Nishi, Hiroaki

写真a

Affiliation

Faculty of Science and Technology, Department of System Design Engineering (Yagami)

Position

Professor

Related Websites

External Links

Career 【 Display / hide

  • 1999.04
    -
    2002.02

    Real World Computing Partnership

  • 2002.02
    -
    2003.03

    Hitachi, Ltd., Central Research Laboratory

  • 2003.04
    -
    2004.03

    大学助手(有期)(理工学部システムデザイン工学科)

  • 2004.04
    -
    2005.03

    専任講師(理工学部システムデザイン工学科)

  • 2010.04
    -
    2014.03

    National Institute of Informatics, Invited Associate Professor

display all >>

Academic Background 【 Display / hide

  • 1994.03

    Keio University, Faculty of Science and Engineering, 電気工学科

    University, Graduated

  • 1996.03

    Keio University, Graduate School, Division of Science and Engineering, 計算機科学専攻

    Graduate School, Completed, Master's course

  • 1999.03

    Keio University, Graduate School, Division of Science and Engineering, 計算機科学専攻

    Graduate School, Withdrawal after completion of doctoral course requirements, Doctoral course

Academic Degrees 【 Display / hide

  • 博士(工学), Keio University, 1999.12

 

Research Areas 【 Display / hide

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Communication and network engineering (Communication/Network Engineering)

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Safety engineering

  • Informatics / Computer system (Computer System Network)

Research Keywords 【 Display / hide

  • ASIC / CPLD design

  • Community/Cluster Energy Management System

  • Smart City / Smart Community

  • Internet backbone router

  • Internet backbone router or switch architecture

display all >>

 

Books 【 Display / hide

  • この一冊で全部わかるChatGPT & Copilotの教科書

    中島 大介, 西 宏章, SBクリエイティブ, 2024

  • 地球とつながる暮らしのデザイン

    NISHI HIROAKIet al, 株式会社シナノ, 2016.05

    Scope: 家のエネルギーの使い方のシンフォニー(pp.227-232)

  • Smart Grid Research: Vehicular - IEEE Smart Grid Vision for Vehicular Technology: 2030 and Beyond Roadmap

    Hiroaki Nishi, Koichi Inoue, IEEE Standards Committee, 2015.06

  • Anonymization infrastructure and open data in smart sustainable cities

    Jie Chang, Lei Gu, Wei Liu, Kanae Matsui, Hiroaki Nishi and Cuijuan Xia, Approved Deliverable of ITU-T (Telecommunicatino Standardization Section of ITU) Focus Group on Smart Sustainable Cities, 2015.04

  • スマートメータ―からの情報をどう匿名化するか-電力自由化時代の個人情報の活用法- 『インプレス SmartGrid ニューズレター』2014年7月号

    NISHI HIROAKI, 株式会社インプレス, 2014.07

display all >>

Papers 【 Display / hide

  • pvFed: Personalized Vertical Federated learning for Client-Specific Tasks

    Akihito Nishikawa, Tomu Yanabe, Yuiko Sakuma, Yuma Okuda, Hiroaki Nishi

    IEEJ Transactions on Electrical and Electronic Engineering (IEEJ Transactions on Electrical and Electronic Engineering)  19 ( 6 ) 993 - 1000 2024.06

    ISSN  19314973

     View Summary

    Federated Learning (FL) is a distributed machine learning paradigm that enables multiple data holders to collaborate on building machine learning models while preserving the privacy of their data. FL can be categorized as horizontal or vertical, depending on the distribution characteristics of the data. Specifically, horizontal FL uses data partitioned in the sample space, whereas vertical FL uses data partitioned in the feature space. Traditional vertical FL methods aim to facilitate collaboration among clients to infer a single global target. However, these methods may be impractical because each client often has a unique target to be inferred. In this paper, we propose a novel vertical FL method, called personalized vertical federated learning (pvFed), which addresses this limitation by allowing each client to perform inferences specific to their individual task. To the best of our knowledge, no existing method currently addresses this limitation. The objective of pvFed is to construct a global model that generates a representation vector to support client inference. The global model, constructed using distillation and dimensionality reduction, takes a sample ID common to all clients as input and outputs a sample-specific representation vector. Clients utilize the intermediate representation of their own model and the representation vectors output by the global model for inference. Because these vectors are not dependent on client-specific tasks, clients can repurpose them for any additional tasks. Our experiments, conducted on two distinct data types—image and tabular data sets, under a vertical partitioning where each client had its own specific task, demonstrated the efficacy of vectors generated by the global model in pvFed for client inference. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

  • FPGA Live Migration of Content-Based Anonymization Mechanism with Network Consistency

    Toyohara, T., Yamamoto, K., Nishi, H.

    IEEJ Transactions on Electrical and Electronic Engineering (IEEJ Transactions on Electrical and Electronic Engineering)  19 ( 4 ) 507 - 517 2024.04

    ISSN  19314973

     View Summary

    In smart communities, data are aggregated, and various services are provided based on it. When considering the optimization of service delivery through cooperative processing between the edge and the cloud in smart communities, it is essential to realize network transparent edge services due to the constraints of not touching end devices in order to improve user convenience and additional cost reduction. Moreover, considering the minimization of service provision and service delivery latency at the edge, it is desirable to use field-programmable gate arrays (FPGAs), which have lower power consumption, lower latency, and higher throughput than conventional processors. Additionally, to advance towards even lower latency, the distribution of processing load is important, and service migration is necessary for this purpose. Service migration is generally used to increase service availability, and even for edge services, service migration is important because the distribution of processing and the location where the service should be provided changes over time due to user mobility. When considering network transparency, service migration should be performed on the communication path between the end device and the cloud. Furthermore, to enhance service transparency, it is essential to maintain communication consistency for continuous service provision and minimize service downtime. Therefore, this study proposes a migration mechanism with FPGAs to satisfy these requirements. As an example of a real application, we target a network-transparent data anonymization application to protect the privacy of data providers and evaluate the proposed architecture based on the reality of latency and other factors. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

  • Network-Transparent Service Container and Migration with Information Distribution Management in Edge Environments.

    Yohei Namba, Shogo Shimahara, Hiroaki Nishi

    ICSIM    23 - 28 2024.01

     View Summary

    Smart communities use myriad IoT devices and the data they transmit to perform global optimization. In network-transparent service provision, data transmitted from IoT devices are analyzed using network devices such as switches and routers in the edge region to add value to the data without modifying the IoT devices. However, to establish a mechanism for providing such network transparency services while complying with the opt-in or opt-out of data provided by users, data distribution management is necessary to determine the stored location and path of the target data. In addition, because a smart community environment is assumed to be a heterogeneous computing-resource environment, it is necessary to envision a dynamic relocation function for transparent network services considering the usage of computing resources. In this study, we proposed a method for managing and migrating transparent network services deployed on edge nodes using containers and linked it to an existing information distribution management mechanism that enables data distribution management at the service level. In the experiments, we confirmed that dynamic placement was possible under a load. We also measured the response delay associated with the provision of a transparent network service and confirmed that the associated processing delay was approximately 10 ms.

  • Preface

    Li Y., Nishi H., Pang P.

    ACM International Conference Proceeding Series  2024.01

  • Anonymity‐Aware Framework for Designing Recommender Systems

    M Honda, H Nishi

    IEEJ Transactions on Electrical and Electronic Engineering  2024

display all >>

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

display all >>

Reviews, Commentaries, etc. 【 Display / hide

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

  • Resilient Vibration Control Method Considering Functional Continuity and Rapid Restoration

    2020.04
    -
    2024.03

    Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), No Setting

     View Summary

    建物と設備の振動制御により、機能維持だけでなく復旧時間の短縮までを考慮することで、総合的なレジリエンス性能を向上できるか明らかにする。具体的には以下の4項目を解明する。
    ①復旧時間を短縮する振動制御のためのセンサー・アクチュエーターの設置位置
    ②制御系設計に適した損傷‐復旧モデル
    ③復旧時間を短縮する制御系設計法とその有効性
    ④機能維持性と早期修復性の双方を考慮した建物・設備の協調制御手法とその有効性
    2023年度は高置水槽をスロッシングダンパーとして活用し、レジリエンス性能を高める方法について、多様な地震動レベルに対して制震性能を高める手法の検討を行った。高置水槽を同調液柱管ダンパー(TLCD)とし、取り換え可能な2段の網を導入することで大地震動時の性能劣化や装置破損することを抑える機構の検討を行った。水の使用量の多い鉄骨造の16階建て病院建物を想定し,1層に縮約した縮小試験体を製作した。TLCDは実在建物の冷水槽を参考に高置水槽の容積を決定し、寸法を1/100倍に縮小した試験体を製作した。有限要素解析ソフトウェアAnsysを用いた振動特性の解析および縮小試験体の自由振動実験によりスロッシング周期を把握した。そして、建物縮小試験体の上にTLCD縮小試験体を設置して振動台実験を行い、建物応答を低減するTLCDの2段の網の条件を分析した。入力地震動には告示波および設計用長周期地震動を用いた。建物試験体の絶対加速度応答および層間変位応答は、小さな振幅の設計用地震動では約50%の応答低減を達成できた。一方、大きな振幅の設計用地震動では10%前後の応答低減であった。この原因としてスロッシング周期の伸長が考えられる。スロッシングの波高低減性能については、小振幅の地震動の場合は網1段の場合でも有効であった。一方、大振幅の地震動の場合は2段目の網を用いる有効性が示された。
    上記に加えて、2022年度の成果である仮想マシンやコンテナ型仮想化技術を用いて構造ヘルスモニタリングシステムを大地震動時に他のマシンへ移して守るウォームスタンバイ手法の研究成果について、日本建築学会大会および第10回構造物の安全性・信頼性に関する国内シンポジウムで口頭発表するとともに地域安全学会論文集に査読論文を発表した。
    令和5年度が最終年度であるため、記入しない。
    令和5年度が最終年度であるため、記入しない。

  • Smart Community Information Platform for Providing Critical Services

    2017.04
    -
    2020.03

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

     View Summary

    The purpose of this study is to construct an information and communication infrastructure that can solve the problem with extreme constraints in a smart community (SC) without affecting the existing information infrastructure and services and to implement and evaluate new SC services that could not be provided in the previous embodiments. Specifically, we demonstrate a new type of regional information infrastructure and smart community by 1. constructing a platform including HW-based SC information infrastructure that can fulfill extreme constraints, 2. proposing and implementing the SC operating system that runs on the platform and various optimization methods that are necessary for providing actual services, and 3. evaluating regional demonstrations using the proposed infrastructure and real traffic.

  • Broadcast Responsive Vibration Control System to Reduce Damage to Facilities

    2016.04
    -
    2020.03

    Grants-in-Aid for Scientific Research, Kohiyama Masayuki, Grant-in-Aid for Scientific Research (B), No Setting

     View Summary

    We have developed an advanced seismic control system that maintains the functions during an earthquake by coordinating with the equipment inside the building. We constructed a method to control the response based on the video by wireless communication with the equipment. In addition, we proposed a method to identify the structural parameters based on the seismic response data of the building, design the control system to minimize the damage occurrence probability, and improve the control performance, which was applied to the existing semi-active seismic isolated building. Regarding the earthquake motion simulation method, we constructed a mathematical model considering that the seismic waveforms of earthquakes with closely located hypocenters are similar. Finally, we discovered that a building subjected to seismic motion could cause torsional resonance due to inertial force perpendicular to horizontal displacement.

Intellectual Property Rights, etc. 【 Display / hide

  • 電力制御システム

    Date applied: 2010-108910  2010.05 

    Patent, Joint

  • 人数推定装置及び人数推定方法

    Date applied: 特願2009-292481  2009.12 

    Patent, Joint

  • 換気量推定装置及び換気量推定方法

    Date applied: 特願2008-180072  2008.07 

    Patent, Joint

  • マニピュレーター装置

    Date applied: 2007-103550  2007.04 

    Date announced: 2008-259607   

    Patent, Joint

  • マスタスレーブ装置、マスタ装置、スレーブ装置、制御方法及びコンピュータプログラム

    Date applied: 特願:2006-302787  2006.11 

    Patent, Joint

display all >>

Awards 【 Display / hide

  • 社団法人情報処理学会 計算機アーキテクチャ研究会若手奨励賞

    澤田 純一,西 宏章, 2012.01, 社団法人情報処理学会計算機アーキテクチャ研究会, 「低遅延匿名化処理機構における情報損失度改善手法の提案」

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

  • 社団法人情報処理学会CS賞

    石田慎一, 原島真悟, 鯉渕道紘, 川島英之, #H西宏章, 2011.07, 社団法人情報処理学会, 「コンテキストスイッチを利用したルータにおけるTCP ストリーム再構築のメモリ削減手法」

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

  • 第144回SLDM研究会優秀発表学生賞

    石田慎一, 原島真悟, 川島英之, 鯉渕道紘, 西 宏章, 2010.09, 社団法人情報処理学会システムLSI設計技術研究会, 「パケットデータ管理基盤における情報抽出処理の効率化技法」

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

  • 社団法人情報処理学会ユビキタスコンピューティング研究会優秀論文賞

    上吉 悠人,峰 豪毅,西 宏章, 2008.07, 「クラスタ型エネルギーマネジメントに向けた大学キャンパスのエネルギー計測システム」

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

  • 財団法人ファナックFAロボット財団論文賞

    水落 麻里子,辻 俊明,大西 公平,西 宏章, 2008.03, マルチレートサンプリング手法を用いた加速度制御系の実現

    Type of Award: Award from publisher, newspaper, foundation, etc.

display all >>

Other 【 Display / hide

  • 2014年

     View Details

    ITU-T Focus Group - Smart Sustainable City

  • 2010年

     View Details

    IEEE2030 Standard

 

Courses Taught 【 Display / hide

  • BACHELOR'S THESIS

    2024

  • SEMINAR IN SYSTEM DESIGN ENGINEERING

    2024

  • MULTI-MEDIA SYSTEMS DESIGN

    2024

  • MACHINE LEARNING SYSTEM DESIGN

    2024

  • LABORATORIES IN SYSTEM DESIGN ENGINEERING 2)

    2024

display all >>

 

Social Activities 【 Display / hide

  • 一般社団法人 おもてなしICT協議会 代表理事

    2016.05
    -
    2019.03
  • CANDER TPC member

    2016
    -
    Present
  • 総務省「本格的なIoT時代に対応した情報通信技術の研究開発・標準化動向及びその推進のための調査・分析」事業における「IoT利活用のための共通ICT基盤の研究開発・標準化動向の調査検討グループ」グループ長

    2015.11
    -
    2016.03
  • FPGA4GPC Program Committee Member

    2015.03
    -
    Present
  • NEDO ノーマリーオフコンピューティングの普及検討委員会 委員

    2015.02
    -
    2015.05

display all >>

Memberships in Academic Societies 【 Display / hide

  • 電信通信情報学会シニア会員, 

    2016.12
    -
    Present
  • 情報処理学会計算機アーキテクチャ研究会, 

    2009.09
    -
    Present
  • 建築学会, 

    2008.10
    -
    Present
  • 電子情報通信学会コンピュータシステム研究専門委員会, 

    2005.05
    -
    Present
  • 計測自動制御学会, 

    2003.05
    -
    Present

display all >>

Committee Experiences 【 Display / hide

  • 2017.11
    -
    Present

    IEEE 2668 (IDEX) Standards Committee Member, IEEE 2668 (IDEX) Standards Committee Member

  • 2017.11
    -
    Present

    IEEE P21451-1-6 Standards Committee Member, IEEE P21451-1-6 Standards Committee Member

  • 2017.10
    -
    Present

    IEEE P1451.0 Standards Committee Member, IEEE P1451.0 Standards Committee Member

  • 2017.10
    -
    Present

    IEEE P1451-99 Standards Committee Member, IEEE P1451-99 Standards Committee Member

  • 2017.06
    -
    Present

    Urban Technology Alliance, Urban Technology Alliance

display all >>