Post Deadline Paper (PDP) Program Article Swipe

PDF

Related Concepts

Computer science Fireworks Real-time computing Fiber Optical fiber SIGNAL (programming language) Deep learning Artificial intelligence Speech recognition Telecommunications Materials science Chemistry Organic chemistry Programming language Composite material

Tetsuya Kawanishi , Ming-Fang Huang , Jian Fang , Shaobo Han , Zhuocheng Jiang , Sarper Özharar , Yuheng Chen , Tomoyuki Hino , Ting Wang , Scott R. Bickham , Peter Hebgen , Pushkar Tandon , H.B. Matthews , Jennifer Prater , David Lewis , Hector de Pedro , Darren A. Stainer , Inna Kouzmina , Sarah L. Wager , Jason Pace , Bryan Wakefield , John D. Downie , Jason E. Hurley , Fukutaro Hamaoka , Kohei Saito , Akira Masuda , Hiroki Taniguchi , Takeo Sasai , Masanori Nakamura , Takayuki Kobayashi , Yoshiaki Kisaka , Takuo Tanemura , Mingchen Chen , Takahiko Shindo , Shigeru Kanazawa , Masahiro Nada , Yasuhiko Nakanishi , A. Kanda , Koichi Hadama , Hirotaka Nakamura , Zaijun Chen , Alexander Sludds , Ronald Davis , Ian Christen , Lamia Ateshian , Liane Bernstein , Tobias Heuser , Niels Heermeier , James A. Lott , Stephan Reitzenstein , Ryan Hamerly , Dirk Englund , Alireza Fardoost , Fatemeh Ghaedi Vanani , Zheyuan Zhu , Christopher Doerr , Shuo Pang , Guifang Li ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.23919/oecc/psc53152.2022.9850228 · OA: W4292259091

We report distributed-fiber-optic-sensing results on impulsive acoustic events localization/classification over telecom networks.A deep-learning-based model was trained to classify starter-gun and fireworks signatures with high accuracy of >99% using fiber-based-signal-enhancer and >97% using aerial coils.