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YOSHIDA Hiromi

    Department of Electronic Engineering and Computer Science　Lecturer
Last Updated :2024/05/19

Researcher Information

Research funding number

  • 80637398

J-Global ID

Research Interests

  • 領域抽出   画風変換   画像処理   

Research Areas

  • Informatics / Software

Association Memberships

  • 情報処理学会   THE SOCIETY FOR ART AND SCIENCE   THE INSTITUTE OF IMAGE ELECTRONICS ENGINEERS OF JAPAN   

Published Papers

  • Thresholding for Stereo Image Based on Evaluation of Disparity Information
    吉田大海
    情報処理学会論文誌 64 (12) 1689 - 1698 2023/12 [Refereed]
  • Edge Evaluation of Stereo Image and the Application to Canny Edge Detector
    吉田 大海
    情報処理学会論文誌 63 (9) 1532 - 1536 2022/09 [Refereed]
  • 吉田 大海
    画像電子学会誌 50 (4) 604 - 613 2021/10 [Refereed]
  • Image Inpainting for Paint Crack by Space Distance and Difference of Bilateral Filter
    吉田 大海
    芸術科学会論文誌 19 (5) 113 - 122 2020/12 [Refereed]
  • Low-Light Image Enhancement via Adaptive Shape and Texture Prior
    Kazuki Kurihara; Hiromi Yoshida; Youji Iiguni
    The 15th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS 74 - 81 2019/11 [Refereed]
  • Dehazing with Recovery Level Map: Suppressing Over-Enhancement and Residual Haze
    Kentaro Iwamoto; Hiromi Yoshida; Youji Iiguni
    The 15th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS 67 - 73 2019/11 [Refereed]
  • テクスチャ解析を用いた更新が容易な津波浸水予測ハザードマップ作成法
    中西 創; 吉田 大海; 飯國 洋二
    土木学会論文集 74 (1) 55 - 66 2018/08 [Refereed]
  • 吉田 大海
    画像電子学会誌 The journal of the Institute of Image Electronics Engineers of Japan : visual computing, devices & communications 画像電子学会 47 (1) 41 - 51 2186-716X 2018 [Refereed]
  • 中嶋 研生; 吉田 大海; 飯國 洋二
    画像電子学会誌 The journal of the Institute of Image Electronics Engineers of Japan : visual computing, devices & communications 画像電子学会 47 (2) 167 - 174 2186-716X 2018 [Refereed]
  • Ryota Okawa; Hiromi Yoshida; Youji Iiguni
    Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017 Institute of Electrical and Electronics Engineers Inc. 282 - 285 2017/07 [Refereed]
     
    This paper presents a system that automatically converts 2D raster images to sketch style. The proposed method first extracts edges at different resolutions. Then, these shapes and brightness are varied and merged. This process expresses trial and error in the actual sketch. Experimental results showed that the proposed method produces images with natural appearance.
  • Taichi Arimasa; Hiromi Yoshida; Yoji Iiguni
    Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017 Institute of Electrical and Electronics Engineers Inc. 278 - 281 2017/07 [Refereed]
     
    Lately, surveillance cameras are widely utilized. Nevertheless, raindrops or mud sometimes obstruct the field of view when we use them outside. In this research, we propose a method that can remove noises better than conventional method. In the conventional method, we take photographs while rotating the camera. Then, by considering the relationship between angles of photographing and objects in the images, we can detect noises. But in this method, if the luminance of the objects and noises are so close, we cannot detect them exactly. So we solve the problem by using clustering.
  • 吉田 大海
    画像電子学会誌 The journal of the Institute of Image Electronics Engineers of Japan : visual computing, devices & communications 画像電子学会 46 (3) 395 - 402 2186-716X 2017 [Refereed]
  • Takahiro Tsujii; Hiromi Yoshida; Youji Iiguni
    OPTICAL ENGINEERING SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS 55 (10) 104104 - 104104 0091-3286 2016/10 [Refereed]
     
    In marine transportation, a draft survey is a means to determine the quantity of bulk cargo. Automatic draft reading based on computer image processing has been proposed. However, the conventional draft mark segmentation may fail when the video sequence has many other regions than draft marks and a hull, and the estimated waterline is inherently higher than the true one. To solve these problems, we propose an automatic draft reading method that uses morphological operations to detect draft marks and estimate the waterline for every frame with Canny edge detection and a robust estimation. Moreover, we emulate surveyors' draft reading process for getting the understanding of a shipper and a receiver. In an experiment in a towing tank, the draft reading error of the proposed method was < 1 cm, showing the advantage of the proposed method. It is also shown that accurate draft reading has been achieved in a real-world scene. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
  • 上野 大; 吉田 大海; 飯國 洋二
    システム制御情報学会論文誌 = Transactions of the Institute of Systems, Control and Information Engineers システム制御情報学会 29 (6) 266 - 274 1342-5668 2016/06 [Refereed]
  • Yoshida Hiromi
    The Journal of the Institute of Image Electronics Engineers of Japan 一般社団法人 画像電子学会 45 (2) 212 - 215 0285-9831 2016 [Refereed]
     
    This paper describes an improvement of pencil stroke map which is proposed as a pencil line drawing method. Pencil stroke map detects gradient of image and products pencil line drawing by convolution line segment with respect to each angle of gradient. However, this method has the problem that if length of line segment for convolution is unsuitable for size of graphic, resulting image loses the shape of them or degrades its quality as pencil line drawing. On this account, proposed method classifies graphics by size and change the length of line segment depending on classification result, resulting image can be obtained with improved this problem. In experiment, this paper shows effectiveness of proposed method by comparison of resulting image between proposed method and pencil stroke map.
  • Virtual Wiper-Restoration from Vehicle-Mounted Camera Using Wiper Template
    Akio Nakashima; Hiromi Yoshida; Youji Iiguni
    Proceedings of the International Symposium on ENGINEERING SCIENCE 2015 256 - 260 2015/05 [Refereed]
  • Advanced Gabor Filter for Low-quality Document Image Based on Visual Feature
    Satoshi Yoneda; Hiromi Yoshida; Youji Iiguni
    Proceedings of the World Engineering Conference and Convention 2015 1 - 5 2015 [Refereed]
  • Yoshida Hiromi
    The Journal of the Institute of Image Electronics Engineers of Japan 一般社団法人 画像電子学会 44 (1) 77 - 84 0285-9831 2015 [Refereed]
     
    In this paper, I propose an image inpainting technique for damaged oil painting that aims to create their restored examples. Usually, image inpainting technique has the advantage of being able to work well for a wide variety of images because it does not require any information about target images. However, image inpainting has the potential to work more effectively if it limits the targets and introduces the processing based on property of oil painting. Proposed method achieves high performance for oil painting images by introducing two processing based on property of them. One is to apply smoothing filter based on painting technique, and the other is to add asperity of painting as texture.
  • Yoshida Hiromi; Iiguni Youji
    The Journal of the Institute of Image Electronics Engineers of Japan 一般社団法人 画像電子学会 43 (3) 374 - 382 0285-9831 2014 [Refereed]
     
    This paper proposes inpainting technique based on space distance for scratched image which damage location is given. Conventional methods using pixel value can be categorized into two major classes. One is a pixel-based method which interpolates missing regions on a pixel-to-pixel basis by evaluating continuity of luminance. The other is a patch-based method which uses image fragment for interpolation based consistency between the missing region and source region. However, if scratch damages are widely and densely distributed on the image, both methods are inapplicable to it. In the context of it, the inpainting technique which considers space distance between the missing region and source region as a likelihood is proposed. By the reason that the proposed method is categorized into a pixel-based method, it is applicable to images which can not secure the image fragment required by patch-based method. In addition, interpolating without having to refer the pixel values of source region, it is also applicable to images which can not evaluate continuity of luminance. Since the interpolation pixels are determined by only it's location in missing region, the proposed method requires no iterative computation and the information of mid-flow, resulting in high-speed computing. The experiment shows performance of proposed method for variety of images.
  • OKAMOTO Akihiro; YOSHIDA Hiromi; TANAKA Naoki; HIRONO Kouhei
    The Journal of Japan Institute of Navigation 公益社団法人 日本航海学会 130 (0) 135 - 140 0388-7405 2014 [Refereed]
     
    It is an important step to read draughts accurately in the process of draught surveys because inaccurate one could lead to a cause of disputes between all the interested parties. The draught reading is conducted by ship's officers or professional surveyors based on their visual observation even today. Therefore, there are some difficulties in keeping an accurate measurement or observer's safety under unfavorable conditions such as bad weather, strong swell and so forth. In this paper, the authors propose a novel draught reading method using image processing for supporting reading draughts. The method comprises some processing steps, detecting draught marks, stabilizing the hull motion and recognizing draught marks by template matching, and detecting waterline due to accumulated sequential inter-frame differences. Experimental results show that the proposed method attained high precision of the measurement.
  • Yoshida Hiromi; Iiguni Youji
    The Journal of the Institute of Image Electronics Engineers of Japan 一般社団法人 画像電子学会 43 (4) 595 - 598 0285-9831 2014 [Refereed]
     
    This paper proposes laser image binarization for crack detection by fractal dimension. Laser image is one of the road surface image and can be obtained by observing scattering light of laser from road surface. It has the advantage of robustness of lighting condition over an image that is taken by optical camera. However, surface asperity of road manifests as texuture regions in these images. So, crack detection method needs to be deal with texture regions. Although many of conventional methods geared toward concrete construct, these methods do not work well to road surface image. Proposed method can evaluate a texture region and binarized laser image effectively through the use of blanket method locally and globally.
  • Yoshida Hiromi
    The Journal of the Institute of Image Electronics Engineers of Japan 一般社団法人 画像電子学会 43 (1) 28 - 34 0285-9831 2014 [Refereed]
     
    A conditional image enhancement for the low-quality document image is proposed. In a document recognition by software such as OCR, image resolution is very important factor for recognition rate and an images which are low-resolution can be expected to be improved through the existing enhancement methods which can add high-frequency component. However, if images include such noise regions as bleed-through, blot and slur, they process not only improving character regions but also increasing a noises, and cause false recognition. The proposed method can improve the character regions without noise enhancement by conditional adding high-frequency component. This paper shows the effective using OCR software and by comparing existing enhancement method.
  • A New Method of Character Strings Extraction based on Blanket Binarization
    Hiromi Yoshida; Naoki Tanaka; Takashi Nagamatsu
    International Workshop on Document Analysis Systems, Short Paper Booklet 9 - 10 2013/05 [Refereed]
  • A Binarization Method for the Character Extraction from Scene Image by the Blanket Method
    YOSHIDA Hiromi; TANAKA Naoki
    画像電子学会誌 42 (1) 41 - 46 2013 [Refereed]
  • Akihiro Okamoto; Hiromi Yoshida; Naoki Tanaka
    Proceedings of the 13. IAPR International Conference on Machine Vision Applications, MVA 2013, Kyoto, Japan, May 20-23, 2013 294 - 297 2013 [Refereed]
  • Yoshida Hiromi; Uemura Hiroyuki; Tanaka Naoki; Inoue Takeshi
    The Journal of Japan Institute of Navigation 公益社団法人 日本航海学会 124 (0) 345 - 353 0388-7405 2011 [Refereed]
     
    Transmitting a weather chart on a fisheries radio voice band, data size of a chart must be less than 3KB in order to keep the required time of a few minutes. Since it has over 340KB data size originally, we need to reduce the size by one hundredth. In this paper, we propose a new compression method for weather chart. Compared with the previous method, proposed method includes the following advantages. Implementation of error detection and feedback system, reducing computational cost by speeding up blanket method, and improvement of visibility by filtering process based on character features.
  • Hiromi Yoshida; Naoki Tanaka
    Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), Nara Centennial Hall, Nara, Japan, June 13-15, 2011 31 - 34 2011 [Refereed]
  • Hiromi Yoshida; Naoki Tanaka
    Journal of the Institute of Image Electronics Engineers of Japan 一般社団法人 画像電子学会 39 (4) 463 - 472 1348-0316 2010 [Refereed]
     
    We propose a new global binarization method suited for character strings extraction from a scene image. To obtain a high-quality segmentation result, binarization is a significant step in character extraction process. Since character strings region of sign board has the wide variety of layout and color, it is hard to binarize this category of images by conventional global methods, which are based on statistical information. The proposed method can select a threshold by evaluating the fineness of the binarized image by using the fractal dimension. By evaluating the compactness and stability of the regions of binarized image with the fractal dimension calculated by blanket method, the proposed method achieves fine binarzation results, which are no way inferior to manually and/or using one of promising global methods known as Otsu binarizing method. © 2010, The Institute of Image Electronics Engineers of Japan. All rights reserved.
  • Yoshida Hiromi; Tanaka Naoki; Inoue Takeshi
    The Journal of Japan Institute of Navigation 公益社団法人 日本航海学会 122 (0) 61 - 67 0388-7405 2010 [Refereed]
     
    Transmitting a weather chart on a fisheries radio voice band, data size of a chart must be less than 3KB in order to keep the required time of a few minutes. Since it has over 340KB data size originally, we need to reduce the size by one hundredth. With conventional method, e.g. FAX format, 11KB is the best compressed size. In this paper we propose a new compression method for weather chart which achieves 3KB of compressed size with a fine quality of output image.
  • Hiromi Yoshida; Naoki Tanaka; Takeshi Inoue
    Journal of the Institute of Image Electronics Engineers of Japan 一般社団法人 画像電子学会 39 (4) 490 - 493 1348-0316 2010 [Refereed]
     
    The Hilditch thinning algorithm is a sophisticated method for digital images and thought to be still useful in today. A kind of faulty version of Hilditch thinning algorithm which acts on incorrect connectivity condition has been found in some theses and/or on web sites. In this paper, we point out why and how the false version has appeared to request attention to algorithm details to use a strict Hilditch thinning algorithm. © 2010, The Institute of Image Electronics Engineers of Japan. All rights reserved.
  • Hiromi Yoshida; Naoki Tanaka
    PROCEEDINGS OF THE 2009 CHINESE CONFERENCE ON PATTERN RECOGNITION AND THE FIRST CJK JOINT WORKSHOP ON PATTERN RECOGNITION, VOLS 1 AND 2 IEEE 845 - 848 2009 [Refereed]
     
    We propose a new binarization method suited for character extraction from a sign board in a scenery image. The binarization is one of a significant step in character extraction in order to get high quality result. Character region on sigh board, however, has many variation and colors. In addition to it, if there exists high frequency texture region like a mountain or trees in the background, it can be a cause of difficulty to binarize an image. At the high frequency region, the binarized result is sensitive to the threshold value. On the other hand, a character region of sign board consists of solid area, that is, includes few high frequency regions, and has relatively high contrast. So the binarized result of character region is stable at an interval of the threshold value. Focusing attention on this point, we propose a new binarization method which obtains a threshold value based on the fractal dimension by evaluating both region's density and stability to threshold value. Through the proposed method, we can get a fine quality binarized images, where the characters can be extracted correctly.
  • Hiromi Yoshida; Naoki Tanaka
    Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), Keio University, Yokohama, Japan, May 20-22, 2009 70 - 73 2009 [Refereed]
  • Hiromi Yoshida; Naoki Tanaka
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, PROCEEDINGS SPRINGER-VERLAG BERLIN 5856 29 - 36 0302-9743 2009 [Refereed]
     
    We propose a new binarization method suited for character extraction from a sign board in a scenery image. The binarization is thought to be a significant step in character extraction in order to get high quality result. Character region of sigh board, however, has many variation and colors. In addition to it, if there exists high frequency texture region like a mountain or trees in the background, it can be a cause of difficulty to binarize an image. At the high frequency region, the binarized result is sensitive to the threshold change. On the other hand, a character region of sign board consists of solid area, that is, includes few high frequency regions, and has relatively high contrast. So the binarized result of character region is stabile against an interval of the threshold value. Focusing attention on this point, we propose a new method which obtains a threshold value based on the fractal dimension to evaluate both region's density and stability to threshold change. Through the proposed method, we can get a fine quality binarized images, where the characters can be extracted correctly.
  • A Study on Signboard Image Identification with SIFT Features
    Hiromi Yoshida; Naoki Tanaka
    In Handout of 8th IAPR International Workshop on Document Analysis System 10 - 13 2008 [Refereed]

Books etc

  • OpenCVで超基礎から応用まで75例 ステレオ画像の画像処理
    CQ出版社 2021/11
  • 特別特集 はじめての動画処理プログラム全集
    吉田 大海 (Single workpp.45-109)CQ出版社 2018/07
  • AI/VR基礎固め！ 新・画像処理101 CD付
    吉田 大海 (Single workpp.16-106)CQ出版社 2017/03

Conference Activities & Talks

  • 視差精度評価手法に基づくステレオ画像の匿名化に関する研究  [Not invited]
    芝﨑雅人 吉田大海
    映像表現&コンピュータグラフィックス研究会（AIT）  2022/10
  • ステレオ画像のポスタリゼーションと視差精度評価に関する研究  [Not invited]
    中家帆貴; 吉田大海
    映像表現&コンピュータグラフィックス研究会（AIT）  2022/10
  • 低品質文書画像を対象としたモルフォロジー演算による 2 値化と考察  [Not invited]
    木浦崚太; 吉田大海
    2021 年度 第 49 回画像電子学会年次大会  2021/06
  • 構造型と事例型を考慮した欠損領域に基づくインペインティング  [Not invited]
    頼政 岬; 吉田大海
    2021 年度 第 49 回画像電子学会年次大会  2021/06
  • 構造型インペインティングの違和感軽減を目的とした後処理の考察  [Not invited]
    桒嶋 翼; 吉田大海
    2021 年度 第 49 回画像電子学会年次大会  2021/06
  • Tetrahedron Height Minimization for Vanishing Point Detection  [Not invited]
    中山大; 吉田大海; 飯國洋二
    画像関連学会連合会 第6回秋季大会  2019/10
  • Underwater Image Restoration Based on Luminance Map  [Not invited]
    森泉博貴; 吉田大海; 飯國洋二
    画像関連学会連合会 第6回秋季大会  2019/10
  • Shadow Removal in Images Using Multi-Scale Image Decomposition and Region Segmentation  [Not invited]
    柳勇思; 吉田大海; 飯國洋二
    画像関連学会連合会 第6回秋季大会  2019/10
  • IoTやAI技術の基礎となる画像処理  [Invited]
    吉田 大海
    インターフェース500号記念ワークショップ  2019/02
  • 画像処理の応用例と研究テーマ  [Invited]
    吉田 大海
    第３４回 大阪大学 大学院基礎工学研究科 産学交流会  2018/11
  • Saliency Mapを用いた単一画像からの霧の除去  [Not invited]
    岩本 健太郎; 吉田 大海; 飯國 洋二
    画像電子学会 第286回研究会 in 松本  2018/08
  • 色彩を考慮したラプラシアンピラミッドに基づくカラー画像の高解像度化  [Not invited]
    長縄 祐太郎; 吉田 大海; 飯國 洋二
    画像電子学会 第286回研究会 in 松本  2018/08
  • Variational Retinex Modelと活性化マップを用いた夜間低照度画像の鮮明化  [Not invited]
    栗原 一樹; 吉田 大海; 飯國 洋二
    画像電子学会 第286回研究会 in 松本  2018/08
  • 領域境界を考慮したPoisson合成による画像修復  [Not invited]
    田中 雄基; 吉田 大海; 飯國 洋二
    画像電子学会 第286回研究会 in 松本  2018/08
  • 構造と彩度に基づく複数の揺らめき表現を付加した動画生成  [Not invited]
    永野 靖子; 吉田 大海; 飯國 洋二
    画像電子学会 第286回研究会 in 松本  2018/08
  • 川邊 彪; 吉田 大海; 飯國 洋二
    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2017/10
  • 加藤 洋明; 吉田 大海; 飯國 洋二
    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2017/10
  • 中西 創; 吉田 大海; 飯國 洋二
    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2017/10
  • AI技術の基礎となる画像処理  [Invited]
    吉田 大海
    ARMマイコン・ワークショップ2017, テクニカルセッション(招待講演)クラウドAIトラック  2017/07
  • 松本 光司; 吉田 大海; 飯國 洋二
    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2016/07
  • 大川 僚太; 吉田 大海; 飯國 洋二
    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2016/07
  • 時間軸方向のクラスタリングを用いた時空間画像からの視野妨害ノイズ領域検出  [Not invited]
    有正太一; 吉田大海; 飯國洋二
    第44回画像電子学会年次大会  2016/06
  • 車載カメラ画像を対象とした濃度共起行列に基づく舗装解析  [Not invited]
    武藤大将; 吉田大海; 飯國洋二
    第44回画像電子学会年次大会  2016/06
  • 領域境界に着目した事例ベース型による衛星画像の領域分類  [Not invited]
    奥山真仁; 吉田大海; 飯國洋二
    第44回画像電子学会年次大会  2016/06
  • 上野 大; 吉田 大海; 飯國 洋二
    システム制御情報学会研究発表講演会講演論文集  2015/05
  • Ikeda Shujiro; Yoshida Hiromi; Iiguni Youji
    Proceedings of the IEICE General Conference  2014/03
  • Shibata Hiroki; Yoshida Hiromi; Iiguni Youji
    Proceedings of the IEICE General Conference  2014/03
  • Ashida Ken; Yoshida Hiromi; Iiguni Youji
    Proceedings of the IEICE General Conference  2014/03
  • Tsujii Takahiro; Yoshida Hiromi; Iiguni Youji
    Proceedings of the IEICE General Conference  2014/03
  • 画像処理を用いた計測距離にロバストな喫水自動読取方式  [Not invited]
    岡本章裕; 吉田大海; 田中直樹; 廣野康平
    日本航海学会第128回講演会  2013/05
  • ブランケット法に基づく高速なフラクタル次元算出方式  [Not invited]
    中田裕一; 吉田大海; 田中直樹
    2012年度 画像電子学会第40回年次大会  2012/06
  • 音声帯域の漁業無線を用いたデータ伝送に適した実況天気図の圧縮・復元方式の改良  [Not invited]
    吉田大海; 植村博之; 田中直樹; 井上健
    日本航海学会第123回講演会  2010/10
  • 音声帯域の漁業無線を用いたデータ伝送に適した実況天気図の圧縮  [Not invited]
    吉田大海; 田中直樹; 井上健
    日本航海学会第121回講演会  2009/09

MISC

Awards & Honors

  • 2021/08 画像電子学会 研究奨励賞
     構造型と事例型を考慮した欠損領域に基づくインペインティング 
    受賞者: 頼 政岬;吉田 大海
  • 2019/07 土木学会 土木情報学賞 論文奨励賞
     テクスチャ解析を用いた更新が容易な津波浸水予測ハザードマップ作成法 
    受賞者: 中西創;吉田大海;飯國洋二
  • 2018/12 映像情報メディア学会 優秀研究発表賞
     Saliency Mapを用いた単一画像からの霧の除去 
    受賞者: 岩本 健太郎;吉田;大海;飯國 洋二
  • 2017/06 画像電子学会 研究奨励賞
     時空間方向のクラスタリングを用いた時空間画像からの視野妨害ノイズ領域検出 
    受賞者: 有正 太一;吉田;大海;飯國 洋二

Research Grants & Projects

  • 独立行政法人日本学術振興会：科学研究費助成事業 若手研究(B)
    Date (from‐to) : 2019/04 -2021/03 
    Author : 吉田 大海
  • 空間距離に基づくスクラッチ欠損補間
    独立行政法人日本学術振興会：科学研究費助成事業 若手研究(B)
    Date (from‐to) : 2014/04 -2016/03 
    Author : 吉田 大海

Teaching Experience

  • 電子情報工学実験２電子情報工学実験２ Kindai University
  • 確率統計学確率統計学 Kindai University
  • プログラミング1プログラミング1 Kindai University
  • 情報技術英語2情報技術英語2 Kindai University
  • Integrated circuitIntegrated circuit Kindai University

Social Contribution

  • 色々な電子情報技術とこれからの通信環境
    Date (from-to) : 2019/07/04-2019/07/04
    Role : Lecturer
    Category : Visiting lecture
    Sponser, Organizer, Publisher  : 株式会社さんぽう
    Event, Program, Title : 県立加茂高等学校 進路説明会
  • SCI'15 - 第59回システム制御情報学会研究発表講演会 実行委員
    Date (from-to) : 2014-2015
    Role : Organizing member
    Category : Others
    Sponser, Organizer, Publisher  : システム制御情報学会
    Event, Program, Title : SCI'15 - 第59回システム制御情報学会研究発表講演会

Other link

researchmap


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