論文 - 山場 久昭
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n-gram解析とOne-Class SVMを用いた IoT ボットネットワークの検知手法の提案
池田 良磨, 森 雅実, 岡崎 直宣, 山場 久昭, 油田 健太郎
宮崎大学工学部紀要 ( 49 ) 263 - 267 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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プロジェクト・スケジュールの遅延リスクの分析手法
宮崎 翔吾, 田辺 祥悟, 高塚 佳代子, 岡崎 直宣, 山場 久昭, 油田 健太郎
宮崎大学工学部紀要 ( 49 ) 257 - 261 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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色の恒常性を利用した CAPTCHA の ユーザビリティと機械攻撃耐性向上のための検討
臼崎 翔太郎, 砂本 佑紀, 岡崎 直宣, 山場 久昭, 油田 健太郎
宮崎大学工学部紀要 ( 49 ) 251 - 255 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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表面筋電位を用いた個人認証のための指文字ベースジェスチャの評価
山場 久昭, 長友 勇樹, 油田 健太郎, 岡崎 直宣
宮崎大学工学部紀要 ( 49 ) 233 - 237 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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環境音を利用したマウスによる音声型 CAPTCHA の提案
本田 佳鈴, 岩村 隆晴, 油田 健太郎, 山場 久昭, 岡崎 直宣
宮崎大学工学部紀要 ( 49 ) 171 - 175 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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メタデータを用いたリパッケージアプリの検出手法「CloneSpot」の改良
藤 竜成, 五味 健一郎, 油田 健太郎, 山場 久昭, 岡崎 直宣
宮崎大学工学部紀要 ( 49 ) 165 - 169 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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モバイル端末向け CAPTCHA のハフ変換を用いたボットへの耐性評価
竹口 真理亜, 梁井 孝治, 油田 健太郎, 山場 久昭, 岡崎 直宣
宮崎大学工学部紀要 ( 49 ) 159 - 163 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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プロジェクトのリスクマネジメントのためのサポートシステムに関する研究
宮崎 翔吾, 高塚 佳代子, 油田 健太郎, 山場 久昭, 岡崎 直宣
宮崎大学工学部紀要 ( 49 ) 135 - 157 2020年9月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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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8月
記述言語：英語 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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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 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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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（国際会議プロシーディングス） 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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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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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（国際会議プロシーディングス） 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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Bayu Priyambadha, T. Katayama, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 2020 763 - 766 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） 出版者・発行元：Proceedings of International Conference on Artificial Life and Robotics
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
Bayu Priyambadha, T. Katayama, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 2020 759 - 762 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） 出版者・発行元：Proceedings of International Conference on Artificial Life and Robotics
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 査読あり
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年12月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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Implementation of CAPTCHA suitable for mobile devices 査読あり
K. Aburada, S. Usuzaki, H. Yamaba, T. Katayama, M. Mukunoki, M. Park, and N. Okazaki
IEICE Communications Express 8 ( 12 ) 601 - 605 2019年12月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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An evaluation of the interactive video CAPTCHA method against automated attack 査読あり
K. Aburada, S. Usuzaki, H. Yamaba, T. Katayama, M. Mukunoki, M. Park, and N. Okazaki
IEICE Communications Express 8 ( 12 ) 453 - 457 2019年12月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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Implementation of Tamias to Check Production Rules for Parsing Expression Grammar 査読あり
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年9月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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Evaluation of manual alphabets based gestures for a user authentication method using s-emg 査読あり
Yamaba H., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Advances in Intelligent Systems and Computing 1036 570 - 580 2019年8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） 出版者・発行元：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.