{"id":1659,"date":"2023-07-07T08:10:37","date_gmt":"2023-07-06T23:10:37","guid":{"rendered":"https:\/\/www.waseda.jp\/fsci\/giti\/?p=1659"},"modified":"2024-05-07T08:10:54","modified_gmt":"2024-05-06T23:10:54","slug":"2013-2014-giti-research-bulletin-on-the-web-2-2","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/fsci\/giti\/news\/2023\/07\/07\/1659\/","title":{"rendered":"2022-2023 GITI Research Bulletin on the Web"},"content":{"rendered":"<h2 class=\"page-header-title\"><span class=\"global-bdcolor-dark\">\u696d\u7e3e\u4e00\u89a7\u00a0<small>Achievements and Social Activities of Faculty Members<\/small><\/span><\/h2>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000047_ja.html\">\u7b20\u4e95 \u88d5\u4e4b \u6559\u6388 Hiroyuki Kasai, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Zhongxi Fang, Jianming Huang, Xun Su, Hiroyuki Kasai, \u201cWasserstein Graph Distance based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees,\u201d The Association for the Advancement of Artificial Intelligence (AAAI) 2023, 2023.1.<\/li>\n<li>Mitsuhiko Horie and Hiroyuki Kasai, &#8220;Auto-weighted Sequential Wasserstein Distance and Application to Sequence Matching,&#8221; 30th International European Signal Processing Conference (EUSIPCO) 20202, 2022.8.<\/li>\n<li>Takumi Fukunaga and Hiroyuki Kasai, &#8220;Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed OT problem,&#8221; IEEE 47th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022, 2022.5.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Jiro KATTO --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000433_ja.html\">\u7532\u85e4\u3000\u4e8c\u90ce \u6559\u6388 Jiro KATTO, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng and Yibo Fan: \u201cAn Efficient Low-Complexity Convolutional Neural Network Filter,\u201d IEEE Multimedia, Mar.2022.<\/li>\n<li>Hidehiro Kanemitsu, Kenji Kanai, Jiro Katto &amp; Hidenori Nakazato: \u201cA containerized task clustering for scheduling workflows to utilize processors and containers on clouds,\u201d Journal of Supercomputing, Apr.2021.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Kasidis Arunruangsirilert, Bo Wei, Hang Song, and Jiro Katto: \u201cPensieve 5G: Implementation of RL-based ABR Algorithm for UHD 4K\/8K Content Delivery on Commercial 5G SA\/NR-DC Network,\u201d IEEE WCNC 2023, Mar.2023.<\/li>\n<li>Kasidis Arunruangsirilert, Pasapong Wongprasert, and Jiro Katto: \u201cPerformance Evaluations of C-Band 5G NR FR1 (Sub-6 GHz) Uplink MIMO on Urban Train,\u201d IEEE WCNC 2023, Mar.2023.<\/li>\n<li>Joi Shimizu, Shion Komatsu, Satsuki Kobayashi, Heming Sun and Jiro Katto: \u201ciPhone 240fps Video Dataset for Various Model Training Tasks,\u201d IEEE ICCE 2023, Jan.2023.<\/li>\n<li>Misa Nimura, Kenji Kanai and Jiro Katto: \u201cAccuracy evaluations of real-time LiDAR-based indoor localization system,\u201d IEEE ICCE 2023, Jan.2023.<\/li>\n<li>Shota Hirose, Heming Sun, Jiro Katto, Naoki Wada and Shiori Maki: \u201cABCAS: Adaptive Bound Control of Spectral Norm as Automatic Stabilizer,\u201d IEEE ICCE 2023, Jan.2023.<\/li>\n<li>Yusuke Tagashira, Yumeka Chujo, Kenji Kanai, Chihiro Nakatsuka, Kyohei Unno and Jiro Katto: \u201cLevel of Detail-based 3D Space Point Cloud Streaming and its Evaluation,\u201d IEEE CCNC 2023, Poster, Jan.2023.<\/li>\n<li>Heming Sun, Lu Yu and Jiro Katto: \u201cImproving Latent Quantization of Learned Image Compression with Gradient Scaling,\u201d IEEE VCIP 2022, Dec.2022.<\/li>\n<li>Heming Sun, Qingyang Yi, Fangzheng Lin, Lu Yu, Jiro Katto, and Masahiro Fujita: \u201cReal-time Learned Image Codec on FPGA,\u201d IEEE VCIP 2022, Dec.2022.<\/li>\n<li>Jinming Liu, Heming Sun and Jiro Katto: \u201cSemantic Segmentation in Learned Compressed Domain,\u201d PCS 2022, Dec.2022.<\/li>\n<li>Yutaka KATSUYAMA, Toshio SATO, Kazuhiko TAMESUE, Takuro SATO, Yuichi NAKAMURA, and Jiro KATTO: \u201cA Study of Prediction of Operation Information by LSTM Using ElectroMyoGraphy Signals and Operation Information,\u201d ICETC 2022, Nov.2022.<\/li>\n<li>Xin QI, Toshio SATO, Zheng WEN, Masaru TAKEUCHI, Yutaka KATSUYAMA, Kazuhiko TAMESUE, Kazue SAKO, Jiro KATTO and Takuro SATO: \u201cGNSS Spoofing Detection using Multiple Sensing Devices and Decision Tree Classifier,\u201d ICETC 2022, Nov.2022.<\/li>\n<li>Heming Sun, Yiqing Yang, Fangzheng Lin, Lu Yu, Jiro Katto, and Masahiro Fujita: \u201cF-LIC: FPGA-based learned image compression with a fine-grained pipeline,\u201d IEEE ASSCC 2022, Nov.2022.<\/li>\n<li>Ao Luo, Heming Sun, Jinming Liu, and Jiro Katto: \u201cLearned Image Compression with Filter-Pruned Hyperprior Module\u201d IEEE ICIP 2022, Oct.2022.<\/li>\n<li>Fangzheng Lin, Heming Sun, and Jiro Katto: \u201cStreaming-Capable High-Performance Architecture of Learned Image Compression Codecs,\u201d IEEE ICIP 2022, Oct.2022.<\/li>\n<li>Kenji Kanai, Toshitaka Tsuda, Hidenori Nakazato, Jiro Katto: \u201cInformation-Centric Service Mesh for Autonomous In-network Computing,\u201d ACM ICN 2022, Sep.2022.<\/li>\n<li>Jiro Katto: \u201cRecent Advances in Learned Image\/Video Compression,\u201d SISA 2022, Sep.2022 (Keynote).<\/li>\n<li>Mayu Arai, Kenji Kanai, Jiro Katto: \u201cAccuracy evaluations of non-contact heart rate estimation using remote videos,\u201d SISA 2022, Sep.2022.<\/li>\n<li>Yumeka Chujo, Kenji Kanai, Jiro Katto: \u201cPerformance Evaluations of 3D Point Cloud Streaming System based on MPEG-DASH,\u201d SISA 2022, Sep.2022.<\/li>\n<li>Misa Nimura, Kenji Kanai, Jiro Katto: \u201cA Prototype Implementation of LiDAR-based Indoor Localization System and Its Performance,\u201d SISA 2022, Sep.2022.<\/li>\n<li>Jinming Liu, Heming Sun, and Jiro Katto: \u201cImproving Multiple Machine Vision Tasks in the Compressed Domain,\u201d ICPR 2022, Aug.2022.<\/li>\n<li>Kasidis Arunruangsirilert, Bo Wei, Jiro Katto, and Hang Song: \u201cPerformance Evaluation of Low-Latency Live Streaming of MPEG-DASH UHD video over Commercial 5G NSA\/SA Network,\u201d IEEE ICCCN 2022 Workshop, July 2022.<\/li>\n<li>Yumeka Chujo, Kenji Kanai, and Jiro Katto: \u201cImplementation and Demonstration of Real-time Point Cloud Streaming System using HoloLens,\u201d IEEE ICCE-TW, July 2022.<\/li>\n<li>Aorui Gou, Heming Sun, Jiro Katto, Tingting Li, Xiaoyang Zeng, and Yibo Fan: \u201cFast Intra Mode Decision for VVC Based on Histogram of Oriented Gradient,\u201d IEEE ISCAS 2022, May 2022.<\/li>\n<li>Daiki Maruyama, Bo Wei, Hang Song, and Jiro Katto: \u201cPilot Allocation Optimization using Digital Annealer for Multi-cell Massive MIMO,\u201d IEEE WCNC 2022, Apr.2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u4e2d\u6761\u5922\u4f73\u30fb\u7530\u982d\u53f3\u4e1e\u30fb\u539f\u7530\u512a\u8863\u5b50\u30fb\u91d1\u4e95\u8b19\u6cbb\u30fb\u7532\u85e4\u4e8c\u90ce: \u201c\u77e5\u899a\u54c1\u8cea\u7279\u6027\u3092\u8003\u616e\u3057\u305f\u70b9\u7fa4\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u306e\u6027\u80fd\u8a55\u4fa1,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30af\u30aa\u30ea\u30c6\u30a3\u7814\u7a76\u4f1a, Mar.2023.<\/li>\n<li>\u7530\u982d\u53f3\u4e1e\u30fb\u4e2d\u6761\u5922\u4f73\u30fb\u91d1\u4e95\u8b19\u6cbb\u30fb\u4e2d\u585a\u667a\u5c0b\u30fb\u6d77\u91ce\u606d\u5e73\u30fb\u7532\u85e4\u4e8c\u90ce: \u201cLoD\u306b\u57fa\u3065\u304f3\u6b21\u5143\u7a7a\u9593\u70b9\u7fa4\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u306e\u6027\u80fd\u8a55\u4fa1,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u753b\u50cf\u5de5\u5b66\u7814\u7a76\u4f1a, Mar.2023.<\/li>\n<li>\u7af9\u5185\u5065\u30fb\u624d\u6240\u654f\u660e\u30fb\u56db\u65b9\u9806\u53f8\u30fb\u4f50\u85e4\u4fca\u96c4\u30fb\u4f50\u53e4\u548c\u6075\u30fb\u7532\u85e4\u4e8c\u90ce\u30fb\u4f50\u85e4\u62d3\u6717: \u201c\u8d85\u591a\u6570\u30fb\u591a\u7a2e\u79fb\u52d5\u4f53\u306b\u3088\u308b\u4eba\u6d41\u30fb\u7269\u6d41\u306e\u305f\u3081\u306e\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u57fa\u76e4\u6280\u8853\u306e\u691c\u8a0e,\u201c\u3000\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u60c5\u5831\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u7814\u7a76\u4f1a, Mar.2023.<\/li>\n<li>\u7532\u85e4\u4e8c\u90ce\u30fb\u52dd\u5c71\u3000\u88d5\u30fb\u5c0f\u91ce\u6d69\u53f8\u30fb\u4e2d\u6751\u88d5\u4e00: \u201c\u4f4e\u9045\u5ef6\u3067\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30bc\u30ed\u30ec\u30a4\u30c6\u30f3\u30b7\u30fc\u6620\u50cf\u30fbSomatic\u7d71\u5408\u30cd\u30c3\u30c8\u30ef\u30fc\u30af,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u60c5\u5831\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7814\u7a76\u4f1a, Dec.2022\uff08\u62db\u5f85\u8b1b\u6f14\uff09.<\/li>\n<li>Heming Sun, Qingyang Yi, Jiro Katto and Masahiro Fujita: \u201cFPGA Implementation of Learned Image Compression,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a VLSI\u8a2d\u8a08\u6280\u8853\u7814\u7a76\u4f1a, Nov.2022.<\/li>\n<li>\u4e2d\u6761\u5922\u4f73\u30fb\u7530\u982d\u53f3\u4e1e\u30fb\u91d1\u4e95\u8b19\u6cbb\u30fb\u7532\u85e4\u4e8c\u90ce: \u201c\u30b3\u30f3\u30c6\u30f3\u30c4\u99c6\u52d5\u578b\u70b9\u7fa4\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u306e\u5b9f\u88c5\u3068\u8a55\u4fa1,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, Nov.2022.<\/li>\n<li>\u4e8c\u6751\u7f8e\u5f69\u30fb\u91d1\u4e95\u8b19\u6cbb\u30fb\u7532\u85e4\u4e8c\u90ce: \u201cLiDAR SLAM\u304a\u3088\u30733D\u70b9\u7fa4\u30de\u30c3\u30d7\u3092\u4f7f\u7528\u3057\u305f\u79fb\u52d5\u4f53\u306e\u5c4b\u5185\u4f4d\u7f6e\u63a8\u5b9a\u3068\u53ef\u8996\u5316\u30b7\u30b9\u30c6\u30e0\u306e\u6027\u80fd\u8a55\u4fa1,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, Nov.2022.<\/li>\n<li>\u6751\u5c71\u77e5\u8f1d\u30fb\u91d1\u4e95\u8b19\u6cbb\u30fb\u91d1\u5149\u6c38\u7165\u30fb\u7532\u85e4\u4e8c\u90ce\u30fb\u4e2d\u91cc\u79c0\u5247\u30fb\u6d25\u7530\u4fca\u9686: \u201c\u52b9\u7387\u7684\u306a\u8a08\u7b97\u30ea\u30bd\u30fc\u30b9\u904b\u7528\u3092\u5b9f\u73fe\u3059\u308b\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5185\u5206\u6563\u51e6\u7406\u306e\u6027\u80fd\u8a55\u4fa1,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, Jul.2022.<\/li>\n<li>\u4e8c\u6751\u7f8e\u5f69\u30fb\u91d1\u4e95\u8b19\u6cbb\u30fb\u7532\u85e4\u4e8c\u90ce: \u201cLiDAR\u3092\u4f7f\u7528\u3057\u305f\u79fb\u52d5\u4f53\u306e\u5c4b\u5185\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5\u306e\u7cbe\u5ea6\u8a55\u4fa1,\u201c \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, May.2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u5927\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>Bo Wei\u30fbYuto Sano\u30fbHikaru Kawasaki\u30fbHomare Murakami\u30fbKazuo Ibuka\u30fbHirokazu Sawada\u30fbTakeshi Matsumura\u30fbHang Song\u30fbJiro Katto: \u201cStatistical characteristics of 5G NSA network communication,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, Mar.2023.<\/li>\n<li>\u4f50\u85e4\u4fca\u96c4\u30fb\u6587\u912d\u30fb\u6589\u6b23\u30fb\u7af9\u5185\u5065\u30fb\u624d\u6240\u654f\u660e\u30fb\u7232\u672b\u548c\u5f66\u30fb\u52dd\u5c71\u88d5\u30fb\u4f50\u53e4\u548c\u6075\u30fb\u7532\u85e4\u4e8c\u90ce\u30fb\u4f50\u85e4\u62d3\u6717: \u201c\u8907\u6570\u306e\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u3068\u591a\u5909\u91cfLSTM\u3092\u7528\u3044\u305fGNSS\u507d\u88c5\u691c\u77e5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, Mar.2023.<\/li>\n<li>\u4f50\u91ce\u512a\u6597\u30fb\u9b4f\u535a\u30fb\u5b8b\u822a\u30fb\u7532\u85e4\u4e8c\u90ce: \u201cQ\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30d3\u30c3\u30c8\u30ec\u30fc\u30c8\u5236\u5fa1\u624b\u6cd5\u306e\u5b9f\u88c5\u304a\u3088\u3073\u305d\u306e\u8a55\u4fa1,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a, Sep.2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8868\u5f70 Award<\/strong>\n<ul>\n<li>\u7a0b\u6b63\u96ea\u30fb\u5b6b\u9db4\u9cf4\u30fb\u7af9\u5185\u5065\u30fb\u7532\u85e4\u4e8c\u90ce: \u7b2c38\u56de\u96fb\u6c17\u901a\u4fe1\u666e\u53ca\u8ca1\u56e3\u8cde\uff08\u30c6\u30ec\u30b3\u30e0\u30b7\u30b9\u30c6\u30e0\u6280\u8853\u8cde\uff09<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Academic Society Activity<\/strong>\n<ul>\n<li>\u7dcf\u52d9\u7701\u30fb\u653e\u9001\u30b7\u30b9\u30c6\u30e0\u59d4\u54e1\u4f1a \u5c02\u9580\u59d4\u54e1<\/li>\n<li>\u65e5\u672c\u5b66\u8853\u632f\u8208\u4f1a\u30fb\u5b66\u8853\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u30bb\u30f3\u30bf\u30fc \u5c02\u9580\u7814\u7a76\u54e1<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7279\u8a31 Patent<\/strong>\n<ul>\n<li>\u7279\u98582022-154191: \u30c7\u30fc\u30bf\u4f1d\u9001\u65b9\u6cd5\u53ca\u3073\u30c7\u30fc\u30bf\u4f1d\u9001\u30b7\u30b9\u30c6\u30e0, Sep.2022.<\/li>\n<li>\u7279\u98582022-154192: \u30c7\u30fc\u30bf\u4f1d\u9001\u65b9\u6cd5\u53ca\u3073\u30c7\u30fc\u30bf\u4f1d\u9001\u30b7\u30b9\u30c6\u30e0, Sep.2022.<\/li>\n<li>\u7279\u98582023-49862: \u5fc3\u62cd\u60c5\u5831\u96a0\u853d\u6620\u50cf\u4f1d\u9001\u65b9\u5f0f\u304a\u3088\u3073\u88c5\u7f6e, Mar.2023.<\/li>\n<li>\u7279\u98582023-49863: \u6620\u50cf\u8d85\u89e3\u50cf\u65b9\u5f0f\u304a\u3088\u3073\u88c5\u7f6e, Mar.2023.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u305d\u306e\u4ed6 Else<\/strong>\n<ul>\n<li>\u7532\u85e4\u4e8c\u90ce: \u201c\u753b\u50cf\u5727\u7e2e\u30fb\u753b\u50cf\u901a\u4fe1\u306b\u5bfe\u3059\u308b\u6df1\u5c64\u5b66\u7fd2\u5fdc\u7528\u3068\u7814\u7a76\u958b\u767a\u4e8b\u4f8b,\u201d \u753b\u50cf\u96fb\u5b50\u5b66\u4f1a\u8a8c, Jul.2022.<\/li>\n<li>\u7532\u85e4\u4e8c\u90ce: \u201c\u6620\u50cf\u7b26\u53f7\u5316\u30fb\u914d\u4fe1\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u306e\u5e83\u304c\u308a,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8a8c, May 2022.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Wataru KAMEYAMA --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000297_ja.html\">\u4e80\u5c71\u3000\u6e09 \u6559\u6388 Wataru KAMEYAMA, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Yuan CHANG, Wataru KAMEYAMA, &#8220;Driver Drowsiness Detection by Multitask and Transfer Learning,&#8221; Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121770L (30 April 2022); https:\/\/doi.org\/10.1117\/12.2624201, 2022\u5e744\u6708.<br \/>\n[Abstract] In this busy modern society, there are many external and psychological factors that can cause people to feel tired. The severity of fatigue driving is comparable to drunk driving when we consider the accident rate. Therefore, how to avoid this situation has become an important issue. With the trend of machine learning becoming more mature, facial expression recognition has been widely used in real life. A large number of studies and reports about fatigue driving detection and how to improve fatigue driving can be found. Most of them either detect drowsiness states without detailed facial expressions or just look at a single part of face such as eye or mouth. However, we consider that each facial feature is highly correlated. For example, when a driver gets tired, his\/her mouth and eyes are thought to change the states together. Thus, it is important to evaluate more than one facial feature at a time. Therefore, in this paper, we propose a new driver-drowsiness detection method by using multi-task and transfer learning. The proposed method first captures the drivers\u2019 facial areas frame-by-frame in videos, and learns different facial features synchronously. The experimental results show that the proposal outperforms the ever-proposed methods on four scenarios out of the five and on the average in the NTHU driver drowsiness detection video dataset.<\/li>\n<li>Kanato SAKAMA, Shunichi SEKIGUCHI, Wataru KAMEYAMA, &#8220;Performance Analysis of Generated Predictive Frames using PredNet Bi-directionally,&#8221; Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121772O (30 April 2022); https:\/\/doi.org\/10.1117\/12.2625172, 2022\u5e744\u6708.<br \/>\n[Abstract] For generating motion-compensated predictive frames, which is one of the video coding processes, there has been a lot of studies on using DNN without using motion vectors. Conventional methods of generating motion-compensated predictive frames using DNN use only the source frames for prediction in the forward direction. However, in the ever-standardized video coding schemes, it has been confirmed that the bi-directional prediction, e.g., B-picture, improves coding efficiency. Thus, for generating motion-compensated predictive frames to be used in video coding, we propose to apply PredNet bidirectionally, that is a future frame generation model using DNN based on the prediction process of visual input stimuli in brain. In this paper, the performance of the predictive frames generated by the proposed method is evaluated by using MSE and SSIM compared with the prediction accuracy applying PredNet only to the forward direction. In addition, we also investigate whether the prediction accuracy of the predicted frames can be improved by increasing the amount of training frames in videos chosen from YouTube-8M. The results show the effectiveness of the proposed method in terms of less prediction error compared with the forward-only PredNet, as well as the performance increasing by more training data.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Kosuke KUROSAWA, Mutsumi SUGANUMA, Wataru KAMEYAMA, &#8220;A Consideration on Efficient Detection Method ofAnormal Responses in High-dimensional Questionnaire Data,&#8221; 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), Oct. 18-21, 2022, Osaka, Japan, pp.154-155.<\/li>\n<li>Erika SAITO, Wataru KAMEYAMA, Toshio SATO, Yutaka KATSUYAMA, Takuro SATO, &#8220;Evaluation on a Method of Detecting Suspicious Objects Using Time-Series Images Taken by Passive and Active Imagers of W-Band Radar,&#8221; 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), Oct. 18-21, 2022, Osaka, Japan, pp.536-537.<\/li>\n<li>Dingjie PENG, Wataru KAMEYAMA, &#8220;A Transformer-based Semantic Segmentation Model for Street Fashion Images,&#8221; 2023 International Workshop on Advanced Image Technology (IWAIT), P-ID 002, Jan. 9-11, Jeju, Korea.<\/li>\n<li>Kanato SAKAMA, Shunichi Sekiguchi, Wataru KAMEYAMA, &#8220;Performance Analysis of Generated Predictive Frames Using PredNet with Multiple Convolution Kernels,&#8221; 2023 International Workshop on Advanced Image Technology (IWAIT), P-ID 086, Jan. 9-11, Jeju, Korea.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u5c0f\u91ce \u6d69\u8f1d, \u4e95\u4e0a \u7adc\u4e00, \u83c5\u6cbc \u7766, \u4e80\u5c71 \u6e09, &#8220;\u751f\u4f53\u60c5\u5831\u3068\u6620\u50cf\u306e\u7269\u7406\u7279\u5fb4\u91cf \u3092\u7528\u3044\u305fDNN\u306b\u3088\u308b\u6620\u50cf\u8996\u8074\u8005\u306e\u672a\u5b66\u7fd2\u6620\u50cf\u306b\u304a\u3051\u308b\u611f\u60c5\u5206\u985e\u7cbe\u5ea6\u306e\u5411\u4e0a\u306b\u95a2 \u3059\u308b\u691c\u8a0e,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, HCG\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022, C-2-6, 2022\u5e7412\u6708.<\/li>\n<li>\u524d\u5742 \u525b, \u9752\u5c71 \u9756, \u85e4\u4e95 \u79c0\u5f66, \u4e80\u5c71 \u6e09, &#8220;\u6975\u7aef\u6c17\u8c61\u306e\u65e9\u671f\u4e88\u6e2c\u306e\u305f\u3081\u306e\u96f2\u30fb \u6c34\u84b8\u6c17\u89b3\u6e2c\u30ec\u30fc\u30c0\u30fc\u306b\u3064\u3044\u3066,&#8221; \u4fe1\u5b66\u6280\u5831, Vol.122, No.408, SANE2022-112, pp.76-80, 2023\u5e743\u6708.<\/li>\n<li>\u4eca\u4e95 \u83dc\u7dd2\u5b50, \u95a2\u53e3 \u4fca\u4e00, \u4e80\u5c71 \u6e09, &#8220;GAN\u3068PredNet\u3092\u7528\u3044\u305f\u6620\u50cf\u30d5\u30ec\u30fc\u30e0 \u4e88\u6e2c\u7cbe\u5ea6\u5411\u4e0a\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; \u4fe1\u5b66\u6280\u5831, Vol.122, No.439, IE2022-157, pp.309-314, 2023\u5e743\u6708.<\/li>\n<li>\u5742\u9593 \u594f\u6597, \u95a2\u53e3 \u4fca\u4e00, \u4e80\u5c71 \u6e09, &#8220;\u7591\u4f3c\u7684\u306a\u672a\u6765\u30d5\u30ec\u30fc\u30e0\u7279\u5fb4\u91cf\u3092\u8003\u616e\u3057 \u305fPredNet\u306e\u4e88\u6e2c\u6027\u80fd\u6539\u5584\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; \u4fe1\u5b66\u6280\u5831, Vol.122, No.439, IE2022-158, pp.315-320, 2023\u5e743\u6708.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u5927\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u7530 \u4fca\u9038, \u4e80\u5c71 \u6e09, &#8220;\u4eba\u306e\u9aa8\u683c\u60c5\u5831\u3092\u7528\u3044\u305f\u6620\u50cf\u304b\u3089\u306e\u4e0d\u5be9\u884c\u52d5\u691c\u77e5\u306b\u95a2\u3059 \u308b\u691c\u8a0e,&#8221; \u60c5\u5831\u79d1\u5b66\u6280\u8853\u30d5\u30a9\u30fc\u30e9\u30e0FIT2022, H-010, 2022\u5e749\u6708.<\/li>\n<li>Zheng Wen, Xin Qi, Toshio Sato, Yutaka Katsuyama, Kazuhiko Tamesue, Kazue Sako, Jiro Katto, Wataru Kameyama, Takuro Sato, &#8220;Experimental Evaluation of SDR-based GNSS Spoofing Attacks,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u7dcf\u5408\u5927\u4f1a, A-18-14, 2023\u5e743\u6708.<\/li>\n<li>\u62bc\u5c71 \u7fd4, \u4e80\u5c71 \u6e09, &#8220;\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u4f7f\u7528\u8005\u306e\u5b9f\u751f\u6d3b\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u30d3\u30c3\u30c8 \u30ec\u30fc\u30c8\u5909\u52d5\u3092\u8003\u616e\u3057\u305f\u4e3b\u89b3\u52d5\u753b\u50cf\u54c1\u8cea\u306e\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831 \u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, B-11-8, 2023\u5e743\u6708.<\/li>\n<li>\u5b89\u85e4 \u5149\u7d00, \u4e80\u5c71 \u6e09, &#8220;HMD \u306b\u3088\u308b 360\u00b0\u52d5\u753b\u50cf\u8996\u8074\u6642\u306e\u751f\u4f53\u60c5\u5831\u3092\u5229\u7528\u3057 \u305f\u4e3b\u89b3\u52d5\u753b\u50cf\u54c1\u8cea\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, B-11-9, 2023\u5e743\u6708.<\/li>\n<li>\u5c71\u53e3 \u7fd4\u592a\u90ce, \u4e80\u5c71 \u6e09, &#8220;\u751f\u4f53\u60c5\u5831\u3068\u97f3\u97ff\u7279\u5fb4\u91cf\u306b\u3088\u308b\u697d\u66f2\u8074\u53d6\u8005\u306e\u611f\u60c5\u63a8 \u5b9a\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, H-2-11, 2023\u5e743\u6708.<\/li>\n<li>\u4e95\u4e0a \u7adc\u4e00, \u5c0f\u91ce \u6d69\u8f1d, \u83c5\u6cbc \u7766, \u4e80\u5c71 \u6e09, &#8220;\u751f\u4f53\u60c5\u5831\u3068\u6620\u50cf\u306e\u7269\u7406\u7279\u5fb4 \u91cf\u53ca\u3073\u97f3\u6e90\u5206\u96e2\u306b\u3088\u308b\u97f3\u97ff\u7279\u5fb4\u91cf\u3092\u5229\u7528\u3057\u305f\u6620\u50cf\u8996\u8074\u8005\u306e\u611f\u60c5\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u691c \u8a0e,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, H-2-12, 2023\u5e743\u6708.<\/li>\n<li>\u753a\u7530 \u89aa\u7d00, \u4e80\u5c71 \u6e09, &#8220;\u751f\u4f53\u60c5\u5831\u3068\u6295\u7a3f\u95a2\u9023\u60c5\u5831\u306b\u3088\u308bSNS\u30e6\u30fc\u30b6\u306e\u611f\u60c5\u63a8 \u5b9a\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, H-2-13, 2023\u5e743\u6708.<\/li>\n<li>\u4e95\u6fa4 \u656c\u592a, \u4e80\u5c71 \u6e09, &#8220;\u8ee2\u79fb\u5b66\u7fd2\u53ca\u3073\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u306b\u3088\u308b\u52d5\u753b\u50cf \u8996\u8074\u8005\u306e\u611f\u60c5\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, H-2-14, 2023\u5e743\u6708.<\/li>\n<li>\u5c0f\u91ce \u6d69\u8f1d, \u4e95\u4e0a \u7adc\u4e00, \u83c5\u6cbc \u7766, \u4e80\u5c71 \u6e09, &#8220;\u6642\u7cfb\u5217\u5206\u6790\u306b\u3088\u308b\u751f\u4f53\u60c5\u5831 \u3068\u6620\u50cf\u306e\u7269\u7406\u7279\u5fb4\u91cf\u3092\u7528\u3044\u305f\u672a\u5b66\u7fd2\u6620\u50cf\u3067\u306e\u611f\u60c5\u5206\u985e\u7cbe\u5ea6\u306e\u5411\u4e0a\u306b\u95a2\u3059\u308b\u691c\u8a0e,&#8221; 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, H-2-15, 2023\u5e743\u6708.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Takashi KAWAI --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000197_ja.html\">\u6cb3\u5408\u3000\u9686\u53f2 \u6559\u6388 Takashi KAWAI, Professor<\/a><\/strong><\/li>\n<\/ul>\n<p><!-- Tetsuya KAWANISHI --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001043_ja.html\">\u5ddd\u897f\u3000\u54f2\u4e5f \u6559\u6388 Tetsuya KAWANISHI, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>&#8211; Qingchuan Huang, Tetsuya Kawanishi. \u201cPrecise RF Phase Measurement by Optical Sideband Generation Using Mach\u2013Zehnder Modulators,\u201d In Photonics, Vol.10, No.3, page 324. 2023.<\/li>\n<li>Ukrit Mankong, Pakawat Chamsuk, Sitthichok Nakprasert, Sangdaun Potha, Zu-Kai Weng, Pham Tien Dat, Atsushi Kanno and Tetsuya Kawanishi, \u201cMillimeter Wave Attenuation Due to Wind and Heavy Rain in a Tropical Region,\u201d In Sensors, Vol.23, No.5, page 2532. 2023.<\/li>\n<li>Satomi Masuda, Zhou Zhongqi, Maiko Kitamura, Mao Morishita, Kunihisa Jitsuno, Keizo Inagaki, Atsushi Kanno and Tetsuya Kawanishi, \u201cIn-vehicle NLOS pedestrian detection system using secondary radar based on frequency doubling and oversampling signal analysis,\u201d In IEICE Communications Express, Vol.11, No.9, page 560-565. 2022.<\/li>\n<li>Ryoga Kawabata, Syota Nakamaru, Kunihisa Jitsuno, Keizo Inagaki and Tetsuya Kawanishi, \u201cStability of MMF transmission characteristics with wide variety of laser linewidth,\u201d In IEICE Communications Express, Vol.11, No.9, page 555-559. 2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Tetsuya Kawanishi, Keizo Inagaki, Kunihisa Jitsuno, Riku Yoshino and Toshiya Yoshida \u201cWideband Propagation and Scattering Measurement by Flexible Waveguides,\u201d 2022 IEEE Conference on Antenna Measurements and Applications (CAMA), December 2022<\/li>\n<li>Yu Zhou, Zu-Kai Weng, Keizo Inagaki, Atsushi Kanno and Tetsuya Kawanishi, \u201cPhase noise sensitivity of coherent FMCW LiDAR measured by variable linewidth laser with low-frequency compensation and mirror method,\u201d 2022 Asia Communications and Photonics Conference (ACP), November 2022<\/li>\n<li>Zu-Kai Weng, Pham Tien Dat, Atsushi Kanno and Tetsuya Kawanishi, \u201cQuasi 2-bit 32-QAM OFDM based Digital RoF Link by Delta-sigma Modulation at 2.5 Gbit\/s,\u201d 2022 IEEE International Topical Meeting on Microwave Photonics (MWP), October 2022<\/li>\n<li>Tetsuya Kawanishi, \u201cLightwave modulation for high-performance radio-over-fiber systems,\u201d Conference on Lasers and Electro-Optics\/Pacific Rim, August 2022<\/li>\n<li>Tetsuya Kawanishi, \u201cTHz and photonics convergence for future access links,\u201d 2022 IEEE International Topical Meeting on Microwave Photonics (MWP), October 2022<\/li>\n<li>Hayato Takemura, Haruto Shinya, Yuya Yamaguchi, Toshimasa Umezawa, Atsushi Kanno and Tetsuya Kawanishi, \u201cHigh-Speed Beam Steering LN Optical Phased Array Module using Comb-Electrode,\u201d 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), July 2022<\/li>\n<li>Yaofeng Yi, Toshimasa Umezawa, Atsushi Kanno and Tetsuya Kawanishi, \u201c50 GHz High Photocurrent PIN-PD and Its Thermal Effect,\u201d 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), July 2022<\/li>\n<li>Siyang Duan, Toshimasa Umezawa, Atsushi Kanno and Tetsuya Kawanishi, \u201cHigh-Efficient Pixel Layout Arrangement in High-Speed 2-D Photodetector Array,\u201d 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), July 2022<\/li>\n<li>Hiroki Yasuda, Toshinori Suzuki, Satoshi Tanaka, Takamitsu Aiba, Tomohiro Wakabayashi and Tetsuya Kawanishi \u201cCoverage Extension of 28 GHz Band Uplink Signals Inside Vehicle Using Analog Radio over Multi-Mode Fiber,\u201d 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), July 2022<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>Chen Zheng, Yu Zhou, Keizo Inagaki and Tetsuya Kawanishi\uff0c\u201dA method to compensate low frequency component for variable-linewidth laser controlled by Brownian random walk phase noise\u201c\uff0c\u4fe1\u5b66\u6280\u5831 MWPTHz2022-56\uff0c2022\u5e74<\/li>\n<li>\u9ec4\u3000\u6674\u5ddd, \u7a32\u57a3\u6075\u4e09, \u5ddd\u897f\u54f2\u4e5f\uff0c\u201d\u5149\u30b9\u30da\u30af\u30c8\u30eb\u89e3\u6790\u306b\u57fa\u3065\u304f\u30de\u30c3\u30cf\u30c4\u30a7\u30f3\u30c0\u30fc\u5909\u8abf\u5668\u3092\u7528\u3044\u305f\u5149\u30fbRF\u4fe1\u53f7\u306e\u4f4d\u76f8\u6e2c\u5b9a\u201c\uff0c\u4fe1\u5b66\u6280\u5831 MWPTHz2022-55\uff0c2022\u5e74 &#8211; \u5ddd\u897f\u54f2\u4e5f\uff0c\u201d300GHz\u5e2f\u53cc\u65b9\u5411\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u7121\u7dda\u4f1d\u9001\u30b7\u30b9\u30c6\u30e0\u201c\uff0c\u4fe1\u5b66\u6280\u5831 MWPTHz2022-54\uff0c2022\u5e74<\/li>\n<li>\u99ae\u3000\u82e5\u52f3, \u7a32\u57a3\u6075\u4e09, \u5ddd\u897f\u54f2\u4e5f\uff0c\u201d\u8d70\u67fb\u578b\u30c6\u30e9\u30d8\u30eb\u30c4\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u7528F\u03b8\u30ec\u30f3\u30ba\u306e\u8a2d\u8a08\u201c\uff0c\u4fe1\u5b66\u6280\u5831 MWPTHz2022-44\uff0c2022\u5e74<\/li>\n<li>\u5b89\u7530\u88d5\u7d00, \u76f8\u8449\u5b5d\u5145, \u9234\u6728\u654f\u8a13, \u7530\u4e2d\u8061, \u82e5\u6797\u77e5\u656c, \u5ddd\u897f\u54f2\u4e5f\uff0c\u201dA-RoMMF\u306b\u3088\u308b28GHz\u7121\u7dda\u4fe1\u53f7\u306e\u30a2\u30c3\u30d7\u30ea\u30f3\u30af\u4e2d\u7d99\u4f1d\u9001\u201c\uff0c\u4fe1\u5b66\u6280\u5831 MWPTHz2022-39\uff0c2022\u5e74<\/li>\n<li>\u5409\u91ce\u7406\u7396, \u5409\u7530\u5229\u54c9, \u5b9f\u91ce\u90a6\u4e45, \u7a32\u57a3\u6075\u4e09, \u5ddd\u897f\u54f2\u4e5f\uff0c\u201d\u6728\u6750\u304a\u3088\u3073\u77f3\u6750\u8868\u9762\u306b\u3088\u308b\u30c6\u30e9\u30d8\u30eb\u30c4\u5e2f\u6563\u4e71\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u201c\uff0c\u4fe1\u5b66\u6280\u5831 MWPTHz2022-27\uff0c2022\u5e74<\/li>\n<li>\u702c\u6238\u7950\u6a39, \u7a32\u57a3\u6075\u4e09, \u5ddd\u897f\u54f2\u4e5f\uff0c\u201d\u30d9\u30af\u30c8\u30eb\u5909\u8abf\u306e\u305f\u3081\u306eEA\u5909\u8abf\u5668\u96c6\u7a4d\u30ec\u30fc\u30b6\u306e\u57fa\u672c\u7279\u6027\u6e2c\u5b9a\u201c\uff0c\u4fe1\u5b66\u6280\u5831 MWPTHz2022-26\uff0c2022\u5e74<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Daisuke Kawahara --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001978_ja.html\">\u6cb3\u539f \u5927\u8f14 \u6559\u6388 Daisuke Kawahara, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>\u6817\u539f\u5065\u592a\u90ce, \u6cb3\u539f\u5927\u8f14, \u67f4\u7530\u77e5\u79c0. JGLUE: \u65e5\u672c\u8a9e\u8a00\u8a9e\u7406\u89e3\u30d9\u30f3\u30c1\u30de\u30fc\u30af. \u81ea\u7136\u8a00\u8a9e\u51e6\u7406, 30\u5dfb, 1\u53f7, pp.63-87, 2023.3.<br \/>\n[Abstract]<br \/>\n\u9ad8\u6027\u80fd\u306a\u8a00\u8a9e\u7406\u89e3\u30e2\u30c7\u30eb\u3092\u958b\u767a\u3059\u308b\u305f\u3081\u306b\u306f\uff0c\u8a00\u8a9e\u7406\u89e3\u306e\u80fd\u529b\u3092\u69d8\u3005\u306a\u89b3\u70b9\u304b\u3089\u8a55\u4fa1\u3057\u5206\u6790\u3059\u308b\u305f\u3081\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u304c\u5fc5\u8981\u3067\u3042\u308b\uff0e\u82f1\u8a9e\u306b\u304a\u3044\u3066\u306f\uff0cGLUE (Wang et al. 2018) \u304c\u5148\u99c6\u3051\u3068\u3057\u3066\u69cb\u7bc9\u3055\u308c\u3066\u304a\u308a\uff0c\u4e2d\u56fd\u8a9e\u7248\u306eCLUE (Xu et al. 2020) \u3084\u30d5\u30e9\u30f3\u30b9\u8a9e\u7248\u306eFLUE (Le et al. 2020) \u306a\u3069\uff0c\u5404\u8a00\u8a9e\u306b\u304a\u3051\u308b\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u69cb\u7bc9\u3082\u9032\u3093\u3067\u3044\u308b\u304c\uff0c\u65e5\u672c\u8a9e\u306b\u304a\u3044\u3066\u306f GLUE \u306e\u3088\u3046\u306a\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306f\u5b58\u5728\u305b\u305a\uff0c\u65e5\u672c\u8a9e\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3044\u3066\u5927\u304d\u306a\u554f\u984c\u3068\u306a\u3063\u3066\u3044\u308b\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0c\u4e00\u822c\u7684\u306a\u65e5\u672c\u8a9e\u8a00\u8a9e\u7406\u89e3\u80fd\u529b\u3092\u6e2c\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\uff0c\u7ffb\u8a33\u3092\u4ecb\u3059\u308b\u3053\u3068\u306a\u304f\uff0c\u65e5\u672c\u8a9e\u3067\u4e00\u304b\u3089\u8a00\u8a9e\u7406\u89e3\u30d9\u30f3\u30c1\u30de\u30fc\u30af JGLUE \u3092\u69cb\u7bc9\u3059\u308b\uff0eJGLUE \u306f\u6587\u7ae0\u5206\u985e\uff0c\u6587\u30da\u30a2\u5206\u985e\uff0cQA \u306e 3 \u7a2e\u985e\u306e\u30bf\u30b9\u30af\u304b\u3089\u69cb\u6210\u3055\u308c\u308b\uff0e\u672c\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306b\u3088\u3063\u3066\u65e5\u672c\u8a9e\u306b\u304a\u3051\u308b\u8a00\u8a9e\u7406\u89e3\u7814\u7a76\u304c\u6d3b\u6027\u5316\u3059\u308b\u3053\u3068\u3092\u671f\u5f85\u3059\u308b\uff0e<\/li>\n<li>Chenhui Chu, Zhuoyuan Mao, Toshiaki Nakazawa, Daisuke Kawahara, Sadao Kurohashi. SCTB-V2: the 2nd version of the Chinese treebank in the scientific domain. Language Resources and Evaluation, pp.1-15, 2022.10.<br \/>\n[Abstract]<br \/>\nWord segmentation, part-of-speech (POS) tagging, and syntactic parsing are three fundamental Chinese analysis tasks for Chinese language processing, which are also crucial for various downstream tasks such as machine translation and information extraction. To achieve high accuracy for these tasks, treebanks that contain sentences manually annotated with word segmentation, part-of-speech tags, and phrase structures are essential. Although there are large-scale Chinese treebanks in the news domain, such treebanks are unavailable in the scientific domain. This significantly limits the performance of Chinese language processing for scientific text. To address this problem, we annotate the 2nd version of the Chinese treebank in the scientific domain (SCTB-V2). SCTB-V2 contains 12,175 sentences annotated with word segmentation, part-of-speech tags, and phrase structures. We conducted Chinese analyses and machine translation experiments on SCTB-V2. The results show the effectiveness of SCTB-V2. We release this treebank to promote scientific Chinese language processing research http:\/\/nlp.ist.i.kyoto-u.ac.jp\/EN\/index.php?A%20Chinese%20Treebank%20 in%20Scientific%20Domain%20%28SCTB%29.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Ryoma Sakaeda, Daisuke Kawahara. Generate, Evaluate, and Select: A Dialogue System with a Response Evaluator for Diversity-Aware Response Generation. NAACL 2022 Student Research Workshop, pp.76-82, 2022.7.<\/li>\n<li>Tomohito Kasahara, Daisuke Kawahara, Nguyen Tung, Shengzhe Li, Kenta Shinzato, Toshinori Sato. Building a Personalized Dialogue System with Prompt-Tuning. NAACL 2022 Student Research Workshop, pp.96-105, 2022.7.<\/li>\n<li>Ritvik Choudhary, Daisuke Kawahara. Grounding in social media: An approach to building a chit-chat dialogue model. NAACL 2022 Student Research Workshop, pp.9-15, 2022.7.<\/li>\n<li>Kentaro Kurihara, Daisuke Kawahara, and Tomohide Shibata. JGLUE: Japanese General Language Understanding Evaluation. LREC 2022, pp.2957-2966, 2022.6.<\/li>\n<li>Tatsuya Ide and Daisuke Kawahara. Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions. ACL 2022 Student Research Workshop, pp.21-30, 2022.5.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic Technical Conference<\/strong>\n<ul>\n<li>\u6751\u7530\u6804\u6a39, \u4e95\u624b\u7adc\u4e5f, \u69ae\u7530\u4eae\u771f, \u6cb3\u539f\u5927\u8f14, \u5c71\u5d0e\u5929, \u674e\u8056\u54f2, \u65b0\u91cc\u9855\u5927, \u4f50\u85e4\u654f\u7d00. \u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306b\u3088\u3063\u3066\u69cb\u7bc9\u3055\u308c\u305f\u5e38\u8b58\u77e5\u8b58\u30b0\u30e9\u30d5\u306e\u62e1\u5927\u3068\u4f4e\u30b3\u30b9\u30c8\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.2123-2128, 2023.3.<\/li>\n<li>\u690d\u677e\u62d3\u4e5f, \u6cb3\u539f\u5927\u8f14. \u65e5\u672c\u8a9e\u306e\u5206\u985e\u30bf\u30b9\u30af\u306b\u304a\u3051\u308b\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u5b66\u7fd2\u3068\u30de\u30eb\u30c1\u30bf\u30b9\u30af\u5b66\u7fd2\u306e\u52b9\u679c\u691c\u8a3c. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, 2023.3. 10.<\/li>\n<li>\u5c0f\u6797\u4fca\u4ecb, \u6cb3\u539f\u5927\u8f14. \u8907\u6570\u6587\u66f8\u306e\u8aad\u89e3\u3092\u8981\u3059\u308b\u8cea\u554f\u306e\u81ea\u52d5\u751f\u6210\u3068\u8cea\u554f\u5fdc\u7b54\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u5fdc\u7528. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.2626-2621, 2023.3.<\/li>\n<li>\u7530\u6751\u7a14\u884c, \u6cb3\u539f\u5927\u8f14. \u4e8b\u524d\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u65e5\u672c\u8a9e\u5f62\u614b\u7d20\u89e3\u6790\u5668\u306b\u304a\u3051\u308b\u8f9e\u66f8\u306e\u5229\u7528. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.333-338, 2023.3.<\/li>\n<li>Ritvik Choudhary, \u6cb3\u539f\u5927\u8f14. \u9b45\u529b\u7684\u306a\u5bfe\u8a71\u5fdc\u7b54\u751f\u6210\u306e\u305f\u3081\u306e\u8907\u6570\u6559\u5e2b\u306b\u3088\u308b\u77e5\u8b58\u84b8\u7559. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.1388-1393, 2023.3.<\/li>\n<li>\u738b\u660a, \u6e05\u6c34\u535a\u6587, \u6cb3\u539f\u5927\u8f14. \u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u6f22\u6587\u306e\u8fd4\u308a\u70b9\u4ed8\u4e0e\u3068\u66f8\u304d\u4e0b\u3057\u6587\u751f\u6210. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.3031-3036, 2023.3.<\/li>\n<li>\u592a\u7530\u8056\u4e09\u90ce, \u6cb3\u539f\u5927\u8f14, \u91ce\u6751\u7406\u6717. \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5ddd\u67f3\u306e\u9762\u767d\u3055\u306e\u4e88\u6e2c. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.577-582, 2023.3.<\/li>\n<li>\u7b20\u539f\u667a\u4ec1, \u6cb3\u539f\u5927\u8f14, \u5c71\u5d0e\u5929, \u65b0\u91cc\u9855\u5927, \u4f50\u85e4\u654f\u7d00. Decoder\u30d9\u30fc\u30b9\u306e\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u30c6\u30ad\u30b9\u30c8\u751f\u6210\u306e\u81ea\u52d5\u8a55\u4fa1\u6307\u6a19. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.1940-1945, 2023.3.<\/li>\n<li>\u69ae\u7530\u4eae\u771f, \u4e95\u624b\u7adc\u4e5f, \u6751\u7530\u6804\u6a39, \u6cb3\u539f\u5927\u8f14. \u5bfe\u8a71\u884c\u70ba\u306e\u5206\u5e03\u3092\u5229\u7528\u3057\u305f\u96d1\u8ac7\u5bfe\u8a71\u30b7\u30b9\u30c6\u30e0\u306e\u8a55\u4fa1\u6307\u6a19. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.1653-1658, 2023.3.<\/li>\n<li>\u4eca\u4e95\u54b2\u826f, \u6cb3\u539f\u5927\u8f14, \u6298\u7530\u5948\u752b, \u5c0f\u7530\u535a\u5b97. \u7406\u8ad6\u8a00\u8a9e\u5b66\u306e\u77e5\u898b\u3092\u5fdc\u7528\u3057\u305f\u591a\u8a00\u8a9e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.1316-1321, 2023.3.<\/li>\n<li>\u5409\u7530\u3042\u3044\u308a, \u6cb3\u539f\u5927\u8f14. \u65e5\u672c\u8a9e WiC \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u69cb\u7bc9\u3068\u8aad\u307f\u3065\u3089\u3055\u691c\u51fa\u3078\u306e\u5fdc\u7528. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, 2023.3.<\/li>\n<li>\u4e95\u624b\u7adc\u4e5f, \u6751\u7530\u6804\u6a39, \u5800\u5c3e\u6d77\u6597, \u6cb3\u539f\u5927\u8f14, \u5c71\u5d0e\u5929, \u674e\u8056\u54f2, \u65b0\u91cc\u9855\u5927, \u4f50\u85e4\u654f\u7d00. \u4eba\u9593\u3068\u8a00\u8a9e\u30e2\u30c7\u30eb\u306b\u5bfe\u3059\u308b\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u7528\u3044\u305f\u30bc\u30ed\u304b\u3089\u306e\u30a4\u30d9\u30f3\u30c8\u5e38\u8b58\u77e5\u8b58\u30b0\u30e9\u30d5\u69cb\u7bc9. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.322-327, 2023.3.<\/li>\n<li>\u4e95\u624b\u7adc\u4e5f, \u69ae\u7530\u4eae\u771f, \u6cb3\u539f\u5927\u8f14, \u5c71\u5d0e\u5929, \u674e\u8056\u54f2, \u65b0\u91cc\u9855\u5927, \u4f50\u85e4\u654f\u7d00. \u5bfe\u8a71\u306b\u57fa\u3065\u304f\u5e38\u8b58\u77e5\u8b58\u30b0\u30e9\u30d5\u306e\u69cb\u7bc9\u3068\u5bfe\u8a71\u5fdc\u7b54\u751f\u6210\u306b\u5bfe\u3059\u308b\u9069\u7528. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.125-130, 2023.3.<\/li>\n<li>\u6817\u539f\u5065\u592a\u90ce, \u6cb3\u539f\u5927\u8f14, \u67f4\u7530\u77e5\u79c0. JCommonsenseQA 2.0: \u8a08\u7b97\u6a5f\u3068\u4eba\u306e\u5354\u50cd\u306b\u3088\u308b\u5e38\u8b58\u63a8\u8ad6\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6539\u826f. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a 2023.3.<\/li>\n<li>\u5150\u7389\u8cb4\u5fd7, \u690d\u7530\u66a2\u5927, \u5927\u6751\u548c\u6b63, \u6e05\u4e38\u5bdb\u4e00, \u6751\u8107\u6709\u543e, \u6cb3\u539f\u5927\u8f14, \u9ed2\u6a4b\u798e\u592b. \u30c6\u30ad\u30b9\u30c8\u751f\u6210\u30e2\u30c7\u30eb\u306b\u3088\u308b\u65e5\u672c\u8a9e\u5f62\u614b\u7d20\u89e3\u6790. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c29\u56de\u5e74\u6b21\u5927\u4f1a, pp.339-344, 2023.3.<\/li>\n<li>\u690d\u7530\u66a2\u5927, \u5927\u6751\u548c\u6b63, \u5150\u7389\u8cb4\u5fd7, \u6e05\u4e38\u5bdb\u4e00, \u6751\u8107\u6709\u543e, \u6cb3\u539f\u5927\u8f14, \u9ed2\u6a4b\u798e\u592b. KWJA\uff1a\u6c4e\u7528\u8a00\u8a9e\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u65e5\u672c\u8a9e\u89e3\u6790\u5668. \u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c253\u56de\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u7814\u7a76\u4f1a, 2022-NL-253(2), pp.1-14, 2022.9.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Shigekazu SAKAI --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000524_ja.html\">\u5d8b\u672c\u3000\u85ab \u6559\u6388 Shigeru SHIMAMOTO, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>\u9f4b\u85e4\u6075, \u4ef2\u6ca2\u96bc\u6597, \u30d1\u30f3\u30fb\u30b8\u30a7\u30cb\u30fc, \u5289\u6c5f, \u5d8b\u672c\u85ab , \u201cD2D\u901a\u4fe1\u3092\u7528\u3044\u305f\u96fb\u529b\u8cb8\u501f\u901a\u4fe1\u306b\u304a\u3051\u308b\u96fb\u529b \u8ca0\u62c5\u3092\u8003\u616e\u3057\u305f\u7aef\u672b\u9078\u629e\u624b\u6cd5\u306e\u7814\u7a76\u201d \u65e5\u672c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u5b66\u4f1a\u548c\u6587\u8ad6\u6587\u8a8c 14\u5dfb1\u53f7 pp. 54-70, 2022.<br \/>\n[Abstract] \u672c\u7814\u7a76\u3067\u306f\uff0c5G\u30fbBeyond5G\u306b\u304a\u3051\u308b\u300c\u96fb\u529b\u8cb8\u501f\u901a\u4fe1\u300d\u3092\u63d0\u6848\u3057\uff0c\u7aef\u672b\u306e\u96fb\u529b\u8ca0\u62c5\u306b\u8003\u616e\u3057\u305f\u6700\u9069\u7aef\u672b\u9078\u629e\u624b\u6cd5\u306e\u691c\u8a0e\u3092\u884c\u3046\uff0e\u30e2\u30d0\u30a4\u30eb\u901a\u4fe1\u5206\u91ce\u306e\u8ab2\u984c\u306e\uff11\u3064\u3068\u3057\u3066\u3001\u30e6\u30fc\u30b6\u76ee\u7dda\u304b\u3089\u898b\u305f\u969b\u306b\u30d0\u30c3\u30c6\u30ea\u306e\u6301\u3061\u306b\u5bfe\u3059\u308b\u4e0d\u6e80\u304c\u9ad8\u3044\u3053\u3068\u304c\u6319\u3052\u3089\u308c\u308b\uff0e\u305d\u3053\u3067\u672c\u7814\u7a76\u3067\u306f\u4f4e\u6d88\u8cbb\u96fb\u529b\u3067\u96fb\u529b\u52b9\u7387\u306e\u9ad8\u3044Device-to-Device\u901a\u4fe1\uff08D2D\u901a\u4fe1\uff09\u3092\u5229\u7528\u3057\u3066\u4ed6\u306e\u7aef\u672b\u304b\u3089\u4eee\u60f3\u7684\u306b\u30d0\u30c3\u30c6\u30ea\u30ea\u30bd\u30fc\u30b9\u3092\u501f\u308a\u3066\uff0c\u7aef\u672b\u99c6\u52d5\u6642\u9593\u3092\u5ef6\u3070\u3059\u3053\u3068\u3092\u76ee\u6307\u3059\uff0e\u672c\u7814\u7a76\u3067\u306f\u6700\u9069\u7aef\u672b\u9078\u629e\u624b\u6cd5\u3092\u691c\u8a0e\u3057\uff0c\u501f\u308a\u308b\u5074\u306e\u30d0\u30c3\u30c6\u30ea\u306e\u6e1b\u308a\u3092\u6291\u3048\u99c6\u52d5\u6642\u9593\u3092\u4f38\u3070\u3057\u3064\u3064\u3082\uff0c\u8cb8\u3059\u5074\u306b\u8cb8\u4e0e\u306e\u4e0a\u9650\u5024\u3092\u8a2d\u3051\u308b\u3053\u3068\u3067\u96fb\u529b\u8ca0\u62c5\u3092\u5c11\u306a\u304f\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u305f\u9078\u629e\u624b\u6cd5\u306e\u958b\u767a\u3092\u884c\u3063\u305f\uff0e\u307e\u305f\uff0c\u5b9f\u9a13\u306b\u3088\u308a\u6d88\u8cbb\u96fb\u529b\u3084\u30d0\u30c3\u30c6\u30ea\u306e\u6e1b\u308a\u65b9\u306b\u3064\u3044\u3066\u6e2c\u5b9a\u7d50\u679c\u3092\u7528\u3044\u3066\u5206\u6790\u3092\u884c\u306a\u3063\u305f\uff0e\u52a0\u3048\u3066\uff0c\u8cb8\u3059\u5074\u3068\u501f\u308a\u308b\u5074\u306e\u6d88\u8cbb\u96fb\u529b\u3068\u30d0\u30c3\u30c6\u30ea\u306e\u6e1b\u308a\u65b9\u306b\u3064\u3044\u3066\u3082\u5206\u6790\u3092\u884c\u3063\u305f\uff0e\u66f4\u306b\uff0c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u8a55\u4fa1\u306b\u3088\u308a\uff0c\u8cb8\u3059\u5074\u306e\u96fb\u529b\u8cb8\u4e0e\u306e\u4e0a\u9650\u5024\u306b\u3088\u3063\u3066\uff0c\u501f\u308a\u308b\u5074\u306e\u30d0\u30c3\u30c6\u30ea\u99c6\u52d5\u6642\u9593\u3084\u65b9\u5f0f\u306e\u516c\u5e73\u6027\u3078\u306e\u5f71\u97ff\u3092\u691c\u8a3c\u3057\u305f\uff0e<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>\u00a0Yuxuan Jin, Jiang Liu and Shigeru Shimamoto, &#8220;Non-invasive blood glucose estimation employing mid-infrared signal with machine learning models&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Megumi Saito, Liu Jiang, Zhenni Pan, and Shigeru Shimamoto, &#8220;Evaluation of D2D-based communication scheme for operator malfunction&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Suzumi Sato, Megumi Saito and Sigeru Shimamoto, &#8220;A Study on Stress Evaluation during Smartphone Use by Non-contact Measurement&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Huan Wang, Megumi SAITO and Shigeru Shimamoto, &#8220;Impact of On-street Parking on Traffic Operation Based on The Urban Road Network&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Toshihito Tatsuoka, Zhenni Pan and Shigeru Shimamoto, &#8220;Studies on Communications and Power Transmissions over Optical Fibers in Vehicles&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Wataru Tachikawa, KazutoshiYoshii and Shigeru Shimamoto, &#8220;Implementation of PDMA Scheme for Ground-HAPS Uplink Network with Hybrid FSO\/RF Links&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Junlong Wang, Zhenni Pan, Shigeru Shimamoto, &#8220;Performance Improments with Machine Learning on Orthoginal Time Frequency Space System and Application&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Zhenni Pan and Shigeru Shimamoto, &#8220;Energy Sustainability in Shape-adaptive Cellular Networks Employing IRS&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Yuao Ye, Jiang Liu, Wen Zhao, Peng Liu and Shigeru Shimamoto, \u201d Machine Learning based on Air-writing Recognition System,\u201d 2023 International Conference on Intelligent Control and Computing (IC&amp;C 2023), Paper ID: FE509,February 2023<\/li>\n<li>Megumi Saito, Zhenni Pan and Jiang Liu, and Shigeru Shimamoto, \u201cD2D Communication Based Salvage Transmission Scheme for Communication Disturbance in 5G Networks\u201d, IEEE Consumer Communications and Networking Conference 2023 (CCNC2023), Jan. 2023.<\/li>\n<li>Mika Kokuryo, Gentaro Konishi, Megumi Saito, and Shigeru Shimamoto, \u201cCharacteristics of Wireless Signal Propagation Inside Robotic Limbs employing Rotary Waveguide Joints\u201d, IEEE CCNC January 2023.<\/li>\n<li>Hinako Ochi, Jiang Liu and Shigeru Shimamoto, \u201cNon-contact Blood Pressure Prediction Employing Microwave Reflection based on Machine Learning\u201d, IEEE CCNC January 2023.<\/li>\n<li>Chiyako Hisanaga, Suzumi Sato, Hayato Nakazawa, Megumi Saito, Shigeru Shimaoto, \u201cThe Estimation of Stress on Smartphone Users\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Tatsuya Ueki, Kazutoshi Yoshii, Shigeru Shimamoto, \u201cAnti Spoofing Techniques of Vehicle Positioning System using V2V communications\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Chaoyi Yang\uff0cJunlong Wang, Zhenni Pan, Shigeru Shimamoto, \u201cResearh on superimposing pilot in OTFS\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Takuto Shimokawa, Zhenni Pan, Shigeru Shimamoto, \u201cV2V communication scheme for vehicles and platoon on highways applying FAWAC, diversity and SIC\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Mika Kokuryo\uff0cGen Konishi, Megumi Saito, Shigeru Shimamoto, \u201cWireless communication inside robots using standard waveguide structures\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto, \u201cIonospheric Fading Reduction Schemes for Long Distance HF Communication\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, \u201cStudies of Application of NOMA for ADS-B to Improve Spectral Efficiency for Future Air Traffic Scenarios\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Ji Li, Liu Jiang, Shigeru Shimamoto, \u201cSmart Glove based Real-time Recognition of Japanese Sign Language employing Machine Learning\u201d, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.<\/li>\n<li>Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, \u201cStudies of Application of NOMA for ADS-B to Improve Spectral Efficiency for Future Air Traffic Scenarios\u201d, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.<\/li>\n<li>Mika Kokuryo, Gen Konishi, Megumi Saito, Shigeru Shimamoto, \u201cWireless communication inside robotic structures using internal waveguides\u201d, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.<\/li>\n<li>Wataru Tachikawa, Kazutoshi Yoshii, Shigeru Shimamoto, \u201cPerformance Analysis of PDMA System for Ground-HAPS Network with Hybrid FSO\/RF Links\u201d, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.<\/li>\n<li>Megumi Saito, Zhenni Pan, Jiang Liu, and Shigeru Shimamoto, \u201cSalvage Transmission Scheme Using D2D Communication for Communication Failure in Cellular Networks\u201d, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.<\/li>\n<li>Chaoyi Yang, Junlong Wang, Zhenni Pan, Shigeru Shimamoto, \u201cDelay-Doppler Frequency Domain-Aided Superimposing Pilot OTFS Channel Estimation Based on Deep Learning\u201d, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.<\/li>\n<li>Takuto Shimokawa, Zhenni Pan, Shigeru Shimamoto, \u201cV2V communication using FAWAC, diversity, and SIC on highways in the presence of platoon\u201d, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.<\/li>\n<li>Yiding Li, Zhenni Pan, and Shigeru Shimamoto, \u201cJoint Active and Passive Beamforming Optimization in Self sustainable RIS aided NOMA networks\u201d, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.<\/li>\n<li>Jiang Liu, Yang Chen, Shigeru Shimamoto, \u201cNon-invasive Blood Glucose Measurement with Mid-infrared Signal by Machine Learning Schemes\u201d, IEEE Global Communications Conference (GLOBECOM), workshop on Edge-AI and IoT for Connected Health, (online) Dec. 2022.<\/li>\n<li>Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, \u201cPerformance Evaluation of Multiple Access Scheme Applying NOMA for ADS-B\u201d, IEEE Access, 2022 IEEE\/AIAA 41st Digital Avionics Systems Conference (DASC), 31 October 2022.<\/li>\n<li>Chaoyi Yang, Junlong Wang, Zhenni Pan, and Shigeru Shimamoto, \u201c Delay-Doppler Frequency Domain-Aided Superimposing Pilot OTFS Channel Estimation Based on Deep Learning\u201d, IEEE 96th Vehicular Technology Conference, September 2022.<\/li>\n<li>ToshihitoTatsuoka, Zhenni Pan, Shigeru Shimamoto, \u201cStudy on Optical Fiber Communication in Vehicle\u201d,The 2022 IEEE 96th Vehicular Technology Conference, September 2022.<\/li>\n<li>Mao Wang, Wataru Tachikawa, Kazutoshi Yoshii, Shigeru Shimamoto, \u201cNOMA based Terahertz Communication for High Altitude Platform System\u201d, 96th VTC 2022 fall, September 2022.<\/li>\n<li>Yiding Li, Zhenni Pan and Shigeru Shimamoto, \u201cMARL Based Cooperative Passive Beamforming Design for Multi-IRS Aided Networks,\u201d 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Kyoto, Japan, 2022, pp. 397-402.<\/li>\n<li>Tianshun Fang, Hao Xue, Zhenni Pan, Shigeru Shimamoto\u201cA Lightweight Network Slicing Scheme for 5G Coexistence Network in Multitenant and Services\u201d, International Symposium on Networks, Computers and Communications(ISNCC), July 2022.<\/li>\n<li>Gentaro Konishi, Megumi Saito, Shigeru Shimamoto, Shinji Horii, Seiichiro Murase, \u201cALOHA-SIC-based RFID System Assisted by the Internal Structure of Smart Refrigerators,\u201d in the 16th IEEE International Conference on RFID 2022 (IEEE RFID 2022), Las Vegas, NV, May, 2022.<\/li>\n<li>Junlong Wang, Chaoyi Yang, Zhenni Pan, Shigeru Shimamoto \u201cOptimization on OTFS Modulation Channel Estimation Path Employing CNN-based Self-Adjustment Model,\u201d 2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022, pp. 951-956.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u677e\u85e4 \u8b19\u592a, \u5289 \u8ed2\u5be7, \u5409\u4e95 \u4e00\u99ff, Pan Zhenni, \u9f4b\u85e4 \u6075, \u5289 \u6c5f, \u5d8b\u672c \u85ab, \u5927\u5009 \u62d3\u4e5f, \u4e09\u6d66 \u5468, \u8fbb \u5b8f\u4e4b, \u5409\u6751 \u76f4\u5b50, \u8c4a\u5d8b\u5b88\u751f, \u201c\u79fb\u52d5\u8eca\u4e21\u57fa\u5730\u5c40\u3068\u4fe1\u53f7\u6a5f\u57fa\u5730\u5c40\u306b\u3088\u308b\u4e2d\u7d99\u3092\u7528\u3044\u305f\u885b\u661f- \u5730\u4e0a\u9023\u643a\u30b7\u30b9\u30c6\u30e0\u201d, \u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a\uff08RCS\uff09, Mar. 2021<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u5927\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u7d30\u77e2\u6df3, \u5730\u57df\u672a\u6765\u727d\u5f15\u4f01\u696d\u306e\u90fd\u9053\u5e9c\u770c\u5225\u5b9a\u91cf\u6bd4\u8f03\u5206\u6790, \u7814\u7a76\u30fb\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u5b66\u4f1a\u3000\u7b2c\uff13\uff16\u56de\u5e74\u6b21\u5b66\u8853\u5927\u4f1a, 2021\u5e7410\u6708<\/li>\n<li>Changhao Liu, Jiang Liu, Shigeru Shimamoto, \u201cMachine Learning Based Sign Language Recognition System\u201d, IEICE General Conference, Sep. 2021<\/li>\n<li>\u6b66\u3000\u7950\u592a\u30fb\u5409\u4e95\u4e00\u99ff\u30fb\u5d8b\u672c\u3000\u85ab, \u300c\u30d5\u30a7\u30fc\u30ba\u30c9\u30a2\u30ec\u30a4\u30a2\u30f3\u30c6\u30ca\u3092\u7528\u3044\u305fUAV-WSN\u30b7\u30b9\u30c6\u30e0\u300d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a 2021\u5e74<\/li>\n<li>\u9577\u8c37\u5065\u4ecb, \u5d8b\u672c\u85ab, \u5289\u6c5f, \u201c\u8fd1\u8ddd\u96e2\u5834\u306b\u304a\u3051\u308b\u8d85\u2fb3\u6ce2\u7121\u7dda\u7d66\u96fb\u30b7\u30b9\u30c6\u30e0\u306e\u7d66\u96fb\u52b9\u7387\u6539\u5584\u306b\u95a2\u3059\u308b\u7814\u7a76\u201c, 2021 \u5e74\u96fb\u2f26\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u7dcf\u5408\u2f24\u4f1a,\u5b66\u2f63\u30dd\u30b9\u30bf\u30fc\u30bb\u30c3\u30b7\u30e7\u30f3<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8868\u5f70 Award<\/strong>\n<ul>\n<li>Megumi Saito (Presenter), Liu Jiang, Zhenni Pan, and Shigeru Shimamoto, &#8220;Evaluation of D2D-based communication scheme for operator malfunction&#8221;, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2023 Workshop, Feb. 2023.<\/li>\n<li>Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, \u201cPerformance Evaluation of Multiple Access Scheme Applying NOMA for ADS-B\u201d, IEEE Access, 2022 IEEE\/AIAA 41st Digital Avionics Systems Conference (DASC), 31 October 2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Academic Society Activity<\/strong>\n<ul>\n<li>\u5d8b\u672c\n<ul>\n<li>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u3000\u77e5\u8b58\u30d9\u30fc\u30b9\u59d4\u54e1\u4f1a\u3000\u5e79\u4e8b<\/li>\n<li>\u65e5\u672c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u5b66\u4f1a\u3000\u7406\u4e8b<\/li>\n<li>IEEE Communication Society ETC (Emerging Technology Committee) Voting member<\/li>\n<\/ul>\n<\/li>\n<li>\u30d1\u30f3\u30fb\u30b8\u30a7\u30cb\u30fc\n<ul>\n<li>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u3000\u60c5\u5831\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7814\u7a76\u4f1a(IN)\u3000\u5c02\u9580\u59d4\u54e1<\/li>\n<li>\u5bcc\u58eb\u6280\u8853\u51fa\u7248\u793e Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) \u7de8\u96c6\u59d4\u54e1<\/li>\n<\/ul>\n<\/li>\n<li>\u658e\u85e4\n<ul>\n<li>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u3000\u4f1a\u8a8c\u7de8\u96c6\u59d4\u54e1\uff08WG\u30fbE\uff09, \u9f4b\u7c50\u6075, 2021-2023<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Kana SHIMIZU --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000705_ja.html\">\u6e05\u6c34\u3000\u4f73\u5948 \u6559\u6388 Kana SHIMIZU, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Y Nakagawa, S Ohata, K Shimizu, &#8220;Efficient Privacy-Preserving Variable-Length Substring Match for Genome Sequence&#8221; (Extended version), Algorithms for Molecular Biology,17(1) 9-9.[Abstract]The development of a privacy-preserving technology is important for accelerating genome data sharing. This study proposes an algorithm that securely searches a variable-length substring match between a query and a database sequence. Our concept hinges on a technique that efficiently applies FM-index for a secret-sharing scheme. More precisely, we developed an algorithm that can achieve a secure table lookup in such a way that V[V[\u2026V[p0]\u2026]] is computed for a given depth of recursion where p0 is an initial position, and V is a vector. We used the secure table lookup for vectors created based on FM-index. The notable feature of the secure table lookup is that time, communication, and round complexities are not dependent on the table length N, after the query input. Therefore, a substring match by reference to the FM-index-based table can also be conducted independently against the database length, and the entire search time is dramatically improved compared to previous approaches. We conducted an experiment using a human genome sequence with the length of 10 million as the database and a query with the length of 100 and found that the query response time of our protocol was at least three orders of magnitude faster than a non-indexed database search protocol under the realistic computation\/network environment.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Yoshiki Nakagawa, Satsuya Ohata, Kana Shimizu, &#8220;Efficient Privacy-Preserving Variable-Length Substring Match for Genome Sequence. &#8221; 21st International Workshop on Algorithms in Bioinformatics(WABI) 2-23 2021\u5e74<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8868\u5f70 Award<\/strong>\n<ul>\n<li>\u9577\u8c37\u5ddd\u671b, \u6e05\u6c34\u4f73\u5948, 2021\u5e74\u65e5\u672c\u30d0\u30a4\u30aa\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u5b66\u4f1a\u5e74\u4f1a \u30fb\u7b2c10\u56de\u751f\u547d\u533b\u85ac\u60c5\u5831\u5b66\u9023\u5408\u5927\u4f1a\uff08IIBMP2021\uff09\u512a\u79c0\u30dd\u30b9\u30bf\u30fc\u8cde \uff08\u300c\u8272\u4ed8\u304dde Bruijn\u30b0\u30e9\u30d5\u306b\u57fa\u3065\u304f\u7d22\u5f15\u306e\u30cf\u30c3\u30b7\u30e5\u95a2\u6570\u3092\u7528\u3044\u305f\u7cbe\u5ea6\u5411\u4e0a\u3068\u30b5\u30a4\u30ba\u524a\u6e1b\u300d\uff09, 2021\u5e7410\u6708<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Academic Society Activity<\/strong>\n<ul>\n<li>\u7b2c10\u56de\u751f\u547d\u533b\u85ac\u60c5\u5831\u5b66\u9023\u5408\u5927\u4f1a, 2021\u5e749\u670827\u65e5\u22129\u670829\u65e5 2021, \u5b9f\u884c\u526f\u59d4\u54e1\u9577<\/li>\n<li>\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7b2c83\u56de\u5168\u56fd\u5927\u4f1a, \u30d7\u30ed\u30b0\u30e9\u30e0\u59d4\u54e1, 2021\u5e743\u670818\u65e5-3\u670820\u65e5<\/li>\n<li>\uff08JST\uff09\u3055\u304d\u304c\u3051\u300c\u793e\u4f1a\u5909\u9769\u306b\u5411\u3051\u305fICT\u57fa\u76e4\u5f37\u5316\u300d, \u9818\u57df\u30a2\u30c9\u30d0\u30a4\u30b6, 2021\u5e74\u5ea6-\u81f3\u73fe\u5728<\/li>\n<li>\uff08JST\uff09NBDC\u300c\u7d71\u5408\u5316\u63a8\u9032\u30d7\u30ed\u30b0\u30e9\u30e0\u300d, \u7814\u7a76\u30a2\u30c9\u30d0\u30a4\u30b6\u30fc, 2020\u5e747\u6708-\u81f3\u73fe\u5728<\/li>\n<li>\u6771\u4eac\u9ad8\u7b49\u88c1\u5224\u6240 \u5c02\u9580\u59d4\u54e1 2020\u5e74\u5ea6-\u81f3\u73fe\u5728<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Nozomu TOGAWA --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000154_ja.html\">\u6238\u5ddd\u3000\u671b \u6559\u6388 Nozomu TOGAWA, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Tatsuhiko Shirai and Nozomu Togawa, &#8220;Spin-variable reduction method for handling linear equality constraints in Ising machines,&#8221; IEEE Transactions on Computers, Early Access DOI: 10.1109\/TC.2023.3239539).<\/li>\n<li>Tatsuhiko Shirai and Nozomu Togawa, &#8220;Multi-spin-flip engineering in an Ising machine,&#8221; IEEE Trans. Computers, vol. 72, no. 3, pp. 759-771, 2023 (DOI: 10.1109\/TC.2022.3178325).<\/li>\n<li>Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, and Nozomu Togawa, &#8220;R-HTDetector: robust hardware-trojan detection based on adversarial training,&#8221; IEEE Trans. Computers, vol. 72, no. 2, pp. 333-345, 2023 (DOI: 10.1109\/TC.2022.3222090).<\/li>\n<li>Yuta Atobe, Masashi Tawada, and Nozomu Togawa, &#8220;Hybrid annealing method based on subQUBO model extraction with multiple solution instances,&#8221; IEEE Trans. Computers vol. 71, no. 10, pp. 2606-2619, 2022 (DOI: 10.1109\/TC.2021.3138629).<\/li>\n<li>Takuya Inoue, Yuya Seki, Shu Tanaka, Nozomu Togawa, Kenji Ishizaki, and Susumu Noda, &#8220;Towards optimization of photonic-crystal surface-emitting lasers via quantum annealing,&#8221; Optics Express, vol. 30, no. 24, pp. 43503-43512, 2022 (DOI: 10.1364\/OE.476839).<\/li>\n<li>Etsushi Saeki, Siya Bao, Toshinori Takayama, and Nozomu Togawa, &#8220;Multi-objective trip planning based on ant colony optimization utilizing trip records,&#8221; IEEE Access, vol. 10, pp. 127825-127844, 2022 (DOI: 10.1109\/ACCESS.2022.3227431).<\/li>\n<li>Tatsuki Kurihara and Nozomu Togawa, &#8220;Hardware-Trojan Detection based on the Structural Features of Trojan Circuits Using Random Forests,&#8221; IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E105-A, no. 7, pp. 1049-1060, 2022 (DOI: 10.1587\/transfun.2021EAP1091).<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u62db\u5f85\u8b1b\u6f14 Invited lecture<\/strong>\n<ul>\n<li>\u6238\u5ddd\u671b, \u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u3068\u306f\u4f55\u304b\uff1f\u30fc\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u306e\u73fe\u72b6\u3068\u305d\u306e\u691c\u77e5\u306e\u53ef\u80fd\u6027\u30fc, \u5b66\u632f\u7523\u5b66\u9023\u643a\u59d4\u54e1\u4f1aR031\u7814\u7a76\u4f1a, 2023\u5e743\u670814\u65e5\uff0e<\/li>\n<li>\u6238\u5ddd\u671b, \u91cf\u5b50\u8a08\u7b97\u6280\u8853\u3092\u6d3b\u7528\u3057\u305f\u793e\u4f1a\u5b9f\u88c5\u3068\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u57fa\u76e4, \uff08\u4e00\u793e\uff09\u79d1\u5b66\u6280\u8853\u3068\u7d4c\u6e08\u306e\u4f1a\u30fb\u7b2c7\u56de\u91cf\u5b50\u6280\u8853\u7814\u7a76\u4f1a, 2023\u5e742\u6708\uff0e<\/li>\n<li>\u6238\u5ddd\u671b, \u7530\u4e2d\u5b97, \u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u306e\u57fa\u790e\u3068\u793e\u4f1a\u5fdc\u7528, NICT Quantum Camp, 2022\u5e7412\u6708.<\/li>\n<li>\u6238\u5ddd\u671b, \u91cf\u5b50\u8a08\u7b97\u6280\u8853\u3092\u6d3b\u7528\u3057\u305f\u793e\u4f1a\u5b9f\u88c5\u306e\u4fc3\u9032, \u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u56fd\u969b\u7814\u4fee\u4ea4\u6d41\u5354\u4f1a\u30fb\u7b2c34\u56de\u56fd\u969b\u30bb\u30df\u30ca\u30fc, 2022\u5e7411\u6708\uff0e<\/li>\n<li>[\u7279\u5225\u8b1b\u6f14] \u6238\u5ddd\u671b, \u30b9\u30d1\u30a4\u30c1\u30c3\u30d7\u306f\u898b\u3064\u3051\u51fa\u305b\u308b\u304b\u2212\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u3068\u305d\u306e\u691c\u77e5\u6280\u8853\u2212, \u65e5\u672c\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30fb\u30de\u30cd\u30b8\u30e1\u30f3\u30c8\u5b66\u4f1a\u3000\u7b2c35\u56de\u5168\u56fd\u5927\u4f1a\u30d7\u30ed\u30b0\u30e9\u30e0, 2022\u5e749\u6708.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Soma Kawakami, Yosuke Mukasa, Siya Bao, Dema Ba, Junya Arai, Satoshi Yagi, Junji Teramoto, and Nozomu Togawa, &#8220;A Constrained Graph Coloring Solver Based on Ising Machines,&#8221; IEEE 41st International Conference on Consumer Electronics (ICCE-2023), 2023 (DOI: 10.1109\/ICCE56470.2023.10043534).<\/li>\n<li>Soma Kawakami, Kentaro Ohno, Dema Ba, Satoshi Yagi, Junji Teramoto, and Nozomu Togawa, &#8220;A Quasi-Initial Solution Giving Method for Ising Machines by Controlling External Magnetic Field Coefficients,&#8221; IEEE 41st International Conference on Consumer Electronics (ICCE-2023), 2023 (DOI: 10.1109\/ICCE56470.2023.10043398).<\/li>\n<li>Matthieu Parizy, Norihiro Kakuko, and Nozomu Togawa, &#8220;Fast Hyperparameter Tuning for Ising Machines,&#8221; IEEE 41st International Conference on Consumer Electronics (ICCE-2023), 2023 (DOI: 10.1109\/ICCE56470.2023.10043382).<\/li>\n<li>Dai Sato and Nozomu Togawa, &#8220;Fast and Accurate Smartglass Angles Inference Based on Periodic Behavior in Walking,&#8221; IEEE 41st International Conference on Consumer Electronics (ICCE-2023), 2023 (DOI: 10.1109\/ICCE56470.2023.10043532).<\/li>\n<li>Kota Hisafuru, Ryotaro Negishi, Soma Kawakami, Dai Sato, Kazuki Yamashita, Keisuke Fukada, and Nozomu Togawa, &#8220;Autonomous driving system with feature extraction using a binarized autoencoder,&#8221; International Conference on Field Programmable Technology (FPT 2022), 2022 (DOI: 10.1109\/ICFPT56656.2022.9974267).<\/li>\n<li>Matthieu Parizy, Przemyslaw Sadowski, and Nozomu Togawa, &#8220;Cardinality Constrained Portfolio Optimization on an Ising Machine,&#8221; IEEE International System-on-Chip Conference (SOCC), 2022 (DOI: 10.1109\/SOCC56010.2022.9908082).<\/li>\n<li>Ryotaro Negishi, Tatsuki Kurihara, and Nozomu Togawa, &#8220;Hardware-Trojan Detection at Gate-level Netlists using Gradient Boosting Decision Tree Models,&#8221; 13th IEEE International Conference on Consumer Technology Berlin (ICCE-Berlin 2022), 2022 (DOI: 10.1109\/ICCE-Berlin56473.2022.9937099).<\/li>\n<li>Kota Hisafuru, Kazunari Takasaki, and Nozomu Togawa, &#8220;An Anomalous Behavior Detection Method for IoT Devices Based on Power Waveform Shapes,&#8221; 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022 (DOI: 10.1109\/IOLTS56730.2022.9897477).<\/li>\n<li>Kazuki Yamashita, Tomohiro Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, and Nozomu Togawa, &#8220;Effective Hardware-Trojan Feature Extraction Against Adversarial Attacks at Gate-Level Netlists,&#8221; 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022 (DOI: 10.1109\/IOLTS56730.2022.9897557).<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u767a\u8868 International meeting<\/strong>\n<ul>\n<li>Yuta Yachi, Masashi Tawada, and Nozomu Togawa, &#8220;Coefficient Bit-Width Reduction for Ising Machines,&#8221; WIP Poster Session at ASP-DAC 2023, 2023.<\/li>\n<li>Keisuke Fukada and Nozomu Togawa, &#8220;Repeating Ising machines to solve combinatorial optimization problems,&#8221; WIP Poster Session at ASP-DAC 2023, 2023.<\/li>\n<li>Keisuke Fukada, Matthieu Parizy, Yoshinori Tomita, and Nozomu Togawa, &#8220;Benchmarking Various Types of Ising Machines,&#8221; Adiabatic Quantum Computing Conference 2022, 2022.<\/li>\n<li>Tatsuhiko Shirai and Nozomu Togawa, &#8220;Ising machine multi-spin flip method,&#8221; Adiabatic Quantum Computing Conference 2022, 2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u5bcc\u7530\u7a7a, \u5409\u6751\u53cb\u548c, \u767d\u4e95\u9054\u5f66, \u6238\u5ddd\u671b, &#8220;\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u3092\u7528\u3044\u305f\u8b1b\u5e2b\u5272\u5f53\u554f\u984c\u306e\u89e3\u6cd5,&#8221; \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u91cf\u5b50\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u7814\u7a76\u4f1a, 2023.<\/li>\n<li>\u5927\u91ce\u4e7e\u592a\u90ce, \u6238\u5ddd\u671b, &#8220;\u5909\u6570\u306e\u9806\u5e8f\u4ed8\u3051\u306b\u3088\u308b\u4e8c\u5024\u6700\u9069\u5316\u306e\u7dda\u5f62\u5316,&#8221; \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u91cf\u5b50\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u7814\u7a76\u4f1a, 2023.<\/li>\n<li>\u591a\u548c\u7530\u96c5\u5e2b, \u9f4b\u85e4\u548c\u5e83, \u5c71\u7530\u79c0\u662d, \u6238\u5ddd\u671b, &#8220;\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u306b\u3088\u308b\u52d5\u7684\u5468\u6ce2\u6570\u5272\u5f53\u306e\u305f\u3081\u306e\u591a\u76ee\u7684\u6700\u9069\u5316\u306e\u8a55\u4fa1,&#8221; \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u91cf\u5b50\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u7814\u7a76\u4f1a, 2023.<\/li>\n<li>\u91ce\u53e3\u7adc\u5f25, \u6df1\u7530\u4f73\u4f51, \u9b91\u601d\u96c5, \u6238\u5ddd\u671b, &#8220;\u90e8\u5206QUBO\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u306b\u3088\u308b\u8907\u6570\u65e5\u65c5\u7a0b\u6700\u9069\u5316\u554f\u984c\u306e\u89e3\u6cd5,&#8221; \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u9ad8\u5ea6\u4ea4\u901a\u30b7\u30b9\u30c6\u30e0\u3068\u30b9\u30de\u30fc\u30c8\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\uff08ITS\uff09\u7814\u7a76\u4f1a, 2023.<\/li>\n<li>\u9732\u5cf0\u7950\u8863, \u5897\u7530\u5065\u4e00, \u5317\u7530\u667a\u4e4b, \u516b\u5ddd\u525b\u5fd7, \u7fbd\u8cc0\u525b, \u8c37\u5730\u60a0\u592a, \u767d\u4e95\u9054\u5f66, \u591a\u548c\u7530\u96c5\u5e2b, \u6238\u5ddd\u671b, &#8220;\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u306b\u3088\u308b\u914d\u9001\u8a08\u753b\u306e\u6700\u9069\u5316\u2015\u53e4\u5178\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u8a08\u7b97\u7d50\u679c\u3068\u306e\u6bd4\u8f03,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, A-13-3, 2023.<\/li>\n<li>\u6c60\u4e0a\u88d5\u9999, \u5c71\u4e0b\u4e00\u6a39, \u9577\u8c37\u5ddd\u5065\u4eba, \u798f\u5cf6\u548c\u82f1, \u6e05\u672c\u664b\u4f5c, \u6238\u5ddd\u671b, &#8220;\u5b9f\u74b0\u5883\u56de\u8def\u306b\u633f\u5165\u3055\u308c\u305f\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u3092\u5bfe\u8c61\u3068\u3057\u305f\u30b0\u30e9\u30d5\u5b66\u7fd2\u306b\u3088\u308b\u30b2\u30fc\u30c8\u30ec\u30d9\u30eb\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u8b58\u5225,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 402, VLD2022-108, HWS2022-79, pp. 191-196, 2023\u5e743\u6708.<\/li>\n<li>\u6c5f\u7530\u7409\u8056, \u4e45\u53e4\u5e78\u6c70, \u6839\u5cb8\u826f\u592a\u90ce, \u6238\u5ddd\u671b, &#8220;LSTM\u3092\u7528\u3044\u305f\u5b9a\u5e38\u72b6\u614b\u3092\u542b\u3080\u6d88\u8cbb\u96fb\u529b\u6ce2\u5f62\u4e88\u6e2c\u306b\u57fa\u3065\u304fIoT\u30c7\u30d0\u30a4\u30b9\u7570\u5e38\u52d5\u4f5c\u691c\u77e5\u624b\u6cd5,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 402, VLD2022-112, HWS2022-83, pp. 215-220, 2023\u5e743\u6708.<\/li>\n<li>\u4e2d\u897f\u97ff, \u4e45\u53e4\u5e78\u6c70, \u6839\u5cb8\u826f\u592a\u90ce, \u6238\u5ddd\u671b, &#8220;\u6d88\u8cbb\u96fb\u529b\u6ce2\u5f62\u306e\u6975\u5024\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u6587\u6cd5\u7684\u63a8\u8ad6\u306b\u57fa\u3065\u304fIoT\u30c7\u30d0\u30a4\u30b9\u7570\u5e38\u52d5\u4f5c\u691c\u77e5\u624b\u6cd5,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 402, VLD2022-113, HWS2022-84, pp. 221-226, 2023\u5e743\u6708.<\/li>\n<li>\u77e2\u90e8\u62d3\u771f, \u4e45\u53e4\u5e78\u6c70, \u6839\u5cb8\u826f\u592a\u90ce, \u6238\u5ddd\u671b, &#8220;\u6d88\u8cbb\u96fb\u529b\u6ce2\u5f62\u30c7\u30fc\u30bf\u304b\u3089\u62bd\u51fa\u3057\u305f\u7279\u5fb4\u91cf\u7fa4\u306b\u5bfe\u3059\u308b\u4e3b\u6210\u5206\u5206\u6790\u306b\u57fa\u3065\u304fIoT\u30c7\u30d0\u30a4\u30b9\u7570\u5e38\u52d5\u4f5c\u691c\u77e5\u624b\u6cd5,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 402, VLD2022-114, HWS2022-85, pp. 227-232, 2023\u5e743\u6708.<\/li>\n<li>\u5409\u6751\u53cb\u548c, \u767d\u4e95\u9054\u5f66, \u591a\u548c\u7530\u96c5\u5e2b, \u6238\u5ddd\u671b, &#8220;\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb\u4fc2\u6570\u3078\u306e\u30ce\u30a4\u30ba\u4ed8\u4e0e\u306b\u3088\u308b\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u9ad8\u7cbe\u5ea6\u5316\u624b\u6cd5,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 283, VLD2022-34, ICD2022-51, DC2022-50, RECONF2022-57, pp. 87-92, 2022\u5e7411\u6708.<\/li>\n<li>\u5ddd\u4e0a\u84bc\u99ac, \u5df4\u5fb3\u746a, \u5927\u91ce\u4e7e\u592a\u90ce, \u516b\u6728\u54f2\u5fd7, \u5bfa\u672c\u7d14\u53f8, \u6238\u5ddd\u671b, &#8220;\u5916\u90e8\u78c1\u5834\u306e\u8abf\u6574\u306b\u3088\u308b\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u3078\u306e\u521d\u671f\u89e3\u64ec\u4f3c\u5c0e\u5165\u624b\u6cd5,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 283, VLD2022-35, ICD2022-52, DC2022-51, RECONF2022-58, pp. 93-98, 2022\u5e7411\u6708.<\/li>\n<li>\u6df1\u7530\u4f73\u4f51, \u30d1\u30ea\u30b8 \u30de\u30c1\u30e5\u30fc, \u5bcc\u7530\u61b2\u7bc4, \u6238\u5ddd\u671b, &#8220;\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u3092\u7e70\u308a\u8fd4\u3057\u7528\u3044\u308b\u30a4\u30c6\u30ec\u30fc\u30c6\u30a3\u30d6\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u624b\u6cd5\u3068\u7d44\u5408\u305b\u6700\u9069\u5316\u554f\u984c\u306e\u8a55\u4fa1,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 283, VLD2022-36, ICD2022-53, DC2022-52, RECONF2022-59, pp. 99-104, 2022\u5e7411\u6708.<\/li>\n<li>\u8c37\u5730\u60a0\u592a, \u591a\u548c\u7530\u96c5\u5e2b, \u6238\u5ddd\u671b, &#8220;\u57fa\u5e95\u72b6\u614b\u306e\u7834\u58ca\u3092\u691c\u51fa\u53ef\u80fd\u306a\u4fc2\u6570\u5206\u5272\u306b\u3088\u308b\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb\u306e\u30d3\u30c3\u30c8\u5e45\u524a\u6e1b,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 283, VLD2022-37, ICD2022-54, DC2022-53, RECONF2022-60, pp. 105-110, 2022\u5e7411\u6708.<\/li>\n<li>\u4e45\u53e4\u5e78\u6c70, \u6238\u5ddd\u671b, &#8220;\u6d88\u8cbb\u96fb\u529b\u6ce2\u5f62\u306e\u5f62\u72b6\u3092\u8003\u616e\u3057\u305fIoT\u30c7\u30d0\u30a4\u30b9\u7570\u5e38\u52d5\u4f5c\u691c\u77e5\u624b\u6cd5\u306eFPGA\u3078\u306e\u9069\u7528,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, vol. 122, no. 283, VLD2022-54, ICD2022-71, DC2022-70, RECONF2022-77, pp. 200-205, 2022\u5e7411\u6708.<\/li>\n<li>\u4e45\u53e4\u5e78\u6c70, \u6728\u7530\u826f\u4e00, \u91d1\u5b50\u535a\u4e00, \u6238\u5ddd\u671b, &#8220;\u5b9a\u5e38\u96fb\u529b\u6ce2\u5f62\u4e88\u6e2c\u306b\u57fa\u3065\u304f\u96fb\u529b\u89e3\u6790\u306b\u3088\u308bIoT\u30c7\u30d0\u30a4\u30b9\u7570\u5e38\u52d5\u4f5c\u691c\u77e5\u306e\u6bd4\u8f03\u30fb\u8a55\u4fa1,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2023\u5e74\u6697\u53f7\u3068\u60c5\u5831\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08SCIS-2023\uff09, 2023.<\/li>\n<li>\u5c71\u4e0b\u4e00\u6a39, \u9577\u8c37\u5ddd\u5065\u4eba, \u62ab\u7530\u91ce\u6e05\u826f, \u798f\u5cf6\u548c\u82f1, \u6238\u5ddd\u671b, &#8220;\u30c9\u30e1\u30a4\u30f3\u6c4e\u5316\u306b\u3088\u308a\u30e1\u30f3\u30d0\u30b7\u30c3\u30d7\u63a8\u8ad6\u653b\u6483\u306b\u8010\u6027\u3092\u6301\u3064\u30b0\u30e9\u30d5\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30b2\u30fc\u30c8\u30ec\u30d9\u30eb\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u8b58\u5225,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2023\u5e74\u6697\u53f7\u3068\u60c5\u5831\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08SCIS-2023\uff09, 2023.<\/li>\n<li>\u6839\u5cb8\u826f\u592a\u90ce, \u6238\u5ddd\u671b, &#8220;\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306b\u3088\u308b\u30cd\u30c3\u30c8\u30ea\u30b9\u30c8\u30ec\u30d9\u30eb\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u8b58\u5225\u306e\u8a55\u4fa1,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2023\u5e74\u6697\u53f7\u3068\u60c5\u5831\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08SCIS-2023\uff09, 2023.<\/li>\n<li>\u6df1\u7530\u4f73\u4f51, \u30d1\u30ea\u30b8\u30de\u30c1\u30e5\u30fc, \u5bcc\u7530\u61b2\u7bc4, \u6238\u5ddd\u671b, &#8220;\u5b9f\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u3092\u53cd\u5fa9\u7684\u306b\u7528\u3044\u308b\u30a4\u30c6\u30ec\u30fc\u30c6\u30a3\u30d6\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3068\u7d44\u5408\u305b\u6700\u9069\u5316\u554f\u984c\u306e\u8a55\u4fa1,&#8221; IEEE CASS JJC Young CAS Researchers Workshop, 2022.<\/li>\n<li>\u8c37\u5730\u60a0\u592a, \u591a\u548c\u7530\u96c5\u5e2b, \u6238\u5ddd\u671b, &#8220;\u57fa\u5e95\u72b6\u614b\u3092\u7dad\u6301\u53ef\u80fd\u306a\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb\u306e\u5206\u5272\u306b\u3088\u308b\u4fc2\u6570\u524a\u6e1b\u624b\u6cd5,&#8221; IEEE CASS JJC Young CAS Researchers Workshop, 2022.<\/li>\n<li>\u4e45\u53e4\u5e78\u6c70, \u6238\u5ddd\u671b, &#8220;FPGA\u306b\u5bfe\u3059\u308b\u6d88\u8cbb\u96fb\u529b\u6ce2\u5f62\u306e\u5f62\u72b6\u3092\u8003\u616e\u3057\u305fIoT\u30c7\u30d0\u30a4\u30b9\u7570\u5e38\u52d5\u4f5c\u691c\u77e5,&#8221; IEEE CASS JJC Young CAS Researchers Workshop, 2022.<\/li>\n<li>\u5409\u6751\u53cb\u548c, \u767d\u4e95\u9054\u5f66, \u591a\u548c\u7530\u96c5\u5e2b, \u6238\u5ddd\u671b, &#8220;\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb\u4fc2\u6570\u5909\u5f62\u306b\u3088\u308b\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u306e\u9ad8\u7cbe\u5ea6\u5316,&#8221; IEEE CASS JJC Young CAS Researchers Workshop, 2022.<\/li>\n<li>\u5ddd\u4e0a\u84bc\u99ac, \u5df4\u5fb3\u746a, \u5927\u91ce\u4e7e\u592a\u90ce, \u516b\u6728\u54f2\u5fd7, \u5bfa\u672c\u7d14\u53f8, \u6238\u5ddd\u671b, &#8220;\u5916\u90e8\u78c1\u5834\u306e\u8abf\u6574\u306b\u3088\u308b\u30a4\u30b8\u30f3\u30b0\u30de\u30b7\u30f3\u3078\u306e\u521d\u671f\u89e3\u306e\u8a2d\u5b9a,&#8221; IEEE CASS JJC Young CAS Researchers Workshop, 2022.<\/li>\n<li>\u8c37\u5730\u60a0\u592a, \u591a\u548c\u7530\u96c5\u5e2b, \u6238\u5ddd\u671b, &#8220;\u4fc2\u6570\u5206\u5272\u306b\u3088\u308b\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb\u306e\u30d3\u30c3\u30c8\u5e45\u524a\u6e1b\u306e\u691c\u8a0e,&#8221; \u60c5\u5831\u51e6\u7406\u5b66\u4f1aSLDM\u7814\u7a76\u4f1aSLDM WIP Forum 2022, 2022.<\/li>\n<li>\u4e45\u53e4\u5e78\u6c70, \u6238\u5ddd\u671b, &#8220;\u6d88\u8cbb\u96fb\u529b\u6ce2\u5f62\u306e\u5f62\u72b6\u3092\u8003\u616e\u3057\u305f IoT \u30c7\u30d0\u30a4\u30b9\u7570\u5e38\u52d5\u4f5c\u691c\u77e5\u624b\u6cd5\u306e\u8a55\u4fa1,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022, 2022.<\/li>\n<li>\u6839\u5cb8\u826f\u592a\u90ce, \u9577\u8c37\u5ddd\u5065\u4eba, \u798f\u5cf6\u548c\u82f1, \u6e05\u672c\u664b\u4f5c, \u6238\u5ddd\u671b, &#8220;\u5b9f\u74b0\u5883\u3092\u60f3\u5b9a\u3057\u305f\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u56de\u8def\u3092\u5bfe\u8c61\u3068\u3057\u305fXGBoost\u306b\u3088\u308b\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u8b58\u5225,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022, 2022.<\/li>\n<li>\u5c71\u4e0b\u4e00\u6a39, \u9577\u8c37\u5ddd\u5065\u4eba, \u62ab\u7530\u91ce\u6e05\u826f, \u798f\u5cf6\u548c\u82f1, \u6238\u5ddd\u671b, &#8220;\u30b0\u30e9\u30d5\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30b2\u30fc\u30c8\u30ec\u30d9\u30eb\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u8b58\u5225\u306b\u5bfe\u3059\u308b\u30e1\u30f3\u30d0\u30b7\u30c3\u30d7\u63a8\u8ad6\u653b\u6483,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022, 2022.<\/li>\n<li>\u5409\u6751\u53cb\u548c, \u767d\u4e95\u9054\u5f66, \u591a\u548c\u7530\u96c5\u5e2b, \u6238\u5ddd\u671b, &#8220;\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u5916\u90e8\u78c1\u5834\u4fc2\u6570\u3078\u306e\u4e71\u6570\u52a0\u7b97\u306b\u3088\u308b\u71b1\u6d74\u6cd5,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7b2c35\u56de\u56de\u8def\u3068\u30b7\u30b9\u30c6\u30e0\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u30d7\u30ed\u30b0\u30e9\u30e0, pp. 250-252, 2022.<\/li>\n<li>\u5c71\u4e0b\u4e00\u6a39, \u9577\u8c37\u5ddd\u5065\u4eba, \u62ab\u7530\u91ce\u6e05\u826f, \u798f\u5cf6\u548c\u82f1, \u6238\u5ddd\u671b, &#8220;GNNExplainer\u306b\u3088\u308b\u30b0\u30e9\u30d5\u5b66\u7fd2\u3092\u7528\u3044\u305f \u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c8\u30ed\u30a4\u8b58\u5225\u306e\u8a55\u4fa1,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7b2c35\u56de\u56de\u8def\u3068\u30b7\u30b9\u30c6\u30e0\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u30d7\u30ed\u30b0\u30e9\u30e0, pp. pp. 148 &#8211; 153, 2022.<\/li>\n<li>\u4f50\u4f2f\u8d8a\u5fd7, \u9b91\u601d\u96c5, \u9ad8\u5c71\u654f\u5178, \u6238\u5ddd\u671b, &#8220;ACO\u306b\u3088\u308b\u591a\u76ee\u7684\u8981\u6c42\u306b\u5bfe\u5fdc\u3057\u305f\u65c5\u884c\u8a08\u753b\u6700\u9069\u5316\u624b\u6cd5,&#8221; \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u3001\u5206\u6563\u3001\u5354\u8abf\u3068\u30e2\u30d0\u30a4\u30eb\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08DICOMO 2022\uff09, pp. 1556-1569, 2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5831\u9053\u767a\u8868 Press Release<\/strong>\n<ul>\n<li>\u5236\u7d04\u3092\u3082\u3064\u7d44\u5408\u305b\u6700\u9069\u5316\u554f\u984c\u3092\u30a4\u30b8\u30f3\u30b0\u8a08\u7b97\u6a5f\u3067\u52b9\u7387\u7684\u304b\u3064\u9ad8\u7cbe\u5ea6\u306b\u89e3\u304f\u305f\u3081\u306e\u65b0\u305f\u306a\u624b\u6cd5\u3092\u958b\u767a, https:\/\/www.waseda.jp\/top\/news\/87213, 2023.1.26.<\/li>\n<li>\u91cf\u5b50\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3092\u6d3b\u7528\u3057\u305f\u30d5\u30a9\u30c8\u30cb\u30c3\u30af\u7d50\u6676\u30ec\u30fc\u30b6\u30fc\u306e\u69cb\u9020\u6700\u9069\u5316\u306b\u6210\u529f, https:\/\/www.waseda.jp\/top\/news\/83121, 2022.9.9.<\/li>\n<li>\u30a4\u30b8\u30f3\u30b0\u8a08\u7b97\u6a5f\u3067\u7d44\u5408\u305b\u6700\u9069\u5316\u554f\u984c\u306e\u300c\u771f\u306e\u6700\u9069\u89e3\u300d\u3092\u9ad8\u7cbe\u5ea6\u306b\u63a2\u7d22, https:\/\/www.waseda.jp\/top\/news\/80999, 2022.5.30.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u53d7\u8cde Award<\/strong>\n<ul>\n<li>\u6238\u5ddd\u671b\u3001\u7dcf\u52d9\u7701SCOPE\u6210\u679c\u5c55\u958b\u63a8\u9032\u8cde\uff08IoT\u90e8\u54c1\u30fb\u6a5f\u5668\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u968e\u5c64\u6a2a\u65ad\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u6280\u8853\u306e\u7814\u7a76\u958b\u767a\uff09<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7279\u8a31 Patent<\/strong>\n<ul>\n<li>\u00a0(\u767b\u9332) \u5b66\u7fd2\u88c5\u7f6e\u3001\u5b66\u7fd2\u65b9\u6cd5\u53ca\u3073\u5b66\u7fd2\u30d7\u30ed\u30b0\u30e9\u30e0\u3001(\u767a\u660e\u8005) \u62ab\u7530\u91ce\u6e05\u826f\u3001\u6e05\u672c\u664b\u4f5c\u3001\u9577\u8c37\u5ddd\u5065\u4eba\u3001\u6238\u5ddd\u671b\u3001(\u7279\u8a31\u6a29\u8005) KDDI\u682a\u5f0f\u4f1a\u793e\u3001\u5b66\u6821\u6cd5\u4eba\u65e9\u7a32\u7530\u5927\u5b66\u3001\u7279\u8a31\u7b2c7223372\u53f7\u3001\u7279\u98582019-140107\u30012019\u5e747\u670830\u65e5\u51fa\u9858\u30012023\u5e742\u67088\u65e5\u767b\u9332\uff0e<\/li>\n<li>(\u51fa\u9858) \u8a08\u7b97\u65b9\u6cd5\u3001\u8a08\u7b97\u30b7\u30b9\u30c6\u30e0\u3001\u53ca\u3073\u30d7\u30ed\u30b0\u30e9\u30e0\u3001(\u767a\u660e\u8005) \u6238\u5ddd\u671b\u3001\u767d\u4e95\u9054\u5f66\u3001(\u7279\u8a31\u51fa\u9858\u4eba) \u5b66\u6821\u6cd5\u4eba\u65e9\u7a32\u7530\u5927\u5b66\u30012023\u5e7412\u670826\u65e5\u51fa\u9858\u3001\u7279\u98582022-207874\uff0e<\/li>\n<li>(\u51fa\u9858) \u914d\u9001\u8a08\u753b\u6c7a\u5b9a\u88c5\u7f6e\u3001\u914d\u9001\u8a08\u753b\u6c7a\u5b9a\u65b9\u6cd5\u3001\u304a\u3088\u3073\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d7\u30ed\u30b0\u30e9\u30e0\u3001(\u767a\u660e\u8005) \u9732\u5cf0\u7950\u8863\u3001\u516b\u5ddd\u525b\u5fd7\u3001\u5317\u7530\u667a\u4e4b\u3001\u5897\u7530\u5065\u4e00\u3001\u6238\u5ddd\u671b\u3001\u767d\u4e95\u9054\u5f66\u3001\u591a\u548c\u7530\u96c5\u5e2b\u3001\u8c37\u5730\u60a0\u592a(\u7279\u8a31\u51fa\u9858\u4eba) \u4f4f\u53cb\u96fb\u6c17\u5de5\u696d\u682a\u5f0f\u4f1a\u793e\u3001\u5b66\u6821\u6cd5\u4eba\u65e9\u7a32\u7530\u5927\u5b66\u30012022\u5e7412\u670826\u65e5\u51fa\u9858\u3001\u7279\u98582022-207861\uff0e<\/li>\n<li>(\u51fa\u9858) \u30a8\u30cd\u30eb\u30ae\u30fc\u95a2\u6570\u306e\u6700\u5c0f\u5024\u63a2\u7d22\u88c5\u7f6e\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u95a2\u6570\u306e\u6700\u5c0f\u5024\u63a2\u7d22\u65b9\u6cd5\u3001\u53ca\u3073\u30d7\u30ed\u30b0\u30e9\u30e0\u3001(\u767a\u660e\u8005) \u5927\u91ce\u4e7e\u592a\u90ce\u3001\u5bfa\u672c\u7d14\u53f8\u3001\u516b\u6728\u54f2\u5fd7\u3001\u5df4\u5fb3\u746a\u3001\u5ddd\u4e0a\u84bc\u99ac\u3001\u6238\u5ddd\u671b\u3001(\u7279\u8a31\u51fa\u9858\u4eba) \u65e5\u672c\u96fb\u4fe1\u96fb\u8a71\u682a\u5f0f\u4f1a\u793e\u3001\u5b66\u6821\u6cd5\u4eba\u65e9\u7a32\u7530\u5927\u5b66\u30012022\u5e744\u5e7411\u670817\u65e5\u3001\u7279\u98582022-183811\uff0e<\/li>\n<li>(\u51fa\u9858) \u8a08\u7b97\u65b9\u6cd5\u3001\u8a08\u7b97\u30b7\u30b9\u30c6\u30e0\u3001\u53ca\u3073\u30d7\u30ed\u30b0\u30e9\u30e0\u3001(\u767a\u660e\u8005) \u6238\u5ddd\u671b\u3001\u767d\u4e95\u9054\u5f66\u3001(\u7279\u8a31\u51fa\u9858\u4eba) \u5b66\u6821\u6cd5\u4eba\u65e9\u7a32\u7530\u5927\u5b66\u30012022\u5e748\u67085\u65e5\u51fa\u9858\u3001\u7279\u98582022-125720\uff0e<\/li>\n<li>(\u51fa\u9858) \u8a08\u7b97\u65b9\u6cd5\u3001\u8a08\u7b97\u30b7\u30b9\u30c6\u30e0\u3001\u53ca\u3073\u30d7\u30ed\u30b0\u30e9\u30e0\u3001(\u767a\u660e\u8005) \u6238\u5ddd\u671b\u3001\u767d\u4e95\u9054\u5f66\u3001(\u7279\u8a31\u51fa\u9858\u4eba) \u5b66\u6821\u6cd5\u4eba\u65e9\u7a32\u7530\u5927\u5b66\u30012022\u5e748\u67085\u65e5\u51fa\u9858\u3001\u7279\u98582022-125719\uff0e<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Academic Society Activity<\/strong>\n<ul>\n<li>\u7dcf\u52d9\u7701\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30bf\u30b9\u30af\u30d5\u30a9\u30fc\u30b9\u3001\u69cb\u6210\u54e1<\/li>\n<li>\u5185\u95a3\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30bb\u30f3\u30bf\u30fc\uff08NISC\uff09\u3001\u7814\u7a76\u958b\u767a\u6226\u7565\u5c02\u9580\u8abf\u67fb\u4f1a\u59d4\u54e1<\/li>\n<li>IEEE Circuit and Systems Society, Japan Joint Chapter, Chair<\/li>\n<li>\u56fd\u7acb\u7814\u7a76\u958b\u767a\u6cd5\u4eba\u65b0\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u7523\u696d\u6280\u8853\u7dcf\u5408\u958b\u767a\u6a5f\u69cb(NEDO) \u3001\u6280\u8853\u59d4\u54e1<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Hidenori NAKAZATO --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000470_ja.html\">\u4e2d\u91cc\u3000\u79c0\u5247 \u6559\u6388 Hidenori NAKAZATO, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Kenji Kanai, Toshitaka Tsuda, Hidenori Nakazato, and Jiro Katto. Information centric service mesh for autonomous in-network computing. In Proceedings of the 9th ACM Conference on Information-Centric Networking, ICN \u201922, pp. 159\u2013161, New York, NY, USA, 2022. Association for Computing Machinery.<br \/>\n[Abstract] In this paper, we introduce an information-centric service mesh for autonomous in-network computing. The information-centric service mesh offers service-centric networking, not connectivity-based networking provided by the current container orchestration, like Kubernetes (K8s). We implement the information-centric service mesh by adopting an ambassador container style and using Cefore and Cefpyco which is the CCNx software implementation developed by NICT in Japan. For the proof-of-concept test, we demonstrate the end-to-end delay of more complex service chain models (up to 17 nodes) on our K8s cluster.In this paper, we introduce an information-centric service mesh for autonomous in-network computing. The information-centric service mesh offers service-centric networking, not connectivity-based networking provided by the current container orchestration, like Kubernetes (K8s). We implement the information-centric service mesh by adopting an ambassador container style and using Cefore and Cefpyco which is the CCNx software implementation developed by NICT in Japan. For the proof-of-concept test, we demonstrate the end-to-end delay of more complex service chain models (up to 17 nodes) on our K8s cluster.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u9ec4\u82f1\u667a, \u91d1\u4e95\u8b19\u6cbb, \u4e2d\u91cc\u79c0\u5247. Hyperledger Fabric \u3092\u7528\u3044\u305f\u30b9\u30de\u30fc\u30c8\u30b7\u30c6\u30a3\u9593IoT\u30b5\u30fc\u30d3\u30b9\u9023\u643a\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u3068\u5b9f\u88c5. \u4fe1\u5b66\u6280\u5831vol. 122, no. 397, CS2022-92, pp. 113-118, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, 3 \u67082023.<br \/>\n[\u8981\u7d04] \u73fe\u72b6\u3001\u30b9\u30de\u30fc\u30c8\u30b7\u30c6\u30a3\u3067\u7ba1\u7406\u3055\u308c\u3066\u3044\u308bIoT \u30c7\u30d0\u30a4\u30b9\u306e\u591a\u304f\u306f\u96c6\u6a29\u578b\uff08\u30b5\u30a4\u30ed\u5316\uff09\u30b7\u30b9\u30c6\u30e0\u306b\u3088\u3063\u3066\u904b\u55b6\u3055\u308c\u3066\u304a\u308a\u3001\u305d\u306e\u591a\u304f\u304c\u7570\u306a\u308b\u30b7\u30b9\u30c6\u30e0\u9593\u306e\u9023\u643a\u3092\u8003\u616e\u3057\u305f\u8a2d\u8a08\u306b\u306f\u306a\u3063\u3066\u3044\u306a\u3044\u3002\u4e00\u65b9\u3067\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u30b9\u30de\u30fc\u30c8\u30b7\u30c6\u30a3\u306e\u5b9f\u73fe\u306b\u306f\u3001\u7570\u306a\u308b\u30b5\u30fc\u30d3\u30b9\u9593\u306e\u30c7\u30fc\u30bf\u9023\u643a\u306f\u91cd\u8981\u306a\u6a5f\u80fd\u8981\u4ef6\u3068\u3057\u3066\u6319\u3052\u3089\u308c\u3066\u3044\u308b\u3002\u3053\u306e\u8ab2\u984c\u89e3\u6c7a\u306e\u305f\u3081\u3001\u30d6\u30ed\u30c3\u30af\u30c1\u30a7\u30fc\u30f3\u306e\u9069\u7528\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u308b\u304c\u3001\u30d6\u30ed\u30c3\u30af\u30c1\u30a7\u30fc\u30f3\u3068IoT \u30b7\u30b9\u30c6\u30e0\u3092\u7d71\u5408\u3057\u3001IoT \u30b7\u30b9\u30c6\u30e0\u9023\u643a\u3092\u5b9f\u73fe\u3057\u305f\u4f8b\u306f\u307e\u3060\u5c11\u306a\u3044\u3002\u305d\u3053\u3067\u3001\u5c06\u6765\u7684\u306b\u5b9f\u969b\u306e\u307e\u3061\u3067IoT \u30b7\u30b9\u30c6\u30e0\u306e\u9023\u643a\u3092\u5b9f\u73fe\u3057\u3066\u3044\u304f\u3053\u3068\u3092\u8996\u91ce\u306b\u5165\u308c\u3001\u672c\u7a3f\u3067\u306f\u3001\u8a31\u53ef\u5236\u30d6\u30ed\u30c3\u30af\u30c1\u30a7\u30fc\u30f3\u3067\u3042\u308bHyperledger Fabric \u3092\u5229\u7528\u3057\u3066\u3001\u975e\u4e2d\u592e\u96c6\u6a29\u578bIoT \u30c7\u30fc\u30bf\u30fb\u30b5\u30fc\u30d3\u30b9\u9023\u643a\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u3068\u5b9f\u88c5\u306b\u3064\u3044\u3066\u8aac\u660e\u3059\u308b\u3002\u307e\u305f\u3001\u6982\u5ff5\u5b9f\u8a3c\u30c6\u30b9\u30c8\u3092\u901a\u3057\u3066\u3001\u63d0\u6848\u30b7\u30b9\u30c6\u30e0\u306e\u91cd\u8981\u306a\u7279\u5fb4\u3067\u3042\u308b\u3001\u76f8\u4e92\u904b\u7528\u6027\u3001\u30c8\u30ec\u30fc\u30b5\u30d3\u30ea\u30c6\u30a3\u306e\u53ef\u8996\u5316\u3068\u3044\u3063\u305f\u6a5f\u80fd\u306e\u6709\u52b9\u6027\u3092\u5831\u544a\u3059\u308b\u3002<\/li>\n<li>\u9f4b\u85e4\u79c0\u4e4b, \u5742\u6771\u6176\u7d00, \u91d1\u4e95\u8b19\u6cbb, \u4e2d\u91cc\u79c0\u5247. NDN \u30d5\u30a1\u30f3\u30af\u30b7\u30e7\u30f3\u30c1\u30a7\u30a4\u30f3\u306b\u3088\u308b\u60c5\u5831\u6307\u5411\u30b5\u30fc\u30d3\u30b9\u30e1\u30c3\u30b7\u30e5\u306e\u6027\u80fd\u8a55\u4fa1. \u4fe1\u5b66\u6280\u5831vol. 122, no. 397, CS2022-85, pp. 71-76, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, 3 \u67082023.<br \/>\n[\u8981\u7d04] \u672c\u7814\u7a76\u3067\u306f\uff0c\u5206\u6563\u578b\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u306e\u4e00\u3064\u3067\u3042\u308bWeb3 \u304c\u6ce8\u76ee\u3092\u96c6\u3081\u3066\u3044\u308b\u3053\u3068\u3092\u80cc\u666f\u306b\uff0c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5185\u3067\u30c7\u30fc\u30bf\u3092\u52b9\u7387\u7684\u306b\u51e6\u7406\u3059\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u5177\u4f53\u7684\u306b\u306f\uff0cNamed Data Networking\uff08NDN\uff09\u3092\u7528\u3044\u305f\u30d5\u30a1\u30f3\u30af\u30b7\u30e7\u30f3\u30c1\u30a7\u30a4\u30cb\u30f3\u30b0\u3092\u5229\u7528\u3057\u305f\u60c5\u5831\u6307\u5411\u30b5\u30fc\u30d3\u30b9\u30e1\u30c3\u30b7\u30e5\u306e\u63d0\u6848\u3068\u5b9f\u88c5\u3092\u884c\u3046\uff0e\u60c5\u5831\u6307\u5411\u30b5\u30fc\u30d3\u30b9\u30e1\u30c3\u30b7\u30e5\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u306b\u3088\u308a\uff0c\u901a\u4fe1\u90e8\u5206\u3068\u30c7\u30fc\u30bf\u51e6\u7406\u90e8\u5206\u3092\u5206\u96e2\u3059\u308b\u3053\u3068\u3067\uff0c\u30c7\u30fc\u30bf\u51e6\u7406\u90e8\u5206\u3092\u8ffd\u52a0\u30fb\u524a\u9664\u304c\u5bb9\u6613\u306b\u306a\u308a\uff0c\u67d4\u8edf\u306a\u62e1\u5f35\u6027\u3092\u6301\u3064\u3053\u3068\u304c\u671f\u5f85\u3067\u304d\u308b\uff0e\u8a55\u4fa1\u5b9f\u9a13\u3068\u3057\u3066\uff0c\u65e9\u7a32\u7530\u5927\u5b66\u306e\u7814\u7a76\u5ba4\u5185\u306bDocker \u3092\u5229\u7528\u3057\u305fNDN \u5b9f\u9a13\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u74b0\u5883\u3092\u69cb\u7bc9\u3057\uff0c\u753b\u50cf\u51e6\u7406\u3092\u5229\u7528\u3057\u305f\u60c5\u5831\u6307\u5411\u30b5\u30fc\u30d3\u30b9\u30e1\u30c3\u30b7\u30e5\u306e\u6027\u80fd\u3092\u8a55\u4fa1\u3059\u308b\uff0e<\/li>\n<li>\u5897\u7530\u7e41\u6643, \u4e2d\u91cc\u79c0\u5247. NDN \u306b\u3088\u308b\u30ad\u30e3\u30c3\u30b7\u30e5\u3092\u7528\u3044\u305fSFC \u306b\u304a\u3051\u308b\u30ad\u30e3\u30c3\u30b7\u30e5\u30ea\u30d7\u30ec\u30a4\u30b9\u30e1\u30f3\u30c8\u30dd\u30ea\u30b7\u30fc\u306e\u6539\u826f. \u4fe1\u5b66\u6280\u5831vol. 122, no. 397, CS2022-84, pp. 65-70, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, 3 \u67082023.<br \/>\n[\u8981\u7d04] ICN \u306e\u7814\u7a76\u306e1 \u3064\u3067\u3042\u308bNDN \u306b\u304a\u3044\u3066\uff0c\u30eb\u30fc\u30bf\u306e\u30ad\u30e3\u30c3\u30b7\u30e5\u6a5f\u80fd\u3092\u5b9f\u73fe\u3057\u3066\u3044\u308bContent Store (CS) \u306b\u304a\u3051\u308b\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u30ad\u30e3\u30c3\u30b7\u30e5\u7f6e\u63db\u65b9\u5f0f\u3067\u3042\u308bLRU \u306b\u30d5\u30a1\u30f3\u30af\u30b7\u30e7\u30f3\u9069\u7528\u6e08\u307f\u306eData \u30d1\u30b1\u30c3\u30c8\u304c\u512a\u5148\u7684\u306b\u6b8b\u308b\u3088\u3046\u306b\u6539\u826f\u3092\u52a0\u3048\u308b\u3053\u3068\u3067\uff0c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5168\u4f53\u306e\u30d5\u30a1\u30f3\u30af\u30b7\u30e7\u30f3\u306e\u547c\u3073\u51fa\u3057\u56de\u6570\u3068\u9045\u5ef6\u6642\u9593\u304c\u77ed\u304f\u306a\u308b\u304b\u3069\u3046\u304b\u3092\u691c\u8a3c\u3059\u308b\uff0e\u307e\u305f\uff0c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3044\u3066CS \u306e\u5bb9\u91cf\u3092\u5909\u5316\u3055\u305b\u308b\u3053\u3068\u3067\u6539\u826f\u306e\u52b9\u679c\u304c\u3069\u306e\u3088\u3046\u306b\u5909\u5316\u3059\u308b\u304b\u3092\u78ba\u304b\u3081\u308b\uff0e<\/li>\n<li>\u5927\u4e45\u4fdd\u7fd4\u5e73, \u4e2d\u91cc\u79c0\u5247. NDN \u306b\u304a\u3051\u308b\u30ad\u30e3\u30c3\u30b7\u30e5\u30ce\u30fc\u30c9\u3092\u7528\u3044\u305f\u30eb\u30fc\u30c1\u30f3\u30b0. \u4fe1\u5b66\u6280\u5831vol. 122, no. 110, CS2022-22, pp. 42-43, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, 7 \u67082022.<br \/>\n[\u8981\u7d04] \u672c\u8ad6\u6587\u3067\u306f\u3001Named Data Networking \u306b\u304a\u3044\u3066\u30ce\u30fc\u30c9\u3078\u306eID \u4ed8\u4e0e\u53ca\u3073\u30b3\u30f3\u30c6\u30f3\u30c4\u540d\u306e\u30cf\u30c3\u30b7\u30e5\u3068\u30ce\u30fc\u30c9ID \u306b\u57fa\u3065\u304f\u30ad\u30e3\u30c3\u30b7\u30e5\u30ce\u30fc\u30c9\u63a2\u7d22\u3001\u7d4c\u8def\u8a2d\u5b9a\u306e\u63d0\u6848\u3092\u884c\u3046\u3002\u63d0\u6848\u624b\u6cd5\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u306b\u3066\u5b9f\u88c5\u3057\u3001\u5e73\u5747\u30db\u30c3\u30d7\u6570\u304c\u5927\u304d\u3044\u5834\u5408\u306bData \u30d1\u30b1\u30c3\u30c8\u306e\u5e73\u5747\u30db\u30c3\u30d7\u6570\u304c\u901a\u5e38\u306eNDN \u3068\u6bd4\u8f03\u3057\u3066\u524a\u6e1b\u3055\u308c\u308b\u3053\u3068\u3092\u793a\u3059\u3002<\/li>\n<li>\u5927\u4e45\u4fdd\u7fd4\u5e73, \u4e2d\u91cc\u79c0\u5247. Ndn \u306b\u304a\u3051\u308b\u30de\u30eb\u30c1\u30ad\u30e3\u30b9\u30c8\u3068\u30ad\u30e3\u30c3\u30b7\u30e5\u30ce\u30fc\u30c9\u3092\u7528\u3044\u305f\u30eb\u30fc\u30c1\u30f3\u30b0. \u4fe1\u5b66\u6280\u5831vol. 122, no. 397, CS2022-91, pp. 107-112, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, 3 \u67082023.<br \/>\n[\u8981\u7d04] \u672c\u8ad6\u6587\u3067\u306f\uff0cNamed Data Networking (NDN) \u306b\u304a\u3051\u308b\u30b3\u30f3\u30c6\u30f3\u30c4\u53d6\u5f97\u306e\u52b9\u7387\u5316\u304a\u3088\u3073\u7d4c\u8def\u8868\u306e\u524a\u6e1b\u3092\u884c\u3046\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u63d0\u6848\u624b\u6cd5\u3067\u306f\u30b3\u30f3\u30c6\u30f3\u30c4\u53d6\u5f97\u3092\u52b9\u7387\u5316\u3059\u308b\u305f\u3081\u306b\u30cf\u30c3\u30b7\u30e5\u30eb\u30fc\u30c6\u30a3\u30f3\u30b0\u304a\u3088\u3073NDN \u306e\u3082\u3064\u30ad\u30e3\u30c3\u30b7\u30e5\u6a5f\u80fd\u3092\u6d3b\u7528\u3057\uff0c\u307e\u305f\u30cf\u30c3\u30b7\u30e5\u30eb\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3088\u308a\u7d4c\u8def\u8868\u306e\u524a\u6e1b\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u308b\uff0e\u63d0\u6848\u624b\u6cd5\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u306b\u3066\u5b9f\u88c5\u3057\uff0c\u6d41\u901a\u30b3\u30f3\u30c6\u30f3\u30c4\u6570\u306b\u5bfe\u3059\u308b\u30ce\u30fc\u30c9\u306e\u30ad\u30e3\u30c3\u30b7\u30e5\u30b5\u30a4\u30ba\u306e\u6bd4\u7387\u304c\u5927\u304d\u3044\u5834\u5408\u306bInterest \u30d1\u30b1\u30c3\u30c8\u3068Data \u30d1\u30b1\u30c3\u30c8\u306e\u5e73\u5747\u5408\u8a08\u30db\u30c3\u30d7\u6570\u304c\u901a\u5e38\u306eNDN \u3068\u6bd4\u8f03\u3057\u3066\u524a\u6e1b\u3055\u308c\uff0c\u30b3\u30f3\u30c6\u30f3\u30c4\u53d6\u5f97\u304c\u52b9\u7387\u5316\u3055\u308c\u308b\u3053\u3068\uff0c\u307e\u305f\u7d4c\u8def\u8868\u306e\u30a8\u30f3\u30c8\u30ea\u6570\u3092\u524a\u6e1b\u3057\u3066\u3082\u30b3\u30f3\u30c6\u30f3\u30c4\u53d6\u5f97\u7387\u306e\u4f4e\u4e0b\u304c\u306a\u3044\u3053\u3068\u304c\u793a\u3055\u308c\u305f\uff0e<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Academic Society Activity<\/strong>\n<ul>\n<li>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u60c5\u5831\u6307\u5411\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u6280\u8853\u7279\u5225\u7814\u7a76\u5c02\u9580\u59d4\u54e1\u4f1a \u59d4\u54e1\u9577, 2021-2022\u5e74\u5ea6.<\/li>\n<li>IEEE 8th World Forum on Internet of Things, Workshop Co-chair, October 26 \u2013 November 11 2022.<\/li>\n<li>2022 International Conference on Emerging Technologies for Communications, Local Arrangement Chair, November 29-December 1 2022. \uff11\uff13\uff0e<\/li>\n<li>ACM Conference on Information-Centric Networking (ICN 2022), Tutorial Co-chair, Sept. 19\u201321, 2022<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Tomoyuki MIYASHITA --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000612_ja.html\">\u5bae\u4e0b\u3000\u670b\u4e4b \u6559\u6388 Tomoyuki MIYASHITA, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Satou, Y., Furuya, H., Kaida, S., Miyashita, T.,Visco-Elasto-Plastic Behavior of Creased Space Membrane,2022,AIAA Journal,Vol. 60,No. 8, pp.4934-4942, 10.2514\/1.J060442.<br \/>\n[Abstract] \u4f4e\u525b\u6027\u306e\u69cb\u9020\u7269\u3068\u3057\u3066\u4ee3\u8868\u7684\u306a\u819c\u9762\u306b\u5bfe\u3057\u3066\u3001\u9577\u671f\u4fdd\u5b58\u306b\u304a\u3051\u308b\u5f62\u72b6\u6027\u72b6\u306e\u5f71\u97ff\u3092\u660e\u78ba\u306b\u3059\u308b\u305f\u3081\u306e\u89e3\u6790\u6cd5\u306e\u63d0\u6848\u3068\u5b9f\u9a13\u306b\u3088\u308b\u6574\u5408\u6027\u306e\u78ba\u8a8d\u3092\u5831\u544a\u3057\u305f\u3002<\/li>\n<li>Miura, S., Seki, M., Koreeda, Y., Cao, Y., Kawamura, K., Kobayashi, Y., Fujie, M.G., Miyashita, T., Virtual Shadow Drawing System Using Augmented Reality for Laparoscopic Surgery,2022,Advanced Biomedical Engineering, Vol.11,pp.87-97, 0.14326\/abe.11.87<br \/>\n[Abstract] \u9053\u5177\u306e\u64cd\u4f5c\u306b\u304a\u3044\u3066\u3001\u4eba\u5de5\u7684\u306b\u5f71\u3092\u63cf\u753b\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u9053\u5177\u306e\u64cd\u4f5c\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002<\/li>\n<li>\u4eca\u6751 \u601c, \u6c96\u6751 \u6cf0\u5f66, \u5fd7\u8302 \u5eb7\u5e73, \u7267\u91ce \u6cf0\u80b2, \u6a4b\u672c \u90a6\u5f18, \u52a0\u85e4 \u88d5\u4ecb, \u677e\u6d66 \u8aa0, \u524d\u7530 \u5b89\u90ed, \u5ca1\u6839 \u5229\u5149, \u5bae\u4e0b \u670b\u4e4b, \u5409\u7530 \u8aa0,\u751f\u578b\u306e\u6c34\u5206\u51dd\u7e2e\u5c64\u5727\u5bc6\u8a66\u9a13\u306b\u304a\u3051\u308b\u6c34\u5206\u5897\u52a0\u65b9\u6cd5\u306e\u9055\u3044\u306b\u3088\u308b\u5fdc\u529b\u2015\u3072\u305a\u307f\u95a2\u4fc2\u306e\u6bd4\u8f03 ,\u92f3\u9020\u5de5\u5b66 95 (1), 30-33, 2023-01-25<br \/>\n[Abstract] \u92f3\u9020\u4f5c\u696d\u306b\u304a\u3051\u308b\u7802\u578b\u306e\u6c34\u5206\u91cf\u306e\u76f8\u9055\u306e\u5f71\u97ff\u3092\u660e\u78ba\u306b\u3057\u305f\u3002<\/li>\n<li>\u4e2d\u6751 \u4f91\u672a, \u9ad8\u6728 \u5065\u8f14, \u5bfa\u5c71 \u6717, \u9803\u5b89 \u8c9e\u5229, \u5fd7\u8cc0 \u82f1\u4fca, \u795e\u6238 \u6d0b\u53f2, \u524d\u7530 \u5b89\u90ed, \u30e0\u30cf\u30de\u30c9 \u30cf\u30a4\u30ea \u30d5\u30a1\u30a4\u30ba, \u6c96\u6751 \u6cf0\u5f66, \u6c38\u7530 \u76ca\u5927, \u5ca1\u6839 \u5229\u5149, \u5bae\u4e0b \u670b\u4e4b, \u5409\u7530 \u8aa0,<br \/>\n[Abstract] \u30a2\u30eb\u30df\u30cb\u30a6\u30e0\u5408\u91d1\u6eb6\u6e6f\u3068\u30d5\u30e9\u30f3\u81ea\u786c\u6027\u7a4d\u5c64\u9020\u5f62\u92f3\u578b\u306e\u63a5\u89e6\u72b6\u614b\u306b\u3088\u3063\u3066\u5909\u5316\u3059\u308b\u71b1\u4f1d\u9054\u4fc2\u6570\u306e\u63a8\u5b9a,\u92f3\u9020\u5de5\u5b66 95 (4), 183-190, 2023-04-25 \u92f3\u9020\u4f5c\u696d\u306b\u304a\u3051\u308b\u6eb6\u6e6f\u306e\u51b7\u5374\u306b\u304a\u3051\u308b\u92f3\u578b\u3068\u306e\u63a5\u89e6\u72b6\u6cc1\u306e\u76f8\u9055\u306e\u5f71\u97ff\u3092\u660e\u78ba\u306b\u3057\u305f\u3002<\/li>\n<li>\u4eca\u6751 \u601c, \u6c96\u6751 \u6cf0\u5f66, \u5fd7\u8302 \u5eb7\u5e73, \u7267\u91ce \u6cf0\u80b2, \u6a4b\u672c \u90a6\u5f18, \u52a0\u85e4 \u88d5\u4ecb, \u677e\u6d66 \u8aa0, \u524d\u7530 \u5b89\u90ed, \u5ca1\u6839 \u5229\u5149, \u5bae\u4e0b \u670b\u4e4b, \u5409\u7530 \u8aa0,\u751f\u578b\u306e\u6c34\u5206\u51dd\u7e2e\u5c64\u5727\u5bc6\u8a66\u9a13\u306b\u304a\u3051\u308b\u6c34\u5206\u5897\u52a0\u65b9\u6cd5\u306e\u9055\u3044\u306b\u3088\u308b\u5fdc\u529b-\u3072\u305a\u307f\u95a2\u4fc2\u306e\u6bd4\u8f03,\u92f3\u9020\u5de5\u5b66 = Journal of Japan Foundry Engineering Society 95 (1), 30-33, 2023-01<br \/>\n[Abstract] \u92f3\u9020\u4f5c\u696d\u306b\u304a\u3051\u308b\u7802\u578b\u306e\u6c34\u5206\u91cf\u306e\u76f8\u9055\u306e\u5f71\u97ff\u3092\u660e\u78ba\u306b\u3057\u305f\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>Parque, V., Miyashita, T. Exploring Resource Distribution Networks in Virtual Environments 2022 Proceedings &#8211; 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022,pp.203-206 10.1109\/AIVR56993.2022.00040<\/li>\n<li>Parque, V., Miyashita, T. On Path Regression with Extreme Learning and the Linear Configuration Space 2022 Proceedings &#8211; 2022 6th IEEE International Conference on Robotic Computing, IRC 2022,pp.383-390 10.1109\/IRC55401.2022.00074<\/li>\n<li>Yamazaki, T., Shimizu, S., Mazaki, R., Kurihara, H., Motoi, N., Oboe, R., Hasebe, N., Miyashita, T. 2-DOF Haptic Feedback Control Stick for Remote Rover Navigation 2022 IECON Proceedings (Industrial Electronics Conference) 2022-October,10.1109\/IECON49645.2022.9968486<\/li>\n<li>Mohamed Abdo, M.M., Fanni, M., Miyashita, T., Ahmed, S.M.,The Effect of Coil Geometry and Winding Method on the Electromagnetic Launcher Performance,2022,IECON Proceedings (Industrial Electronics Conference) 2022-October,10.1109\/IECON49645.2022.9968763<\/li>\n<li>Parque, V., Miyashita, T. ON SPIRAL FOLDING OF PLANAR MEMBRANES WITH FINITE THICKNESS AND CURVED CREASES,2022 Proceedings of the ASME Design Engineering Technical Conference,3-B,V03BT03A016,10.1115\/DETC2022-90145<\/li>\n<li>Akimoto, M., Yoshida, M., Miyashita, T.,Design Optimization of power module structure for inductance reduction,2022,2022 International Conference on Electronics Packaging, ICEP 2022 pp. 153-154,10.23919\/ICEP55381.2022.9795596<\/li>\n<li>Igarashi, H., Hirota, M., Yoshida, M., Miyashita, T.,Design Optimization of Fin Shape of Heat Sinks for Enhanced Cooling Performance,2022,2022 International Conference on Electronics Packaging, ICEP 2022, pp. 105-106 10.23919\/ICEP55381.2022.9795403<\/li>\n<li>Nakamura, A., Yoshida, M., Miyashita, T.,Multi-Objective Design Optimization of Power Module Performances,2022, 2022 International Conference on Electronics Packaging, ICEP 2022, pp. 157-158,10.23919\/ICEP55381.2022.9795531<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u771e\ufa11 \u9678\u592a, \u6e05\u6c34 \u5275\u592a, \u5c71\u5d0e \u502b\u7fa9, \u5ee3\u702c \u5143\u8f1d, Roberto Oboe, Razvan Andrei Budau Petrea, \u5143\u4e95 \u76f4\u6a39, \u9577\u8c37\u90e8 \u4fe1\u884c, \u5bae\u4e0b \u670b\u4e4b,\u30d0\u30a4\u30e9\u30c6\u30e9\u30eb\u5236\u5fa1\u6642\u306e\u5fa9\u5143\u529b\u3092\u6d3b\u304b\u3057\u305f\u30ed\u30fc\u30d0\u30fc\u306e\u9060\u9694\u64cd\u7e26\u624b\u6cd5, \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599. IIC \/ \u96fb\u6c17\u5b66\u4f1a\u7523\u696d\u8a08\u6e2c\u5236\u5fa1\u7814\u7a76\u4f1a [\u7de8] 2022 (14-29\u30fb31\u30fb33-39), 31-34, 2022-12-01<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u5927\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u77f3\u6751, \u5eb7\u751f, \u6cb3\u91ce, \u592a\u90ce, \u5bae\u4e0b, \u670b\u4e4b, \u9ce5\u962a, \u7dbe\u5b50, \u7530\u4e2d, \u5b8f\u660e, \u5c0f\u6728\u66fd, \u671b, \u5b89\u7530, \u512a\u4e5f, \u585a\u91ce, \u9054\u6a39, \u83ca\u8c37, \u51ac\u99ac, \u5bfa\u7530, \u601c\u592e, \u98a8\u9593, \u96bc\u592a\u90ce, \u4e8c\u5742, \u5320, \u571f\u5c45, \u660e\u5e83, \u5c71\u8c37, \u660c\u5927, \u4e2d\u5c3e, \u9054\u90ce, \u798f\u5bb6, \u82f1\u4e4b, \u6c34\u6751, \u597d\u8cb4, \u5b9a\u6751, \u5d50, \u9ad8\u7cbe\u5ea6\u5909\u4f4d\u8a08\u6e2c\u88c5\u7f6e\u306e\u5b9f\u8a3c\u7d50\u679c\u3068\u5c55\u671b 2022\u5e74\u5ea6, \u5927\u6c17\u7403\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0: 2022\u5e74\u5ea6 = Balloon Symposium: 2022 2022-11<\/li>\n<li>\u6c38\u7530 \u76ca\u5927, \u6797 \u61b2\u53f8, \u795e\u6238 \u6d0b\u53f2, \u5bae\u4e0b \u670b\u4e4b, \u5409\u7530 \u8aa0,FEM\u6d41\u52d5\u51dd\u56fa\u30fb\u71b1\u5fdc\u529b\u9023\u6210\u89e3\u6790\u3092\u7528\u3044\u305fAl-4.5Mg-1.0Mn\u7cfb\u5408\u91d1\u88fd\u30ed\u30a2\u30ea\u30f3\u30af\u30c0\u30a4\u30ab\u30b9\u30c8\u306e\u51dd\u56fa\u5272\u308c\u4e88\u6e2c,\u92f3\u9020\u5de5\u5b66 \u5168\u56fd\u8b1b\u6f14\u5927\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 179 (0), 15-15, 2022<\/li>\n<li>\u4e2d\u6751 \u4f91\u672a, \u9ad8\u6728 \u5065\u8f14, \u5bfa\u5c71 \u6717, \u9803\u5b89 \u8c9e\u5229, \u5fd7\u8cc0 \u79c0\u4fca, \u795e\u6238 \u6d0b\u53f2, \u524d\u7530 \u5b89\u90ed, \u30e0\u30cf\u30de\u30c9\u30cf\u30a4\u30ea\u30d5\u30a1\u30a4\u30ba, \u6c96\u6751 \u6cf0\u5f66, \u6c38\u7530 \u76ca\u5927, \u5bae\u4e0b \u670b\u4e4b, \u5ca1\u6839 \u5229\u5149, \u5409\u7530 \u8aa0,\u7a4d\u5c64\u92f3\u578b\u3068\u30a2\u30eb\u30df\u30cb\u30a6\u30e0\u5408\u91d1\u6eb6\u6e6f\u306e\u9593\u306e\u71b1\u4f1d\u9054\u4fc2\u6570\u7b97\u51fa\u65b9\u6cd5\u3068\u305d\u306e\u8ab2\u984c, \u92f3\u9020\u5de5\u5b66 \u5168\u56fd\u8b1b\u6f14\u5927\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 180 (0), 110-110, 2022<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7279\u8a31 Patent<\/strong>\n<ul>\n<li>\u7279\u98582023- 67420\uff1a\u5bae\u4e0b\u670b\u4e4b\u3001\u5409\u7530\u8aa0\u3001\u5c0f\u5ca9\u4e95\u4fee\u4e8c,\u92f3\u9020\u65b9\u6848\u306e\u89e3\u6790\u65b9\u6cd5\u304a\u3088\u3073\u89e3\u6790\u88c5\u7f6e\u3001\u306a\u3089\u3073\u306b\u3001\u5f53\u8a72\u89e3\u6790\u65b9\u6cd5\u3092\u7528\u3044\u305f\u30d6\u30ed\u30b0\u30e9\u30e0\u3001\u92f3\u9020\u65b9\u6cd5\u304a\u3088\u3073\u92f3\u7269,2022\u5e744\u6708.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Tatsuya MORI --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001190_ja.html\">\u68ee\u3000\u9054\u54c9 \u6559\u6388 Tatsuya MORI, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Ayako A. Hasegawa, Naomi Yamashita, Mitsuaki Akiyama, and Tatsuya Mori. \u201cExperiences, Behavioral Tendencies, and Concerns of Non-Native English Speakers in Identifying Phishing Emails,\u201d In Journal of Information Processing (JIP), Vol.30, pages 841-858. 2022.<\/li>\n<li>Tianying Xie, Hayato Yamana, and Tatsuya Mori, \u201cCHE: Channel-wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network,\u201d IEEE ACCESS, Volume: 10, pp. 107446\u2013107458, September 2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>\u00a0M. Yajima, D. Chiba, Y. Yoneya, T. Mori, \u201cA First Look at Brand Indicators for Message Identification (BIMI),\u201d Proceedings of the Passive and Active Measurement Conference 2023 (PAM 2023), Mar 2023<\/li>\n<li>Kazuki Nomoto, Takuya Watanabe, Eitaro Shioji, Mitsuaki Akiyama, Tatsuya Mori, \u201cBrowser Permission Mechanisms Demystified\u201d The Network and Distributed System Security Symposium (NDSS 2023), February 2023<\/li>\n<li>Atsuko Natatsuka, Ryo Iijima, Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, Tatsuya Mori, \u201cUnderstanding the Behavior Transparency of Voice Assistant Applications Using the ChatterBox Framework,\u201d Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2022), October 2022<\/li>\n<li>Kazuki Nomoto , Mitsuaki Akiyama, Masashi Eto, Atsuo Inomata, and Tatsuya Mori, \u201cOn the Feasibility of Linking Attack to Google\/Apple Exposure Notification Framework,\u201d Proceedings of the 22nd Privacy Enhancing Technologies Symposium (PETS 2022), July 2022<\/li>\n<li>Ayako A. Hasegawa, Naomi Yamashita, Tatsuya Mori, Daisuke Inoue, Mitsuaki Akiyama, \u201cUnderstanding Non-Experts\u2019 Security- and Privacy-Related Questions on a Q&amp;A Site,\u201d Proceedings of the Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022), August 2022 &#8211; Kentaro Sako, Shin\u2019ichiro Matsuo, Tatsuya Mori, \u201cDistributed Random Number Generation Method on Smart Contracts,\u201d Proceedings of the 4th Blockchain and Internet of Things Conference (BIOTC 2022) July 2022<\/li>\n<li>Ryo Iijima, Tatsuya Takehisa and Tatsuya Mori, \u201cCyber-Physical Firewall: Monitoring and Controlling the Threats Caused by Malicious Analog Signals,\u201d Proceedings of the 19th ACM International Conference on Computing Frontiers (CF\u201922), pp. 296-304, Turin, Piedmont, Italy, May 2022.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u5357\u6fa4\u52c7\u592a\uff0c\u5c0f\u6797\u7adc\u4e4b\u8f14\uff0c\u68ee\u9054\u54c9\uff0c\u201dLiDAR \u3078\u306e\u653b\u6483\u306b\u5bfe\u3059\u308b\u81ea\u5df1\u4f4d\u7f6e\u63a8\u5b9a\u6a5f\u80fd\u306e\u9811\u5065\u6027\u8a55\u4fa1\u201c\uff0c\u7814\u7a76\u5831\u544a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3 (CSEC) 2023 (63), pp. 1-8\uff0c2023\u5e74<\/li>\n<li>\u9234\u6728\u82bd\u4f9d\uff0c\u98ef\u5cf6\u6dbc\uff0c\u91ce\u672c\u4e00\u8f1d\uff0c\u5927\u6728\u54f2\u53f2\uff0c\u68ee\u9054\u54c9\uff0c\u201dVR\u30c7\u30d0\u30a4\u30b9\u5411\u3051\u30cf\u30f3\u30c9\u30b8\u30a7\u30b9\u30c1\u30e3\u8a8d\u8a3c\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u201c\uff0c\u4fe1\u5b66\u6280\u5831, vol. 122, no. 422, ICSS2022-48, pp. 1-6\uff0c2023\u5e743\u6708.<\/li>\n<li>\u6e21\u90e8\u6643\u4e45\uff0c\u98ef\u5cf6\u6dbc\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u624b\u9996\u306e\u8868\u9762\u7b4b\u96fb\u4f4d\u3092\u7528\u3044\u305f\u30b9\u30de\u30fc\u30c8\u30a6\u30a9\u30c3\u30c1\u5411\u3051\u30b8\u30a7\u30b9\u30c1\u30e3\u8a8d\u8a3c\u65b9\u5f0f\u201c\uff0c\u4fe1\u5b66\u6280\u5831, vol. 122, no. 422, ICSS2022-50, pp. 13-18\uff0c2023\u5e743\u6708.<\/li>\n<li>\u91ce\u672c\u4e00\u8f1d\uff0c\u68ee\u9054\u54c9\uff0c\u201dFonty : \u30c6\u30ad\u30b9\u30c8\u306e\u30b3\u30d4\u30fc\u3092\u9632\u6b62\u3059\u308b\u6587\u5b57\u4ea4\u63db\u65b9\u5f0f\u306e\u63d0\u6848\u3068\u8a55\u4fa1\u201c\uff0c\u4fe1\u5b66\u6280\u5831, vol. 122, no. 422, ICSS2022-61, pp. 79-84\uff0c2023\u5e743\u6708.<\/li>\n<li>\u9ad9\u702c\u7531\u68a8\uff0c\u91ce\u672c\u4e00\u8f1d\uff0c\u98ef\u5cf6\u6dbc\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u30ea\u30ba\u30e0\u611f\u306e\u9055\u3044\u3092\u5229\u7528\u3057\u305f\u500b\u4eba\u8a8d\u8a3c\u65b9\u5f0f\u306e\u958b\u767a\u3068\u8a55\u4fa1\u201c\uff0c\u7814\u7a76\u5831\u544a\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u5fc3\u7406\u5b66\u3068\u30c8\u30e9\u30b9\u30c8\uff08SPT\uff09, 2023-SPT-50(33), pp. 1-8\uff0c2023\u5e743\u6708.<\/li>\n<li>\u5927\u5c71\u7a42\u9ad8\uff0c\u98ef\u5cf6\u6dbc\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u30de\u30ac\u30a4\u30ce\u30af\u30e9\u30b7\u30d5\u30a1\u30a4\u30a2: \u81ea\u5f8b\u98db\u884c\u578b\u30c9\u30ed\u30fc\u30f3\u3092\u6a19\u7684\u3068\u3057\u305f\u6295\u5f71\u653b\u6483\u306e\u5bfe\u7b56\u201c\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2022 \u8ad6\u6587\u96c6, pp. 400-407\uff0c2022\u5e74 (CSS2022 \u5b66\u751f\u8ad6\u6587\u8cde)<\/li>\n<li>\u9ad9\u702c\u7531\u68a8\uff0c\u91ce\u672c\u4e00\u8f1d\uff0c\u98ef\u5cf6\u6dbc\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u30ea\u30ba\u30e0\u30bf\u30c3\u30d7: \u8996\u899a\u969c\u5bb3\u8005\u3068\u5065\u5e38\u8005\u306e\u3069\u3061\u3089\u306b\u3082\u4f7f\u3044\u3084\u3059\u3044\u8a8d\u8a3c\u6280\u8853\u306e\u63d0\u6848\u3068\u8a55\u4fa1\u201c\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2022 \u8ad6\u6587\u96c6, pp. 659-666\uff0c2022\u5e74<\/li>\n<li>\u68ee\u5553\u83ef\uff0c\u9ad8\u7530\u96c4\u592a\uff0c\u6c38\u4e95\u9054\u4e5f\uff0c\u795e\u8597\u96c5\u7d00\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u30b0\u30eb\u30fc\u30d7\u4f01\u696d\u306b\u304a\u3051\u308b\u30d7\u30e9\u30a4\u30d0\u30b7\u30dd\u30ea\u30b7\u30fc\u306b\u3088\u308b\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u30ac\u30d0\u30ca\u30f3\u30b9\u306e\u5b9f\u614b\u8abf\u67fb\u201c\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2022 \u8ad6\u6587\u96c6, pp. 1208-1215\uff0c2022\u5e74<\/li>\n<li>\u5229\u5ddd\u60a0\u6597\uff0c\u98ef\u5cf6\u6dbc\uff0c\u68ee\u9054\u54c9\uff0c\u201dLightInceptionNet: \u9ad8\u7cbe\u5ea6\u3067\u8efd\u91cf\u306a Deepfake \u691c\u51fa\u6280\u8853\u306e\u958b\u767a\u201d\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2022 \u8ad6\u6587\u96c6, pp. 105-112\uff0c2022\u5e74<\/li>\n<li>\u98ef\u5cf6\u6dbc\uff0c\u7af9\u4e45\u9054\u4e5f\uff0c\u5927\u6728\u54f2\u53f2\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u307e\u3070\u305f\u304d\u306b\u3088\u3063\u3066\u751f\u3058\u308b\u96fb\u5727\u3092\u7528\u3044\u305f\u8a8d\u8a3c\u65b9\u5f0f\u306e\u63d0\u6848\u201c\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2022 \u8ad6\u6587\u96c6, pp. 500-507\uff0c2022\u5e74 (CSS2022 \u512a\u79c0\u8ad6\u6587\u8cde)<\/li>\n<li>\u677e\u5c3e\u548c\u8f1d\uff0c\u4e39\u7530\u8ce2\uff0c\u5ddd\u53e4\u8c37\u88d5\u5e73\uff0c\u68ee\u9054\u54c9\uff0c\u201dUEFI \u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u30d1\u30c3\u30ad\u30f3\u30b0\u306b\u3088\u308b\u96e3\u8aad\u5316\u201c\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2022 \u8ad6\u6587\u96c6, pp. 1071-1078\uff0c2022\u5e74 (CSS2022 \u5b66\u751f\u8ad6\u6587\u8cde)<\/li>\n<li>\u9234\u6728\u82bd\u4f9d\uff0c\u98ef\u5cf6\u6dbc\uff0c\u91ce\u672c\u4e00\u8f1d\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u30e6\u30fc\u30b6\u306e\u81ea\u7136\u306a\u52d5\u4f5c\u3092\u5229\u7528\u3057\u305f\u30d8\u30c3\u30c9\u30de\u30a6\u30f3\u30c8\u30c7\u30a3\u30b9\u30d7\u30ec\u30a4\u30e6\u30fc\u30b6\u8a8d\u8a3c\u65b9\u6cd5\u306e\u63d0\u6848\u3068\u8a55\u4fa1\u201c\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2022 \u8ad6\u6587\u96c6, pp. 667-674\uff0c2022\u5e74<\/li>\n<li>\u4f50\u53e4\u5065\u592a\u90ce\uff0c\u677e\u5c3e\u771f\u4e00\u90ce\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u30b9\u30de\u30fc\u30c8\u30b3\u30f3\u30c8\u30e9\u30af\u30c8\u4e0a\u3067\u5b9f\u884c\u53ef\u80fd\u306a\u5206\u6563\u578b\u64ec\u4f3c\u4e71\u6570\u751f\u6210\u624b\u6cd5\u201c\uff0c\u7814\u7a76\u5831\u544a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3 (CSEC) 2022 (29), pp. 1-6\uff0c2022\u5e74<\/li>\n<li>\u5c0f\u91ce\u5927\u6cb3\uff0c\u83c5\u539f\u5065\uff0c\u4f50\u4e45\u9593\u6df3\uff0c\u68ee\u9054\u54c9\uff0c\u201d\u6575\u5bfe\u7684\u30b5\u30f3\u30d7\u30eb\u3092\u7528\u3044\u305f\u5fc3\u96fb\u56f3\u306b\u5bfe\u3059\u308b\u7269\u7406\u653b\u6483\u624b\u6cd5\u306e\u8a55\u4fa1\u201c\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a; \u4fe1\u5b66\u6280\u5831 122 (86), pp. 61-66\uff0c2022\u5e74<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u53d7\u8cde Award<\/strong>\n<ul>\n<li>CSS2022\u512a\u79c0\u8ad6\u6587\u8cde \u98ef\u5cf6 \u6dbc, \u7af9\u4e45 \u9054\u4e5f, \u5927\u6728 \u54f2\u53f2, \u68ee \u9054\u54c9, \u201c\u307e\u3070\u305f\u304d\u306b\u3088\u3063\u3066\u751f\u3058\u308b\u96fb\u5727\u3092\u7528\u3044\u305f\u8a8d\u8a3c\u65b9\u5f0f\u306e\u63d0\u6848\u201c, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (CSS2022)<\/li>\n<li>CSS2022\u5b66\u751f\u8ad6\u6587\u8cde \u5927\u5c71 \u7a42\u9ad8, \u98ef\u5cf6 \u6dbc, \u68ee \u9054\u54c9, \u201c\u30de\u30ac\u30a4\u30ce\u30af\u30e9\u30b7\u30d5\u30a1\u30a4\u30a2 : \u81ea\u5f8b\u98db\u884c\u578b\u30c9\u30ed\u30fc\u30f3\u3092\u6a19\u7684\u3068\u3057\u305f\u6295\u5f71\u653b\u6483\u306e\u5bfe\u7b56\u201c, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (CSS2022)<\/li>\n<li>CSS2022\u5b66\u751f\u8ad6\u6587\u8cde \u677e\u5c3e \u548c\u8f1d, \u4e39\u7530 \u8ce2, \u5ddd\u53e4\u8c37 \u88d5\u5e73, \u68ee \u9054\u54c9, \u201cUEFI \u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u30d1\u30c3\u30ad\u30f3\u30b0\u306b\u3088\u308b\u96e3\u8aad\u5316\u201c, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (CSS2022)<\/li>\n<li>\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306b\u95a2\u3059\u308b\u7dcf\u52d9\u5927\u81e3\u5968\u52b1\u8cde: \u68ee\u9054\u54c9 2023\u5e743\u6708<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Itsuro MORITA --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100003271_ja.html\">\u68ee\u7530\u3000\u9038\u90ce \u6559\u6388 Itsuro MORITA, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u56fd\u5185\u5927\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u5c3e\u5ddd\u6674\u5f66, \u6797\u7a42\u9ad8,\u3000\u9ad8\u6a4b\u82f1\u61b2,\u3000\u91e3\u8c37\u525b\u5b8f,\u3000\u68ee\u7530\u9038\u90ce, \u201c\u5358\u4e00\u5149\u5b50\u691c\u51fa\u5668\u3092\u7528\u3044\u305f\u30d1\u30eb\u30b9\u4f4d\u7f6e\u5909\u8abf\u901a\u4fe1\u306b\u304a\u3051\u308b\u30d1\u30eb\u30b9\u4f4d\u7f6e\u500b\u5225\u53d7\u4fe1\u65b9\u5f0f\u306e\u57fa\u790e\u691c\u8a0e\u201d, 2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, 2023\u5e743\u6708.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u53d7\u8cde Award<\/strong>\n<ul>\n<li>\u68ee\u7530\u9038\u90ce, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u3000\u529f\u52b4\u9855\u5f70\u72b6, 2022\u5e749\u6708.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Academic Society Activit<\/strong>\n<ul>\n<li>IEEE\u6771\u4eac\u652f\u90e8\uff0c\u7406\u4e8b,\u3000Fellow Nominations Commitee Chair.<\/li>\n<li>IEEE Communications Magazine, Lead Series Editor<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7279\u8a31 Patent<\/strong>\n<ul>\n<li>\u7279\u98582023-030105\uff1a\u68ee\u7530\u9038\u90ce, \u6797\u7a42\u9ad8,\u3000\u9ad8\u6a4b\u82f1\u61b2, \u201c\u5149\u53d7\u4fe1\u6a5f\u53ca\u3073\u5149\u9001\u4fe1\u6a5f\u201d, 2023\u5e743\u6708.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Hironori WASHIZAKI --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000625_ja.html\">\u9df2\u5d0e\u3000\u5f18\u5b9c \u6559\u6388 Hironori WASHIZAKI, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>\u00a0Eduardo Buglioni Fernandez, Nobukazu Yoshioka, Hironori Washizaki, Joseph William Yoder, \u201cAbstract security patterns and the design of secure systems,\u201d Cybersecurity, Vol. 5, No. 7, pp. 1-17, Springer, 2022.4.1.<br \/>\n[\u8981\u7d04] During the initial stages of software development, the primary goal is to define precise and detailed requirements without concern for software realizations. Security constraints should be introduced then and must be based on the semantic aspects of applications, not on their software architectures, as it is the case in most secure development methodologies. In these stages, we need to identify threats as attacker goals and indicate what conceptual security defenses are needed to thwart these goals, without consideration of implementation details. We can consider the effects of threats on the application assets and try to find ways to stop them. These threats should be controlled with abstract security mechanisms that can be realized by abstract security patterns (ASPs), that include only the core functions of these mechanisms, which must be present in every implementation of them. An abstract security pattern describes a conceptual security mechanism that includes functions able to stop or mitigate a threat or comply with a regulation or institutional policy. We describe here the properties of ASPs and present a detailed example. We relate ASPs to each other and to Security Solution Frames, which describe families of related patterns. We show how to include ASPs to secure an application, as well as how to derive concrete patterns from them. Finally, we discuss their practical value, including their use in \u201csecurity by design\u201d and IoT systems design.<\/li>\n<li>Ryoya Yoshimura, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, \u201cRecommendation System Providing Similar Problems Instead of Model Answers to Programming Assignments,\u201d Applied System Innovation, Vol. 5, pp. 1-18, 2022.5.31<br \/>\n[\u8981\u7d04] Programming education for beginners often employs online judges. Although this helps improve coding skills, students may not obtain sufficient educational effects if the assignment is too difficult. Instead of presenting a model answer to an assignment, this paper proposes an approach to provide students with problems that have content and answer source code similar to the assignment. The effectiveness of our approach is evaluated via an intervention experiment in a university lecture course. The improvement in the number of correct answers is statistically significant compared to the same course offered in a different year without the proposed system. Therefore, the proposed approach should aid in the understanding of an assignment and enhance the educational effect.<\/li>\n<li>Daisuke Saito, Shumon Masuda, Hironori Washizaki, Yoshiaki Fukazawa, Toshiharu Nshizawa, \u201cProposal of Rubric for Information Security Education Materials,\u201d Journal of Digital Life, Vol. 2, pp. 1-10, 2022.6.10<br \/>\n[\u8981\u7d04] This study proposes a generic rubric that can be used as an assessment axis for information security educational materials regarding existing computer science education evaluation standards to assess the learning effectiveness of information security educational materials aimed at young people. The proposed rubric includes items such as \u201cunderstanding of cyber security\u201d and \u201cunderstanding why passwords are necessary,\u201d and five-level learning objectives are defined for these items. Furthermore, the proposed rubric was used to assess the existing information security educational material \u201cHajimete no Joho Security (Learning First Information Security in a Different World)\u201d using Minecraft. The proposed rubric was mapped to the learning contents of the teaching material as an assessment method, and the learning effectiveness of the teaching material was measured using Minecraft with the cooperation of a community center project in Sayama City in Japan. Therefore, we were able to evaluate the learning effects using the proposed rubric.<\/li>\n<li>Pankaj Kamthan and Hironori Washizaki, \u201cSWEBOK Matters: Report and Reflection of a SEKE Panel on the Educational and Professional Implications of SWEBOK,\u201d International Journal of Software Engineering and Knowledge Engineering (IJSEKE), pp. 1-11, 2022.10.22<br \/>\n[\u8981\u7d04] This paper provides a summary of the proceedings of a panel on the Guide to the Software Engineering Body of Knowledge (SWEBOK) held under the auspices of the Thirty-Fourth International Conference on Software Engineering and Knowledge Engineering (SEKE 2022), as well as the discussion that ensued thereafter among the panelists. In this regard, a synopsis of the underlying motivation and structure of SWEBOK is given, and the means for integrating SWEBOK in software-intensive organizations and educational institutions offering software engineering-related courses are highlighted and illustrated by pedagogically-oriented examples.<\/li>\n<li>Toshinori Takai, Katsutoshi Shintani, Hideki Andoh, Hironori Washizaki, \u201cContinuous modeling supports from business analysis to systems engineering in IoT development,\u201d International Journal of Service and Knowledge Management (IJSKM), Vol. 6, No. 2, pp. 1-15, 2022.12.16<br \/>\n[\u8981\u7d04] Developing Internet of Things (IoT) systems is non-trivial due to the intrinsic nature of IoT. Diverse solution spaces, which are composed of various sensor-based and human operationbased contexts, must be satisfied simultaneously. This study proposes a chain approach method called the continuous modeling support process for business analysis and solution requirements in IoT development (COMP4BA-IoT). COMP4BA-IoT 1) captures contexts by natural language-based needs and requirements, 2) structures the identified contexts by a goal-oriented approach, and then 3) merges them to the system models. Using COMP4BAIoT, evidence-supported communication media among stakeholders can be obtained, which can give traceability from organizational goals to IoT solutions. COMP4BA-IoT is the first trial to combine Business Analysis Body of Knowledge (BABOK), GQM+Strategies, Goal Structuring Notation (GSN), and Systems Modeling Language (SysML) in the context of IoT development.<\/li>\n<li>Haruna Isotani, Hironori Washizaki, Yoshiaki Fukazawa, Tsutomu Nomoto, Saori Ouji and Shinobu Saito, \u201cSentence Embedding and Fine-tuning to Automatically Identify Duplicate Bugs,\u201d Frontiers in Computer Science, Vol. 4, pp. 1-23, 2023.1.19<br \/>\n[\u8981\u7d04] Industrial software maintenance is critical but burdensome. Activities such as detecting duplicate bug reports are often performed manually. Herein an automated duplicate bug report detection system improves maintenance efficiency using vectorization of the contents and deep learning\u2013based sentence embedding to calculate the similarity of the whole report from vectors of individual elements. Specifically, sentence embedding is realized using Sentence-BERT fine tuning. Additionally, its performance is experimentally compared to baseline methods to validate the proposed system. The proposed system detects duplicate bug reports more effectively than existing methods.<\/li>\n<li>Md Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki, \u201cMachine Learning Application Development: Practitioners\u2019 Insights,\u201d Software Quality Journal, Springer, pp. 1-55, 2023.3.30<br \/>\n[\u8981\u7d04] Nowadays, intelligent systems and services are getting increasingly popular as they provide data-driven solutions to diverse real-world problems, thanks to recent breakthroughs in artificial intelligence (AI) and machine learning (ML). However, machine learning meets software engineering not only with promising potentials but also with some inherent challenges. Despite some recent research efforts, we still do not have a clear understanding of the challenges of developing ML-based applications and the current industry practices. Moreover, it is unclear where software engineering researchers should focus their efforts to better support ML application developers. In this paper, we report about a survey that aimed to understand the challenges and best practices of ML application development. We synthesize the results obtained from 80 practitioners (with diverse skills, experience, and application domains) into 17 findings outlining challenges and best practices for ML application development. Practitioners involved in the development of ML-based software systems can leverage the summarized best practices to improve the quality of their system. We hope that the reported challenges will inform the research community about topics that need to be investigated to improve the engineering process and the quality of ML-based applications.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>\u00a0Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Hironori Takeuchi and Yoshiaki Fukazawa, \u201cTraceable Business-to-Safety Analysis Framework for Safety-critical Machine Learning Systems,\u201d 1st Conference on AI Engineering &#8211; Software Engineering for AI (CAIN 2022), Poster, 2022.5.16<\/li>\n<li>Hironori Washizaki, \u201cSoftware Engineering in Digital Transformation and Diversity: Preliminary Literature Review,\u201d 46th IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2022), Fast Abstract, pp. 1-2, 2022.6.28<\/li>\n<li>Naoki Tane, Yusaku Ito, Hrionori Washizaki and Yoshiaki Fukazawa, \u201cVisualization of automated program repair focusing on suspiciousness values,\u201d 34th International Conference on Software Engineering and Knowledge Engineering (SEKE 2022), online, 2022.7.10<\/li>\n<li>Kensuke Sumoto, Kenta Kanakogi, Hironori Washizaki, Nobukazu Yoshioka, Naohiko Tsuda, Yoshiaki Fukazawa and Hideyuki Kanuka, \u201cAutomatic labeling of the elements of a vulnerability report CVE with NLP,\u201d IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI2022), Poster, Virtual, 2022.8.11<\/li>\n<li>Ryusei Takei, Daisuke Saito, Hironori Washizaki and Yoshiaki Fukazawa, \u201cLearning effects of a coding-based board game for beginning students learning to program,\u201d IFIP WCCE 2022: World Conference on Computers in Education, Hiroshima, 2022.8.20<\/li>\n<li>Yui Ono, Daisuke Saito, Hironori Washizaki and Yoshiaki Fukazawa, \u201cValidity of animation when finding errors by Chuggington,\u201d IFIP WCCE 222: World Conference on Computers in Education, Hiroshima, 2022.8.20<\/li>\n<li>Hironori Washizaki, Foutse Khomh, Yann-Gael Gueheneuc, \u201cSoftware Engineering Patterns for Machine Learning Applications (SEP4MLA) &#8211; Part 4 &#8211; ML Gateway Routing Architecture,\u201d 29th Conference on Pattern Languages of Programs (PLoP 2022), pp. 1-8, 2022.10.17<\/li>\n<li>Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka and Yoshiaki Fukazawa, \u201cModeling Tool for Managing Canvas-Based Models Traceability in ML System Development,\u201d ACM\/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), Poster Track, Montreal, 2022.10.23<\/li>\n<li>Wenxi Zhang, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, \u201cImproving Fuzzing Coverage with Execution Path Length Selection,\u201d The 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022), Fast Abstract, Virtual, Charlotte, North Carolina, USA, 2022.10.31<\/li>\n<li>Rose Niousha, Daisuke Saito, Hironori Washizaki, Yoshioaki Fukazawa, \u201cScratch Project Analysis: Relationship Between Gender and Computational Thinking Skill,\u201d IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2022, Hongkong, 2022.12.4<\/li>\n<li>Hironori Washizaki, \u201cSystematic Literature Review of Gender and Software Engineering in Asia,\u201d Asia-Pacific Software Engineering and Diversity, Equity, and Inclusion (APSEDEI) workshop collocated with APSEC 2022, 2022.12.6<\/li>\n<li>Xun Zhang, Hironori Washizaki, Nobukazu Yoshioka and Yoshiaki Fukazawa, \u201cDetecting Design Patterns in UML Class Diagram Images using Deep Learning,\u201d 24th IEEE\/ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD2022-Winter), 2022.12.7<\/li>\n<li>Jati Husen, Hironori Washizaki, Nobukazu Yoshioka, Hnin Tun, Yoshiaki Fukazawa and Hironori Takeuchi, \u201cMetamodel-Based Multi-View Modeling Framework for Machine Learning Systems,\u201d 11th International Conference on Model-Based Software and Systems Engineering (MODELSWARD 2023), pp.1-8, Lisbon, 2023.2.19<\/li>\n<li>Yuta Saito, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, \u201cMultiple Function Merging for Code Size Reduction,\u201d IEEE\/ACM International Symposium on Code Generation and Optimization (CGO), Student Research Competition, Montreal, Canada, 2023.2.25<\/li>\n<li>Guang Yang, Daisuke Saito, Hironori Washizaki, Yoshiaki Fukazawa, \u201cData-driven Analysis of Elementary School Students\u2019 Computational Thinking through Scratch Projects,\u201d 13th IEEE Integrated STEM Education Conference (ISEC), Virtual, Laurel, Maryland, 2023.3.11<\/li>\n<li>Xinze Wang, Daisuke Saito, Hironori Washizaki, Yoshiaki Fukazawa, \u201cFacilitating Students\u2019 Abstract and Computational Thinking Skills Using Virtual Reality,\u201d 13th IEEE Integrated STEM Education Conference (ISEC), Virtual, Laurel, Maryland, 2023.3.11<\/li>\n<li>Rose Niousha, Saito Daisuke, Hironori Washizaki and Yoshiaki Fukazawa, \u201cGender Characteristics and Computational Thinking in Scratch,\u201d 54th ACM Technical Symposium on Computer Science Education (SIGCSE TS 2023), Poster, Toronto, Ontario, Canada, 2023.3.15<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>25. \u694a \u654f\u821c, \u4f50\u85e4 \u9756\u6cbb, \u9df2\u5d0e \u5f18\u5b9c, \u6df1\u6fa4 \u826f\u5f70, \u9ad9\u6a4b \u5bff\u4e00, \u201c\u5229\u7528\u8005\u6e80\u8db3\u5ea6\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u30a2\u30b8\u30e3\u30a4\u30eb\u958b\u767a\u30d7\u30ed\u30bb\u30b9\u306e\u7279\u5fb4\u306e\u7279\u5b9a\u201d, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c213\u56de\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u767a\u8868\u4f1a, \u6238\u585a \u65e5\u7acb\u88fd\u4f5c\u6240\uff08\u6a2a\u6d5c\u7814\u7a76\u6240\uff09, 2023\u5e743\u670810\u65e5 26.<\/li>\n<li>\u6797\u53e3 \u82f1\u6cbb, \u9df2\u5d0e \u5f18\u5b9c, \u201cDX\u306b\u5411\u3051\u305f\u30ea\u30ab\u30ec\u30f3\u30c8\u6559\u80b2\u306b\u5bfe\u3059\u308b\u6559\u80b2\u5185\u5bb9\u306e\u8a55\u4fa1\u65b9\u6cd5\u201d, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c213\u56de\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u767a\u8868\u4f1a, \u6238\u585a \u65e5\u7acb\u88fd\u4f5c\u6240\uff08\u6a2a\u6d5c\u7814\u7a76\u6240\uff09, 2023\u5e743\u670810\u65e5 27.<\/li>\n<li>\u672c\u7530 \u6f84, \u795e\u5c71 \u98db\u60a0\u6cb3, \u9df2\u5d0e \u5f18\u5b9c, \u6df1\u6fa4 \u826f\u5f70, \u201c\u4e88\u6e2c\u6b20\u9665\u6570\u306e\u5909\u5316\u3092\u7528\u3044\u305f\u7d44\u7e54\u3068\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u95a2\u4fc2\u5206\u6790\u201d, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c213\u56de\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u767a\u8868\u4f1a, \u6238\u585a \u65e5\u7acb\u88fd\u4f5c\u6240\uff08\u6a2a\u6d5c\u7814\u7a76\u6240\uff09, 2023\u5e743\u670810\u65e5<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u5927\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u00a0\u4e09\u8f2a \u667a\u6a39, \u9df2\u5d0e\u5f18\u5b9c, \u6df1\u6fa4\u826f\u5f70, \u201cC\u8a00\u8a9e\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u304a\u3051\u308b\u30de\u30af\u30ed\u5229\u7528\u306e\u8abf\u67fb\u201d, \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022 (SES2022), \u30dd\u30b9\u30bf\u30fc, \u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u958b\u50ac\uff08\u65e9\u7a32\u7530\u5927\u5b66\u897f\u65e9\u7a32\u7530\u30ad\u30e3\u30f3\u30d1\u30b9\/\u30aa\u30f3\u30e9\u30a4\u30f3\uff09, 2022\u5e749\u67086\u65e5<\/li>\n<li>\u4f0a\u6771 \u96c4\u7b56, \u9df2\u5d0e \u5f18\u5b9c, \u201c\u5236\u7d04\u6761\u4ef6\u306e\u8ffd\u52a0\u306b\u3088\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u81ea\u52d5\u4fee\u6b63\u306e\u52b9\u7387\u5411\u4e0a\u201d, \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022 (SES2022), \u30dd\u30b9\u30bf\u30fc, \u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u958b\u50ac\uff08\u65e9\u7a32\u7530\u5927\u5b66\u897f\u65e9\u7a32\u7530\u30ad\u30e3\u30f3\u30d1\u30b9\/\u30aa\u30f3\u30e9\u30a4\u30f3\uff09, 2022\u5e749\u67086\u65e5<\/li>\n<li>Sien Reeve Peralta, Hironori Washizaki, Yoshiaki Fukazawa, Yuki Noyori, Hideyuki Kanuka and Shuhei Nojiri, \u201cAnalysis of Bug Report Qualities with fixing time using Causal and Inference Model,\u201d \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022 (SES2022), \u30dd\u30b9\u30bf\u30fc, \u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u958b\u50ac\uff08\u65e9\u7a32\u7530\u5927\u5b66\u897f\u65e9\u7a32\u7530\u30ad\u30e3\u30f3\u30d1\u30b9\/\u30aa\u30f3\u30e9\u30a4\u30f3\uff09, 2022\u5e749\u67086\u65e5<\/li>\n<li>\u677e\u7530\u4e00\u90ce, \u672c\u7530\u6f84, \u9df2\u5d0e\u5f18\u5b9c, \u6df1\u6fa4\u826f\u5f70, \u201cWeb API\u3092\u6a21\u5023\u3059\u308b\u30c7\u30d0\u30c3\u30b0\u30c4\u30fc\u30eb\u306e\u958b\u767a\u201d, \u7b2c29\u56de\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u306e\u57fa\u790e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 \uff08FOSE2022\uff09in \u677e\u6c5f\u3057\u3093\u3058\u6e56\u6e29\u6cc9, 2022\u5e7411\u670810\u65e5<\/li>\n<li>\u9df2\u5d0e\u5f18\u5b9c, \u201c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u306b\u304a\u3051\u308b\u30b8\u30a7\u30f3\u30c0\u30fc\u306e\u7814\u7a76\u52d5\u5411: \u4e16\u754c\u3068\u30a2\u30b8\u30a2\u306b\u304a\u3051\u308b\u6587\u732e\u8abf\u67fb\u3088\u308a\u201d, \u30a6\u30a3\u30f3\u30bf\u30fc\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023\u30fb\u30a4\u30f3\u30fb\u5bcc\u5c71, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a, \u5bcc\u5c71, 2023\u5e741\u670820\u65e5<\/li>\n<li>\u30cb\u30a6\u30b7\u30e3 \u30ed\u30fc\u30ba, \u201cScratch\u306b\u304a\u3051\u308b\u30b8\u30a7\u30f3\u30c0\u30fc\u7279\u6027\u3068\u8a08\u7b97\u8ad6\u7406\u7684\u601d\u8003\u201d, \u30a6\u30a3\u30f3\u30bf\u30fc\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023\u30fb\u30a4\u30f3\u30fb\u5bcc\u5c71, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a, \u5bcc\u5c71, 2023\u5e741\u670820\u65e5<\/li>\n<li>\u694a \u654f\u821c\uff0c\u4f50\u85e4\u9756\u6cbb\uff0c\u9df2\u5d0e\u5f18\u5b9c\uff0c\u6df1\u6fa4\u826f\u5f70\uff0c\u9ad9\u6a4b\u5bff\u4e00, \u201c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u5229\u7528\u8005\u6e80\u8db3\u5ea6\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u30a2\u30b8\u30e3\u30a4\u30eb\u958b\u767a\u30d7\u30ed\u30bb\u30b9\u306e\u7279\u5fb4\u8abf\u67fb\u201d, \u30a6\u30a3\u30f3\u30bf\u30fc\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023\u30fb\u30a4\u30f3\u30fb\u5bcc\u5c71, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a, \u5bcc\u5c71, 2023\u5e741\u670820\u65e5<\/li>\n<li>\u672c\u7530\u6f84\uff0c\u6a4b\u672c\u76f4\u5b99\uff0c\u4e16\u7f85\u4fd0\u6075\uff0c\u9df2\u5d0e\u5f18\u5b9c\uff0c\u6df1\u6fa4\u826f\u5f70\uff0c\u591a\u8cc0\u6b63\u535a\uff0c\u4e2d\u5ddd\u548c\u4e4b\uff0c\u9152\u4e95\u512a\u4ecb, \u201c\u30d9\u30a4\u30b8\u30a2\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5229\u7528\u3057\u305f\u7d44\u7e54\u76ee\u6a19\u304c\u4e0e\u3048\u308b\u5f71\u97ff\u306e\u53ef\u8996\u5316\u306e\u8a66\u307f\u201d, \u30a6\u30a3\u30f3\u30bf\u30fc\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023\u30fb\u30a4\u30f3\u30fb\u5bcc\u5c71, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a, \u5bcc\u5c71, 2023\u5e741\u670820\u65e5<\/li>\n<li>\u4e16\u7f85\u4fd0\u6075\uff0c\u9df2\u5d0e\u5f18\u5b9c\uff0c\u6df1\u6fa4\u826f\u5f70, \u591a\u8cc0\u6b63\u535a\uff0c\u4e2d\u5ddd\u548c\u4e4b\uff0c\u9152\u4e95\u512a\u4ecb, \u201cB2B\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30b5\u30fc\u30d3\u30b9\u306b\u304a\u3051\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u624b\u6cd5\u3092\u7528\u3044\u305f\u30e6\u30fc\u30b6\u306e\u884c\u52d5\u50be\u5411\u7279\u5b9a\u201d, \u30a6\u30a3\u30f3\u30bf\u30fc\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023\u30fb\u30a4\u30f3\u30fb\u5bcc\u5c71, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a, \u5bcc\u5c71, 2023\u5e741\u670820\u65e5<\/li>\n<li>\u9673\u5fd7\u5b87, \u9df2\u5d0e\u9069\u5b9c, \u6df1\u6fa4\u826f\u5f70, \u677e\u6c38\u667a\u884c, \u539f\u7530\u8cb4\u5f18, \u5c0f\u677e\u5eb7\u96c4, \u5ddd\u52dd\u88d5\u548c, \u4e95\u4e0a\u6804, \u672c\u7530\u4eae, \u6797\u7530\u5065, \u201cSNS\u4e0a\u306e\u6d3b\u52d5\u30c7\u30fc\u30bf\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u99c6\u52d5\u306e\u30da\u30eb\u30bd\u30ca\u69cb\u7bc9\u3068\u6d3b\u7528\u304a\u3088\u3073\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u4f01\u753b\u3068\u63a8\u85a6\u306b\u5411\u3051\u3066\u201d, \u30a6\u30a3\u30f3\u30bf\u30fc\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023\u30fb\u30a4\u30f3\u30fb\u5bcc\u5c71, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a, \u5bcc\u5c71, 2023\u5e741\u670820\u65e5<\/li>\n<li>\u5c0f\u539f\u5320, \u9f4b\u85e4\u5927\u8f14, \u9df2\u5d0e\u5f18\u5b9c, \u6df1\u6fa4\u826f\u5f70, \u201c\u5b66\u7fd2\u7d4c\u9a13\u30fb\u5b9f\u65bd\u30b2\u30fc\u30e0\u7d4c\u9a13\u306b\u3088\u308b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u6559\u80b2\u3078\u306e\u5f71\u97ff\u201d, \u65e5\u672c\u30c7\u30b8\u30bf\u30eb\u30b2\u30fc\u30e0\u5b66\u4f1a \u7b2c13\u56de\u5e74\u6b21\u5927\u4f1a DiGRA JAPAN 13th, 2023\u5e742\u670824\u65e5<\/li>\n<li>\u690d\u677e\u5f69\u5948, \u9f4b\u85e4\u5927\u8f14, \u9df2\u5d0e\u5f18\u5b9c, \u6df1\u6fa4\u826f\u5f70, \u201c\u5c0f\u5b66\u751f\u3092\u5bfe\u8c61\u306b\u3057\u305f\u30b2\u30fc\u30e0\u3092\u7528\u3044\u305f\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u6027\u5dee\u201d, \u65e5\u672c\u30c7\u30b8\u30bf\u30eb\u30b2\u30fc\u30e0\u5b66\u4f1a \u7b2c13\u56de\u5e74\u6b21\u5927\u4f1a DiGRA JAPAN 13th, 2023\u5e742\u670824\u65e5<\/li>\n<li>\u4f0a\u6771\u96c4\u7b56, \u9df2\u5d0e\u5f18\u5b9c, \u6df1\u6fa4\u826f\u5f70, \u201c\u6761\u4ef6\u5f0f\u306e\u81ea\u52d5\u751f\u6210\u306b\u3088\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u81ea\u52d5\u4fee\u6b63\u306e\u52b9\u7387\u5411\u4e0a\u201d, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7b2c85\u56de\u5168\u56fd\u5927\u4f1a, \u96fb\u6c17\u901a\u4fe1\u5927\u5b66, 2023\u5e743\u67082\u65e5<\/li>\n<li>\u5bae\u7530\u9678\u6b69, \u9df2\u5d0e\u5f18\u5b9c, \u9808\u672c\u8ce2\u4ecb, \u6df1\u6fa4\u826f\u5f70, \u201c\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308bCAPEC\u306e\u653b\u6483\u30d1\u30bf\u30fc\u30f3\u9593\u306e\u95a2\u4fc2\u306e\u7279\u5b9a\u201d, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7b2c85\u56de\u5168\u56fd\u5927\u4f1a, \u96fb\u6c17\u901a\u4fe1\u5927\u5b66, 2023\u5e743\u67082\u65e5<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8457\u66f8 Book<\/strong>\n<ul>\n<li>\u6e21\u8fba\u559c\u9053, \u9df2\u5d0e\u5f18\u5b9c, \u7b39\u90e8\u9032, \u8fb0\u5df3\u656c\u4e09 \u8457, SQiP\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u54c1\u8cea\u59d4\u54e1\u4f1a \u7de8\u96c6, \u201c\u521d\u7d1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u54c1\u8cea\u6280\u8853\u8005\u8cc7\u683c\u8a66\u9a13(JCSQE)\u554f\u984c\u3068\u89e3\u8aac \u7b2c3\u7248\u201d, \u65e5\u79d1\u6280\u9023\u51fa\u7248\u793e, 2022\u5e744\u6708<\/li>\n<li>\u30b8\u30e3\u30e0\u30cf\u30a6\u30b9\u7de8\u96c6\u90e8 (\u8457), \u9df2\u5d0e \u5f18\u5b9c (\u76e3\u4fee), \u682a\u5f0f\u4f1a\u793e\u30d5\u30b8\u30c6\u30ec\u30d3\u30b8\u30e7\u30f3 \u682a\u5f0f\u4f1a\u793e\u4e5d\u5dde\u30b3\u30fc\u30e6\u30fc (\u305d\u306e\u4ed6), \u3042\u305d\u3093\u3067! \u307e\u306a\u3079\u308b! \u30c1\u30e3\u30ae\u30f3\u30c8\u30f3\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0, \u30b8\u30e3\u30e0\u30cf\u30a6\u30b9, 2022\u5e747\u6708<\/li>\n<li>\u77f3\u5ddd\u51ac\u6a39, \u4e38\u5c71\u5b8f (\u7de8\u96c6, \u8457), \u67ff\u6cbc\u592a\u4e00, \u7af9\u5185\u5e83\u5b9c, \u571f\u6a4b\u660c, \u4e2d\u5ddd\u88d5\u5fd7, \u539f\u8061, \u5800\u5185\u65b0\u543e, \u9df2\u5d0e\u5f18\u5b9c (\u8457), \u201c\u6a5f\u68b0\u5b66\u7fd2\u5de5\u5b66 (\u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30d5\u30a7\u30c3\u30b7\u30e7\u30ca\u30eb\u30b7\u30ea\u30fc\u30ba)\u201d, \u8b1b\u8ac7\u793e, 2022\u5e747\u6708<\/li>\n<li>Joseph Yoder\uff0cRebecca Wirfs-Brock\uff0cAdemar Aguiar\uff0c\u9df2\u5d0e \u5f18\u5b9c \u8457\uff0c\u7ffb\u8a33\uff1a\u9df2\u5d0e \u5f18\u5b9c\uff0c\u9577\u8c37\u5ddd \u88d5\u4e00\uff0c\u6ff1\u4e95 \u548c\u592b\uff0c\u5c0f\u6797 \u6d69\uff0c\u9577\u7530 \u6b66\u5fb3\uff0c\u9673 \u51cc\u5cf0\uff0c\u201c\u30a2\u30b8\u30e3\u30a4\u30eb\u54c1\u8cea\u30d1\u30bf\u30fc\u30f3\u300cQA to AQ\u300d \u4f1d\u7d71\u7684\u306a\u54c1\u8cea\u4fdd\u8a3c\u304b\u3089\u30a2\u30b8\u30e3\u30a4\u30eb\u54c1\u8cea\u3078\u306e\u5909\u9769\u201d\uff0c\u7fd4\u6cf3\u793e\uff0c2022\u5e749\u6708<\/li>\n<li>Hironori Washizaki, \u201cTowards Software Co-Engineering by AI and Developers,\u201d in Handbook on Artificial Intelligence-Empowered Applied Software Engineering, VOL.1: Novel Methodologies to Engineering Smart Software Systems, edited by Maria Virvou, et al., Springer, pp. 39-53, 2022.9<\/li>\n<li>\u5409\u5ca1\u4fe1\u548c, \u9df2\u5d0e\u5f18\u5b9c, \u5185\u5e73\u76f4\u5fd7, \u7af9\u5185\u5e83\u5b9c, \u201cAI\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u30de\u30cd\u30fc\u30b8\u30e3\u306e\u305f\u3081\u306e\u6a5f\u68b0\u5b66\u7fd2\u5de5\u5b66\u201d, \u79d1\u5b66\u60c5\u5831\u51fa\u7248\u682a\u5f0f\u4f1a\u793e, 2023\u5e741\u6708<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Acadeimic Society Activity<\/strong>\n<ul>\n<li>ISO\/IEC\/JTC1 SC7\/WG20, Convenor, 2022.4 &#8211; 2023.3 52.<\/li>\n<li>IEEE Computer Society, Board of Governors (BoG) member, 2022.4 &#8211; 2023.3<\/li>\n<li>International Journal of Software Engineering and Knowledge Engineering, Editor, 2022.4 &#8211; 2023.3<\/li>\n<li>IEEE Transactions on Emerging Topics in Computing (TETC), Associate Editor, 2022.4 &#8211; 2023.3<\/li>\n<li>Education Sciences, Editorial Board Member, 2022.4 &#8211; 2023.3<\/li>\n<li>Software, Editorial Board member, 2022.4 &#8211; 2023.3<\/li>\n<li>Applied Computing and Informatics, Editorial Board member, 2022.4 &#8211; 2023.3<\/li>\n<li>Frontiers in Computer Science, Associate Editor, 2022.4 &#8211; 2023.3<\/li>\n<li>IEEE COMPSAC\/SIoT 2022, Symposium Co-Chair, 2022.5<\/li>\n<li>IEEE ICET 2022, Advisory Chair, 2022.6<\/li>\n<li>APSEC 2022, General Chair, 2022.12<\/li>\n<li>ICETM 2022, Advisory Co-Chair, 2022.12<\/li>\n<li>IEEE Computer Society, 1st Vice President, 2023.1 &#8211; 2023.3<\/li>\n<li>\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30bd\u30d5\u30c8\u30a6\u30a8\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a IPSJ-SIGSE, \u4e3b\u67fb, 2022.4 &#8211; 2023.3<\/li>\n<li>JST CREST \u4fe1\u983c\u3055\u308c\u308bAI\u30b7\u30b9\u30c6\u30e0, \u9818\u57df\u30a2\u30c9\u30d0\u30a4\u30b6, 2022.4 &#8211; 2023.3<\/li>\n<li>\u539a\u751f\u52b4\u50cd\u7701, \u6280\u8853\u5be9\u67fb\u59d4\u54e1, 2022.4 &#8211; 2023.3<\/li>\n<li>\u6cd5\u52d9\u7701 \u6cd5\u5236\u5be9\u8b70\u4f1a\u6238\u7c4d\u90e8\u4f1a, \u5e79\u4e8b, 2022<\/li>\n<li>\u7d4c\u6e08\u7523\u696d\u7701 \u30c7\u30b8\u30bf\u30eb\u7523\u696d\u3078\u306e\u5909\u9769\u306b\u5411\u3051\u305f\u7814\u7a76\u4f1a, \u59d4\u54e1, 2022<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8868\u5f70 Award<\/strong>\n<ul>\n<li>Sien Reeve Peralta, Hironori Washizaki, Yoshiaki Fukazawa (Waseda University), Yuki Noyori, Hideyuki Kanuka and Shuhei Nojiri (Hitachi), \u4f01\u696d\u30fb\u30dd\u30b9\u30bf\u30fc\u8cde, \u201cAnalysis of Bug Report Qualities with fixing time using Causal and Inference Model,\u201d \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02022 (SES2022), 2022\u5e749\u6708<\/li>\n<li>Hironori Washizaki, 2022 Spirit of the Computer Society Award, IEEE Computer Society, 2022.11<\/li>\n<li>\u9df2\u5d0e\u5f18\u5b9c\uff0c\u4e0a\u7530\u8cc0\u4e00\uff0c\u4e2d\u6751\u8ce2\u6cbb\uff0c\u6ae8\u5c71\u6df3\u96c4\uff0c\u897f\u5d0e\u771f\u4e5f\uff0c\u4e2d\u5ddd\u535a\u4e4b\uff0c\u9d5c\u6797\u5c1a\u9756\uff0c\u5e73\u77f3\u90a6\u5f66\uff0c\u98ef\u7530\u5143\uff0c\u4f4d\u91ce\u6728\u4e07\u91cc\uff0c\u4e80\u7530\u5f18\u4e4b\uff0c\u91ce\u4e2d\u8aa0\uff0c\u7530\u8fba\u826f\u5247\uff0c\u5409\u5ca1\u4fe1\u548c\uff0c\u5ca1\u57fc\u6b63\u4e00, \u7d4c\u6e08\u7523\u696d\u7701\u7523\u696d\u6280\u8853\u74b0\u5883\u5c40\u9577\u8cde, \u65e5\u672c\u5de5\u5b66\u6559\u80b2\u5354\u4f1a, 2023\u5e743\u6708<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7279\u8a31 Patent<\/strong>\n<ul>\n<li>\u61c9\u6cbb \u6c99\u7e54, \u658e\u85e4 \u5fcd, \u91ce\u5143 \u52b1, \u9df2\u5d0e \u5f18\u5b9c, \u78ef\u8c37 \u6625\u5948, \u985e\u4f3c\u6587\u66f8\u691c\u51fa\u88c5\u7f6e\u3001\u985e\u4f3c\u6587\u66f8\u691c\u51fa\u65b9\u6cd5\u53ca\u3073\u30d7\u30ed\u30b0\u30e9\u30e0, \u7279\u958b2023-000651, 2023.1.4\uff08\u51fa\u9858\u30fb\u516c\u958b\uff09<\/li>\n<li>\u61c9\u6cbb \u6c99\u7e54, \u91ce\u5143 \u52b1, \u658e\u85e4 \u5fcd, \u9df2\u5d0e \u5f18\u5b9c, \u78ef\u8c37 \u6625\u5948, \u4fee\u6b63\u60c5\u5831\u751f\u6210\u88c5\u7f6e\u3001\u4fee\u6b63\u60c5\u5831\u751f\u6210\u65b9\u6cd5\u53ca\u3073\u30d7\u30ed\u30b0\u30e9\u30e0, \u7279\u958b2022-136800, 2022.9.21\uff08\u51fa\u9858\u30fb\u516c\u958b\uff09<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u305d\u306e\u4ed6 Else<\/strong>\n<ul>\n<li>\u00a0\u9df2\u5d0e\u5f18\u5b9c, ET\u30ed\u30dc\u30b3\u30f3\u306b\u304a\u3051\u308b\u30e2\u30c7\u30eb\u3092\u53d6\u308a\u5165\u308c\u305f\u30ed\u30dc\u30c3\u30c8\u5236\u5fa1\u306e\u6559\u80b2\u3068\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u54c1\u8cea, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, Vol. 40, No. 3, pp. 208-211, 2022\u5e744\u6708<\/li>\n<li>\u9df2\u5d0e\u5f18\u5b9c, \u6a5f\u68b0\u5b66\u7fd2\u3092\u4e2d\u5fc3\u3068\u3057\u305fAI\u6d3b\u7528\u306b\u3088\u308b\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u54c1\u8cea\u4fdd\u8a3c, \u30b7\u30b9\u30c6\u30e0\/\u5236\u5fa1\/\u60c5\u5831, Vol. 66, No. 5, pp. 167-173, 2022\u5e745\u6708<\/li>\n<li>\u9df2\u5d0e\u5f18\u5b9c, \u6642\u306e\u8a00\u970a, \u308a\u305d\u306a\u30fc\u308c 2022\u5e749\u6708\u53f7, \u308a\u305d\u306a\u7dcf\u5408\u7814\u7a76\u6240, 2022\u5e749\u6708<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Hiroshi WATANABE --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000514_ja.html\">\u6e21\u8fba\u3000\u88d5 \u6559\u6388 Hiroshi WATANABE, Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>T1. M. Takahashi, K. Iino, H. Watanabe, I. Morinaga, S. Enomoto, X. Shi, A. Sakamoto, and T. Eda: \u201cCategory-based Memory Bank Design for Traffic Surveillance in Context R-CNN,\u201d Proceedings of SPIE for IWAIT2023, Vol.12592, doi: 10.1117\/12.2666991, pp. 125920G-1-4, Mar. 2023.<br \/>\n[Abstract] Traffic surveillance cameras recognize a large number of objects. In this configuration, since vehicles appear in the same lanes, past footage is useful information. Context R-CNN has been proposed to store past videos in a memory bank and use them for recognition. In this paper, we propose a method to improve recognition performance by selecting objects to be stored in memory banks. We found that the proposed method can improve mAP by 0.37 points on average compared to the conventional method.<\/li>\n<li>T. Watanabe, T. Shindo, and H. Watanabe: \u201cNovel CNN Approach for Video Prediction Based on FitVid,\u201d Proceedings of SPIE for IWAT2023, Vol.12592, doi: 10.1117\/12.2665224, pp.1259210-1-4, Mar. 2023.<br \/>\n[Abstract] Video prediction is a task in computer vision that predicts future frames from the past few frames of video. In video prediction, a simple CNN-based approach called SimVP has marked remarkable performance without using RNN or vison transformer (ViT). In this paper, we propose a model structure to improve performance of video prediction based on FitVid. FitVid is a regression-based method of predicting future videos using not only video but also motion. We focus on video prediction only conditioned on videos. To this goal, we introduce network modules used in SimVP to FitVid. Experimental results show that the proposed structure shows better prediction accuracy compared to SimVP.<\/li>\n<li>Y. Liu, Y. Yano, H. Watanabe, T. Suzuki, Z. Fan, T. Chujo, and T. Ikai: \u201cA Prior-Guided Face Image Super-Resolution Network Based on Attention Mechanism,\u201d Proceedings of SPIE for IWAIT2023, Vol.12592, doi: 10.1117\/12.2666732, pp.1259213-1-6, Mar. 2023.<br \/>\n[Abstract] In this paper, we propose a face image super-resolution method, aiming to reconstruct high quality face images from a low resolution input. The proposed method introduces an attentional multi-scale feature fusion block, which aims to improve the representation power of the neural network by emphasizing the important feature maps and supressing the unimportant ones. In addition, the facial prior information is utilized by adding a separate prior branch, an hourglass structure is used. Experiments show the face images reconstructed by the proposed method exhibit noticeable quality improvement compared to the low-resolution images and other SR approaches.<\/li>\n<li>Y. Kidani, H. Kato, K. Kawamura, and H. Watanabe: \u201cGeometric Partitioning Mode with Inter and Intra Prediction for Beyond Versatile Video Coding,\u201d IEICE Transaction Information &amp; Systems, Vol. E.105-D, No.10, pp.1691-1703, Oct. 2022<br \/>\n[Abstract] Geometric partitioning mode (GPM) is a new inter prediction tool adopted in versatile video coding (VVC), which is the latest video coding of international standard developed by joint video expert team in 2020. Different from the regular inter prediction performed on rectangular blocks, GPM separates a coding block into two regions by the predefined 64 types of straight lines, generates inter predicted samples for each separated region, and then blends them to obtain the final inter predicted samples. With this feature, GPM improves the prediction accuracy at the boundary between the foreground and background with different motions. However, GPM has room to further improve the prediction accuracy if the final predicted samples can be generated using not only inter prediction but also intra prediction. In this paper, we propose a GPM with inter and intra prediction to achieve further enhanced compression capability beyond VVC. To maximize the coding performance of the proposed method, we also propose the restriction of the applicable intra prediction mode number and the prohibition of applying the intra prediction to both GPM-separated regions. The experimental results show that the proposed method improves the coding performance gain by the conventional GPM method of VVC by 1.3 times, and provides an additional coding performance gain of 1% bitrate savings in one of the coding structures for low-latency video transmission where the conventional GPM method cannot be utilized.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>M. Takahashi, K. Iino, H. Watanabe, I. Morinaga, S. Enomoto, X. Shi, A. Sakamoto, and T. Eda: \u201cCategory-based Memory Bank Design for Traffic Surveillance in Context R-CNN,\u201d International Workshop on Advanced Image Technology 2023 (IWAIT 2023) ,<\/li>\n<li>No.42, Jan. 2023. 6. T. Watanabe, T. Shindo, and H. Watanabe: \u201cNovel CNN Approach for Video Prediction Based on FitVid,\u201d International Workshop on Advanced Image Technology 2023 (IWAIT 2023), No.58, Jan. 2023.<\/li>\n<li>Y. Liu, Y. Yano, H. Watanabe, T. Ikai, T. Chujo, Z. Fan, and T. Suzuki: \u201cA Prior-Guided Face Image Super-Resolution Network Based on Attention Mechanism,\u201d International Workshop on Advanced Image Technology 2023 (IWAIT 2023), No.7, Jan. 2023.<\/li>\n<li>Yunlong Liu, Osamu Yoshie, and Hiroshi Watanabe: \u201cApplication of Multi-modal Fusion Attention Mechanism in Semantic Segmentation,\u201d Proceedings of the Asian Conference on Computer Vision (ACCV), 2022, pp. 1245-1264, Nov. 2022<\/li>\n<li>Shohei Adachi, Ryohei Osawa, and Hiroshi Watanabe: \u201cSelective Use of Skeletal Information to Reduce Computational Complexity of Motion Matching,\u201d IEEE Global Conference on Consumer Electronics (GCCE), OS-ADE, pp.68-71, Oct. 2022<\/li>\n<li>Ryohei Osawa, Shohei Adachi, and Hiroshi Watanabe: \u201cMotion Matching Based on Pose Similarity Using Movement of Body Parts,\u201d IEEE Global Conference on Consumer Electronics (GCCE), OS-ADE, pp.83-86, Oct. 2022<\/li>\n<li>Takahiro Shindo, Taiju Watanabe, Remina Yano, Marika Arimoto, Miho Takahashi, and Hiroshi Watanabe: \u201cSuper Resolution for QR Code Images,\u201d IEEE Global Conference on Consumer Electronics (GCCE), OS-TMR(2), pp.281-284, Oct. 2022<\/li>\n<li>Kei Iino, Miho Takahashi, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, and Takeharu Eda: \u201cInter-Feature-Map Differential Coding of Surveillance Video,\u201d IEEE Global Conference on Consumer Electronics (GCCE), OS-ASP(1), pp.293-296, Oct. 2022<\/li>\n<li>Sho Nakashima and Hiroshi Watanabe: \u201cImproving Accuracy of Position Information in Egocentric Pose Estimation Methods,\u201d IEEE Global Conference on Consumer Electronics (GCCE), OS-DSC, pp.688-691, Oct. 2022<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u6709\u672c\u9ebb\u68a8\u9999, \u539f\u6f64\u4e00, \u6e21\u8fba\u88d5: \u201cGAN\u304a\u3088\u3073Templete Matching\u3092\u7528\u3044\u305f\u6c34\u6ef4\u9664\u53bb\u624b\u6cd5\u306e\u691c\u8a0e&#8221;, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7b2c120\u56de\u30aa\u30fc\u30c7\u30a3\u30aa\u30d3\u30b8\u30e5\u30a2\u30eb\u8907\u5408\u60c5\u5831\u51e6\u7406\u7814\u7a76\u4f1a, Vol.2023-AVM-120, No.3, pp.1-4 Mar. 2023.<\/li>\n<li>\u4e2d\u5cf6\u8056, \u798f\u7530\u5927\u7fd4, \u6e21\u8fba\u88d5: \u201c\u9aa8\u683c\u306e\u5de6\u53f3\u5bfe\u79f0\u6027\u3092\u8003\u616e\u3057\u305f3\u6b21\u5143\u59ff\u52e2\u63a8\u5b9a\u6cd5\u306e\u691c\u8a0e\u201c, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7b2c120\u56de\u30aa\u30fc\u30c7\u30a3\u30aa\u30d3\u30b8\u30e5\u30a2\u30eb\u8907\u5408\u60c5\u5831\u51e6\u7406\u7814\u7a76\u4f1a, Vol.2023-AVM-120, No.4, pp.1-2 Mar. 2023.<\/li>\n<li>\u8db3\u7acb\u7fd4\u5e73, \u6728\u8c37\u4f73\u9686, \u6cb3\u6751\u572d, \u6e21\u8fba\u88d5: \u201dV-PCC\u30a8\u30f3\u30b3\u30fc\u30c0\u306b\u304a\u3051\u308b\u30c6\u30af\u30b9\u30c1\u30e3\u753b\u50cf\u306e\u30d1\u30c3\u30c1\u9593\u5e73\u6ed1\u5316\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u753b\u50cf\u5de5\u5b66\u7814\u7a76\u4f1a(IE) \u62db\u5f85\u8b1b\u6f14, Feb. 2023.<\/li>\n<li>\u9032\u85e4\u5d69\u7d18, \u6e21\u90e8\u6cf0\u6a39, \u6e21\u8fba\u88d5: \u201c\u7b26\u53f7\u5316\u96d1\u97f3\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u7269\u4f53\u691c\u51fa\u7cbe\u5ea6\u306e\u6539\u5584\u624b\u6cd5\u201c, 2022\u5e74\u753b\u50cf\u7b26\u53f7\u5316\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30fb2022\u5e74\u6620\u50cf\u30e1\u30c7\u30a3\u30a2\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08PCSJ\/IMPS2022), P1-01, Nov. 2022<\/li>\n<li>\u8db3\u7acb\u7fd4\u5e73, \u6728\u8c37\u4f73\u9686, \u6cb3\u6751\u572d, \u6e21\u8fba\u88d5: \u201cV-PCC\u30a8\u30f3\u30b3\u30fc\u30c0\u306b\u304a\u3051\u308b\u30c6\u30af\u30b9\u30c1\u30e3\u753b\u50cf\u306e\u30d1\u30c3\u30c1\u9593\u5e73\u6ed1\u5316\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\u201c, 2022\u5e74\u753b\u50cf\u7b26\u53f7\u5316\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30fb2022\u5e74\u6620\u50cf\u30e1\u30c7\u30a3\u30a2\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08PCSJ\/IMPS2022), P2-09, Nov. 2022 (Best Poster Award)<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u5927\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u8db3\u7acb\u7fd4\u5e73, \u6e21\u8fba\u88d5: \u201c\u9aa8\u683c\u60c5\u5831\u306b\u57fa\u3065\u304f\u52d5\u4f5c\u5bfe\u5fdc\u4ed8\u3051\u306e\u51e6\u7406\u91cf\u524a\u6e1b\u306b\u5411\u3051\u305f\u30d5\u30ec\u30fc\u30e0\u524a\u6e1b\u624b\u6cd5\u306e\u691c\u8a0e\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-12-42, Mar. 2023.<\/li>\n<li>\u98ef\u91ce\u666f, \u9ad8\u6a4b\u7f8e\u7a42, \u6e21\u8fba\u88d5, \u6c5f\u7530\u6bc5\u6674, \u698e\u672c\u6607\u5e73, \u5742\u672c\u5553, \u53f2\u65ed, \u68ee\u6c38\u4e00\u8def: \u201c\u7279\u5fb4\u91cf\u5727\u7e2e\u30e2\u30c7\u30eb\u3078\u306e\u6ce8\u610f\u6a5f\u69cb\u5c0e\u5165\u306e\u691c\u8a0e\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-11-12, Mar. 2023.<\/li>\n<li>\u9032\u85e4\u5d69\u7d18, \u6e21\u90e8\u6cf0\u6a39, \u6e21\u8fba\u88d5: \u201cVVC\u3068CNN\u3092\u7d44\u307f\u5408\u308f\u305b\u305fYOLO-v7\u306e\u305f\u3081\u306e\u6620\u50cf\u7b26\u53f7\u5316\u624b\u6cd5\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-11-9, Mar. 2023.<\/li>\n<li>\u6749\u5c71\u79c0\u6cbb, \u6e21\u8fba\u88d5: \u201c\u76ee\u306e\u7279\u5fb4\u91cf\u3092\u4ed8\u4e0e\u3057\u305f\u30a2\u30d4\u30a2\u30e9\u30f3\u30b9\u30d9\u30fc\u30b9\u306e\u8996\u7dda\u63a8\u5b9a\u30e2\u30c7\u30eb\u306e\u691c\u8a0e\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-12-52, Mar. 2023.<\/li>\n<li>\u4e2d\u5c71\u5149\u5178, \u539f\u6f64\u4e00, \u6e21\u8fba\u88d5: \u201c\u5c40\u6240\u5e7e\u4f55\u69cb\u9020\u3092\u8003\u616e\u3057\u305f\u70b9\u7fa4\u306e\u5916\u308c\u5024\u691c\u51fa\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-12-35, Mar. 2023.<\/li>\n<li>\u798f\u7530\u5927\u7fd4, \u4e2d\u5cf6\u8056, \u6e21\u8fba\u88d5: \u201c\u9aa8\u683c\u7d76\u5bfe\u9577\u3092\u8003\u616e\u3057\u305f\u4e09\u6b21\u5143\u59ff\u52e2\u63a8\u5b9a\u6cd5\u306e\u691c\u8a0e\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-12-67, Mar. 2023.<\/li>\n<li>\u77e2\u91ce\u793c\u7f8e\u83dc, \u5289\u97de, \u6e21\u8fba\u88d5, \u9234\u6728\u62d3\u77e2, \u8303\u54f2\u9298, \u4e2d\u689d\u5065, \u732a\u98fc\u77e5\u5b8f: \u201c\u7b26\u53f7\u5316\u6620\u50cf\u306e\u30d6\u30ed\u30c3\u30af\u5206\u5272\u3092\u7528\u3044\u305f\u8d85\u89e3\u50cf\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u691c\u8a0e\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-11-10, Mar. 2023.<\/li>\n<li>\u6e21\u90e8\u6cf0\u6a39, \u9032\u85e4\u5d69\u7d18, \u6e21\u8fba\u88d5: \u201cYOLOV\u3092\u7528\u3044\u305f\u7269\u4f53\u4e88\u6e2c\u691c\u51fa\u306e\u4e00\u691c\u8a0e\u201c, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a, D-11-11, Mar. 2023.<\/li>\n<li>Fei Bao, Hiroshi Watanabe: \u201cResearch on Video Captioning with a Late Fusion Based Multimodal Transformer Network,\u201d IPSJ National Convension, IQ-08, pp.2-195-196, Mar. 2023.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u4f1a\u6d3b\u52d5\u30fb\u5b66\u4f1a\u6d3b\u52d5 Social Activity and Acadeimic Society Activity<\/strong>\n<ul>\n<li>PSSJ\u904b\u55b6\u59d4\u54e1\u4f1a\u59d4\u54e1, 2022-2024.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8868\u5f70 Award<\/strong>\n<ul>\n<li>\u6e21\u8fba\u88d5, \u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u30d5\u30a7\u30ed\u30fc, 2022\u5e745\u6708.<\/li>\n<li>Hiroshi Watanabe, IEEE Life Member, Jan. 2023.<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7279\u8a31 Patent<\/strong>\n<ul>\n<li>\u300c\u52d5\u753b\u50cf\u7b26\u53f7\u5316\u88c5\u7f6e\u3001\u5fa9\u53f7\u88c5\u7f6e\u300d(\u30b7\u30e3\u30fc\u30d7\u5171\u540c\u51fa\u9858\uff09\u4e2d\u689d\u5065\u3001\u732a\u98fc\u77e5\u5b8f, \u9234\u6728\u62d3\u77e2\u3001\u8303\u54f2\u9298\u3001\u6e21\u8fba\u88d5, 2022\u5e7410\u6708<\/li>\n<li>\u300c\u691c\u77e5\u88c5\u7f6e\u3001\u691c\u77e5\u65b9\u6cd5\u304a\u3088\u3073\u691c\u77e5\u30d7\u30ed\u30b0\u30e9\u30e0\u300d\uff08NTT\u5171\u540c\u51fa\u9858\uff09\u53f2\u65ed\u3001\u698e\u672c\u6607\u5e73\u3001\u5742\u672c\u5553\u3001\u6c5f\u7530\u6bc5\u6674\u3001\u68ee\u6c38\u4e00\u8def\u3001\u6e21\u8fba\u88d5\u30012023\u5e742\u6708<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Kazue SAKO --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100002024_ja.html\">\u4f50\u53e4\u3000\u548c\u6075 \u6559\u6388\uff08\u4efb\u671f\u4ed8\uff09 Kazue SAKO, Professor(without tenure)<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Yamamoto, Suga and Sako,\u201cFormalising Linked-Data based Verifiable Credentials for Selective Disclosure\u201d, Genoa\uff0cSecurity Standardisation Research Conference 2022\uff08\u56fd\u969b\u4f1a\u8b70EuroS&amp;P\u4f75\u8a2d\uff092022\uff0e6\uff0e6-10, 2022<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u5185\u7814\u7a76\u4f1a Domestic technical meeting<\/strong>\n<ul>\n<li>\u5c71\u672c\uff0c\u9808\u8cc0\uff0c\u4f50\u53e4\uff0c\u201czk-SPARQL: SPARQL\u30af\u30a8\u30ea\u306b\u5bfe\u3057\u3066\u691c\u8a3c\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u4fdd\u8b77\u304c\u53ef\u80fd\u306a\u7d50\u679c\u3092\u8fd4\u3059\u30d1\u30fc\u30bd\u30ca\u30ebRDF\u30c7\u30fc\u30bf\u30b9\u30c8\u30a2\u201dSCIS2023 2B1-2<\/li>\n<li>\u6e21\u9089\u30fb\u4f50\u53e4\u30fb\u5c71\u672c\u300cBBS+\u7f72\u540d\u3092\u7528\u3044\u305fHolder-Binding\u6a5f\u80fd\u4ed8\u304dVerifiable Credential\u306e\u8a8d\u8a3c\u65b9\u6cd5\u300dSCIS2023 2B1-4<\/li>\n<li>\u4e38\u5c71\u30fb\u6c5f\u53e3\u30fb\u8fd1\u85e4\u30fb\u4e0a\u91ce\u30fb\u6e21\u9089\u30fb\u4f50\u53e4\u300c\u8d85\u591a\u6570\u30fb\u591a\u7a2e\u79fb\u52d5\u4f53\u306b\u3088\u308b\u7269\u6d41\u306b\u5411\u3051\u305fVerifiable Credential\u3092\u7528\u3044\u305f\u79fb\u52d5\u4f53\u8a8d\u8a3c\u30d7\u30ed\u30c8\u30b3\u30eb\u8a2d\u8a08\u300dSCIS2023 3A4-2<\/li>\n<li>\u6c5f\u53e3\u30fb\u4f50\u53e4\u30fb\u67f4\u7530\u30fb\u4f50\u85e4\uff08\u4fca\uff09\u30fb\u4f50\u85e4\uff08\u62d3\uff09\u300cBLS\u7f72\u540d\u306b\u3088\u308bLPWA\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u306e\u5206\u6563\u53f0\u5e33\u6c7a\u6e08\u30b7\u30b9\u30c6\u30e0\u306e\u901a\u4fe1\u30c7\u30fc\u30bf\u9577\u6539\u5584\u306e\u8a55\u4fa1\u300dSCIS2023 1D2-3<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Tomomi KITO --><\/p>\n<p><!-- Jiang LIU --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001045_ja.html\">\u5289\u3000\u6c5f \u51c6\u6559\u6388 Jiang LIU, Associate Professor<\/a><\/strong>\n<ul>\n<li><b>\u5d8b\u672c\u6559\u6388\u5206\u3092\u53c2\u7167\u306e\u3053\u3068<\/b><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Takuro SATO --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000058_ja.html\">\u4f50\u85e4\u3000\u62d3\u6717 \u7279\u4efb\u7814\u7a76\u6559\u6388 Takuro SATO, Senior Research Professor<\/a><\/strong>\n<ul>\n<li><strong>\u8ad6\u6587 Thesis<\/strong>\n<ul>\n<li>Xin Qi, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Keping Yu, Toshio Sato, Kouichi Shibata, Isao Konno, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako and Takuro Sato \u201cDesign and Implementation of Ledger-Based Points Transfer System for IoT Devices in LPWAN,\u201dVol.2022. Hindawi Limited Wireless Communications and Mobile Computing, Aug.19,2022,<\/li>\n<li>Zheng Wen, Keping Yu, Xin Qi, Toshio Sato,San Hlaing Myint, Kazuhiko Tamesue, Yutaka Katsuyama, Hironori Dobashi, Yasushi Murakami, Ikuo Koyama, Kiyohito Tokuda, Wataru Kameyama and Takuro Sato \u201cAI-Based W-Band Suspicious Object Detection System for Moving Persons: Two-Stage Walkthrough Configuration and Recognition Optimization,\u201dVol.2022. Hindawi Limited Wireless Communications and Mobile Computing, Jun.10,2022<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u56fd\u969b\u4f1a\u8b70 International Conference<\/strong>\n<ul>\n<li>San Hlaing Myint, Kazuhiko Tamesue, Kunihisa Jitsuno, Toshio Sato, Takuro Sato, Tetsuya Kawanishi,\u201cDigital Predistortion for THz RF Power Amplifier with 16-APSK Modulation in Non-Terrestrial-Networks\u201d, 2022 International Conference on Emerging Technologies for Communications (ICETC 2022), Dec. 1, 2022.<\/li>\n<li>Kazuhiko Tamesue, Seiji Nishi, San Hlaing Myint, Zheng Wen, Toshio Sato, Takuro Sato and Tetsuya Kawanishi, \u201c300GHz Indoor Propagation Measurement, Simulation and Characterization\u201d, IEEE 2022 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (IEEE MAPE 2022), Aug. 27, 2022.<\/li>\n<li>Kazuhiko Tamesue, San Hlaing Myint, Kunihisa Jitsuno, Toshio Sato, Takuro Sato, Tetsuya Kawanishi, &#8220;Scheme Design for High-Throughput Terahertz feeder link in Non-Terrestrial-Networks&#8221;, The 41st JSST Annual International Conference on Simulation Technology, 2022. 9. 1.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Jun WU --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100003146_ja.html\">\u4f0d\u3000\u8ecd \u6559\u6388\uff08\u4efb\u671f\u4ed8\uff09 Jun WU, Professor(non-tenure-track)<\/a><\/strong><\/li>\n<\/ul>\n<p><!-- Xiaoling DOU --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001247_ja.html\">\u7ac7\u3000\u6681\u73b2 \u51c6\u6559\u6388\uff08\u30c6\u30cb\u30e5\u30a2\u30c8\u30e9\u30c3\u30af\uff09 Xiaoling DOU, Associate Professor(tenure-track)<\/a><\/strong><\/li>\n<\/ul>\n<p><!-- Kenji KANAI --><\/p>\n<p><!-- Megumi SAITO --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001460_ja.html\">\u9f4b\u85e4\u3000\u6075 \u8b1b\u5e2b\uff08\u4efb\u671f\u4ed8\uff09 Megumi SAITO, Assistant Professor(without tenure)<\/a><\/strong>\n<ul>\n<li><b>\u5d8b\u672c\u6559\u6388\u5206\u3092\u53c2\u7167\u306e\u3053\u3068<\/b><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- Zhenni PAN --><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001242_ja.html\">\u30d1\u30f3\u3000\u30b8\u30a7\u30cb\u30fc \u8b1b\u5e2b\uff08\u4efb\u671f\u4ed8\uff09 Zhenni PAN, Assistant Professor(without tenure)<\/a><\/strong>\n<ul>\n<li><b>\u5d8b\u672c\u6559\u6388\u5206\u3092\u53c2\u7167\u306e\u3053\u3068<\/b><\/li>\n<li><\/li>\n<\/ul>\n<\/li>\n<li><strong><a href=\"https:\/\/w-rdb.waseda.jp\/html\/100001684_ja.html\">\u6587\u3000\u912d \u8b1b\u5e2b\uff08\u4efb\u671f\u4ed8\uff09 Zheng WEN, Assistant Professor(without tenure)<\/a><\/strong><\/li>\n<\/ul>\n<h2 class=\"page-header-title\"><span class=\"global-bdcolor-dark\">\u7814\u7a76\u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u5831\u544a<small>\u00a0Report of Research Development Project<\/small><\/span><\/h2>\n<ul>\n<li><a href=\"https:\/\/www.waseda.jp\/fsci\/giti\/other\/2023\/07\/06\/1494\/\">ART @ HOME \u30ab\u30f3\u30dc\u30b8\u30a2\u521d\u306e\u5b50\u3069\u3082\u5411\u3051\u30aa\u30f3\u30e9\u30a4\u30f3\u7f8e\u8853\u6559\u80b2\u30b3\u30f3\u30c6\u30f3\u30c4\u958b\u767a<\/a><\/li>\n<\/ul>\n<h2 class=\"page-header-title\"><span class=\"global-bdcolor-dark\">\u4ed8\u9332\u00a0<small>Appendix<\/small><\/span><\/h2>\n<ul>\n<li>\u5927\u5b66\u9662\u56fd\u969b\u60c5\u5831\u901a\u4fe1\u7814\u7a76\u79d1\u30fb\u56fd\u969b\u60c5\u5831\u901a\u4fe1\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\u69cb\u6210\u54e1\u4e00\u89a7<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u696d\u7e3e\u4e00\u89a7\u00a0Achievements and Social Activities of Faculty Members \u7b20\u4e95 \u88d5\u4e4b \u6559\u6388 Hiroyuki Kasai, Professor \u56fd\u969b\u4f1a\u8b70 Internation [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-1659","post","type-post","status-publish","format-standard","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/posts\/1659","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/comments?post=1659"}],"version-history":[{"count":1,"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/posts\/1659\/revisions"}],"predecessor-version":[{"id":1675,"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/posts\/1659\/revisions\/1675"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/media?parent=1659"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/categories?post=1659"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/giti\/wp-json\/wp\/v2\/tags?post=1659"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}