Yakoh, Takahiro

写真a

Affiliation

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

Position

Associate Professor

Related Websites

External Links

Career 【 Display / hide

  • 1994.04
    -
    1996.03

    日本鋼管株式会社情報システム部情報技術室

  • 1996.04
    -
    1998.03

    慶應義塾大学メディアネット本部ネットワークテクノロジーセンター(仮称)

  • 1998.04
    -
    2001.03

    慶應義塾大学理工学部 ,助手

  • 2000.04
    -
    2001.03

    慶應義塾大学理工学部1年 ,クラス担任

  • 2000.04
    -
    2003.03

    慶應義塾大学理工学部システムデザイン工学科 ,執行部補助

display all >>

Academic Background 【 Display / hide

  • 1989.03

    Keio University, Faculty of Engineering, 計測工学科

    University, Graduated

  • 1991.03

    Keio University, Graduate School, Division of Science and Engineering, Computer Science

    Graduate School, Completed, Master's course

  • 1994.03

    Keio University, Graduate School, Division of Science and Engineering, Computer Science

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

Academic Degrees 【 Display / hide

  • 工学, Keio University, 1995.03

Licenses and Qualifications 【 Display / hide

  • 第二種電気工事士免状, 2020.02

 

Research Areas 【 Display / hide

  • Informatics / Mechanics and mechatronics (Intelligent Mechanics and Machine System)

  • Informatics / Robotics and intelligent system (Intelligent Mechanics and Machine System)

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

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering (System Engineering)

  • Informatics / Theory of informatics (Computer Science)

 

Books 【 Display / hide

  • Mn'M Workbook 3: Future Urban Intensities

    YAKOH TAKAHIRO, flick studio, 2014.03

    Scope: 42-47

  • HUMAN – COMPUTER SYSTEMS INTERACTION: BACKGROUNDS AND APPLICATIONS 2 -Advances in Intelligent and Soft Computing-

    Sato Tomoya, Sakaino Syo, YAKOH TAKAHIRO, Springer Berlin / Heidelberg, 2012

    Scope: 91-107

  • Remote and Telerobotics

    Shinichi Hamasaki, YAKOH TAKAHIRO, InTech, 2010.05

    Scope: 17-32

     View Summary

    遠隔操作の操作性が通信遅延により低下してしまう問題点を、クロスモーダルな装飾により解消できる可能性があることを提案し、実験を通して検証している。

  • Engineering & Neuro-Psychoanalysis Forum Book

    Charlotte Roesener, Tobias Deutsch, Roland Lang Brit Muller, and YAKOH TAKAHIRO, Springer-Verlag, 2008.10

    Scope: 324-338

     View Summary

    工学と脳神経科学の境界領域の開拓を目指したフォーラムが査読論文を編纂したものであり、我々は脳の認知行動のモデル化や、シミュレータ構築、挙動に関する考察を記している。

  • 数理工学基礎シリーズ「コンピュータの数理」

    矢向高弘、村上俊之、大西公平, 朝倉書店, 2000.10

     View Summary

    コンピュータのハードウェアの基礎から、2進数による数値計算法、C言語によるプログラミング、計算誤差にまで言及した工学者向けの教科書である。

display all >>

Papers 【 Display / hide

  • Re-shooting Resistant Blind Watermarking Framework Based on Feature Separation With Gaussian Mixture Model

    Yakoh T., Oi M.

    IEEJ Transactions on Electrical and Electronic Engineering (IEEJ Transactions on Electrical and Electronic Engineering)  17 ( 4 ) 556 - 565 2022.04

    ISSN  19314973

     View Summary

    Watermarking is a technology to embed digital data into a digital image. In particular, blind watermarking is expected to ensure the authenticity and/or accountability of digital images without compromising the visual impression of viewing. A re-shooting resistant blind watermarking method is proposed in this study. This method uses the features of a given image to select regions, which are modified to embed digital data. As the proposed embedding process preserves these image features, no markers are required to extract the embedded data from the watermarked image. Furthermore, based on the estimation of the watermarked image region, the method crops the re-shot image before the extraction. Therefore, the proposed method works, even if the re-shot image includes the outer area surrounding the watermarked image region. Moreover, the proposed method compensates for the geometric transformation of the re-shot image based on the definition of the coordinate system, which is based on the distribution of the image feature points. Therefore, the proposed method works when the re-shot image is taken diagonally in front of the watermarked image. Experimental results validated that the proposed method can extract the embedded digital data from re-shot images of a watermarked image under considerable conditions of re-shooting. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

  • Saliency Prediction based on Object Recognition and Gaze Analysis

    Ishikawa T., Yakoh T.

    IEEJ Transactions on Electronics, Information and Systems (IEEJ Transactions on Electronics, Information and Systems)  141 ( 1 ) 76 - 84 2021.01

    ISSN  03854221

     View Summary

    Predicting the human visual attention in an image is called saliency prediction, and is an active research area in the field of neuroscience and computer vision. Early works on saliency prediction was performed by using low-level features. In recent years, convolutional neural networks (CNN) have been adapted for saliency prediction and achieved the state-of-the-art performance. However, the eye-gaze depends on the personality of each viewer and conventional methods did not take into account such individual properties of the viewer. Therefore, this paper proposes a novel saliency prediction method considering the influence of eye-gaze. Assuming that personality can be expressed as the degree of attention to an object, our proposed method considers the personality by learning which objects are likely to be perceived by each viewer, and weighting the universal saliency map with the generated mask based on the object detection results. The experimental results show that the proposed universal saliency map achieves higher accuracy than conventional methods on the public dataset, and the proposed weighted saliency map can reflect the variation of the eye-gaze influences among viewers. (1)

  • Saliency prediction based on object recognition and gaze analysis

    Ishikawa T., Yakoh T.

    Electronics and Communications in Japan (Electronics and Communications in Japan)   2021

    ISSN  19429533

     View Summary

    Predicting the human visual attention in an image is called saliency prediction and is an active research area in the field of neuroscience and computer vision. Early works on saliency prediction was performed by using low-level features. In recent years, convolutional neural networks have been adapted for saliency prediction and achieved the state-of-the-art performance. However, the eye-gaze depends on the personality of each viewer and conventional methods did not take into account such individual properties of the viewer. Therefore, this paper proposes a novel saliency prediction method considering the influence of eye-gaze. Assuming that personality can be expressed as the degree of attention to an object, our proposed method considers the personality by learning which objects are likely to be perceived by each viewer and weighting the universal saliency map with the generated mask based on the object detection results. The experimental results show that the proposed universal saliency map achieves higher accuracy than conventional methods on the public dataset, and the proposed weighted saliency map can reflect the variation of the eye-gaze influences among viewers.

  • A precise time synchronization method for real-time schedulers

    Kikutani T., Yakoh T.

    Electronics and Communications in Japan (Electronics and Communications in Japan)  101 ( 12 ) 21 - 29 2018.12

    ISSN  19429533

     View Summary

    This paper proposed a precise time synchronization method between schedulers of real-time operating systems by communicating time stamps over a network. An NTP-based communication protocol was used to measure the time offset between nodes. To minimize the measurement error, a light-weight network stack called RT-Messenger was used instead of common transmission control protocol/Internet protocol (TCP/IP) stack. Also, a Kalman filter was introduced to eliminate such error and to estimate time offset and drift. Furthermore, a real-time scheduler in RTAI/Linux (where RTAI is real-time application interface) was modified to compensate the time difference using the estimated offset and drift. The time compensation of a scheduler clock affects the next resume times for real-time tasks. Therefore, a recalculation process of next resume times for all real-time tasks and a reordering process of real-time task queue were added to the real-time scheduler. To validate the proposed method, time differences of resume times for two real-time tasks on different nodes were measured under various experimental conditions. The results confirm that the resume time differences were successfully kept lower than 400 ns with 300 ns standard deviation under the condition of observation period at 1 s and correction period at 10 s.

  • Frame transmission time control for TDMA-based ethernet

    Hagino N., Yamamoto M., Yakoh T.

    IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS (IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS)  2018-June   1 - 8 2018.07

    ISSN  9781538610664

     View Summary

    Processes of network-based control system require accurate timing control of frame transmission. A special network interface card (NIC) was proposed and implemented to adjust the timing accurately based on a dual queue structure and precise time synchronization mechanism in this paper. A high resolution measurement tool for frame transmission latency was also developed to validate the implementation. The measured results verified that the proposed NIC achieved the latency shorter than 790 ns and the deviation of it less than 49 ns while a commercial off-the-shelf NIC showed the latency longer than 9700 ns and the deviation of it more than 300 ns.

display all >>

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

Reviews, Commentaries, etc. 【 Display / hide

  • 学界情報 国際会議レポート

    YAKOH TAKAHIRO

    電気学会論文誌D 132 ( 7 ) PNL7-4 2012.07

    Article, review, commentary, editorial, etc. (scientific journal), Single Work

  • 分散リアルタイムネットワーク

    YAKOH TAKAHIRO, HIROAKI NISHI

    日本機械学会誌 106 ( 1021 ) 36 - 37 2003.12

    Article, review, commentary, editorial, etc. (scientific journal), Joint Work

Presentations 【 Display / hide

  • Uncertainty Principle in Real-Time Communication - Battle of Quickness against Correctness in NBCS -

    YAKOH TAKAHIRO

    12th International Workshop on Advanced Motion Control (Sarajevo, Bosnia and Herzegovina) , 

    2012.03

    Oral presentation (invited, special)

  • コンピュータネットワークを用いた広域制御

    矢向高弘

    日本機械学会 運動と制御研究会(MOVIC), 

    1999.11

     View Summary

    コンピュータネットワークによる実時間通信の可能性を示すとともに、広域制御の具体的な応用例を紹介した。

Intellectual Property Rights, etc. 【 Display / hide

  • 情報処理システム,制御装置,検出装置,情報処理方法,制御方法,検出方法,及びプログラム

    Date applied: 特許出願2016-230388  2016.11 

    Patent, Single

  • 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 

    Date announced: 特開2008-119757  2008.05 

    Patent, Joint

  • マルチメディア通信装置

    Date applied: 特願2005-216804  2005.07 

    Date announced: 特開2007-036650  2007.02 

    Patent, Single

  • 電気レオロジー素子およびこれを備えた電気レオロジーデバイス

    Date applied: 特願2002-127489  2002.04 

    Date announced: 特開2003-322196  2003.11 

    Patent, Joint

  • フリクションフリードライブシステム

    Date applied: 特願2000-075609  2000.03 

    Date announced: 特開2001-263444  2001.09 

    Patent, Joint

Awards 【 Display / hide

  • ファナックFAロボット財団論文賞

    Takahiro Yakoh, Masanao Ito, Kouhei Ohnishi, 2003.03, 財団法人ファナックFAロボット財団, 仮想力伝搬に基づく協調マニピュレータの分解制御

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

 

Courses Taught 【 Display / hide

  • SYSTEMS OF INFORMATION PROCESSING

    2022

  • SEMINAR IN SYSTEM DESIGN ENGINEERING

    2022

  • REAL TIME SIGNAL PROCESSING

    2022

  • PHARMACOEPIDEMIOLOGY/DATA SCIENCE

    2022

  • INTRODUCTION TO SYSTEM DESIGN ENGINEERING

    2022

display all >>

Courses Previously Taught 【 Display / hide

  • 情報学基礎

    Keio University

    2015.04
    -
    2016.03

    Spring Semester, Lecture, Within own faculty, 1h, 250people

  • 実時間システム設計論

    Keio University

    2015.04
    -
    2016.03

    Autumn Semester, Lecture, Within own faculty, 1h, 12people

  • システムデザイン工学演習

    Keio University

    2015.04
    -
    2016.03

    Autumn Semester, Seminar, Within own faculty, 2h, 12people

  • 工学材料

    Keio University

    2015.04
    -
    2016.03

    Autumn Semester, Lecture, Lecturer outside of Keio, 1h, 90people

  • 分散処理システム

    Keio University

    2015.04
    -
    2016.03

    Autumn Semester, Lecture, Within own faculty, 1h, 50people

display all >>

 

Memberships in Academic Societies 【 Display / hide

  • 8th France-Japan Congress on Mechatronics 2010, 

    2009.08
    -
    2010.11
  • IEEE International Workshop on Factory Communication Systems 2010, 

    2009.07
    -
    2010.05
  • IEEE International Conference on Industrial Informatics 2010, 

    2008.12
    -
    2010.07
  • IEEE International Workshop on Factory Communication Systems 2008, 

    2007.08
    -
    2008
  • IEEE International Workshop on Factory Communication Systems 2006, 

    2005.12
    -
    2006

display all >>

Committee Experiences 【 Display / hide

  • 2017.09
    -
    2018.06

    Technical Program Committee, IEEE International Workshop on Factory Communication Systems 2018

  • 2016.10
    -
    2017.06

    Program Committee, IEEE International Workshop on Factory Communication Systems 2017

  • 2015.10
    -
    2016.05

    Program Committee, IEEE International Workshop on Factory Communication Systems 2016

  • 2014.11
    -
    2015.05

    Program Committee, IEEE International Workshop on Factory Communication Systems 2015

  • 2013.07
    -
    2014.05

    Technical Program Committee, IEEE International Workshop on Factory Communication Systems 2014

display all >>