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J-GLOBAL ID：201702220106681337   Reference number：17A1913678

Feature Extraction Using Empirical Mode Decomposition for Tire Sensing

EMDを用いたタイヤセンシングのための特徴抽出法

Author (5)： ISHII Keita (Bridgestone Corp., Tokyo, JPN) ,  GOTO Takato (Bridgestone Corp., Tokyo, JPN) ,  MATSUI Tomoko (Inst. of Statistical Mathematics, Tokyo, JPN) ,  PETERS Gareth W. (Heriot-Watt Univ., Edinburgh, GBR) ,  AZZAOUI Nourddine (Univ. Clermont Auvergne, Clermont-Ferrand, FRA)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 293(IBISML2017 35-89)  Page： 315-320  Publication year： Nov. 02, 2017 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： tire ,  speed sensor ,  acceleration (ratio) ,  *waveform analysis ,  *state ,  automatic classification ,  *feature extraction ,  frequency analysis ,  cost ,  detection ,  Machine Learning ,  acceleration sensor ,  calculation cost
Semi thesaurus term： sensing ,  empirical mode decomposition ,  *feature extraction ,  *road surface condition

JST classification (3)： Pavement in general  (RC04010K) ,  Artificial intelligence  (JE08000Z) ,  Pattern recognition  (JE07000S)

Reference (17)：

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Terms in the title (3)： タイヤ ,  センシング ,  特徴抽出法