1b\u304c\u30d0\u30b9\u904b\u884c\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3092\u8a55\u4fa1\u3059\u308b\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('659','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">3.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">\u78ba\u7387\u7684\u30bf\u30b9\u30af\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u4fdd\u8b77\u3092\u8003\u616e\u3057\u305f\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u901a\u4fe1\u306e\u8981\u4ef6\u691c\u8a0e <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bb\u30f3\u30b5\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u30e2\u30d0\u30a4\u30eb\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u7814\u7a76\u4f1a\uff08SeMI\uff09, SeMI2025-62, <\/span><span class=\"tp_pub_additional_publisher\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u7531\u5e03, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_663\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('663','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_663\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokey,<br \/>\r\ntitle = {\u78ba\u7387\u7684\u30bf\u30b9\u30af\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u4fdd\u8b77\u3092\u8003\u616e\u3057\u305f\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u901a\u4fe1\u306e\u8981\u4ef6\u691c\u8a0e},<br \/>\r\nauthor = {\u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-01-23},<br \/>\r\nurldate = {2026-01-23},<br \/>\r\nbooktitle = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bb\u30f3\u30b5\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u30e2\u30d0\u30a4\u30eb\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u7814\u7a76\u4f1a\uff08SeMI\uff09, SeMI2025-62},<br \/>\r\npublisher = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a},<br \/>\r\naddress = {\u7531\u5e03},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('663','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_Inproceedings\">Inproceedings<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">4.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Xuefu Dong, Wenwei Li, Minhao Cui, Zilong Wang, Lupeng Zhang, Akihito Taya, Nishiyama Yuuki, Kaoru Sezaki, Lili Qiu, Jie Xiong<\/p><p class=\"tp_pub_title\">From a Point to Hundreds: Embracing LiDAR on Commodity Smartphones for Fine-grained Pulmonary Function Sensing <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <span class=\"tp_pub_label_status forthcoming\">Forthcoming<\/span><span class=\"tp_pub_type\" style=\"background-color:gray;\">To Appear<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">In Proceedings of the ACM\/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems (SenSys \u201926), <\/span><span class=\"tp_pub_additional_address\">Saint-Malo, France, <\/span>Forthcoming.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_665\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('665','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_665\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{nokey,<br \/>\r\ntitle = {From a Point to Hundreds: Embracing LiDAR on Commodity Smartphones for Fine-grained Pulmonary Function Sensing},<br \/>\r\nauthor = {Xuefu Dong and Wenwei Li and Minhao Cui and Zilong Wang and Lupeng Zhang and Akihito Taya and Nishiyama Yuuki and Kaoru Sezaki and Lili Qiu and Jie Xiong},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-05-11},<br \/>\r\nurldate = {2026-05-11},<br \/>\r\nbooktitle = {In Proceedings of the ACM\/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems (SenSys \u201926)},<br \/>\r\naddress = {Saint-Malo, France},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {forthcoming},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('665','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">5.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Yanzhi Li, Qize Feng, Xuefu Dong, Yuuki Nishiyama, Akihito Taya, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Estimation of the Center of Pressure Using Head Position During Balance Maintenance <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proc. 8th International Conference on Activity and Behavior Computing, <\/span><span class=\"tp_pub_additional_address\">Muroran &amp; Hakodate, Hokkaido, Japan, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_658\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('658','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_658\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{nokey,<br \/>\r\ntitle = {Estimation of the Center of Pressure Using Head Position During Balance Maintenance},<br \/>\r\nauthor = {Yanzhi Li and Qize Feng and Xuefu Dong and Yuuki Nishiyama and Akihito Taya and Kaoru Sezaki},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-03-10},<br \/>\r\nurldate = {2026-03-10},<br \/>\r\nbooktitle = {Proc. 8th International Conference on Activity and Behavior Computing},<br \/>\r\naddress = {Muroran & Hakodate, Hokkaido, Japan},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('658','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">6.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">A Mechanical Wi-Fi Antenna Device for Automatic Orientation Tuning with Bayesian Optimization <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proc. IEEE Consumer Communications &amp; Networking Conference 2026, <\/span><span class=\"tp_pub_additional_address\">Las Vegas, NV, USA, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_664\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('664','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_664\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{nokey,<br \/>\r\ntitle = {A Mechanical Wi-Fi Antenna Device for Automatic Orientation Tuning with Bayesian Optimization},<br \/>\r\nauthor = {Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-01-11},<br \/>\r\nbooktitle = {Proc. IEEE Consumer Communications & Networking Conference 2026},<br \/>\r\njournal = {Proc of IEEE Consumer Communications & Networking Conference 2026},<br \/>\r\naddress = {Las Vegas, NV, USA},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('664','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2025\">2025<\/h3><h3 class=\"tp_h3\" id=\"tp_h3_Journal Articles\">Journal Articles<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">7.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Yutong Feng, Akihito Taya, Yuuki Nishiyama, Jun Liu, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Adaptive Detection of Spread Spectrum Signals With General Array Configurationg <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Signal Processing, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-13, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_653\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('653','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_653\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('653','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1109\/TSP.2025.3633721\" title=\"Follow DOI:10.1109\/TSP.2025.3633721\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_653\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{11251169,<br \/>\r\ntitle = {Adaptive Detection of Spread Spectrum Signals With General Array Configurationg},<br \/>\r\nauthor = {Yutong Feng and Akihito Taya and Yuuki Nishiyama and Jun Liu and Kaoru Sezaki},<br \/>\r\ndoi = {10.1109\/TSP.2025.3633721},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-11-18},<br \/>\r\nurldate = {2025-11-18},<br \/>\r\njournal = {IEEE Transactions on Signal Processing},<br \/>\r\npages = {1-13},<br \/>\r\nabstract = {This paper investigates the signal activity detection problem for spread spectrum signals in low probability of detection communication systems under Gaussian disturbance with unknown covariance matrix. We assume that the receiver is equipped with an adaptive antenna array with general array configuration, comprising of a primary array with high\u2013gain antennas and a reference array with low\u2013gain antennas. It has been shown that this reference array structure can benefit interference suppression. Since it is difficult to derive the uniformly most powerful detector for the detection problem, we resort to using the Wald test and generalized likelihood ratio test (GLRT) schemes to design the detectors. Analytical performance of the proposed Wald test and GLRT is derived, indicating that the proposed two detectors bear constant false alarm rate property. Finally, numerical simulations are carried out, which verify the correctness of the theoretical analysis. Besides, it is revealed that the use of reference channel can facilitate to enhance the detection performance, but an increasing in the antenna number does not necessarily lead to an improvement in detection performance.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('653','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_653\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This paper investigates the signal activity detection problem for spread spectrum signals in low probability of detection communication systems under Gaussian disturbance with unknown covariance matrix. We assume that the receiver is equipped with an adaptive antenna array with general array configuration, comprising of a primary array with high\u2013gain antennas and a reference array with low\u2013gain antennas. It has been shown that this reference array structure can benefit interference suppression. Since it is difficult to derive the uniformly most powerful detector for the detection problem, we resort to using the Wald test and generalized likelihood ratio test (GLRT) schemes to design the detectors. Analytical performance of the proposed Wald test and GLRT is derived, indicating that the proposed two detectors bear constant false alarm rate property. Finally, numerical simulations are carried out, which verify the correctness of the theoretical analysis. Besides, it is revealed that the use of reference channel can facilitate to enhance the detection performance, but an increasing in the antenna number does not necessarily lead to an improvement in detection performance.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('653','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">8.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Yuuki Nishiyama, Subaru Atsumi, Kota Tsubouchi, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">A-UVI: GNSS-Assisted EO-based UV Index Estimation Method for Individual-level Precise UV Exposure Assessment <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_type\" style=\"background-color:crimson;\">Open Access<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., <\/span><span class=\"tp_pub_additional_volume\">9 <\/span><span class=\"tp_pub_additional_number\">(2), <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_644\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('644','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_644\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('644','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3729463\" title=\"https:\/\/dl.acm.org\/doi\/10.1145\/3729463\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1145\/3729463\" title=\"Follow DOI:10.1145\/3729463\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_644\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1145\/3729463,<br \/>\r\ntitle = {A-UVI: GNSS-Assisted EO-based UV Index Estimation Method for Individual-level Precise UV Exposure Assessment},<br \/>\r\nauthor = {Yuuki Nishiyama and Subaru Atsumi and Kota Tsubouchi and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/dl.acm.org\/doi\/10.1145\/3729463},<br \/>\r\ndoi = {10.1145\/3729463},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-06-01},<br \/>\r\nurldate = {2025-06-01},<br \/>\r\njournal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},<br \/>\r\nvolume = {9},<br \/>\r\nnumber = {2},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {New York, NY, USA},<br \/>\r\nabstract = {Excessive or insufficient exposure to ultraviolet (UV) light can have adverse effects on health, including the development of skin cancer, cataracts, and osteoporosis. An Earth observation (EO)-based UV index can estimate area-level UV indexes without effort in open-sky environments but can not provide sufficient accuracy for shaded environments. In contrast, conventional methods for monitoring individual-level, i.e., personal, UV exposure, such as mobile and wearable UV sensors, face limitations in terms of measurement and usability, presenting challenges for practical long-term usage. To address these issues, we introduce A-UVI, a method that enhances the accuracy of the EO-based UV index by leveraging raw signals from global navigation satellite systems (GNSS). By integrating this EO-based UV index and an attenuation ratio estimated from raw GNSS signals, our method especially improves estimation accuracy in shady environments affected by obstructions. We evaluated our method on data collected by different GNSS receivers in different mobility scenarios encompassing a diverse range of contexts and observation areas over the course of three days. Our evaluation showed that A-UVI estimates the UV index with a precision exceeding existing methods by at least 44.25%, achieving 5.53 times higher estimation accuracy in forest environments. We also confirmed that A-UVI is compatible with GNSS receivers in consumer-grade smartphones and has an average accuracy that is 23% better than the baseline EO-based method. Our findings demonstrate that utilizing raw GNSS signals enables accurate estimation of the UV index in various conditions, including in shaded areas, without the need for particular measurement actions or devices. This marks a significant advancement in enabling passive individual-level UV exposure monitoring and adaptive UV exposure management beyond simple exposure tracking.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('644','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_644\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Excessive or insufficient exposure to ultraviolet (UV) light can have adverse effects on health, including the development of skin cancer, cataracts, and osteoporosis. An Earth observation (EO)-based UV index can estimate area-level UV indexes without effort in open-sky environments but can not provide sufficient accuracy for shaded environments. In contrast, conventional methods for monitoring individual-level, i.e., personal, UV exposure, such as mobile and wearable UV sensors, face limitations in terms of measurement and usability, presenting challenges for practical long-term usage. To address these issues, we introduce A-UVI, a method that enhances the accuracy of the EO-based UV index by leveraging raw signals from global navigation satellite systems (GNSS). By integrating this EO-based UV index and an attenuation ratio estimated from raw GNSS signals, our method especially improves estimation accuracy in shady environments affected by obstructions. We evaluated our method on data collected by different GNSS receivers in different mobility scenarios encompassing a diverse range of contexts and observation areas over the course of three days. Our evaluation showed that A-UVI estimates the UV index with a precision exceeding existing methods by at least 44.25%, achieving 5.53 times higher estimation accuracy in forest environments. We also confirmed that A-UVI is compatible with GNSS receivers in consumer-grade smartphones and has an average accuracy that is 23% better than the baseline EO-based method. Our findings demonstrate that utilizing raw GNSS signals enables accurate estimation of the UV index in various conditions, including in shaded areas, without the need for particular measurement actions or devices. This marks a significant advancement in enabling passive individual-level UV exposure monitoring and adaptive UV exposure management beyond simple exposure tracking.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('644','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">9.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Zengyi Han, En Wang, Mohan Yu, Jie Wang, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">HeadMon+: Domain Adaptive Head Dynamic-based Riding Maneuver Prediction <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_type\" style=\"background-color:crimson;\">Open Access<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Mobile Computing, <\/span><span class=\"tp_pub_additional_pages\">pp. 14, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_645\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('645','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_645\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('645','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/ieeexplore.ieee.org\/document\/10969560\" title=\"https:\/\/ieeexplore.ieee.org\/document\/10969560\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1109\/TMC.2025.3562179\" title=\"Follow DOI:10.1109\/TMC.2025.3562179\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_645\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1109\/TMC.2025.3562179,<br \/>\r\ntitle = {HeadMon+: Domain Adaptive Head Dynamic-based Riding Maneuver Prediction},<br \/>\r\nauthor = {Zengyi Han and En Wang and Mohan Yu and Jie Wang and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/ieeexplore.ieee.org\/document\/10969560},<br \/>\r\ndoi = {10.1109\/TMC.2025.3562179},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-04-17},<br \/>\r\nurldate = {2025-04-17},<br \/>\r\njournal = {IEEE Transactions on Mobile Computing},<br \/>\r\npages = {14},<br \/>\r\nabstract = {Micro-mobility has become a vital means of transportation in recent years, however, it has also resulted in a rise in traffic incidents. Timely tracking and predicting riders' maneuvers hold the potential to ensure active protection and allow for sufficient time to avert accidents by issuing timely warnings and interventions. We contend that the rider's head dynamics can provide valuable information regarding their subsequent maneuvers. Riders' traveling habits, however diverse, not to mention the rapidly varying riding environment. The above factors contribute to significant disruptions in the data source, and various micro-mobility forms further exacerbate the issue. We accordingly present HeadMon+, which predicts the rider's subsequent maneuver by examining their head dynamics, and it can effectively adapt to various riding conditions and individuals. The system incorporates a deep learning framework with an advanced domain adversarial network. By single-time pre-training, HeadMon+ is capable of adapting to new data domains, including human subjects, and riding conditions for robust maneuver prediction. Based on our evaluation, we have found that the maneuver prediction of HeadMon+ has an overall precision of 94% with a prediction time gap of 4 seconds. HeadMon+'s low cost and rapid response capability make it easily deployed and then contribute to enhancing safe riding.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('645','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_645\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Micro-mobility has become a vital means of transportation in recent years, however, it has also resulted in a rise in traffic incidents. Timely tracking and predicting riders&#039; maneuvers hold the potential to ensure active protection and allow for sufficient time to avert accidents by issuing timely warnings and interventions. We contend that the rider&#039;s head dynamics can provide valuable information regarding their subsequent maneuvers. Riders&#039; traveling habits, however diverse, not to mention the rapidly varying riding environment. The above factors contribute to significant disruptions in the data source, and various micro-mobility forms further exacerbate the issue. We accordingly present HeadMon+, which predicts the rider&#039;s subsequent maneuver by examining their head dynamics, and it can effectively adapt to various riding conditions and individuals. The system incorporates a deep learning framework with an advanced domain adversarial network. By single-time pre-training, HeadMon+ is capable of adapting to new data domains, including human subjects, and riding conditions for robust maneuver prediction. Based on our evaluation, we have found that the maneuver prediction of HeadMon+ has an overall precision of 94% with a prediction time gap of 4 seconds. HeadMon+&#039;s low cost and rapid response capability make it easily deployed and then contribute to enhancing safe riding.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('645','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_Conferences\">Conferences<\/h3><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">10.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Qize Feng, Yanzhi Li, Akihito Taya, Sezaki Kaoru, Yuuki Nishiyama<\/p><p class=\"tp_pub_title\">Towards Measuring Postural Sway Using Earable Devices <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09, <\/span><span class=\"tp_pub_additional_series\">2025-UBI-88 <\/span><span class=\"tp_pub_additional_address\">\u6de1\u8def, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_651\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('651','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_651\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{ubi88_qize_cop,<br \/>\r\ntitle = {Towards Measuring Postural Sway Using Earable Devices},<br \/>\r\nauthor = {Qize Feng and Yanzhi Li and Akihito Taya and Sezaki Kaoru and Yuuki Nishiyama},<br \/>\r\neditor = {Postural sway quantification is critical for fall-risk assessment, rehabilitation monitoring, and VR-sickness detection, yet gold-standard force platforms remain costly, immobile, and clinic-bound. Existing wearable IMU solutions typically require dedicated waist belts that lack seamless integration into daily life. This study proposes an earable IMU paradigm leveraging consumer-style devices to bridge this gap. We collected synchronized earable IMU and force plate recordings from 10 healthy participants across 6 standardized balance conditions. Four predictive models (linear regression, random forest, Adaboost and CNN) were trained to predict clinically meaningful Center of Pressure (CoP) trajectory metrics from 6-axis ear IMU data. CNN achieved strong performance (R\u00b2 values reaching 0.90 for specific metrics), with particularly robust predictions for average velocity in eyes-closed conditions (R\u00b2 $&gt;$ 0.85). These findings support earable devices as a scalable, wireless, and clinically aligned alternative for continuous balance monitoring in both clinical and home settings.},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-11-26},<br \/>\r\nurldate = {2025-11-26},<br \/>\r\nbooktitle = {\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09},<br \/>\r\naddress = {\u6de1\u8def},<br \/>\r\nseries = {2025-UBI-88},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('651','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">11.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u829d\u585a\u80b2\u5927, \u85e4\u91cd\u51f1\u4eba, \u576a\u5185\u5b5d\u592a, \u897f\u5c71\u52c7\u6bc5, \u4e0b\u5742\u6b63\u502b<\/p><p class=\"tp_pub_title\">\u30a6\u30a7\u30a2\u30e9\u30d6\u30ebUWB\u306e\u6642\u7cfb\u5217CIR\u3092\u7528\u3044\u305f\u547c\u5438\u63a8\u5b9a <span class=\"tp_pub_type conference\">Conference<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><span class=\"tp_pub_type\" style=\"background-color:gray;\">To Appear<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a (IPSJ SIGUBI), <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_655\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('655','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_655\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('655','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_655\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{oai:ipsj.ixsq.nii.ac.jp:02005622,<br \/>\r\ntitle = {\u30a6\u30a7\u30a2\u30e9\u30d6\u30ebUWB\u306e\u6642\u7cfb\u5217CIR\u3092\u7528\u3044\u305f\u547c\u5438\u63a8\u5b9a},<br \/>\r\nauthor = {\u829d\u585a\u80b2\u5927 and \u85e4\u91cd\u51f1\u4eba and \u576a\u5185\u5b5d\u592a and \u897f\u5c71\u52c7\u6bc5 and \u4e0b\u5742\u6b63\u502b},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-11-19},<br \/>\r\nurldate = {2025-11-19},<br \/>\r\nbooktitle = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a (IPSJ SIGUBI)},<br \/>\r\nabstract = {\u547c\u5438\u6ce2\u5f62\u3084\u63db\u6c17\u91cf\u306f\u5065\u5eb7\u3084\u8a8d\u77e5\u8ca0\u8377\u306a\u3069\u3092\u8a55\u4fa1\u3059\u308b\u91cd\u8981\u306a\u751f\u7406\u6307\u6a19\u3067\u3042\u308b\u304c\uff0c\u6e2c\u5b9a\u306b\u306f\u4e00\u822c\u306b\u88c5\u7740\u8ca0\u8377\u306e\u5927\u304d\u3044\u6a5f\u5668\u304c\u5fc5\u8981\u3068\u306a\u308b\uff0e\u4e00\u65b9\uff0c\u7121\u7dda\u4fe1\u53f7\u306e\u53cd\u5c04\u304b\u3089\u80f8\u90ed\u5909\u52d5\u3092\u6349\u3048\u3089\u308c\u308bUltra-Wideband\uff08UWB\uff09\u306f\uff0c\u4f4e\u8ca0\u8377\u3067\u547c\u5438\u6ce2\u5f62\u307e\u3067\u518d\u73fe\u53ef\u80fd\u306a\u6709\u529b\u306a\u8a08\u6e2c\u624b\u6cd5\u3068\u3057\u3066\u6ce8\u76ee\u3055\u308c\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\uff0c\u5f93\u6765\u306e\u7814\u7a76\u3067\u306f\uff0c\u74b0\u5883\u8a2d\u7f6e\u578b\u3067\u306e\u8a08\u6e2c\u3092\u524d\u63d0\u3068\u3057\u3066\u304a\u308a\uff0c\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u306b\u9069\u7528\u3057\u305f\u5834\u5408\uff0cUWB\u30ec\u30fc\u30c0\u3068\u4f53\u3068\u306e\u76f8\u5bfe\u7684\u306a\u4f4d\u7f6e\u3084\u5411\u304d\u306b\u3088\u308b\u5f71\u97ff\u3084\uff0c\u4f53\u52d5\u306b\u3088\u3063\u3066\u547c\u5438\u4fe1\u53f7\u304c\u57cb\u3082\u308c\u308b\u306a\u3069\u306e\u8ab2\u984c\u306b\u3064\u3044\u3066\u306f\u5341\u5206\u306b\u8b70\u8ad6\u3055\u308c\u3066\u3044\u306a\u3044\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0c\u65e5\u5e38\u7684\u306b\u88c5\u7740\u53ef\u80fd\u306a\u5f62\u614b\u3067\u547c\u5438\u6ce2\u5f62\u3092\u8a08\u6e2c\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\uff0c\u624b\u9996\u88c5\u7740\u578bUWB\u3092\u63d0\u6848\u3059\u308b\uff0e\u3053\u306e\u8a08\u6e2c\u5f62\u614b\u3067\u306f\uff0c\u624b\u306e\u914d\u7f6e\u3084\u59ff\u52e2\u306b\u3088\u308b\u30ec\u30fc\u30c0\u3068\u4f53\u3068\u306e\u5411\u304d\u30fb\u8ddd\u96e2\u306e\u9055\u3044\uff0c\u304a\u3088\u3073\u624b\u306e\u52d5\u4f5c\u306b\u4f34\u3046\u30bb\u30f3\u30b5\u4f4d\u7f6e\u306e\u5909\u52d5\u304c\u547c\u5438\u6ce2\u5f62\u63a8\u5b9a\u306b\u5f71\u97ff\u3092\u53ca\u307c\u3059\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\uff0c\u305d\u306e\u5f71\u97ff\u3092\u5b9f\u9a13\u7684\u306b\u691c\u8a3c\u3059\u308b\uff0e\u88ab\u9a13\u8005\u306e\u7279\u5b9a\u306e\u59ff\u52e2\u30fb\u52d5\u4f5c\u4e0b\u3067UWB\u306e\u6642\u7cfb\u5217CIR\u304b\u3089\u547c\u5438\u6ce2\u5f62\u3092\u63a8\u5b9a\u3057\uff0c\u74b0\u5883\u8a2d\u7f6e\u578b\u3068\u624b\u9996\u88c5\u7740\u578b\u3068\u3092\u6bd4\u8f03\u3057\u3066\uff0c\u547c\u5438\u6ce2\u5f62\u5fa9\u5143\u306e\u7cbe\u5ea6\u3092\u8a55\u4fa1\u3059\u308b\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('655','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_655\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u547c\u5438\u6ce2\u5f62\u3084\u63db\u6c17\u91cf\u306f\u5065\u5eb7\u3084\u8a8d\u77e5\u8ca0\u8377\u306a\u3069\u3092\u8a55\u4fa1\u3059\u308b\u91cd\u8981\u306a\u751f\u7406\u6307\u6a19\u3067\u3042\u308b\u304c\uff0c\u6e2c\u5b9a\u306b\u306f\u4e00\u822c\u306b\u88c5\u7740\u8ca0\u8377\u306e\u5927\u304d\u3044\u6a5f\u5668\u304c\u5fc5\u8981\u3068\u306a\u308b\uff0e\u4e00\u65b9\uff0c\u7121\u7dda\u4fe1\u53f7\u306e\u53cd\u5c04\u304b\u3089\u80f8\u90ed\u5909\u52d5\u3092\u6349\u3048\u3089\u308c\u308bUltra-Wideband\uff08UWB\uff09\u306f\uff0c\u4f4e\u8ca0\u8377\u3067\u547c\u5438\u6ce2\u5f62\u307e\u3067\u518d\u73fe\u53ef\u80fd\u306a\u6709\u529b\u306a\u8a08\u6e2c\u624b\u6cd5\u3068\u3057\u3066\u6ce8\u76ee\u3055\u308c\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\uff0c\u5f93\u6765\u306e\u7814\u7a76\u3067\u306f\uff0c\u74b0\u5883\u8a2d\u7f6e\u578b\u3067\u306e\u8a08\u6e2c\u3092\u524d\u63d0\u3068\u3057\u3066\u304a\u308a\uff0c\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u306b\u9069\u7528\u3057\u305f\u5834\u5408\uff0cUWB\u30ec\u30fc\u30c0\u3068\u4f53\u3068\u306e\u76f8\u5bfe\u7684\u306a\u4f4d\u7f6e\u3084\u5411\u304d\u306b\u3088\u308b\u5f71\u97ff\u3084\uff0c\u4f53\u52d5\u306b\u3088\u3063\u3066\u547c\u5438\u4fe1\u53f7\u304c\u57cb\u3082\u308c\u308b\u306a\u3069\u306e\u8ab2\u984c\u306b\u3064\u3044\u3066\u306f\u5341\u5206\u306b\u8b70\u8ad6\u3055\u308c\u3066\u3044\u306a\u3044\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0c\u65e5\u5e38\u7684\u306b\u88c5\u7740\u53ef\u80fd\u306a\u5f62\u614b\u3067\u547c\u5438\u6ce2\u5f62\u3092\u8a08\u6e2c\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\uff0c\u624b\u9996\u88c5\u7740\u578bUWB\u3092\u63d0\u6848\u3059\u308b\uff0e\u3053\u306e\u8a08\u6e2c\u5f62\u614b\u3067\u306f\uff0c\u624b\u306e\u914d\u7f6e\u3084\u59ff\u52e2\u306b\u3088\u308b\u30ec\u30fc\u30c0\u3068\u4f53\u3068\u306e\u5411\u304d\u30fb\u8ddd\u96e2\u306e\u9055\u3044\uff0c\u304a\u3088\u3073\u624b\u306e\u52d5\u4f5c\u306b\u4f34\u3046\u30bb\u30f3\u30b5\u4f4d\u7f6e\u306e\u5909\u52d5\u304c\u547c\u5438\u6ce2\u5f62\u63a8\u5b9a\u306b\u5f71\u97ff\u3092\u53ca\u307c\u3059\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\uff0c\u305d\u306e\u5f71\u97ff\u3092\u5b9f\u9a13\u7684\u306b\u691c\u8a3c\u3059\u308b\uff0e\u88ab\u9a13\u8005\u306e\u7279\u5b9a\u306e\u59ff\u52e2\u30fb\u52d5\u4f5c\u4e0b\u3067UWB\u306e\u6642\u7cfb\u5217CIR\u304b\u3089\u547c\u5438\u6ce2\u5f62\u3092\u63a8\u5b9a\u3057\uff0c\u74b0\u5883\u8a2d\u7f6e\u578b\u3068\u624b\u9996\u88c5\u7740\u578b\u3068\u3092\u6bd4\u8f03\u3057\u3066\uff0c\u547c\u5438\u6ce2\u5f62\u5fa9\u5143\u306e\u7cbe\u5ea6\u3092\u8a55\u4fa1\u3059\u308b\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('655','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">12.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Tong\u2005Xing, Akihito\u2005Taya, Yuuki\u2005Nishiyama, Kaoru\u2005Sezaki<\/p><p class=\"tp_pub_title\">Toward\u2005synthesizing\u2005infants\u2019\u2005daily\u2005motion\u2005data\u2005using\u2005LLM <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a, <\/span><span class=\"tp_pub_additional_publisher\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u5ca1\u5c71, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_660\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('660','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_660\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokey,<br \/>\r\ntitle = {Toward\u2005synthesizing\u2005infants\u2019\u2005daily\u2005motion\u2005data\u2005using\u2005LLM},<br \/>\r\nauthor = {Tong\u2005Xing and Akihito\u2005Taya and Yuuki\u2005Nishiyama and Kaoru\u2005Sezaki},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-09-11},<br \/>\r\nurldate = {2025-09-11},<br \/>\r\nbooktitle = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a},<br \/>\r\npublisher = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a},<br \/>\r\naddress = {\u5ca1\u5c71},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('660','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">13.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u9ad8\u5929, \u8463\u5b66\u752b, \u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">Expression Recognition Based on Ear Canal Shape Detection Using Earbud and Ultrasound <span class=\"tp_pub_type conference\">Conference<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7b2c24\u56de\u60c5\u5831\u79d1\u5b66\u6280\u8853\u30d5\u30a9\u30fc\u30e9\u30e0 (FIT2025), <\/span><span class=\"tp_pub_additional_organization\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30fb\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a <\/span><span class=\"tp_pub_additional_address\">\u672d\u5e4c, <\/span><span class=\"tp_pub_additional_year\">2025<\/span><span class=\"tp_pub_additional_note\">, (FIT\u8ad6\u6587\u8cde\u53d7\u8cde\u8ad6\u6587)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_654\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('654','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/www.ipsj.or.jp\/award\/fit_ronbun.html\" title=\"https:\/\/www.ipsj.or.jp\/award\/fit_ronbun.html\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/www.ipsj.or.jp\/award\/9faeag0000004f1r-att\/CJ-002_1.pdf\" title=\"https:\/\/www.ipsj.or.jp\/award\/9faeag0000004f1r-att\/CJ-002_1.pdf\" target=\"_blank\"><i class=\"fas fa-file-pdf\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_654\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{gao2025expression,<br \/>\r\ntitle = {Expression Recognition Based on Ear Canal Shape Detection Using Earbud and Ultrasound},<br \/>\r\nauthor = {\u9ad8\u5929 and \u8463\u5b66\u752b and \u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nurl = {https:\/\/www.ipsj.or.jp\/award\/fit_ronbun.html <br \/>\r\nhttps:\/\/www.ipsj.or.jp\/award\/9faeag0000004f1r-att\/CJ-002_1.pdf},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-09-03},<br \/>\r\nurldate = {2025-09-03},<br \/>\r\nbooktitle = {\u7b2c24\u56de\u60c5\u5831\u79d1\u5b66\u6280\u8853\u30d5\u30a9\u30fc\u30e9\u30e0 (FIT2025)},<br \/>\r\npages = {CJ-002_1},<br \/>\r\naddress = {\u672d\u5e4c},<br \/>\r\norganization = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30fb\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a},<br \/>\r\nnote = {FIT\u8ad6\u6587\u8cde\u53d7\u8cde\u8ad6\u6587},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('654','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">14.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u4ecb\u3057\u305fIoT\u306b\u304a\u3051\u308b\u81ea\u7136\u8a00\u8a9e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0 <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bb\u30f3\u30b5\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u30e2\u30d0\u30a4\u30eb\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u7814\u7a76\u4f1a(SeMI)  SeMI2025-28, <\/span><span class=\"tp_pub_additional_address\">\u76db\u5ca1, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_661\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('661','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_661\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokey,<br \/>\r\ntitle = {\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u4ecb\u3057\u305fIoT\u306b\u304a\u3051\u308b\u81ea\u7136\u8a00\u8a9e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0},<br \/>\r\nauthor = {\u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-07-31},<br \/>\r\nbooktitle = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bb\u30f3\u30b5\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u30e2\u30d0\u30a4\u30eb\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u7814\u7a76\u4f1a(SeMI)  SeMI2025-28},<br \/>\r\naddress = {\u76db\u5ca1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('661','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">15.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">[\u4f9d\u983c\u8b1b\u6f14] \u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u3092\u7528\u3044\u305f\u77e5\u8b58\u84b8\u7559\u306b\u3088\u308b\u5206\u6563\u9023\u5408\u5b66\u7fd2\u3068\u5236\u5fa1\u7406\u8ad6\u3068\u306e\u95a2\u9023 <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aRISING\u7814\u7a76\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u76db\u5ca1, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_662\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('662','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_662\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokey,<br \/>\r\ntitle = {[\u4f9d\u983c\u8b1b\u6f14] \u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u3092\u7528\u3044\u305f\u77e5\u8b58\u84b8\u7559\u306b\u3088\u308b\u5206\u6563\u9023\u5408\u5b66\u7fd2\u3068\u5236\u5fa1\u7406\u8ad6\u3068\u306e\u95a2\u9023},<br \/>\r\nauthor = {\u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-07-30},<br \/>\r\nbooktitle = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aRISING\u7814\u7a76\u4f1a},<br \/>\r\naddress = {\u76db\u5ca1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('662','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">16.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u7d30\u6cbc\u6075\u91cc, \u5c71\u5d0e\u8a17, \u4e09\u597d\u5320, \u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">\u751f\u6210\u578b\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u901a\u4fe1\u306b\u304a\u3051\u308b\u610f\u5473\u7684\u985e\u4f3c\u5ea6\u306b\u57fa\u3065\u3044\u305f\u751f\u6210\u30b3\u30b9\u30c8\u5206\u6790 <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a\uff08NS\uff09, <\/span><span class=\"tp_pub_additional_publisher\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u6c96\u7e04, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_640\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('640','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_640\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('640','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/ken.ieice.org\/ken\/paper\/20250307Qcio\/\" title=\"https:\/\/ken.ieice.org\/ken\/paper\/20250307Qcio\/\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_640\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokeyf,<br \/>\r\ntitle = {\u751f\u6210\u578b\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u901a\u4fe1\u306b\u304a\u3051\u308b\u610f\u5473\u7684\u985e\u4f3c\u5ea6\u306b\u57fa\u3065\u3044\u305f\u751f\u6210\u30b3\u30b9\u30c8\u5206\u6790},<br \/>\r\nauthor = {\u7d30\u6cbc\u6075\u91cc and \u5c71\u5d0e\u8a17 and \u4e09\u597d\u5320 and \u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nurl = {https:\/\/ken.ieice.org\/ken\/paper\/20250307Qcio\/},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-03-07},<br \/>\r\nurldate = {2025-03-07},<br \/>\r\nbooktitle = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a\uff08NS\uff09},<br \/>\r\npublisher = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a},<br \/>\r\naddress = {\u6c96\u7e04},<br \/>\r\nabstract = {\u901a\u4fe1\u30ea\u30bd\u30fc\u30b9\u304c\u5236\u9650\u3055\u308c\u305f\u74b0\u5883\u4e0b\u306b\u304a\u3044\u3066\uff0c\u5c11\u306a\u3044\u4f1d\u9001\u30b3\u30b9\u30c8\u3067\u753b\u50cf\u4f1d\u9001\u3092\u884c\u3046\u624b\u6cd5\u3068\u3057\u3066\uff0c\u8457\u8005\u3089\u306f\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u306a\u751f\u6210\u578b\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u901a\u4fe1\u3092\u63d0\u6848\u3057\u3066\u304d\u305f\uff0e\u672c\u624b\u6cd5\u3067\u306f\uff0c\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u3066\u5143\u753b\u50cf\u304b\u3089\u8907\u6570\u7a2e\u985e\u306e\u610f\u5473\u60c5\u5831\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u3067\u9001\u4fe1\u30c7\u30fc\u30bf\u91cf\u3092\u524a\u6e1b\u3059\u308b\uff0e\u305d\u306e\u5f8c\uff0c\u53d7\u4fe1\u7aef\u672b\u304c\u53d7\u4fe1\u3057\u305f\u610f\u5473\u60c5\u5831\u3092\u753b\u50cf\u751f\u6210\u30e2\u30c7\u30eb\u3078\u5165\u529b\u3059\u308b\u3053\u3068\u3067\u753b\u50cf\u4f1d\u9001\u3092\u5b9f\u73fe\u3059\u308b\u304c\uff0c\u3053\u306e\u3068\u304d\uff0c\u753b\u50cf\u751f\u6210\u30e2\u30c7\u30eb\u3067\u306f\u30e9\u30f3\u30c0\u30e0\u306a\u753b\u50cf\u304c\u751f\u6210\u3055\u308c\u308b\u305f\u3081\uff0c\u53d7\u4fe1\u7aef\u672b\u306f\u751f\u6210\u753b\u50cf\u306e\u4e2d\u304b\u3089\u5143\u753b\u50cf\u3068\u610f\u5473\u60c5\u5831\u306e\u985e\u4f3c\u5ea6\u304c\u9ad8\u3044\u753b\u50cf\u3092\u9078\u629e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\uff0e\u3057\u304b\u3057\uff0c\u672c\u624b\u6cd5\u3067\u306f\uff0c\u53d7\u4fe1\u7aef\u672b\u306b\u3088\u308b\u51fa\u529b\u7d50\u679c\u306e\u9078\u629e\u65b9\u6cd5\u3084\u7d50\u679c\u306e\u9078\u629e\u306b\u4fc2\u308b\u30b3\u30b9\u30c8\u5206\u6790\u306b\u3064\u3044\u3066\u672a\u691c\u8a0e\u3067\u3042\u3063\u305f\uff0e\u305d\u3053\u3067\u672c\u7a3f\u3067\u306f\uff0c\u53d7\u4fe1\u7aef\u672b\u304c\u753b\u50cf\u9593\u306e\u610f\u5473\u7684\u306a\u985e\u4f3c\u5ea6\u306b\u57fa\u3065\u304d\u51fa\u529b\u7d50\u679c\u3092\u9078\u629e\u3059\u308b\u624b\u6cd5\u3092\u691c\u8a0e\u3057\uff0c\u7d50\u679c\u306e\u9078\u629e\u306b\u4fc2\u308b\u30b3\u30b9\u30c8\u306e\u5206\u6790\u3092\u884c\u3046\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('640','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_640\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u901a\u4fe1\u30ea\u30bd\u30fc\u30b9\u304c\u5236\u9650\u3055\u308c\u305f\u74b0\u5883\u4e0b\u306b\u304a\u3044\u3066\uff0c\u5c11\u306a\u3044\u4f1d\u9001\u30b3\u30b9\u30c8\u3067\u753b\u50cf\u4f1d\u9001\u3092\u884c\u3046\u624b\u6cd5\u3068\u3057\u3066\uff0c\u8457\u8005\u3089\u306f\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u306a\u751f\u6210\u578b\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u901a\u4fe1\u3092\u63d0\u6848\u3057\u3066\u304d\u305f\uff0e\u672c\u624b\u6cd5\u3067\u306f\uff0c\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u3066\u5143\u753b\u50cf\u304b\u3089\u8907\u6570\u7a2e\u985e\u306e\u610f\u5473\u60c5\u5831\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u3067\u9001\u4fe1\u30c7\u30fc\u30bf\u91cf\u3092\u524a\u6e1b\u3059\u308b\uff0e\u305d\u306e\u5f8c\uff0c\u53d7\u4fe1\u7aef\u672b\u304c\u53d7\u4fe1\u3057\u305f\u610f\u5473\u60c5\u5831\u3092\u753b\u50cf\u751f\u6210\u30e2\u30c7\u30eb\u3078\u5165\u529b\u3059\u308b\u3053\u3068\u3067\u753b\u50cf\u4f1d\u9001\u3092\u5b9f\u73fe\u3059\u308b\u304c\uff0c\u3053\u306e\u3068\u304d\uff0c\u753b\u50cf\u751f\u6210\u30e2\u30c7\u30eb\u3067\u306f\u30e9\u30f3\u30c0\u30e0\u306a\u753b\u50cf\u304c\u751f\u6210\u3055\u308c\u308b\u305f\u3081\uff0c\u53d7\u4fe1\u7aef\u672b\u306f\u751f\u6210\u753b\u50cf\u306e\u4e2d\u304b\u3089\u5143\u753b\u50cf\u3068\u610f\u5473\u60c5\u5831\u306e\u985e\u4f3c\u5ea6\u304c\u9ad8\u3044\u753b\u50cf\u3092\u9078\u629e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\uff0e\u3057\u304b\u3057\uff0c\u672c\u624b\u6cd5\u3067\u306f\uff0c\u53d7\u4fe1\u7aef\u672b\u306b\u3088\u308b\u51fa\u529b\u7d50\u679c\u306e\u9078\u629e\u65b9\u6cd5\u3084\u7d50\u679c\u306e\u9078\u629e\u306b\u4fc2\u308b\u30b3\u30b9\u30c8\u5206\u6790\u306b\u3064\u3044\u3066\u672a\u691c\u8a0e\u3067\u3042\u3063\u305f\uff0e\u305d\u3053\u3067\u672c\u7a3f\u3067\u306f\uff0c\u53d7\u4fe1\u7aef\u672b\u304c\u753b\u50cf\u9593\u306e\u610f\u5473\u7684\u306a\u985e\u4f3c\u5ea6\u306b\u57fa\u3065\u304d\u51fa\u529b\u7d50\u679c\u3092\u9078\u629e\u3059\u308b\u624b\u6cd5\u3092\u691c\u8a0e\u3057\uff0c\u7d50\u679c\u306e\u9078\u629e\u306b\u4fc2\u308b\u30b3\u30b9\u30c8\u306e\u5206\u6790\u3092\u884c\u3046\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('640','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">17.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u4f0a\u85e4\u611b\u9999, \u5c0f\u5d8b\u512a\u672a, \u576a\u5185\u8003\u592a, \u897f\u5c3e\u4fe1\u5f66, \u4e0b\u5742\u6b63\u502b, \u7530\u8c37\u662d\u4ec1, \u702c\u5d0e\u85ab, \u897f\u5c71\u52c7\u6bc5<\/p><p class=\"tp_pub_title\">\u5e38\u6642\u88c5\u7740\u578b\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u5229\u7528\u74b0\u5883\u306b\u304a\u3051\u308b\u97f3\u58f0\u901a\u77e5\u30bf\u30a4\u30df\u30f3\u30b0\u6700\u9069\u5316\u306b\u5411\u3051\u305f\u57fa\u790e\u691c\u8a0e <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">UBI\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02025, <\/span><span class=\"tp_pub_additional_address\">\u5927\u962a, \u65e5\u672c, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_643\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('643','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_643\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokeyh,<br \/>\r\ntitle = {\u5e38\u6642\u88c5\u7740\u578b\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u5229\u7528\u74b0\u5883\u306b\u304a\u3051\u308b\u97f3\u58f0\u901a\u77e5\u30bf\u30a4\u30df\u30f3\u30b0\u6700\u9069\u5316\u306b\u5411\u3051\u305f\u57fa\u790e\u691c\u8a0e},<br \/>\r\nauthor = {\u4f0a\u85e4\u611b\u9999 and \u5c0f\u5d8b\u512a\u672a and \u576a\u5185\u8003\u592a and \u897f\u5c3e\u4fe1\u5f66 and \u4e0b\u5742\u6b63\u502b and \u7530\u8c37\u662d\u4ec1 and \u702c\u5d0e\u85ab and \u897f\u5c71\u52c7\u6bc5},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-02-26},<br \/>\r\nurldate = {2025-02-26},<br \/>\r\nbooktitle = {UBI\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02025},<br \/>\r\naddress = {\u5927\u962a, \u65e5\u672c},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('643','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">18.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Xuefu Dong, Yifei Chen, Yuuki Nishiyama, Kaoru Sezaki, Yuntao Wang, Ken Christofferson, Alex Mariakakis<\/p><p class=\"tp_pub_title\">Recognizing Hidden-in-the-Ear Silent Spellings <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">UBI\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02025, <\/span><span class=\"tp_pub_additional_address\">\u5927\u962a, \u65e5\u672c, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_642\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('642','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_642\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Dong2025,<br \/>\r\ntitle = {Recognizing Hidden-in-the-Ear Silent Spellings},<br \/>\r\nauthor = {Xuefu Dong and Yifei Chen and Yuuki Nishiyama and Kaoru Sezaki and Yuntao Wang and Ken Christofferson and Alex Mariakakis},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-02-26},<br \/>\r\nurldate = {2025-02-26},<br \/>\r\nbooktitle = {UBI\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02025},<br \/>\r\naddress = {\u5927\u962a, \u65e5\u672c},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('642','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">19.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u4e2d\u6751\u4ec1\u54c9, \u7530\u8c37\u662d\u4ec1, \u702c\u5d0e\u85ab, \u897f\u5c71\u52c7\u6bc5<\/p><p class=\"tp_pub_title\">\u65e5\u5e38\u884c\u52d5\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u904b\u52d5\u6539\u5584\u306e\u305f\u3081\u306e\u76ee\u6a19\u8a2d\u5b9a\u652f\u63f4\u306b\u3080\u3051\u3066 <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c211\u56deHCI\u7814\u7a76\u4f1a, <\/span><span class=\"tp_pub_additional_publisher\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u6c96\u7e04, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_639\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('639','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_639\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('639','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/www.sighci.jp\/events\/sig\/211\" title=\"https:\/\/www.sighci.jp\/events\/sig\/211\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_639\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{nokey,<br \/>\r\ntitle = {\u65e5\u5e38\u884c\u52d5\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u904b\u52d5\u6539\u5584\u306e\u305f\u3081\u306e\u76ee\u6a19\u8a2d\u5b9a\u652f\u63f4\u306b\u3080\u3051\u3066},<br \/>\r\nauthor = {\u4e2d\u6751\u4ec1\u54c9 and \u7530\u8c37\u662d\u4ec1 and \u702c\u5d0e\u85ab and \u897f\u5c71\u52c7\u6bc5},<br \/>\r\nurl = {https:\/\/www.sighci.jp\/events\/sig\/211},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-01-15},<br \/>\r\nurldate = {2025-01-15},<br \/>\r\nbooktitle = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c211\u56deHCI\u7814\u7a76\u4f1a},<br \/>\r\npublisher = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a},<br \/>\r\naddress = {\u6c96\u7e04},<br \/>\r\nabstract = {\u8fd1\u5e74\uff0c\u30c7\u30b9\u30af\u30ef\u30fc\u30af\u306e\u5897\u52a0\u7b49\u306e\u7406\u7531\u304b\u3089\uff0c\u904b\u52d5\u4e0d\u8db3\u304c\u793e\u4f1a\u7684\u306a\u8ab2\u984c\u306b\u306a\u3063\u3066\u3044\u308b.\u904b\u52d5\u4e0d\u8db3\u6539\u5584\u306e\u305f\u3081\u306e\u76ee\u6a19\u8a2d\u5b9a\u3067\u306f\uff0c\u9054\u6210\u53ef\u80fd\u306a\u96e3\u6613\u5ea6\u306e\u77ed\u671f\u76ee\u6a19\u3092\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u306b\u3088\u308a\uff0c\u81ea\u5df1\u52b9\u529b\u611f\u3092\u5411\u4e0a\u3055\u305b\uff0c\u76ee\u6a19 \u9054\u6210\u7387\u306e\u5411\u4e0a\u306b\u8ca2\u732e\u3059\u308b\u3053\u3068\u304c\u660e\u3089\u304b\u306b\u306a\u3063\u3066\u3044\u308b\u304c\uff0c\u500b\u4eba\u3067\u52b9\u679c\u7684\u306a\u77ed\u671f\u76ee\u6a19\u3092\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u306f\u5bb9\u6613\u3067\u306f\u7121\u3044.\u307e\u305f\uff0c\u8fd1\u5e74\u306e\u30e2\u30d0\u30a4\u30eb\u30fb\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306e\u6025\u901f\u306a\u6d78\u900f\u306b\u3088\u308a\uff0c\u500b\u4eba\u306e\u884c\u52d5\u3092\u5bb9\u6613\u306b\u8a08\u6e2c\u3067 \u304d\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u304c\uff0c\u904b\u52d5\u4e0d\u8db3\u6539\u5584\u306e\u305f\u3081\u306e\u76ee\u6a19\u8a2d\u5b9a\u306b\u304a\u3044\u3066\uff0c\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u76ee\u6a19\u8a2d\u5b9a\u652f\u63f4\u6280\u8853\u306f\u307e\u3060\u5341\u5206\u306b\u78ba\u7acb\u3057\u3066\u3044\u306a\u3044.\u672c\u7814\u7a76\u306e\u76ee\u7684\u306f\uff0c\u5bfe\u8c61\u8005\u306e\u5c5e\u6027\u306b\u985e\u4f3c\u3057\u305f\u4ed6\u4eba\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u77ed\u671f\u76ee\u6a19\u3068\u3057\u3066\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u3067\uff0c\u77ed\u671f\u76ee\u6a19\u306b\u5bfe\u3059\u308b\u81ea\u5df1\u52b9\u529b\u611f\u304c\u5411\u4e0a\u3059\u308b\u304b\u3092\u660e\u3089\u304b\u306b\u3059\u308b\u3053\u3068\u3067\u3042\u308b.\u672c\u8ad6\u6587\u3067\u306f\uff0c 131\u4eba\u306e\u4e00\u822c\u4eba\u304b\u3089\u4e8b\u524d\u306b\u53ce\u96c6\u3057\u305f\u6b69\u6570\u30c7\u30fc\u30bf\u3092\u3082\u3068\u306b\uff0c\u5bfe\u8c61\u8005\u306e\u5c5e\u6027\u3068\u6642\u523b\u6bce\u306e\u6b69\u6570\u30d1\u30bf\u30fc\u30f3\u304c\u985e\u4f3c\u3057\uff0c\u304b\u3064\u6b69\u6570\u304c\u591a\u3044\u8005\u3092\u62bd\u51fa\u3057\uff0c\u305d\u306e\u8005\u306e\u6b69\u6570\u3092\u77ed\u671f\u76ee\u6a19\u3068\u3057\u3066\u63d0\u793a\u3059\u308b\u6a5f\u69cb\u3092\u8a2d\u8a08\u30fb\u958b\u767a\u3057\u305f.10 \u540d\u306e\u5b9f\u9a13 \u53c2\u52a0\u8005\u306b\u5bfe\u3057\u3066\uff0c\u524d\u8ff0\u306e\u6a5f\u69cb\u3092\u7528\u3044\u3066\u62bd\u51fa\u3057\u305f\u77ed\u671f\u76ee\u6a19\u3092\u63d0\u793a\u3057\u305f\u3068\u3053\u308d\uff0c\u5b9f\u9a13\u53c2\u52a0\u8005\u306f\u63d0\u6848\u306b\u5bfe\u3057\u9ad8\u3044 \u81ea\u5df1\u52b9\u529b\u611f\u3092\u793a\u3057\u305f.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('639','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_639\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u8fd1\u5e74\uff0c\u30c7\u30b9\u30af\u30ef\u30fc\u30af\u306e\u5897\u52a0\u7b49\u306e\u7406\u7531\u304b\u3089\uff0c\u904b\u52d5\u4e0d\u8db3\u304c\u793e\u4f1a\u7684\u306a\u8ab2\u984c\u306b\u306a\u3063\u3066\u3044\u308b.\u904b\u52d5\u4e0d\u8db3\u6539\u5584\u306e\u305f\u3081\u306e\u76ee\u6a19\u8a2d\u5b9a\u3067\u306f\uff0c\u9054\u6210\u53ef\u80fd\u306a\u96e3\u6613\u5ea6\u306e\u77ed\u671f\u76ee\u6a19\u3092\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u306b\u3088\u308a\uff0c\u81ea\u5df1\u52b9\u529b\u611f\u3092\u5411\u4e0a\u3055\u305b\uff0c\u76ee\u6a19 \u9054\u6210\u7387\u306e\u5411\u4e0a\u306b\u8ca2\u732e\u3059\u308b\u3053\u3068\u304c\u660e\u3089\u304b\u306b\u306a\u3063\u3066\u3044\u308b\u304c\uff0c\u500b\u4eba\u3067\u52b9\u679c\u7684\u306a\u77ed\u671f\u76ee\u6a19\u3092\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u306f\u5bb9\u6613\u3067\u306f\u7121\u3044.\u307e\u305f\uff0c\u8fd1\u5e74\u306e\u30e2\u30d0\u30a4\u30eb\u30fb\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306e\u6025\u901f\u306a\u6d78\u900f\u306b\u3088\u308a\uff0c\u500b\u4eba\u306e\u884c\u52d5\u3092\u5bb9\u6613\u306b\u8a08\u6e2c\u3067 \u304d\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u304c\uff0c\u904b\u52d5\u4e0d\u8db3\u6539\u5584\u306e\u305f\u3081\u306e\u76ee\u6a19\u8a2d\u5b9a\u306b\u304a\u3044\u3066\uff0c\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u76ee\u6a19\u8a2d\u5b9a\u652f\u63f4\u6280\u8853\u306f\u307e\u3060\u5341\u5206\u306b\u78ba\u7acb\u3057\u3066\u3044\u306a\u3044.\u672c\u7814\u7a76\u306e\u76ee\u7684\u306f\uff0c\u5bfe\u8c61\u8005\u306e\u5c5e\u6027\u306b\u985e\u4f3c\u3057\u305f\u4ed6\u4eba\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u77ed\u671f\u76ee\u6a19\u3068\u3057\u3066\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u3067\uff0c\u77ed\u671f\u76ee\u6a19\u306b\u5bfe\u3059\u308b\u81ea\u5df1\u52b9\u529b\u611f\u304c\u5411\u4e0a\u3059\u308b\u304b\u3092\u660e\u3089\u304b\u306b\u3059\u308b\u3053\u3068\u3067\u3042\u308b.\u672c\u8ad6\u6587\u3067\u306f\uff0c 131\u4eba\u306e\u4e00\u822c\u4eba\u304b\u3089\u4e8b\u524d\u306b\u53ce\u96c6\u3057\u305f\u6b69\u6570\u30c7\u30fc\u30bf\u3092\u3082\u3068\u306b\uff0c\u5bfe\u8c61\u8005\u306e\u5c5e\u6027\u3068\u6642\u523b\u6bce\u306e\u6b69\u6570\u30d1\u30bf\u30fc\u30f3\u304c\u985e\u4f3c\u3057\uff0c\u304b\u3064\u6b69\u6570\u304c\u591a\u3044\u8005\u3092\u62bd\u51fa\u3057\uff0c\u305d\u306e\u8005\u306e\u6b69\u6570\u3092\u77ed\u671f\u76ee\u6a19\u3068\u3057\u3066\u63d0\u793a\u3059\u308b\u6a5f\u69cb\u3092\u8a2d\u8a08\u30fb\u958b\u767a\u3057\u305f.10 \u540d\u306e\u5b9f\u9a13 \u53c2\u52a0\u8005\u306b\u5bfe\u3057\u3066\uff0c\u524d\u8ff0\u306e\u6a5f\u69cb\u3092\u7528\u3044\u3066\u62bd\u51fa\u3057\u305f\u77ed\u671f\u76ee\u6a19\u3092\u63d0\u793a\u3057\u305f\u3068\u3053\u308d\uff0c\u5b9f\u9a13\u53c2\u52a0\u8005\u306f\u63d0\u6848\u306b\u5bfe\u3057\u9ad8\u3044 \u81ea\u5df1\u52b9\u529b\u611f\u3092\u793a\u3057\u305f.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('639','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_Inproceedings\">Inproceedings<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">20.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Zengyi Han, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">RideStyle: Riding Style Representation from Head-Body Dynamics via Adversarial Learning <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, <\/span><span class=\"tp_pub_additional_address\">Shanghai, China, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_652\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('652','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/mobiquitous.eai-conferences.org\/2025\/program\/\" title=\"https:\/\/mobiquitous.eai-conferences.org\/2025\/program\/\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_652\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{2025mobiquitous_han,<br \/>\r\ntitle = {RideStyle: Riding Style Representation from Head-Body Dynamics via Adversarial Learning},<br \/>\r\nauthor = {Zengyi Han and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/mobiquitous.eai-conferences.org\/2025\/program\/},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-11-07},<br \/>\r\nbooktitle = {EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},<br \/>\r\naddress = {Shanghai, China},<br \/>\r\nseries = {MobiQuitous},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('652','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">21.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Xuefu Dong, Liqiang Xu, Lixing He, Zengyi Han, Kenneth Christofferson, Yifei Chen, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Recognizing Hidden-in-the-Ear Private Key for Reliable Silent Speech Interface Using Multi-Task Learning <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Companion of the 2025 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Finland, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_649\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('649','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_649\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('649','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_649\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{ubicomp2025_dong,<br \/>\r\ntitle = {Recognizing Hidden-in-the-Ear Private Key for Reliable Silent Speech Interface Using Multi-Task Learning},<br \/>\r\nauthor = {Xuefu Dong and Liqiang Xu and Lixing He and Zengyi Han and Kenneth Christofferson and Yifei Chen and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-10-16},<br \/>\r\nurldate = {2025-10-16},<br \/>\r\nbooktitle = {Companion of the 2025 on ACM International Joint Conference on Pervasive and Ubiquitous Computing},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Finland},<br \/>\r\nseries = {UbiComp &#039;25},<br \/>\r\nabstract = {We explore a silent speech pathway that learns a person-specific \u201chidden-in-the-ear\u201d key by jointly modeling whisper-like audio and subtle ear-canal\/muscle movements. Using multi-task learning, the system links these signals to produce a robust, privacy-aware biometric that strengthens authentication and improves reliability for earable-based silent speech interfaces.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('649','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_649\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We explore a silent speech pathway that learns a person-specific \u201chidden-in-the-ear\u201d key by jointly modeling whisper-like audio and subtle ear-canal\/muscle movements. Using multi-task learning, the system links these signals to produce a robust, privacy-aware biometric that strengthens authentication and improves reliability for earable-based silent speech interfaces.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('649','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">22.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Jia Tang, Xiuwen Gu, Akihito Taya, Kaoru Sezaki, Yuuki Nishiyama<\/p><p class=\"tp_pub_title\">Toward Detecting Postpartum Depression Using Passive Mobile Sensing: Exploratory Analysis <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Companion of the 2025 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Finland, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_650\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('650','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/doi.org\/10.1145\/3714394.3754405\" title=\"https:\/\/doi.org\/10.1145\/3714394.3754405\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1145\/3714394.3754405\" title=\"Follow DOI:10.1145\/3714394.3754405\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_650\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10.1145\/3714394.3754405,<br \/>\r\ntitle = {Toward Detecting Postpartum Depression Using Passive Mobile Sensing: Exploratory Analysis},<br \/>\r\nauthor = {Jia Tang and Xiuwen Gu and Akihito Taya and Kaoru Sezaki and Yuuki Nishiyama},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3714394.3754405},<br \/>\r\ndoi = {10.1145\/3714394.3754405},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-10-12},<br \/>\r\nurldate = {2025-10-12},<br \/>\r\nbooktitle = {Companion of the 2025 on ACM International Joint Conference on Pervasive and Ubiquitous Computing},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Finland},<br \/>\r\nseries = {UbiComp &#039;25},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('650','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">23.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Helinyi Peng, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">AEDHunter: Investigating and Enhancing AED Retrieval through a Mobile Application <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <span class=\"tp_pub_type\" style=\"background-color:crimson;\">Open Access<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">New York, NY, USA, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 9798400713958<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_646\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('646','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_646\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('646','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3719746\" title=\"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3719746\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1145\/3706599.3719746\" title=\"Follow DOI:10.1145\/3706599.3719746\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_646\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10.1145\/3706599.3719746,<br \/>\r\ntitle = {AEDHunter: Investigating and Enhancing AED Retrieval through a Mobile Application},<br \/>\r\nauthor = {Helinyi Peng and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3719746},<br \/>\r\ndoi = {10.1145\/3706599.3719746},<br \/>\r\nisbn = {9798400713958},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-04-25},<br \/>\r\nurldate = {2025-04-25},<br \/>\r\nbooktitle = {Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {New York, NY, USA},<br \/>\r\nseries = {CHI EA &#039;25},<br \/>\r\nabstract = {Early defibrillation improves survival rates in out-of-hospital cardiac arrest (OHCA), yet public use of automated external defibrillators (AEDs) remains low due to unawareness of their locations. Existing solutions like 2D maps are often insufficient during emergencies, especially indoors where navigation is challenging. We developed AEDHunter, a gamified, location-based mobile application that enhances public awareness of AED locations by transforming the retrieval process into an engaging adventure. AEDHunter leverages smartphone sensors to analyze user retrieval patterns and navigation behaviors in real-world environments. Through experiments involving repeated interactions with AEDHunter, we investigate how users\u2019 confidence, willingness, and behaviors in locating AEDs evolve. We also introduce a semi-supervised classification method to detect mobile device usage during these tasks, laying the groundwork for analyzing nuanced AED retrieval behaviors. This work-in-progress provides initial insights into enhancing AED awareness and retrieval through gamified applications.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('646','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_646\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Early defibrillation improves survival rates in out-of-hospital cardiac arrest (OHCA), yet public use of automated external defibrillators (AEDs) remains low due to unawareness of their locations. Existing solutions like 2D maps are often insufficient during emergencies, especially indoors where navigation is challenging. We developed AEDHunter, a gamified, location-based mobile application that enhances public awareness of AED locations by transforming the retrieval process into an engaging adventure. AEDHunter leverages smartphone sensors to analyze user retrieval patterns and navigation behaviors in real-world environments. Through experiments involving repeated interactions with AEDHunter, we investigate how users\u2019 confidence, willingness, and behaviors in locating AEDs evolve. We also introduce a semi-supervised classification method to detect mobile device usage during these tasks, laying the groundwork for analyzing nuanced AED retrieval behaviors. This work-in-progress provides initial insights into enhancing AED awareness and retrieval through gamified applications.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('646','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><h3 class=\"tp_h3\" id=\"tp_h3_Journal Articles\">Journal Articles<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">24.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Ayaka Onodera, Riku Ishioka, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Multi-label Classification Model for Infant Activity Recognition Using Single Inertial Sensor <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Pervasive Computing, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-10, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_631\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('631','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_631\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('631','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1109\/MPRV.2024.3462483\" title=\"Follow DOI:10.1109\/MPRV.2024.3462483\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_631\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{ieee_pc2024,<br \/>\r\ntitle = {Multi-label Classification Model for Infant Activity Recognition Using Single Inertial Sensor},<br \/>\r\nauthor = {Ayaka Onodera and Riku Ishioka and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\ndoi = {10.1109\/MPRV.2024.3462483},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-11-01},<br \/>\r\nurldate = {2024-11-01},<br \/>\r\njournal = {IEEE Pervasive Computing},<br \/>\r\npages = {1-10},<br \/>\r\npublisher = {IEEE Computer Society},<br \/>\r\naddress = {Los Alamitos, CA, USA},<br \/>\r\nabstract = {Recording and sharing childcare information is crucial for accurately assessing a child's health status and taking appropriate action in case of illness or other emergencies. Although numerous applications and systems have been proposed to assist in recording and sharing these records, the process is still performed manually, presenting a significant burden for parents. Therefore, automatic recording of infants' daily activities is required. In this study, we implement a machine learning model to recognize multi-labeled infant activities using a chest-mounted low-sampling rate accelerometer. We collected accelerometer data from twenty-four infants between 6 and 24 months as a dataset. Based on the data, we extracted 25 time- and frequency-domain features calculated from the single accelerometer and user features to recognize the fourteen daily activities. The performance evaluation considering multi-label classification showed that our proposed model reaches over 88% in the F1 score in the best case.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('631','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_631\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Recording and sharing childcare information is crucial for accurately assessing a child's health status and taking appropriate action in case of illness or other emergencies. Although numerous applications and systems have been proposed to assist in recording and sharing these records, the process is still performed manually, presenting a significant burden for parents. Therefore, automatic recording of infants' daily activities is required. In this study, we implement a machine learning model to recognize multi-labeled infant activities using a chest-mounted low-sampling rate accelerometer. We collected accelerometer data from twenty-four infants between 6 and 24 months as a dataset. Based on the data, we extracted 25 time- and frequency-domain features calculated from the single accelerometer and user features to recognize the fourteen daily activities. The performance evaluation considering multi-label classification showed that our proposed model reaches over 88% in the F1 score in the best case.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('631','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">25.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEICE Transactions on Communications, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_630\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('630','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_630\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('630','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_630\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{ieice2024_hosonuma,<br \/>\r\ntitle = {Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks},<br \/>\r\nauthor = {Eri Hosonuma and Taku Yamazaki and Takumi Miyoshi and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-08-28},<br \/>\r\njournal = {IEICE Transactions on Communications},<br \/>\r\nabstract = {To reduce network traffic and support environments with limited re- <br \/>\r\nsources, a method for transmitting images with minimal transmission data <br \/>\r\nis required. Several machine learning-based image compression methods, <br \/>\r\nwhich compress the data size of images while maintaining their features, <br \/>\r\nhave been proposed. However, in certain situations, reconstructing only <br \/>\r\nthe semantic information of images at the receiver end may be sufficient. <br \/>\r\nTo realize this concept, semantic-information-based communication, called <br \/>\r\nsemantic communication, has been proposed, along with an image transmis- <br \/>\r\nsion method using semantic communication. This method transmits only <br \/>\r\nthe semantic information of an image, and the receiver reconstructs it using <br \/>\r\nan image-generation model. This method utilizes a single type of semantic <br \/>\r\ninformation for image reconstruction, but reconstructing images similar to <br \/>\r\nthe original image using only this information is challenging. This study <br \/>\r\nproposes a multi-modal image transmission method that leverages various <br \/>\r\ntypes of semantic information for efficient semantic communication. The <br \/>\r\nproposed method extracts multi-modal semantic information from an orig- <br \/>\r\ninal image and transmits only that to a receiver. Subsequently, the receiver <br \/>\r\ngenerates multiple images using an image-generation model and selects an <br \/>\r\noutput image based on semantic similarity. The receiver must select the <br \/>\r\nresult based only on the received features; however, evaluating semantic <br \/>\r\nsimilarity using conventional metrics is challenging. Therefore, this study <br \/>\r\nexplores new metrics to evaluate the similarity between semantic features <br \/>\r\nof images and proposes two scoring procedures for evaluating semantic <br \/>\r\nsimilarity between images based on multiple semantic features. The results <br \/>\r\nindicate that the proposed procedures can compare semantic similarities, <br \/>\r\nsuch as position and composition, between the semantic features of the <br \/>\r\noriginal and generated images.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('630','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_630\" style=\"display:none;\"><div class=\"tp_abstract_entry\">To reduce network traffic and support environments with limited re- <br \/>\r\nsources, a method for transmitting images with minimal transmission data <br \/>\r\nis required. Several machine learning-based image compression methods, <br \/>\r\nwhich compress the data size of images while maintaining their features, <br \/>\r\nhave been proposed. However, in certain situations, reconstructing only <br \/>\r\nthe semantic information of images at the receiver end may be sufficient. <br \/>\r\nTo realize this concept, semantic-information-based communication, called <br \/>\r\nsemantic communication, has been proposed, along with an image transmis- <br \/>\r\nsion method using semantic communication. This method transmits only <br \/>\r\nthe semantic information of an image, and the receiver reconstructs it using <br \/>\r\nan image-generation model. This method utilizes a single type of semantic <br \/>\r\ninformation for image reconstruction, but reconstructing images similar to <br \/>\r\nthe original image using only this information is challenging. This study <br \/>\r\nproposes a multi-modal image transmission method that leverages various <br \/>\r\ntypes of semantic information for efficient semantic communication. The <br \/>\r\nproposed method extracts multi-modal semantic information from an orig- <br \/>\r\ninal image and transmits only that to a receiver. Subsequently, the receiver <br \/>\r\ngenerates multiple images using an image-generation model and selects an <br \/>\r\noutput image based on semantic similarity. The receiver must select the <br \/>\r\nresult based only on the received features; however, evaluating semantic <br \/>\r\nsimilarity using conventional metrics is challenging. Therefore, this study <br \/>\r\nexplores new metrics to evaluate the similarity between semantic features <br \/>\r\nof images and proposes two scoring procedures for evaluating semantic <br \/>\r\nsimilarity between images based on multiple semantic features. The results <br \/>\r\nindicate that the proposed procedures can compare semantic similarities, <br \/>\r\nsuch as position and composition, between the semantic features of the <br \/>\r\noriginal and generated images.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('630','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">26.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, Alex Pentland<\/p><p class=\"tp_pub_title\">YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_type\" style=\"background-color:crimson;\">Open Access<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Scientific Data, <\/span><span class=\"tp_pub_additional_volume\">11 <\/span><span class=\"tp_pub_additional_number\">(1), <\/span><span class=\"tp_pub_additional_pages\">pp. 397, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 2052-4463<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_620\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('620','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_620\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('620','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/doi.org\/10.1038\/s41597-024-03237-9\" title=\"https:\/\/doi.org\/10.1038\/s41597-024-03237-9\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1038\/s41597-024-03237-9\" title=\"Follow DOI:10.1038\/s41597-024-03237-9\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_620\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{YJMob100K_sezalo,<br \/>\r\ntitle = {YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories},<br \/>\r\nauthor = {Takahiro Yabe and Kota Tsubouchi and Toru Shimizu and Yoshihide Sekimoto and Kaoru Sezaki and Esteban Moro and Alex Pentland},<br \/>\r\nurl = {https:\/\/doi.org\/10.1038\/s41597-024-03237-9},<br \/>\r\ndoi = {10.1038\/s41597-024-03237-9},<br \/>\r\nisbn = {2052-4463},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-04-18},<br \/>\r\nurldate = {2024-04-18},<br \/>\r\njournal = {Scientific Data},<br \/>\r\nvolume = {11},<br \/>\r\nnumber = {1},<br \/>\r\npages = {397},<br \/>\r\nabstract = {Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications including transportation modeling, disaster management, and urban planning. The recent availability of large-scale human movement data collected from mobile devices has enabled the development of complex human mobility prediction models. However, human mobility prediction methods are often trained and tested on different datasets, due to the lack of open-source large-scale human mobility datasets amid privacy concerns, posing a challenge towards conducting transparent performance comparisons between methods. To this end, we created an open-source, anonymized, metropolitan scale, and longitudinal (75 days) dataset of 100,000 individuals'human mobility trajectories, using mobile phone location data provided by Yahoo Japan Corporation (currently renamed to LY Corporation), named YJMob100K. The location pings are spatially and temporally discretized, and the metropolitan area is undisclosed to protect users'privacy. The 90-day period is composed of 75 days of business-as-usual and 15 days during an emergency, to test human mobility predictability during both normal and anomalous situations.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('620','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_620\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications including transportation modeling, disaster management, and urban planning. The recent availability of large-scale human movement data collected from mobile devices has enabled the development of complex human mobility prediction models. However, human mobility prediction methods are often trained and tested on different datasets, due to the lack of open-source large-scale human mobility datasets amid privacy concerns, posing a challenge towards conducting transparent performance comparisons between methods. To this end, we created an open-source, anonymized, metropolitan scale, and longitudinal (75 days) dataset of 100,000 individuals&#039;human mobility trajectories, using mobile phone location data provided by Yahoo Japan Corporation (currently renamed to LY Corporation), named YJMob100K. The location pings are spatially and temporally discretized, and the metropolitan area is undisclosed to protect users&#039;privacy. The 90-day period is composed of 75 days of business-as-usual and 15 days during an emergency, to test human mobility predictability during both normal and anomalous situations.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('620','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_Conferences\">Conferences<\/h3><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">27.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">\u95a2\u6570\u7a7a\u9593\u306b\u304a\u3051\u308b\u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u3092\u7528\u3044\u305f\u77e5\u8b58\u84b8\u7559\u306b\u3088\u308b\u5206\u6563\u578b\u9023\u5408\u5b66\u7fd2 <span class=\"tp_pub_type conference\">Conference<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aRISING2024\u7814\u7a76\u4f1a, <\/span><span class=\"tp_pub_additional_publisher\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u672d\u5e4c, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_634\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('634','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_634\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('634','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/www.ieice.org\/~rising\/jpn\/2024\/index.html\" title=\"https:\/\/www.ieice.org\/~rising\/jpn\/2024\/index.html\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_634\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{RISING_Taya,<br \/>\r\ntitle = {\u95a2\u6570\u7a7a\u9593\u306b\u304a\u3051\u308b\u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u3092\u7528\u3044\u305f\u77e5\u8b58\u84b8\u7559\u306b\u3088\u308b\u5206\u6563\u578b\u9023\u5408\u5b66\u7fd2},<br \/>\r\nauthor = {\u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nurl = {https:\/\/www.ieice.org\/~rising\/jpn\/2024\/index.html},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-11-11},<br \/>\r\nurldate = {2024-11-11},<br \/>\r\nbooktitle = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aRISING2024\u7814\u7a76\u4f1a},<br \/>\r\npublisher = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a},<br \/>\r\naddress = {\u672d\u5e4c},<br \/>\r\nabstract = {\u9ad8\u54c1\u8cea\u306a\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u308b\u5b66\u7fd2\u304c\u6c42\u3081\u3089\u308c\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\uff0c\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u306e\u554f\u984c\u3084\u30c7\u30fc\u30bf\u306e\u6240\u6709\u6a29\u306e\u554f\u984c\u304b\u3089\uff0c\u30c7\u30fc\u30bf\u3092\u96c6\u7d04\u3059\u308b\u3053\u3068\u304c\u96e3\u3057\u3044\u5834\u5408\u304c\u3042\u308b\uff0e\u3053\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\uff0c\u30c7\u30fc\u30bf\u306e\u6240\u6709\u8005\u304c\u500b\u3005\u306b\u5b66\u7fd2\u3092\u884c\u3044\uff0c\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5171\u6709\u3059\u308b\u3053\u3068\u3067\uff0c\u30c7\u30fc\u30bf\u3092\u96c6\u7d04\u3059\u308b\u3053\u3068\u306a\u304f\u5b66\u7fd2\u3092\u884c\u3046\u9023\u5408\u5b66\u7fd2\u304c\u63d0\u6848\u3055\u308c\u3066\u3044\u308b\uff0e\u8457\u8005\u3089\u306f[1]\u306b\u304a\u3044\u3066\uff0cIoT\u7aef\u672b\u3084\u30bb\u30f3\u30b5\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5411\u3051\u306e\u9023\u5408\u5b66\u7fd2\u624b\u6cd5\u3068\u3057\u3066\uff0c\u30b5\u30fc\u30d0\u3092\u7528\u3044\u306a\u3044\u5206\u6563\u578b\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u304b\u3064\uff0c\u77e5\u8b58\u84b8\u7559\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u901a\u4fe1\u91cf\u524a\u6e1b\u3068\u7570\u7a2e\u30e2\u30c7\u30eb\u6df7\u5728\u74b0\u5883\u3067\u306e\u5b66\u7fd2\u3092\u53ef\u80fd\u306b\u3059\u308b\u5b66\u7fd2\u624b\u6cd5\u3092\u63d0\u6848\u3057\u305f\uff0e\u3053\u306e\u624b\u6cd5\u306f\u95a2\u6570\u7a7a\u9593\u306b\u304a\u3051\u308b\u5206\u6563\u5408\u610f\u6700\u9069\u5316\u3092\u884c\u3046\u3053\u3068\u3067\uff0c\u30b5\u30fc\u30d0\u3092\u7528\u3044\u306a\u3044\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u73fe\u3057\u305f\uff0e\u672c\u7a3f\u3067\u306f\uff0c\u5206\u6563\u5408\u610f\u6700\u9069\u5316\u3088\u308a\u3082\u9ad8\u901f\u306b\u53ce\u675f\u3059\u308b\u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u3092\u7528\u3044\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u63d0\u6848\u624b\u6cd5\u306f\u95a2\u6570\u7a7a\u9593\u4e0a\u3067\u306e\u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u306b\u3088\u308b\u30e2\u30c7\u30eb\u66f4\u65b0\u3092\u76ee\u6307\u3057\u3066\uff0c\u77e5\u8b58\u84b8\u7559\u306b\u3088\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u66f4\u65b0\u3092\u884c\u3046\uff0e\u307e\u305f\uff0c\u63d0\u6848\u624b\u6cd5\u3068\u65e2\u5b58\u624b\u6cd5\u306b\u3088\u308b\u53ce\u675f\u901f\u5ea6\u306e\u6bd4\u8f03\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u884c\u3046\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('634','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_634\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u9ad8\u54c1\u8cea\u306a\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u308b\u5b66\u7fd2\u304c\u6c42\u3081\u3089\u308c\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\uff0c\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u306e\u554f\u984c\u3084\u30c7\u30fc\u30bf\u306e\u6240\u6709\u6a29\u306e\u554f\u984c\u304b\u3089\uff0c\u30c7\u30fc\u30bf\u3092\u96c6\u7d04\u3059\u308b\u3053\u3068\u304c\u96e3\u3057\u3044\u5834\u5408\u304c\u3042\u308b\uff0e\u3053\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\uff0c\u30c7\u30fc\u30bf\u306e\u6240\u6709\u8005\u304c\u500b\u3005\u306b\u5b66\u7fd2\u3092\u884c\u3044\uff0c\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5171\u6709\u3059\u308b\u3053\u3068\u3067\uff0c\u30c7\u30fc\u30bf\u3092\u96c6\u7d04\u3059\u308b\u3053\u3068\u306a\u304f\u5b66\u7fd2\u3092\u884c\u3046\u9023\u5408\u5b66\u7fd2\u304c\u63d0\u6848\u3055\u308c\u3066\u3044\u308b\uff0e\u8457\u8005\u3089\u306f[1]\u306b\u304a\u3044\u3066\uff0cIoT\u7aef\u672b\u3084\u30bb\u30f3\u30b5\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5411\u3051\u306e\u9023\u5408\u5b66\u7fd2\u624b\u6cd5\u3068\u3057\u3066\uff0c\u30b5\u30fc\u30d0\u3092\u7528\u3044\u306a\u3044\u5206\u6563\u578b\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u304b\u3064\uff0c\u77e5\u8b58\u84b8\u7559\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u901a\u4fe1\u91cf\u524a\u6e1b\u3068\u7570\u7a2e\u30e2\u30c7\u30eb\u6df7\u5728\u74b0\u5883\u3067\u306e\u5b66\u7fd2\u3092\u53ef\u80fd\u306b\u3059\u308b\u5b66\u7fd2\u624b\u6cd5\u3092\u63d0\u6848\u3057\u305f\uff0e\u3053\u306e\u624b\u6cd5\u306f\u95a2\u6570\u7a7a\u9593\u306b\u304a\u3051\u308b\u5206\u6563\u5408\u610f\u6700\u9069\u5316\u3092\u884c\u3046\u3053\u3068\u3067\uff0c\u30b5\u30fc\u30d0\u3092\u7528\u3044\u306a\u3044\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u73fe\u3057\u305f\uff0e\u672c\u7a3f\u3067\u306f\uff0c\u5206\u6563\u5408\u610f\u6700\u9069\u5316\u3088\u308a\u3082\u9ad8\u901f\u306b\u53ce\u675f\u3059\u308b\u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u3092\u7528\u3044\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u63d0\u6848\u624b\u6cd5\u306f\u95a2\u6570\u7a7a\u9593\u4e0a\u3067\u306e\u4ea4\u4e92\u65b9\u5411\u4e57\u6570\u6cd5\u306b\u3088\u308b\u30e2\u30c7\u30eb\u66f4\u65b0\u3092\u76ee\u6307\u3057\u3066\uff0c\u77e5\u8b58\u84b8\u7559\u306b\u3088\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u66f4\u65b0\u3092\u884c\u3046\uff0e\u307e\u305f\uff0c\u63d0\u6848\u624b\u6cd5\u3068\u65e2\u5b58\u624b\u6cd5\u306b\u3088\u308b\u53ce\u675f\u901f\u5ea6\u306e\u6bd4\u8f03\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u884c\u3046\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('634','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">28.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u7d30\u6cbc\u6075\u91cc, \u5c71\u5d0e \u8a17, \u4e09\u597d \u5320, \u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e \u85ab<\/p><p class=\"tp_pub_title\">\u751f\u6210\u578b\u753b\u50cf\u4f1d\u9001\u624b\u6cd5\u306b\u304a\u3051\u308b\u30a8\u30c3\u30b8\u62bd\u51fa\u3092\u7528\u3044\u305f\u69cb\u56f3\u60c5\u5831\u306e\u518d\u73fe\u6027\u5411\u4e0a <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">2024\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a, <\/span><span class=\"tp_pub_additional_publisher\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u57fc\u7389, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_635\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('635','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_635\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('635','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/www.ieice.org\/jpn_r\/activities\/taikai\/society\/2024\/\" title=\"https:\/\/www.ieice.org\/jpn_r\/activities\/taikai\/society\/2024\/\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_635\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{IEICE_Hosonuma,<br \/>\r\ntitle = {\u751f\u6210\u578b\u753b\u50cf\u4f1d\u9001\u624b\u6cd5\u306b\u304a\u3051\u308b\u30a8\u30c3\u30b8\u62bd\u51fa\u3092\u7528\u3044\u305f\u69cb\u56f3\u60c5\u5831\u306e\u518d\u73fe\u6027\u5411\u4e0a},<br \/>\r\nauthor = {\u7d30\u6cbc\u6075\u91cc and \u5c71\u5d0e \u8a17 and \u4e09\u597d \u5320 and \u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e \u85ab},<br \/>\r\nurl = {https:\/\/www.ieice.org\/jpn_r\/activities\/taikai\/society\/2024\/},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-09-10},<br \/>\r\nbooktitle = {2024\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a},<br \/>\r\npages = {48},<br \/>\r\npublisher = {\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a},<br \/>\r\naddress = {\u57fc\u7389},<br \/>\r\nabstract = {\u901a\u4fe1\u30ea\u30bd\u30fc\u30b9\u304c\u5236\u9650\u3055\u308c\u305f\u74b0\u5883\u4e0b\u306b\u304a\u3044\u3066\u753b\u50cf\u3092\u4f1d\u9001\u3059\u308b\u305f\u3081\u306e\u624b\u6cd5\u3068\u3057\u3066\uff0c\u8457\u8005\u3089\u306f\u5143\u753b\u50cf\u304b\u3089\u62bd\u51fa\u3057\u305f\u610f\u5473\u60c5\u5831\u306b\u57fa\u3065\u304f\u751f\u6210\u578b\u753b\u50cf\u4f1d\u9001\u624b\u6cd5\u3092\u63d0\u6848\u3057\u3066\u3044\u308b\uff0e\u672c\u624b\u6cd5\u3067\u306f\uff0c\u9001\u4fe1\u7aef\u672b\u306f\u5143\u753b\u50cf\u304b\u3089\u8aac\u660e\u60c5\u5831\uff0c\u69cb\u56f3\u60c5\u5831\uff0c\u8272\u60c5\u5831\u306a\u3069\u306e\u610f\u5473\u60c5\u5831\u306e\u307f\u3092\u9001\u4fe1\u3059\u308b\u3053\u3068\u3067\u72ed\u5e2f\u57df\u901a\u4fe1\u3092\u5b9f\u73fe\u3059\u308b\uff0e\u305d\u306e\u5f8c\uff0c\u3053\u308c\u3089\u306e\u60c5\u5831\u3092\u53d7\u4fe1\u3057\u305f\u7aef\u672b\u306f\u753b\u50cf\u751f\u6210\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u5143\u753b\u50cf\u3092\u540c\u4e00\u306e\u610f\u5473\u60c5\u5831\u3092\u3082\u3063\u305f\u753b\u50cf\u3092\u5fa9\u5143\u3059\u308b\uff0e\u672c\u624b\u6cd5\u3067\u306f\uff0c\u753b\u50cf\u306b\u542b\u307e\u308c\u308b\u610f\u5473\u60c5\u5831\u3092\u62bd\u51fa\u3059\u308b\u305f\u3081\uff0c\u753b\u50cf\u30ad\u30e3\u30d7\u30b7\u30e7\u30cb\u30f3\u30b0\u53ca\u3073\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u7528\u3044\u3066\u30ad\u30e3\u30d7\u30b7\u30e7\u30f3\u3084\u9818\u57df\u5206\u5272\u753b\u50cf\u3092\u4f5c\u6210\u3059\u308b\uff0e\u3057\u304b\u3057\uff0c\u9818\u57df\u5206\u5272\u753b\u50cf\u5185\u306e\u80cc\u666f\u3068\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u90e8\u5206\u306e\u8272\u304c\u985e\u4f3c\u3057\u3066\u3044\u308b\u3068\u304d\uff0c\u53d7\u4fe1\u7aef\u672b\u5074\u3067\u69cb\u56f3\u60c5\u5831\u3092\u9069\u5207\u306b\u8a8d\u8b58\u3067\u304d\u305a\uff0c\u6b63\u3057\u3044\u69cb\u56f3\u304c\u518d\u73fe\u3055\u308c\u306a\u3044\u554f\u984c\u304c\u3042\u3063\u305f\uff0e\u305d\u3053\u3067\u672c\u7a3f\u3067\u306f\uff0c\u9818\u57df\u5206\u5272\u753b\u50cf\u306b\u4ee3\u3048\u3066\u30a8\u30c3\u30b8\u753b\u50cf\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u3067\uff0c\u6b63\u78ba\u306b\u69cb\u56f3\u60c5\u5831\u3092\u518d\u73fe\u3067\u304d\u308b\u751f\u6210\u578b\u753b\u50cf\u4f1d\u9001\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('635','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_635\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u901a\u4fe1\u30ea\u30bd\u30fc\u30b9\u304c\u5236\u9650\u3055\u308c\u305f\u74b0\u5883\u4e0b\u306b\u304a\u3044\u3066\u753b\u50cf\u3092\u4f1d\u9001\u3059\u308b\u305f\u3081\u306e\u624b\u6cd5\u3068\u3057\u3066\uff0c\u8457\u8005\u3089\u306f\u5143\u753b\u50cf\u304b\u3089\u62bd\u51fa\u3057\u305f\u610f\u5473\u60c5\u5831\u306b\u57fa\u3065\u304f\u751f\u6210\u578b\u753b\u50cf\u4f1d\u9001\u624b\u6cd5\u3092\u63d0\u6848\u3057\u3066\u3044\u308b\uff0e\u672c\u624b\u6cd5\u3067\u306f\uff0c\u9001\u4fe1\u7aef\u672b\u306f\u5143\u753b\u50cf\u304b\u3089\u8aac\u660e\u60c5\u5831\uff0c\u69cb\u56f3\u60c5\u5831\uff0c\u8272\u60c5\u5831\u306a\u3069\u306e\u610f\u5473\u60c5\u5831\u306e\u307f\u3092\u9001\u4fe1\u3059\u308b\u3053\u3068\u3067\u72ed\u5e2f\u57df\u901a\u4fe1\u3092\u5b9f\u73fe\u3059\u308b\uff0e\u305d\u306e\u5f8c\uff0c\u3053\u308c\u3089\u306e\u60c5\u5831\u3092\u53d7\u4fe1\u3057\u305f\u7aef\u672b\u306f\u753b\u50cf\u751f\u6210\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u5143\u753b\u50cf\u3092\u540c\u4e00\u306e\u610f\u5473\u60c5\u5831\u3092\u3082\u3063\u305f\u753b\u50cf\u3092\u5fa9\u5143\u3059\u308b\uff0e\u672c\u624b\u6cd5\u3067\u306f\uff0c\u753b\u50cf\u306b\u542b\u307e\u308c\u308b\u610f\u5473\u60c5\u5831\u3092\u62bd\u51fa\u3059\u308b\u305f\u3081\uff0c\u753b\u50cf\u30ad\u30e3\u30d7\u30b7\u30e7\u30cb\u30f3\u30b0\u53ca\u3073\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u7528\u3044\u3066\u30ad\u30e3\u30d7\u30b7\u30e7\u30f3\u3084\u9818\u57df\u5206\u5272\u753b\u50cf\u3092\u4f5c\u6210\u3059\u308b\uff0e\u3057\u304b\u3057\uff0c\u9818\u57df\u5206\u5272\u753b\u50cf\u5185\u306e\u80cc\u666f\u3068\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u90e8\u5206\u306e\u8272\u304c\u985e\u4f3c\u3057\u3066\u3044\u308b\u3068\u304d\uff0c\u53d7\u4fe1\u7aef\u672b\u5074\u3067\u69cb\u56f3\u60c5\u5831\u3092\u9069\u5207\u306b\u8a8d\u8b58\u3067\u304d\u305a\uff0c\u6b63\u3057\u3044\u69cb\u56f3\u304c\u518d\u73fe\u3055\u308c\u306a\u3044\u554f\u984c\u304c\u3042\u3063\u305f\uff0e\u305d\u3053\u3067\u672c\u7a3f\u3067\u306f\uff0c\u9818\u57df\u5206\u5272\u753b\u50cf\u306b\u4ee3\u3048\u3066\u30a8\u30c3\u30b8\u753b\u50cf\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u3067\uff0c\u6b63\u78ba\u306b\u69cb\u56f3\u60c5\u5831\u3092\u518d\u73fe\u3067\u304d\u308b\u751f\u6210\u578b\u753b\u50cf\u4f1d\u9001\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('635','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">29.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u9867\u4fee\u805e, \u7530\u8c37\u662d\u4ec1, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab<\/p><p class=\"tp_pub_title\">\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306e\u691c\u77e5\u306b\u5411\u3051\u305f\u57fa\u790e\u7684\u8abf\u67fb <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09, <\/span><span class=\"tp_pub_additional_volume\">2024-UBI-82 <\/span>, <span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_627\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('627','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_627\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('627','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_627\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{ubi82_gu,<br \/>\r\ntitle = {\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306e\u691c\u77e5\u306b\u5411\u3051\u305f\u57fa\u790e\u7684\u8abf\u67fb},<br \/>\r\nauthor = {\u9867\u4fee\u805e and \u7530\u8c37\u662d\u4ec1 and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-01},<br \/>\r\nurldate = {2024-05-01},<br \/>\r\nbooktitle = {\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09},<br \/>\r\nvolume = {2024-UBI-82},<br \/>\r\npages = {1 - 8},<br \/>\r\nabstract = {\u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306f\u3001\u80b2\u5150\u306e\u904e\u7a0b\u3067\u767a\u751f\u3059\u308b\u6162\u6027\u7684\u306a\u30b9\u30c8\u30ec\u30b9\u306b\u3088\u3063\u3066\u5f15\u304d\u8d77\u3053\u3055\u308c\u308b\u5fc3\u7406\u7684\u306a\u72b6\u614b\u3067\u3042\u308b\uff0e \u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306e\u60aa\u5316\u306f\u7523\u5f8c\u3046\u3064\u3092\u306f\u3058\u3081\u3068\u3059\u308b\uff0c\u3046\u3064\u75c5\u306b\u9032\u884c\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\uff0c\u65e9\u671f\u767a\u898b\u304c\u91cd\u8981\u3067\u3042\u308b\uff0e \u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u3046\u3064\u75c7\u72b6\u306e\u691c\u77e5\u624b\u6cd5\u306f\u6570\u591a\u304f\u63d0\u6848\u3055\u308c\u3066\u3044\u308b\u304c\uff0c\u672a\u5c31\u5b66\u5150\u3092\u80b2\u3066\u308b\u7236\u6bcd\u3092\u5bfe\u8c61\u3068\u3057\u305f\u7814\u7a76\u306f\u9650\u3089\u308c\u3066\u304a\u308a\uff0c\u305d\u306e\u884c\u52d5\u30d1\u30bf\u30fc\u30f3\u3084\u5fc3\u7406\u72b6\u614b\u306b\u95a2\u3059\u308b\u5ba2\u89b3\u7684\u306a\u60c5\u5831\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\uff0e \u305d\u3053\u3067\u672c\u7814\u7a76\u3067\u306f\uff0c\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306e\u691c\u77e5\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u306b\u5411\u3051\u3066\uff0c\u672a\u5c31\u5b66\u5150\u3092\u80b2\u3066\u308b\u7236\u6bcd\u3092\u542b\u3080\uff0c135\u540d\u304b\u3089\u884c\u52d5\u30c7\u30fc\u30bf\u304a\u3088\u3073\u5fc3\u7406\u72b6\u614b\u3092\u53ce\u96c6\u3057\uff0c\u65ad\u9762\u5206\u6790\u3092\u884c\u306a\u3063\u305f\uff0e \u7279\u306b\u6b69\u6570\uff0c\u4f4d\u7f6e\u60c5\u5831\uff0c\u901a\u8a71\u983b\u5ea6\uff0c\u5fc3\u7406\u72b6\u614b\u306e\u5206\u6790\u3092\u884c\u3044\uff0c\u672a\u5c31\u5b66\u5150\u3092\u80b2\u3066\u308b\u5bb6\u5ead\u306e\u884c\u52d5\u30d1\u30bf\u30fc\u30f3\u306e\u7279\u5fb4\u3092\u660e\u3089\u304b\u306b\u3057\u305f\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('627','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_627\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306f\u3001\u80b2\u5150\u306e\u904e\u7a0b\u3067\u767a\u751f\u3059\u308b\u6162\u6027\u7684\u306a\u30b9\u30c8\u30ec\u30b9\u306b\u3088\u3063\u3066\u5f15\u304d\u8d77\u3053\u3055\u308c\u308b\u5fc3\u7406\u7684\u306a\u72b6\u614b\u3067\u3042\u308b\uff0e \u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306e\u60aa\u5316\u306f\u7523\u5f8c\u3046\u3064\u3092\u306f\u3058\u3081\u3068\u3059\u308b\uff0c\u3046\u3064\u75c5\u306b\u9032\u884c\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\uff0c\u65e9\u671f\u767a\u898b\u304c\u91cd\u8981\u3067\u3042\u308b\uff0e \u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u3046\u3064\u75c7\u72b6\u306e\u691c\u77e5\u624b\u6cd5\u306f\u6570\u591a\u304f\u63d0\u6848\u3055\u308c\u3066\u3044\u308b\u304c\uff0c\u672a\u5c31\u5b66\u5150\u3092\u80b2\u3066\u308b\u7236\u6bcd\u3092\u5bfe\u8c61\u3068\u3057\u305f\u7814\u7a76\u306f\u9650\u3089\u308c\u3066\u304a\u308a\uff0c\u305d\u306e\u884c\u52d5\u30d1\u30bf\u30fc\u30f3\u3084\u5fc3\u7406\u72b6\u614b\u306b\u95a2\u3059\u308b\u5ba2\u89b3\u7684\u306a\u60c5\u5831\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\uff0e \u305d\u3053\u3067\u672c\u7814\u7a76\u3067\u306f\uff0c\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u80b2\u5150\u30ce\u30a4\u30ed\u30fc\u30bc\u306e\u691c\u77e5\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u306b\u5411\u3051\u3066\uff0c\u672a\u5c31\u5b66\u5150\u3092\u80b2\u3066\u308b\u7236\u6bcd\u3092\u542b\u3080\uff0c135\u540d\u304b\u3089\u884c\u52d5\u30c7\u30fc\u30bf\u304a\u3088\u3073\u5fc3\u7406\u72b6\u614b\u3092\u53ce\u96c6\u3057\uff0c\u65ad\u9762\u5206\u6790\u3092\u884c\u306a\u3063\u305f\uff0e \u7279\u306b\u6b69\u6570\uff0c\u4f4d\u7f6e\u60c5\u5831\uff0c\u901a\u8a71\u983b\u5ea6\uff0c\u5fc3\u7406\u72b6\u614b\u306e\u5206\u6790\u3092\u884c\u3044\uff0c\u672a\u5c31\u5b66\u5150\u3092\u80b2\u3066\u308b\u5bb6\u5ead\u306e\u884c\u52d5\u30d1\u30bf\u30fc\u30f3\u306e\u7279\u5fb4\u3092\u660e\u3089\u304b\u306b\u3057\u305f\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('627','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">30.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u4f0a\u85e4\u611b\u9999, \u576a\u5185\u5b5d\u592a, \u897f\u5c3e\u4fe1\u5f66, \u4e0b\u5742\u6b63\u502b, \u7530\u8c37\u662d\u4ec1, \u702c\u5d0e\u85ab, \u897f\u5c71\u52c7\u6bc5<\/p><p class=\"tp_pub_title\">\u5e38\u6642\u88c5\u7740\u578b\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u5229\u7528\u74b0\u5883\u306b\u304a\u3051\u308b\u97f3\u58f0\u901a\u77e5\u30bf\u30a4\u30df\u30f3\u30b0\u6700\u9069\u5316\u306b\u5411\u3051\u305f\u57fa\u790e\u691c\u8a0e <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09, <\/span><span class=\"tp_pub_additional_volume\">2024-UBI-82 <\/span>, <span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_626\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('626','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_626\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('626','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_626\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{ubi82_ito,<br \/>\r\ntitle = {\u5e38\u6642\u88c5\u7740\u578b\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u5229\u7528\u74b0\u5883\u306b\u304a\u3051\u308b\u97f3\u58f0\u901a\u77e5\u30bf\u30a4\u30df\u30f3\u30b0\u6700\u9069\u5316\u306b\u5411\u3051\u305f\u57fa\u790e\u691c\u8a0e},<br \/>\r\nauthor = {\u4f0a\u85e4\u611b\u9999 and \u576a\u5185\u5b5d\u592a and \u897f\u5c3e\u4fe1\u5f66 and \u4e0b\u5742\u6b63\u502b and \u7530\u8c37\u662d\u4ec1 and \u702c\u5d0e\u85ab and \u897f\u5c71\u52c7\u6bc5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-01},<br \/>\r\nurldate = {2024-05-01},<br \/>\r\nbooktitle = {\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09},<br \/>\r\nvolume = {2024-UBI-82},<br \/>\r\npages = {1 - 7},<br \/>\r\nabstract = {\u8fd1\u5e74, \u30a4\u30e4\u30db\u30f3\u3084\u30d8\u30c3\u30c9\u30db\u30f3\u306e\u3088\u3046\u306a\u8033\u306b\u5e38\u6642\u88c5\u7740\u3059\u308b\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u304c\u5e83\u304f\u666e\u53ca\u3057, \u305d\u306e\u767a\u5c55\u306b\u4f34\u3044\u97f3\u58f0\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8, \u97f3\u58f0\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u3084\u97f3\u58f0\u691c\u7d22\u306a\u3069, \u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u3092\u4ecb\u3057\u305f\u97f3\u58f0\u306b\u3088\u308b\u60c5\u5831\u63d0\u4f9b\u6a5f\u4f1a\u304c\u5897\u52a0\u3057\u3066\u3044\u308b. \u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306e\u5229\u7528\u30b7\u30fc\u30f3\u3068\u3057\u3066\u5c4b\u5916\u306e\u6b69\u884c\u4e2d\u304c\u6319\u3052\u3089\u308c\u308b\u304c, \u6b69\u884c\u4e2d\u306b\u901a\u77e5\u3092\u53d7\u3051\u53d6\u308b\u3053\u3068\u306f\u5468\u56f2\u3078\u306e\u6ce8\u610f\u529b\u306e\u4f4e\u4e0b\u306b\u5f71\u97ff\u3059\u308b\u305f\u3081, \u30e6\u30fc\u30b6\u304c\u53d7\u4fe1\u53ef\u80fd\u306a\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u901a\u77e5\u3092\u884c\u3046\u5fc5\u8981\u304c\u3042\u308b. \u5148\u884c\u7814\u7a76\u3067\u306f\u753b\u9762\u901a\u77e5\u306e\u6700\u9069\u5316\u306b\u3064\u3044\u3066\u5e45\u5e83\u304f\u7814\u7a76\u3055\u308c\u3066\u3044\u308b\u304c, \u97f3\u58f0\u901a\u77e5\u306b\u7740\u76ee\u3057\u305f\u7814\u7a76\u306f\u76f8\u5bfe\u7684\u306b\u4e0d\u8db3\u3057\u3066\u3044\u308b. \u305d\u3053\u3067, \u672c\u7814\u7a76\u306f\u6b69\u884c\u4e2d\u3068\u3044\u3046\u5229\u7528\u72b6\u6cc1\u306b\u7126\u70b9\u3092\u5f53\u3066, \u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u304a\u3088\u3073\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306e\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u3092\u6d3b\u7528\u3057\u305f\u97f3\u58f0\u901a\u77e5\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u6700\u9069\u5316\u306b\u3064\u3044\u3066\u691c\u8a0e\u3059\u308b. \u6b69\u884c\u4e2d\u306e\u97f3\u58f0\u901a\u77e5\u53d7\u4fe1\u53ef\u5426\u30bf\u30a4\u30df\u30f3\u30b0\u306b\u3064\u3044\u3066\u306e\u57fa\u790e\u8abf\u67fb\u306e\u7d50\u679c, \u4ed6\u306e\u4ea4\u901a\u3068\u306e\u885d\u7a81\u3092\u56de\u907f\u3059\u308b\u72b6\u6cc1\u3067\u306e\u97f3\u58f0\u901a\u77e5\u306f\u53d7\u4fe1\u62d2\u5426\u3055\u308c\u308b\u3053\u3068\u304c\u5206\u304b\u3063\u305f. \u672c\u7a3f\u3067\u306f, \u30c7\u30fc\u30bf\u53d6\u5f97\u306e\u305f\u3081\u306b\u958b\u767a\u3057\u305f\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3068\u57fa\u790e\u8abf\u67fb\u306e\u5206\u6790\u7d50\u679c, \u304a\u3088\u3073\u30e2\u30fc\u30b7\u30e7\u30f3\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u97f3\u58f0\u901a\u77e5\u53d7\u4fe1\u53ef\u5426\u30bf\u30a4\u30df\u30f3\u30b0\u691c\u51fa\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u53ef\u80fd\u6027\u306b\u3064\u3044\u3066\u5831\u544a\u3059\u308b.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('626','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_626\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u8fd1\u5e74, \u30a4\u30e4\u30db\u30f3\u3084\u30d8\u30c3\u30c9\u30db\u30f3\u306e\u3088\u3046\u306a\u8033\u306b\u5e38\u6642\u88c5\u7740\u3059\u308b\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u304c\u5e83\u304f\u666e\u53ca\u3057, \u305d\u306e\u767a\u5c55\u306b\u4f34\u3044\u97f3\u58f0\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8, \u97f3\u58f0\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u3084\u97f3\u58f0\u691c\u7d22\u306a\u3069, \u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u3092\u4ecb\u3057\u305f\u97f3\u58f0\u306b\u3088\u308b\u60c5\u5831\u63d0\u4f9b\u6a5f\u4f1a\u304c\u5897\u52a0\u3057\u3066\u3044\u308b. \u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306e\u5229\u7528\u30b7\u30fc\u30f3\u3068\u3057\u3066\u5c4b\u5916\u306e\u6b69\u884c\u4e2d\u304c\u6319\u3052\u3089\u308c\u308b\u304c, \u6b69\u884c\u4e2d\u306b\u901a\u77e5\u3092\u53d7\u3051\u53d6\u308b\u3053\u3068\u306f\u5468\u56f2\u3078\u306e\u6ce8\u610f\u529b\u306e\u4f4e\u4e0b\u306b\u5f71\u97ff\u3059\u308b\u305f\u3081, \u30e6\u30fc\u30b6\u304c\u53d7\u4fe1\u53ef\u80fd\u306a\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u901a\u77e5\u3092\u884c\u3046\u5fc5\u8981\u304c\u3042\u308b. \u5148\u884c\u7814\u7a76\u3067\u306f\u753b\u9762\u901a\u77e5\u306e\u6700\u9069\u5316\u306b\u3064\u3044\u3066\u5e45\u5e83\u304f\u7814\u7a76\u3055\u308c\u3066\u3044\u308b\u304c, \u97f3\u58f0\u901a\u77e5\u306b\u7740\u76ee\u3057\u305f\u7814\u7a76\u306f\u76f8\u5bfe\u7684\u306b\u4e0d\u8db3\u3057\u3066\u3044\u308b. \u305d\u3053\u3067, \u672c\u7814\u7a76\u306f\u6b69\u884c\u4e2d\u3068\u3044\u3046\u5229\u7528\u72b6\u6cc1\u306b\u7126\u70b9\u3092\u5f53\u3066, \u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u304a\u3088\u3073\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306e\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u3092\u6d3b\u7528\u3057\u305f\u97f3\u58f0\u901a\u77e5\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u6700\u9069\u5316\u306b\u3064\u3044\u3066\u691c\u8a0e\u3059\u308b. \u6b69\u884c\u4e2d\u306e\u97f3\u58f0\u901a\u77e5\u53d7\u4fe1\u53ef\u5426\u30bf\u30a4\u30df\u30f3\u30b0\u306b\u3064\u3044\u3066\u306e\u57fa\u790e\u8abf\u67fb\u306e\u7d50\u679c, \u4ed6\u306e\u4ea4\u901a\u3068\u306e\u885d\u7a81\u3092\u56de\u907f\u3059\u308b\u72b6\u6cc1\u3067\u306e\u97f3\u58f0\u901a\u77e5\u306f\u53d7\u4fe1\u62d2\u5426\u3055\u308c\u308b\u3053\u3068\u304c\u5206\u304b\u3063\u305f. \u672c\u7a3f\u3067\u306f, \u30c7\u30fc\u30bf\u53d6\u5f97\u306e\u305f\u3081\u306b\u958b\u767a\u3057\u305f\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3068\u57fa\u790e\u8abf\u67fb\u306e\u5206\u6790\u7d50\u679c, \u304a\u3088\u3073\u30e2\u30fc\u30b7\u30e7\u30f3\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u97f3\u58f0\u901a\u77e5\u53d7\u4fe1\u53ef\u5426\u30bf\u30a4\u30df\u30f3\u30b0\u691c\u51fa\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u53ef\u80fd\u6027\u306b\u3064\u3044\u3066\u5831\u544a\u3059\u308b.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('626','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">31.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u9867\u4fee\u805e, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab, \u7530\u8c37\u662d\u4ec1<\/p><p class=\"tp_pub_title\">\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u7523\u5f8c\u3046\u3064\u75c7\u72b6\u306e\u691c\u77e5\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c86\u56de\u5168\u56fd\u5927\u4f1a\uff08\u795e\u5948\u5ddd\u5927\u5b66\uff09, <\/span><span class=\"tp_pub_additional_publisher\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u6a2a\u6d5c, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_617\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('617','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_617\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('617','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/onsite.gakkai-web.net\/ipsj\/abstract\/data\/pdf\/6ZB-05.html\" title=\"https:\/\/onsite.gakkai-web.net\/ipsj\/abstract\/data\/pdf\/6ZB-05.html\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_617\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{IPSJ86_GU,<br \/>\r\ntitle = {\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u7523\u5f8c\u3046\u3064\u75c7\u72b6\u306e\u691c\u77e5\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e},<br \/>\r\nauthor = {\u9867\u4fee\u805e and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab and \u7530\u8c37\u662d\u4ec1},<br \/>\r\nurl = {https:\/\/onsite.gakkai-web.net\/ipsj\/abstract\/data\/pdf\/6ZB-05.html},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-03-17},<br \/>\r\nurldate = {2024-03-17},<br \/>\r\nbooktitle = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c86\u56de\u5168\u56fd\u5927\u4f1a\uff08\u795e\u5948\u5ddd\u5927\u5b66\uff09},<br \/>\r\npublisher = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a},<br \/>\r\naddress = {\u6a2a\u6d5c},<br \/>\r\nabstract = {\u7523\u5f8c\u3046\u3064\u75c5\uff08Postpartum Depression: PPD\uff09\u306f\u7523\u5f8c\u306e\u5973\u6027\u306e\u7d0415%\u304c\u767a\u75c7\u3059\u308b\u3046\u3064\u75c5\u306e\u4e00\u3064\u3067\u3042\u308b\u3002\u6cbb\u7642\u306b\u306f\u65e9\u671f\u767a\u898b\u304c\u91cd\u8981\u3067\u3042\u308b\u304c\u3001\u81ea\u8eab\u3067\u305d\u306e\u75c5\u72b6\u3092\u8a8d\u8b58\u3059\u308b\u3053\u3068\u306f\u96e3\u3057\u3044\u3002\u307e\u305f\u3001\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u3046\u3064\u75c5\u691c\u77e5\u304c\u884c\u306a\u308f\u308c\u3066\u3044\u308b\u304c\u3001\u65e2\u5b58\u7814\u7a76\u3067\u306f\u7523\u5f8c\u5973\u6027\u7279\u6709\u306e\u72b6\u6cc1\u306b\u306f\u7126\u70b9\u3092\u5f53\u305f\u3063\u3066\u3044\u306a\u3044\u3002\u672c\u7814\u7a76\u3067\u306f\u3001Passive Mobile Sensing\uff08PMS\uff09\u3092\u6d3b\u7528\u3057\u3001PPD\u306e\u81ea\u52d5\u691c\u77e5\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3059\u308b\u3002\u5b9f\u9a13\u53c2\u52a0\u8005\u3068\u305d\u306e\u5bb6\u65cf\u306e\u6d3b\u52d5\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3001PPD\u3068\u306e\u95a2\u9023\u3092\u5206\u6790\u3059\u308b\u3002\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u3066PPD\u306e\u81ea\u52d5\u691c\u77e5\u53ef\u80fd\u6027\u3092\u63a2\u308b\u3002\u3053\u306e\u7814\u7a76\u306f\u3001\u60c5\u5831\u901a\u4fe1\u6280\u8853\u306b\u57fa\u3065\u304f\u52b9\u7387\u7684\u306a\u80b2\u5150\u652f\u63f4\u306e\u767a\u5c55\u306b\u8ca2\u732e\u3059\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u308b\u3002},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('617','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_617\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u7523\u5f8c\u3046\u3064\u75c5\uff08Postpartum Depression: PPD\uff09\u306f\u7523\u5f8c\u306e\u5973\u6027\u306e\u7d0415%\u304c\u767a\u75c7\u3059\u308b\u3046\u3064\u75c5\u306e\u4e00\u3064\u3067\u3042\u308b\u3002\u6cbb\u7642\u306b\u306f\u65e9\u671f\u767a\u898b\u304c\u91cd\u8981\u3067\u3042\u308b\u304c\u3001\u81ea\u8eab\u3067\u305d\u306e\u75c5\u72b6\u3092\u8a8d\u8b58\u3059\u308b\u3053\u3068\u306f\u96e3\u3057\u3044\u3002\u307e\u305f\u3001\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u3046\u3064\u75c5\u691c\u77e5\u304c\u884c\u306a\u308f\u308c\u3066\u3044\u308b\u304c\u3001\u65e2\u5b58\u7814\u7a76\u3067\u306f\u7523\u5f8c\u5973\u6027\u7279\u6709\u306e\u72b6\u6cc1\u306b\u306f\u7126\u70b9\u3092\u5f53\u305f\u3063\u3066\u3044\u306a\u3044\u3002\u672c\u7814\u7a76\u3067\u306f\u3001Passive Mobile Sensing\uff08PMS\uff09\u3092\u6d3b\u7528\u3057\u3001PPD\u306e\u81ea\u52d5\u691c\u77e5\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3059\u308b\u3002\u5b9f\u9a13\u53c2\u52a0\u8005\u3068\u305d\u306e\u5bb6\u65cf\u306e\u6d3b\u52d5\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3001PPD\u3068\u306e\u95a2\u9023\u3092\u5206\u6790\u3059\u308b\u3002\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u3066PPD\u306e\u81ea\u52d5\u691c\u77e5\u53ef\u80fd\u6027\u3092\u63a2\u308b\u3002\u3053\u306e\u7814\u7a76\u306f\u3001\u60c5\u5831\u901a\u4fe1\u6280\u8853\u306b\u57fa\u3065\u304f\u52b9\u7387\u7684\u306a\u80b2\u5150\u652f\u63f4\u306e\u767a\u5c55\u306b\u8ca2\u732e\u3059\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u308b\u3002<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('617','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">32.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u738b\u632f\u535a, \u897f\u5c71\u52c7\u6bc5, \u52a0\u85e4\u8cb4\u662d, \u702c\u5d0e\u85ab, \u7530\u8c37\u662d\u4ec1<\/p><p class=\"tp_pub_title\">\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u306e\u691c\u77e5\u306b\u5411\u3051\u3066:\u7570\u306a\u308b\u6642\u671f\u306e\u6bd4\u8f03\u5206\u6790 <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c86\u56de\u5168\u56fd\u5927\u4f1a\uff08\u795e\u5948\u5ddd\u5927\u5b66\uff09, <\/span><span class=\"tp_pub_additional_publisher\">\u60c5\u5831\u51e6\u7406\u5b66\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u6a2a\u6d5c, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_618\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('618','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_618\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('618','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/onsite.gakkai-web.net\/ipsj\/abstract\/data\/pdf\/6ZB-04.html\" title=\"https:\/\/onsite.gakkai-web.net\/ipsj\/abstract\/data\/pdf\/6ZB-04.html\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_618\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{IPSJ86_Wang,<br \/>\r\ntitle = {\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u306e\u691c\u77e5\u306b\u5411\u3051\u3066:\u7570\u306a\u308b\u6642\u671f\u306e\u6bd4\u8f03\u5206\u6790},<br \/>\r\nauthor = {\u738b\u632f\u535a and \u897f\u5c71\u52c7\u6bc5 and \u52a0\u85e4\u8cb4\u662d and \u702c\u5d0e\u85ab and \u7530\u8c37\u662d\u4ec1},<br \/>\r\nurl = {https:\/\/onsite.gakkai-web.net\/ipsj\/abstract\/data\/pdf\/6ZB-04.html},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-03-17},<br \/>\r\nbooktitle = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c86\u56de\u5168\u56fd\u5927\u4f1a\uff08\u795e\u5948\u5ddd\u5927\u5b66\uff09},<br \/>\r\npublisher = {\u60c5\u5831\u51e6\u7406\u5b66\u4f1a},<br \/>\r\naddress = {\u6a2a\u6d5c},<br \/>\r\nabstract = {\u73fe\u5728\u3001\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u5fc3\u8eab\u306e\u5065\u5eb7\u7ba1\u7406\u306f\u975e\u5e38\u306b\u91cd\u8981\u306a\u8ab2\u984c\u3067\u3042\u308b\u3002\u7af6\u6280\u3068\u5b66\u696d\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u4fdd\u3064\u305f\u3081\u306b\u306f\u3001\u3088\u308a\u52b9\u679c\u7684\u306a\u7ba1\u7406\u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u958b\u767a\u304c\u6c42\u3081\u3089\u308c\u3066\u3044\u308b\u3002\u65e2\u5b58\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\u3001\u8eab\u4f53\u6d3b\u52d5\u3068\u5fc3\u8eab\u306e\u5065\u5eb7\u72b6\u614b\u306e\u8abf\u67fb\u304c\u3001\u4e3b\u89b3\u7684\u304a\u3088\u3073\u5ba2\u89b3\u7684\u306a\u60c5\u5831\u306b\u4f9d\u5b58\u3057\u3066\u304a\u308a\u3001\u5229\u7528\u8005\u306b\u9ad8\u3044\u8ca0\u8377\u304c\u304b\u304b\u3063\u3066\u3044\u308b\u3002\u305d\u306e\u305f\u3081\u3001\u30a8\u30d3\u30c7\u30f3\u30b9\u306b\u57fa\u3065\u304f\u4f4e\u8ca0\u8377\u306a\u5fc3\u8eab\u5065\u5eb7\u7ba1\u7406\u624b\u6cd5\u306e\u958b\u767a\u304c\u5fc5\u8981\u3068\u3055\u308c\u3066\u3044\u308b\u3002\u305d\u3053\u3067\u672c\u7814\u7a76\u3067\u306f\u3001\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u6d3b\u7528\u3057\u3066\u3001\u5b66\u696d\u4e2d\u30fb\u7af6\u6280\u4e2d\u306b\u304a\u3051\u308b\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3001\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u3068\u306e\u95a2\u9023\u6027\u3092\u5206\u6790\u3059\u308b\u3002\u7279\u306b\u3001\u7570\u306a\u308b\u6642\u671f\u3067\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u7406\u5c3a\u5ea6\u3068\u306e\u95a2\u4fc2\u3092\u8a73\u7d30\u306b\u6bd4\u8f03\u691c\u8a0e\u3059\u308b\u3002},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('618','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_618\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u73fe\u5728\u3001\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u5fc3\u8eab\u306e\u5065\u5eb7\u7ba1\u7406\u306f\u975e\u5e38\u306b\u91cd\u8981\u306a\u8ab2\u984c\u3067\u3042\u308b\u3002\u7af6\u6280\u3068\u5b66\u696d\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u4fdd\u3064\u305f\u3081\u306b\u306f\u3001\u3088\u308a\u52b9\u679c\u7684\u306a\u7ba1\u7406\u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u958b\u767a\u304c\u6c42\u3081\u3089\u308c\u3066\u3044\u308b\u3002\u65e2\u5b58\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\u3001\u8eab\u4f53\u6d3b\u52d5\u3068\u5fc3\u8eab\u306e\u5065\u5eb7\u72b6\u614b\u306e\u8abf\u67fb\u304c\u3001\u4e3b\u89b3\u7684\u304a\u3088\u3073\u5ba2\u89b3\u7684\u306a\u60c5\u5831\u306b\u4f9d\u5b58\u3057\u3066\u304a\u308a\u3001\u5229\u7528\u8005\u306b\u9ad8\u3044\u8ca0\u8377\u304c\u304b\u304b\u3063\u3066\u3044\u308b\u3002\u305d\u306e\u305f\u3081\u3001\u30a8\u30d3\u30c7\u30f3\u30b9\u306b\u57fa\u3065\u304f\u4f4e\u8ca0\u8377\u306a\u5fc3\u8eab\u5065\u5eb7\u7ba1\u7406\u624b\u6cd5\u306e\u958b\u767a\u304c\u5fc5\u8981\u3068\u3055\u308c\u3066\u3044\u308b\u3002\u305d\u3053\u3067\u672c\u7814\u7a76\u3067\u306f\u3001\u30d1\u30c3\u30b7\u30d6\u30e2\u30d0\u30a4\u30eb\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u6d3b\u7528\u3057\u3066\u3001\u5b66\u696d\u4e2d\u30fb\u7af6\u6280\u4e2d\u306b\u304a\u3051\u308b\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3001\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u3068\u306e\u95a2\u9023\u6027\u3092\u5206\u6790\u3059\u308b\u3002\u7279\u306b\u3001\u7570\u306a\u308b\u6642\u671f\u3067\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u7406\u5c3a\u5ea6\u3068\u306e\u95a2\u4fc2\u3092\u8a73\u7d30\u306b\u6bd4\u8f03\u691c\u8a0e\u3059\u308b\u3002<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('618','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">33.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Helinyi Peng, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Initial Investigation on Improving AED Delivery Efficiency by Encouraging Location Awareness <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">2024\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, <\/span><span class=\"tp_pub_additional_address\">\u5e83\u5cf6, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_619\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('619','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/pub.confit.atlas.jp\/ja\/event\/general2024\/presentation\/A-12-05\" title=\"https:\/\/pub.confit.atlas.jp\/ja\/event\/general2024\/presentation\/A-12-05\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_619\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{IEICE_Peng,<br \/>\r\ntitle = {Initial Investigation on Improving AED Delivery Efficiency by Encouraging Location Awareness},<br \/>\r\nauthor = {Helinyi Peng and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/pub.confit.atlas.jp\/ja\/event\/general2024\/presentation\/A-12-05},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-03-08},<br \/>\r\nbooktitle = {2024\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a},<br \/>\r\naddress = {\u5e83\u5cf6},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('619','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">34.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u539a\u898b\u6634, \u77f3\u5ca1\u9678, \u576a\u5185\u5b5d\u592a, \u897f\u5c71\u52c7\u6bc5, \u702c\u5d0e\u85ab <\/p><p class=\"tp_pub_title\">GNSS\u885b\u661f\u3054\u3068\u306e\u4fe1\u53f7\u60c5\u5831\u306b\u5bfe\u3059\u308b\u70b9\u7fa4\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305fUV\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u63a8\u5b9a <span class=\"tp_pub_type conference\">Conference<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7b2c81\u56de\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09\u7814\u7a76\u767a\u8868\u4f1a, <\/span><span class=\"tp_pub_additional_volume\">2024-UBI-81 <\/span>, <span class=\"tp_pub_additional_address\">\u798f\u5ca1\u5927\u5b66, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_616\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('616','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_616\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('616','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/sigubi.ipsj.or.jp\/seminar81\/\" title=\"https:\/\/sigubi.ipsj.or.jp\/seminar81\/\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_616\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{UBI81_Atsumi,<br \/>\r\ntitle = {GNSS\u885b\u661f\u3054\u3068\u306e\u4fe1\u53f7\u60c5\u5831\u306b\u5bfe\u3059\u308b\u70b9\u7fa4\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305fUV\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u63a8\u5b9a},<br \/>\r\nauthor = {\u539a\u898b\u6634 and \u77f3\u5ca1\u9678 and \u576a\u5185\u5b5d\u592a and \u897f\u5c71\u52c7\u6bc5 and \u702c\u5d0e\u85ab },<br \/>\r\nurl = {https:\/\/sigubi.ipsj.or.jp\/seminar81\/},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-02-29},<br \/>\r\nurldate = {2024-02-29},<br \/>\r\nbooktitle = {\u7b2c81\u56de\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09\u7814\u7a76\u767a\u8868\u4f1a},<br \/>\r\nvolume = {2024-UBI-81},<br \/>\r\npages = {1 - 8},<br \/>\r\naddress = {\u798f\u5ca1\u5927\u5b66},<br \/>\r\nabstract = {\u500b\u4eba\u306e\u66dd\u9732\u3057\u305f\u7d2b\u5916\u7dda\u91cf\u306e\u63a8\u5b9a\u624b\u6cd5\u3068\u3057\u3066\uff0c\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u3067 GNSS \u885b\u661f\u304b\u3089\u53d7\u4fe1\u3057\u305f\u4fe1\u53f7\u60c5\u5831\u3092\u7528\u3044\u308b\u65b9\u6cd5\u304c\u7814\u7a76\u3055\u308c\u3066\u3044\u308b\uff0e\u65e2\u5b58\u624b\u6cd5\u3067\u306f\u885b\u661f\u3092\u5929\u7403\u4e0a\u3067\u306e\u4f4d\u7f6e\u3067\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u3066\u4fe1\u53f7\u60c5\u5831\u3092\u30b0\u30eb\u30fc\u30d7\u5185\u7d71\u8a08\u5024\u3067\u4ee3\u8868\u3059\u308b\u305f\u3081\uff0c\u885b\u661f\u5358\u4f4d\u306e\u60c5\u5831\u304c\u5931\u308f\u308c\u308b\u3068\u3068\u3082\u306b\u885b\u661f\u540c\u58eb\u306e\u4f4d\u7f6e\u95a2\u4fc2\u306e\u60c5\u5831\u3082\u5229\u7528\u3067\u304d\u306a\u3044\uff0e\u305d\u3053\u3067\uff0c\u672c\u7814\u7a76\u3067\u306f\u70b9\u7fa4\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u3066\u885b\u661f\u3054\u3068\u306e\u4fe1\u53f7\u60c5\u5831\u3068\u305d\u306e\u8fd1\u508d\u95a2\u4fc2\u3092\u76f4\u63a5\u5229\u7528\u3059\u308b UV \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u63a8\u5b9a\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u540c\u4e00\u5730\u57df\u306e 2 \u30f6\u6240\u306b\u304a\u3044\u3066 GNSS \u4fe1\u53f7\u3068 UV \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3066\u691c\u8a3c\u3057\u305f\u7d50\u679c\uff0c\u63d0\u6848\u624b\u6cd5\u304c\u63a8\u5b9a\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u3068\u793a\u5506\u3055\u308c\u305f\uff0e\u885b\u661f\u3054\u3068\u306e\u4fe1\u53f7\u60c5\u5831\u3092\u6d3b\u7528\u3059\u308b\u624b\u6cd5\u304c\u767a\u5c55\u3059\u308b\u3053\u3068\u3067\uff0c\u5b9f\u4e16\u754c\u306e\u591a\u69d8\u306a\u74b0\u5883\u306b\u304a\u3051\u308b\u9ad8\u7cbe\u5ea6\u306a\u7d2b\u5916\u7dda\u91cf\u63a8\u5b9a\u306e\u5b9f\u73fe\u304c\u671f\u5f85\u3067\u304d\u308b\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('616','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_616\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u500b\u4eba\u306e\u66dd\u9732\u3057\u305f\u7d2b\u5916\u7dda\u91cf\u306e\u63a8\u5b9a\u624b\u6cd5\u3068\u3057\u3066\uff0c\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u3067 GNSS \u885b\u661f\u304b\u3089\u53d7\u4fe1\u3057\u305f\u4fe1\u53f7\u60c5\u5831\u3092\u7528\u3044\u308b\u65b9\u6cd5\u304c\u7814\u7a76\u3055\u308c\u3066\u3044\u308b\uff0e\u65e2\u5b58\u624b\u6cd5\u3067\u306f\u885b\u661f\u3092\u5929\u7403\u4e0a\u3067\u306e\u4f4d\u7f6e\u3067\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u3066\u4fe1\u53f7\u60c5\u5831\u3092\u30b0\u30eb\u30fc\u30d7\u5185\u7d71\u8a08\u5024\u3067\u4ee3\u8868\u3059\u308b\u305f\u3081\uff0c\u885b\u661f\u5358\u4f4d\u306e\u60c5\u5831\u304c\u5931\u308f\u308c\u308b\u3068\u3068\u3082\u306b\u885b\u661f\u540c\u58eb\u306e\u4f4d\u7f6e\u95a2\u4fc2\u306e\u60c5\u5831\u3082\u5229\u7528\u3067\u304d\u306a\u3044\uff0e\u305d\u3053\u3067\uff0c\u672c\u7814\u7a76\u3067\u306f\u70b9\u7fa4\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u3066\u885b\u661f\u3054\u3068\u306e\u4fe1\u53f7\u60c5\u5831\u3068\u305d\u306e\u8fd1\u508d\u95a2\u4fc2\u3092\u76f4\u63a5\u5229\u7528\u3059\u308b UV \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u63a8\u5b9a\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u540c\u4e00\u5730\u57df\u306e 2 \u30f6\u6240\u306b\u304a\u3044\u3066 GNSS \u4fe1\u53f7\u3068 UV \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3066\u691c\u8a3c\u3057\u305f\u7d50\u679c\uff0c\u63d0\u6848\u624b\u6cd5\u304c\u63a8\u5b9a\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u3068\u793a\u5506\u3055\u308c\u305f\uff0e\u885b\u661f\u3054\u3068\u306e\u4fe1\u53f7\u60c5\u5831\u3092\u6d3b\u7528\u3059\u308b\u624b\u6cd5\u304c\u767a\u5c55\u3059\u308b\u3053\u3068\u3067\uff0c\u5b9f\u4e16\u754c\u306e\u591a\u69d8\u306a\u74b0\u5883\u306b\u304a\u3051\u308b\u9ad8\u7cbe\u5ea6\u306a\u7d2b\u5916\u7dda\u91cf\u63a8\u5b9a\u306e\u5b9f\u73fe\u304c\u671f\u5f85\u3067\u304d\u308b\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('616','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_Inproceedings\">Inproceedings<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">35.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Xiuwen Gu, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Toward detecting maternity neurosis by using passive mobile sensing: preliminary investigation <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2024 IEEE International Conference on E-health Networking, Application &amp; Services (HealthCom), <\/span><span class=\"tp_pub_additional_address\">Nara, Japan, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_641\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('641','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_641\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('641','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/ieeexplore.ieee.org\/document\/10880785\" title=\"https:\/\/ieeexplore.ieee.org\/document\/10880785\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1109\/HEALTHCOM60970.2024.10880785\" title=\"Follow DOI:10.1109\/HEALTHCOM60970.2024.10880785\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_641\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{nokey,<br \/>\r\ntitle = {Toward detecting maternity neurosis by using passive mobile sensing: preliminary investigation},<br \/>\r\nauthor = {Xiuwen Gu and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/ieeexplore.ieee.org\/document\/10880785},<br \/>\r\ndoi = {10.1109\/HEALTHCOM60970.2024.10880785},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-11-18},<br \/>\r\nurldate = {2024-11-18},<br \/>\r\nbooktitle = {2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)},<br \/>\r\naddress = {Nara, Japan},<br \/>\r\nabstract = {Child-rearing depression, triggered by the chronic stress of parenting, can lead to serious mental health issues if not detected early. This study uses passive mobile sensing to analyze the behavioral and psychological patterns of households with preschool children. By collecting data from 131 participants (including 18 parents of preschoolers), we aim to differentiate child-rearing anxiety and behavior patterns. Our focus includes step counts, location data, call frequency, and psychological states. Results indicate that parents of preschoolers have fewer steps, visit fewer locations, and have higher call activity. They also show higher stress and anxiety but lower depression levels, suggesting that family support may mitigate depressive symptoms. These insights could aid in developing early detection and intervention strategies for child-rearing depression.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('641','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_641\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Child-rearing depression, triggered by the chronic stress of parenting, can lead to serious mental health issues if not detected early. This study uses passive mobile sensing to analyze the behavioral and psychological patterns of households with preschool children. By collecting data from 131 participants (including 18 parents of preschoolers), we aim to differentiate child-rearing anxiety and behavior patterns. Our focus includes step counts, location data, call frequency, and psychological states. Results indicate that parents of preschoolers have fewer steps, visit fewer locations, and have higher call activity. They also show higher stress and anxiety but lower depression levels, suggesting that family support may mitigate depressive symptoms. These insights could aid in developing early detection and intervention strategies for child-rearing depression.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('641','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">36.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Liqiang Xu, Yuuki Nishiyama, Kota Tsubouchi, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Deep Learning-Based Compressed Sensing for Mobile Device-Derived Sensor Data <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, <\/span><span class=\"tp_pub_additional_pages\">pp. 5023\u20135030, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Boise, ID, USA, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 9798400704369<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_637\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('637','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_637\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('637','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/doi.org\/10.1145\/3627673.3680050\" title=\"https:\/\/doi.org\/10.1145\/3627673.3680050\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1145\/3627673.3680050\" title=\"Follow DOI:10.1145\/3627673.3680050\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_637\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10.1145\/3627673.3680050,<br \/>\r\ntitle = {Deep Learning-Based Compressed Sensing for Mobile Device-Derived Sensor Data},<br \/>\r\nauthor = {Liqiang Xu and Yuuki Nishiyama and Kota Tsubouchi and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3627673.3680050},<br \/>\r\ndoi = {10.1145\/3627673.3680050},<br \/>\r\nisbn = {9798400704369},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-10-23},<br \/>\r\nurldate = {2024-10-23},<br \/>\r\nbooktitle = {Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},<br \/>\r\npages = {5023\u20135030},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Boise, ID, USA},<br \/>\r\nseries = {CIKM &#039;24},<br \/>\r\nabstract = {As the capabilities of smart sensing and mobile technologies continue to evolve and expand, storing diverse sensor data on smartphones and cloud servers becomes increasingly challenging. Effective data compression is crucial to alleviate these storage pressures. Compressed sensing (CS) offers a promising approach, but traditional CS methods often struggle with the unique characteristics of sensor data-like variability, dynamic changes, and different sampling rates-leading to slow processing and poor reconstruction quality. To address these issues, we developed Mob-ISTA-1DNet, an innovative CS framework that integrates deep learning with the iterative shrinkage-thresholding algorithm (ISTA) to adaptively compress and reconstruct smartphone sensor data. This framework is designed to manage the complexities of smartphone sensor data, ensuring high-quality reconstruction across diverse conditions. We developed a mobile application to collect data from 30 volunteers over one month, including accelerometer, gyroscope, barometer, and other sensor measurements. Comparative analysis reveals that Mob-ISTA-1DNet not only enhances reconstruction accuracy but also significantly reduces processing time, consistently outperforming other methods in various scenarios.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('637','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_637\" style=\"display:none;\"><div class=\"tp_abstract_entry\">As the capabilities of smart sensing and mobile technologies continue to evolve and expand, storing diverse sensor data on smartphones and cloud servers becomes increasingly challenging. Effective data compression is crucial to alleviate these storage pressures. Compressed sensing (CS) offers a promising approach, but traditional CS methods often struggle with the unique characteristics of sensor data-like variability, dynamic changes, and different sampling rates-leading to slow processing and poor reconstruction quality. To address these issues, we developed Mob-ISTA-1DNet, an innovative CS framework that integrates deep learning with the iterative shrinkage-thresholding algorithm (ISTA) to adaptively compress and reconstruct smartphone sensor data. This framework is designed to manage the complexities of smartphone sensor data, ensuring high-quality reconstruction across diverse conditions. We developed a mobile application to collect data from 30 volunteers over one month, including accelerometer, gyroscope, barometer, and other sensor measurements. Comparative analysis reveals that Mob-ISTA-1DNet not only enhances reconstruction accuracy but also significantly reduces processing time, consistently outperforming other methods in various scenarios.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('637','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">37.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Manaka Ito, Kota Tsubouchi, Nobuhiko Nishio, Masamichi Shimosaka, Akihito Taya, Kaoru Sezaki, Yuuki Nishiyama<\/p><p class=\"tp_pub_title\">Investigating Acceptable Voice-based Notification Timings through Earable Devices: A Preliminary Field Study <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, <\/span><span class=\"tp_pub_additional_pages\">pp. 30\u201334, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Melbourne, Australia, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_629\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('629','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_629\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('629','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1145\/3675094.3677579\" title=\"Follow DOI:10.1145\/3675094.3677579\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_629\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{ubicomp2024_sonotify_ito,<br \/>\r\ntitle = {Investigating Acceptable Voice-based Notification Timings through Earable Devices: A Preliminary Field Study},<br \/>\r\nauthor = {Manaka Ito and Kota Tsubouchi and Nobuhiko Nishio and Masamichi Shimosaka and Akihito Taya and Kaoru Sezaki and Yuuki Nishiyama},<br \/>\r\ndoi = {10.1145\/3675094.3677579},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-10-05},<br \/>\r\nurldate = {2024-10-05},<br \/>\r\nbooktitle = {Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing},<br \/>\r\npages = {30\u201334},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Melbourne, Australia},<br \/>\r\nseries = {UbiComp &#039;24},<br \/>\r\nabstract = {Earable devices, a subset of wearable technology, are designed to be worn on the ear and used in daily life. These innovative devices enable users to receive voice-based notifications through a minute built-in speaker without requiring any user operations, seamlessly integrating technology into everyday activities. The timing deemed acceptable for receiving voice-based notifications through earable devices varies based on the user and surrounding situation; thus, inappropriate notification timing may reduce usability. However, determining the safest and most comfortable timing for voice-based notifications using earable devices remains unclear. This study investigates the acceptable timing of voice-based notifications through earable devices. To explore the acceptable timing, we developed a smartphone application, SoNotify, which can send dummy voice-based notifications and collect sensor data on a smartphone and an earable device. Our field studies with eight participants showed that voice-based notifications were highly acceptable during outdoor walking, with an acceptance rate of approximately 86%. However, users tended to refuse notifications in situations in which they needed to concentrate on avoiding collisions with pedestrians, cyclists, or vehicles.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('629','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_629\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Earable devices, a subset of wearable technology, are designed to be worn on the ear and used in daily life. These innovative devices enable users to receive voice-based notifications through a minute built-in speaker without requiring any user operations, seamlessly integrating technology into everyday activities. The timing deemed acceptable for receiving voice-based notifications through earable devices varies based on the user and surrounding situation; thus, inappropriate notification timing may reduce usability. However, determining the safest and most comfortable timing for voice-based notifications using earable devices remains unclear. This study investigates the acceptable timing of voice-based notifications through earable devices. To explore the acceptable timing, we developed a smartphone application, SoNotify, which can send dummy voice-based notifications and collect sensor data on a smartphone and an earable device. Our field studies with eight participants showed that voice-based notifications were highly acceptable during outdoor walking, with an acceptance rate of approximately 86%. However, users tended to refuse notifications in situations in which they needed to concentrate on avoiding collisions with pedestrians, cyclists, or vehicles.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('629','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">38.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Zhenbo Wang, Akihito Taya, Kato Takaaki, Kaoru Sezaki, Yuuki Nishiyama<\/p><p class=\"tp_pub_title\">Toward Detecting Student-Athletes&#039; Condition Using Passive Mobile and Wearable Sensing <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, <\/span><span class=\"tp_pub_additional_pages\">pp. 51\u201355, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Melbourne VIC, Australia, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_628\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('628','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_628\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('628','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1145\/3675094.3677583\" title=\"Follow DOI:10.1145\/3675094.3677583\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_628\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{ubicomp2024_alife_wang,<br \/>\r\ntitle = {Toward Detecting Student-Athletes' Condition Using Passive Mobile and Wearable Sensing},<br \/>\r\nauthor = {Zhenbo Wang and Akihito Taya and Kato Takaaki and Kaoru Sezaki and Yuuki Nishiyama},<br \/>\r\ndoi = {10.1145\/3675094.3677583},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-10-05},<br \/>\r\nurldate = {2024-10-05},<br \/>\r\nbooktitle = {Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing},<br \/>\r\npages = {51\u201355},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Melbourne VIC, Australia},<br \/>\r\nseries = {UbiComp &#039;24},<br \/>\r\nabstract = {Student-athletes (SA) face stress from balancing athletic and academic demands, and monitoring their physical and mental stress is crucial for better well-being. Questionnaires and dedicated measurement equipment have been used to assess <br \/>\r\nSAs\u2019 mental and physical status. However, these methods are not scalable and are difficult to use continuously. In this paper, we propose a method for monitoring the physical and mental state of SA using passive mobile and wearable sensing technology to monitor it with a low burden. First, we developed a platform for collecting daily, training, and resetting behavior data from smartphones and wearable devices. Second, as a preliminary study, we collected the behavior and Stress and Recovery States Scale (SRSS) data for four weeks with 19 SA and analyzed the collected data to understand their unique behavior patterns and living environments. The results demonstrate that wearable devices and smartphones can automatically collect data on \"exercise intensity during competitions\" and \"lifestyle patterns,\" specifically tailored to the mental and physical states of SA. Furthermore, this preliminary research establishes a foundation for future efforts using machine learning to predict the physical and mental states of SA.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('628','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_628\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Student-athletes (SA) face stress from balancing athletic and academic demands, and monitoring their physical and mental stress is crucial for better well-being. Questionnaires and dedicated measurement equipment have been used to assess <br \/>\r\nSAs\u2019 mental and physical status. However, these methods are not scalable and are difficult to use continuously. In this paper, we propose a method for monitoring the physical and mental state of SA using passive mobile and wearable sensing technology to monitor it with a low burden. First, we developed a platform for collecting daily, training, and resetting behavior data from smartphones and wearable devices. Second, as a preliminary study, we collected the behavior and Stress and Recovery States Scale (SRSS) data for four weeks with 19 SA and analyzed the collected data to understand their unique behavior patterns and living environments. The results demonstrate that wearable devices and smartphones can automatically collect data on &quot;exercise intensity during competitions&quot; and &quot;lifestyle patterns,&quot; specifically tailored to the mental and physical states of SA. Furthermore, this preliminary research establishes a foundation for future efforts using machine learning to predict the physical and mental states of SA.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('628','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">39.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Zengyi Han, Xuefu Dong, Liqiang Xu, Zhen Zhu, En Wang, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">RideGuard: Micro-Mobility Steering Maneuver Prediction with Smartphones <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), <\/span><span class=\"tp_pub_additional_publisher\">IEEE Computer Society, <\/span><span class=\"tp_pub_additional_address\">Jersey City, New Jersey, USA, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_621\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('621','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/icdcs2024.icdcs.org\/\" title=\"https:\/\/icdcs2024.icdcs.org\/\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_621\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{ICDCS2024_Han,<br \/>\r\ntitle = {RideGuard: Micro-Mobility Steering Maneuver Prediction with Smartphones},<br \/>\r\nauthor = {Zengyi Han and Xuefu Dong and Liqiang Xu and Zhen Zhu and En Wang and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/icdcs2024.icdcs.org\/},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-07-01},<br \/>\r\nurldate = {2024-07-01},<br \/>\r\nbooktitle = {2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)},<br \/>\r\npublisher = {IEEE Computer Society},<br \/>\r\naddress = {Jersey City, New Jersey, USA},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('621','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">40.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Subaru Atsumi, Riku Ishioka, Kota Tsubouchi, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Poster: Towards Estimating UV Index with a Smartphone Utilizing GNSS Signals as a Point Cloud <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Tokyo, Japan, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_623\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('623','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_623\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('623','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/www.sigmobile.org\/mobisys\/2024\/program.html\" title=\"https:\/\/www.sigmobile.org\/mobisys\/2024\/program.html\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_623\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{MobiSys2024_Atsumi,<br \/>\r\ntitle = {Poster: Towards Estimating UV Index with a Smartphone Utilizing GNSS Signals as a Point Cloud},<br \/>\r\nauthor = {Subaru Atsumi and Riku Ishioka and Kota Tsubouchi and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/www.sigmobile.org\/mobisys\/2024\/program.html},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-06-03},<br \/>\r\nurldate = {2024-06-03},<br \/>\r\nbooktitle = {Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Tokyo, Japan},<br \/>\r\nseries = {MobiSys '24},<br \/>\r\nabstract = {Monitoring and controlling the exposure of an individual to ultraviolet radiation is crucial for personal health. The use of the global navigation satellite system (GNSS) signals received by a personal off-the-shelf smartphone has been studied as a novel estimation method. In the existing method, satellites are grouped based on their positions and the signal information is represented by group statistics, leading to a coarse estimation. We propose a new ultraviolet (UV) index estimation method that directly utilizes satellite-wise information and their spatial relationships with a point-cloud neural network, considering the similarity between GNSS signals and point clouds. We collected GNSS signals and UV index data from two locations within the same area and demonstrated that the proposed method enhances the estimation accuracy and smoothness.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('623','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_623\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Monitoring and controlling the exposure of an individual to ultraviolet radiation is crucial for personal health. The use of the global navigation satellite system (GNSS) signals received by a personal off-the-shelf smartphone has been studied as a novel estimation method. In the existing method, satellites are grouped based on their positions and the signal information is represented by group statistics, leading to a coarse estimation. We propose a new ultraviolet (UV) index estimation method that directly utilizes satellite-wise information and their spatial relationships with a point-cloud neural network, considering the similarity between GNSS signals and point clouds. We collected GNSS signals and UV index data from two locations within the same area and demonstrated that the proposed method enhances the estimation accuracy and smoothness.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('623','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">41.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Helinyi Peng, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Poster: Location Awareness in AED Retrieval: A Simulation-Based Investigation <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Tokyo, Japan, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_622\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('622','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_622\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('622','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/www.sigmobile.org\/mobisys\/2024\/program.html\" title=\"https:\/\/www.sigmobile.org\/mobisys\/2024\/program.html\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_622\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{MobiSys2024_Peng,<br \/>\r\ntitle = {Poster: Location Awareness in AED Retrieval: A Simulation-Based Investigation},<br \/>\r\nauthor = {Helinyi Peng and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/www.sigmobile.org\/mobisys\/2024\/program.html},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-06-03},<br \/>\r\nurldate = {2024-06-03},<br \/>\r\nbooktitle = {Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Tokyo, Japan},<br \/>\r\nseries = {MobiSys '24},<br \/>\r\nabstract = {Public awareness of Automated External Defibrillator (AED) locations is crucial for their prompt retrieval during cardiac emergencies. In this study, we propose a simulation-based approach as a preliminary step toward developing gamified mobile apps that can enhance this awareness. By simulating AED retrieval on real-world pedestrian networks under various scenarios, we identify key elements that can improve retrieval efficiency. Our findings confirm the viability of this framework and highlight crucial aspects for improvement, shedding light on more efficient future application development.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('622','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_622\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Public awareness of Automated External Defibrillator (AED) locations is crucial for their prompt retrieval during cardiac emergencies. In this study, we propose a simulation-based approach as a preliminary step toward developing gamified mobile apps that can enhance this awareness. By simulating AED retrieval on real-world pedestrian networks under various scenarios, we identify key elements that can improve retrieval efficiency. Our findings confirm the viability of this framework and highlight crucial aspects for improvement, shedding light on more efficient future application development.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('622','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">42.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Xuefu Dong, Yifei Chen, Yuuki Nishiyama, Kaoru Sezaki, Yuntao Wang, Kenneth Christofferson, Alex Mariakakis<\/p><p class=\"tp_pub_title\">ReHEarSSE: Recognizing Hidden-in-the-Ear Silently Spelled Expressions <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Hawaii, US, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_624\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('624','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_624\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('624','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/chi2024.acm.org\/\" title=\"https:\/\/chi2024.acm.org\/\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_624\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{CHI2024_Dong,<br \/>\r\ntitle = {ReHEarSSE: Recognizing Hidden-in-the-Ear Silently Spelled Expressions},<br \/>\r\nauthor = {Xuefu Dong and Yifei Chen and Yuuki Nishiyama and Kaoru Sezaki and Yuntao Wang and Kenneth Christofferson and Alex Mariakakis},<br \/>\r\nurl = {https:\/\/chi2024.acm.org\/},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-14},<br \/>\r\nurldate = {2024-05-14},<br \/>\r\nbooktitle = {Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Hawaii, US},<br \/>\r\nseries = {CHI '24},<br \/>\r\nabstract = {Silent speech interaction (SSI) allows users to discreetly input text without using their hands. Existing wearable SSI systems typically require custom devices and are limited to a small lexicon, limiting their utility to a small set of command words. This work proposes ReHEarSSE, an earbud-based ultrasonic SSI system capable of generalizing to words that do not appear in its training dataset, providing support for nearly an entire dictionary\u2019s worth of words. As a user silently spells words, ReHEarSSE uses autoregressive features to identify subtle changes in ear canal shape. ReHEarSSE infers words using a deep learning model trained to optimize connectionist temporal classification (CTC) loss with an intermediate embedding that accounts for different letters and transitions between them. We find that ReHEarSSE recognizes unseen words with an accuracy of pmnice89.310.9%.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('624','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_624\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Silent speech interaction (SSI) allows users to discreetly input text without using their hands. Existing wearable SSI systems typically require custom devices and are limited to a small lexicon, limiting their utility to a small set of command words. This work proposes ReHEarSSE, an earbud-based ultrasonic SSI system capable of generalizing to words that do not appear in its training dataset, providing support for nearly an entire dictionary\u2019s worth of words. As a user silently spells words, ReHEarSSE uses autoregressive features to identify subtle changes in ear canal shape. ReHEarSSE infers words using a deep learning model trained to optimize connectionist temporal classification (CTC) loss with an intermediate embedding that accounts for different letters and transitions between them. We find that ReHEarSSE recognizes unseen words with an accuracy of pmnice89.310.9%.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('624','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">43.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Junya Maruyama, Yudai Honma, Yuuki Nishiyama, Yoshihiro Kawahara<\/p><p class=\"tp_pub_title\">An Optimization Method for Indoor Trajectory Estimation from Spatially Sparse and Noisy Beacon Data <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">OHOW 2023 \u2013 The 2nd International Symposium on One Health \/ Infrastructure Management and sustainable built environment, <\/span><span class=\"tp_pub_additional_pages\">pp. 6\u20138, <\/span><span class=\"tp_pub_additional_publisher\">MDPI, <\/span><span class=\"tp_pub_additional_address\">Basel, Switzerland, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_625\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('625','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/sciforum.net\/paper\/view\/17308\" title=\"https:\/\/sciforum.net\/paper\/view\/17308\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_625\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{maruyama2023optimization,<br \/>\r\ntitle = {An Optimization Method for Indoor Trajectory Estimation from Spatially Sparse and Noisy Beacon Data},<br \/>\r\nauthor = {Junya Maruyama and Yudai Honma and Yuuki Nishiyama and Yoshihiro Kawahara},<br \/>\r\nurl = {https:\/\/sciforum.net\/paper\/view\/17308},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-04-16},<br \/>\r\nurldate = {2024-04-16},<br \/>\r\nbooktitle = {OHOW 2023 \u2013 The 2nd International Symposium on One Health \/ Infrastructure Management and sustainable built environment},<br \/>\r\npages = {6\u20138},<br \/>\r\npublisher = {MDPI},<br \/>\r\naddress = {Basel, Switzerland},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('625','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">44.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Xuefu Dong, Yifei Chen, Yuuki Nishiyama, Kaoru Sezaki, Yuntao Wang, Ken Christofferson, Alex Mariakakis<\/p><p class=\"tp_pub_title\">ReHEarSSE: Recognizing Hidden-in-the-Ear Silently Spelled Expressions <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Honolulu, HI, USA, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 9798400703300<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_638\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('638','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_638\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('638','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?tgid=425#tppubs\" title=\"Show all publications which have a relationship to this tag\">Acoustic sensing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?tgid=474#tppubs\" title=\"Show all publications which have a relationship to this tag\">autoregressive model<\/a>, <a rel=\"nofollow\" href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?tgid=475#tppubs\" title=\"Show all publications which have a relationship to this tag\">earable computing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?tgid=476#tppubs\" title=\"Show all publications which have a relationship to this tag\">silent speech interface<\/a>, <a rel=\"nofollow\" href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?tgid=477#tppubs\" title=\"Show all publications which have a relationship to this tag\">text entry<\/a><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/doi.org\/10.1145\/3613904.3642095\" title=\"https:\/\/doi.org\/10.1145\/3613904.3642095\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1145\/3613904.3642095\" title=\"Follow DOI:10.1145\/3613904.3642095\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_638\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10.1145\/3613904.3642095,<br \/>\r\ntitle = {ReHEarSSE: Recognizing Hidden-in-the-Ear Silently Spelled Expressions},<br \/>\r\nauthor = {Xuefu Dong and Yifei Chen and Yuuki Nishiyama and Kaoru Sezaki and Yuntao Wang and Ken Christofferson and Alex Mariakakis},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3613904.3642095},<br \/>\r\ndoi = {10.1145\/3613904.3642095},<br \/>\r\nisbn = {9798400703300},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nbooktitle = {Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Honolulu, HI, USA},<br \/>\r\nseries = {CHI '24},<br \/>\r\nabstract = {Silent speech interaction (SSI) allows users to discreetly input text without using their hands. Existing wearable SSI systems typically require custom devices and are limited to a small lexicon, limiting their utility to a small set of command words. This work proposes ReHEarSSE, an earbud-based ultrasonic SSI system capable of generalizing to words that do not appear in its training dataset, providing support for nearly an entire dictionary\u2019s worth of words. As a user silently spells words, ReHEarSSE uses autoregressive features to identify subtle changes in ear canal shape. ReHEarSSE infers words using a deep learning model trained to optimize connectionist temporal classification (CTC) loss with an intermediate embedding that accounts for different letters and transitions between them. We find that ReHEarSSE recognizes 100 unseen words with an accuracy of 89.3%.},<br \/>\r\nkeywords = {Acoustic sensing, autoregressive model, earable computing, silent speech interface, text entry},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('638','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_638\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Silent speech interaction (SSI) allows users to discreetly input text without using their hands. Existing wearable SSI systems typically require custom devices and are limited to a small lexicon, limiting their utility to a small set of command words. This work proposes ReHEarSSE, an earbud-based ultrasonic SSI system capable of generalizing to words that do not appear in its training dataset, providing support for nearly an entire dictionary\u2019s worth of words. As a user silently spells words, ReHEarSSE uses autoregressive features to identify subtle changes in ear canal shape. ReHEarSSE infers words using a deep learning model trained to optimize connectionist temporal classification (CTC) loss with an intermediate embedding that accounts for different letters and transitions between them. We find that ReHEarSSE recognizes 100 unseen words with an accuracy of 89.3%.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('638','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">45.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Exploiting Spatial and Descriptive Information for Generative Compression <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">IEEE Consumer Communications &amp; Networking Conference, <\/span><span class=\"tp_pub_additional_address\">Las Vegas, NV, USA, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_614\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('614','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_614\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('614','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/ccnc2024.ieee-ccnc.org\/program\/posters\" title=\"https:\/\/ccnc2024.ieee-ccnc.org\/program\/posters\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_614\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{CCNC2024_Eri,<br \/>\r\ntitle = {Exploiting Spatial and Descriptive Information for Generative Compression},<br \/>\r\nauthor = {Eri Hosonuma and Taku Yamazaki and Takumi Miyoshi and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/ccnc2024.ieee-ccnc.org\/program\/posters},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {IEEE Consumer Communications & Networking Conference},<br \/>\r\naddress = {Las Vegas, NV, USA},<br \/>\r\nabstract = {There will be an increase in situations where images taken in specific locations are transmitted through networks for various services. However, this trend can lead to significant communication loads due to simultaneous transmission of images from multiple locations. Therefore, it is important to reduce the amount of network traffic in image transmission. While traditional compression methods focus on minimizing information loss in images, some applications only require the retention of semantic information, suggesting potential improvements in communication efficiency. This paper proposes an image generation-based transmission method for highly-efficient communications exploiting composition and descriptive information. The proposed method extracts specific information from an image to decrease the amount of data transmission, and reconstructs the image using an image-generative model by a receiver. In addition, image compression and reconstruction in the proposed method are demonstrated through an experiment. The experimental results indicate a need for a method to evaluate the output and a method for image reconstruction based on this evaluation.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('614','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_614\" style=\"display:none;\"><div class=\"tp_abstract_entry\">There will be an increase in situations where images taken in specific locations are transmitted through networks for various services. However, this trend can lead to significant communication loads due to simultaneous transmission of images from multiple locations. Therefore, it is important to reduce the amount of network traffic in image transmission. While traditional compression methods focus on minimizing information loss in images, some applications only require the retention of semantic information, suggesting potential improvements in communication efficiency. This paper proposes an image generation-based transmission method for highly-efficient communications exploiting composition and descriptive information. The proposed method extracts specific information from an image to decrease the amount of data transmission, and reconstructs the image using an image-generative model by a receiver. In addition, image compression and reconstruction in the proposed method are demonstrated through an experiment. The experimental results indicate a need for a method to evaluate the output and a method for image reconstruction based on this evaluation.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('614','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">46.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Shota Ono, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">Experimental Evaluation Toward Mobility-Driven Model Integration Between Edges <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2024 IEEE 21st Consumer Communications &amp; Networking Conference, <\/span><span class=\"tp_pub_additional_publisher\">IEEE, <\/span><span class=\"tp_pub_additional_address\">Las Vegas, NV, USA, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_613\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('613','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_613\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('613','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/ieeexplore.ieee.org\/document\/10454772\" title=\"https:\/\/ieeexplore.ieee.org\/document\/10454772\" target=\"_blank\"><i class=\"fas fa-globe\"><\/i><\/a><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1109\/CCNC51664.2024.10454772\" title=\"Follow DOI:10.1109\/CCNC51664.2024.10454772\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_613\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{CCNC_Ono,<br \/>\r\ntitle = {Experimental Evaluation Toward Mobility-Driven Model Integration Between Edges},<br \/>\r\nauthor = {Shota Ono and Taku Yamazaki and Takumi Miyoshi and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\nurl = {https:\/\/ieeexplore.ieee.org\/document\/10454772},<br \/>\r\ndoi = {10.1109\/CCNC51664.2024.10454772},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {2024 IEEE 21st Consumer Communications & Networking Conference},<br \/>\r\npublisher = {IEEE},<br \/>\r\naddress = {Las Vegas, NV, USA},<br \/>\r\nabstract = {We propose a user mobility-driven federated learning method, which integrates learning models from different regions, leveraging user mobility. This method aims to improve performance of learning models in specific regions by merging them with models from other areas. In regions with less user mobility, our method creates unique regional models, while in areas with high mobility, it integrates models for enhanced performance. Evaluation results indicate that accuracy improved with additional training, although it temporarily decreased after model integration.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('613','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_613\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We propose a user mobility-driven federated learning method, which integrates learning models from different regions, leveraging user mobility. This method aims to improve performance of learning models in specific regions by merging them with models from other areas. In regions with less user mobility, our method creates unique regional models, while in areas with high mobility, it integrates models for enhanced performance. Evaluation results indicate that accuracy improved with additional training, although it temporarily decreased after model integration.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('613','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><h3 class=\"tp_h3\" id=\"tp_h3_Journal Articles\">Journal Articles<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">47.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Yutong Feng, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki, Jun Liu<\/p><p class=\"tp_pub_title\">Compressive Detection of Stochastic Sparse Signals With Unknown Sparsity Degree <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_type\" style=\"background-color:gray;\">To Appear<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Signal Processing Letters, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-5, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_608\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('608','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_608\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('608','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1109\/LSP.2023.3324573\" title=\"Follow DOI:10.1109\/LSP.2023.3324573\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_608\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10285002,<br \/>\r\ntitle = {Compressive Detection of Stochastic Sparse Signals With Unknown Sparsity Degree},<br \/>\r\nauthor = {Yutong Feng and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki and Jun Liu},<br \/>\r\ndoi = {10.1109\/LSP.2023.3324573},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-10-15},<br \/>\r\nurldate = {2023-10-15},<br \/>\r\njournal = {IEEE Signal Processing Letters},<br \/>\r\npages = {1-5},<br \/>\r\nabstract = {In this letter, we investigate the problem of detecting compressed stochastic sparse signals with unknown sparsity degree under Bernoulli\u2013Gaussian model. In addition to the generalized likelihood ratio test (GLRT) proposed in [1], the corresponding Rao test and Wald test are derived in this letter. By observing that obtaining their analytical performance is challenging, we further propose a new probability constraint estimator (PCE) of the unknown sparsity degree. Interestingly, by adopting the PCE, the GLRT, Rao and Wald tests are shown to be statistically equivalent and reduce to a new detector (i.e., the detector with PCE) with a simple structure. The analytical performance of the detector with PCE is thus derived, which is verified by Monte Carlo simulations. Finally, numerical experiments illustrate that the proposed Rao test and the detector with PCE outperform the original GLRT.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('608','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_608\" style=\"display:none;\"><div class=\"tp_abstract_entry\">In this letter, we investigate the problem of detecting compressed stochastic sparse signals with unknown sparsity degree under Bernoulli\u2013Gaussian model. In addition to the generalized likelihood ratio test (GLRT) proposed in [1], the corresponding Rao test and Wald test are derived in this letter. By observing that obtaining their analytical performance is challenging, we further propose a new probability constraint estimator (PCE) of the unknown sparsity degree. Interestingly, by adopting the PCE, the GLRT, Rao and Wald tests are shown to be statistically equivalent and reduce to a new detector (i.e., the detector with PCE) with a simple structure. The analytical performance of the detector with PCE is thus derived, which is verified by Monte Carlo simulations. Finally, numerical experiments illustrate that the proposed Rao test and the detector with PCE outperform the original GLRT.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('608','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">48.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Shota Ono, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki<\/p><p class=\"tp_pub_title\">AMoND: Area-Controlled Mobile Ad-hoc Networking with Digital Twin <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_type\" style=\"background-color:crimson;\">Open Access<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Access, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-1, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_603\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('603','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_603\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('603','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><span class=\"tp_resource_link\"> | <span class=\"tp_pub_links_label\">Links: <\/span><a class=\"tp_pub_link\" href=\"https:\/\/dx.doi.org\/10.1109\/ACCESS.2023.3304374\" title=\"Follow DOI:10.1109\/ACCESS.2023.3304374\" target=\"_blank\"><i class=\"ai ai-doi\"><\/i><\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_603\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10214544,<br \/>\r\ntitle = {AMoND: Area-Controlled Mobile Ad-hoc Networking with Digital Twin},<br \/>\r\nauthor = {Shota Ono and Taku Yamazaki and Takumi Miyoshi and Akihito Taya and Yuuki Nishiyama and Kaoru Sezaki},<br \/>\r\ndoi = {10.1109\/ACCESS.2023.3304374},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-08-01},<br \/>\r\nurldate = {2023-08-01},<br \/>\r\njournal = {IEEE Access},<br \/>\r\npages = {1-1},<br \/>\r\nabstract = {Future smart cities are expected to provide intelligent services such as predictions, detections, and automation through digital twins. However, the creation of digital twins requires the processing of an enormous amount of data, thereby leading to an increase in mobile network traffic. This traffic is produced by applications in user devices and city services, which engage in local consumption at the city scale through sensor and camera devices using mobile networks. Such increased traffic can compromise the communication speed and stability. To alleviate this burden, traffic offloading becomes a crucial consideration in the beyond-5G era. This paper presents a scheme known as Area-Controlled Mobile Ad-Hoc Networking (AMoND). AMoND uses a hierarchical structure of a location layer and an ad-hoc layer to construct area-controlled mobile ad-hoc networks (MANETs) for mutual support of the digital twin and MANETs. AMoND effectively suppresses mobile network traffic by harnessing the digital twin to assist the MANETs during data collection for the digital twin construction. Importantly, the digital twin used in AMoND focuses on the management of node location information and does not need to reproduce the real space on a computer fully. AMoND is not dependent on a specific MANET protocol and can be used as an add-on. AMoND exhibits the ability to reduce traffic volumes by up to approximately 65%, while maintaining arrival rates that are comparable to existing MANET protocols under certain conditions.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('603','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_603\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Future smart cities are expected to provide intelligent services such as predictions, detections, and automation through digital twins. However, the creation of digital twins requires the processing of an enormous amount of data, thereby leading to an increase in mobile network traffic. This traffic is produced by applications in user devices and city services, which engage in local consumption at the city scale through sensor and camera devices using mobile networks. Such increased traffic can compromise the communication speed and stability. To alleviate this burden, traffic offloading becomes a crucial consideration in the beyond-5G era. This paper presents a scheme known as Area-Controlled Mobile Ad-Hoc Networking (AMoND). AMoND uses a hierarchical structure of a location layer and an ad-hoc layer to construct area-controlled mobile ad-hoc networks (MANETs) for mutual support of the digital twin and MANETs. AMoND effectively suppresses mobile network traffic by harnessing the digital twin to assist the MANETs during data collection for the digital twin construction. Importantly, the digital twin used in AMoND focuses on the management of node location information and does not need to reproduce the real space on a computer fully. AMoND is not dependent on a specific MANET protocol and can be used as an add-on. AMoND exhibits the ability to reduce traffic volumes by up to approximately 65%, while maintaining arrival rates that are comparable to existing MANET protocols under certain conditions.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('603','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_Conferences\">Conferences<\/h3><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">49.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u5317\u68ee\u8fea\u8036, \u576a\u5185\u5b5d\u592a, \u897f\u5c3e\u4fe1\u5f66, \u897f\u5c71\u52c7\u6bc5, \u4e0b\u5742\u6b63\u502b<\/p><p class=\"tp_pub_title\">\u30cf\u30f3\u30ba\u30d5\u30ea\u30fc\u306e\u30c7\u30d0\u30a4\u30b9\u64cd\u4f5c\u306e\u305f\u3081\u306e\u6c4e\u7528\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306eIMU\u30bb\u30f3\u30b5\u30fc\u3092\u7528\u3044\u305f\u8868\u60c5\u8a8d\u8b58\u624b\u6cd5 <span class=\"tp_pub_type conference\">Conference<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09, <\/span><span class=\"tp_pub_additional_volume\">2023-UBI-80 <\/span>, <span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_611\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('611','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_611\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{ubi80_earable,<br \/>\r\ntitle = {\u30cf\u30f3\u30ba\u30d5\u30ea\u30fc\u306e\u30c7\u30d0\u30a4\u30b9\u64cd\u4f5c\u306e\u305f\u3081\u306e\u6c4e\u7528\u30a4\u30e4\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306eIMU\u30bb\u30f3\u30b5\u30fc\u3092\u7528\u3044\u305f\u8868\u60c5\u8a8d\u8b58\u624b\u6cd5},<br \/>\r\nauthor = {\u5317\u68ee\u8fea\u8036 and \u576a\u5185\u5b5d\u592a and \u897f\u5c3e\u4fe1\u5f66 and \u897f\u5c71\u52c7\u6bc5 and \u4e0b\u5742\u6b63\u502b},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-11-01},<br \/>\r\nurldate = {2023-11-01},<br \/>\r\nbooktitle = {\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09},<br \/>\r\nvolume = {2023-UBI-80},<br \/>\r\npages = {1 - 8},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('611','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">50.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">\u738b\u632f\u535a, \u7530\u8c37\u662d\u4ec1, \u52a0\u85e4\u8cb4\u662d, \u702c\u5d0e\u85ab, \u897f\u5c71\u52c7\u6bc5<\/p><p class=\"tp_pub_title\">\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u306e\u691c\u77e5\u306b\u5411\u3051\u3066\uff1a\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u7406\u5c3a\u5ea6\u3068\u306e\u95a2\u4fc2\u5206\u6790 <span class=\"tp_pub_type conference\">Conference<\/span> <span class=\"tp_pub_type\" style=\"background-color:darkgoldenrod;\">Award<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09, <\/span><span class=\"tp_pub_additional_volume\">2023-UBI-80 <\/span>, <span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_607\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('607','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_607\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('607','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_607\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{ubi80_alife,<br \/>\r\ntitle = {\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u306e\u691c\u77e5\u306b\u5411\u3051\u3066\uff1a\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u7406\u5c3a\u5ea6\u3068\u306e\u95a2\u4fc2\u5206\u6790},<br \/>\r\nauthor = {\u738b\u632f\u535a and \u7530\u8c37\u662d\u4ec1 and \u52a0\u85e4\u8cb4\u662d and \u702c\u5d0e\u85ab and \u897f\u5c71\u52c7\u6bc5},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-11-01},<br \/>\r\nurldate = {2023-11-01},<br \/>\r\nbooktitle = {\u7814\u7a76\u5831\u544a\u30e6\u30d3\u30ad\u30bf\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\uff08UBI\uff09},<br \/>\r\nvolume = {2023-UBI-80},<br \/>\r\npages = {1 - 8},<br \/>\r\nabstract = {\u7af6\u6280\u3068\u5b66\u696d\u306e\u4e21\u7acb\u3092\u76ee\u6307\u3059\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306b\u3068\u3063\u3066\uff0c\u81ea\u3089\u306e\u5fc3\u8eab\u306e\u5fc3\u7406\u7684\u30b9\u30c8\u30ec\u30b9\u3068\u56de\u5fa9\u72b6\u6cc1\u306e\u7cbe\u7dfb <br \/>\r\n\u306a\u628a\u63e1\u306f\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308b\uff0e\u65e2\u5b58\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\uff0c\u8eab\u4f53\u6d3b\u52d5\u3084\u5fc3\u8eab\u5065\u5eb7\u306e\u8abf\u67fb\u306f\u4e3b\u306b\u4e3b\u89b3\u7684\u306a\u5831\u544a\u306b\u4f9d\u5b58 <br \/>\r\n\u3057\u3066\u304a\u308a\uff0c\u6301\u7d9a\u7684\u3067\u5ba2\u89b3\u7684\u306a\u30c7\u30fc\u30bf\u306e\u30b5\u30dd\u30fc\u30c8\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\u305f\u3081\uff0c\u3042\u308b\u7a0b\u5ea6\u306e\u504f\u308a\u3068\u5236\u9650\u6027\u304c\u5b58\u5728\u3059\u308b\uff0e <br \/>\r\n\u3055\u3089\u306b\uff0c\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u7279\u6709\u306e\u30cb\u30fc\u30ba\u3084\u30e9\u30a4\u30d5\u30b9\u30bf\u30a4\u30eb\u306b\u5bfe\u3059\u308b\u7814\u7a76\u306f\u76f8\u5bfe\u7684\u306b\u4e0d\u8db3\u3057\u3066\u3044\u308b\uff0e\u305d\u3053\u3067 <br \/>\r\n\u672c\u7814\u7a76\u3067\u306f\uff0c\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u30fb\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306b\u642d\u8f09\u3055\u308c\u305f\u30bb\u30f3\u30b5\u3092\u6d3b\u7528\u3057\u3066\uff0c\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u7af6 <br \/>\r\n\u6280\u4e2d\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u9014\u5207\u308c\u308b\u3053\u3068\u306a\u304f\u7d99\u7d9a\u7684\u306b\u8ffd\u8de1\u3059\u308b\uff0e\u591a\u89d2\u7684\u306a\u30c7\u30fc\u30bf\u5206\u6790\u3092\u901a\u3058\u3066\uff0c\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8 <br \/>\r\n\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u3068\u306e\u95a2\u9023\u6027\u3092\u5206\u6790\u3059\u308b\uff0e\u307e\u305f\uff0c\u7af6\u6280\u4e2d\u306e\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u904b\u52d5\u91cf\uff0c\u5404 <br \/>\r\n\u7761\u7720\u30b9\u30c6\u30fc\u30b8\u306e\u6642\u9593\uff0c\u5404\u7570\u306a\u308b\u6642\u9593\u5e2f\u306e\u30c7\u30fc\u30bf\u3068\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u3068\u306e\u95a2\u9023\u6027\u3092\u8a73\u7d30\u306b\u5206\u6790\u3059\u308b\uff0e},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('607','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_607\" style=\"display:none;\"><div class=\"tp_abstract_entry\">\u7af6\u6280\u3068\u5b66\u696d\u306e\u4e21\u7acb\u3092\u76ee\u6307\u3059\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306b\u3068\u3063\u3066\uff0c\u81ea\u3089\u306e\u5fc3\u8eab\u306e\u5fc3\u7406\u7684\u30b9\u30c8\u30ec\u30b9\u3068\u56de\u5fa9\u72b6\u6cc1\u306e\u7cbe\u7dfb <br \/>\r\n\u306a\u628a\u63e1\u306f\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308b\uff0e\u65e2\u5b58\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\uff0c\u8eab\u4f53\u6d3b\u52d5\u3084\u5fc3\u8eab\u5065\u5eb7\u306e\u8abf\u67fb\u306f\u4e3b\u306b\u4e3b\u89b3\u7684\u306a\u5831\u544a\u306b\u4f9d\u5b58 <br \/>\r\n\u3057\u3066\u304a\u308a\uff0c\u6301\u7d9a\u7684\u3067\u5ba2\u89b3\u7684\u306a\u30c7\u30fc\u30bf\u306e\u30b5\u30dd\u30fc\u30c8\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\u305f\u3081\uff0c\u3042\u308b\u7a0b\u5ea6\u306e\u504f\u308a\u3068\u5236\u9650\u6027\u304c\u5b58\u5728\u3059\u308b\uff0e <br \/>\r\n\u3055\u3089\u306b\uff0c\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u7279\u6709\u306e\u30cb\u30fc\u30ba\u3084\u30e9\u30a4\u30d5\u30b9\u30bf\u30a4\u30eb\u306b\u5bfe\u3059\u308b\u7814\u7a76\u306f\u76f8\u5bfe\u7684\u306b\u4e0d\u8db3\u3057\u3066\u3044\u308b\uff0e\u305d\u3053\u3067 <br \/>\r\n\u672c\u7814\u7a76\u3067\u306f\uff0c\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u30fb\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306b\u642d\u8f09\u3055\u308c\u305f\u30bb\u30f3\u30b5\u3092\u6d3b\u7528\u3057\u3066\uff0c\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u7af6 <br \/>\r\n\u6280\u4e2d\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3092\u9014\u5207\u308c\u308b\u3053\u3068\u306a\u304f\u7d99\u7d9a\u7684\u306b\u8ffd\u8de1\u3059\u308b\uff0e\u591a\u89d2\u7684\u306a\u30c7\u30fc\u30bf\u5206\u6790\u3092\u901a\u3058\u3066\uff0c\u5b66\u751f\u30a2\u30b9\u30ea\u30fc\u30c8 <br \/>\r\n\u306e\u884c\u52d5\u30c7\u30fc\u30bf\u3068\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u3068\u306e\u95a2\u9023\u6027\u3092\u5206\u6790\u3059\u308b\uff0e\u307e\u305f\uff0c\u7af6\u6280\u4e2d\u306e\u30a2\u30b9\u30ea\u30fc\u30c8\u306e\u904b\u52d5\u91cf\uff0c\u5404 <br \/>\r\n\u7761\u7720\u30b9\u30c6\u30fc\u30b8\u306e\u6642\u9593\uff0c\u5404\u7570\u306a\u308b\u6642\u9593\u5e2f\u306e\u30c7\u30fc\u30bf\u3068\u5fc3\u8eab\u306e\u30b9\u30c8\u30ec\u30b9\u30fb\u56de\u5fa9\u72b6\u614b\u3068\u306e\u95a2\u9023\u6027\u3092\u8a73\u7d30\u306b\u5206\u6790\u3059\u308b\uff0e<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('607','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">437 entries<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 of 9 <a href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"next page\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/publication\/?limit=9&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"last page\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_locale":"en_US","_original_post":"http:\/\/www.mcl.iis.u-tokyo.ac.jp\/wordpress\/?page_id=100"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/pages\/1759"}],"collection":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/comments?post=1759"}],"version-history":[{"count":3,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/pages\/1759\/revisions"}],"predecessor-version":[{"id":1762,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/pages\/1759\/revisions\/1762"}],"wp:attachment":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/media?parent=1759"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}