論文 - 油田 健太郎
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継続的な認証及び異なる歩行速度での二つの端末を用いた異常検知による歩行認証の研究
渡辺一樹，油田健太郎，岡崎直宣，朴美娘
IPSJ SIG Technical Reports 2021-SPT-41 ( 16 ) 2021年3月
記述言語：日本語 掲載種別：研究論文（研究会，シンポジウム資料等）
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Development and Evaluation of Swahili Text Based CAPTCHA 査読あり
Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021) 297 - 301 2021年3月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Proposal and evaluation for color constancy CAPTCHA 査読あり
Usuzaki S., Aburada K., Yamaba H., Katayama T., Mukunoki M., Park M., Okazaki N.
Artificial Life and Robotics 26 ( 3 ) 291 - 296 2021年1月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：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.
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Development and evaluation of blockchain based agricultural input voucher system 査読あり
Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
Proc. 26th Int'l Sympo. on Artificial Life and Robotics 2021 (AROB 26th 2021) 1 - 6 2021年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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The Seven Information Features of Class for Blob and Feature Envy Smell Detection in a Class Diagram 査読あり
Bayu Priyambadha, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Proc. 2021 Int’l Conf. on Artificial Life and Robotics (ICAROB 2021) 348 - 351 2021年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Test Suite Reusability Measurement Based on Frequency and Coverage of Reused Test Cases 査読あり
Mochamad Chandra Saputra, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Proc. 2021 Int’l Conf. on Artificial Life and Robotics (ICAROB 2021) 344 - 347 2021年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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An attempt at an introduction of deep learning for a user authentication system using s-EMG 査読あり
Hisaaki Yamaba, Kenya Shiraishi, Shotaro Usuzaki, Kayoko Takatsuka, Kentaro Aburada, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 26th Int'l Sympo. on Artificial Life and Robotics 2021 (AROB 26th 2021) 1 - 5 2021年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Blockchain-based vote-type unknown malware detection method using a characteristic of anti-virus vendors' voting 査読あり
Hiroki Muranaka, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 26th Int'l Sympo. on Artificial Life and Robotics 2021 (AROB 26th 2021) 1 - 5 2021年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Improvement of RETUSS to Ensure Traceability between Sequence Diagram in UML and Java Source Code in Real Time 査読あり
Kaoru Arima, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Proc. 2021 Int’l Conf. on Artificial Life and Robotics (ICAROB 2021) 352 - 355 2021年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Proposal and Evaluation of a Gesture Authentication Method with Peep Resistance for Smartwatches
Park M., Aburada K., Okazaki N.
Proceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021 359 - 364 2021年
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Proceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021
The use of mobile terminals with small touchscreens such as smartwatches has increased dramatically in recent years. A PIN or pattern lock is commonly used for personal authentication on such devices, but because the information is displayed directly, authentication information can be leaked to someone peeking at the screen. In this paper, we propose a gesture-based smartwatch authentication method that reduces the likelihood of leaks by allowing the owner to include a dummy (or "fake") number at the time of authentication registration. The dummy number enables the user to perform an authenticating gesture different from that indicated by the icon displayed on the screen. In a series of experiments, we confirmed the usability of the proposed method, evaluated the effect of long-term familiarity and assessed the method's resistance to shoulder-surfing. In the usability experiment, the authentication time and success rate were 10.9 seconds and 73.3%, respectively. The authentication time and success rate in the long-term familiarity experiment improved to 8.8 seconds and 93%, and the leakage rate in the peep experiments was 0%.
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Katayama T., Shigyo Y., Kita Y., Yamaba H., Aburada K., Okazaki N.
Journal of Robotics, Networking and Artificial Life 7 ( 3 ) 165 - 169 2020年12月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Journal of Robotics, Networking and Artificial Life
The natural language includes ambiguous expressions. Vienna Development Method (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 that 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 based on its grammar from the classified word list. Identifiers are generated from the classified word list, and then the VDM++ specification can be generated by converting them into VDM++ grammar.
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FMD-VS: A virtual sensor to index FMD virus scattering 査読あり
Takatsuka K., Sekiguchi S., Yamaba H., Aburada K., Mukunoki M., Okazaki N.
PLoS ONE 15 ( 9 September ) 2020年9月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：PLoS ONE
Foot-and-mouth disease (FMD) models—analytical models for tracking and analyzing FMD outbreaks—are known as dominant tools for examining the spread of the disease under various conditions and assessing the effectiveness of countermeasures. There has been some remarkable progress in modeling research since the UK epidemic in 2001. Several modeling methods have been introduced, developed, and are still growing. However, in 2010 when a FMD outbreak occurred in the Miyazaki prefecture, a crucial problem reported: Once a regional FMD outbreak occurs, municipal officials in the region must make various day-today decisions throughout this period of vulnerability. The deliverables of FMD modeling research in its current state appear insufficient to support the daily judgments required in such cases. FMD model can be an efficient support tool for prevention decisions. It requires being conversant with modeling and its preconditions. Therefore, most municipal officials with no knowledge or experience found full use of the model difficult. Given this limitation, the authors consider methods and systems to support users of FMD models who must make real-time epidemic-related judgments in the infected areas. We propose a virtual sensor, designated “FMD-VS,” to index FMD virus scattering in conditions where there is once a notion of FMD; and (2) shows how we apply the developed FMD-VS technique during an outbreak. In (1), we show our approach to constructing FMD-VS based on the existing FMD model and offer an analysis and evaluation method to assess its performance. We again present the results produced when the technique applied to 2010 infection data from the Miyazaki Prefecture. For (2), we outline the concept of a method that supports the prevention judgment of municipal officials and show how to use FMD-VS.
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主観的輪郭を用いた回転3Dテキスト型CAPTCHAの提案 査読あり
臼崎翔太郎，油田健太郎，山場久昭，片山徹郎，椋木雅之，朴美娘，岡崎直宣
電子情報通信学会論文誌B J103-B ( 8 ) 332 - 343 2020年8月
記述言語：日本語 掲載種別：研究論文（学術雑誌）
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On a user authentication method to realise an authentication system using s-EMG 査読あり
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年5月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：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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Evaluation of Yubimoji Based Gestures for Realizing User Authentication Method Using s-EMG 査読あり
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年3月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：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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分散機械学習における勾配の異常検知を用いたブロックチェーンシステムの提案とその実現性の評価
長友 誠, 油田 健太郎，岡崎 直宣，朴 美娘
IPSJ SIG Technical Reports 2020年3月
記述言語：日本語 掲載種別：研究論文（研究会，シンポジウム資料等）
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Identification of Manual Alphabets Based Gestures Using s-EMG for Realizing User Authentication 査読あり
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年1月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：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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Development and Evaluation of Farmers Extension Information System 査読あり
Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
Proc. 25th Int'l Sympo. on Artificial Life and Robotics 2020 (AROB 25th 2020) 2020年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Proposal of an Algorithm to Generate VDM++ by Using Words Extracted from the Natural Language Specification 査読あり
Yasuhiro Shigyo, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Nanoubu Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 2020年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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The Measurement of Class Cohesion using Semantic Approach 査読あり
Bayu Priyambadha, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Nanoubu Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 2020年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）