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Affiliation |
Engineering educational research section Information and Communication Technology Program |
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Title |
Associate Professor |
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External Link |
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Related SDGs |
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YAMABA Hisaaki
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Degree 【 display / non-display 】
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Doctor (Engineering) ( 2011.3 University of Miyazaki )
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Master(Engineering) ( 1990.3 Tokyo Institute of Technology )
Research Areas 【 display / non-display 】
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Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Chemical reaction and process system engineering
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Informatics / Information security
Papers 【 display / non-display 】
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Aridome N., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 575 - 579 2025.2
Language：English Publishing type：Research paper (international conference proceedings) Publisher：Proceedings of International Conference on Artificial Life and Robotics
As a method for detecting layout defects in web pages, image-based visual regression testing is proposed. However, it has the problem that it takes time to detect unintended layout differences that are not based on HTML code changes. This paper proposes a prototype of MixVRT which is a tool to detect layout defects in web pages. It is a visual regression testing tool that highlights layout defects in web pages. From evaluation experiments, the time find to layout defects can be reduced.
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Kimura Y., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 580 - 584 2025.2
Language：English Publishing type：Research paper (international conference proceedings) Publisher：Proceedings of International Conference on Artificial Life and Robotics
The digitalization of forms is being promoted. One of the effective ways to manage contents filled in fields is using electronic forms. Several tools have been developed to generate them automatically. However, when you use a paper form, the layout of the original form may change, and it takes time to generate electronic one because it is necessary to place fill-in fields on an electronic form by dragging with a mouse. This paper proposes a method for automatic fill-in fields detection and labels assignment to reduce time required to place fill-in fields without changing the layout. The proposed method can reduce the time to place fill-in fields.
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A study of Collaborative malware detection using item response theory Reviewed
Takuro Inada, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 2025 Int'l Symp. on Artificial Life and Robotics (ISAROB 2025) 1070 - 1073 2025.1
Publishing type：Research paper (international conference proceedings)
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Introducing Generative AI into Unrealistic Image CAPTCHA for Effective Image Generation Reviewed
Kana Saiki, Hisaaki Yamaba, Shotaro Usuzaki, Kentaro Aburada, Masayuki Mukunoki, Mirang Park, Naonobu Okazaki
Proc. 2025 Int'l Symp. on Artificial Life and Robotics (ISAROB 2025) 1085 - 1090 2025.1
Authorship：Corresponding author Publishing type：Research paper (international conference proceedings)
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Introduction of Feature Points in Images for Improvement of Finding Letters Type CAPTCHA Based on Neural Style Transfer Reviewed
Ramu Kiura, Hisaaki Yamaba, Shotaro Usuzaki, Kentaro Aburada, Masayuki Mukunoki, Mirang Park, Naonobu Okazaki
Proc. 2025 Int'l Symp. on Artificial Life and Robotics (ISAROB 2025) 1079 - 1084 2025.1
Authorship：Corresponding author Publishing type：Research paper (international conference proceedings)
Books 【 display / non-display 】
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Identification of Manual Alphabets Based Gestures Using s-EMG for Realizing User Authentication
Yamaba H., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.（ Role： Sole author）
Lecture Notes on Data Engineering and Communications Technologies 2020
Language：Japanese Book type：Scholarly book
At the present time, since mobile devices such as tablet-type PCs and smart phones have penetrated deeply into our daily lives, an authentication method that prevents shoulder surfing attacks comes to be important. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are generated by the electrical activity of muscle fibers during contraction, can be detected over the skin surface, and muscle movement can be differentiated by analyzing the s-EMG signals. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In order to realize this method, we have to prepare a sufficient number of gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We introduced manual kana of the Japanese Sign Language syllabary and compared the identification performance of some candidate sets of feature values with adopting support vector machines.
MISC 【 display / non-display 】
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Usuzaki S., Aburada K., Yamaba H., Katayama T., Mukunoki M., Park M., Okazaki N.
Artificial Life and Robotics 27 ( 1 ) 2022.2
Language：Japanese Publishing type：Rapid communication, short report, research note, etc. (scientific journal) Publisher：Artificial Life and Robotics
In the original publication of the article, on Figs. 4 and 5, “CNN” should read as “MLP”. In addition, under the section “4.2 Human and machine success rate”, on the paragraph “For evaluation of the machine success …”, in the following sentence “In the attack experiment, we applied the famous color …” CNN (Convolutional Neural Network) should be corrected as MLP (Multilayer perceptron). The correct sentence should read as “In the attack experiment, we applied the famous color constancy algorithm, Gray-World, Max-RGB, Gray-Edge [11], Second Derivative Gray-Edge, and MLP (Multilayer perceptron) to images that were saved in the experiment for the human success rate
Presentations 【 display / non-display 】
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1B10 Do not let the remote class experiences become a liability
YAMABA Hisaaki
Proceedings of Annual Conference of Japanese Society for Engineering Education 2023.9.6 Japanese Society for Engineering Education
Event date： 2023.9.6 - 2023.9.8
Language：Japanese Presentation type：Oral presentation (general)
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ウィンドウサイズ調整型監視によるリアルタ イム性DDoS攻撃検知手法の検討
溝口 李佳, 臼崎 翔太郎, 油田 健太郎, 山場 久昭, 岡崎 直宣
火の国情報シンポジウム2022 (宮崎大学) 2022.3.1 情報処理学会九州支部
Event date： 2022.3.1 - 2022.3.2
Language：Japanese Presentation type：Oral presentation (general)
Venue：宮崎大学
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色の恒常性を利用したCAPTCHAの機械攻撃 耐性の評価と分析
永井 麻裕, 臼崎 翔太郎, 油田 健太郎, 山場 久昭, 椋木 雅之, 岡崎 直宣
火の国情報シンポジウム2022 (宮崎大学) 2022.3.1 情報処理学会九州支部
Event date： 2022.3.1 - 2022.3.2
Language：Japanese Presentation type：Oral presentation (general)
Venue：宮崎大学
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複数ウィンドウサイズの効率的監視によるバースト形態に依らない DDoS 攻撃検出手法の検討
臼崎 翔太郎, 油田 健太郎, 山場 久昭, 朴 美娘, 岡崎 直宣
DICOMO2019シンポジウム 情報処理学会
Event date： 2019.7
Language：Japanese Presentation type：Oral presentation (general)
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被疑クライアントの HTTP リクエスト送信挙動に基づいたボット判定手法
藤 竜成，山場 久昭，油田 健太郎，岡崎 直宣
情報処理学会ITS研究会第75回研究発表会 (宮崎市高千穂ホール) 情報処理学会ITS研究会
Event date： 2018.11
Language：Japanese Presentation type：Oral presentation (general)
Venue：宮崎市高千穂ホール
Awards 【 display / non-display 】
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ICGEC-2024 Best Paper Award
2024.8 ICGEC Committee An Attempt to Solve Fill in the Missing Letters CAPTCHA Using Generative AI
Hisaaki Yamaba, Shotaro Usuzaki, Kentaro Aburada, Masayuki Mukunoki, Mirang Park and Naonobu Okazaki
Award type：International academic award (Japan or overseas)
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NBiS 2017 Best Paper Award
2017.8 NBiS Committee Highly Responsive Distributed Denial-of-Service Attacks Detection by Using Real-Time Burst Detection Method
Shotaro Usuzaki, Yuki Arikawa, Hisaaki Yamaba, Kentaro Aburada, Shin-Ichiro Kubota, Mirang Park, Naonobu Okazaki
Award type：Award from international society, conference, symposium, etc. Country：Canada
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化学工学会SIS部会技術賞
2015.4 化学工学会
高塚佳代子, 高橋弘季, 山場 久昭, 久保田真一郎, 岡崎 直宣
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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DICOMO2014優秀論文賞
2014.8 情報処理学会
横山 絵美里, 宗 裕文, 山場 久昭, 久保田 真一郎, 朴 美娘, 岡崎 直宣
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
Grant-in-Aid for Scientific Research 【 display / non-display 】
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深層学習を用いた筋電位による多要素個人認証の複数点測定による高精度化
Grant number：24K14948 2024.04 - 2027.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
Authorship：Principal investigator
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AIによって高度化されたサイバー攻撃に対抗する次世代クラウドセキュリティ基盤の構築
Grant number：24K14917 2024.04 - 2027.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
Authorship：Coinvestigator(s)
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あなたのスマホに信用してもらうための三つの方法
Grant number：23HT0193 2023.04 - 2024.03
独立行政法人日本学術振興会 科学研究費補助金 ひらめきときめきサイエンス
Authorship：Principal investigator
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DXの急展開に対応する超強靭なパスワード・リスト攻撃防止基盤の確立
Grant number：22K12013 2022.04 - 2025.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
Authorship：Coinvestigator(s)
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クラウドサービスに対する大規模な分散型攻撃の検知とその規模の縮小化に関する研究
Grant number：21K11849 2021.04 - 2024.03
独立行政法人日本学術振興会 科学研究費補助金 基盤研究(C)
Authorship：Coinvestigator(s)