河崎隆文, and 中澤仁. “SDS : Pub/Subモデルに基づく時間を用いたサブスクライバドリブンなデータ配信システム (特集 ソフトウェア論文).” コンピュータソフトウェア = Computer Software, vol. 39, no. 1, Feb. 2022, pp. 3–17, https://ci.nii.ac.jp/naid/40022821032/.

佐々木航, et al. “SFC GO：学生同士の繋がりを支援するオンライン体育授業サポートシステム.” 情報処理学会論文誌デジタルプラクティス（TDP）, vol. 3, no. 1, Jan. 2022, pp. 19–33.

Zeng, Shuiguang, et al. “Visibility Graph Entropy Based Radiometric Feature for Physical Layer Identification.” Ad Hoc Networks, vol. 127, 2022, p. 102780, https://doi.org/10.1016/j.adhoc.2022.102780.

Huang, Zhao, et al. “RPPUF: An Ultra-Lightweight Reconfigurable Pico-Physically Unclonable Function for Resource-Constrained IoT Devices.” Electronics, vol. 10, no. 23, Dec. 2021, p. 3039, https://doi.org/10.3390/electronics10233039.

泰人中西, et al. “スマートシティとポスト人間中心デザイン.” サービソロジー, vol. 7, no. 1, Nov. 2021, pp. 29–34, https://doi.org/10.24464/SERVICEOLOGY.7.1_29.

Voutyras, Orfefs, et al. “A Methodology for Generating Systems Architectural Glimpse Statements Using the 5W1H Maxim.” Multidisciplinary Digital Publishing Institute, vol. 10, no. 10, Oct. 2021, p. 131, https://doi.org/10.3390/COMPUTERS10100131.

Kawasaki, Takafumi, and Jin Nakazawa. “SDS : Pub/Subモデルに基づく時間を用いたサブスクライバドリブンなデータ配信システム.” ソフトウェア学科会ソフトウェア論文特集号, 2021.

Tang, Pingping, et al. “QoE-Aware Traffic Aggregation Using Preference Logic for Edge Intelligence.” IEEE Transactions on Wireless Communications, vol. 20, no. 9, 2021, pp. 6093-- 6106, https://doi.org/10.1109/TWC.2021.3071745.

Kawasaki, Maki, et al. “Protocol for an Interventional Study to Reduce Postpartum Weight Retention in Obese Mothers Using the Internet of Things and a Mobile Application: A Randomized Controlled Trial (SpringMom).” BMC Pregnancy and Childbirth, vol. 21, no. 1, 2021, p. 582, https://doi.org/10.1186/S12884-021-03998-W.

Palaiokrassas, Georgios, et al. “Combining Blockchains, Smart Contracts, and Complex Sensors Management Platform for Hyper-Connected SmartCities: An IoT Data Marketplace Use Case.” Multidisciplinary Digital Publishing Institute, vol. 10, no. 10, 2021, p. 133, https://doi.org/10.3390/COMPUTERS10100133.

西山勇毅, et al. “感染症流行時におけるスマートフォンを用いた大学生の身体活動量分析.” 情報処理学会論文誌, vol. 62, no. 10, 2021, pp. 1630--1643, http://id.nii.ac.jp/1001/00213189/.

Sasaki, Wataru, et al. “Investigating the Occurrence of Selfie-Based Emotional Contagion over Social Network.” Springer, vol. 11, no. 1, 2021, p. 8, https://doi.org/10.1007/s13278-020-00712-0.

Huang, Zhao, et al. “A Survey on Machine Learning against Hardware Trojan Attacks: Recent Advances and Challenges.” IEEE Access, vol. 8, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 10796–10826, https://doi.org/10.1109/ACCESS.2020.2965016.

三上量弘, et al. “DeepCounter:深層学習を用いた細粒度なゴミ排出量データ収集手法定.” 情報処理学会論文誌, vol. 61, no. 1, 2020, pp. 36–48.

Visuri, Aku, et al. “Understanding Smartphone Notifications’ User Interactions and Content Importance.” International Journal of Human-Computer Studies, vol. 128, Aug. 2019, pp. 72–85, https://doi.org/10.1016/J.IJHCS.2019.03.001.

Chen, Yin, et al. “Cruisers: An Automotive Sensing Platform for Smart Cities Using Door-to-Door Garbage Collecting Trucks.” Ad Hoc Networks, vol. 85, Mar. 2019, pp. 32–45, https://doi.org/10.1016/J.ADHOC.2018.10.018.

HAYAKAWA, Yutaro, et al. “Resilient Edge: A Scalable, Robust Network Function Backend.” IEICE Transactions on Information and Systems, vol. E102.D, no. 3, Mar. 2019, pp. 550–558, https://doi.org/10.1587/transinf.2018edp7176.

栄元優作, et al. “HealthyStadium：他者評価とゲーミフィケーションを用いた食習慣改善ソーシャルメディア.” 情報処理学会論文誌, vol. 60, no. 10, 2019, pp. 1881–1895.

谷村朋樹, et al. “GANonymizer: 物体検出と敵対的生成を用いた映像匿名化手法.” 情報処理学会論文誌, vol. 60, no. 10, 2019, pp. 1829–1844.

Okoshi, Tadashi, et al. “Real-World Large-Scale Study on Adaptive Notification Scheduling on Smartphones.” Pervasive and Mobile Computing, vol. 50, Oct. 2018, pp. 1–24, https://doi.org/10.1016/J.PMCJ.2018.07.005.

坂村美奈, et al. “みなレポ：地方自治体の日常的な行政業務における参加型センシングによる情報収集・共有システム.” デジタルプラクティス, vol. 9, no. 2, Apr. 2018, pp. 550–572, https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=186948&item_no=1.

Okoshi, Tadashi, et al. “WellComp 2021: Fourth International Workshop on Computing for Well-Being.” Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, ACM, 2021, pp. 108–11, https://doi.org/10.1145/3460418.3479262.

Exler, Anja, et al. “UbiTtention 2019: 4th International Workshop on Smart & Ambient Notification and Attention Management.” Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC ’19, ACM Press, 2019, pp. 1054–1057, https://doi.org/10.1145/3341162.3347766.

Okoshi, Tadashi, et al. “WellComp 2019: Second International Workshop on Computing for Well-Being.” Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC ’19, ACM Press, 2019, pp. 1146–1149, https://doi.org/10.1145/3341162.3347073.

Okoshi, Tadashi, et al. “WellComp 2018: First International Workshop on Computing for Well-Being.” Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp ’18, ACM Press, 2018, pp. 684–687, https://doi.org/10.1145/3267305.3274136.

Weber, Dominik, et al. “UbiTtention 2018: 3rd International Workshop on Smart & Ambient Notification and Attention Management.” Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp ’18, ACM Press, 2018, pp. 1190–1193, https://doi.org/10.1145/3267305.3274143.

Hamanaka, Satoki, et al. A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning. 2021, p. 4.

Kawasaki, Takafumi, et al. A Mobility-Aware Pub/Sub Architecture for Short-Lived Data in Smart Cities. Association for Computing Machinery (ACM), 2020, pp. 645--646, https://doi.org/10.1145/3384419.3430448.

Isokawa, Naohiro, et al. “AffectiveNemo: Promoting Owner-Fish Interaction by Displaying Observed Fish Emotion with Speech Bubble.” Proceedings of the Sixth International Conference on Animal-Computer Interaction, Association for Computing Machinery, 2019, pp. 1–5, https://doi.org/10.1145/3371049.3371067.

Katsumata, Kento, et al. “Motivating Long-Term Dietary Habit Modification through Mobile MR Gamification.” Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services - MobiSys ’19, ACM Press, 2019, pp. 671–672, https://doi.org/10.1145/3307334.3328575.

Katayama, Shin, et al. “Demo: Situation-Aware Conversational Agent with Kinetic Earables.” Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services - MobiSys ’19, ACM Press, 2019, pp. 657–658, https://doi.org/10.1145/3307334.3328569.

Xi, Wang, et al. Lower Face Inpainting Aiming at Face Recognition under Occlusion. IEEE PerCom’22, 2022.

Sasaki, Wataru, et al. “Estimating Symptoms Caused by CIPN Using Mobile and Wearable Devices.” Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, ACM, 2020, pp. 696–699, https://doi.org/10.1145/3410530.3414435.

Okoshi, Tadashi, et al. “Behavification: Bypassing Human’s Attentional and Cognitive Systems for Automated Behavior Change.” Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, ACM, 2020, pp. 692–695, https://doi.org/10.1145/3410530.3414439.

Sasaki, Wataru, et al. “SmileCityReport: Emotion-Aware Participatory Sensing for Smart Cities with Double-Sided Photo Shooting.” Proceedings of the 18th Annual IEEE International Conference on Pervasive Computing and Communications - PerCom ’20, 2020.

Huang, Zhao, et al. “A Survey on Machine Learning against Hardware Trojan Attacks: Recent Advances and Challenges.” IEEE Access, vol. 8, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 10796–10826, https://doi.org/10.1109/ACCESS.2020.2965016.

Giang, Nam Ky, et al. “CityFlow: Exploiting Edge Computing for Large Scale Smart City Applications.” 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings, IEEE, 2019, pp. 1–4, https://doi.org/10.1109/BIGCOMP.2019.8679234.

Okoshi, Tadashi, et al. “Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones.” Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD ’19, ACM Press, 2019, pp. 2792–2800, https://doi.org/10.1145/3292500.3330732.

Katsumata, Kento, et al. “SleepThermo: The Affect of in-Cloth Monitored Body Temperature Change during Sleep on Human Well-Being.” Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, ACM, 2019, pp. 1174–1177, https://doi.org/10.1145/3341162.3347079.

Katayama, Shin, et al. “Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables.” 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), 2019, pp. 725–731, https://ieeexplore.ieee.org/document/8925449 http://www.uxmatters.com/mt/archives/2009/07/laddering-a-research-.

Chen, Yin, et al. “OmimamoriNet: An Outdoor Positioning System Based on Wi-SUN FAN Network.” 2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU), IEEE, 2018, pp. 1–6, https://doi.org/10.23919/ICMU.2018.8653618.

Mikami, Kazuhiro, et al. “DeepCounter: Using Deep Learning to Count Garbage Bags.” 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), IEEE, 2018, pp. 1–10, https://doi.org/10.1109/RTCSA.2018.00010.

Nukita, Tetsuo, et al. “Damaged Lane Markings Detection Method with Label Propagation.” 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), IEEE, 2018, pp. 203–208, https://doi.org/10.1109/RTCSA.2018.00032.

Nozaki, Hiroki, et al. “Continuous Shape Changing Locomotion of 32-Legged Spherical Robot - IEEE Conference Publication.” IEEE International Conference on Intelligent Robots and Systems, 2018, pp. 2721–2726, https://ieeexplore.ieee.org/abstract/document/8593791.

Eigen, Yusaku, et al. “Meal Photo SNS with Mutual Healthiness Evaluation for Improving Users’ Eating Habits.” Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018, pp. 339–342, https://doi.org/10.1145/3267305.3267584.

Mikami, Kazuhiro, et al. “Using Deep Learning to Count Garbage Bags.” Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, ACM, 2018, pp. 329–330, https://doi.org/10.1145/3274783.3275167.

Katayama, Shin, et al. “Providing Information of Hidden Spot for Tourists to Increase Tourism Satisfaction.” Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018, pp. 377–380, https://doi.org/10.1145/3267305.3267647.

Sasaki, Wataru, et al. “Comparing ESM Timings for Emotional Estimation Model with Fine Temporal Granularity.” Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018, pp. 722–725, https://doi.org/10.1145/3267305.3267699.

Yonezawa, Takuro, et al. “Accelerating Urban Science by Crowdsensing with Civil Officers.” Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018, pp. 303–306, https://doi.org/10.1145/3267305.3267641.

Nishiyama, Yuuki, et al. “Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream.” Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, ACM, 2018, pp. 291–291, https://doi.org/10.1145/3236112.3236154.

Park, HyeonJung, et al. “Improved Smartphone Driving Mode System Design with Differentiated Notifications.” Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018, pp. 1256–1262, https://doi.org/10.1145/3267305.3274116.

福田峻, et al. 画像認識を利用した測定値の自動データ化. 慶應義塾大学総合政策学部, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部, 2022.

Wataru, Sasaki, et al. Estimating Emotional States of Internet Users in Real-World Situation. Keio University, Keio University, Keio University, Keio University, Keio University, 2022.

Zeng, Shuiguang, et al. “Visibility Graph Entropy Based Radiometric Feature for Physical Layer Identification.” Ad Hoc Networks, vol. 127, 2022, p. 102780, https://doi.org/10.1016/j.adhoc.2022.102780.

坂内理人, et al. 物体検出を用いた道路陥没箇所検出モデルにおける合成画像を使用した学習の有効性の検討. 情報処理学会, 2021, p. 8.

別宮広朗, et al. 物体検出とセマンティックセグメンテーションによる車道上に限定した未知物体検出手法の提案. 情報処理学会, 2021, p. 8.

Takafumi, Kawasaki, et al. SOXCollaborator: A Bridge System to Realize Open-Data Commerce by Collaborating with SOXFire and Blockchain Marketplace. Keio University／Graduate School of Media and Governance, National Technical University of Athens／School of Electrical and Computer Engineering, Keio University／Graduate School of Media and Governance／YRP R&D Promotion Committee, Keio University／Information and Environment, National Technical University of Athens／School of Electrical and Computer Engineering, Keio University／Information and Environment, 2021.

岩田あきほ, et al. “深層学習を用いたフィギュアスケートにおけるステップシークエンスのエレメント認識.” 2021年度人工知能学会全国大会（第35回）, 人工知能学会, 2021.

牧野青希, et al. サーバレスシステムにおける応答速度の改善. 2021, p. 8.

Wenhao, Huang, et al. Bus Crowdedness Sensing Based on Deep Learning. 情報処理学会, 2021, pp. 1--7, http://id.nii.ac.jp/1001/00212340/.

小澤遼, et al. 精度，推論速度及び消費電力の制御によるニューラルネットワークの自動構築化手法. 情報処理学会, 2021, pp. 1--8.

Yamane, Taku, et al. ManWaKei: Measuring the Amount of Speech and Investigating Its Effect on Stress. 情報処理学会学会, 2021, pp. 1--8.

沖原周佑, et al. スマートウォッチを用いた参加型降水センシングシステム. 情報処理学会, 2021, pp. 1--8, http://id.nii.ac.jp/1001/00211343/.

助川友理, et al. ADLoggerタスク別時間記録システムの構築の提案. 情報処理学会, 2021, pp. 1--7.

別宮別宮, et al. “ベイズ最適化と蒸留を用いた最適な圧縮モデル探索手法の提案.” 研究報告ユビキタスコンピューティングシステム（UBI）, vol. 2021-UBI69, 2021, pp. 1--8.

川島寛乃, et al. “償却推論にもとづいた継続学習.” 一般社団法人 人工知能学会 第34回全国大会(2020), 2020.

岩田あきほ, et al. “SkateNet:深層学習モデルを用いたフィギュアスケートにおけるステップシークエンスのエレメント認識.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 2020-UBI-6, 2020.

栄元優作, et al. “モバイルコンピューティングによるエモーショナル・イーティングの検知.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 65, 2020, pp. 1–8.

姜欣怡, et al. “IoTを用いた健康への温浴効果：予備的準実験研究.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 2020-UBI-6, 2020.

本木悠介, et al. “画像認識を用いた看板広告の検出に適した状況および媒体の調査.” 研究報告ユビキタスコンピューティングシステム（UBI）, vol. 2020-UBI-6, 2020, pp. 1 – 8.

柘植晃, et al. “横須賀市「ハイブリッドLPWAテストベッド」の取組みについて.” 電子情報通信学会総合大会2020, 2020.

野田悠加, et al. “Personality Based Behavior Change Interventions to Increase UV-B Exposure.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 2020-UBI-6, 2020.

大村昇平, et al. “フットサル動画分析のためのデータ収集システム.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 2020-UBI-6, 2020.

河崎隆文, et al. “Wi-Fi パケットキャプチャリングによる人流把握および人の移動 に合わせた Pub/Sub メッセージング基盤システムの構築.” 電気・電子・情報関係学会東海支部連合大会, 2020.

柘植晃, et al. “センサーネットワークとレーダーセンシング技術を活用した医療・介護支援システムの研究開発 ～ 介護現場における機能確認試験結果と今後の課題について ～.” 信学技報, vol. 119, 2019, pp. 109–114.

山田佑亮, et al. “CiCADA: 継続的なドメイン適応のための条件付き敵対的学習.” 第22回 画像認識・理解シンポジウム, 2019.

柘植晃, et al. “医療介護施設現場を想定した施設内外を適度にカバー可能なWi-SUN FANによるマルチホップセンサーネットワークの構築.” 信学技報, vol. 119, 2019, pp. 121–126.

海法修平, et al. “Ortho-Detector: オルソ画像を用いた海岸ゴミ検出手法の提案と検出タスクの分析.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 64, 2019, pp. 1–8.

大越匡, et al. “人の限定合理性を超越した行動変容支援に向けた情報プラットフォームの設計.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 2019-UBI-6, 2019, pp. 1–6.

谷村朋樹, et al. “GANonymizerV2: 物体の影領域を考慮した都市画像の匿名化手法.” 第22回 画像認識・理解シンポジウム, 2019.

大越匡, et al. “人の限定合理性を超越した行動変容支援に向けた情報プラットフォームの設計.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 2019-UBI-6, 2019, pp. 1–6.

日下部眞太郎, et al. Twitterにおける虚偽情報拡散抑制に向けた情報拡散コミュニティ可視化手法の検討. 情報処理学会, 2018, https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=192543&item_no=1&page_id=13&block_id=8.

米澤拓郎, et al. SOXFire: XMPPに基づく都市センサ情報流通基盤. Kodansha International, 2018, https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=190967&item_no=1.

羽柴彩月, et al. “ユーザの記録表示を通じた学習の動機づけ向上.” 情報処理学会研究報告. UBI, [ユビキタスコンピューティングシステム], vol. 2018-UBI-5, Bunka Shuppankyoku, 2018, pp. 1–7, https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=191024&item_no=1&page_id=13&block_id=8.

米澤拓郎, et al. “自治体職員参加型センシングによる業務効率化と都市理解の向上.” マルチメディア，分散協調とモバイルシンポジウム2018論文集, vol. 2018, 2018, pp. 320–329, https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=193477&item_no=1.

山田佑亮, et al. “深層学習を用いた高解像度画像からの人物カウント.” 人工知能学会全国大会論文集 第 32 回全国大会, 一般社団法人 人工知能学会, 2018, pp. 4Pin105–4Pin105, https://doi.org/10.11517/PJSAI.JSAI2018.0_4PIN105.

川島寛乃, et al. “Neural Processによる意味的整合性を考慮した文書生成.” 第22回情報論的学習理論ワークショップ, 2019.