Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Young-Wung Kim"'
Publikováno v:
Advances in Structural Engineering. Jan2016, Vol. 19 Issue 1, p3-13. 11p.
Publikováno v:
Journal of IEMEK. 8:155-161
To reduce the personnel and material loss caused by fire, we propose the automatic fire extinguishing system based on the ignition point tracking using the flame detecter. This automatic fire extinguishing system is composed of the flame detecting sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f21fe12505bb286ec54d62dee8ef4a4e
https://doi.org/10.14372/iemek.2013.8.3.155
https://doi.org/10.14372/iemek.2013.8.3.155
Publikováno v:
IEMEK Journal of Embedded Systems and Applications. 7:301-309
In this paper, a real-time monitoring system based on WSN is designed and implemented to monitor livestock growth environment information which includes the temperature, humidity and harmful gases such as and so on. The proposed system consists of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eab86da0b3377867fc2b5b696370f24
https://doi.org/10.14372/iemek.2012.7.6.301
https://doi.org/10.14372/iemek.2012.7.6.301
Publikováno v:
Journal of the Institute of Electronics Engineers of Korea. 49:314-321
Harmful gases which are generated from various rout at growth environment of livestock ban have a direct and indirect bad influence to the livestock and farmers, and also step-up breeding density and long-term exposure to the sealed environment of wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af2b7169c2cc3112a25834996454c87
https://doi.org/10.5573/ieek.2012.49.9.314
https://doi.org/10.5573/ieek.2012.49.9.314
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 20:716-721
In this work we address the use of support vector machine (SVM) in the multi-class gas classification system. The objective is to classify single gases and their mixture with a semiconductor-type electronic nose. The SVM has some typical multi-class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b01edefd94a116ea9ffb0680567bab6
https://doi.org/10.5391/jkiis.2010.20.5.716
https://doi.org/10.5391/jkiis.2010.20.5.716
Publikováno v:
International Journal of Steel Structures; Mar2018, Vol. 18 Issue 1, p1-12, 12p
Publikováno v:
AIP Conference Proceedings.
This paper describes a portable electronic nose (e‐nose) system for use in the identification of synthesized gasoline, comprised of a single semiconductor type of gas sensor and pattern recognition neural networks. The designed e‐nose system cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c84fd1f58b6c52a1afd8f2f457436e6
https://doi.org/10.1063/1.3626326
https://doi.org/10.1063/1.3626326
Publikováno v:
ROSE
We present a study on the development and testing of a wireless electronic nose network (WENn) for monitoring real-time gas mixture, NH 3 and H 2 S, main malodors in various environments. The proposed WENn is based on an embedded PC, an electronic ol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b5aa4249f5561f85abb8fc70688a354
https://doi.org/10.1109/rose.2009.5355983
https://doi.org/10.1109/rose.2009.5355983
Publikováno v:
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.
This paper presents an intelligent wireless electronic nose node (WENN) that has been designed to classify and quantify binary gas mixtures, NH3 and H2S, the main malodors in various environments. The proposed WENN is based on embedded PC technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d68bb70ef469259715ed315a8d7245
https://doi.org/10.1109/cimsa.2007.4362547
https://doi.org/10.1109/cimsa.2007.4362547
Publikováno v:
Proceedings of SICE Annual Conference 2010; 2010, p3365-3370, 6p