Papers - YAMABA Hisaaki
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An Attempt at Data Augmentation for Realizing User Authentication Using s-EMG Signals
Soichiro Ishibashi, Yuya Yamamoto, Hisaaki Yamaba, Kentaro Aburada, Tetsuro Katayama, Naonobu Okazaki
Proc. of the 27th International Symposium on Artificial Life and Robotics 2022.1
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
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Muto T., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 183 - 187 2022
Language：Japanese Publishing type：Research paper (scientific journal) 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.
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Proposal and Evaluation of the Interactive Video CAPTCHA for Resistant to both Relay Attack and Automated Attack Reviewed
Kentaro Aburada, Shotaro Usuzaki, Hisaaki Yamaba, Tetsuro Katayama, Masayuki Mukunoki, Mirang Park, Naonobu Okazaki
62 ( 12 ) 1864 - 1878 2021.12
Language：Japanese Publishing type：Research paper (scientific journal)
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Development of a system to detect eye position abnormality based on eye-tracking Reviewed
Uchida, Noriyukia, Takatuka, Kayoko, Yamaba, Hisaaki, Mukunoki, Masayukib, Okazaki, Naonobub
Journal of Robotics, Networking and Artificial Life 8 ( 3 ) 205 - 210 2021.12
Language：English Publishing type：Research paper (scientific journal) Publisher：Journal of Robotics, Networking and Artificial Life
Test suite reusability measurement is important to obtain the value of reusability as the degree of effectiveness of reused test suite. The measurement in this experiment considers not only the frequency of the successful test suite to examine different objects but also the code coverage as the criteria of a good test suite. The combination of the frequency and code coverage in the measurement reports the current condition of test suite reusability. The research confirms the test suite reusability measurement provides useful information to know the degree of effectiveness of reused test suite, especially in regression testing and automated testing.
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Proposal for a crop protection information system for rural farmers in Tanzania Reviewed
Tende I.G., Aburada K., Yamaba H., Katayama T., Okazaki N.
Agronomy 11 ( 12 ) 2021.12
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Agronomy
Crop protection information, such as how to control emergent and outbreak crop diseases and pests, as well as the latest research, regulations, and quality control measures for pesticides and fertilizers, is important to farmers. Rural smallholder farmers in Tanzania have traditionally relied on government agricultural officers who visit them in their villages to provide this crop protection information. However, these officers are few and cannot reach all the farmers on time. This means that farmers fail to make critical farming decisions on time, which can lead to low crop productivity. In this study, we aim to provide farmers with reliable and instant crop protection information by developing a system based on the Short Message Service (SMS) and the Web. This system automatically replies to farmers’ requests for the latest crop protection information in the Swahili language through SMS on a mobile phone or a Web system. The findings reveal that our proposed system can provide farmers with crop protection information at lower cost (500 times cheaper) than the existing Tigo Kilimo system. Furthermore, our proposed system’s deep learning model is effective in understanding and processing Swahili natural language SMS queries for crop protection information with an accuracy of 96.43%. This crop protection information will help farmers make better critical farming decisions on time and improve crop productivity.
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Performance Evaluation of Blockchain Based Agricultural Input Voucher System
Tende, Isakwisa Gaddy; Aburada, Kentaro; Yamaba, Hisaaki; Katayama, Tetsuro; Okazaki, Naonobu
10th IEEE Global Conference on Consumer Electronics, GCCE 2021 637 - 638 2021.10
Publishing type：Research paper (scientific journal)
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Study on an Evacuation Support System for Tsunami Disasters Using Low Power Wide Area Network
Karin Honda, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 199 - 211 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Improvements in a Dynamic CAPTCHA for Mobile Devices
Karin HONDA, Akane SHIIYA, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 187 - 191 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Development of Agricultural Work Record Management System Using Voice Input
Maria TAKEGUCHI, Kentaro ABURADA, Hisaaki YAMABA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 175 - 186 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Medical Data Management System Using Blockchain and Proxy Re-Encryption
Ryoma IKEDA, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 161 - 174 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Data Expansion Using GAN to Improve Malware Classification by CNN
Kaisei KAWABATA, Kentaro ABURADA, Hisaaki YAMABA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 155 - 159 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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On a Creation of a Barrier-free Map Using Accelerometers on Smartphones
Maria TAKEGUCHI, Daisuke HOSHIZAKI, Kentaro ABURADA, Hisaaki YAMABA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 149 - 153 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Infectious Disease Spreading Risk —Usage of Infection Data of Covid-19—
Kentaro KOIDA, Yuya KOZAKAI, Kayoko TAKATSUKA, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 143 - 147 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Study on Quantification of Quality Characteristics of Project Schedules
Ryoma IKEDA, Kazuki IMAMURA, Kayoko TAKATSUKA, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 137 - 141 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Parameter Optimization of OCSVM by GridSearchCV for Improving IoT Malware Detection Accuracy
Hiroki MURANAKA, Shuto GOTO, Kentaro ABURADA, Hisaaki YAMABA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 125 - 129 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Data Expansion Using Adversarial Examples to Improve the Accuracy of Intrusion Detection Systems
Kaisei KAWABATA, Kazuki KANEMARU, Kentaro ABURADA, Hisaaki YAMABA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 131 - 135 2021.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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A Proposal of CAPTCHA Using the Combination of Latin and Jawi Script
Hisaaki YAMABA, Ahmad Saiful Aqmal Bin Ahmad Sohaimi, Kentaro ABURADA, Naonobu OKAZAKI
宮崎大学工学部紀要 ( 50 ) 119 - 123 2021.9
Authorship：Lead author Language：English Publishing type：Research paper (bulletin of university, research institution)
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On an Attempt at Application of Deep Learning to a User Authentication Method Using s-EMG
Hisaaki YAMABA, Kenya SHIRAISHI, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 50 ) 193 - 197 2021.9
Authorship：Lead author Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Proposal of Jawi CAPTCHA Using Digraphia Feature of the Malay Language Reviewed
Yamaba, Hisaaki, Sohaimi, Ahmad Saiful Aqmal Bin Ahmad, Usuzaki, Shotaro, Aburada, Kentaro, Mukunoki, Masayukia, Park, Mirangb, Okazaki, Naonobua
16th International Workshop on Security, IWSEC 2021 119 - 133 2021.9
Authorship：Lead author, Corresponding author Language：English Publishing type：Research paper (international conference proceedings)
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Proposal and evaluation for color constancy CAPTCHA Reviewed
Usuzaki S., Aburada K., Yamaba H., Katayama T., Mukunoki M., Park M., Okazaki N.
Artificial Life and Robotics 26 ( 3 ) 291 - 296 2021.8
Language：English Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
CAPTCHAs are technologies that distinguish humans and bot to prevent illegal access. Unfortunately, current CAPTCHAs, even the latest Google reCAPTCHA, have already broken with high accuracy. Although the devices, including emphasizing the distortion of the text and adding noise to the image, improve the machine resistance, they may decrease the accessibility of the web page. The purpose of this study is to propose a new CAPTCHA that can decrease the machine resistance while keeping usability. To achieve this purpose, we focused on color constancy. Color constancy is a human’s characteristic that enables humans to recognize the original color of the object by ignoring the effects of illumination light. Color constancy has not been fully reproduced by the program yet. We proposed color constancy CAPTCHA that the user is required to answer an original color of the object in a specified area on the CAPTCHA image with a color filter. In this paper, we created a prototype of CAPTCHA, applied two kinds of color filters, and then evaluated each case for the human success rate, machine success rate, and usability.