Papers - KATAYAMA Tetsuro
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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.
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テスト駆動開発における継続的な支援を目的としたフレームワークCATddの試作 Reviewed
宮下 丈明, 片山 徹郎
ソフトウェアエンジニアリングシンポジウム2023論文集 144 - 153 2023.8
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Tsunami evacuation simulation considering road width in Aoshima district Reviewed
Nabeyama K., Usuzaki S., Aburada K., Yamaba H., Katayama T., Okazaki N.
Artificial Life and Robotics 28 ( 4 ) 779 - 788 2023.7
Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
Japan is one of the countries in the world where natural disasters occur most frequently. Typhoons, earthquakes, tsunamis, volcanic eruptions, and many other natural disasters occur in Japan every year, and the risks are immeasurable. Japan is especially prone to earthquakes because of its location on the North American Plate, Eurasian Plate, Pacific Plate, and Philippine Sea Plate. Preparation for a Nankai Trough earthquake is one of the most important issues. A Nankai trough earthquake is predicted to occur with a probability of 70–80% within 30 years. Accordingly, a tsunami of more than 10 ms is expected to hit a wide area along the Pacific coast from the Kanto region to the Kyushu region, and the impact is expected to be significant. When a tsunami warning is issued, an evacuation support system that provides information on evacuation sites and routes enables faster and safer evacuation actions. In a previous study conducted in our laboratory, we proposed an evacuation support system using Low-Power Wide-Area communications and conducted a simulation to find ways to improve the evacuation support system. However, the simulation was insufficient in that it did not consider delays in evacuation completion time due to road congestion caused by limited road width, which can be expected in an actual disaster. In our current research, as an improvement to make the simulation more realistic for further developing our evacuation support system, we propose a simulation that considers road width. We examined how adoption of this simulation methodology would affect the simulation results by comparing simulations that did and did not consider road width. As a result, the proposed method showed a lower percentage of completed evacuations than the previous simulation, especially for children and the elderly. The reason for this result is that when evacuations begin simultaneously, crowding occurs as people all rush to evacuation centers. This congestion on the roads near evacuation centers prevents people from completing their evacuations. Such a phenomenon is expected to occur not only in simulations but also on actual roads. For this reason, our proposed simulation method that considers road width is a more realistic simulation. Since evacuations by car in the event of a disaster also occur, a future issue is to simulate car congestion as well. Furthermore, simulating what would happen if a disaster made a road impassable is also important.
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Prototype of the Framework CATdd to Support Continuous Development in Test Driven Development Reviewed
Miyashita Takeaki, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Advances in Artificial Life Robotics 4 ( 1 ) 35 - 40 2023.6
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
TDD is a development methodology to improve software quality. In this study, we prototype the framework CATdd (Continuous Automated Test Driven Development), which supports continuous development with TDD. CATdd reduces the time of implementation step in TDD by generating new source code that passes tests using LLM. CATdd maintains consistency with other source code in the project by using existing source code and related source code to prompt. As a result of the evaluation experiments, the time for the implementation step in TDD was reduced by 94% for a simple task and by 56% for another more complex task. In conclusion, CATdd is useful to support continuous development.
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Analysis of Self Determination Factors for Continuance Intention on Online Learning Management System Reviewed
Saputra Mochamad Chandra, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu, Wicaksono Satrio Agung
Journal of Robotics, Networking and Artificial Life 10 ( 1 ) 91 - 95 2023.6
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
The COVID-19 pandemic outbreak transformed the paradigm of the educational process. Many educational institutions, including the University, mainly the Faculty of Computer Science, Brawijaya University, have experienced success with learning through the Internet. The continuance intention factor for using an online learning management system is important to ensure learning sustainability. This study investigates continuance intention factor by using self determination model as a research model. The objective of this study is to find the factor 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.
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The Impact of Design-level Class Decomposition on the Software Maintainability Reviewed
Priyambadha B., Katayama T.
International Journal of Advanced Computer Science and Applications 14 ( 4 ) 405 - 413 2023.4
Authorship：Corresponding author Publishing type：Research paper (scientific journal) Publisher：International Journal of Advanced Computer Science and Applications
The quality of the software's internal structure tends to decay due to the adaptation to environmental changes. Therefore, it is beneficial to maintain the internal structure of the software to benefit future phases of the software life cycle. A common correlation exists between decaying internal structures and problems like software smell and maintenance costs. Refactoring is a process to maintain the internal structure of software artifacts based on the smell. Decomposition of classes is one of the most common refactoring actions based on Blob smell performed at the source code level. Moving the class decomposition process to the design artifact seems to affect the quality and maintainability of the source code positively. Therefore, studying the impact of design-level class decomposition on source code quality and software maintainability is essential to ascertain the benefits of implementing design-level class decomposition. The metrics-based evaluation shows that the design-level class decomposition positively impacts the source code quality and maintainability with the rank biserial value is 0.69.
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Tende I.G., Aburada K., Yamaba H., Katayama T., Okazaki N.
Agriculture (Switzerland) 13 ( 3 ) 2023.3
Language：Japanese 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.
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VDM++仕様を対象としたテストケース自動生成ツールBWDMの適用範囲拡大による実用性の向上 Reviewed
武藤 崇史, 片山 徹郎
ソフトウェアテストシンポジウム2023東京(JaSST'23 Tokyo)論文集 29 - 36 2023.3
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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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
Language：English Publishing type：Research paper (scientific journal) 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.
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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
Language：English Publishing type：Research paper (scientific journal) 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.
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Matsumoto S., Katayama T., Takagi T.
Proceedings of International Conference on Artificial Life and Robotics 339 - 342 2023.2
Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of International Conference on Artificial Life and Robotics
Extended Place/transition Net with Attributed Tokens (EPNAT) is one of formal modeling languages, and it enables system engineers to construct an executable and abstracted behavioral model of multiple software systems. In this paper, we propose an automated random simulation technique of an EPNAT model in order to detect failures in the model. In the simulation, input is randomly selected for model execution. When a constraint given for each system or multiple systems is violated through the model execution, a failure is revealed. The simulation is terminated by the detection of a failure or the satisfaction of a criterion focusing on the combination of marking, data writing and reading between different systems. A prototype tool of the simulation technique was developed and applied to a trial model to discuss its effectiveness. Two failures inserted into the trial model were successfully detected, and a few challenges were found in the experiment.