Global Information and Telecommunication Institute早稲田大学 国際情報通信研究センター

  2. 2021-2022 GITI Research Bullet...

2021-2022 GITI Research Bulletin on the Web

業績一覧 Achievements and Social Activities of Faculty Members

  • 笠井 裕之 教授 Hiroyuki Kasai, Professor
    • 論文 Thesis
      • Jianming Huang, Zhongxi Fang, Hiroyuki Kasai, “LCS graph kernel based on Wasserstein distance in longest common subsequence metric space”, Vol.189, 108281, Signal Processing, pp.1-13, 2021.12.[Abstract]
        For graph learning tasks, many existing methods utilize a message-passing mechanism where vertex features are updated iteratively by aggregation of neighbor information. This strategy provides an efficient means for graph features extraction, but obtained features after many iterations might contain too much information from other vertices and tend to be similar to each other. This makes their representations less expressive. Learning graphs using paths, on the other hand, can be less adversely affected by this problem because it does not involve all vertex neighbors. However, most of them can only compare paths with the same length, which might engender information loss. To resolve this difficulty, we propose a new Graph Kernel based on a Longest Common Subsequence (LCS) similarity. Moreover, we found that the widely-used -convolution framework is unsuitable for path-based Graph kernels because a huge number of comparisons between dissimilar paths might deteriorate graph distance calculation. Therefore, we propose a novel metric space by exploiting the proposed LCS-based similarity, and compute a new Wasserstein-based graph distance in this metric space, which emphasizes the comparison between similar paths. Furthermore, to reduce the computational cost, we propose an adjacent point merging operation to sparsify point clouds in the metric space.
    • 国際会議 International Conference
      • Jianming Huang, Hiroyuki Kasai, “Graph embedding using multi-layer adjacent point merging model,” IEEE 46th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021, 2021.6.
    • 著書 Book
      • Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra, “A Riemannian approach to low-rank tensor learning (Chapter 4)”, Tensors for Data Processing, Elsevier, 2021.10.

  • 甲藤　二郎 教授 Jiro KATTO, Professor
    • 論文 Thesis
      • Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng and Yibo Fan: “An Efficient Low-Complexity Convolutional Neural Network Filter,” IEEE Multimedia, Mar.2022.
      • Hidehiro Kanemitsu, Kenji Kanai, Jiro Katto & Hidenori Nakazato: “A containerized task clustering for scheduling workflows to utilize processors and containers on clouds,” Journal of Supercomputing, Apr.2021.
    • 国際会議 International Conference
      • Joi Shimizu, Heming Sun and Jiro Katto: “Forward and Backward Warping for Optical FlowBased Frame Interpolation,” ICAIIC 2022, Feb.2022
      • Shota Hirose, Naoki Wada, Jiro Katto and Heming Sun: “Research and examination on implementation of super-resolution models using deep learning with INT8 precision,” ICAIIC 2022, Feb.2022.
      • Jinming Liu, Heming Sun and Jiro Katto: “Learning in Compressed Domain for Faster Machine Vision Tasks,” IEEE VCIP 2021, Dec.2021.
      • Bo Wei, Hang Song and Jiro Katto: “Adaptive Video Transmission Strategy Based on Ising Machine,” ACM SenSys 2021, Nov.2021.
      • Suphakit Awiphan, Jakramate Bootkrajang, Kanin Poobai and Jiro Katto: “Mitigating Cold Start Problem of Experience-Based Adaptive Streaming in NDN,” IEEE GCCE 2021, Oct.2021.
      • Xin Wang, Heming Sun, Jiro Katto, Yibo Fan: “A Hardware Architecture for Adaptive Loop Filter in VVC Decoder,” IEEE ASICON 2021, Oct.2021.
      • Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Heming Sun, Jiro Katto: “Deep Pedestrian Density Estimation for Smart City Monitoring,” IEEE ICIP 2021, Sep.2021.
      • Liuhong Chen, Heming Sun, Jiro Katto, Xiaoyang Zeng and Yibo Fan: “Fast Object Detection in HEVC Intra Compressed Domain,” EUSIPCO 2021, Aug.2021.
      • Heming Sun, Lu Yu and Jiro Katto: “Learned Image Compression with Fixed-point Arithmetic,” PCS 2021, June 2021.
      • Bo Wei, Hang Song and Jiro Katto: “High-QoE DASH Live Streaming using Reinforcement Learning,” IEEE IWQoS 2021, poster, June 2021.
      • Shota Hirose, Naoki Wada, Jiro Katto and Heming Sun: “ViT-GAN: Using Vision Transformer as Discriminator with Adaptive Data Augmentation,” IEEE ICCCI 2021, June 2021.
      • Bo Wei, Hang Song and Jiro Katto: “FRAB: A Flexible Relaxation Method for Fair, Stable, Efficient Multi-user DASH Video Streaming,” IEEE ICC 2021, June 2021.
      • Yixuan Zeng; Heming Sun; Jiro Katto; Yibo Fan: “Approximated Reconfigurable Transform Architecture for VVC,” IEEE ISCAS 2021, May.2021.
      • Yixuan Zeng, Heming Sun, Jiro Katto, Yibo Fan: “Accelerating Convolutional Neural Network Inference Based on a Reconfigurable Sliced Systolic Array,” IEEE ISCAS 2021, May.2021.
    • 国内研究会 Domestic technical meeting
      • 中条夢佳・金井謙治・甲藤二郎: “HoloLensを用いた点群ストリーミングの実装とその性能評価,” 電子情報通信学会SeMI研究会, Mar.2022.
      • 牧　しほり・金井謙治・廣瀬翔太・孫　鶴鳴・甲藤二郎: “点群分類モデルに対するオクルージョンを考慮したデータ拡張手法の精度評価,” 電子情報通信学会SeMI研究会, Mar.2022.
      • 和田直己・廣瀬翔太・Heming Sun・甲藤二郎: “アンサンブルモデルによる道路損傷検出,” 電子情報通信学会IE研究会, Jan.2022.
      • 廣瀬翔太・和田直己・孫　鶴鳴・甲藤二郎: “深層学習超解像モデルのINT8実装における精度改善に有効な手法の調査,” 電子情報通信学会IE研究会, Jan.2022.
      • 清水 盛偉，孫 鶴鳴，甲藤 二郎: “順方向・逆方向ワーピングによるフレーム補間,” PCSJ/IMPS 2021, Nov.2021.
      • Liu Jinming，Sun Heming，Katto Jiro: “Learning in Compressed Domain for Faster Machine Vision Tasks,” PCSJ/IMPS 2021, Nov.2021.
      • 廣瀬 翔太，和田 直己，孫 鶴鳴，甲藤 二郎: “深層学習を利用した超解像のINT8実装に関する調査と考察,” PCSJ/IMPS 2021, Nov.2021.
      • 村山知輝・金井謙治・竹内　健・孫　鶴鳴・甲藤二郎: “360度カメラを利用した歩行者レーダーマップシステム,” 電子情報通信学会SeMI研究会, July 2021.
      • 清水盛偉・孫　鶴鳴・甲藤二郎: “オプティカルフロー予測における多項式関数の検討,” 電子情報通信学会IE研究会, June 2021.
      • 小松蒔遠・清水盛偉・孫　鶴鳴・甲藤二郎: “超解像ネットワークを用いた符号化ひずみ低減に関する検討,” 電子情報通信学会IE研究会, June 2021.
    • 国内大会 Domestic technical meeting
      • 甲藤二郎、金井謙治、孫鶴鳴、魏博、勝山裕、文鄭、中村裕一、近藤一晃、下西慶、小野浩司、根波健一、青木智資、片野淳一、吉岡修一、作中剛、小林康雄、小沢基一、秋田純一: “低遅延でインタラクティブなゼロレイテンシー映像・Somatic統合ネットワーク,” 電子情報通信学会総合大会, Mar.2022.
      • 勝山裕、文鄭、金井謙治、孫鶴鳴、魏博、甲藤二郎: “低遅延でインタラクティブなゼロレイテンシー映像・Somatic統合ネットワーク－映像情報とSomatic情報の未来予測と統合技術－,” 電子情報通信学会総合大会, Mar.2022.
      • 佐藤俊雄・文　鄭・竹内　健・爲末和彦・勝山　裕・佐古和恵・甲藤二郎・佐藤拓朗: “信頼性の高い位置情報獲得のための偽装データの検出,” 電子情報通信学会総合大会, Mar.2022.
      • Heming Sun・Jiro Katto: ”Quantizing Learned Image Compression with Channel Splitting,” 電子情報通信学会総合大会, Mar.2022.
      • Jinming Liu・Heming Sun・Jiro Katto: “Improving Machine Vision Task based on Compressed Domain by Channel Selection,” 電子情報通信学会総合大会, Mar.2022.
      • Ao LUO・Heming SUN・Jinming LIU・Jiro KATTO: “Lightweight Hyperprior Module for Learned Image Compression,” 電子情報通信学会総合大会, Mar.2022.
      • Kasidis Arunruangsirilert・Bo Wei・Jiro Katto: “Evaluation of MPEG-DASH Response Time on Commercial 5G Network,” 電子情報通信学会総合大会, Mar.2022.
      • 佐野優斗・魏　博・宋　航・甲藤二郎: “Q学習を用いた適応レート制御手法の検討,” 電子情報通信学会総合大会, Mar.2022.
      • 清水盛偉，孫　鶴鳴，甲藤二郎: “フレーム補間における順方向・逆方向ワーピングの活用,” 情報処理学会全国大会, Mar.2022.
      • 林　方正，孫　鶴鳴，甲藤二郎: “A high performance implementation of a factorized-prior image compression model,” 情報処理学会全国大会, Mar.2022.
      • 魏　博・甲藤二郎: “強化学習を用いたDASHライブ動画配信制御,” 電子情報通信学会ソサイエティ大会、Sep.2021.
      • 佐野優斗・魏　博・宋　航・甲藤二郎: “4K映像配信におけるバッファ容量に基づくレート制御の性能評価,” 電子情報通信学会ソサイエティ大会、Sep.2021.
      • Bo Wei・Jiro Katto: “Throughput prediction of mmWave for 5G network,” 電子情報通信学会ソサイエティ大会、Sep.2021.
    • 表彰 Award
      • Joi Shimizu, Heming Sun and Jiro Katto: Best Paper Award, ICAIIC 2022, Feb.2022.
    • 社会活動・学会活動 Social Activity and Acadeimic Society Activity
      • 総務省・放送システム委員会 専門委員
      • 日本学術振興会・学術システム研究センター 専門研究員

  • 亀山　渉 教授 Wataru KAMEYAMA, Professor
    • 論文 Thesis
      • Hiroki ONO, Mutsumi SUGANUMA, Wataru KAMEYAMA, “Comic readers’ emotion estimation using bio-signals by supervised and unsupervised learnings,” IEICE Communications Express, 2021 Vol.10, No.10, pp.828-833, 2021年10月.
    • 国際会議 International Conference
      • Nanami TANIZAWA, Mutsumi SUGANUMA, Wataru KAMEYAMA, “Estimating Music Listener’s Emotion from Bio-signals with EEG Denoising and for Unlearned Music Pieces,” 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), Oct. 12-15, 2021, Kyoto, Japan, pp.101-102, 2021年10月
      • Yutaka Katsuyama, Keping Yu, Toshio Sato, Xin Qi, Zheng Wen, Kazuhiko Tamesue, Kiyohito Tokuda, Wataru Kameyama, Takuro Sato, Anh H. Dang, “AI-based system using a W-band hybrid imaging radar for identifying suspicious objects in a public walking environment,” The 24th International Symposium on Wireless Personal Multimedia Communications (WPMC 2021), Dec. 14-16, 2021, Okayama, Japan, pp.183-187, 2021年12月
      • Yuan CHANG, Wataru KAMEYAMA, “Driver Drowsiness Detection by Multi-task and Transfer Learning”, 2022 International Workshop on Advanced Image Technology (IWAIT), No.6, Jan. 4-6, Hong Kong, 2022年1月
      • Kanato SAKAMA, Shunichi SEKIGUCHI, Wataru KAMEYAMA, “Performance Analysis of Generated Predictive Frames Using PredNet Bi-directionally,” 2022 International Workshop on Advanced Image Technology (IWAIT), No.7, Jan. 4-6, Hong Kong, 2022年1月
    • 国内大会 Domestic technical meeting
      • 井上 竜一, 菅沼 睦, 亀山 渉, “生体情報を用いたショート動画視聴者のランダムフォレストによる感情分類と推定,” 電子情報通信学会, HCGシンポジウム 2021, A-1-4, 2021年12月
      • 黒澤 康介, 菅沼 睦, 亀山 渉, “高次元アンケートデータに対する特異的回答の効率的な検出法に関する比較検討,” 電子情報通信学会, HCGシンポジウム 2021, A-6-6, 2021年12月
      • 大池 健太郎, 菅沼 睦, 亀山 渉, “可変ビットレート動画像視聴時の生体情報を用いたQoE推定,” 信学技報, Vol.121, No.421, CQ2021-109, pp.49-54, 2022年3月
      • 三品 翔太郎, 菅沼 睦, 亀山 渉, “視聴コンテクストを考慮した実環境下におけるスマートフォン使用者の生体情報による主観動画像品質推定,” 信学技報, Vol.121, No.421, CQ2021-110, pp.55-60, 2022年3月
      • 谷澤 七海, 菅沼 睦, 亀山 渉, “生体情報を用いた楽曲聴取者の感情推定における未学習楽曲の推定精度向上に関する検討,” 信学技報, Vol.121, No.421, CQ2021-118, pp.100-105, 2022年3月
      • 北川 裕馬, 菅沼 睦, 亀山 渉, “生体情報とテキスト解析を用いた投稿閲覧時におけるSNSユーザの感情推定に関する検討,” 信学技報, Vol.121, No.421, CQ2021-119, pp.106-111, 2022年3月
      • 松本 真奈, 大池 健太郎, 菅沼 睦, 亀山 渉, “Autoencoderと生体情報を用いた可変ビットレート動画像に対するQoE推定に関する検討,” 2022年電子情報通信学会総合大会, B-11-17, 2022年3月
      • 生駒 菜々子, 菅沼 睦, 亀山 渉, “スマートフォンのセンサデータと心拍データを用いた室内動画視聴時におけるユーザの姿勢推定の検討,” 2022年電子情報通信学会総合大会, B-11-18, 2022年3月
      • 西村 洋輝, 関口 俊一, 亀山 渉, “PredNetによるマルチステップフレーム予測とその評価に関する検討,” 2022年電子情報通信学会総合大会, D-11-39, 2022年3月
      • 徐 馳, 菅沼 睦, 亀山 渉, “感情単語ベクトルと歌詞ベクトルの類似度による日本語歌詞楽曲のムード分類の検討,” 2022年電子情報通信学会総合大会, D-12-28, 2022年3月
      • 齊藤 恵里香, 亀山 渉, 佐藤 俊雄, 勝山 裕, 佐藤 拓朗, “パッシブイメージャ画像とアクティブイメージャ画像を利用した不審物検知手法の評価,” 2022年電子情報通信学会総合大会, D-12-31, 2022年3月
      • 井上 菜穂, 菅沼 睦, 亀山 渉, “ジョイスティックを用いたリアルタイム感情取得と学習データ数増加による映像視聴者の感情推定の推定精度向上に関する検討,” 2022年電子情報通信学会総合大会, H-2-1, 2022年3月
      • 桝谷 亜美, 谷澤 七海, 菅沼 睦, 亀山 渉, “NMFによる生体信号を用いた楽曲聴取者の感情推定に関する検討,” 2022年電子情報通信学会総合大会, H-2-2, 2022年3月
    • その他 Else
      • 亀山 渉, “MHEG -マルチメディア・ハイパーメディア符号化標準-,” 画像電子学会誌, Vol.51, No.1, pp.77-81, 2022年1月

  • 川西　哲也 教授 Tetsuya KAWANISHI, Professor
    • 論文 Thesis
      • ZU-KAI WENG, ATSUSHI KANNO, PHAM TIEN DAT, KEIZO INAGAKI, KOSUKE TANABE, EISAKU SASAKI, THOMAS KÜRNER, BO KUM JUNG, AND TETSUYA KAWANISHI,”Terahertz Fixed Wireless Link Budget Evaluation for Extreme Weather Conditions”, vol. 9, pp. 163476-163491, 2021（令和３年１２月１日）[Abstract]ミリ波・テラヘルツ波を用いた固定無線システム伝送特性に対する降雨・強風の影響モデル化し、悪天候時の性能の指針を示した。
    • 国際会議 International Conference
      • Tomohiko Kaynaya, Shintaro Takada, Riku Yoshino, Kunihisa Jitsuno, Keizo Inagaki, Tetsuya Kawanishi, “Comparison of Radar Range Resolution in the 30, 60, and 90 GHz Bands”, 2nd Thailand-Japan MicroWave (TJMW) Student workshop（令和３年１２月７日）
      • Satomi Masuda, Zhou Zhongqi, Maiko Kitamura, Mao Morishita, Keizo Inagaki, Atsushi Kanno, Kunihisa Jitsuno, Tetsuya Kawanishi, “Experimental Study of In-Vehicle Secondary Radar to Detect a Pedestrian in NLOS”, 2nd Thailand-Japan MicroWave (TJMW) Student workshop（令和３年１２月７日）
      • Riku Yoshino, Tomohiko Kanaya, Shintaro Takada, Jitsuno Kunihisa, Keizo Inagaki, Tetsuya Kawanishi, “Modeling and experimental study of W-band millimeter-wave scattering from slightly rough surfaces”, 2nd Thailand-Japan MicroWave (TJMW) Student workshop（令和３年１２月７日）
      • Tetsuya Kawanishi, Terahertz communication systems for future access networks”, The 14th Regional Conference on Electrical and Electronics Engineering (RC-EEE 2021)（令和４年１月６日）
      • Tetsuya Kawanishi, The International Electrical Engineering Congress (IEECON 2022)（令和４年３月１０日）
    • 国内研究会 Domestic technical meeting
      • 金谷智彦, 高田慎太郎, 吉野理玖, 実野邦久, 稲垣恵三, 川西哲也, “広帯域伝搬特性評価に向けたミリ波帯レーダ特性校正についての一検討”, 電子情報通信学会マイクロ波・ミリ波フォトニクス研究会（令和４年１月２７日）
      • 吉野理玖, 金谷智彦, 高田慎太郎, 実野邦久, 稲垣恵三, 川西哲也, “不規則表面からのミリ波帯散乱実験のモデル化”, 電子情報通信学会マイクロ波・ミリ波フォトニクス研究会（令和４年１月２７日）
      • 増田聡洋, 周中棋, 北村麻衣子, 森下真欧, 実野邦久, 稲垣惠三, 菅野敦史, 川西哲也, “見通し外の歩行者を検知する車載2次レーダシステムの実測実験に基づく技術検討”, 電子情報通信学会マイクロ波・ミリ波フォトニクス研究会（令和４年１月２７日）
    • 国内大会 Domestic technical meeting
      • 川西哲也, “テラヘルツ・光融合通信システムの研究動向”, 電子情報通信学会総合大会（令和４年３月１５日）
      • 川西哲也, “テラヘルツ通信の研究動向と技術課題”, 電子情報通信学会総合大会（令和４年３月１７日）
      • 川西哲也,爲末和彦,実野邦久,佐藤俊雄,佐藤拓朗,西堀俊幸,山中宏治, “THz 帯 NTN 通信システムの設計”, 電子情報通信学会総合大会（令和４年３月１８日）
    • 著書 Book
      • T Kawanishi, “Electro-optic Modulation for Photonic Networks: Precise and high-speed control of lightwaves”, Springer Nature 2022年1月
      • T Kawanishi, S Hisatake, Section on “ThoR” in “THz Communications”, 413-415, Springer Nature 2022年1月

  • 河原 大輔 教授 Daisuke Kawahara, Professor
    • 論文 Thesis
      • Qianying Liu, Wenyu Guan, Sujian Li, Fei Cheng, Daisuke Kawahara, and Sadao Kurohashi, “RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.30, pp.1-11, 2021.11.[Abstract]
        Automatically solving math word problems is a critical task in the field of natural language processing. Recent models have reached their performance bottleneck and require more high-quality data for training. We propose a novel data augmentation method that reverses the mathematical logic of math word problems to produce new high-quality math problems and introduce new knowledge points that can benefit learning the mathematical reasoning logic. We apply the augmented data on two SOTA math word problem solving models and compare our results with a strong data augmentation baseline. Experimental results show the effectiveness of our approach (we release our code and data at https://github.com/yiyunya/RODA).
      • 田中佑, 村脇有吾, 河原大輔, 黒橋禎夫, “日本語Wikipediaの編集履歴に基づく入力誤りデータセットと訂正システムの構築”, 自然言語処理 Vol.28, No.4, pp.995-1033, 2021年12月.[Abstract]
        文章執筆時に発生する誤字などの入力誤りは，解析誤りを誘発するため，入力誤り訂正を行うシステムは重要である．入力誤り訂正システムの実現には，学習データとして多量の入力誤りとその訂正ペアが必要であるが，公開されている十分なサイズを持つ日本語入力誤りデータセットは存在しない．これまで，Wikipedia の編集履歴からフランス語などで入力誤りデータセットが構築されてきた．先行研究の手法は，編集のあった単語の特定を必要とするため，単語分割が必要な日本語に直接の適用はできない．本研究では，Wikipedia の編集履歴から，単語単位ではなく，文字単位の編集を手がかりとして入力誤りの候補を取り出し，それらに対しフィルタリングすることで入力誤りを収集する．この手法で約 70 万文ペアの大規模なデータセットを構築し，さらに，構築手法を評価した．次に，得られたデータセットを用いて，入力誤り訂正システムを構築する．訂正システムは，事前学習 seq2seq モデルを用い，入力誤り訂正のみを学習するシステムと，漢字の読みの推定を同時に学習するシステムを構築した．前者と比較して，後者は漢字の変換誤りの訂正において精度が向上した．また，学習データに疑似入力誤りデータを追加して学習し，その精度変化を見た．最後に，他の校正システムと入力誤り認識精度の比較を行い，本研究のシステムの精度が高いことを確認した．
    • 国際会議 International Conference
      • Tatsuya Ide, Daisuke Kawahara, “Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation”, NAACL Student Research Workshop (SRW) 2021, pp.119-125, 2021.6.
    • 国内研究会 Domestic Technical Conference
      • 榮田亮真, 河原大輔, “応答の生成・評価・選択による対話システム”, 言語処理学会 第28回年次大会, 2022年3月.
      • Ritvik Choudhary, 河原大輔, “ソーシャルメディア上のインタラクションを利用したオープンドメイン対話応答生成”, 言語処理学会 第28回年次大会, 2022年3月.
      • 井手竜也, 河原大輔, “表出感情と経験感情をタグ付けした対話コーパスの構築”, 言語処理学会 第28回年次大会, 2022年3月.
      • 吉田あいり, 河原大輔, “構造的曖昧性に基づく読みづらさの検出”, 言語処理学会 第28回年次大会, 2022年3月.
      • 笠原智仁, 河原大輔, “Prompt-Tuningによる個性を持った対話システムの構築”, 言語処理学会 第28回年次大会, 2022年3月.
      • 栗原健太郎, 河原大輔, 柴田知秀, “JGLUE: 日本語言語理解ベンチマーク”, 言語処理学会 第28回年次大会, 2022年3月.

  • 嶋本　薫 教授 Shigeru SHIMAMOTO, Professor
    • 論文 Thesis
      • 齋藤恵, 仲沢隼斗, パン・ジェニー, 劉江, 嶋本薫 , “D2D通信を用いた電力貸借通信における電力 負担を考慮した端末選択手法の研究” 日本シミュレーション学会和文論文誌 14巻1号 pp. 54-70, 2022. [Abstract] In this study, we propose “Energy borrowing transmission scheme” in 5G and Beyond5G, and investigate the optimal terminal selection method considering the power burden of the terminal. In the mobile communication field, new user experiences and services have become possible in recent years due to the improvement of mobile terminal functions and the development of communication technology. On the other hand, from the user’s point of view, there is still a high level of dissatisfaction with battery life. To address this issue, this study focuses on deviceto-device (D2D) communication, which is low power consumption and highly power efficient, and aims to extend the battery life of mobile terminals by effectively using D2D communication between mobile terminals. To extend battery life, this scheme does not communicate directly with the base station, but uses D2D communication to request neighboring terminals to communicate with the base station on its behalf. Since this can be said to be a virtual use of the battery resources of a neighboring terminal, we call the proposed scheme a energy borrowing transmission scheme. In this study, we examined optimal terminal selection methods for borrowing power from other terminals, and developed a selection method that aims to reduce the power burden by setting an upper limit for lending power to the lender while minimizing battery depletion and extending the operating time of the borrowing terminal. In addition, to confirm the effectiveness of this method, we conducted experiments by dividing the power consumption during communication into three categories: those who borrow power, those who lend power, and those who communicate with base stations (normal use), and analyzed the measured results in terms of power consumption and battery depletion. In addition, we also analyzed the power consumption and battery consumption of the lender and borrower when using the proposed method. Furthermore, through simulation evaluation, we will verify the impact of the upper limit of power lending on the borrower’s battery life and the fairness of the scheme.
      • Megumi Saito, Takashi Koshimizu, Zhenni Pan, Jiang Liu, Hayato Nakazawa, and Shigeru Shimamoto, “Energy Borrowing Transmission Scheme Based on D2D Communication for 5G Networks”, IEEE Access ( Volume: 9 Page(s): 165841 – 165853), December 2021. [Abstract] In our paper, we proposed an Energy Borrowing (EB) transmission scheme which is used to conserve the battery life of user equipment (UE), such as a mobile phone. EB is based on device-to-device (D2D) communication and cellular networks, particularly, on out-band D2D (Wi-Fi Direct, IEEE 802.11) and 5G networks. Since D2D offers higher energy efficiency than cellular networks, in this scheme, a UE with low remaining battery power establishes a D2D connection with a nearby UE, and the nearby UE transfers the low remaining battery UE’s packets to/from gNB (5G-base station). As nearby UE plays an active role in the low remaining battery UE’s connection with gNB. Therefore, we can rephrase that a UE with low battery power is virtually borrowing the battery resources of a nearby UE. This paper introduces the operation protocol and procedure followed by EB with the use of Wi-Fi Direct and 5G networks. Experiments and simulations demonstrate that EB can extend terminal battery lifetime (a valuable characteristic for longlasting batteries), and it is more effective as compared with the existing scheme that uses only the cellular network.
    • 国際会議 International Conference
      • Yuao Ye, Jiang Liu, Wen Zhao, Peng Liu and Shigeru Shimamoto, ” Machine Learning based on Air-writing Recognition System,” 2023 International Conference on Intelligent Control and Computing (IC&C 2023), Paper ID: FE509 （accepted）,February 2023.
      • Megumi Saito, Zhenni Pan and Jiang Liu, and Shigeru Shimamoto, “D2D Communication Based Salvage Transmission Scheme for Communication Disturbance in 5G Networks”, IEEE Consumer Communications and Networking Conference 2023 (CCNC2023), Jan. 2023.
      • Mika Kokuryo, Gentaro Konishi, Megumi Saito, and Shigeru Shimamoto, “Characteristics of Wireless Signal Propagation Inside Robotic Limbs employing Rotary Waveguide Joints”, IEEE CCNC January 2023.
      • Hinako Ochi, Jiang Liu and Shigeru Shimamoto, “Non-contact Blood Pressure Prediction Employing Microwave Reflection based on Machine Learning”, IEEE CCNC January 2023.
      • Chiyako Hisanaga, Suzumi Sato, Hayato Nakazawa, Megumi Saito, Shigeru Shimaoto, “The Estimation of Stress on Smartphone Users”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.
      • Tatsuya Ueki, Kazutoshi Yoshii, Shigeru Shimamoto, “Anti Spoofing Techniques of Vehicle Positioning System using V2V communications”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.
      • Chaoyi Yang，Junlong Wang, Zhenni Pan, Shigeru Shimamoto, “Researh on superimposing pilot in OTFS”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.
      • Mika Kokuryo，Gen Konishi, Megumi Saito, Shigeru Shimamoto, “Wireless communication inside robots using standard waveguide structures”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.
      • Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto, “Ionospheric Fading Reduction Schemes for Long Distance HF Communication”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.
      • Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, “Studies of Application of NOMA for ADS-B to Improve Spectral Efficiency for Future Air Traffic Scenarios”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.
      • Ji Li, Liu Jiang, Shigeru Shimamoto, “Smart Glove based Real-time Recognition of Japanese Sign Language employing Machine Learning”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2022 Workshop, Dec. 2022.
      • Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, “Studies of Application of NOMA for ADS-B to Improve Spectral Efficiency for Future Air Traffic Scenarios”, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.
      • Mika Kokuryo, Gen Konishi, Megumi Saito, Shigeru Shimamoto, “Wireless communication inside robotic structures using internal waveguides”, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.
      • Wataru Tachikawa, Kazutoshi Yoshii, Shigeru Shimamoto, “Performance Analysis of PDMA System for Ground-HAPS Network with Hybrid FSO/RF Links”, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.
      • Megumi Saito, Zhenni Pan, Jiang Liu, and Shigeru Shimamoto, “Salvage Transmission Scheme Using D2D Communication for Communication Failure in Cellular Networks”, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.
      • Chaoyi Yang, Junlong Wang, Zhenni Pan, Shigeru Shimamoto, “Delay-Doppler Frequency Domain-Aided Superimposing Pilot OTFS Channel Estimation Based on Deep Learning”, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.
      • Takuto Shimokawa, Zhenni Pan, Shigeru Shimamoto, “V2V communication using FAWAC, diversity, and SIC on highways in the presence of platoon”, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.
      • Yiding Li, Zhenni Pan, and Shigeru Shimamoto, “Joint Active and Passive Beamforming Optimization in Self sustainable RIS aided NOMA networks”, Global information and Telecommunication Workshop 2022 (GITW 2022), Dec. 2022.
      • Jiang Liu, Yang Chen, Shigeru Shimamoto, “Non-invasive Blood Glucose Measurement with Mid-infrared Signal by Machine Learning Schemes”, IEEE Global Communications Conference (GLOBECOM), workshop on Edge-AI and IoT for Connected Health, (online) Dec. 2022.
      • Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, “Performance Evaluation of Multiple Access Scheme Applying NOMA for ADS-B”, IEEE Access, 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 31 October 2022.
      • Chaoyi Yang, Junlong Wang, Zhenni Pan, and Shigeru Shimamoto, “ Delay-Doppler Frequency Domain-Aided Superimposing Pilot OTFS Channel Estimation Based on Deep Learning”, IEEE 96th Vehicular Technology Conference, September 2022.
      • ToshihitoTatsuoka, Zhenni Pan, Shigeru Shimamoto, “Study on Optical Fiber Communication in Vehicle”,The 2022 IEEE 96th Vehicular Technology Conference, September 2022.
      • Mao Wang, Wataru Tachikawa, Kazutoshi Yoshii, Shigeru Shimamoto, “NOMA based Terahertz Communication for High Altitude Platform System”, 96th VTC 2022 fall, September 2022.
      • Y. Li, Z. Pan and S. Shimamoto, “MARL Based Cooperative Passive Beamforming Design for Multi-IRS Aided Networks,” 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Kyoto, Japan, 2022, pp. 397-402.
      • Tianshun Fang, Hao Xue, Zhenni Pan, Shigeru Shimamoto“A Lightweight Network Slicing Scheme for 5G Coexistence Network in Multitenant and Services”, International Symposium on Networks, Computers and Communications(ISNCC), July 2022.
      • Gentaro Konishi, Megumi Saito, Shigeru Shimamoto, Shinji Horii, Seiichiro Murase, “ALOHA-SIC-based RFID System Assisted by the Internal Structure of Smart Refrigerators,” in the 16th IEEE International Conference on RFID 2022 (IEEE RFID 2022), Las Vegas, NV, May, 2022.
      • Junlong Wang, Chaoyi Yang, Zhenni Pan, Shigeru Shimamoto “Optimization on OTFS Modulation Channel Estimation Path Employing CNN-based Self-Adjustment Model,” 2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022, pp. 951-956.
      • L. Yiran, G. Konishi, M. Saito and S. Shimamoto, “An Efficient Topology-based Optimization Method of Broadband Absorbing Material,” 2022 24th International Conference on Advanced Communication Technology (ICACT), 2022, pp. 267-271, doi: 10.23919/ICACT53585.2022.9728874.
      • Kosei Ono, Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto, “Performance Analysis of Intelligent Reflecting Surface-Assisted Orbital Angular Momentum-Based Communication Systems,” 2022 24th International Conference on Advanced Communication Technology (ICACT), 2022, pp. 7-12.
      • Yosuke Higasa, Kazutoshi Yoshii, Megumi Saito, Jiang Liu, Shigeru Shimamoto, “Performance Analysis of DSSS-PDMA with SIC in GEO Satellite-Terrestrial Uplink Networks,” 2022 24th International Conference on Advanced Communication Technology (ICACT), 2022, pp. 1-6, doi: 10.23919/ICACT53585.2022.9728810.
      • Dhruba Raj Dhaka, Z. Pan and S. Shimamoto, “Resource Allocation for Weighted Max-min Fairness in NOMA with Imperfect SIC,” 2022 IEEE/SICE International Symposium on System Integration (SII), 2022, pp. 957-962.
      • Li Ji, Jiang Liu, Shigeru Shimamoto, “Recognition of Japanese Sign Language by Sensor-Based Data Glove Employing Machine Learning”, 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022), Osaka, Japan, Mar. 2022.
      • Chiyako Hisanaga, Suzumi Sato, Megumi Saito, and Shigeru Shimamoto(Waseda University); Nao Kobayashi(KDDI,Japan), “Examination of Validity of Smartphone Addiction by Biometric Sensing”, 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022), Osaka, Japan, Mar. 2022.
      • Chihyeh Chen, Megumi Saito, Shigeru Shimamoto, “Signal Propagation Through the Inside of Robot Leg for Non-wired Robot System,” 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 517-518.
      • Tatsuya Ueki, Kazutoshi Yoshii, Shigeru Shimamoto, Katsunari Mizuno, Kenta Matsufuji, “Evaluation of Impact of Intermediate GPS Spoofing to Mobile Terminals,” 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 717-718.
      • Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto, “Phase Control Scheme to Reduce Ionospheric Fading for Long Distance HF Communication,” 2021 Wireless Days (WD), pp. 1-7, Paris, France, July 2021.
      • Yuta Tsuzuki, Shigeru Shimamoto, Zhenni Pan, “Evaluations of SIC by Power Difference in IM-NOMA,” 2021 Wireless Days (WD), 2021, pp. 1-5.
      • Wataru Tachikawa, Kazutoshi Yoshii, Shigeru Shimamoto, “Performance Analysis of Uplink and Downlink NOMA System in Inter-Satellite Networks”, IEEE International Conference on Communications (ICC), June, 2021.
      • Hinako Ochi,Shigeru Shimamoto, Jiang Liu, Yukino Yamaoka, “Non-contact Blood Pressure Estimation withPulse WaveemployingMicrowave Reflection”, 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021, pp. 1-6.
      • Changhao Liu, Jiang Liu, Shigeru Shimamoto, “Sign Language Estimation Scheme Employing Wi-Fi Signal”, 2021 IEEE Sensors Applications Symposium, Aug 2021.
      • Xianzhi Chu,Jiang Liu, Shigeru Shimamoto, “A Sensor-Based Hand Gesture Recognition System for Japanese Sign Language”, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021), Nara,Japan, Mar. 2021.
      • Z. Pan, “Ultra-Reliable and Low Latency Wireless Access in Sustainable Massive IoT Networks”, A3 Foresight Program, AI-Based Future IoT Technologies and Services 2021 Workshop, Feb. 2021.
      • Genta Ishii, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto, “Wireless Power Transmission Scheme Employing Phase Control for WSN, 2021 18th IEEE Annual Consumer Communications and Networking Conference(CCNC), Las Vegas USA[Online],Jan.2021.
      • Yuqi Luo, Jiang Liu and Shigeru Shimamoto, “Wearable Air-Writing Recognition System employing Dynamic Time Warping,” 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2021, pp. 1-6, doi: 10.1109/CCNC49032.2021.9369458.g”.
      • Jiang Liu, “Machine Learning Based Health Monitoring System using Non-Contact Methods” A3 Foresight Program, AI-Based Future IoT Technologies and Services Workshop (Online), February 25th,2021(Invited presentation).
    • 国内研究会 Domestic technical meeting
      • 松藤 謙太, 劉 軒寧, 吉井 一駿, Pan Zhenni, 齋藤 恵, 劉 江, 嶋本 薫, 大倉 拓也, 三浦 周, 辻 宏之, 吉村 直子, 豊嶋守生, “移動車両基地局と信号機基地局による中継を用いた衛星- 地上連携システム”, 無線通信システム研究会（RCS）, Mar. 2021
    • 国内大会 Domestic technical meeting
      • 細矢淳, 地域未来牽引企業の都道府県別定量比較分析, 研究・イノベーション学会　第３６回年次学術大会, 2021年10月
      • Changhao Liu, Jiang Liu, Shigeru Shimamoto, “Machine Learning Based Sign Language Recognition System”, IEICE General Conference, Sep. 2021
      • 武　祐太・吉井一駿・嶋本　薫, 「フェーズドアレイアンテナを用いたUAV-WSNシステム」 電子情報通信学会総合大会 2021年
      • 長谷健介, 嶋本薫, 劉江, “近距離場における超⾳波無線給電システムの給電効率改善に関する研究“, 2021 年電⼦情報通信学会 総合⼤会,学⽣ポスターセッション
    • 表彰 Award
      • Yuji Ishiguro, Kazutoshi Yoshii, Shigeru Shimamoto, Best of Session Future Aeronautical Communication Concepts Award, IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 31 October 2022.
      • Takuto Shimokawa, Best Presentation Award. GITW2023, 2022.
      • Li Jin . Best Presentation Award, A3 foresight program, Workshop AI based – Future IOT Technologies and Services.
      • Mika Kokuryo, Best Presentation Award, A3 foresight program, Workshop AI based – Future IOT Technologies and Services.

  • 清水　佳奈 教授 Kana SHIMIZU, Professor
    • 論文 Thesis
      • Y Nakagawa, S Ohata, K Shimizu, “Efficient Privacy-Preserving Variable-Length Substring Match for Genome Sequence” (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[…V[p0]…]] 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.
    • 国際会議 International Conference
      • Yoshiki Nakagawa, Satsuya Ohata, Kana Shimizu, “Efficient Privacy-Preserving Variable-Length Substring Match for Genome Sequence. ” 21st International Workshop on Algorithms in Bioinformatics(WABI) 2-23 2021年
    • 表彰 Award
      • 長谷川望, 清水佳奈, 2021年日本バイオインフォマティクス学会年会 ・第10回生命医薬情報学連合大会（IIBMP2021）優秀ポスター賞 （「色付きde Bruijnグラフに基づく索引のハッシュ関数を用いた精度向上とサイズ削減」）, 2021年10月
    • 社会活動・学会活動 Social Activity and Acadeimic Society Activity
      • 第10回生命医薬情報学連合大会, 2021年9月27日−9月29日 2021, 実行副委員長
      • 情報処理学会第83回全国大会, プログラム委員, 2021年3月18日-3月20日
      • （JST）さきがけ「社会変革に向けたICT基盤強化」, 領域アドバイザ, 2021年度-至現在
      • （JST）NBDC「統合化推進プログラム」, 研究アドバイザー, 2020年7月-至現在
      • 東京高等裁判所 専門委員 2020年度-至現在

  • 中里　秀則 教授 Hidenori NAKAZATO, Professor
    • 論文 Thesis
      • Andrea Detti, Hidenori Nakazato, Juan Antonio Martínez Navarro, Giuseppe Tropea, Ludovico Funari, Luca Petrucci, Juan Andrés Sánchez Segado, and Kenji Kanai. VirIoT: A cloud of things that offers IoT infrastructures as a service. Sensors, Vol. 21, No. 19, 2021.[Abstract]Many cloud providers offer IoT services that simplify the collectionand processing of IoT information. However, the IoT infrastructurecomposed of sensors and actuators that produces this informationremains outside the cloud; therefore, application developers mustinstall, connect and manage the cloud. This requirement can be amarket barrier, especially for small/medium software companies thatcannot afford the infrastructural costs associated with it and wouldonly prefer to focus on IoT application developments. Motivated by thewish to eliminate this barrier, this paper proposes a Cloud of Thingsplatform, called VirIoT, which fully brings the Infrastructure as aservice model typical of cloud computing to the world of Internet ofThings. VirIoT provides users with virtual IoT infrastructures(Virtual Silos) composed of virtual things, with which users caninteract through dedicated and standardized broker servers in whichthe technology can be chosen among those offered by the platform, suchas oneM2M, NGSI and NGSI-LD. VirIoT allows developers to focus theirefforts exclusively on IoT applications without worrying aboutinfrastructure management and allows cloud providers to expand theirIoT services portfolio. VirIoT uses external things and cloud/edgecomputing resources to deliver the IoT virtualization services. Itsopen-source architecture is microservice-based and runs on top of adistributed Kubernetes platform with nodes in central and edge datacenters. The architecture is scalable, efficient and able to supportthe continuous integration of heterogeneous things and IoT standards,taking care of interoperability issues. Using a VirIoT deploymentspanning data centers in Europe and Japan, we conducted a performanceevaluation with a two-fold objective: showing the efficiency andscalability of the architecture; and leveraging VirIoT’s ability tointegrate different IoT standards in order to make a fair comparisonof some open-source IoT Broker implementations, namely Mobius foroneM2M, Orion for NGSIv2, Orion-LD and Scorpio for NGSI-LD.
      • Hidehiro Kanemitsu, Kenji Kanai, Jiro Katto, and Hidenori Nakazato. A containerized task clustering for scheduling workflows to utilize processors and containers on clouds. The Journal of Supercomputing, 2021.[Abstract]Recent advancements of virtualization technologies for parallelprocessing involve scheduling containerized tasks in a workflow. Sincea container can include multiple tasks, it can be reused or sharedamong applications. If every task in a workflow uses its dedicatedcontainer without sharing among any tasks, each container image mustbe downloaded for each task. As a result, many computational resourcesare required to process and the communication latency related tocontainer image downloading can become a bottleneck for themakespan. In task scheduling algorithms for workflows, thischaracteristic produces a new challenging issue that how effectivelyshares containers among tasks to avoid redundant container imagedownload processes and redundant task allocations. One of thefundamental problems is that no policy has been established forsimultaneously satisfying effective container sharing, maintaining thedegree of task parallelism, and effective computational resourceutilization. In this paper, we propose a clustering-basedcontainerized task scheduling algorithm for clouds, namely, shareablefunctional task clustering for utilizing virtualized resources(SF-CUV). The objective of SF-CUV is to minimize the makespan withless computational resources and containers than other algorithms byclustering tasks and sharing each container among tasks. SF-CUVconsists of two phases: (i)task clustering and pre-virtual CPU (vCPU)allocation phase to derive an accurate scheduling priority, and(ii)task ordering and actual task reallocation phase. Experimentalresults obtained via simulation and in a real environment show thatSF-CUV can utilize both vCPUs and containers with a shorter makespancompared with other approaches.
    • 国際会議 International Conference
      • Natsuko Fukuda and Hidenori Nakazato. Hash-collecting system : Applying Freenet routing method to Named Data Networking. In 25th Conference on Innovation in Clouds, Internet and Networks (ICIN), March 2022.[Abstract]As network usage shifts to content retrieval and its trafficincreases, Information-Centric Networking (ICN) is collectinginterests. The purpose of this paper is to improve the efficiency ofcontent retrieval. Our proposing Hash-Collecting System appliesFreenet routing method to Named Data Networking (NDN) forwardingsystem. The average number of hops required to retrieve contents isreduced by our proposing method from the standard NDN forwardingsystem. The proposed method enables finding content in near-by nodefrom the requesting party and can reduce the content retrieval traffic.
      • Keisuke Takahashi, Kenji Kanai, and Hidenori Nakazato. Performance evaluation of blockchains towards sharing of digital twins. In 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), March 2022.[Abstract]Citizens need to be involved to construct digital twins by sensing theurban environments using their IoT devices and sharing the sensed dataamong application providers. This “cooperative sensing” is one ofthe key solutions to achieve sustainable smart cities/super cities andoffers improvement of the Quality of Life of citizens. In this view,blockchain and distributed ledger technology are collecting muchattention to build a distributed data exchanging/sharing system forIoT data as well as cryptocurrency. However, the blockchain has ascalability issue in terms of large data volume and highfrequencytransaction cases. In this paper, in order to reveal the comprehensiveperformance of blockchain when it is applied to sensor data sharing,we build a data-sharing system using Hyperledger Fabric which is oneof the well-known blockchain platforms and evaluate the systemperformance by using a variety of sensing data, including images and3D objects.
      • Hidehiro Kanemitsu and Hidenori Nakazato. KadRTT: routing with network proximity and uniform ID arrangement in Kademlia. In 2021 IFIP Networking Conference (IFIP Networking), pages 1–6, 2021.[Abstract]Distributed Hash Table (DHT) has been widely applied to peer-to-peer(P2P) applications for efficient content lookup mechanisms. IPFS, oneof the distributed systems for sharing files, websites, and data on aworldwide scale, adopts Kademlia as one of the DHTs, that is includedin libp2p on the network layer of IFPS. Though DHT-based contentlookup can scale in the number of peers, how to control lookupperformance, e.g., lookup latency and lookup hop count, is one of theissues for a very large-scale network. Thus, it is necessary toguarantee both the lookup latency and the hop count even if thenetwork scale becomes larger.In this paper, we propose a Kademlia alternative, called KadRTT, thatreduces both the lookup latency and hop count. KadRTT has twofunctionalities, i.e., (i) RTT-based lookup target selection not toincrease the maximum hop count, and (ii) uniform ID arrangement foreach k-bucket to shorten the initial ID distance from contentID. Experimental results by the simulation show that KadRTToutperforms other Kademlia-based DHTs in terms of lookup latency andhop count.
    • 国内研究会 Domestic technical meeting
      • 福田奈津子, 中里秀則. Hash-Collecting System: Named-Data NetworkingにおけるFreenet転送手法の導入およびコンテンツ収集の活発化. 信学技報 vol. 121, no. 395, CS2021-79, pp. 19-24, 電子情報通信学会, 2022年3月.[要約]本論文では、Name Data Networking においてFreenet の転送手法を取り入れた「Hash-Collecting System」の提案を行う。提案手法をシミュレータで実装し、通常のNDN と比較してData パケットの平均ホップ数が改善されることを示す。
      • 高橋圭介, 中里秀則, 金井謙治. デジタルツインの共有を目指すブロックチェーン性能評価. 信学技報 vol. 121, no. 395, CS2021-78, pp. 13-18, 電子情報通信学会, 2022年3月.[要約]現在、人々のQuality of Life (QoL) を高めるデジタルツイン実現に向けた取り組みが行われている。デジタルツインを実現するためには、IoT デバイスでセンシングしたデータを、アプリケーション提供者間で共有することが必要となる。このような背景に対して、ブロックチェーンの活用が期待されている。しかし、ブロックチェーンをIoT やスマートシティ領域にて活用するためには、データ量の大きさや高頻度で発生するトランザクションの場合において、スケーラビリティの問題がある。本稿では、データ共有システムへのブロックチェーンの適用可能性について、ブロックチェーンの一つであるHyperledger Fabricを用いて、画像や3 次元点群データを取引する際の性能評価を行う。
      • 伊藤快, 中里秀則. NDNによるキャッシュを用いたSFCにおけるファンクション選択手法. 信学技報 vol. 121, no. 395, CS2021-77, pp. 7-12, 電子情報通信学会, 2022年3月.[要約]IoT サービスを実現させるために，様々な機能(ファンクション) をServiceFunction Chaining (SFC) という技術を使ってNamed Data Networking (NDN)環境下で適用することを検討している．本稿では，負荷の分散や遅延を軽減したIoT サービスの実現を目的として，SFC のためのファンクション選択手法を提案している．提案手法ではNDN の基本的なデータ構造であるForwardingInformation Base (FIB) とPending Interest Table (PIT) を拡張し，キャッシュの利用を考慮したうえでネットワーク全体で分散的なファンクション選択を可能とした．
      • 御法川凌太, 中里秀則. NDNにおけるNLSRによるキャッシュコンテンツ広告のトラヒックへの影響. 信学技報 vol. 121, no. 395, CS2021-76, pp. 1-6, 電子情報通信学会, 2022年3月.[要約]Information Centric Networking (ICN) の一種であるNamed Data Networking(NDN) で使用されているNamed– data Link State Routing Protocol (NLSR)にコンテンツモビリティへ対応する機能を追加した際の実用性を検討した．本稿では，NDNルータがキャッシュしたコンテンツを確率的に広告する機能を追加し，トポロジや広告確率を変動させることで負荷の変化を計測，解析している．様々な条件に適用することで，追加機能がネットワークに与える影響を評価する．
      • 金井謙治, 中村健一, 中里秀則. 仮想 IoT システムによる日欧にまたがる見守りシ ステムのプロトタイプ実装と実証評価. 信学技報 vol. 121, no. 268, CS2021-66, pp. 35-40, 電子情報通信学会, 2021年11月.[要約]本稿では、都市OSモデルの実装例の一つとなり得る仮想IoTシステム「VirIoT」の紹介と、そのユースケースの一つとして、見守りシステムの VirIoT上での実装例について説明する 。本見守りシステムについて、プロトタイプ実装を行い、日欧の5か所の拠点に実際に配備を行い、システムの性能検証結果を紹介する。
      • 関心, 中里秀則. 区域分割を含む ACO に基づく迅速再接続ルーティングアルゴリ ズム. 信学技報 vol. 121, no. 223, CS2021-59, pp. 38-43, 電子情報通信学会, 2021年10月.[要約]移動端末が多数を占める現状のインターネットの利用を鑑みれば，情報指向ネットワーク（Information–Centric Networking: ICN）においても，モビリティの問題は解決する必要がある．特にコンテンツ提供者の移動に対して，現在は効率的なソリューションがない．既存の手法で，コンテンツ提供者が移動した場合，ネットワーク全体のルーティング情報を更新する必要があり，通信経路の切断，パケット損失や遅延の増大，ネットワーク規模に対しオーバーヘッドが大きくなるなどの問題がある．この論文では，コンテンツ提供者の移動に対して，早めにコンテンツ提供者と要求者の間の経路を見つけ，通信のリンクを回復して，コンテンツ提供者の移動による損失を小さくするために，区域分割を含むAnt Colony Optimization (ACO) に基づく迅速再接続ルーティングアルゴリズムを提案した．分割した区域の情報を持ちながら，ACO ルーティングアルゴリズムの利点を利用し，コンテンツ提供者の移動後，コンテンツ要求者への経路の発見率をあげて，再接続の速度を向上させる．
      • 高橋圭介, 金井謙治, 中里秀則. IoT デバイスを IoT サービス間で柔軟に共用する機 構の開発. 信学技報 vol. 121, no. 113, CS2021-34, pp. 80-81, 電子情報通信学会, 2021年7月.[要約]筆者らは、Web ブラウザを介して簡易にIoT サービスを設計できることを目指している。それに向けて、本稿では、IoT デバイスやIoT サービスをあたかもプラグアンドプレイでIoT サービス設計ツールに登録するための登録サービスおよび認証サービスについて紹介する。さらに、本サービスの実現に向けて、マイクロサービスアーキテクチャに基づき、各サービスをマイクロサービスとして実装することを検討している。
    • 国内大会 Domestic technical meeting
      • 相川恭兵, 中里秀則. NDN における熱拡散原理を用いたフロー制御の性能確認. 2022 年電子情報通信学会総合大会講演論文集, pp. B–7–2, 2022年3月.
      • 徳永嘉裕, 中里秀則. NDN におけるサービスファンクションチェイニングのファ ンクション配置手法. 2022 年電子情報通信学会総合大会講演論文集, pp. B–7–1, 2022年3月.
      • 金井謙治, 中里秀則, 金光永煥. ThingVisor Factory: クラウドネイティブな IoT サービス構築システム. 2021 年電子情報通信学会通信ソサイエティ大会講演論文集, pp. BI–4–2, 2021年9月.
      • 中里秀則, 田崎創, 中村健一, 横谷哲也, Andrea Detti. Fed4IoT プロジェクトでのAI 活用と標準化提案. 2021 年電子情報通信学会ソサイエティ大会講演論文集, pp. BK–3–4, 2021年9月.
    • 社会活動・学会活動 Social Activity and Acadeimic Society Activity
      • 電子情報通信学会 情報指向ネットワーク技術特別研究専門委員会 委員長, 2021-2022年度.
      • IEEE 8th World Forum on Internet of Things, Workshop Co-chair,October 26 – November 11 2022.
      • 9th ACM Conference on Information-Centric Networking (ICN 2022), Tutorial Co-chair, Septempber 19–21 2022.
      • 2022 International Conference on Emerging Technologies for Communications, Local Arrangement Chair, November 29-December 1 2022.

  • 宮下　朋之 教授 Tomoyuki MIYASHITA, Professor
    • 論文 Thesis
      • Yanagisawa, H., Sugimoto, M., Miyashita, T., Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression, Scientific Reports, Vol. 11,No. 1, Paper ID 419,2021
      • Miura, S., Takahashi, S., Parque, V., Miyashita, T., Small-Scale Human Impact Anthropomorphic Test Device Using the Similarity Rule, IEEE Transactions on Industrial Electronics, Vol. 68, No. 8, Paper ID 9126238, pp. 7188 – 7198, 2021
      • Khairi Faiz, M., Uehara, K., Nakajima, T., Kanno, T., Hiramoto, Y., Miyashita, T., Okane, T., Yoshida, M., Effect of Sand Mold Constraint on Warpage Deformation of Lamellar Graphite Gray Cast Iron and Prediction by Elastoplastic-Creep Finite Element Analysis, Journal of Materials Engineering and Performance, Vol. 30, No. 6, pp.4669 – 4680, 2021
      • Miura, S., Saito, K., Torisaka, A., Parque, V., Miyashita, T., Shape optimization of a three-dimensional membrane-structured solar sail using an angular momentum unloading strategy, Advances in Space Research, Vol. 67, No. 9, pp. 2706 – 2715, 2021
      • Parque, V., Suzaki, W., Miura, S., Torisaka, A., Miyashita, T., Natori, M., Packaging of thick membranes using a multi-spiral folding approach: Flat and curved surfaces, Advances in Space Research, Vol. 67, No. 9, pp.2589 – 2612, 2021
      • Torisaka, A., Eguchi, K., Miura, S., Parque, V., Miyashita, T., Leg-circle transformable wheel for improved runnability of a lunar rover, Journal of Intelligent Material Systems and Structures, Vol. 32, No. 9, pp.1013-1023, 2021
      • Ouchi, S., Kodani, N., Inoue, K., Inaba, T., Miyashita, T., Noguchi, H., Attitude control of drone by using CMG, IEEJ Transactions on Electronics, Information and Systems, Vol. 141, No. 3, pp.436 – 445, 2021
      • orisaka, A., Hasegawa, S., Miura, S., Parque, V., Miyashita, T., Yamakawa, H., Natori, M.C., Electromagnet-based three-dimensional self-assembly system for hierarchical modular space structures, Journal of Spacecraft and Rockets, Vol. 58, No.2 , pp. 472 – 485, 2021
      • 大内 茂人, 小谷 斉之, 井上 健人, 稲葉 毅, 宮下 朋之, 野口 宏実, 並進系を考慮したシングルCMGによるドローンの姿勢制御, 日本機械学会論文集 87 (895), 2021
    • 国際会議 International Conference
      • Otake, S., Hori, M., Kato, R., Ikeda, Y., Parque, V., Faiz, M.K., Yoshida, M., Miyashita, T., Relationships of design parameters and the cooling performance of the spiral-fin heatsink, ICEP 2021, Paper ID 9451967,pp. 161-162
      • Abe, Y., Hirao, A., Kato, R., Ikeda, Y., Parque, V., Faiz, M.K., Yoshida, M., Miyashita, T., Design optimization of copper patterns and location of power semiconductors and terminals, ICEP 2021, Paper ID 9451973, pp. 157-158
      • Kurihara, H., Shimizu, S., Mazaki, R., Motoi, N., Oboe, R., Hasebe, N., Miyashita, T., Development of haptic feedback control stick for remote control between different structures, ICM 2021, Paper ID 9385652, 2021
      • Parque, V., Miyashita, T., An Efficient Scheme for the Generation of Ordered Trees in Constant Amortized Time 2021 Proceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021, Paper ID 9377349, 2021
    • 国内大会 Domestic technical meeting
      • 石村 康生, 河野 太郎, 田中 宏明, 小木曽 望, 宮下 朋之, 土居 明広, 水村 好貴, 福家 英之, 田村 誠, 中尾 達郎, 鳥阪 綾子, 山崎 真穂, 安田 優也, 山本 晃也, 高精度変位計測装置の実証結果と展望2021年度, 大気球シンポジウム, 2021-11,宇宙航空研究開発機構宇宙科学研究所(JAXA)(ISAS)
      • 幺 振鐸, 大宮 正毅, 杉山 太志, 宮下 朋之, 本田 正徳, 河村 力, 構造階層化概念による荷重伝達指標Ustar(U*)を用いた自動車ドア構造の位相最適化, 自動車技術会論文集 52 (2), 469-474, 2021
      • 志茂 康平, 沖村 泰彦, 今村 怜, 牧野 泰育, 橋本 邦弘, 加藤 裕介, 岡根 利光, 宮下 朋之, 吉田 誠, 鋳造時の水分凝縮を考慮した生砂型のCam-Clay構成方程式の構築, 鋳造工学 全国講演大会講演概要集 178 (0), 38-38, 2021
      • 三浦 智, Victor Parque, 張 博, 川村 和也, 藤江 正克, 宮下 朋之, 菅野 重樹, ロボット操作者の身体性に協調するインタフェースの開発, ロボティクス・メカトロニクス講演会講演概要集 2021, 2021
      • 保川 彰夫, 宮下 朋之, SiO2の材質影響を考慮した静疲労き裂進展速度の理論式、日本機械学会　年次大会、 2021
      • 加来裕貴、三浦智、宮下朋之、”手首周りの身体性を取り入れたインタフェースの操作のためのニューラルネットワークの活用に関する研究”、第22回　計測自動制御学会 システムインテグレーション部門講演会、オンライン、Dec. 15-17, 2021 (SI2021優秀講演賞)

  • 鷲崎　弘宜 教授 Hironori WASHIZAKI, Professor
    • 論文 Thesis
      • Kenta Kanakogi, Hironori Washizaki, Yoshiaki Fukazawa, Shinpei Ogata, Takao Okubo, Takehisa Kato, Hideyuki Kanuka, Atsuo Hazeyama, Nobukazu Yoshioka, “Comparative Evaluation of NLP-Based Approaches for Linking CAPEC Attack Patterns from CVE Vulnerability Information,” Applied Sciences, Special Issue on Software Engineering: Computer Science and System, Vol. 12, No. 7, pp. 1-15, 2022.[Abstract]Vulnerability and attack information must be collected to assess the severity of vulnerabilities and prioritize countermeasures against cyberattacks quickly and accurately. Common Vulnerabilities and Exposures is a dictionary that lists vulnerabilities and incidents, while Common Attack Pattern Enumeration and Classification is a dictionary of attack patterns. Direct identification of common attack pattern enumeration and classification from common vulnerabilities and exposures is difficult, as they are not always directly linked. Here, an approach to directly find common links between these dictionaries is proposed. Then, several patterns, which are combinations of similarity measures and popular algorithms such as term frequency–inverse document frequency, universal sentence encoder, and sentence BERT, are evaluated experimentally using the proposed approach. Specifically, two metrics, recall and mean reciprocal rank, are used to assess the traceability of the common attack pattern enumeration and classification identifiers associated with 61 identifiers for common vulnerabilities and exposures. The experiment confirms that the term frequency–inverse document frequency algorithm provides the best overall performance.
      • Ryo Ishizuka, Hironori Washizaki, Naohiko Tsuda, Yoshiaki Fukazawa, Saori Ouji, Shinobu Saito, Yukako Iimura, “Categorization and Visualization of Issue Tickets to Support Understanding of Implemented Features in Software Development Projects,” Applied Sciences, Special Issue on Software Engineering: Computer Science and System, Vol. 12, No. 7, pp. 1-23, 2022.[Abstract]Background: In most software projects, new members must comprehend the features already implemented since they are usually assigned during the project period. They often read software documents (e.g., flowcharts and data models), but such documents tend not to be updated after they are created. Herein we focus on tickets issued because they are created as a project evolves and include the latest information of the implemented features. Aim: The purpose of this paper is to clarify the way of helping new members understand the implemented features of a project by using tickets. Methodology: We propose a novel method to categorize tickets by clustering and visualizing the characteristics of each category via heatmapping and principal component analysis (PCA). Our method estimates the number of categories and categorizes issue tickets (tickets) automatically. Moreover, it has two visualizations. Ticket lifetime visualization shows the time series change to review tickets quickly, while ticket feature visualization shows the relationships among ticket categories and keywords of ticket categories using heatmapping and PCA. Results: To evaluate the effectiveness of our method, we implemented a case study. Specifically, we applied our method to an industrial software development project and interviewed the project members and external experts. Furthermore, we conducted an experiment to clarify the effectiveness of our method compared with a non-tool-assist method by letting subjects comprehend the target project, which is the same as that of the case study. These studies confirm our method supports experts’ and subjects’ comprehension of the project and its features by examining the ticket category lifetimes and keywords. Implication: Newcomers during project onboarding can utilize tickets to comprehend implemented features effectively if the tickets are appropriately structured and visualized. Conclusions: The original contribution of this paper is the proposal of the project feature comprehension method by visualizing the multi-dimensional nature of requirements in an organized and structured way based on available tickets and the result of its application to the industrial project.
      • Eduardo Buglioni Fernandez, Nobukazu Yoshioka, Hironori Washizaki, Joseph William Yoder, “Abstract security patterns and the design of secure systems,” Cybersecurity, Vol. 5, No. 7, pp. 1-17, Springer, 2022.[Abstract]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 “security by design” and IoT systems design.
      • Hironori Washizaki, Foutse Khomh, Yann-Gael Gueheneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda, “Software Engineering Design Patterns for Machine Learning Applications,” IEEE Computer, Vol. 55, No. 3, pp. 30-39, 2022.[Abstract]In this study, a multivocal literature review identified 15 software-engineering design patterns for machine learning applications. Findings suggest that there are opportunities to increase the patterns’ adoption in practice by raising awareness of such patterns within the community.
      • Kyawt Kyawt San, Hironori Washizaki, Yoshiaki Fukazawa, Kiyoshi Honda, Masahiro Taga, Akira Matsuzaki, “Deep Cross-Project Software Reliability Growth Model using Project Similarity Based Clustering,” Mathematics, Vol. 9, No. 22, Special Issue on Mathematics in Software Reliability and Quality Assurance, pp. 1-22, 2021.[Abstract]Software reliability is an essential characteristic for ensuring the qualities of software products. Predicting the potential number of bugs from the beginning of a development project allows practitioners to make the appropriate decisions regarding testing activities. In the initial development phases, applying traditional software reliability growth models (SRGMs) with limited past data does not always provide reliable prediction result for decision making. To overcome this, herein, we propose a new software reliability modeling method called a deep cross-project software reliability growth model (DC-SRGM). DC-SRGM is a cross-project prediction method that uses features of previous projects’ data through project similarity. Specifically, the proposed method applies cluster-based project selection for the training data source and modeling by a deep learning method. Experiments involving 15 real datasets from a company and 11 open source software datasets show that DC-SRGM can more precisely describe the reliability of ongoing development projects than existing traditional SRGMs and the LSTM model.
      • Daisuke Saito, Risei Yajima, Hironori Washizaki, Yoshiaki Fukazawa, “Validation of Rubric Evaluation for Programming Education,” Education Sciences, Special Issue on The Digitalized K-12 Classroom in the Age of AI, Analytics and IoT, pp. 1-18, 2021.[Abstract]In evaluating the learning achievement of programming-thinking skills, the method of using a rubric that describes evaluation items and evaluation stages is widely employed. However, few studies have evaluated the reliability, validity, and consistency of the rubrics themselves. In this study, we introduced a statistical method for evaluating the characteristics of rubrics using the goal question metric (GQM) method. Furthermore, we proposed a method for measuring four evaluation results and characteristics obtained from rubrics developed using this statistical method. Moreover, we showed and confirmed the consistency and validity of the statistical method using the GQM method of the resulting developed rubrics. We show how to verify the consistency and validity of the rubric using the GQM method.
      • Hiroshi Ukai, Xiao Qu, Hironori Washizaki, and Yoshiaki Fukazawa, “Accelerating covering array generation by combinatorial join for industry scale software testing,” PeerJ Computer Science, pp. 1-31, 2021.[Abstract]Combinatorial interaction testing, which is a technique to verify a system with numerous input parameters, employs a mathematical object called a covering array as a test input. This technique generates a limited number of test cases while guaranteeing a given combinatorial coverage. Although this area has been studied extensively, handling constraints among input parameters remains a major challenge, which may significantly increase the cost to generate covering arrays. In this work, we propose a mathematical operation, called “weaken-product based combinatorial join”, which constructs a new covering array from two existing covering arrays. The operation reuses existing covering arrays to save computational resource by increasing parallelism during generation without losing combinatorial coverage of the original arrays. Our proposed method significantly reduce the covering array generation time by 13–96% depending on use case scenarios.
      • Kenta Kanakogi, Hironori Washizaki, Yoshiaki Fukazawa, Shinpei Ogata, Takao Okubo, Takehisa Kato, Hideyuki Kanuka, Atsuo Hazeyama, Nobukazu Yoshioka, “Tracing CVE Vulnerability Information to CAPEC Attack Patterns Using Natural Language Processing Techniques,” Information, MDPI, pp. 1-15, 2021.[Abstract]For effective vulnerability management, vulnerability and attack information must be collected quickly and efficiently. A security knowledge repository can collect such information. The Common Vulnerabilities and Exposures (CVE) provides known vulnerabilities of products, while the Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of common attributes and approaches employed by adversaries to exploit known weaknesses. Due to the fact that the information in these two repositories are not linked, identifying related CAPEC attack information from CVE vulnerability information is challenging. Currently, the related CAPEC-ID can be traced from the CVE-ID using Common Weakness Enumeration (CWE) in some but not all cases. Here, we propose a method to automatically trace the related CAPEC-IDs from CVE-ID using three similarity measures: TF–IDF, Universal Sentence Encoder (USE), and Sentence-BERT (SBERT). We prepared and used 58 CVE-IDs as test input data. Then, we tested whether we could trace CAPEC-IDs related to each of the 58 CVE-IDs. Additionally, we experimentally confirm that TF–IDF is the best similarity measure, as it traced 48 of the 58 CVE-IDs to the related CAPEC-ID.
      • Eduardo B. Fernandez, Hironori Washizaki, Nobukazu Yoshioka, Takao Okubo, “The design of secure IoT applications using patterns: State of the art and directions for research,” Internet of Things; Engineering Cyber Physical Human Systems, Vol. 15-16, Elsevier, pp. 1-25, 2021.[Abstract]Internet of Things (IoT) systems are exposed to a large variety of threats due to the inclusion of many devices which may have different owners and manufacturers. IoT applications often include parts in clouds and fogs as well as being part of larger cyber-physical systems; that is, these systems are very complex, which also contributes to their security problems. The design of IoT-based applications must be able to handle this complexity and heterogeneity; patterns are a good approach for this purpose because of their abstraction power. When using patterns, a good catalog is necessary. We survey and classify existing IoT security patterns to see their coverage and quality to evaluate how appropriate they are to be part of a useful catalog. A practical catalog must cover most of the standard security mechanisms. Pattern descriptions include several sections according to a template. We conclude that the number of existing patterns is insufficient for a working catalog and most of them are incomplete or use different descriptions; we need to build a unified catalog. We have started in that direction by creating new patterns or rewriting existing patterns to make them follow a common description. To use the patterns, we need a secure development methodology and we survey IoT development methodologies; we find that none of them considers security or uses patterns. As a solution, we propose modifying existing pattern-based methodologies for distributed systems, of which there is a good variety, using one of them as reference for concreteness. We provide a list of possible research directions about these topics.
    • 国際会議 International Conference
      • Ryoya Yoshimura, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, “Recommendation System Providing Similar Problems Instead of Model Answers to Programming Assignments,” 5th IEEE Eurasian Conference on Educational Innovation 2022 (IEEE ECEI 2022), pp. 1-4, Online, Taipei, Taiwan, February 10 – 12, 2022.
      • Eiji Hayashiguchi, Hironori Washizaki, Katsutoshi Shintani, Daisuke Yoshioka, “The Competency-based Computing Curricula 2020 and SFIA V7 comparison focusing on Digital Transformation Age,” VI IEEE World Engineering Education Conference (EDUNINE 2022), March 13-16, 2022.
      • Hnin Thandar Tun, Jati H. Husen, Nobukazu Yoshioka Yoshioka, Hironori Washizaki and Yoshiaki Fukazawa, “Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems,” 3rd International Workshop on Machine Learning Systems Engineering​ (iMLSE 2021), December 6, 2021, Virtual – in Conjunction with APSEC 2021
      • Nobukazu Yoshioka, Jati H. Husen, Hnin Thandar Tun, Zhenxiang Chen, Hironori Washizaki and Yoshiaki Fukazawa, “Landscape of Requirements Engineering for Machine Learning-based AI Systems,” 3rd International Workshop on Machine Learning Systems Engineering​ (iMLSE 2021), December 6, 2021, Virtual – in Conjunction with APSEC 2021
      • Daisuke Saito, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, Shyuichi Uchiyama, Ramzi Ramzi, “Development of a Game to Foster Programming Thinking for Learning through Reading Program,” IEEE International Conference on Engineering, Technology, and Education (IEEE TALE 2021), Dec. 5-8, 2021, Wuhan, China
      • Yuki Kuramochi, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, “Bug Fixing versus Code Reading: Which is Better for Algorithm Learning?” IEEE International Conference on Engineering, Technology, and Education (IEEE TALE 2021), Dec. 5-8, 2021, Wuhan, China
      • Scott Lupton, Hironori Washizaki, Nobukazu Yoshioka and Yoshiaki Fukazawa, “Literature Review on Log Anomaly Detection Approaches Utilizing Online Parsing Methodology,” The 28th Asia-Pacific Software Engineering Conference (APSEC 2021), ERA (Early Research Achievements) track, pp. 1-5, 6th – 9th December 2021 – Virtual
      • Hironori Takeuchi, Takuo Doi, Hironori Washizaki, Satoshi Okuda, Nobukazu Yoshioka, “Enterprise Architecture based Representation of Architecture and Design Patterns for Machine Learning Systems,” The 13th Workshop on Service oriented Enterprise Architecture for Enterprise Engineering (SOEA4EE), pp. 1-6, in conjunction with the EDOC, October 25, 2021, Gold Coast Australia.
      • Jomphon Runpakprakun, Sien Reeve Ordonez Peralta, Hironori Washizaki, Foutse Khomh, Yann-Gael Gueheneuc, Nobukazu Yoshioka, Yoshiaki Fukazawa, “Software Engineering Patterns for Machine Learning Applications (SEP4MLA) – Part 3 – Data Processing Architectures,” 28th Conference on Pattern Languages of Programs (PLoP 2021), pp. 1-11, 2021.
      • Scott Lupton, Hironori Washizaki, Nobukazu Yoshioka and Yoshiaki Fukazawa, “Online Log Parsing: Preliminary Literature Review,” The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021), Fast Abstract, pp. 1-2, Wuhan, China, Online, Oct 25 – 28, 2021.
      • Naoko Imai, Hironori Washizaki, Naohiko Tsuda and Yoshiaki Fukuzawa, “When is Continuous Integration Useful? Empirical Study on Team Size and Reporters in Development,” The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021), Fast Abstract, pp. 1-2, Wuhan, China, Online, Oct 25 – 28, 2021.
      • Jati H. Husen, Hnin Thandar Tun, Nobukazu Yoshioka, Hironori Washizaki and Yoshiaki Fukazawa, “Goal-Oriented Machine Learning-Based Component Development Process,” ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS), Poster Track, pp. 1-2, online, Sun 10 – Fri 15 October 2021.
      • Ziyang Li, Hironori Washizaki, Yoshiaki Fukazawa, “Feature Extraction Method for Cross-Architecture Binary Vulnerability Detection,” IEEE Global Conference on Consumer Electronics (GCCE 2021), pp.1-2, Kyoto, Online Oct 12-15, 2021.
      • Yusaku Ito, Hironori Washizaki, Kazunori Sakamoto, Yoshiaki Fukazawa, “Evaluating Partial Correctness of Programs in Automated Program Repair,” IEEE Global Conference on Consumer Electronics (GCCE 2021), pp.1-2, Kyoto, Online Oct 12-15, 2021.
      • Qicong Liu, Hironori Washizaki, Yoshiaki Fukazawa, “Adversarial Multi-Task Learning-Based Bug Fixing Time and Severity Prediction,” IEEE Global Conference on Consumer Electronics (GCCE 2021), pp.1-2, Kyoto, Online Oct 12-15, 2021.
      • Haruna Isotani, Hironori Washizaki, Yoshiaki Fukazawa, Tsutomu Nomoto, Saori Ouji and Shinobu Saito, “Duplicate Bug Report Detection by Using Sentence Embedding and Fine-tuning,” 37th IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Industry Track, full paper, online, September 27 – October 1, 2021
      • Koki Miura, Daisuke Saito, Hironori Washizaki and Yoshiaki Fukazawa, “Automated educational program mapping on learning standards in computer science,” 45th IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2021), Fast Abstract, pp. 1-2, 2021.
      • Yasuhiro Watanabe, Hironori Washizaki, Kazunori Sakamoto, Daisuke Saito, Kiyoshi Honda, Naohiko Tsuda, Yoshiaki Fukazawa, Nobukazu Yoshioka, “Preliminary Literature Review of Machine Learning System Development Practices,” 45th IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2021), Fast Abstract, pp. 1-2, 2021.
      • Yuki Noyori, Hironori Washizaki, Yoshiaki Fukazawa, Keishi Ooshima, Hideyuki Kanuka, Shuhei Nojiri, Ryosuke Tsuchiya, “Extracting features related to bug fixing time of bug reports by deep learning and gradient-based visualization,” 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA 2021), pp. 1-6, Dalian, China, June 28-30, 2021.
      • Makoto Shiraishi, Hironori Washizaki, Daisuke Saito, Yoshiaki Fukazawa, “Comparing participants’ brainwaves during Solo, Pair, and Mob Programming,” 22nd International Conference on Agile Software Development (XP 2021), short paper, online, June 14-18, 2021.
      • Hironori Washizaki, Atsuo Hazeyama, Takao Okubo, Hideyuki Kanuka, Shinpei Ogata, Nobukazu Yoshioka, “Analysis of IoT Pattern Descriptions,” 2021 IEEE/ACM 3rd International Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT 2021) , co-located with the 43rd ACM/IEEE International Conference on Software Engineering (ICSE 2021), June 3, 2021, online.
      • Shota Kaieda, Daisuke Saito, Hironori Washizaki, Yoshiaki Fukazawa, “Analysis of the use of Mentoring with Online Mob Programming,” IEEE EDUCON2021 Global Engineering Education Conference, Work-in-Progress Track, online, April 21st-23rd, 2021.
    • 国内研究会 Domestic technical meeting
      • 齋藤 優太, 坂本 一憲, 鷲崎 弘宜, 深澤 良彰, “WebAssemblyを対象としたCode Compactionツールの提案およびCode Compactionの有効性検証”, 情報処理学会第210回ソフトウェア工学研究発表会, オンライン, 2022年3月11日(金)～12日(土)
      • 園田 尚宣, 鷲崎 弘宜, 深澤 良彰, “Web APIの進化および伴うドキュメントの改訂に見られる傾向に関する定量的調査”, 情報処理学会第210回ソフトウェア工学研究発表会, オンライン, 2022年3月11日(金)～12日(土)
      • 高津 周佑, 鷲崎 弘宜, 深澤 良彰, “条件コンパイルディレクティブ中のマクロ変数によるC言語プロジェクトの複雑度の定量分析”, 情報処理学会第210回ソフトウェア工学研究発表会, オンライン, 2022年3月11日(金)～12日(土)
      • 鷲崎 弘宜, 植松 拓也, 三品 晴人, 世羅 俐恵, 津田 直彦, 深澤 良彰, 多賀 正博, 松崎 明, 本田 澄, 中川 和之, 酒井 優介, “B2Bソフトウェアサービスにおけるデータ駆動のペルソナ構築と活用に向けた予備的な事例研究”, 情報処理学会第210回ソフトウェア工学研究発表会, オンライン, 2022年3月11日(金)～12日(土)
      • 野村 典文, 新谷 勝利, 鷲崎 弘宜, 針原 英明, 伊藤 健一, “ゴール指向に基づくDX推進へのアプローチ: ケーススタディを通じた検証と課題”, 情報処理学会第210回ソフトウェア工学研究発表会, オンライン, 2022年3月11日(金)～12日(土)
      • 倉持雄樹, 坂本一憲, 鷲崎弘宜, 深澤良彰, “バグ修正とコードリーディング -アルゴリズム学習に適しているのはどちらか-“, 情報処理学会 コンピュータと教育研究会 160回研究発表会, オンライン, 2021年6月5日(土)-6日(日)
    • 国内大会 Domestic technical meeting
      • 浅野耀介, 古川貴一, 櫨山淳雄, 鷲崎弘宜, “ソフトウェア開発PBLで開発されたWebアプリケーションの変更要求による影響範囲の調査”, 電子情報通信学会 総合大会, オンライン, 2022年3月15日（火）〜18日（金）
      • 鷲崎弘宜, “デジタルトランスフォーメーション（DX）におけるソフトウェアの側面とダイバーシティ・インクルーシブに関する研究実践動向”, 情報処理学会ソフトウェア工学研究会ウィンターワークショップ WWS2022, pp. 1-2, オンライン, 2022.
      • 齋藤大輔, 矢島理勢, 鷲崎弘宜, 深澤良影, “プログラミング教育におけるルーブリック評価の一貫性と信頼性の分析”, しごと能力研究学会 2021年度全国大会, 10/30-31, 川崎医療福祉大学（岡山県）
      • 西澤利治, 増田朱紋, 齋藤大輔, 鷲崎弘宜, 深澤良影, “情報セキュリティ教育教材の学習到達段階目標の提案”, システム監査学会第34回公開シンポジウム, 2021年11月5日
      • 齋藤大輔, 坂本一憲, 鷲崎弘宜, 深澤良影, 内山宗一, Ramzi Ramzi, “プログラミング的思考力を育成するためのゲームの提案”, 日本デジタルゲーム学会(DiGRA JAPAN) 2021年夏季研究発表大会 , 2021/9/12
      • 磯谷 春奈，鷲崎 弘宜，深澤 良彰，野元 励，應治 沙織，斎藤 忍, 規模と複雑さおよび変更に着目した組込みソフトウェアアーキテクチャの保守性評価事例, 一般論文, ソフトウェアエンジニアリングシンポジウム2021（SES2021）, オンライン, 2021年9月6-8日
      • 鷲崎 弘宜，津田 直彦，溝口 将史，加藤 有真，吉村 健太郎, 規模と複雑さおよび変更に着目した組込みソフトウェアアーキテクチャの保守性評価事例, 一般論文, ソフトウェアエンジニアリングシンポジウム2021（SES2021）, オンライン, 2021年9月6-8日
      • 今井 菜緒子, 鷲崎 弘宜, 津田 直彦, 深澤 良彰, ソフトウェア開発において継続的インテグレーションが効果を発揮する条件, ポスター論文, ソフトウェアエンジニアリングシンポジウム2021（SES2021）, オンライン, 2021年9月6-8日
      • 鷲崎 弘宜, 町田 親紀, 原田 貴弘, 小松 康雄, 川勝 裕和, 井上 栄, 本田 亮, 林田 健, SNS上の活動データにおけるペルソナ候補の特定に基づくサービスやコンテンツの企画および推薦に向けて, ポスター論文, ソフトウェアエンジニアリングシンポジウム2021（SES2021）, オンライン, 2021年9月6-8日
      • 園田 尚宣 , 鷲崎 弘宜, 深澤 良彰, Web API ドキュメントに基づいた GET エンドポイントへのリクエストに関する調査, ポスター論文, ソフトウェアエンジニアリングシンポジウム2021（SES2021）, オンライン, 2021年9月6-8日
      • 芹沢 一, 中村 宏貴, 納富 昭, 鷲崎 弘宜, 車載ソフトウェアの自動並列化における品質保証上の課題と対策に向けて, ポスター論文, ソフトウェアエンジニアリングシンポジウム2021（SES2021）, オンライン, 2021年9月6-8日
      • 本田澄, 西尾達哉, 鷲崎弘宜, 深澤良彰, “オープンソースソフトウェアにおける Code Smell と対応するリファクタリングの特徴に関する調査”, ソフトウェアエンジニアリングシンポジウム2021（SES2021）, 実践論文ショートペーパ, オンライン, 2021年9月6-8日
      • 鷲崎弘宜, 竹内広宜, 名取直毅, “機械学習応用システムのデザインパターンの利用状況”, ポスター, 第4回機械学習工学研究会（MLSE夏合宿2021）, 2021年7月1日(木)ー7月3日(土)
    • 著書 Book
      • Naohiko Tsuda, Ankush Dadwal, Hironori Washizaki, Yoshiaki Fukazawa, Masashi Mizoguchi, Kentaro Yoshimura, “Prioritization in Automotive Software Testing: Systematic Literature Review and Directions for Future Research”, Chapter in “Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts”, CRC Press, June 2021
      • 鷲崎 弘宜, アジャイル品質はどのように取り組まれているのか？ – パターン QA to AQ の実践状況より, Ultimate Agile Stories 10th Anniversary, 2021.
    • 社会活動・学会活動 Social Activity and Acadeimic Society Activity
      • IARIA Fellow, 2022
      • IEEE Computer Society, Vice President for Professional and Educational Activities (PEAB), 2021-2022
      • IEEE Computer Society, Board of Governors (BoG) member, 2021-2023
      • ISO/IEC/JTC1 SC7/WG20, Convenor, 2017-2022
      • CSEE&T, Steering Committee Member, 2018-2022
      • APSEC, Steering Committee Member, 2018-2022
    • 表彰 Award
      • Hironori Washizaki, IEEE Computer Society Distinguished Contributor, 2022
      • 鷲崎 弘宜, KDDI Foundation Award 本賞, 2022年3月
      • 鷲崎 弘宜, 情報処理学会 感謝状, 2022年1月27日
      • Hironori Washizaki, IEEE Computer Society Golden Core Member, 2022
      • 鷲崎 弘宜, 情報処理学会情報規格調査会, 国際規格開発賞, 2021
      • 鷲崎 弘宜, 本位田 真一, 鄭 顕志, 内平 直志, 深澤 良彰, 令和3年度 科学技術分野の文部科学大臣表彰 科学技術賞（理解増進部門）, 2021.
    • その他 Else
      • Valliappa Lakshmanan, Sara Robinson, Michael Munn著, 鷲崎弘宜, 竹内広宜, 名取直毅, 吉岡信和 訳, “機械学習デザインパターン – データ準備、モデル構築、MLOpsの実践上の問題と解決”（原著 “Machine Learning Design Patterns”）, オライリージャパン, 2021.
      • 鷲崎 弘宜, DX時代に求められるソフトウェアの価値と品質および国際標準, 【Column】ソフトウェア品質はなぜ重要なのか？<連載>, ソフトウェア協会, 2021年12月3日
      • 鷲崎 弘宜, コラム: 海外比較を通じたDXに関する日本の人材育成とリカレント教育, 『DX白書2021 日米比較調査にみるDXの戦略、人材、技術』（IPA）, 2021年10月
      • 鷲崎弘宜, ネットワークソフトウェア対象のセキュリティ・プライバシ・トラストのエコシステム, 技術情報誌TELECOM FRONTIER, pp.1-4, No.111, 2021.
      • 鷲崎 弘宜, スマートエスイー DX 時代のAI・IoT およびビジネス応用のイノベーティブ人材リカレント教育, 人事実務, 産労総合研究所, 2021年4月号

  • 渡辺　裕 教授 Hiroshi WATANABE, Professor
    • 論文 Thesis
      • Toshiya Hori, Remina Yano, Hiroshi Watanabe, Takeshi Chujoh, Tomohiro Ikai, Eiichi Sasaki, Takuya Suzuki and Norio Ito: “Multi Frame Super-Resolution for Versatile Video Coding,” SPIE Procedings No.11766 (Extended paper of IWAIT), pp.1-6, Apr. 2021
    • 国際会議 International Conference
      • Kanako Marusaki and Hiroshi Watanabe: “GAN Using Capsule Network for Discriminator and Generator,” IEEE Global Conference on Consumer Electronics (GCCE), OS-AIP(2), pp.726-729, Oct. 2021.
      • Yuya Kato, Junichi Hara, and Hiroshi Watanabe: “Creation of 3D Environmental Map using Omnidirectional Camera Images,” IEEE Global Conference on Consumer Electronics (GCCE), OS-VDP, pp.522-525, Oct. 2021.
      • Marika Arimoto, Junichi Hara, and Hiroshi Watanabe: “An Image Inpainting Method Considering Edge Connectivity of Defects,” IEEE Global Conference on Consumer Electronics (GCCE), OS-TMR, pp.127-128, Oct. 2021.
      • Miho Takahashi and Hiroshi Watanabe: “Face Image Generation for Illustration by WGAN-GP Using Landmark Information,” IEEE Global Conference on Consumer Electronics (GCCE), OS-DSC, pp.989-990, Oct. 2021.
      • Remina Yano, Yun Liu, Hiroshi Watanabe, Takuya Suzuki, Takeshi Chujoh, and Tomohiro Ikai: “A Study of Video Super-Resolution Method Using Video Coded Data as Training Data,” IEEE Global Conference on Consumer Electronics (GCCE), OS-TMR(3), pp.304-305, Oct. 2021.
      • Yun Liu, Remina Yano, Hiroshi Watanabe, Takuya Suzuki, Takeshi Chujoh, and Tomohiro Ikai: “Text Image Super Resolution Using Deep Attention Neural Network,” IEEE Global Conference on Consumer Electronics (GCCE), OS-TMR(3), pp.306-308, Oct. 2021.
      • Khin Sabai Htwe and Hiroshi Watanabe: “Variant Graph Convolutional Networks for Skeleton-Based Hand Action Recognition,” IEEE Global Conference on Consumer Electronics (GCCE), OS-AIP(2), pp.730-731, Oct. 2021.
      • Toshiya Hori, Remina Yano, Hiroshi Watanabe, Takeshi Chujoh, Tomohiro Ikai, Eiichi Sasaki, Takuya Suzuki and Norio Ito: “Multi Frame Super-Resolution for Versatile Video Coding,” SPIE Procedings No.11766 (Extended paper of IWAIT), pp.1-6, Apr. 2021
      • Ahmad Moussa and Hiroshi Watanabe: “Generation and Extraction of Color Palettes with Adversarial Variational Auto Encoders,” 6th International Congress on Information and Communication Technology (ICICT2021) Feb. 2021.
    • 国内研究会 Domestic technical meeting
      • 大澤遼平, 渡辺裕: “選手の姿勢類似度に基づくスポーツ動作照合 (Sports Motion Matching Based on Athelete’s Pose Similarity)“, 情報処理学会オーディオビジュアル複合情報処理研究会AVM116, No.5, pp.1-3, Feb. 2022
      • 山野井祐介, 原潤一, 渡辺裕: “正常画像を用いた以上画像検知手法の検討 (A Study on Anormaly Detection Method Using Normal Images)“, 情報処理学会オーディオビジュアル複合情報処理研究会AVM116, No.7, pp.1-4, Feb. 2022
    • 国内大会 Domestic technical meeting
      • 矢野仁愛, 石川智愛, 渡辺裕, 安井正人: “CNNを応用した超解像技術とデノイズ処理による顕微鏡画像の高精細化技術の開発 (Development of high-definition technology for microscopic images via the fusion of Super-Resolution technology applying CNN and denoising processing)“, 情報処理学会第84回全国大会, 6Q-06, pp.2.259-260 Mar. 2022

  • 劉　江 准教授 Jiang LIU, Associate Professor
    • 論文 Thesis
      • Megumi Saito, Takashi Koshimizu, Zhenni Pan, Jiang Liu, Hayato Nakazawa, Shigeru Shimamoto, “Energy Borrowing Transmission Scheme Based on D2D Communication for 5G Networks”, IEEE Access, vol. 9, pp. 165841-165853, Dec.2021.[Abstract]In our paper, we proposed an Energy Borrowing (EB) transmission scheme which is used to conserve the battery life of user equipment (UE), such as a mobile phone. EB is based on device-to-device (D2D) communication and cellular networks, particularly, on out-band D2D (Wi-Fi Direct, IEEE 802.11) and 5G networks. Since D2D offers higher energy efficiency than cellular networks, in this scheme, a UE with low remaining battery power establishes a D2D connection with a nearby UE, and the nearby UE transfers the low remaining battery UE’s packets to/from gNB (5G-base station). As nearby UE plays an active role in the low remaining battery UE’s connection with gNB. Therefore, we can rephrase that a UE with low battery power is virtually borrowing the battery resources of a nearby UE. This paper introduces the operation protocol and procedure followed by EB with the use of Wi-Fi Direct and 5G networks. Experiments and simulations demonstrate that EB can extend terminal battery lifetime (a valuable characteristic for long-lasting batteries), and it is more effective as compared with the existing scheme that uses only the cellular network.
    • 国際会議 International Conference
      • Wataru Tachikawa, Ajgaonkar Swarali Ashish, Kazutoshi Yoshii, Jiang Liu, Shigeru Shimamoto, “Multi-layer Constellation based Is-OWC employing NOMA,” 2022 IEEE International Conference on Space Optical Systems and Applications (ICSOS), March, 2022, pp. 100-105, doi: 10.1109/ICSOS53063.2022.9749721.(Online)
      • Kosei Ono, Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu and Shigeru Shimamoto, “Performance Analysis of Intelligent Reflecting Surface-Assisted Orbital Angular Momentum-based Communication Systems”, 24th International Conference on Advanced Communications Technology (ICACT 2022), Phoenix Pyeongchang, Korea, Feb. 2022.(Online)
      • Li Ji, Jiang Liu, Shigeru Shimamoto, “Recognition of Japanese Sign Language by Sensor-Based Data Glove Employing Machine Learning”, 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022), Osaka, Japan, Mar. 2022. (Online)
      • Yosuke Higasa, Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu and Shigeru Shimamoto, Takuya Okura, Naoko Yoshimura, Amane Miura, Hiroyuki Tsuji, Morio Toyoshima, “Performance Analysis of DSSS-PDMA with SIC in GEO-Satellite-Terrestrial Uplink Networks”, 24th International Conference on Advanced Communications Technology (ICACT 2022), Phoenix Pyeongchang, Korea, Feb. 2022. (Online)
      • Changhao Liu, Jiang Liu, Shigeru Shimamoto, “Sign Language Estimation Scheme Employing Wi-Fi Signal”, 2021 IEEE Sensors Applications Symposium, Aug. 2021 (Online)
      • Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto, “Phase Control Scheme to Reduce Ionospheric Fading for Long Distance HF Communication”, IEEE 12th Wireless Days Conference, June, 2021. (Online)
      • Hinako Ochi,Shigeru Shimamoto, Jiang Liu, Yukino Yamaoka, “Non-contact Blood Pressure Estimation withPulse WaveemployingMicrowave Reflection”, 2021 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1-6,　Jun. 2021 (Online)

  • 佐藤　拓朗 特任研究教授 Takuro SATO, Senior Research Professor
    • 国際会議 International Conference
      • Toshio Sato, Xin Qi, Keping Yu, Zheng Wen, Yutaka Katsuyama,Takuro Sato, “Position Estimation of Pedestrians in Surveillance Video Using Face Detection and Simple Camera Calibration, 17th International Conference on Machine Vision Applications (MVA2021), 2021. 7. 25.[要約]カメラ画像から人物の立つ位置を推定する手法の提案
      • Xin Qi, Toshio Sato, Keping Yu, Zheng Wen, San Hlaing Myint, Yutaka Katsuyama, Kazuhiko Tamesue, Kiyohito Tokuda, Takuro Sato, “Content-oriented Multicamera Trajectory Forecasting　Surveillance Network System”, The 12th International Conference on Ubiquitous and Future Networks (ICUFN2021), 2021. 8. 17.[要約]複数の監視カメラ内の人物を追跡する情報指向ネットワークについて提案
      • San Hlaing Myint, Yutaka Katsuyama, Toshio Sato, Kazuhiko Tamesue, Xin Qi, Naruto Yonemoto, Zheng Wen, Keping Yu, Masahide Abe, Kiyohito Tokuda, Takuro Sato, “Millimeter Wave Interferometric Active Imaging and Image Reconstruction”, The 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR 2021), 2021. 11. 2.[要約]ミリ波アクティブイメージャの画像再構成に関する研究内容を発表
      • San Hlaing Myint, Yutaka Katsuyama, Toshio Sato, Kazuhiko Tamesue, Xin Qi, Zheng Wen, Keping Yu, Masahide Abe, Kiyohito Tokuda, Takuro Sato, “Deep Learning Based Concealed Object　Recognition in Active Millimeter Wave Imaging”, Asia Pacific Microwave Conference (APMC2021), 2021. 12. 1.[要約]ミリ波アクティブイメージャの画像を用いた不審物認識
      • Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato, “Ledger-based Points Transfer System in LPWAN: From Disaster Management Aspect”, 2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2021. 12. 5.[要約]LPWAネットワークとブロックチェーンを使ったポイント交換システムにおける災害時のシミュレーション
      • Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato, “Optimizing Packet Transmission for Ledger-Based Points Transfer System in LPWAN: Solutions, Evaluation and Standardization”,ITU Kaleidoscope, 2021. 12. 7.[要約]LPWAネットワークとブロックチェーンを使ったポイント交換システムにおける通信容量の削減に関する検討
      • Yutaka Katsuyama, Keping Yu, Toshio Sato, Xin Qi, Zheng Wen, Kazuhiko Tamesue, Kiyohito Tokuda, Wataru Kameyama, Takuro Sato, Anh H. Dang , “AI-based system using a W-band hybrid imaging radar for identifying suspicious objects in a public walking environment”, 24th International Symposium on Wireless Personal Multimedia Communications (WPMC 2021), 2021. 12. 15.[要約]ミリ波イメージャを用いた歩行中の人物に対する不審物認識方法の発表
      • Hironori Dobashi, Ikuo Koyama, Yasushi Murakami, Toshio Sato, Yutaka Katsuyama, Xin Qi, San Hlaing Myint, Zhen Wen, Keping Yu, Kazuhiko Tamesue, Kiyohito Tokuda, Takuro Sato, “A Two-stage Walkthrough Screening of Persons with Concealed Threat Objects using a Millimeter-wave Radar and an Imager”, 24th International Symposium on Wireless Personal Multimedia Communications (WPMC 2021), Okayama, 2021. 12. 15.[要約]ミリ波レーダとミリ波イメージャを組み合わせた不審物・不審者認識システム
    • 国内研究会 Domestic technical meeting
      • 江口力哉，佐古和恵，徳武孝紀，丸山優祐，佐藤俊雄，余恪平，文鄭，斉欣，柴田巧一，佐藤拓朗，“LPWAネットワークに適したノード間分散台帳方式の分割に関する一考察”，2022年暗号と情報セキュリティシンポジウム（SCIS2022)，2022年1月19日.
      • 丸山優祐，佐古和恵，徳武孝紀，江口力哉，佐藤俊雄，余恪平，文鄭，斉欣，柴田巧一，佐藤拓朗，“LPWAネットワーク上の分散台帳を用いたポイント取引システムの端末設計”，2022年暗号と情報セキュリティシンポジウム（SCIS2022)，2022年1月19日.
    • 国内大会 Domestic technical meeting
      • 川西哲也，爲末和彦，実野邦久，佐藤俊雄，佐藤拓朗，西堀俊幸，山中宏治，“THz 帯 NTN 通信システムの設計”，2022年電子情報通信学会総合大会，2022年3月18日.
      • San Hlaing Myint, Kazuhiko Tamesue, Kunihisa Jitsuno, Toshio Sato1, Takuro Sato, Yutaka Katsuyama, Toshiyuki Nishibori,Tetsuya Kawanishi, “100GHz 16-APSK Modulator and Compensation for triple multiplier RF Power Amplifier”, 2022年電子情報通信学会総合大会，2022年3月18日.
      • 齊藤恵里香，亀山渉，佐藤俊雄，勝山　裕，佐藤拓朗，“パッシブイメージャ画像とアクティブイメージャ画像を利用した不審物検知手法の評価”，2022年電子情報通信学会総合大会，2022年3月18日.
      • 佐藤俊雄，文鄭，竹内健，爲末和彦，勝山裕，佐古和恵，甲藤二郎，佐藤拓朗，“信頼性の高い位置情報獲得のための偽装データの検出”，2022年電子情報通信学会総合大会，2022年3月18日.
    • 特許 Patent
      • 特願2022-002672：西清次, 佐藤拓朗, “アレーアンテナ”, 2022年1月12日．
      • 特願2022-029141：佐藤俊雄, 文鄭, 佐古和恵, 甲藤二郎, 佐藤拓朗, “情報処理装置及び情報処理方法”, 2022年1月12日．
    • その他 Else
      • 早稲田オープン・イノベーション・フォーラム2021紹介資料 2022年3月．
      • “早大、カメラ映像から人の位置推定”, 日刊工業新聞、2021年7月28日．

  • パン　ジェニー 講師（任期付） Zhenni PAN, Assistant Professor(without tenure)
    • 論文 Thesis
      • Megumi Saito, Takashi Koshimizu, Zhenni Pan, Jiang Liu, Hayato Nakazawa, Shigeru Shimamoto, “Energy Borrowing Transmission Scheme Based on D2D Communication for 5G Networks”, IEEE Access, vol. 9, pp. 165841-165853, Dec. 2021
    • 国際会議 International Conference
      • Kosei Ono, Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu and Shigeru Shimamoto, “Performance Analysis of Intelligent Reflecting Surface-Assisted Orbital Angular Momentum-based Communication Systems”, 24th International Conference on Advanced Communications Technology (ICACT 2022), Phoenix Pyeongchang, Korea (Online), Feb. 2022.
      • Yosuke Higasa, Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu and Shigeru Shimamoto, Takuya Okura, Naoko Yoshimura, Amane Miura, Hiroyuki Tsuji, Morio Toyoshima, “Performance Analysis of DSSS-PDMA with SIC in GEO-Satellite-Terrestrial Uplink Networks”, 24th International Conference on Advanced Communications Technology (ICACT 2022), Phoenix Pyeongchang, Korea (Online), Feb. 2022.
      • Dhruba Dhakal, Zhenni Pan, and Shigeru Shimamoto, “Resource Allocation for Weighted Max-min Fairness in NOMA with Imperfect SIC”, 2022 IEEE/SICE International Symposium on System Integration (SII), Narvik, Noway (online), Jan. 2022.
      • Yuta Tuzuki, Zhenni Pan, Shigeru Shimamoto, “Evaluations of SIC by Power Difference in IM-NOMA”, IEEE 12th Wireless Days Conference, Paris, France (Online), June, 2021
      • Kazutoshi Yoshii, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto, “Phase Control Scheme to Reduce Ionospheric Fading for Long Distance HF Communication”, IEEE 12th Wireless Days Conference, Paris, France (online), June, 2021.
  • 文　鄭 講師（任期付） Zheng WEN, Assistant Professor(without tenure)

研究開発プロジェクト報告 Report of Research Development Project

付録 Appendix

  • 大学院国際情報通信研究科・国際情報通信研究センター構成員一覧
12 DECEMBER 2022
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