Shigeno, Hiroshi

写真a

Affiliation

Faculty of Science and Technology, Department of Information and Computer Science (Yagami)

Position

Professor

Related Websites
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Profile Summary 【 Display / hide 】

  • This laboratory is focused on computer networking, mobile computing, and ubiquitous computing, as well as building protocols, mechanisms, architectures, and applications for high-speed networks and wireless networks to provide better performance, higher availability, and secure network services. Our current research interests are in wireless networking architecture and protocols, protocols and applications for Intelligent Transport Systems (ITS), information-centric networking, mobile edge computing, and network security.

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Other Affiliation 【 Display / hide 】

  • Keio Museum Commons, Vice Director

  • Graduate School of Science and Technology, School of Science for Open and Environmental Systems, Center for Information and Computer Science

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Career 【 Display / hide 】

  • 2012.04
    -
    Present

    Keio University, Department of Information and Computer Science, Professor

  • 2020.05
    -
    Present

    Keio Museum Commons, Vice Director

  • 2017.10
    -
    2019.09

    Research Institute for Digital Media and Content, Keio University, Director

  • 2019.04
    -
    2023.03

    Cabinet Office, Government of Japan, Bureau of Science, Technology and Innovation, Senior Science and Technology Policy Fellow

  • 1994.11
    -
    1995.02

    Keio University, Department of Information and Computer Science, Research Assistant

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Academic Background 【 Display / hide 】

  • 1990.03

    Keio University, Faculty of Science and Engineering, 計測工学

    University, Graduated

  • 1992.03

    Keio University, Graduate School, Division of Science and Engineering, 計測工学専攻

    Graduate School, Completed, Master's course

  • 1997.03

    Keio University, Graduate School, Division of Science and Engineering, 計測工学専攻

    Graduate School, Completed, Doctoral course

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Academic Degrees 【 Display / hide 】

  • Ph.D in Engineering, Keio University, Coursework, 1997.03

    A Communication Platform for Mobile Computing

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Research Areas 【 Display / hide 】

  • Informatics / Information network

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Research Keywords 【 Display / hide 】

  • Network Architecture

  • Network Protocol

  • Mobile Computing

  • Wireless Networks

  • Intelligent Transport Systems

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Books 【 Display / hide 】

  • 情報学基礎 第2版

    重野 寛, 岡田謙一他, 共立出版, 2013.11

  • 情報学基礎

    重野 寛, 岡田謙一他, 共立出版, 2013.03

  • ユビキタスコンピューティング

    SHIGENO HIROSHI, オーム社, 2009.07

  • IPv6プロトコル徹底解説

    生田りえ子，勝本道哲，重野寛, 日経BP社, 2001.03

  • IT TEXTシリーズ コンピュータネットワーク

    松下温，重野寛，屋代智之, オーム社, 2000.09

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Papers 【 Display / hide 】

  • Adaptive Message Prioritization for Vehicular Cooperative Perception at Target Intervals

    Kunibe M., Yamazaki R., Murakawa T., Shigeno H.

    Journal of Information Processing (Journal of Information Processing)  31   57 - 65 2023

    　View Summary

    In this paper, we propose adaptive message prioritization for vehicular cooperative perception at target intervals. The purpose of this paper is to ensure that Connected and Autonomous Vehicles (CAVs) can perceive the surrounding traffic environment by exchanging wireless messages such as Cooperative Awareness Messages (CAMs) and Cooperative Perception Messages (CPMs). Especially, under challenging conditions such as the wireless congestion control or the mixed-traffic of CAVs and human-driven vehicles, the number of perceptible objects by these messages decreases due to the message transmission rate control under the congestion control or the less message transmission under the low CAV penetration rate. To perceive the surrounding objects under the challenging conditions, the proposed method assigns high transmission priority to CPMs that include the information of multiple objects perceived by in-vehicle sensors. Specifically, the method controls the transmission frequency of CAMs and CPMs by assigning transmission priority to them such that the maximum perception interval approaches the target interval. Simulation result shows that 75% CAVs perceive surrounding vehicles within the target interval even under both the wireless congestion control and 20% CAV penetration rate.

  • Data Generation With Filtered β-VAE for the Preoperative Prediction of Adverse Events

    Yamasaki Y., Doi C., Kitagawa S., Seki H., Shigeno H.

    IEEE Access (IEEE Access)  11   48667 - 48676 2023

    　View Summary

    Adverse events after surgery not only affect the patient's recovery but also increase the burden on doctors and patients due to prolonged hospitalization. Predicting adverse events from patient data before surgery with a machine learning method is highly expected. It is difficult to collect a large amount of patient data since the number of surgeries in a year is limited and predict the occurrence of adverse events accurately since patient data are imbalanced data. To improve the accuracy of adverse event prediction, this paper proposes data generation with Filtered VAE for the preoperative prediction of adverse events. Filtered VAE has filters by the reconstruction error and by a machine learning method. After VAE generates minority class data, the two layers of filtering are used to remove low-quality minority class data that have little contribution to the adverse event prediction. In the evaluations, patient data obtained from Tokyo Dental University Ichikawa General Hospital were used. The proposed method can predict adverse events with a recall of 0.848, which is 5.6% more accurate than existing methods. The effects of filtering in Filtered VAE are visualized, and the reasons for the improvement in prediction accuracy are clarified. Furthermore, this paper shows that VAE can generate arbitrary patient data even in table data, corresponding to the distribution of the original patient data.

  • Q-Learning-Based Spatial Reuse Method Considering Throughput Fairness by Negative Reward for High Throughput

    Takematsu M., Sakai S., Kunibe M., Shigeno H.

    Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST)  419 LNICST   207 - 219 2022

    ISSN  18678211

    　View Summary

    In this paper, we propose a Q-learning-based spatial reuse method considering throughput fairness in Wireless LANs (WLANs). In Spatial Reuse (SR) methods, wireless nodes try to use wireless resources efficiently by controlling both the Transmission Power (TP) and Carrier Sense Threshold (CST). When wireless nodes are densely deployed, the SR methods have difficulty to achieve both the high aggregate throughput and throughput fairness because the mutual interference among the wireless nodes becomes severe. The proposed method removes the difficulty by utilizing Q-learning where wireless nodes can learn the adequate CST and TP by themselves. The proposed method motivates nodes to use wireless resources actively by rewards, while it suppresses nodes with high throughput using the resources by negative rewards. As a result, the wireless resources are distributed among nodes with low throughput, and the proposed method achieves both the high aggregate throughput and throughput fairness. Simulation results show that the proposed method improves the aggregate throughput with keeping throughput fairness.

  • Multihop Cooperative Perception with Mitigating Sidelink Resource Breaks by Packet Filtering

    Kunibe M., Shigeno H.

    2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022)     599 - 604 2022

    　View Summary

    In this paper, we utilize multihop communication in sidelink Cellular Vehicle-to-Everything (C-V2X) communication for extending the perceptible range of surrounding environments. The challenging task of the sidelink multihop communication is to maintain periodically reserved wireless resources. Since the multihop communication generates aperiodic traffic, it has the potential to break the reserved resources in C-V2X. The proposed method filters the packets that will break the reserved resources. Furthermore, to avoid degrading the perception quality due to the packet filtering, the proposed method prompts vehicles to forward packets when there is enough room in their resources for forwarding the packets. In the simulation results, we confirm that the proposed method extends the perceptible range compared with single-hop communication and multihop communication with several ETSI parameters.

  • UAV Path Planning in Urban Environments with Dynamic Risk-Map Generation by Vehicle and Pedestrian Perception

    Iwashina Y., Kunibe M., Kato S., Shigeno H.

    IEEE Vehicular Technology Conference (IEEE Vehicular Technology Conference)  2022-September 2022

    ISSN  15502252

    　View Summary

    In this paper, we propose the UAV path planning method in urban environments with dynamic risk-map generation by vehicle and pedestrian perception. In urban environments, it is the challenging task for Unmanned Aerial Vehicles (UAVs) to generate the safety flight path such that they will not collide with the ground vehicles and pedestrians in case of accidental fall. To mitigate the collision risk, the proposed method dynamically generates the risk-map, where collision risks within specific areas are mapped based on mobility of ground vehicles and pedestrians. To perceive the mobility of them, the proposed method utilizes Vehicle-to-Everything (V2X) messages that include position, velocity, and acceleration of the ground vehicles and pedestrians. Based on the proposed risk-map, UAVs seek their flight paths that minimize the collision risk by Rapidly-exploring Random Tree Star (RRT*) algorithm. Simulation result shows that the flight path of the proposed method decreases the collision risk compared with the shortest path and previous safety path in the situation that there are 200 vehicles and 400 pedestrians in 1250 m×1050m city.

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Papers, etc., Registered in KOARA 【 Display / hide 】

  • これからのデジタルアーカイブとテクノロジー

    Shigeno, Hiroshi

    DMC review Keio University (慶應義塾大学デジタルメディア・コンテンツ統合研究センター)  9/10 ( 1 ) 19 - 48 2023.03

    ISSN  21883424

  • 巻頭言

    Shigeno, Hiroshi

    DMC review Keio University (慶應義塾大学デジタルメディア・コンテンツ統合研究センター)  8 ( 1 ) 3 - 3 2021.03

    ISSN  21883424

  • パネルセッション1 : オンライン教育が大学をどう変える?

    Shigeno, Hiroshi

    DMC review Keio University (慶應義塾大学デジタルメディア・コンテンツ統合研究センター)  7 ( 1 ) 42 - 57 2020.03

    ISSN  21883424

  • 所長あいさつ

    Shigeno, Hiroshi

    DMC review Keio University (慶應義塾大学デジタルメディア・コンテンツ統合研究センター)  7 ( 1 ) 8 - 9 2020.03

    ISSN  21883424

  • 巻頭言

    Shigeno, Hiroshi

    DMC review Keio University (慶應義塾大学デジタルメディア・コンテンツ統合研究センター)  7 ( 1 ) 4 - 5 2020.03

    ISSN  21883424

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Reviews, Commentaries, etc. 【 Display / hide 】

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Presentations 【 Display / hide 】

  • IoTサービス基盤から考えるネットワーク仮想化技術 —情報流の視点から—

    重野 寛

    電子情報通信学会2017年総合大会, 

    2017.03
    , 

    Symposium, workshop panel (nominated)

  • Reputation Aggregation Method Considering Reliability of Newly Joining Peers in Unstructured P2P Networks

    Takashi Yajima, Hiroki Ushikubo, Hiroshi Shigeno

    International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA 2012) (Victoria, Canada) , 

    2012.11
    , 

    Oral presentation (general)

  • Comparative Evaluation of Information Dissemination Method for Dynamic Vehicular Route Planning

    Koichiro Hara, Masaki Suzuki, Taisei Tokuda, Hiroshi Shigeno

    International Conference on ITS Telecommunications (ITST 2012) (Taipei, Taiwan) , 

    2012.11
    , 

    Oral presentation (general)

  • P2Pライブストリーミングサービスにおける拡散率に基づくチャンク交換手法

    酒田良樹, 高山和幸, 遠藤伶, 重野寛

    第20回マルチメディア通信と分散処理ワークショップ (愛媛県松山市) , 

    2012.10
    , 

    Oral presentation (general), 情報処理学会

  • A Chunk Scheduling based on Chunk Diffusion Ratio on P2P Live Streaming

    Yoshiki Sakata, Kazuyuki Takayama, Rei Endo, Hiroshi Shigeno

    International Conference on Network-Based Information Systems (NBiS2012) (Melbourne, Australia) , 

    2012.09
    , 

    Oral presentation (general)

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 混在交通交通需要の集中時にも渋滞なく運用できる高効率な近未来交通サービス

    2023.04
    -
    2027.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Research grant, Coinvestigator(s)

  • V2X-based Collective Perception for Cooperative Driving in Mixed Traffic

    2020.04
    -
    2024.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Principal investigator

  • 実世界データを対象とした情報流におけるトラスト経済モデル

    2017.04
    -
    2020.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Research grant, Coinvestigator(s)

  • 自動車アドホックネットワークにおける情報指向アプローチによる分散情報共有基盤

    2016.04
    -
    2020.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Principal investigator

  • 経営学・理工学・経済学連携によるインフラ長寿命化モデルの開発

    2016
    -
    2019.03

    国立研究開発法人科学技術振興機構, 戦略的イノベーション創造プログラム（SIP）「インフラ維持管理・更新・マネジメント技術」, Commissioned ｒesearch, Coinvestigator(s)

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Awards 【 Display / hide 】

  • IPSJ Fellow, Information Processing Society of Japan

    2019.06, Information Processing Society of Japan

    Type of Award： Award from Japanese society, conference, symposium, etc.

  • 独立行政法人日本学術振興会「科研費」審査員表彰

    2015.10, 独立行政法人日本学術振興会

    Type of Award： Other

  • 電子情報通信学会通信ソサエティ活動功労賞

    2015.09, 電子情報通信学会通信ソサエティ

    Type of Award： Award from Japanese society, conference, symposium, etc.

  • 第24回マルチメディア通信と分散処理ワークショップ(DPSWS2016) 優秀論文賞

    小川紘基, 柳田諒, 五味和良, 重野寛, 2016.10, 第24回マルチメディア通信と分散処理ワークショップ(DPSWS2016), インフラレスの動的走行経路案内のための双方向シミュレーションの実装と評価

    Type of Award： Award from Japanese society, conference, symposium, etc.

  • 情報処理学会 2016年度学会活動貢献賞「第78回全国大会開催への貢献」

    2017.06

    Type of Award： Award from Japanese society, conference, symposium, etc.

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Courses Taught 【 Display / hide 】

  • SPECIAL TOPICS IN INFORMATION AND COMPUTER SCIENCE

    2024

  • RECITATION IN INFORMATION AND COMPUTER SCIENCE

    2024

  • OFF-CAMPUS WORK-STUDY PROGRAM B

    2024

  • OFF-CAMPUS WORK-STUDY PROGRAM A

    2024

  • NETWORK ENGINEERING 2

    2024

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Social Activities 【 Display / hide 】

  • 実環境を想定した自動走行支援通信のメッセージセット及びプロトコルに関する調査検討会 委員

    2018.10
    -
    2019.03

  • 公益財団法人佐藤陽国際奨学財団 選考委員

    2018.09
    -
    2024.06

  • 平成30年度Connected Car社会の実現に向けた既存ITS用無線システムの高度化を行うための技術的条件等に関する調査検討会

    2018.09
    -
    2019.03

  • Connected Car社会の実現に向けた既存ITS用無線システムを補完する新たな無線システムの技術的条件等に関する調査検討会

    2018.08
    -
    2019.03

  • 国立研究開発法人情報通信研究機構 高度通信・研究会開発委託研究評価委員会 委員

    2018.04
    -
    2020.03

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Memberships in Academic Societies 【 Display / hide 】

  • 情報処理学会

    　

  • 電子情報通信学会

    　

  • ACM

    　

  • IEEE

    　
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Committee Experiences 【 Display / hide 】

  • 2017.06
    -
    2019.06

    IPSJ Director, Information Processing Society of Japan (IPSJ)

  • 2023.02
    -
    2023.08

    委員, 総務省 自動運転時代の"次世代ITS通信"研究会

  • 2023.03
    -
    2024.03

    委員, 国土交通省 次世代ITS検討会

  • 2019.06
    -
    Present

    Chair, ITS Info-communications Forum, Advanced ITS Info-communication Systems Committee

  • 2023.07
    -
    2024.03

    構成員, 総務省 令和5年度「5.9GHz帯NR-V2Xシステムに関する技術的検討」調査検討会

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