Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Hideo Araki"'
Autor:
Hiroyuki NAKAZUMI, Michifumi YOSHIOKA, Mitsuaki YANO, Toru FUJINAKA, Hideo ARAKI, Ichiro TANAHASHI, Sigeru OMATU
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 2, Pp 43-48 (2013)
Compared with metal oxide semiconductor gas sensors, quarts crystal microbalance (QCM) sensors are sensitive for odors. Using an array of QCM sensors, we measure mixed odors and classify them into an original odor class before mixing based on neural
Externí odkaz:
https://doaj.org/article/69d3abd5e9544b88beba4c9365a5d4e1
Autor:
Sigeru OMATU, Hideo ARAKI, Toru FUJINAKA, Mitsuaki YANO, Michifumi YOSHIOKA, Hiroyuki NAKAZUMI, Ichiro TANAHASHI
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 2, Pp 43-48 (2012)
Compared with metal oxide semiconductor gas sensors, quarts crystal microbalance (QCM) sensors are sensitive for odors. Using an array of QCM sensors, we measure mixed odors and classify them into an original odor class beforemixing based on neural n
Externí odkaz:
https://doaj.org/article/f2b859e0f6a84a309e55fdd26cf82517