YAMABA Hisaaki

写真a

Affiliation

Engineering educational research section Information and Communication Technology Program

Title

Assistant Professor

External Link

Degree 【 display / non-display

  • Doctor (Engineering) ( 2011.3   University of Miyazaki )

  • Master(Engineering) ( 1990.3   Tokyo Institute of Technology )

Research Areas 【 display / non-display

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Chemical reaction and process system engineering

  • Informatics / Information security

 

Papers 【 display / non-display

  • Development and Evaluation of a Deep Learning Based System to Predict District-Level Maize Yields in Tanzania Reviewed

    Tende I.G., Aburada K., Yamaba H., Katayama T., Okazaki N.

    Agriculture (Switzerland)   13 ( 3 )   2023.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Agriculture (Switzerland)  

    Prediction of crop yields is very helpful in ensuring food security, planning harvest management (storage, transport, and labor), and performing market planning. However, in Tanzania, where a majority of the population depends on crop farming as a primary economic activity, the digital tools for predicting crop yields are not yet available, especially at the grass-roots level. In this study, we developed and evaluated Maize Yield Prediction System (MYPS) that uses a short message service (SMS) and the Web to allow rural farmers (via SMS on mobile phones) and government officials (via Web browsers) to predict district-level end-of-season maize yields in Tanzania. The system uses LSTM (Long Short-Term Memory) deep learning models to forecast district-level season-end maize yields from remote sensing data (NDVI on the Terra MODIS satellite) and climate data [maximum temperature, minimum temperature, soil moisture, and precipitation (rainfall)]. The key findings reveal that our unimodal and bimodal deep learning models are very effective in predicting crop yields, achieving mean absolute percentage error (MAPE) scores of 3.656% and 6.648%, respectively, on test (unseen) data. This system will help rural farmers and the government in Tanzania make critical decisions to prevent hunger and plan better harvesting and marketing of crops.

    DOI: 10.3390/agriculture13030627

    Scopus

  • Continuance Intention Factor of Online Learning Management System in Case on Faculty of Computer Science at Brawijaya University in Indonesia

    Saputra M.C., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.

    Proceedings of International Conference on Artificial Life and Robotics   352 - 356   2023.2

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Proceedings of International Conference on Artificial Life and Robotics  

    The outbreak of the COVID-19 pandemic changed the model of the learning process. Online learning became one of the best solutions for many educational institutions, including the University, especially the Faculty of Computer Science, Brawijaya University. The continuance intention factor for using an online learning management system is important to ensure learning sustainability. To understand students' continuance intention this study proposes self determination model as a research model to find the factors affecting students' continuance intention toward online learning management systems. The proposed model is useful for investigating continuance intention factors. The study finds that intrinsic regulation, external regulation, identified regulation, and introjected regulation significantly positive impact on continuance intention in learning management systems. Finally, this study provides suggestions for the Faculty to improve the continuance intention of the student in using an online learning management system.

    Scopus

  • Proposal of a Framework to Improve the Efficiency of the Implementation Step in Test Driven Development (TDD)

    Miyashita T., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.

    Proceedings of International Conference on Artificial Life and Robotics   347 - 351   2023.2

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Proceedings of International Conference on Artificial Life and Robotics  

    TDD is a development methodology that brings us closer to better implementation and testing by repeating a series of steps: test design, implementation that satisfies the tests, and refactoring. This paper proposes a framework aimed at supporting the implementation steps in TDD. The proposed framework generates source code that passes tests while retaining refactoring by the developer. The prototyped framework reduced the time required for the implementation process by 94.22% and the generation time by 66.17% compared to manual work.

    Scopus

  • On an improvement of hand gesture recognition for realizing a user authentication system using s-EMG

    Soichiro Ishibashi, Hisaaki Yamaba, Kentaro Aburada, Tetsuro Katayama, Naonobu Okazaki

    Proc. of the 28th International Symposium on Artificial Life and Robotics   968 - 972   2023.1

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • A study of improving the safety of defense system based on whitelist

    Tsubasa Waki, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, and Naonobu Okazaki

    Proc. of the 28th International Symposium on Artificial Life and Robotics   963 - 967   2023.1

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    Language:English   Publishing type:Research paper (international conference proceedings)  

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Books 【 display / non-display

  • 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 

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    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.

    DOI: 10.1007/978-3-030-39746-3_34

    Scopus

MISC 【 display / non-display

  • Correction to: Proposal and evaluation for color constancy CAPTCHA (Artificial Life and Robotics, (2021), 26, 3, (291-296), 10.1007/s10015-021-00679-x)

    Usuzaki S., Aburada K., Yamaba H., Katayama T., Mukunoki M., Park M., Okazaki N.

    Artificial Life and Robotics   27 ( 1 )   2022.2

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    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

    DOI: 10.1007/s10015-021-00715-w

    Scopus

Presentations 【 display / non-display

  • 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

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    Event date: 2022.3.1 - 2022.3.2

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:宮崎大学  

  • 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

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    Event date: 2022.3.1 - 2022.3.2

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:宮崎大学  

  • 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

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    Event date: 2019.7

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 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

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    Event date: 2018.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:宮崎市高千穂ホール  

  • 青島地区における避難者の歩行速度を考慮した災害時の避難行動に関するシミュレーション

    本田 佳鈴,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

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    Event date: 2018.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:宮崎市高千穂ホール  

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Awards 【 display / non-display

  • 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

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    Award type:Award from international society, conference, symposium, etc.  Country:Canada

  • 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

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

  • 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

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

Grant-in-Aid for Scientific Research 【 display / non-display

  • 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

    科学研究費補助金  基盤研究(C)

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    Authorship:Coinvestigator(s) 

  • 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)

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    Authorship:Coinvestigator(s) 

  • 深層学習に基づく筋電位個人認証を利用した多要素個人認証手法の開発

    Grant number:20K11812  2020.04 - 2023.03

    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)

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    Authorship:Principal investigator 

    普及著しいモバイル端末のセキュリティ確保の上で重要となる「安全なユーザ認証」を、バイオメトリクスの一つである筋電位を用いて実現することである。この認証手法は「人間が体を動かす時に生じる筋電位は、同じように筋肉を動かしていても、個人によって全く異なる波形 が計測される」ことを活用し、前腕部の動作(以下、ジェスチャと呼ぶ)の組み合わせをパスワード として用いることにより、多要素認証の実現を検討するものである。この研究では、(1) ユーザ認証に適したジェスチャの選定と、(2) 計測された筋電位の波形データから、正規ユーザか否かを深層学習により判定する手法の開発を行う。さらに、 (3) この手法を Android 端末上に実装し、その性能評価実験を行う。

  • クラウドサービスに対する経済的な損失を目的にしたEDoS攻撃の検知に関する研究

    Grant number:18K11268  2018.04 - 2023.04

    科学研究費補助金  基盤研究(C)

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    Authorship:Coinvestigator(s) 

  • 筋電位による個人認証 システムの実現への深 層学習の適用

    Grant number:17K00186  2017.04 - 2021.03

    科学研究費補助金  基盤研究(C)

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    Authorship:Principal investigator 

    普及著しいモバイル端末のセキュリティ確保の上で重要となる「安全なユーザ認 証」を、バイオメトリクスの一つである筋電位を用いて実現することである。この認証手法は「人間 が体を動かす時に生じる筋電位は、同じように筋肉を動かしていても、個人によって全く異なる波形 が計測される」ことを活用し、前腕部の動作(以下、ジェスチャと呼ぶ)の組み合わせをパスワード として用いるものである。この研究では、(1) ユーザ認証に適したジェスチャの選定と、(2) 計測され
    た筋電位の波形データから、正規ユーザか否かを深層学習により判定する手法の開発を行う。さらに、 (3) この手法を Android 端末上に実装し、その性能評価実験を行う。

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