Ultralow-Power Single-Sensor-Based E-Nose System Powered by Duty Cycling and Deep Learning for Real-Time Gas Identification

Autor: Kim, Taejung, Kim, Yonggi, Cho, Wootaek, Kwak, Jong-Hyun, Cho, Jeonghoon, Pyeon, Youjang, Kim, Jae Joon, Shin, Heungjoo

This study presents a novel, ultralow-power single-sensor-based electronic nose (e-nose) system for real-time gas identification, distinguishing itself from conventional sensor-array-based e-nose systems whose power consumption and cost increase with

Externí odkaz: http://arxiv.org/abs/2404.17130

Thermal conductivity detector (TCD)-type gas sensor based on a batch-fabricated 1D nanoheater for ultra-low power consumption

Autor: Cho, Wootaek, Kim, Taejung, Shin, Heungjoo

Publikováno v: In Sensors and Actuators: B. Chemical 15 November 2022 371

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Ultralow-Power Single-Sensor-Based E-Nose System Powered by Duty Cycling and Deep Learning for Real-Time Gas Identification.

Autor: Kim T; Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea., Kim Y; Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea., Cho W; Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea., Kwak JH; Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea., Cho J; Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea., Pyeon Y; Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea., Kim JJ; Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea., Shin H; Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.

Publikováno v: ACS sensors [ACS Sens] 2024 Jul 26; Vol. 9 (7), pp. 3557-3572. Date of Electronic Publication: 2024 Jun 10.