Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Bo Suk Yang"'
Autor:
Dajeong Lim, Cedric Gondro, Hye Sun Park, Yong Min Cho, Han Ha Chai, Hwan Hoo Seong, Bo Suk Yang, Seong Koo Hong, Won Kyung Chang, Seung Hwan Lee
Publikováno v:
Asian-Australasian Journal of Animal Sciences, Vol 26, Iss 5, Pp 603-608 (2013)
Hanwoo have been subjected over the last seventy years to intensive artificial selection with the aim of improving meat production traits such as marbling and carcass weight. In this study, we performed a signature of selection analysis to identify r
Externí odkaz:
https://doaj.org/article/255e96ddca4b4b008b56b47d8e80713c
Publikováno v:
International Journal of Rotating Machinery, Vol 6, Iss 1, Pp 19-27 (2000)
This paper describes an efficient method to automatize vibration diagnosis for rotating machinery using a decision tree, which is applicable to vibration diagnosis expert system. Decision tree is a widely known formalism for expressing classification
Externí odkaz:
https://doaj.org/article/0b8d71eedb774e2c99ea6fa819ca8e7d
Publikováno v:
Advances in Evolutionary Algorithms
Genetic algorithms (GAs) are powerful stochastic search techniques and are the most widely known types of evolutionary algorithms (EAs). This method performs a search by evolving a population of candidate solutions through the use of non-deterministi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::235f0f501a8593715aa896ee2bde1b9b
http://www.intechopen.com/articles/show/title/a_hybrid_evolutionary_algorithm_and_its_application_to_parameter_identification_of_rolling_elements_
http://www.intechopen.com/articles/show/title/a_hybrid_evolutionary_algorithm_and_its_application_to_parameter_identification_of_rolling_elements_
Publikováno v:
International Journal of Rotating Machinery, Vol 2006 (2006)
This paper proposes an online fault diagnosis system for induction motors through the combination of discrete wavelet transform (DWT), feature extraction, genetic algorithm (GA), and neural network (ANN) techniques. The wavelet transform improves the
Externí odkaz:
https://doaj.org/article/2c74974b6596406f8e3e1ae8e3a731f0
Publikováno v:
Annals of Animal Resource Sciences. 27:143-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c35edea6ba6293978e428f2948edda
https://doi.org/10.12718/aars.2016.27.3.143
https://doi.org/10.12718/aars.2016.27.3.143
Publikováno v:
Annals of Animal Resource Sciences. 27:95-100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f5a5865f6804ab7c5b6680da1bc05f
https://doi.org/10.12718/aars.2016.27.2.95
https://doi.org/10.12718/aars.2016.27.2.95
Publikováno v:
Journal of the Korean Society for Nondestructive Testing. 36:45-52
Blast furnaces are crucial equipment for steel production. A typical furnace risks unexpected accidents caused by contraction and expansion of the walls under an environment of high temperature and pressure. In this study, an acoustic emission (AE) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5baa62df30c3e8326ce2b001bc73d1
https://doi.org/10.7779/jksnt.2016.36.1.45
https://doi.org/10.7779/jksnt.2016.36.1.45
Autor:
Yeong-Hun Hong, Gi-Jun Jeon, Bo-Suk Yang, Sun-Sik Jang, Jun Heon Lee, Seung Hwan Lee, Hyeong-Cheol Kim, Jeong–Mook Lee, Seong-Koo Hong, Chang-Gwon Dang, Hee-Seol Kang, Seong-Heum Yeon
Publikováno v:
Korean Journal of Agricultural Science. 40:339-345
The objective of this study was to establish genetic evaluation systems with carcass data collected by 68 individual farms from 2007 to 2011 in Pyeongchang area of Kangwon province. All the possible of environment effects were corrected by analysis o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9318fb5038d70066ba4ee9feb56b477c
https://doi.org/10.7744/cnujas.2013.40.4.339
https://doi.org/10.7744/cnujas.2013.40.4.339
Publikováno v:
International Journal of Rotating Machinery. Jan2006, Issue 1, Special section p1-7. 7p.
Publikováno v:
Mechanical Systems and Signal Processing. 38:601-614
In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::207aafc3cc37bdeb1c8657720bb20927
https://doi.org/10.1016/j.ymssp.2013.02.001
https://doi.org/10.1016/j.ymssp.2013.02.001