Updated on 2024/04/16

写真a

 
IJIMA Hiroshi
 
Name of department
Faculty of Education, Science Education
Job title
Professor
Concurrent post
Entrepreneurship Design Center（Vice Director）、Entrepreneurship Design Center（Director, Self-Directed Creation and Innovation Division）
Mail Address
E-mail address
External link

Education

  • Kyoto Institute of Technology   工芸学部   電子情報工学科  

Degree

  • 博士(工学)

Academic & Professional Experience

  • 2013.04
    -
    Now

    Wakayama University   教授

  • 2009.04
    -
    2013.03

    Wakayama University   准教授

  • 2007.10
    -
    2009.03

    Wakayama University   講師

Association Memberships

  • 2022.12
    -
    Now

    日本産業技術教育学会近畿支部

  • システム制御情報学会

  • 計測自動制御学会

  • 電子情報通信学会

  • 米国電気電子学会(IEEE)

Research Areas

  • Informatics / Computational science

  • Informatics / Statistical science

  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering) / Measurement engineering

Classes (including Experimental Classes, Seminars, Graduation Thesis Guidance, Graduation Research, and Topical Research)

  • 2022   Information Processing ⅠB   Liberal Arts and Sciences Subjects

  • 2022   Information Processing ⅠB   Liberal Arts and Sciences Subjects

  • 2022   Information Processing ⅠA   Liberal Arts and Sciences Subjects

  • 2022   Information Processing ⅠA   Liberal Arts and Sciences Subjects

  • 2022   Instruction for Education of Science   Specialized Subjects

  • 2022   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2022   Applied Electronic Circuits   Specialized Subjects

  • 2022   Seminar of Scientific Education   Specialized Subjects

  • 2022   Basic Mechanical Engineering (including Practice)   Specialized Subjects

  • 2022   Technology of information   Specialized Subjects

  • 2022   Introduction to Physics B   Specialized Subjects

  • 2022   Life   Specialized Subjects

  • 2022   Laboratory and Exercises in Natural Science (Physics B)   Specialized Subjects

  • 2022   Laboratory and Exercises in Natural Science (Physics A)   Specialized Subjects

  • 2021   Basic Woodworking   Specialized Subjects

  • 2021   Seminar of Scientific Education   Specialized Subjects

  • 2021   Laboratory and Exercises in Natural Science (Physics B)   Specialized Subjects

  • 2021   Laboratory and Exercises in Natural Science (Physics A)   Specialized Subjects

  • 2021   Methodology on Technology Education D   Specialized Subjects

  • 2021   Instruction for Education of Science   Specialized Subjects

  • 2021   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2021   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2021   Practice for technology of information   Specialized Subjects

  • 2021   Practice for technology of information   Specialized Subjects

  • 2021   Introduction to Physics B   Specialized Subjects

  • 2021   Life   Specialized Subjects

  • 2021   Instrument and Control Engineers   Specialized Subjects

  • 2021   Methodology on Technology Education A   Specialized Subjects

  • 2021   Information Processing ⅠB   Liberal Arts and Sciences Subjects

  • 2021   Information Processing ⅠB   Liberal Arts and Sciences Subjects

  • 2021   Information Processing ⅠA   Liberal Arts and Sciences Subjects

  • 2021   Information Processing ⅠA   Liberal Arts and Sciences Subjects

  • 2020   Instruction for Education of Science   Specialized Subjects

  • 2020   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2020   Applied Electronic Circuits   Specialized Subjects

  • 2020   Basic Mechanical Engineering (including Practice)   Specialized Subjects

  • 2020   Practice for technology of information   Specialized Subjects

  • 2020   Technology of information   Specialized Subjects

  • 2020   Introduction to Physics B   Specialized Subjects

  • 2020   Laboratory and Exercises in Natural Science (Physics B)   Specialized Subjects

  • 2020   Laboratory and Exercises in Natural Science (Physics A)   Specialized Subjects

  • 2020   Information Processing ⅠB   Liberal Arts and Sciences Subjects

  • 2020   Information Processing ⅠB   Liberal Arts and Sciences Subjects

  • 2020   Information Processing ⅠA   Liberal Arts and Sciences Subjects

  • 2020   Information Processing ⅠA   Liberal Arts and Sciences Subjects

  • 2019   Instruction for Education of Science   Specialized Subjects

  • 2019   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2019   Seminar of Scientific Education   Specialized Subjects

  • 2019   Seminar of Scientific Education   Specialized Subjects

  • 2019   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2019   Practice for technology of information   Specialized Subjects

  • 2019   Practice for technology of information   Specialized Subjects

  • 2019   Introduction to Physics B   Specialized Subjects

  • 2019   Life   Specialized Subjects

  • 2019   Methodology on Technology Education C   Specialized Subjects

  • 2019   Instrument and Control Engineers   Specialized Subjects

  • 2019   Laboratory and Exercises in Natural Science (Physics B)   Specialized Subjects

  • 2019   Laboratory and Exercises in Natural Science (Physics A)   Specialized Subjects

  • 2019   Introduction to Computer B   Specialized Subjects

  • 2019   Introduction to Computer A   Specialized Subjects

  • 2018   Instruction for Education of Science   Specialized Subjects

  • 2018   Applied Electronic Circuits   Specialized Subjects

  • 2018   Seminar of Scientific Education   Specialized Subjects

  • 2018   Basic Mechanical Engineering (including Practice)   Specialized Subjects

  • 2018   Seminar on Environmental Education(Industrial Model)B   Specialized Subjects

  • 2018   Technology of information   Specialized Subjects

  • 2018   Introduction to Physics B   Specialized Subjects

  • 2018   Life   Specialized Subjects

  • 2018   Laboratory and Exercises in Natural Science (Physics B)   Specialized Subjects

  • 2018   Laboratory and Exercises in Natural Science (Physics A)   Specialized Subjects

  • 2018   Introduction to Computer B   Specialized Subjects

  • 2018   Introduction to Computer A   Specialized Subjects

  • 2017   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2017   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2017   Seminar on Environmental Education(Industrial Model)A   Specialized Subjects

  • 2017   Seminar on Environmental Education(Living and Industry)B   Specialized Subjects

  • 2017   Seminar on Environmental Education(Living and Industry)A   Specialized Subjects

  • 2017   Practice for technology of information   Specialized Subjects

  • 2017   Technology of information   Specialized Subjects

  • 2017   Introduction to Physics B   Specialized Subjects

  • 2017   Methodology on Technology Education C   Specialized Subjects

  • 2017   Introduction to Computer B   Specialized Subjects

  • 2017   Introduction to Computer A   Specialized Subjects

  • 2016   Introduction to Computer B   Specialized Subjects

  • 2016   Introduction to Computer A   Specialized Subjects

  • 2016   Technology of information   Specialized Subjects

  • 2016   Introductory Seminar in Environmental Education   Specialized Subjects

  • 2016   Introduction to Culture And Environment   Specialized Subjects

  • 2016   Practice for technology of information   Specialized Subjects

  • 2016   Experiments of Mechanical Engineering   Specialized Subjects

  • 2016   Introduction to Physics B   Specialized Subjects

  • 2016   Basic Mechanical Engineering   Specialized Subjects

  • 2016   Seminar on Environmental Education(Living and Industry)A   Specialized Subjects

  • 2016   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2016   Seminar on Environmental Education(Industrial Model)B   Specialized Subjects

  • 2016   Seminar on Environmental Education(Industrial Model)A   Specialized Subjects

  • 2016   Seminar on Environmental Education(Living and Industry)B   Specialized Subjects

  • 2016   Technology of Environmental Information   Specialized Subjects

  • 2016   Experiments in Electrical and Electronic Engineering   Specialized Subjects

  • 2016   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2016   Methodology on Technology Education C   Specialized Subjects

  • 2015   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2015   Practice for technology of information   Specialized Subjects

  • 2015   Technology of Environmental Information   Specialized Subjects

  • 2015   Seminar on Environmental Education(Living and Industry)A   Specialized Subjects

  • 2015   Introduction to Computer B   Specialized Subjects

  • 2015   Introduction to Computer A   Specialized Subjects

  • 2015   Experiments in Electrical and Electronic Engineering   Specialized Subjects

  • 2015   Introduction to Culture And Environment   Specialized Subjects

  • 2015   Instrument and Control Engineers   Specialized Subjects

  • 2015   Introductory Seminar in Environmental Education   Specialized Subjects

  • 2015   Seminar on Environmental Education(Living and Industry)B   Specialized Subjects

  • 2015   Seminar on Environmental Education(Industrial Model)B   Specialized Subjects

  • 2014   Seminar on Environmental Education(Industrial Model)B   Specialized Subjects

  • 2014   Seminar on Environmental Education(Industrial Model)A   Specialized Subjects

  • 2014   Seminar on Environmental Education(Living and Industry)B   Specialized Subjects

  • 2014   Seminar on Environmental Education(Living and Industry)A   Specialized Subjects

  • 2014   Technology of Environmental Information   Specialized Subjects

  • 2014   Practice for technology of information   Specialized Subjects

  • 2014   Introductory Seminar in Environmental Education   Specialized Subjects

  • 2014   Introduction to Culture And Environment   Specialized Subjects

  • 2014   Experiments in Electrical and Electronic Engineering   Specialized Subjects

  • 2014   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2014   Circuits and Systems   Specialized Subjects

  • 2014   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2014   Instrument and Control Engineers   Specialized Subjects

  • 2014   Introduction to Computer B   Specialized Subjects

  • 2014   Introduction to Computer A   Specialized Subjects

  • 2013   Seminar on Environmental Education(Industrial Model)B   Specialized Subjects

  • 2013   Seminar on Environmental Education(Industrial Model)A   Specialized Subjects

  • 2013   Seminar on Environmental Education(Living and Industry)B   Specialized Subjects

  • 2013   Seminar on Environmental Education(Living and Industry)A   Specialized Subjects

  • 2013   Technology of Environmental Information   Specialized Subjects

  • 2013   Practice for technology of information   Specialized Subjects

  • 2013   Introductory Seminar in Environmental Education   Specialized Subjects

  • 2013   Introduction to Culture And Environment   Specialized Subjects

  • 2013   Experiments in Electrical and Electronic Engineering   Specialized Subjects

  • 2013   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2013   Circuits and Systems   Specialized Subjects

  • 2013   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2013   Instrument and Control Engineers   Specialized Subjects

  • 2013   Introduction to Computer B   Specialized Subjects

  • 2013   Introduction to Computer A   Specialized Subjects

  • 2012   Seminar on Natural Environments (Material Science C)   Specialized Subjects

  • 2012   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2012   Practice for technology of information   Specialized Subjects

  • 2012   Technology of Environmental Information   Specialized Subjects

  • 2012   Seminar on Environmental Education(Living and Industry)A   Specialized Subjects

  • 2012   Seminar on Environmental Education(Industrial Model)A   Specialized Subjects

  • 2012   Circuits and Systems   Specialized Subjects

  • 2012   Introductory Programming   Specialized Subjects

  • 2012   Introduction to Computer B   Specialized Subjects

  • 2012   Introduction to Computer A   Specialized Subjects

  • 2012   Experiments in Electrical and Electronic Engineering   Specialized Subjects

  • 2012   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2012   Introduction to Culture And Environment   Specialized Subjects

  • 2012   Instrument and Control Engineers   Specialized Subjects

  • 2012   Introductory Seminar in Environmental Education   Specialized Subjects

  • 2012   Seminar on Environmental Education(Living and Industry)B   Specialized Subjects

  • 2012   Seminar on Environmental Education(Industrial Model)B   Specialized Subjects

  • 2011   Practice for technology of information   Specialized Subjects

  • 2011   Experiments in Electrical and Electronic Engineering   Specialized Subjects

  • 2011   Introductory Programming   Specialized Subjects

  • 2011   Seminar on Natural Environments (Material Science C)   Specialized Subjects

  • 2011   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2011   Introduction to Computer B   Specialized Subjects

  • 2011   Introduction to Computer A   Specialized Subjects

  • 2011   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2011   Circuits and Systems   Specialized Subjects

  • 2011   Instrument and Control Engineers   Specialized Subjects

  • 2011   Practice for technology of information   Specialized Subjects

  • 2011   Introductory Programming   Specialized Subjects

  • 2011   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2011   Introduction to Computer B   Specialized Subjects

  • 2011   Introduction to Computer A   Specialized Subjects

  • 2011   Circuits and Systems   Specialized Subjects

  • 2009   NA   Specialized Subjects

  • 2009   NA   Specialized Subjects

  • 2009   NA   Specialized Subjects

  • 2009   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2009   Introduction to Computer B   Specialized Subjects

  • 2009   Introduction to Computer A   Specialized Subjects

  • 2009   Instrument and Control Engineers   Specialized Subjects

  • 2009   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2009   Introductory Programming   Specialized Subjects

  • 2009   Circuits and Systems   Specialized Subjects

  • 2008   Overall Seminar A   Specialized Subjects

  • 2008   Introduction to Computer B   Specialized Subjects

  • 2008   Introduction to Computer A   Specialized Subjects

  • 2008   Seminar on Natural Environments (Material Science C)   Specialized Subjects

  • 2008   Advanced Seminar on Semiconductor Home Machines and Implements   Specialized Subjects

  • 2008   Instrument and Control Engineers   Specialized Subjects

  • 2008   Fundamentals of Electrical and Electronic Engineering   Specialized Subjects

  • 2008   Introductory Programming   Specialized Subjects

  • 2008   Circuits and Systems   Specialized Subjects

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Satellite Courses

  • 2019   NA   Liberal Arts and Sciences Subjects

  • 2019   NA   Liberal Arts and Sciences Subjects

  • 2018   NA   Liberal Arts and Sciences Subjects

  • 2018   NA   Liberal Arts and Sciences Subjects

  • 2017   NA   Liberal Arts and Sciences Subjects

  • 2017   NA   Liberal Arts and Sciences Subjects

  • 2016   NA   Liberal Arts and Sciences Subjects

  • 2016   NA   Liberal Arts and Sciences Subjects

▼display all

Independent study

  • 2017   IT教育

  • 2016   IT教育

Classes

  • 2021   Development of Inquisitive Teaching Materials - Water  

  • 2021   Exercise on Electronics   Master's Course

  • 2020   Development of Inquisitive Teaching Materials - Water   Master's Course

  • 2020   Exercise on Electronics   Master's Course

  • 2020   Research Work   Master's Course

  • 2019   Development of Inquisitive Teaching Materials - Water   Master's Course

  • 2019   Exercise on Electronics   Master's Course

  • 2019   Exercise on Electronics   Master's Course

  • 2019   Research Work   Master's Course

  • 2018   Research Work   Master's Course

  • 2018   Advanced Electronics   Master's Course

  • 2017   Exercise on Electronics  

  • 2017   Exercise on Electronics  

  • 2017   Research Work  

  • 2016   Advanced Electronics  

  • 2016   Exercise on Electronics  

  • 2016   Exercise on Electronics  

  • 2016   Research Work  

  • 2015   Exercise on Electronics  

  • 2015   Exercise on Electronics  

  • 2015   Special Seminar on Control Engineering  

  • 2015   Research Work  

  • 2014   Research Work  

  • 2014   Special Seminar on Control Engineering  

  • 2014   Advanced: Instrumentation and Control  

  • 2014   Exercise on Electronics  

  • 2014   Exercise on Electronics  

  • 2014   Advanced Electronics  

  • 2014   Advanced Study on Technical Education  

  • 2013   Research Work  

  • 2013   Special Seminar on Control Engineering  

  • 2013   Advanced: Instrumentation and Control  

  • 2013   Exercise on Electronics  

  • 2013   Exercise on Electronics  

  • 2013   Advanced Electronics  

  • 2013   Advanced Study on Technical Education  

  • 2012   Exercise on Electronics  

  • 2012   Exercise on Electronics  

  • 2012   Special Seminar on Control Engineering  

  • 2012   Advanced Electronics  

  • 2012   Advanced: Instrumentation and Control  

  • 2011   Special Seminar on Control Engineering  

  • 2011   Exercise on Electronics  

  • 2011   Exercise on Electronics  

  • 2011   Advanced: Instrumentation and Control  

  • 2011   Advanced Electronics  

  • 2011   Advanced Electronics   Master's Course

  • 2011   Exercise on Electronics   Master's Course

  • 2011   Exercise on Electronics   Master's Course

  • 2009   Advanced Electronics   Master's Course

  • 2009   Advanced: Instrumentation and Control   Master's Course

  • 2009   Exercise on Electronics   Master's Course

  • 2009   Exercise on Electronics   Master's Course

  • 2008   Advanced: Instrumentation and Control   Master's Course

  • 2008   Advanced Electronics   Master's Course

  • 2008   Advanced Study on Technical Education   Master's Course

▼display all

Research Interests

  • ディープラーニング

  • 時変スペクトル

  • カルマンフィルタ

  • 機械学習

  • 画像解析

  • signal processing

  • 確率過程

  • 化学分析

  • 確率システム

  • 信号処理

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Published Papers

  • Fluid force identification acting on snake-like robots swimming in viscous fluids

    A. Yamano, K. Shimizu, M. Chiba, H. Ijima

    Journal of Fluids and Structures ( Elsevier BV )  106   103351 - 103351   2021.10  [Refereed]

    DOI

  • Influence of the aspect ratio of the sheet for an electric generator utilizing the rotation of a flapping sheet

    Akio YAMANO, Hiroshi IJIMA, Atsuhiko SHINTANI, Chihiro NAKAGAWA, Tomohiro ITO

    Mechanical Engineering Journal ( Japan Society of Mechanical Engineers )  8 ( 1 ) 20 - 00459   2021  [Refereed]

    DOI

  • Fundamental Studies on Robot and Robotic Vision in Paddy Field for Removing Egg Mass of Apple Snails

    井嶋 博, 山口 真範

    和歌山大学教育学部紀要. 自然科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  70   25 - 27   2020.02

    　View Summary

    現在、日本の農業は後継者不足や従事者の高齢化、また都市圏均衡を中心とした兼業農家の増加で、十分に農作業に時間を割ける従事者が減少している。このような問題に対して、農作業の機械化、環境に強い品種への改良、さらには新たな農薬や肥料の開発が進められてきた。一方、害虫除去や雑草の除去作業などの手作業は依然必要であり、十分農作業が軽減されているとは言えない。特に、温暖な地域の水田で劇的に増加しているスクミリンゴガイ(通称ジャンボタニシ)は、水田で頻繁に繁殖を繰り返し、幼苗を捕食することから、それを定期的に除去する作業が農業従事者にとって大きな負担となっており、現在稲作農家は多様な作業が求められている。著者らは、このような稲作における手作業を代替するための手法の一つとして、稲の育成初期に水田を巡回し育成環境を保全するロボットの研究開発を進めることとした。手始めに本論文では、水田を巡回させるロボット開発の見通しと問題点を整理し、また、ロボットに搭載するための映像センサの開発の一つとして、水田中の映像から、有害となるジャンボタニシの卵塊を検出した結果について報告する。

    DOI

  • Extraction and Analysis of Elements Included in Egg Mass of Apple Snails

    山口 真範, 井嶋 博

    和歌山大学教育学部紀要. 自然科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  70   33 - 35   2020.02

    　View Summary

    ジャンボタニシ(スクミリンゴガイ)はリンゴガイ科(リンゴガイ、アップルスネイル)の１種の淡水棲大型巻貝である。1981年に食用目的で初めて日本に導入された外来種である。その卵(卵塊)は非常に鮮やかな濃いピンク色をしている。本研究においてはその卵の色の成分が何であるかを探査することを目的とし抽出を行った。

    DOI

  • Influence of boundary conditions on a flutter-mill

    A Yamano, A Shintani, T Ito, C Nakagawa, H Ijima

    Journal of Sound and Vibration   478 ( 21 ) 115359   2020  [Refereed]

  • Essence and Problem of Education in Secondary Technology Education : Based on the Material and Processing

    嶋本 光芳, 荒木 良一, 井嶋 博

    和歌山大学教育学部紀要. 教育科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  68 ( 2 ) 57 - 60   2018.02

    　View Summary

    中等技術科教育の本質と課題について、材料と加工に関する授業実践の観点からまとめる。初めに、学習指導要領について技術論と技術科教育の視点から考察する。次に、材料と加工に関する授業実践例を検討する。最後にこれらを受けて授業現場の視点から、課題に関するいくつかの具体的提案をする。

    DOI

  • Feasibility of Cross-Curricular Energy Education Around Technology Education

    井嶋 博, 嶋本 光芳, 荒木 良一

    和歌山大学教育学部紀要. 教育科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  68 ( 2 ) 61 - 63   2018.02

    　View Summary

    エネルギーは我々の生活において欠かせないもののひとつであり、現代社会においては、その資源や用途は多様で、利用方法は高度化されてきている。このようなことから新学習指導要領ではエネルギー教育を環境教育の一つに位置付け、様々な学年で複数の教科の中で取り扱われるようになっている。本稿では各教科、学年におけるエネルギー教育の目的と意義を確認し、中学校技術科における教育分野の一つである「エネルギーの変換と利用」を中心とした教科を横断するエネルギー教育の可能性や問題点について述べる。

    DOI

  • Report of Maize Cultivation in Laboratory Farm Fields for Living Environmental Studies

    荒木 良一, 小林 匡輔, 梶村 麻紀子, 井嶋 博

    和歌山大学教育学部紀要. 自然科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  68 ( 1 ) 251 - 254   2018.01

    　View Summary

    2017年度前期の「生活」の講義で行われた和歌山大学附属農場におけるトウモロコシ栽培について、講義内容を振り返るとともに、本講義を受講した学生からの生活科における植物栽培に関するレポートを集約・整理し、生活科における植物栽培について考察した。

    DOI

  • Essence and Problem of Technical Art in Secondary School Education : Based on the Culture of Living Organisms

    荒木 良一, 嶋本 光芳, 井嶋 博

    和歌山大学教育学部紀要. 自然科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  68 ( 1 ) 247 - 250   2018.01

    　View Summary

    技術分野の生物育成分野では生育技術と育成技術に関する内容を扱っている。本稿では生物育成分野の中の植物の栽培における現状について学習指導要領や教科書の内容を整理し、生物育成分野の特徴や課題について考察する。さらに、技術分野が基礎から応用まで扱っているために学生の技術への関心を誘発する可能性が高いので、広範な知識を必要とする技術分野教員をサポートする仕組みが必要であることを指摘した。加えて附属農場で行われた実習についても考察した。

    DOI

  • Basic study of the adaptive control for the swimming robot using self-excited oscillation

    YAMANO Akio, IJIMA Hiroshi

    Transactions of the JSME (in Japanese) ( The Japan Society of Mechanical Engineers )  84 ( 864 ) 18 - 00054-18-00054   2018  [Refereed]

    　View Summary

    <p>Some organisms using undulatory locomotion show the transition of the swimming frequency and the wavelength of the undulation. This transition of swimming behavior is achieved by sensory feedback, and may have the role to cope with the environmental change. Especially, one of the nematode: <i>Caenorhabditis elegans</i> can modulate its frequency from approximately 0.3 to 2 Hz, and vary the wavelength of undulating body from less than a single body length to almost twice the body length. With this modulation, <i>C. elegans</i> achieves the movement under the conditions from in water to on the surface of an agar. Inspired by this finding, we propose the adaptive control for the multilink swimming robot because the environmental change demands a mobile robot the change of the pattern of the locomotion. Proposed adaptive control employs the sensory feedback from joint angles to inputs of actuators at joints to generate the self-excited oscillation. At first, we construct the multilink model in fluid with sensory feedback. After that, we construct the linearized model to obtain the relationship among the external resistive force, parameters of the multilink model and the swimming frequency by using the eigenvalue analysis. We confirm whether the proposed adaptive control simulates the modulation of undulation like <i>C. elegans</i>. Moreover, we specify parameters of the multilink model which are related to the frequency and wavelength of undulation significantly.</p>

    DOI

  • Basic Study of Electric Generator utilizing Sheet Flutter

    YAMANO Akio, IJIMA Hiroshi, SHINTANI Atsuhiko, ITO Tomohiro, NAKAGAWA Chihiro

    The Proceedings of the Dynamics & Design Conference ( The Japan Society of Mechanical Engineers )  2018 ( 0 ) 412 - 412   2018  [Refereed]

    　View Summary

    <p>This paper reports numerical simulations of the energy harvester utilizing the flutter phenomenon of a flexible sheet. Especially, we focus on the energy harvester that an electric generator is at the leading edge of a flexible sheet, which is proposed by a preceding study and a simpler device than conventional power generators using flutter. We employ the simple numerical model which is modeled by the finite element method with Absolute Nodal Coordinate Formulation: ANCF and Unsteady Vortex Lattice Method: UVLM to design this energy harvester easily. The equation of motion for a flexible sheet has the Kelvin-Voigt-type material damping and the rotational damping at the leading edge of a sheet to emulate the effect of the coupling between a sheet and the energy harvesting circuit. This model was verified by comparing among experimental results and numerical results obtained by CFD analysis. After that, we searched the appropriate damping coefficient which corresponds to the load of a generator circuit to achieve high harvesting efficiency by the proposed model. As a result, we confirmed that the power obtained from fluid by a weak rotational damper decreases as increase of material damping when inlet flow velocity is large, and increases as increase of material damping when inlet flow velocity is small.</p>

    DOI

  • Verification of 2D Gaussian Model of Concentration on TLC Plate for Image-Based Quantification of Carbohydrates

    H. Ijima, M. Yamaguchi, H. Nakasuji, A. Yamano

    Proc. of the 2nd International Conference on Applied Physics, System Science and Computers (APSAC2017)   1   331 - 336   2017.09  [Refereed]

  • Practice of Learning Each Other Learn in Technology and Home Economics : By Incorporating the 'Learning Community'

    嶋本 光芳, 井嶋 博, 石塚 亙

    和歌山大学教育学部紀要. 教育科学 ( 和歌山大学教育学部 )  67 ( 67 ) 167 - 171   2017.02

    DOI

  • Essence of Physics at Secondary School Science Education

    顧 萍, 井嶋 博, 石塚 亙, 木曽田 賢治, 富田 晃彦

    和歌山大学教育学部紀要. 教育科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  67   101 - 104   2017.02

    DOI

  • Quantification of Scanning Image for Spot Test Using TLC plate Compensating Lack of Spot Overlaps

    H. Ijima, M. Yamaguchi, H. Nakasuji

    Proc. SICE Annual Conference 2016 (SICE2016)     940 - 943   2016.09  [Refereed]

  • Technology Education vied from Safety Aspects : Concerning about Processing Pipes with Lathes

    Ijima Hiroshi, Teramoto Tougo, Ishizuka Wataru

    和歌山大学教育学部紀要. 教育科学 ( 和歌山大学教育学部 )  66   59 - 62   2016.02

    DOI

  • エクセルVBAによるパワーポイントフラッシュカードの作成

    井嶋 博

    学芸 ( 和歌山大学学芸学会 )  62   135 - 140   2016  [Refereed]

  • Quantification of Carbohydrate Based on Scan Image Analysis for TLC Technique Compensating Lack of Spot Overlaps

    Hiroshi Ijima, Masanori Yamaguchi

    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST) ( IEEE )  2016 ( IST ) 515 - 519   2016  [Refereed]

    　View Summary

    In this paper, a quantification method of the carbohydrate is proposed for samples of spot tests using the thin-layer chromatography (TLC) based on the scanned image analysis compensating lack of overlap between each spot. The color density of image data is modeled by 2-dimensional Gaussian function. Parameters in the Gaussian function are estimated by calculating marginal distribution and using least squares (LS) method. Sample image of the spots on the TLC plate are quantified as calculating the volume of Gaussian function. A numerical example is then carried out for quantifying the glucose which is an important and commonly unit of the carbohydrate. The efficiency of our method is pointed out comparing with two non-compensated methods. In addition, in order to investigate the performance of proposed method, calibrated values are also compared with results using the high performance liquid chromatography (HPLC).

    DOI

  • Similarity Test of Base Sequence Including Simple Sequence Repeat : Feature Extraction in Spectral Domain

    井嶋 博, 南山 泰宏, 来山 顕久

    和歌山大学教育学部紀要. 自然科学 = Bulletin of the Faculty of Education, Wakayama University. 和歌山大学教育学部紀要委員会 編 ( 和歌山大学教育学部 )  65   15 - 19   2015.02

    DOI

  • ITERATIVE APPROACH TO ESTIMATE THE PARAMETERS OF A TVAR PROCESS CORRUPTED BY A MA NOISE

    Hiroshi Ijima, Roberto Diversi, Eric Grivel

    2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) ( IEEE )    456 - 460   2014  [Refereed]

    　View Summary

    A great deal of interest has been paid to the time-varying autoregressive (TVAR) parameter tracking, but few papers deal with this issue when noisy observations are available. Recently, this problem was addressed for a TVAR process disturbed by an additive zero-mean white noise, by using deterministic regression methods. In this paper, we focus our attention on the case of an additive colored measurement noise modeled by a moving average process. More particularly, we propose to estimate the TVAR parameters by using a variant of the improved least-squares (ILS) methods, initially introduced by Zheng to estimate the AR parameters from a signal embedded in a white noise. Simulation studies illustrate the advantages and the limits of the approach.

  • PREDICTION ERROR METHOD TO ESTIMATE THE AR PARAMETERS WHEN THE AR PROCESS IS DISTURBED BY A COLORED NOISE

    Roberto Diversi, Hiroshi Ijima, Eric Grivel

    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) ( IEEE )  2013 Vol.9   6143 - 6147   2013  [Refereed]

    　View Summary

    Estimating the autoregressive parameters from noisy observations has been addressed by various authors for the last decades. Although several on-line or off-line approaches have been proposed when the additive noise is white, few papers deal with the additive moving average noise. In this paper, we suggest estimating the model parameters by using the prediction error method. Despite its high computational cost, the method has the advantage of being efficient in the Gaussian case. A comparative study with existing methods is then carried out and points out the efficiency of our approach especially when the number of samples is small.

  • Deterministic regression methods for unbiased estimation of time-varying autoregressive parameters from noisy observations

    Hiroshi Ijima, Eric Grivel

    SIGNAL PROCESSING ( ELSEVIER SCIENCE BV )  92 ( 4 ) 857 - 871   2012.04  [Refereed]

    　View Summary

    A great deal of interest has been paid to autoregressive parameter estimation in the noise-free case or when the observation data are disturbed by random noise. Tracking time-varying autoregressive (TVAR) parameters has been also discussed, but few papers deal with this issue when there is an additive zero-mean white Gaussian measurement noise. In this paper, one considers deterministic regression methods (or evolutive methods) where the WAR parameters are assumed to be weighted combinations of basis functions. However, the additive white measurement noise leads to a weight-estimation bias when standard least squares methods are used. Therefore, we propose two alternative blind off-line methods that allow both the variance of the additive noise and the weights to be estimated. The first one is based on the errors-in-variable issue whereas the second consists in viewing the estimation issue as a generalized eigenvalue problem. A comparative study with other existing methods confirms the effectiveness of the proposed methods. (C) 2011 Elsevier B.V. All rights reserved.

    DOI

  • EVOLUTIVE METHOD BASED ON A GENERALIZED EIGENVALUE DECOMPOSITION TO ESTIMATE TIME VARYING AUTOREGRESSIVE PARAMETERS FROM NOISY OBSERVATIONS

    Hiroshi Ijima, Julien Petitjean, Eric Grivel

    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING ( IEEE )  2011 Vol.5   3808 - 3811   2011  [Refereed]

    　View Summary

    A great deal of interest has been paid to the estimation of time-varying autoregressive (TVAR) parameters. However, when the observations are disturbed by an additive white measurement noise, using standard least squares methods leads to a weight-estimation bias. In this paper, we propose to jointly estimate the TVAR parameters and the measurement-noise variance from noisy observations by means of a generalized eigenvalue decomposition. It extends to the TVAR case an off-line method that was initially proposed for AR parameter estimation from noisy observations. A comparative study is then carried out with existing methods such as the recursive errors-in-variable approach and Kalman based algorithms.

  • ESTIMATION OF MULTICHANNEL TVAR PARAMETERS FROM NOISY OBSERVATIONS BASED ON AN EVOLUTIVE METHOD

    Hiroshi Ijima, Eric Grivel

    19TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2011) ( EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP )    990 - 994   2011  [Refereed]

    　View Summary

    The multichannel time-varying autoregressive (M-TVAR) model is used in various applications such as radar processing, mobile communications and econometric time series. In that case, the M-TVAR parameter matrices are usually estimated by extending the evolutive method, initially proposed by Grenier in the 80ies for the scalar case. In that case, the time-varying coefficients of each matrix are expressed as weighted combinations of pre-defined basis functions. However, the estimation of the M-TVAR parameter matrices from noisy observations is a still key issue to be addressed. In this paper, we propose an effective evolutive method to estimate M-TVAR matrices from noisy observations. We suggest viewing the weight estimation from noisy observations as an errors-in variables issue. Despite its high computational cost, the approach has the advantage of also providing the covariance matrix of both the driving process and the additive noise. Simulation results point out the relevance of the approach.

  • Kalman Filter‐based Detector of Signals in Nonstationary Random Noise

    IJIMA Hiroshi, OHSUMI Akira

    Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications (Institute of Systems, Control and Information Engineers)   40th   210 - 214   2009  [Refereed]

  • Detection of Signals Corrupted by Nonstationary Random Noise via Kalman Filter-based Stationarization Approach

    Ijima Hiroshi, Ohsumi Akira

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers ( The Institute of Systems, Control and Information Engineers )  8 ( 0 ) 324 - 324   2008  [Refereed]

    　View Summary

    本論文では，非定常不規則雑音に埋もれた信号を検出する新しい手法を提案する．従来，信号検出問題においては，雑音は数学的に取扱いが容易であることからその統計的性質が時間的に変化しない定常確率過程として取り扱われてきた．しかし，実際に観測されるデータには，例えば海上や海底における潮力などの影響によって非定常なものが多く存在する．このような非定常雑音中の信号検出問題に対して，本論文では信号は時間的に局所的に存在し，雑音の非定常性は緩やかに変化するものと仮定して，観測雑音を時変係数を持つARMAモデルで記述できるとする．このモデルパラメータをカルマンフィルタにより推定し非定常観測データを定常とみなせる観測データに変換する手法を提案し，その有効性を数値シミュレーションにより確認する．この手法により，非定常雑音が観測データに介在する問題は，従来の定常雑音に埋もれた信号の検出問題に帰着できる．

    DOI

  • Detection of signals in nonstationary random noise via stationarization of data incorporated with Kalman filter

    Hiroshi Ijima, Yukinori Yamashita, Akira Ohsumi

    2007 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1-3 ( IEEE )    562 - +   2007  [Refereed]

    　View Summary

    Recently, the authors have proposed a method for the detection of signals corrupted by nonstationary random noise based on stationarization of the observation data which can be modeled by the first-order Ito stochastic differential equation. In this paper, in order to apply this method to more general situation, we propose a stationarization method incorporated with Kalman filter. To test the proposed method simulation experiments are presented.

  • ESTIMATION OF MOTION PARAMETERS OF MOVING TARGET USING WIGNER DISTRIBUTION

    Hiroshi Ijima, Azusa Matsuoka, Tetsuya Nakajima, Akira Ohsumi

    ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS ( IEEE )    688 - +   2007  [Refereed]

    　View Summary

    The purpose of this paper is to estimate unknown motion parameters, acceleration and initial velocity, from the radar signal corrupted by random noise. The principal attack of the approach is to use the (pseudo)-Wigner distribution which is computed from the noisy observation data. Parameters are estimated by least-squares method for the noisy instanteanous frequency of returned signal. Numerical simulations are presented to verify the efficacy of the proposed method.

  • A method of detection of signals corrupted by nonstationary random noise via stationarization of the data

    Hiroshi Ijima, Akira Ohsumi, Ryo Okui

    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE ( SCRIPTA TECHNICA-JOHN WILEY & SONS )  90 ( 8 ) 29 - 38   2007  [Refereed]

    　View Summary

    This paper proposes a method for detecting a signal embedded in nonstationary noise. In most past studies of the signal detection problem, random noise is considered as a stationary stochastic process, since it is mathematically easy to handle. However, the noise observed in practice contains many nonstationary elements with time-varying (evolutionary) statistical properties. In this study, observational noise is modeled as a probability density function with slowly evolving parameters. Then, based on the evolving spectral representation, the nonstationary observation data are transformed to a stationary process. A new method is proposed as follows. It is assumed that nonstationarity remains in the stationarized observation data in the interval containing the signal, due to the effect of the signal. Then the signal is detected by testing for stationarity. In the proposed method, Priestley's evolutionary spectrum is used in the spectral representation of the nonstationary stochastic process, and the method of Okabe and colleagues based on the KM2O-Langevin equation is used for the stationarity test. The effectiveness of the proposed method is verified by a simulation experiment. (C) 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(8): 29-38, 2007; Published online in Wiley InterScience (www.interscience.wiley.com).

    DOI

  • A Method of Detection of Signals Corrupted by Nonstationary Random Noise via Stationarization of the Data

    IJIMA Hiroshi, OHSUMI Akira, OKUI Ryo

    The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese edition) A ( The Institute of Electronics, Information and Communication Engineers )  89 ( 6 ) 535 - 543   2006.06  [Refereed]

    　View Summary

    本研究は非定常雑音に埋もれた信号の検出に対する一つの手法を提案したものである.従来の多くの信号検出問題においては,不規則雑音は数学的取扱いが容易であることから定常確率過程として取り扱われてきた.しかし,実際観測される雑音には時間とともに統計的性質が変化する非定常雑音が多く存在する.本研究では,観測雑音を緩やかに変化するパラメータをもつ確率密度関数としてモデル化し,その時間変化するスペクトル表現から非定常な観測データを定常過程に変換する.このとき,信号が存在する区間においてはその信号の影響により定常化された観測データに非定常性が残存すると考え,その定常性の検定により信号を検出するという新しい手法を提案する.この手法において,非定常確率過程のスペクトル表現にはPriestleyの時変スペクトル,定常性の検定には岡部らによるKM_2O-ランジュヴァン方程式に基づいた手法を用いる.提案した手法の有効性をシミュレーション実験により確認している.

  • Time-delay estimation of signals in nonstationary random noise via stationarization and Wigner distribution-based approach.

    Hiroshi Ijima, Akira Ohsumi, Satoshi Yamaguchi

    14th European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, September 4-8, 2006 ( IEEE )    1 - 5   2006  [Refereed]

  • Detection of signals in nonstationary random noise via stationarization and stationarity test

    Hiroshi Ijima, Ryo Okui, Akira Ohsumi

    2005 IEEE/SP 13th Workshop on Statistical Signal Processing (SSP), Vols 1 and 2 ( IEEE )    543 - 546   2005  [Refereed]

    　View Summary

    In this paper, an effective method is proposed for detecting a signal which is corrupted by nonstationary random noise. First, the noisy observation data whose statistical property is nonstationary owing to the noise is modified such that they become stationary ones. Then, based on this stationarized observation process, the stationarity test is executed to detect the signal. The method is tested by simulations to show the efficacy.

  • Motion parameters estimation by new propagation approach and time-frequency representations

    Djurovic, I, S Stankovic, A Ohsumi, H Ijima

    SIGNAL PROCESSING-IMAGE COMMUNICATION ( ELSEVIER SCIENCE BV )  19 ( 8 ) 755 - 770   2004.09  [Refereed]

    　View Summary

    Estimation of time-varying motion parameters of moving objects is considered. The motion parameters are mapped into the instantaneous frequency (IF) of a frequency modulated signal. The IF estimation is obtained by using the Wigner distribution. Generalization in the case of multiple objects and reduced interference distributions is given. A new propagation approach is proposed for joint estimation of velocity and position of objects in a video-sequence. This approach produces better accuracy than the variable mu-propagation-based one. (C) 2004 Elsevier B.V. All rights reserved.

    DOI

  • Parameter Estimation of Chirp Signals in Random Noise Using Wigner Distribution

    Proc. 47th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS 2004)   vol.Ⅱ   177 - 180   2004.07  [Refereed]

  • Parameter Estimation for FM-CW Radar Signals in Random Noise Using Wigner Distribution

    Ijima Hiroshi, Ohsumi Akira

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers ( The Institute of Systems, Control and Information Engineers )  4 ( 0 ) 32 - 32   2004  [Refereed]

    　View Summary

    The authors have recently proposed a method for estimating unknown parameters attributed to the received signal which is contaminated by random noise and, its efficacy has been tested to the real ultra sonic radar system. In this paper the method is applied to the parameter estimation for FM-CW radar signals. The effectiveness of the method is confirmed by simulation experiments.

    DOI

  • Estimation of the parameters and angle-of-arrival of wideband signals on sensor arrays based on the phase differentiation algorithm

    Djurovic, I, A Ohsumi, H Ijima

    OCEANS '04 MTS/IEEE TECHNO-OCEAN '04, VOLS 1- 2, CONFERENCE PROCEEDINGS, VOLS. 1-4 ( IEEE )  Vol.2, pp.631- 634   631 - 634   2004  [Refereed]

    　View Summary

    Phase differentiation algorithms represent a powerful tool for estimation of polynomial phase wideband signals parameters. Here, they are used for development of a suboptimal algorithm for estimation of parameters of wideband signals received on a linear sensor array. The proposed suboptimal method is considered in the case of linear FM signal and compared with the chirp-beamformer approach. The proposed approach behaves slightly worse than the later. However, the chirp beamformer requires a 3D search procedure (or genetic algorithms) that is very consuming comparing to the ID search for chirp-rate parameter and 2D search for carrier frequency and angle-of-arrival estimation. This approach can be generalized to the polynomial phase signals of higher order.

  • Parameter Estimation of Signals in Random Noise : An Approach Using Pseudo-Wigner Distribution

    IJIMA Hiroshi, OHSUMI Akira, DJUROVIC Igor, SATO Hideaki, OKURA Hiroyuki

    The Transactions of the Institute of Electronics, Information and Communication Engineers A ( The Institute of Electronics, Information and Communication Engineers )  86 ( 11 ) 1158 - 1169   2003.11  [Refereed]

    　View Summary

    不規則雑音に埋もれた信号の検定・推定問題は,音声,通信,計測など工学の分野だけでなく医療,自然信号など様々な分野で応用されている.本論文では不規則雑音に埋もれて受信される信号の遅れ時間と伸縮パラメータを同時に推定する新しい手法を提案する.信号の伸縮が受信された信号の周波数に反映されるということに着目して,時間-周波数解析の有力な手法の一つである擬似ウィグナー分布を用い,その時間-周波数領域における確率場に対して尤(ゆう)度関数を求め,それを最大にするアルゴリズムを導出することによってこれらの未知パラメータを推定する.更に,その有効性を数値シミュレーションによって示す.

  • Maximum likelihood estimation of time-delay of ultrasonic signals based on Wigner distribution

    H Ijima, A Ohsumi

    Proc. SICE 2003 ANNUAL CONFERENCE ( IEEE )  pp.1774 -1778   2545 - 2549   2003  [Refereed]

    　View Summary

    Recently, authors have proposed a method to estimate parameters of signals corrupted by random noise, using pseudo-Wigner distribution. In this paper efficacy of this method is demonstrated by experiments concerning to an ultrasonic radar system.

  • Recursive realization of the robust STFT

    Djurovic, I, LA Stankovic, A Ohsumi, H Ijima

    SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS ( IEEE )  vol.1, pp.157-160   157 - 160   2003  [Refereed]

    　View Summary

    An efficient procedure is proposed for the realization of robust short-time Fourier transform (STFT) based on the recursive realization of the standard STFT. In the initial stage it uses the robust STFT calculated by iterative or sorting procedures and, after that, the recursive relation is applied. Basic difference from: the standard STFT realization is in limiting samples in the next instants, since they can be corrupted by an impulse noise. It results in a numerically efficient form of the STFT, keeping robustness to the impulse noise influence.

    DOI

  • Instantaneous frequency estimation by using Wigner distribution and Viterbi algorithm

    L Stankovic, Djurovic, I, A Ohsumi, H Ijima

    2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL VI, PROCEEDINGS ( IEEE )  vol.Ⅵ, pp.121-124   121 - 124   2003  [Refereed]

    　View Summary

    Estimation of the instantaneous frequency (IF) in a high noise environment, by using the Wigner distribution (WD) and the Viterbi algorithm, is considered. The proposed algorithm combines the nonparametric IF estimation based on the WD maxima with minimization of the IF variations between consecutive points. Algorithm realization is performed recursively by using the (modified) Viterbi algorithm. Performances are compared with the IF estimation based on the WD maxima.

  • Estimation of line parameters using SLIDE algorithm and TF representations

    Djurovic, I, S Stankovic, A Ohsumi, H Ijima

    ICES 2002: 9TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS I-111, CONFERENCE PROCEEDINGS ( IEEE )  vol.3, pp.1067-1070   1067 - 1070   2002  [Refereed]

    　View Summary

    An effective procedure for estimation of line parameters using time-frequency (TF) representations and the SLIDE algorithm is presented. The line parameters are mapped into the instantaneous frequency (IF) of frequency modulated (FM) signals. The IF is estimated by using the TF representation. A new propagation approach is proposed. Performance of the proposed approach and the variable It-propagation are compared.

    DOI

  • Maximum likelihood estimation for signal parameters using pseudo-Wigner distribution

    H Ijima, A Ohsumi, H Sato, Djurovic, I

    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5 ( IEEE )  pp.1598-1603   1464 - 1469   2002  [Refereed]

    　View Summary

    In this paper a novel method for identifying unknown parameters associated with the received signals which are corrupted by random noise is established. Our key approach is to construct a likelihood (-ratio) function for the time-frequency random field generated by the pseudo-Wigner distribution. Numerical simulations are presented to verify the efficacy of the proposed method.

  • The enhanced detector of noisy signals using pseudo-Wigner distribution

    IJIMA H.

    Proc. IASTED Int. Conf. Signal Processing, Pattern Recognition and Applications, Rhodes, Greese, July, 2001   pp.95-100   95 - 100   2001  [Refereed]

  • On a Signal Detector using Wavelet-based Quadratic Time-Frequency Distribution

    Proc. 5th WSES Multiconference on Circuits, Systems, Communications & Computers (CSCC 2001)   pp.42-47   2001  [Refereed]

  • High resolution detector for signals in random noise using wavelet-based Wigner distribution

    A Ohsumi, H Ijima, T Sodeoka

    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI ( IEEE )  vol.I, pp.596-599   596 - 599   2000  [Refereed]

    　View Summary

    A new signal detector of a chain of solitary signals corrupted by random noise is proposed by modifying the conventional Wigner distribution with wavelet. The efficacy of the proposed detector is shown by simulation studies.

  • Online detection of pulse sequence in random noise using a wavelet

    A Ohsumi, H Ijima, T Kuroishi

    IEEE TRANSACTIONS ON SIGNAL PROCESSING ( IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC )  47 ( 9 ) 2526 - 2531   1999.09  [Refereed]

    　View Summary

    Two types of wavelet-based algorithms are proposed for an online detection of a train of unknown pulse signals corrupted by random noise. The mechanism of detecting singularities hidden in the noisy observation data is analyzed, and the performance of the proposed signal detectors is evaluated. Simulation studies are provided to confirm the effectiveness of the algorithms.

    DOI

  • On-Line Detection of a Pulse Sequence in Random Noise Using a Wavelet

    OHSUMI Akira, KUROISHI Tomoki, IJIMA Hiroshi

    計測自動制御学会論文集 ( 計測自動制御学会 )  33 ( 7 ) 665 - 673   1997.07  [Refereed]

    DOI

  • On-Line Detection of a Pulse Sequence in Random Noise Using a Wavelet

    OHSUMI Akira, KUROISHI Tomoki, IJIMA Hiroshi

    Transactions of the Society of Instrument and Control Engineers ( The Society of Instrument and Control Engineers )  33 ( 7 ) 665 - 673   1997  [Refereed]

    　View Summary

    The wavelet-based algorithms are proposed for an on-line detection of a train of pulse signals corrupted by random noise. The key approach is to catch the time instant at which the pulse signal changes by computing the correlation between wavelet and observation data. The effectiveness of the proposed algorithms are confirmed by numerical simulation experiments.

    DOI

  • Performance Analysis of the On-line Signal Detectors Using a Wavelet

    OHSUMI Akira, IJIMA Hiroshi

    インテリジェント・システム・シンポジウム講演論文集 = FAN Symposium : fuzzy, artificial intelligence, neural networks and computational intelligence   6   400 - 403   1996.10  [Refereed]

  • Wavelet-Based On-line Detectors for Pulse Signals in Random Noise and Their Performance Analysis

    Proc. World Automation Congress (WAC’98)   pp.265-272   1985  [Refereed]

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    The 2nd International Conference on Applied Physics, System Science and Computers (APSAC2016)  2017.09  

  • オーバラップを考慮した画像解析に基づくTLCによる糖溶液濃度の定量化

    日本糖質学会年会  2017.07  

  • Quantification of Carbohydrate Based on Scan Image Analysis for TLC Technique Compensating Lack of Spot Overlaps

    2016 IEEE International Conference on Imaging Systems and Techniques  2016.10  

  • Quantification of Scanning Image for Spot Test Using TLC plate Compensating Lack of Spot Overlaps

    SICE Annual Conference 2016  2016.09  

  • 制御実験・実習のための車両型模型の開発

    日本産業技術教育学会近畿支部第29回研究発表会  2012.12  

  • Arduinoを用いた車輪型倒立振子の安定化制御に関する研究

    日本産業技術教育学会近畿支部第29回研究発表会  2012.12  

  • Detection of Signals Corrupted by Nonstationary Random Noise via Kalman Filter-Based Stationarization Approach

    16ｔh Europian Signal Processing Conference (EUSIPCO2008)  2008.08  

  • 教材用二足歩行模型の歩行特性の評価

    日本産業技術教育学会第51回全国大会  2008.08  

  • Detection of Signals Corrupted by Nonstationary Random Noise via Kalman Filter-based Stationarization Approach

    Ijima Hiroshi, Ohsumi Akira

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers  2008  

    　View Summary

    本論文では，非定常不規則雑音に埋もれた信号を検出する新しい手法を提案する．従来，信号検出問題においては，雑音は数学的に取扱いが容易であることからその統計的性質が時間的に変化しない定常確率過程として取り扱われてきた．しかし，実際に観測されるデータには，例えば海上や海底における潮力などの影響によって非定常なものが多く存在する．このような非定常雑音中の信号検出問題に対して，本論文では信号は時間的に局所的に存在し，雑音の非定常性は緩やかに変化するものと仮定して，観測雑音を時変係数を持つARMAモデルで記述できるとする．このモデルパラメータをカルマンフィルタにより推定し非定常観測データを定常とみなせる観測データに変換する手法を提案し，その有効性を数値シミュレーションにより確認する．この手法により，非定常雑音が観測データに介在する問題は，従来の定常雑音に埋もれた信号の検出問題に帰着できる．

  • Detection of Signals in Nonstationary Random Noise: An Approach Using Evolutionary Spectrum and Stationarity Test

    OKUI Ryo, IIJIMA Hiroshi, OHSUMI Akira

    システム制御情報学会研究発表講演会講演論文集  2005.05.18  

  • Parameter Estimation for FM-CW Radar Signals in Random Noise Using Wigner Distribution

    Ijima Hiroshi, Ohsumi Akira

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers  2004  

    　View Summary

    The authors have recently proposed a method for estimating unknown parameters attributed to the received signal which is contaminated by random noise and, its efficacy has been tested to the real ultra sonic radar system. In this paper the method is applied to the parameter estimation for FM-CW radar signals. The effectiveness of the method is confirmed by simulation experiments.

  • Performance Analysis of the On-line Signal Detectors Using a Wavelet

    OHSUMI Akira, IJIMA Hiroshi

    インテリジェント・システム・シンポジウム講演論文集 = FAN Symposium : fuzzy, artificial intelligence, neural networks and computational intelligence  1996.10.18  

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Research Exchange

  • 画像定量化手法の開発

    2017.04
    -
    2018.03
     

    　International research exchanges

  • ARモデル係数の推定とその応用

    2014.04
    -
    2015.03
     

    　International research exchanges

  • 時変ARモデルの推定とその応用

    2014.04
    -
    2015.03
     

    　International research exchanges

  • ARモデル係数の推定

    2012.04
    -
    2014.03
     

    　International research exchanges

  • 時変ARモデルの推定

    2010.04
    -
    2014.03
     

    　International research exchanges

  • 移動物体の運動パラメータの推定問題に対して時間‐周波数解析を用いることを検討し，新しい手法を提案した

    2004.04
    -
    2005.03
     

    　International research exchanges

▼display all

KAKENHI

  • 画像解析と数理モデルによる糖分析の高度化

    2017.04
    -
    2020.03
     

    Grant-in-Aid for Scientific Research(C)  Principal investigator

  • 非定常信号モデルとその係数推定手法の開発および時変スペクトル表現の提案

    2012.04
    -
    2015.03
     

    Grant-in-Aid for Scientific Research(C)  Principal investigator

  • 定常化操作による非定常不規則雑音に埋もれた信号検出の基礎研究

    2006.04
    -
    2009.03
     

    Grant-in-Aid for Young Scientists(B)  Principal investigator

  • 地震と風の外乱を受ける柔軟構造物の部分空間同定モデルの構築と制振に関する基礎研究

    2004.04
    -
    2007.04
     

    Grant-in-Aid for Scientific Research(B)  Co-investigator

  • 汎用処理機能を備えた組込み型ソフトセンサ開発システムの試作

    2004.04
    -
    2005.03
     

    Grant-in-Aid for Encouragement of Scientists   Principal investigator

Joint or Subcontracted Research with foundation, company, etc.

  • AIを活用した学校の生活記録と支援システム

    2021.04
    -
    2022.03
     

    Contracted research  Co-investigator

  • AIを活用した学校の生活記録と支援システム

    2020.04
    -
    2021.03
     

    Contracted research  Co-investigator

Instructor for open lecture, peer review for academic journal, media appearances, etc.

  • 講師

    2023.12.09
    -
    2023.12.10

    和歌山県教育委員会教育総務局教職員課

    　View Details

    講演講師

    令和５年度和歌山県教育委員会教育職員免許法認定講習（情報）
    「コンピュータ・情報処理」

  • 講師

    2022.08.06
    -
    2023.08.16

    和歌山県教育委員会教育総務局教職員課

    　View Details

    講演講師

    令和４年度和歌山県教育委員会教育職員免許法認定講習「コンピュータ・情報処理1」講師

  • 非常勤講師

    2020.10.01
    -
    2021.03.31

    国立大学法人大阪教育大学

    　View Details

    非常勤講師

    非常勤講師として「制御・情報工学」の講義を後期金曜３時限を担当する。

  • 講師

    2019.08

    文部科学省委託事業「学校図書館司書教諭講習」

    　View Details

    講演講師等

    講師,任期:2019年8月～2019年8月

  • 学校図書館司書教諭講習会

    2019.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(メディアの活用),日付:2019.8.19-20

  • 学校図書館司書教諭講習会

    2018.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(メディアの活用),日付:2018.8.15-16

  • 学校図書館司書教諭講習会

    2018.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(メディアの活用),日付:2018.8.15-16

  • 講師

    2017.08

    学校図書館司書教諭講習

    　View Details

    講演講師等

    講師,任期:2017年８月～2017年８月

  • 編集および製本を担当

    2017.04
    -
    Now

    日本産業技術教育学会論文発表講演会論文集

    　View Details

    学術雑誌等の編集委員・査読・審査員等

    編集および製本を担当,任期:1年

  • 教員免許状更新講習

    2017.04

    和歌山大学

    　View Details

    公開講座・講演会の企画・講師等

    「Arduinoを用いた自動制御」講師,日付:2017.8.11

  • 学校図書館司書教諭講習会

    2017.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(メディアの活用),日付:2018.8.22-23

  • 講師

    2016.08

    「学校図書館司書教諭講習」

    　View Details

    講演講師等

    講師,任期:2016年8月-2016年8月

  • 教員免許状更新講習

    2016.04

    和歌山大学

    　View Details

    公開講座・講演会の企画・講師等

    「Arduinoを用いた自動制御」講師,日付:2016.8.27

  • ロボット教室

    2016.04

    ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2016.11.14

  • 学校図書館司書教諭講習会

    2016.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(メディアの活用),日付:2016.8.16-17

  • 論文査読委員

    2015.04
    -
    2016.03

    IEICE Transactions

    　View Details

    学術雑誌等の編集委員・査読・審査員等

    論文査読委員,任期:1年

  • 教員免許状更新講習

    2015.04

    和歌山大学

    　View Details

    公開講座・講演会の企画・講師等

    「Arduinoを用いた自動制御」講師,日付:2015.8.21

  • ロボット教室

    2015.04

    ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2015.11.14

  • ロボカップジュニア和歌山ノード大会

    2015.04

    ロボカップジュニア和歌山ノード実行委員会

    　View Details

    公開講座・講演会の企画・講師等

    ロボット競技大会の開催,日付:2015.11.15

  • 学校図書館司書教諭講習会

    2015.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(学校図書館メディアの構成),日付:2015.8.19-20

  • 入門用マイクロコンピュータを用いた計測・制御、ロボット製作

    2015.03

    独立行政法人科学技術振興機構主催「中高生の科学部活動振興プログラム」

    　View Details

    公開講座・講演会の企画・講師等

    制御要素と情報の流れおよびメカトロニクス部品に関する講義,日付:2015.3.1

  • 講師

    2014.08

    「学校図書館司書教諭講習」

    　View Details

    講演講師等

    講師,任期:2014/08/09～2015/08/29

  • 教員免許状更新講習

    2014.04

    和歌山大学

    　View Details

    公開講座・講演会の企画・講師等

    「Arduinoを用いた自動制御」講師,日付:2014.8.28

  • ロボット教室

    2014.04

    ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2014.12.13

  • ロボカップジュニア和歌山ノード大会

    2014.04

    ロボカップジュニア和歌山ノード実行委員会

    　View Details

    公開講座・講演会の企画・講師等

    ロボット競技大会の開催,日付:2014.12.14

  • 学校図書館司書教諭講習会

    2014.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(メディアの活用),日付:2014.8.19-20

  • ロボット教室

    2013.04

    ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2013.12.10

  • ロボカップジュニア和歌山ノード大会

    2012.04

    ロボカップジュニア和歌山ノード実行委員会

    　View Details

    公開講座・講演会の企画・講師等

    ロボット競技大会の開催,日付:2012.12.16

  • わかやま自主研究フェスティバル

    2012.04

    その他

    　View Details

    小・中・高校生を対象とした学部体験入学・出張講座等

    実行委員長

  • 学校図書館司書教諭講習会

    2011.04

    文部科学省

    　View Details

    公開講座・講演会の企画・講師等

    講師(学校図書館メディアの構成),日付:2011.8.22-23

  • わかやま自主研究フェスティバル

    2011.04

    その他

    　View Details

    小・中・高校生を対象とした学部体験入学・出張講座等

    実行委員長

  • おもしろ科学まつり

    2011.04

    その他

    　View Details

    小・中・高校生を対象とした学部体験入学・出張講座等

    実行委員

  • ロボット教室

    2011.04

    ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2011. 8.27

  • ロボット教室

    2011.04

    ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2011.10.23

  • ロボット教室

    2011.04

    ロボット教室プロジェクト（おもしろ科学まつり実行委員会）

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2011.12.10

  • ロボカップジュニア和歌山ノード大会

    2011.04

    ロボカップジュニア和歌山ノード実行委員会

    　View Details

    公開講座・講演会の企画・講師等

    ロボット競技大会の開催,日付:2011.12.11

  • 第２回ロボットカフェ

    2010.01

    和歌山大学ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2010/1/31

  • ロボット教室

    2009.11

    おもしろ科学まつり実行委員会

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習,日付:2009/11/14-15

  • 第1回ロボットカフェ

    2009.10

    和歌山大学ロボット教室プロジェクト

    　View Details

    公開講座・講演会の企画・講師等

    コンテスト用ロボットの開発方法についての講習会主催,日付:2009/10/3

  • ロボット教室

    2009.09

    福島小学校PTA

    　View Details

    公開講座・講演会の企画・講師等

    ロボットプログラミング指導,日付:2009/9/19

  • ロボット教室

    2009.08

    ロボカップジュニア和歌山ノードおよび関西ブロック

    　View Details

    公開講座・講演会の企画・講師等

    ロボットプログラミング指導,日付:2009/8/29

  • ロボット講座

    2009.07

    桐蔭高等学校科学部

    　View Details

    公開講座・講演会の企画・講師等

    ロボットプログラミング指導,日付:2009/7/14

  • 論文査読委員

    2008.04
    -
    Now

    電子情報通信学会学会誌

    　View Details

    学術雑誌等の編集委員・査読・審査員等

    論文査読委員,任期:2008年度

  • スーパーサイエンスハイスクール中高合同講座

    2008.04

    その他

    　View Details

    小・中・高校生を対象とした学部体験入学・出張講座等

    工学に応用される数理，制御工学を中心に簡単な機械を使って、その仕組みを数理的な側面からも詳しく調べた

  • 論文査読委員

    2006.04
    -
    Now

    電子情報通信学会学会誌

    　View Details

    学術雑誌等の編集委員・査読・審査員等

    論文査読委員,任期:2006年度

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Course for renewal of teaching license, teacher-librarian course, etc. (contracted business）

  • 2021  【選択】制御技術につながる電子回路(教員免許状更新講習)

  • 2020  【選択】制御技術につながる電子回路(コロナ対策のため開講中止)(教員免許更新講習)

  • 2015  司書教諭講習(メディアの構成)

  • 2014  教員免許状更新講習(Arduinoで学ぶ自動制御)

  • 2014  司書教諭講習(情報メディアの活用)

  • 2013  司書教諭講習(情報メディアの活用)

  • 2013  教員免許状更新講習(Arduinoで学ぶ自動制御)

  • 2012  司書教諭講習(情報メディアの活用)

  • 2012  教員免許状更新講習(Arduinoで学ぶ自動制御)

  • 2011  司書教諭講習(情報メディアの活用)

  • 2011  教員免許状更新講習(Arduinoで学ぶ自動制御)

  • 2008  司書教諭講習(情報メディアの活用)

▼display all

Committee member history in academic associations, government agencies, municipalities, etc.

  • 助言者

    2019.11
     

    令和元年度第57回和歌山県高等学校理科研究大会

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    国や地方自治体、他大学・研究機関等での委員

    助言者,任期:2019年11月～

  • 助言者

    2018.11
     

    第56回和歌山県高等学校理科研究大会

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    国や地方自治体、他大学・研究機関等での委員

    助言者,任期:2018年11月～

  • 実行委員として大会の企画運営

    2018.04
    -
    2021.03
     

    ロボカップジュニアジャパンオープン和歌山大会実行委員会

    　View Details

    国や地方自治体、他大学・研究機関等での委員

    実行委員として大会の企画運営,任期:2018-2020

  • 実行委員

    2017.12
     

    日本産業技術教育学会

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    学協会、政府、自治体等の公的委員

    論文発表講演会の実施,任期:1年

  • 助言者

    2017.11
     

    第55回和歌山県高等学校理科研究大会

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    国や地方自治体、他大学・研究機関等での委員

    助言者,任期:2017年１１月～