Papers - KATAYAMA Tetsuro
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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 (scientific journal) 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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Kakinoki K., Katayama T.
Lecture Notes in Electrical Engineering 1322 LNEE 375 - 384 2025.2
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Electrical Engineering
To extract important information from the document images, document layout analysis research has been carried out. Previous research analyzes document layouts only for specific document formats. This paper proposes a document layout analysis method that adopts pre-processing based on document image classification to analyze document layouts for various document formats. From the application examples, we have confirmed that the proposed method can correctly analyze document layout by using training models trained for each document format. Furthermore, to evaluate the usefulness of the proposed method, we have compared the F score of the proposed method for document layout analysis using a single training model covering various document formats and using a training model generated for each document format. As a result, we have confirmed that our proposed method is useful in document layout analysis.
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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 (scientific journal) 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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Evacuation Support System for Tsunami Disasters that Considers Shelter Congestion Reviewed
Nishi H., Nabeyama K., Usuzaki S., Aburada K., Yamaba H., Katayama T., Park M., Okazaki N.
Lecture Notes in Electrical Engineering 1322 LNEE 51 - 62 2025.2
Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Electrical Engineering
When a tsunami occurs, an evacuation support system capable of providing information on evacuation routes and shelter locations would enable evacuations to be conducted more swiftly and safely. In previous research, a proposal was made for an evacuation support system using low-power, long-distance communication. However, a challenge arose when shelter locations reached full capacity, requiring information to be shared, which in turn necessitated redirection of evacuees to alternative shelters. Therefore, in this study, a method for sharing shelter congestion information at an earlier stage was developed. The method of sharing based on the remaining capacity of shelters increased evacuation completion by up to 29 evacuees in an evacuee population of 1000.
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画面遷移システムを対象としたVDM++仕様記述のための入力テンプレートと 変換ルールの提案 Reviewed
高倉翔太, 片山徹郎
ソフトウェアエンジニアリングシンポジウム2024論文集 182 - 189 2024.9
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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iOSアプリ開発支援を目的としたソフトウェア可視化ツールRAGESSの試作 Reviewed
翁長春樹, 片山徹郎
ソフトウェアエンジニアリングシンポジウム2024論文集 92 - 101 2024.9
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Onaga Haruki, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 10 ( 4 ) 336 - 341 2024.9
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：ALife Robotics Corporation Ltd.
It is difficult for mobile application developers to understand the structure of large and complex mobile applications. To support iOS application development, we proposed SwiftDiagram: a visualization of the static structure of Swift source code, and demonstrated its usefulness. To further support them, this paper has implemented RAGESS(Real-time Automatic Generation of SwiftDiagram System), which is a software visualization tool. RAGESS performs static analysis on Swift source code and automatically generates the corresponding SwiftDiagram whenever the target project build succeeds.
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ASLA: Automatic Segmentation and Labeling by Deep Learning for Document Pictures Reviewed
Kakinoki Kanta, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 10 ( 4 ) 362 - 367 2024.9
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：ALife Robotics Corporation Ltd.
In this paper, we propose ASLA, a segmentation and label generation system for document pictures. ASLA reduces the duration needed for separating document pictures into areas and label generation. By using the application example, we have verified that ASLA operates properly. We have evaluated the usefulness of ASLA in regard to time and accuracy. We have assessed the efficacy of the rule-based area correction method. As a result, we have verified that ASLA is useful.
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Usability improvement in color constancy CAPTCHA Reviewed
Usuzaki Shotaro, Yihan Wang, Aburada Kentaro, Yamaba Hisaaki, Takatsuka Kayoko, Katayama Tetsuro, Park Mirang, Okazaki Naonobu
IEICE Communications Express 13 ( 8 ) 331 - 334 2024.8
Language：English Publishing type：Research paper (scientific journal) Publisher：一般社団法人 電子情報通信学会
CAPTCHAs have traditionally been used to deter bots, but ensuring protection against machine learning attacks has become difficult. To tackle this problem, we proposed a CAPTCHA based on color constancy, a human cognitive ability that is difficult for machines to reproduce. Although this method achieved high attack resistance while maintaining usability compared to existing CAPTCHAs, the response time increased due to the color selection operation. To address this, we changed the task to a click-type format while keeping the original concept. Our experimental results show that our method matches the response times of existing CAPTCHAs without compromising attack resistance.
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A Genetic Algorithm-based Approach for Design-level Class Decomposition Reviewed
Priyambadha B., Takahashi N., Katayama T.
International Journal of Advanced Computer Science and Applications 15 ( 4 ) 461 - 468 2024.4
Authorship：Last author Language：English Publishing type：Research paper (scientific journal) Publisher：International Journal of Advanced Computer Science and Applications
Software is always changed to accommodate environmental changes to preserve its existence. While changes happen to the software, the internal structure tends to decline in quality. The refactoring process is worth running to preserve the internal structure of the software. The decomposition process is a suitable refactoring process for Blob smell in class. It tried to split up the class based on the context in order to arrange it based on each responsibility. The previous approach has been implemented but still leaves problems. The optimum arrangement of class cannot be achieved using the previous approach. The genetic algorithm provides the search mechanism to find the optimum state based on the criterion stated at the beginning of the process. This paper presents the use of genetic algorithms to solve the design-level class decomposition problem. The paper explained several points, including the conversion from class to the chromosome construct, the fitness function calculation, selection, crossover, and mutation. The results show that the use of a genetic algorithm was able to solve the previous problems. The genetic algorithm can solve the local optimum problem from the previous approach. The increment of the fitness function of the study case proves it.
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Proposal of ASLA Which Is a Segmentation and Labeling Tool for Document Images Based on Deep Learning Reviewed
K. Kakinoki, T. Katayama, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Proceedings of International Conference on Artificial Life and Robotics 262 - 266 2024.2
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
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Extension to Support Types and Operation/Function Definitions in BWDM to Generate Test Case Tool from the VDM++ Specification Reviewed
S. Takakura, T. Katayama, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Proceedings of International Conference on Artificial Life and Robotics 257 - 261 2024.2
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
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Prototype of RAGESS Which Is a Tool for Automatically Generating SwiftDiagram to Support iOS App Development Reviewed
H. Onaga, T. Katayama, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Proceedings of International Conference on Artificial Life and Robotics 252 - 256 2024.2
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
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An Improved Conversion Technique from EPNAT Models to VDM++ Specifications for Simulation of Abstract Software Behavior Reviewed
S. Matsumoto, R. Ishigami, T. Katayama, and T. Takagi
Proceedings of International Conference on Artificial Life and Robotics 248 - 251 2024.2
Language：English Publishing type：Research paper (international conference proceedings)
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Investigation of malware classification based on image representation Reviewed
IH. Kawagoe, S. Usuzaki, K. Aburada, H. Yamaba, T. Katayama, M. Park, and N. Okazaki
Proc. 29th Int'l Sympo. on Artificial Life and Robotics 2024 (AROB 29th 2024) 29 929 - 931 2024.1
Language：English Publishing type：Research paper (international conference proceedings)
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On an improvement of hand gesture recognition for realizing an s-EMG based user authentication using finger spelling Reviewed
H. Yamaba, N. Sawagashira, K. Aburada, T. Katayama, and N. Okazaki
Proc. 29th Int'l Sympo. on Artificial Life and Robotics 2024 (AROB 29th 2024) 29 933 - 938 2024.1
Language：English Publishing type：Research paper (international conference proceedings)
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Proposal of a DDoS Attack Detection Method Using the Communication Interval Reviewed
Iwasa K., Usuzaki S., Aburada K., Yamaba H., Katayama T., Park M., Okazaki N.
Lecture Notes in Electrical Engineering 1114 LNEE 165 - 174 2024.1
Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Electrical Engineering
As the scale of Distributed Denial of Service (DDoS) attacks has been escalating in recent years, the need for real-time detection of attacks has increased. Existing intrusion detection systems (IDSs) perform detection with a fixed window size (assumed to be in hours). In previous research, attack detection was performed by preparing windows of multiple sizes, selecting the appropriate window based on the state of the data, and using features learned in advance for that window size. Although this method yielded a high DDoS attack detection rate of 98.30%, it exhibited a considerable false-positive rate of 7.37%. The proposed method measures the communication intervals of identical packets within the window, identified as attack-related in the previous survey, and classifies those packets with an average communication interval below a set threshold as attacks. The experiment resulted in a 50.2% decrease in the false-positive rate.
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Study of an Image-Based CAPTCHA that is Resistant to Attacks Using Image Recognition Systems Reviewed
Nishikawa S., Usuzaki S., Aburada K., Yamaba H., Katayama T., Park M., Okazaki N.
Lecture Notes in Electrical Engineering 1114 LNEE 175 - 184 2024.1
Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Electrical Engineering
In today’s digital age, image-based CAPTCHAs are increasingly vulnerable to attacks using annotation services, which tag images and classify images according to their contents, or reverse image search services. To prevent such attacks, an image-based CAPTCHA was proposed that takes advantage of the fact that humans can correctly recognize images containing many discontinuous points, while existing image recognition systems misrecognize them. However, this CAPTCHA proved susceptible to attacks using noise reduction filters. The objective of the present study is to create a CAPTCHA using images that are resistant to such filters. Images used in the new CAPTCHA were realized by increasing the proportion of lines forming discontinuous surfaces in images. Experimental results demonstrated a human recognition rate of 95.8%, with the image recognition systems successfully identifying only one image overall. Moreover, when a noise reduction filter was applied, the recognition rate was lower than those reported in previous studies.
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Proposal of a Framework for Continuous Support of the Implementation Step in TDD Reviewed
Miyashita Takeaki, Katayama Tetsuro
Memoirs of Faculty of Engineering, University of Miyazaki 52 81 - 86 2023.10
Language：Japanese Publishing type：Research paper (scientific journal)
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Development of keypads which use colors or shapes to prevent shoulder surfing Reviewed
Masuzawa R., Aburada K., Yamaba H., Katayama T., Okazaki N.
Artificial Life and Robotics 28 ( 4 ) 710 - 717 2023.8
Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
In conventional smart phones and ATMs, a four-digit passcode is entered into a keypad, and the user confirms whether the passcode matches the keypad. However, there is a risk that a third party can easily steal the password by watching the code entry or analyzing the position of fingerprints left on the keypad. There are other solutions, such as biometric authentication or the use of special displays, but both of them are costly and difficult to implement. In this study, we propose a keypad that does not leave fingerprints on the screen, is low cost, and can be used to input passcodes without worry, even if someone is standing next to it. The proposed keypad uses cursors that are moved by directional keys to select numbers, making fingerprint analysis difficult. Because attackers do not know the color that the user has selected, they cannot know which cursor the user is moving. To verify the safety and convenience of this system, we conducted experiments on subjects in their 20 s and 50 s. The results showed that the average difference in authentication time from the conventional method was about 5 s, and the method was generally convenient. We conclude that our keypad system is secure, because no peeping attacks on a subject were successful in guessing the subject’s passcode.