Faculty Profiles - YONEZAWA Takuro

Papers - YONEZAWA Takuro

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Clustering-Based Multitask Classification for Predictive Consumer Behavior Modeling Reviewed

Park, S; Hossain, T; Yonezawa, T; Kawaguchi, N

2025 INTERNATIONAL CONFERENCE ON ACTIVITY AND BEHAVIOR COMPUTING, ABC 2025

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：2025 International Conference on Activity and Behavior Computing Abc 2025

Understanding customers and segmenting in an appropriate way play a vital role in business operations and effective marketing strategies. It helps target specific customer groups for increased engagement and profit. However, traditional approaches often struggle to predict future purchase patterns, especially when user data is sparse and fragmented across multiple sources. This research proposes a novel clustering-based multitask classification method to address these limitations. We integrated the Recency, Frequency Monetary (RFM) model to cluster customers based on their purchase patterns from various purchase categories (tickets, merchandise, fan club membership) to create a more comprehensive understanding of loyalty for a professional basketball team in Japan. The proposed model predicts a customer’s segment across all purchase categories, implying the potential relationships between each category. Initial results demonstrate that the model effectively analyzes purchase behaviors, offering actionable insights to enhance marketing strategies.

DOI： 10.1109/ABC64332.2025.11118620

Web of Science

Scopus

Towards Internet of Realities-Vision and Challenges Reviewed

Yonezawa T.

Proceedings 2025 IEEE International Symposium on Emerging Metaverse Isemv 2025 2025

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings 2025 IEEE International Symposium on Emerging Metaverse Isemv 2025

The evolution of information technology is diversifying the concept of 'reality,' creating challenges such as the fragmentation of individual experiences and societal division. We propose the 'Internet of Realities' (IoR), a research vision to address these issues by securely connecting and mediating diverse realities. The IoR framework handles not only objective 'facts' but also subjective individual 'realities' and collective 'shared realities.' To achieve this, it presents key terminology and a reference architecture based on three pillars: Reality Embedding (modeling realities), Reality Hosting (managing realities), and Reality Networking (connecting realities). We demonstrate the framework's effectiveness through applications like remote communication, virtual tourism, and a large-scale field experiment, and calls for collaborative research within an interdisciplinary community.

DOI： 10.1109/ISEMV67326.2025.00035

Scopus

Joint Black-Box Optimization of Warehouse Layout and Worker Assignment Using Quantum Annealing and Factorization Machines Reviewed

Takaki K., Asai Y., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

Conference Proceedings IEEE International Conference on Systems Man and Cybernetics page： 4837 - 4844 2025

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Conference Proceedings IEEE International Conference on Systems Man and Cybernetics

As global demand for logistics continues to grow, improving the efficiency of warehouse operations has become increasingly important. While many processes in logistics warehouses have been automated, the receiving area still relies heavily on manual work. Therefore, optimizing this area is essential. When optimizing operations in a logistics warehouse, various problems must be considered, such as layout design and worker assignment. Previous research has typically focused on these problems individually. However, because they are closely related, jointly optimizing them can further improve overall efficiency. In this study, we focus on the receiving area and conduct joint optimization of layout design and worker assignment. Specifically, we extend and apply a black-box optimization method called FMQA, which combines Factorization Machines (FM) with Quantum Annealing (QA). By using Factorization Machine regression, we build an objective function from simulator data. We then use Quantum Annealing to minimize it and improve the receiving area. A comparison with an actual warehouse environment, using the multi-agent simulator, shows that our approach can reduce mean package processing time by up to 22.1%. This result demonstrates the effectiveness of joint optimization of layout design and worker assignment.

DOI： 10.1109/SMC58881.2025.11342838

Scopus

共通潜在空間を介した多様な都市データのクロスモーダル分析手法 Open Access

田村直樹, 寺島青, 庄子和之, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

第84回UBI研究会 2024.11

時系列滞在頻度傾向と移動傾向を組み合わせた移動先予測手法 Open Access

寺島青, 髙木峻, 田村直樹, 庄子和之, Tahera Hossain, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

第84回UBI研究会 2024.11

EngagedSync ： MR 共有空間内ユーザの相互状況理解向上のための適応的な周辺環境情報抽出・転送システム Open Access

志村魁哉, 加納一馬, Tahera Hossain, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

第84回UBI研究会 2024.11

自律移動ロボットを用いた人流計測のための探索経路生成 Reviewed Open Access

下里浩昇, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

情報処理学会論文誌 Vol. 65 ( 10 ) page： 1511 - 1522 2024.10

DiverCityMeter: GPSデータのみを用いた生活パターン多様性から見る COVID-19 の影響分析に関する研究

庄子和之，寺島青，田村直樹，片山晋，浦野健太，米澤拓郎，河口信夫

第112回MBL研究会 2024.9

遠隔MRロボットアーム制御によるスマートな3Dスキャンシステム

宇佐美龍斗、渡邉企章、具志祐希、筒井秀斗、渡辺圭貴、加納一馬、相川雄也、志村魁哉、林田望海、浦野健太、米澤拓郎、河口信夫

第29回日本バーチャルリアリティ学会大会 2024.9

スマートフォン・全方位カメラを用いた作業効率化のための半自動天伏図作成システム

小濱大輝，永田吉輝，安武和成，酒見和幸，片山晋，浦野健太，米澤拓郎，河口信夫

令和6年度空気調和・衛生工学会大会 2024.9

Autoware-in-Forest: 森林環境における丸太運搬フォワーダの自動走行

浦野健太, 米澤拓郎, 河口信夫

第42回日本ロボット学会学術講演会（RSJ2024） 2024.9

3次元点群解析に基づくロボット移動可能領域の半自動認識手法

相川雄也，片山晋，浦野健太，米澤拓郎，河口信夫

第42回日本ロボット学会学術講演会（RSJ2024） 2024.9

エッジ音声処理とCAN通信を用いた多数接続可能な発話方向推定システム

市川　直人，加納　一馬，永田　吉輝，片山　晋，浦野　健太，米澤　拓郎，河口　信夫

電気・電子・情報関係学会東海支部連合大会 2024.8

物流倉庫におけるスマートフォンを用いた作業者のタスク認識

渡邊企章，加納一馬，片山晋，浦野健太，米澤拓郎，河口信夫

電気・電子・情報関係学会東海支部連合大会 2024.8

マルチカメラによるオクルージョン回避を用いた荷物置き場の占有状況検出

具志祐希，加納一馬，片山晋，浦野健太, 米澤拓郎, 河口信夫

電気・電子・情報関係学会東海支部連合大会 2024.8

天伏図自動復元のための設備位置・形状アライメント手法

小濱大輝，永田吉輝，安武和成，片山晋，浦野健太，米澤拓郎，河口信夫

第42回電気設備学会全国大会 2024.8

アノテーションロスを克服するラベル付き画像セグメントの合成によるデータ拡張

加納一馬，森裕輝，東浦圭亮，Tahera HOSSAIN，片山晋，浦野健太，米澤拓郎，河口信夫

画像電子学会年次大会（MCC2024） 2024.8

NSP-BERT：滞在時間を考慮に入れた効率的なNext Stay予測手法 Reviewed

寺島青, 田村直樹, 庄子和之, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

マルチメディア，分散，協調とモバイル(DICOMO2024)シンポジウム page： 1531 - 1537 2024.6

エッジAI向け物体検出モデル作成におけるアノテーション効率化手法 Reviewed

森裕輝, 浅井悠佑, 東浦圭亮, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

マルチメディア，分散，協調とモバイル(DICOMO2024)シンポジウム page： 292 - 301 2024.6

効率と安全を考慮したコストマップを用いた人と協調する倉庫内配送ロボットナビゲーション Reviewed Open Access

浅井悠佑, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

情報処理学会論文誌 Vol. 65 ( 6 ) page： 1033 - 1048 2024.6

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Papers - YONEZAWA Takuro