Papers - ABURADA Kentaro
-
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
Authorship：Corresponding author 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.
-
画像と視線入力装置を用いたユーザ認証方式の提案 Reviewed
金井 秀真, 安浪 巧, 油田 健太郎, 岡崎 直宣, 朴 美娘
情報処理 学会マルチメディア，分散，協調とモバイルシンポジウム（DICOMO2023）論文集 538 - 543 2023.7
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
-
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
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.
-
Development and Evaluation of a Deep Learning Based System to Predict District-Level Maize Yields in Tanzania Reviewed
Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
Agriculture (MDPI) 13 ( 3 ) 2023.3
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal)
-
Saputra M.C., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 352 - 356 2023.1
Language：Japanese 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.
-
On an improvement of hand gesture recognition for realizing a user authentication system using s-EMG Reviewed
Soichiro Ishibashi, Hisaaki Yamaba, Kentaro Aburada, Tetsuro Katayama, Naonobu Okazaki
Proc. 28th Int'l Sympo. on Artificial Life and Robotics 2023 (AROB 28th 2023) 968 - 972 2023.1
Language：English Publishing type：Research paper (international conference proceedings)
-
A study of improving the safety of defense system based on whitelist Reviewed
Tsubasa Waki, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
Proc. 28th Int'l Sympo. on Artificial Life and Robotics 2023 (AROB 28th 2023) 963 - 967 2023.1
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
-
Investigation of PIN authentication schemes resistant to video-based recording attacks Reviewed
Ryo Masuzawa, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 28th Int'l Sympo. on Artificial Life and Robotics 2023 (AROB 28th 2023) 959 - 962 2023.1
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
-
Investigation of evacuation simulation from Tsunami considering road width in Aosima Reviewed
Keita Nabeyama, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
Proc. 28th Int'l Sympo. on Artificial Life and Robotics 2023 (AROB 28th 2023) 953 - 958 2023.1
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
-
Miyashita T., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 347 - 351 2023.1
Language：Japanese 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.
-
Expansion of Application Scope and Addition of a Function for Operations into BWDM which is an Automatic Test Cases Generation Tool for VDM++ Specification Reviewed
Muto Takafumi, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 9 ( 3 ) 255 - 262 2022.10
Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
The use of the formal specification description language VDM++ in software design can eliminate ambiguity in the specification. However, software testing after implementation is necessary even if the design uses VDM++, but manually generating test cases is labor-intensive and time-consuming. Therefore, our laboratory developed BWDM, which is an automatic test case generation tool for VDM++ specifications. However, BWDM is not very useful because it has three problems about its narrow scope of application. This paper solves the three problems and improves the usefulness of BWDM by expanding the scope of application of VDM++ definitions and adding a function to generate test cases for object states. In addition, we conducted a comparison experiment with manual test case generation and confirmed that BWDM can reduce work time.
-
Proposal of Gamma Which Is a Messaging Platform for Spatial Data Reviewed
Ueda Takahiro, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 9 ( 2 ) 136 - 142 2022.10
Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
This paper proposes Gamma, which is a messaging platform for spatial data. Gamma uses distributed MQTT system for spatial data sharing, and this paper aims to improve the usefulness of distributed MQTT system. In the experiment, it has been found that Gamma can process more messages than a single MQTT broker. It is confirmed that Gamma achieves scalability by increasing the number of Gateways and distributed MQTT brokers. Furthermore, it is confirmed that the efficiency of the distributed MQTT system can be improved by setting the responsibility area of Gateways.
-
Proposal of a Method to Generate Classes and Instance Variable Definitions in VDM++ Specification by Using Machine Learning Reviewed
Suga Kensuke, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Advances in Artificial Life Robotics 2 ( 4 ) 189 - 194 2022.10
Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
Writing VDM++ specifications is difficult. The existing method can automatically generate only type and constant definitions in VDM++ specification from natural language specification by using machine learning. This paper proposes a method to generate classes and instance variable definitions in VDM++ specification from natural language specification to improve the usefulness of the existing method. From the evaluation experiment by using F- values, it has been confirmed that the proposed method can improve the usefulness of the existing method.
-
Detection of Blob and Feature Envy Smells in a Class Diagram using Class's Features Reviewed
Priyambadha Bayu, Katayama Tetsuro, Kita Yoshihiro, Yamaba Hisaaki, Aburada Kentaro, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 9 ( 1 ) 43 - 48 2022.8
Language：English Publishing type：Research paper (scientific journal) Publisher：株式会社 ALife Robotics
Measuring the quality of software design artifacts is difficult due to the limitation of information in the design phase. The class diagram is one of the design artifacts produced during the design phase. The syntactic and semantic information in the class is essential to consider in the measurement process. Smell detection uses class-related information to detect the smell as an indicator of a lack of quality. Several classifiers use all information related to the class to prove how informative it for the smell detection process. The smell types that are a concern in this research are Blob and Feature Envy. The experiment using three classifiers (j48, Multi-Layer Perceptron, and Naïve Bayes) confirms that Blob smell detection utilizes the information successfully. On the other hand, Feature Envy still needs more elaboration. The average true positive rate by the classifiers is about 80.67%.
-
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, 臼﨑 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 1 - 8 2022.3
Authorship：Corresponding author Publishing type：Research paper (conference, symposium, etc.)
-
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, 臼﨑 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 1 - 8 2022.3
Authorship：Corresponding author Publishing type：Research paper (conference, symposium, etc.)
-
An Attempt at Data Augmentation for Realizing User Authentication Using s-EMG Signals Reviewed
Soichiro Ishibashi, Yuya Yamamoto, Hisaaki Yamaba, Kentaro Aburada, Tetsuro Katayama, Naonobu Okazaki
Proc. 27th Int'l Sympo. on Artificial Life and Robotics 2022 (AROB 27th 2022) 1043 - 1046 2022.1
Language：English Publishing type：Research paper (international conference proceedings)
-
Proposal for a blockchain based agricultural input voucher system Reviewed
Tende, I. G., Aburada, K., Yamaba, H., Katayama, T., Okazaki, N.
Artificial Life and Robotics 2022.1
Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)
-
Muto T., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics (ICAROB 2022) 183 - 187 2022.1
Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：Proceedings of International Conference on Artificial Life and Robotics
Generating test cases from the VDM++ specification to eliminate ambiguity in the specification is labor-intensive and time-consuming. Therefore, our laboratory developed BWDM, which is an automatic test case generation tool for VDM++ specifications. However, BWDM is not very useful because it has three problems about its narrow scope of application. This paper extends BWDM to solve three problems. In addition, we conducted a comparison experiment with manual test case generation and confirmed a time saving of about 17 minutes.
-
Suga K., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics (ICAROB 2022) 178 - 182 2022.1
Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：Proceedings of International Conference on Artificial Life and Robotics
Writing VDM++ specifications is difficult. The existing method can automatically generate type and constant definitions in VDM++ specification from natural language specification using machine learning. This paper proposes a method to generate classes and instance variable definitions in the VDM++ specification from natural language specification to improve the usefulness of the existing method. From the evaluation experiment by using F-values, it has been confirmed that the proposed method can improve the usefulness of the existing method.