Papers - ABURADA Kentaro
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Kimura Yuya, Takahashi Nobuya, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 11 ( 3 ) 220 - 225 2026.3
Language：English Publishing type：Research paper (scientific journal) Publisher：The Society of Artificial Life and Robotics
An effective approach to manage the content entered in forms is the use of electronic forms. However, if you use a paper form, it takes time to generate electronic forms. This paper has implemented a tool for automatic entry fields detection and for labels allocation to reduce the time required to place entry fields. As a result, we have verified that the implemented tool is useful to reduce the time to place entry fields.
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MIXVRT: MIX Visual Regression Testing Tool Which Mixes Image Comparison and HTML Code Comparison Reviewed
Aridome Naoki, Takahashi Nobuya, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 11 ( 3 ) 214 - 219 2026.3
Language：English Publishing type：Research paper (scientific journal) Publisher：The Society of Artificial Life and Robotics
An effective approach to manage the content entered in forms is the use of electronic forms. However, if you use a paper form, it takes time to generate electronic forms. This paper has implemented a tool for automatic entry fields detection and for labels allocation to reduce the time required to place entry fields. As a result, we have verified that the implemented tool is useful to reduce the time to place entry fields.
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画像中の反射成分の干渉下でも検出性能を維持できるプライバシーリスク検出手法 Reviewed
臼崎 翔太郎，油田 健太郎，山場 久昭，朴 美娘，岡崎 直宣
情報処理学会論文誌 67 ( 03 ) 588 - 604 2026.3
Language：Japanese Publishing type：Research paper (scientific journal)
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Takatsuka Kayoko, Usuzaki Shotaro, Yamaba Hisaaki, Aburata Kentaro, Okazaki Naonobu
KAGAKU KOGAKU RONBUNSHU 52 ( 1 ) 15 - 20 2026.1
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Society of Chemical Engineers, Japan
The spread of infectious diseases in the livestock industry results in severe economic losses and social disruption. This study focuses on the 2010 outbreak of foot-and-mouth disease (FMD) in Miyazaki Prefecture, Japan, and proposes a framework for quantitatively assessing farm-level susceptibility to infection through the construction of a Potential Infection Risk Index (λ). This index integrates multiple factors, including spatial proximity between farms, herd size, and livestock species. Statistical analysis reveals that λ values significantly differ between infected and uninfected farms, with the disparity widening as distance from the infection source decreases. These findings indicate that the spread of infection is strongly influenced by both geographic proximity and structural characteristics of farms. Furthermore, λ enables objective and quantitative identification of high-risk farms, supporting practical responses such as the prioritized allocation of limited disease control resources and the flexible application of hygiene management standards. A case study simulating farm relocation demonstrates that λ-based site selection effectively reduces infection risk, thereby validating the index as a practical and economically rational decision-support indicator. This approach also suggests the potential application of λ in long-term farm siting and structural planning. Additionally, the study envisions a comprehensive disease control support system centered on λ and its adjusted form (λ′), incorporating features such as risk visualization, hygiene-related corrections, tailored alerts and recommendations, and integration with administrative decision-making processes. Future work will focus on the development and implementation of such decision-support tools, with the ultimate goal of enhancing disease control efforts and contributing to the sustainable development of the livestock industry.
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Malware Classification Using Transformer-Based Modeling of API Call Sequences Reviewed
Ryoga Sakai, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Nobuya Takahashi, Mirang Park, Naonobu Okazaki
Proc. 31th Int'l Sympo. on Artificial Life and Robotics 2026 (AROB 31th 2026) 2026.1
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
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Investigation of an Authentication Method Using Vibration-Based Secret Cues and a Virtual Dial Interface Reviewed
Takumi Kido, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Nobuya Takahashi, Mirang Park, Naonobu Okazaki
Proc. 31th Int'l Sympo. on Artificial Life and Robotics 2026 (AROB 31th 2026) 2026.1
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
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Takahashi Nobuya, Kamada Taiki, Usuzaki Shotaro, Aburada Kentaro, Yamaba Hisaaki, Park Mirang, Okazaki Naonobu
IEICE Communications Express 14 ( 12 ) 441 - 444 2025.12
Language：English Publishing type：Research paper (scientific journal) Publisher：一般社団法人 電子情報通信学会
In this study, we propose a text-based CAPTCHA that utilizes human visual completion to prevent automated programs from getting through, without affecting human cognition. This CAPTCHA requires users to enter the reading of the kanji strings, whose centers are hidden behind a black bar. This method makes it challenging for machines to recognize the characters, while still allowing humans to identify the original text through their visual completion ability. We evaluate both the usability and security of the proposed CAPTCHA. To assess usability, we observed how humans respond to the CAPTCHA challenge. For the security evaluation, we tested the machine’s ability to read the kanji using a Convolutional Neural Network (CNN). The results showed that the proposed CAPTCHA achieves a success rate comparable to traditional CAPTCHAs, with a slightly shorter response time than a similar type of CAPTCHA. Furthermore, security experiments have shown that it exhibits a certain degree of resistance against simple convolutional neural networks.
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Conjugate Gradient Based Multiplicative Update Rules for Nonnegative Matrix Factorization Reviewed
Takahashi N., Usuzaki S., Katayama T., Yokomichi M., Aburada K., Okazaki N.
Proceedings 9th International Conference on Information Technology Incit 2025 639 - 644 2025.11
Publishing type：Research paper (scientific journal) Publisher：Proceedings 9th International Conference on Information Technology Incit 2025
In this paper, we propose a general solution for nonnegative matrix factorization (NMF), a technique widely used in the field of machine learning. NMF is a type of matrix factorization used for dimensionality reduction. By approximating a nonnegative matrix as the product of two nonnegative matrices, it is possible to extract frequent patterns in the data matrix into the basis matrix together with their corresponding weights. Since many types of information, such as images, spectrograms of acoustic signals, and text data, are represented by nonnegative values, NMF is a useful algorithm applicable across a wide range of fields. Standard approaches to solving NMF include algorithms based on multiplicative update rules. However, because the applicable algorithm depends on the problem structure, extending NMF to new problem settings can be challenging. Another approach is the gradient method, which is an additive iterative procedure for solving a nonlinear optimization problem. The update direction of the state is given by the gradient of the objective function. The gradient method is versatile. It can be applied to any optimization problem with an available gradient, regardless of the problem structure. However, when applying it to the NMF problem, it is necessary to maintain the nonnegativity of the matrices throughout the iterative computation. As a result, several issues must be addressed, including vanishing gradients, proper tuning of the learning rate, and the need for gradient clipping. In this paper, we propose a new algorithm based on a multiplicative update rule incorporating the gradient. A multiplier function consisting of the hyperbolic tangent function and the linear functions is used. This function ensures that the pair of factor matrices remain nonnegative throughout the entire computation process. As with general gradient methods, the proposed algorithm has the advantage of being widely applicable to NMF problems formulated in a differentiable form. Furthermore, the convergence speed is improved by utilizing the nonlinear conjugate gradient method. Numerical experiments show that the decomposed matrices have a property specified by the penalty terms and confirming the effectiveness of the proposed method.
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Usuzaki S., Iwasa K., Takahashi N., Aburada K., Yamaba H., Park M., Okazaki N.
Proceedings 9th International Conference on Information Technology Incit 2025 545 - 552 2025.11
Publishing type：Research paper (scientific journal) Publisher：Proceedings 9th International Conference on Information Technology Incit 2025
In this paper, we discuss a sketch-reconstructionbased In-band Network Telemetry (INT) method that can achieve practical flow count estimation accuracy during sketch collection. Measuring and aggregating per-flow information of network traffic helps to monitor the current network-wide status. Sketch-reconstruction-based INT methods were proposed to efficiently collect flow information measured by each device, which combine sketch techniques and INT. Sketch is a probabilistic algorithm that can estimate the count of entire flows with limited memory, and INT can carry measured data on the network device piggybacked in the business packet header. The combination of sketch and INT can reduce bandwidth consumption for collecting per-flow information, as the sketch can be regarded as a compact aggregation of the per-flow data. To minimize overhead, these methods split a sketch into smaller units called sketchlets and transmit them. The sent sketchlets are reconstructed into a sketch at the collection destination. However, existing methods have the disadvantage that they require a long time to collect sketchlets because they randomly select them, and the accuracy is low during the collection. In this study, we propose a new sketchlet algorithm, called HitFlow Sketchlet, that prioritizes sending buckets necessary for the sketch's query algorithm to function, which each method does not fully consider. We also propose the Flag data structure, aiming at the comprehensive sketchlet transmission. Evaluation experiments showed that HitFlow Sketchlet can output accurate estimates, especially in the earliest epochs, and that by combining it with Flag, comprehensiveness can be improved.
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Slow HTTP POST DDoS Attack Prevention Method that Monitors Payload Size and Number of Connections Reviewed
Yuya Ozaki, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Mirang Park, Naonobu Okazaki
Proc. The 28-th International Conference on Network-Based Information Systems (NBiS-2025) 22 - 31 2025.9
Authorship：Corresponding author Publishing type：Research paper (international conference proceedings)
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視線入力を用いた画像選択と視線軌跡の特徴量による個人認証システムの評価
岩田一，常照林，臼崎翔太郎，油田健太郎，岡崎直宣，朴美娘
第110回コンピュータセキュリティ・第60回セキュリティ心理学とトラスト合同研究発表会 2025.7
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Yamaba H., Komori N., Usuzaki S., Aburada K., Katayama T., Okazaki N.
Icce Taiwan 2025 12th IEEE International Conference on Consumer Electronics Taiwan Generative AI in Innovative Consumer Technology Proceedings 111 - 112 2025.7
Publishing type：Research paper (scientific journal) Publisher：Icce Taiwan 2025 12th IEEE International Conference on Consumer Electronics Taiwan Generative AI in Innovative Consumer Technology Proceedings
Mobile devices such as smartphones and tablets are now deeply integrated into daily life. To prevent shoulder surfing attacks, we propose a user authentication method for mobile devices based on surface electromyogram (s-EMG) signals. The method uses a “pass-gesture,” a sequence of hand gestures that can be changed like a password. Fingerspelling was adopted as the source of gesture candidates. Previous studies confirmed high accuracy in identifying gestures performed by the same subject. This paper focuses on evaluating subject specificity-specifically, confirming that a model trained on one user fails to recognize gestures performed by another. Experimental results show that the system does not generalize across users, indicating robustness against impersonation.
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Extending BWDM to Support Various Types and Recursive Definitions in VDM++ Test Case Generation Reviewed
Takakura Shota, Katayama Tetsuro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu, Kita Yoshihiro
Journal of Advances in Artificial Life Robotics 4 ( 3 ) 167 - 171 2025.6
Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
Generating test cases from VDM++ formal specifications, which help to eliminate ambiguities, is
both time-consuming and labor-intensive. To solve this problem, our laboratory has developed
BWDM, a tool for automatic test case generation from VDM++ specifications. However, the
original BWDM only supports integer types and cannot handle test cases for operations and
functions with recursive structures. To enhance BWDM's usefulness, this paper introduces
extensions to address these limitations. The results confirm that the extended BWDM can reduce
test case generation time compared to manual methods. -
視覚の補完機能を利用した文字型CAPTCHAの提案
臼崎翔太郎，鎌田大貴，油田健太郎，山場久昭，片山徹郎，朴美娘，岡崎直宣
第43回CDS研究発表会 2025.5
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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視覚の補完機能を利用した文字型CAPTCHAの一検討
西秀峻, 鎌田大貴, 臼崎翔太郎, 油田健太郎, 山場久昭, 朴美娘, 岡崎直宣
火の国情報シンポジウム2025 1 - 6 2025.3
Authorship：Corresponding author Publishing type：Research paper (conference, symposium, etc.)
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IoTマルウェア検知精度向上のためのパラメータに応じたOne-Class SVMの性能調査
川越彪雅, 高崎球宇我, 臼崎翔太郎, 油田健太郎, 山場久昭, 朴美娘, 岡崎直宣
火の国情報シンポジウム2025 1 - 7 2025.3
Authorship：Corresponding author Publishing type：Research paper (conference, symposium, etc.)
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反射成分が含まれる画像におけるプライバシーリスク検出手法の検討
臼﨑翔太郎，油田健太郎，山場久昭，岡崎直宣
情報処理学会 第87回全国大会 1 - 8 2025.3
Publishing type：Research paper (conference, symposium, etc.)
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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
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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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
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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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. 30th Int'l Sympo. on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025.1
Language：English Publishing type：Research paper (international conference proceedings)