Papers - YAMABA Hisaaki
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A Proposal of an IoT Bot Detection Method Using n-gram Analysis and One-Class SVM
Ryoma IKEDA, Masami MORI, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 263 - 267 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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An Analysis Method of Project Schedule Delay Risks
Shogo MIYAZAKI, Shogo TANABE, Kayoko TAKATUKA, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 257 - 261 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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A Study on Improving the Usability and Machine Resistance of Color Constancy CAPTCHA
Shotaro USUZAKI, Yuki SUNAMOTO, Naonobu OKAZAKI, Hisaaki YAMABA, Kentaro ABURADA
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 251 - 255 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Evaluation of a Set of Manual Alphabets Based Gestures for a User Authentication Method Using s-EMG
Hisaaki YAMABA, Yuki Nagatomo, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 233 - 237 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Proposal of Audio Based CAPTCHA with Mouse Using Environmental Sound
Karin HONDA, Ryusei IWAMURA, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 171 - 175 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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An Improved Method of "CloneSpot" for Detecting Repackaged Applications Using Metadata
Ryusei FUJI, Ken'ichiro GOMI, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 165 - 169 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Evaluation of CAPTCHA for Mobile Devices against Bots Using Hough Transform
Maria TAKEGUCHI, Takaharu YANAI, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 159 - 163 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Research on a Support System for Project Risk Management
Shogo MIYAZAKI, Kayoko TAKATUKA, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 49 ) 135 - 157 2020.9
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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On a user authentication method to realise an authentication system using s-EMG Reviewed
Yamaba H., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
International Journal of Grid and Utility Computing 11 ( 5 ) 725 - 734 2020.8
Language：English Publishing type：Research paper (scientific journal) Publisher：International Journal of Grid and Utility Computing
To prevent shoulder-surfing attacks, we proposed a user authentication method using surface electromyogram (s-EMG) signals, which can be used to identify who generated the signals and which gestures were made. Our method uses a technique called 'pass-gesture', which refers to a series of hand gestures, to achieve s-EMG-based authentication. However, it is necessary to introduce computer programs that can recognise gestures from the s-EMG signals. In this paper, we propose two methods that can be used to compare s-EMG signals and determine whether they were made by the same gesture. One uses support vector machines (SVMs), and the other uses dynamic time warping. We also introduced an appropriate method for selecting the validation data used to train SVMs using correlation coefficients and cross-correlation functions. A series of experiments was carried out to confirm the performance of those proposed methods, and the effectiveness of the two methods was confirmed.
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Proposal for Rotating 3D Text-based CAPTCHA Using Subjective Contour Reviewed
The IEICE Transaction on Communications J103-B ( 8 ) 332 - 343 2020.8
Language：Japanese Publishing type：Research paper (scientific journal)
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Evaluation of Yubimoji Based Gestures for Realizing User Authentication Method Using s-EMG Reviewed
Yamaba H., Nagatomo Y., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Advances in Intelligent Systems and Computing 1150 AISC 834 - 844 2020.3
Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：Advances in Intelligent Systems and Computing
© 2020, Springer Nature Switzerland AG. At the present time, since mobile devices such as tablet-type PCs and smart phones have penetrated deeply into our daily lives, an authentication method that prevents shoulder surfing attacks comes to be important. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are generated by the electrical activity of muscle fibers during contraction, can be detected over the skin surface, and muscle movement can be differentiated by analyzing the s-EMG signals. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In order to realize this method, we have to prepare a sufficient number of gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We introduced manual kana of the Japanese Sign Language syllabary and selected the candidate gestures based on them. Their performances were evaluated by constructing their identifier using support vector machines.
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Test Cases Redundant Elimination on Code Coverage Uses Distance and Correlation Measurement Method
Mochamad Chandra Saputra, T. Katayama, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 755 - 758 2020.1
Language：English Publishing type：Research paper (international conference proceedings)
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Identification of Manual Alphabets Based Gestures Using s-EMG for Realizing User Authentication Reviewed
Yamaba H., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Lecture Notes on Data Engineering and Communications Technologies 47 323 - 333 2020.1
Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：Lecture Notes on Data Engineering and Communications Technologies
© 2020, Springer Nature Switzerland AG. At the present time, since mobile devices such as tablet-type PCs and smart phones have penetrated deeply into our daily lives, an authentication method that prevents shoulder surfing attacks comes to be important. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are generated by the electrical activity of muscle fibers during contraction, can be detected over the skin surface, and muscle movement can be differentiated by analyzing the s-EMG signals. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In order to realize this method, we have to prepare a sufficient number of gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We introduced manual kana of the Japanese Sign Language syllabary and compared the identification performance of some candidate sets of feature values with adopting support vector machines.
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Shigyo Yasuhiro, Katayama Tetsuro, Aburada Kentaro, Kita Yoshihiro, Yamaba Hisaaki, Okazaki Naonobu
Proceedings of International Conference on Artificial Life and Robotics 2020 763 - 766 2020.1
Language：English Publishing type：Research paper (international conference proceedings) Publisher：ALife Robotics Corporation Ltd.
The natural language includes ambiguous expressions. VDM is one of methodology on the formal methods to write the specification without ambiguity. Because VDM++ is written by strict grammar, it is difficult to write a VDM++ specification. This research attempts to generate a VDM++ specification automatically from a natural language specification by machine learning. To generate a VDM++ specification, it is necessary to extract words which consist of predicate corresponding to the function and nouns corresponding to variable from the natural language specification. This paper proposes an approach to generate a VDM++ specification from the extracted words list. Identifiers are generated from the extracted words list, and then the VDM++ specification can be generated by converting them into VDM++ grammar.
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The Measurement of Class Cohesion using Semantic Approach
Priyambadha Bayu, Katayama Tetsuro, Kita Yoshihiro, Aburada Kentaro, Yamaba Hisaaki, Okazaki Naonobu
Proceedings of International Conference on Artificial Life and Robotics 2020 759 - 762 2020.1
Language：English Publishing type：Research paper (international conference proceedings) Publisher：ALife Robotics Corporation Ltd.
The cohesion is one of the design quality indicators that can be measured by focusing on the correlation between elements inner the class. In Direct Distance Design Class Cohesion (D3C2) metrics, elements are assumed correlated if they have a similar type. In this research, the correlation between elements' inner class is not only based on type similarity but also on the meaning of the element's name. The results confirm that the value of cohesion increases in line with the similarity of meaning.
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Application of Pairwise Testing into BWDM which is a Test Case Generation Tool for the VDM++ Specification Reviewed
T. Katayama, F. Hirakoba, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Journal of Robotics, Networks and Artificial Life 6 ( 3 ) 143 - 147 2019.12
Language：English Publishing type：Research paper (scientific journal)
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Implementation of CAPTCHA suitable for mobile devices Reviewed
K. Aburada, S. Usuzaki, H. Yamaba, T. Katayama, M. Mukunoki, M. Park, and N. Okazaki
IEICE Communications Express 8 ( 12 ) 601 - 605 2019.12
Language：English Publishing type：Research paper (scientific journal)
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An evaluation of the interactive video CAPTCHA method against automated attack Reviewed
K. Aburada, S. Usuzaki, H. Yamaba, T. Katayama, M. Mukunoki, M. Park, and N. Okazaki
IEICE Communications Express 8 ( 12 ) 453 - 457 2019.12
Language：English Publishing type：Research paper (scientific journal)
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Implementation of Tamias to Check Production Rules for Parsing Expression Grammar Reviewed
T. Katayama, T. Miyaji, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Journal of Robotics, Networks and Artificial Life 6 ( 2 ) 123 - 127 2019.9
Language：English Publishing type：Research paper (scientific journal)
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Evaluation of manual alphabets based gestures for a user authentication method using s-emg Reviewed
Yamaba H., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Advances in Intelligent Systems and Computing 1036 570 - 580 2019.8
Language：English Publishing type：Research paper (international conference proceedings) Publisher：Advances in Intelligent Systems and Computing
© Springer Nature Switzerland AG 2020. At the present time, since mobile devices such as tablet-type PCs and smart phones have widely penetrated into our daily lives, an authentication method that prevents shoulder surfing attacks comes to be important. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are generated by the electrical activity of muscle fibers during contraction, can be detected over the skin surface, and muscle movement can be differentiated by analyzing the s-EMG signals. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In order to realize this method, we have to prepare a sufficient number of gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We measured s-EMG signals of manual kana of The Japanese Sign Language syllabary and evaluated their potential as the important element of the user authentication method.