Takefuji, Yoshiyasu

写真a

Affiliation

Faculty of Environment and Information Studies (Mita)

Position

Professor Emeritus

Related Websites

Career 【 Display / hide

  • 1983.08
    -
    1985.07

    university of south florida, visiting professor

  • 1985.07
    -
    1988.03

    university of south carolina, assistant professor

  • 1988.08
    -
    1996.03

    case western reserve university ,tenured associate professor

  • 1992.04
    -
    1997.03

    大学助教授(環境情報学部)

  • 1994.04
    -
    Present

    大学院政策・メディア研究科委員

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Academic Background 【 Display / hide

  • 1978.03

    Keio University, Faculty of Engineering

    University, Graduated

  • 1980.03

    Keio University, Graduate School, Division of Engineering

    Graduate School, Completed, Master's course

Academic Degrees 【 Display / hide

  • 工学 , Keio University, Coursework, 1983.03

 

Books 【 Display / hide

  • Designing IoT devices using Flash Microcontrollers (English Edition)

    TAKEFUJI YOSHIYASU, Amazon, 2017

     View Summary

    I wrote this book entitled "Designing Intelligent Electronic Toys Using Flash Microcontrollers" in 2005. Unfortunately, the book has never been published. Therefore, this book had been a phantom book. This renamed book is still useful in IoT era. This book highlights three projects: banner badge, 8-queen neural network (8-bit microcontroller solves 8-queen problems based on neural network), and artificial retina camera (this is the world-first camera for mobile phones). This book is intended for practitioners or novice/professional readers who are interested in designing, developing, and building intelligent electronic gadgets or ubiquitous toys using flash microcontrollers. Two microcontrollers are mainly introduced and used through this book: ATMEL and CYGNAL microcontrollers. A variety of applications using networking devices, sensors, and actuators with microcontollers are detailed by using many circuit diagrams, software source programs, and figures for practitioners. This introductory book can be used as the text or one of the references in high schools or universities for building embedded ubiquitous or wearable computers.

  • 体験する ! ! オープンソースハードウェア: NanoPi NEO, Arduino他で楽しむ IoT 設計

    TAKEFUJI YOSHIYASU, 近代科学社, 2017

     View Summary

    安価なハードウェアでIoT設計!!
    本書は,安価なハードウェア(Arduino,NanoPi NEOや,ドローンの制御センサー他)を駆使したIoT設計で,2Dレーザー彫刻,LPWAN通信,気象観測,機械学習,自動情報収集など,様々なIoTデバイス設計・製作に挑戦する!
    電子回路の基礎を体験的に学べるようになっているので,中・上級者はもちろん,初心者でも体験的に実践することができる.
    Arduino,NanoPi NEOなどでIoT設計に挑戦する読者には、必携の指南書である.

  • GPU parallel computing for machine learning in Python: how to build a parallel computer

    TAKEFUJI YOSHIYASU, Amazon, 2017

     View Summary

    This book illustrates how to build a GPU parallel computer. If you don't want to waste your time for building, you can buy a built-in-GPU desktop/laptop machine. All you need to do is to install GPU-enabled software for parallel computing. The GPU parallel computer is suitable for machine learning, deep (neural network) learning. Two operating system examples including Ubuntu16.04 and Windows 10 system will be described. This book shows how to install CUDA and cudnnlib in two operating systems. Three frameworks including pytorch, keras, and chainer for machine learning on CUDA and cudnnlib will be introduced. Matching problems between operating system (Ubuntu, Windows 10), library (CUDA, cudnnlib), and machine learning framework (pytorch, keras, chainer) are discussed.

  • 超実践 アンサンブル機械学習

    TAKEFUJI YOSHIYASU, 近代科学社, 2016

     View Summary

    本書は、ポスト深層学習の最右翼として注目される「アンサンブル機械学習」を、具体的にプログラムを動かしながら概観できる“超実践"の書です。

    アンサンブル機械学習とは簡単に言えば、従来のいくつかの機械学習の“良いとこ取り"をした計算手法です。本書では、その主な要素である「ランダムフォーレスト」、「ブースティング」、「バギング」などについて簡潔に紹介しました。

    「とにかく使ってみたい! 」という読者にはうってつけの、まさに“超実践の必読書"と言えます。

  • Big Data Analysis using ensemble machine learning of scikit-learn in Python (English Edition) Kindle版

    TAKEFUJI YOSHIYASU, Amazon kindle, 2015

     View Summary

    This book illustrates how to implement ensemble machine learning programs in Python using scikit-learn which is one of the best open source machine learning libraries for businessman or businesswoman. This book is suitable to the interested layman who would like to analyze big data without serious programming in Python. Three examples are illustrated how to use ensemble machine learning for big data analysis. In the first example, rules between poker hands (five cards) and their rankings can be trained using ensemble machine learning. In the second example, the conventional multiple regression method is compared with the ensemble machine learning by using ice cream sales with data of the daily high temperature and the number of passers-by. In the last example, Artificial wine sommelier is built by red wine quality data. The illustrated ensemble machine learning includes AdaBoost, Bagging, ExtraTrees, GradientBoosting, and RandomForest. The grid-search example is introduced for parameter tuning.

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Papers 【 Display / hide

  • We should learn the past lessons

    TAKEFUJI YOSHIYASU

    Science (eLetter, 30 October 2017) http://science.sciencemag.org/content/358/6362/459/tab-e-letters (Science)   2017.10

    Research paper (scientific journal), Single Work, Accepted

  • What should publishers do actions to researchers before they taking ResearchGate to court?

    TAKEFUJI YOSHIYASU

    Science (eLetter, 26 October 2017) http://science.sciencemag.org/content/358/6360/161/tab-e-letters (Science)   2017.10

    Research paper (scientific journal), Single Work, Accepted

  • Brexit and EU science problem is like a "Whack-A-Mole" global-players game

    TAKEFUJI YOSHIYASU

    Science(eLetter, 23 October 2017) http://science.sciencemag.org/content/358/6361/279/tab-e-letters  2017.10

    Research paper (scientific journal), Accepted

  • Communication codes have been oscillating

    TAKEFUJI YOSHIYASU

    Science (eLetter, 12 October 2017) http://science.sciencemag.org/content/357/6353/763.2/tab-e-letters  2017.10

    Research paper (scientific journal), Accepted

  • Finland has several solutions for diversity initiatives problems

    TAKEFUJI YOSHIYASU

    Science (eLetter, 12 October 2017) http://science.sciencemag.org/content/357/6356/1101/tab-e-letters  2017.10

    Research paper (scientific journal), Accepted

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

Awards 【 Display / hide

  • 国際協力機構 第一回JICA理事長賞

    TAKEFUJI YOSHIYASU, 2004

    Type of Award: Other

  • JNSA賞佳作

    TAKEFUJI YOSHIYASU, 2003.10, 日本ネットワークセキュリティ協会、日本セキュリティ・マネジメント学会

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

     View Description

    国家のサーバーセキュリティ向上には何をすべきであるか、を提案したことによる。

  • 米国空軍科学研究所special research award(特別研究賞)

    TAKEFUJI YOSHIYASU, 2003.09, 米国空軍科学研究所

    Type of Award: International academic award (Japan or overseas)

     View Description

    OSに依存せず、セキュリティホールを埋めることなく、Driverwareをベースに、根本的なウィルス防御の手法を提案し、そのプロトタイプを示したことによる。

  • 日本消化器関連学会 感謝状

    TAKEFUJI YOSHIYASU, 2001

    Type of Award: Other

  • 米国オレゴン州ポートランド市rosarian

    TAKEFUJI YOSHIYASU, 2001

    Type of Award: Other

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Courses Taught 【 Display / hide

  • HEURISTIC COMPUTING

    2020

  • GRADUATION PROJECT 2

    2020

  • GRADUATION PROJECT 1

    2020

  • EMBEDDED SYSTEM DESIGN

    2020

  • CONCEPTUAL FRAMEWORK(CI)

    2020

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Social Activities 【 Display / hide

  • SriLanka government IT strategy

    2002.04
    -
    Present
  • Thailand government IT strategy

    2002.04
    -
    Present
  • CTTISC of Jordan government IT strategy

    2001.01
    -
    Present
  • 香港政府 国の委員会

    2001
    -
    Present
  • 日本ネットワークセキュリティー協会 非営利団体

    2001
    -
    Present

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Memberships in Academic Societies 【 Display / hide

  • J. on computational intelligence and applications, 

    2001.03
    -
    Present
  • J. of multimedia tools and applications, 

    2000.09
    -
    Present
  • J. of multimedia tools and applications, 

    1999
    -
    Present
  • J. of knowledge based intelligent engineering syst, 

    1998
    -
    2001
  • J. of analog integrated circuits and signal proces, 

    1992

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Committee Experiences 【 Display / hide

  • 2002.04
    -
    Present

    advisor, SriLanka government IT strategy

  • 2002.04
    -
    Present

    advisor, Thailand government IT strategy

  • 2001.03
    -
    Present

    editor, J. on computational intelligence and applications

  • 2001.01
    -
    Present

    advisor, CTTISC of Jordan government IT strategy

  • 2001
    -
    Present

    技術顧問(アセスメント), 香港政府 国の委員会

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