Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ghassan A. AL – Kindi"'
Publikováno v:
Journal of Engineering, Vol 16, Iss 04 (2024)
ليلى القره غولي, [3/2/2024 10:03 AM] Abdel-Rahman, G. E. (1982)" Correlations Between index tests and the properties of Egyption Clay". Ms.C. Thesis, college of engineering, university of Cairo. Al-Busoda, b. S. Z. (2009) "Evaluation
Externí odkaz:
https://doaj.org/article/b34d312c572a4e6d8205f69c5535c32d
Autor:
Ghassan A. Al-Kindi, Ali Abbar Khleif
Publikováno v:
Engineering and Technology Journal, Vol 28, Iss 4, Pp 836-852 (2010)
An approach for automatic 3D object re-construction using its shadow ispresented. The approach investigates the use of information inherited by thegenerated object shadows to re-construct the object geometry. An algorithm isdeveloped that make use of
Externí odkaz:
https://doaj.org/article/1c461be579524a1f91a01c6934f498de
Autor:
Ghassan A. Al-Kindi, Brian C. Lovell
Publikováno v:
International Journal of Engineering and Technology. 4:330-335
Human ear is perhaps one of the relatively promising features that can be used in biometrics applications. Hence, the aim of this work is to assess the validity of using human ear recognition in real biometrics applications. A proposed system for ear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb6be57a9d3190e3ca9202abc4b8adf
https://doi.org/10.7763/ijet.2012.v4.376
https://doi.org/10.7763/ijet.2012.v4.376
Autor:
Bijan Shirinzadeh, Ghassan A. Al-Kindi
Publikováno v:
Image and Vision Computing. 27:444-458
This paper presents a feasibility assessment of acquiring vision-based surface roughness parameters for specimens produced by different machining type processes. Twenty produced specimens using five of the most common machining operations were employ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c44a2ba3ab483bf6f74ecbcbf95b5e5
https://doi.org/10.1016/j.imavis.2008.06.011
https://doi.org/10.1016/j.imavis.2008.06.011
Autor:
Bijan Shirinzadeh, Ghassan A. Al-Kindi
Publikováno v:
International Journal of Machine Tools and Manufacture. 47:697-708
This paper presents a methodology for using machine vision data to acquire reliable surface roughness parameter measurement. Stylus-based measurements were acquired and compared to vision-based measurements using standard and non-standard roughness p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1b92a2307898e7af5fa57cc05fcbdff
https://doi.org/10.1016/j.ijmachtools.2006.04.013
https://doi.org/10.1016/j.ijmachtools.2006.04.013
Publikováno v:
ICARCV
This paper presents a vision-based approach for valid assessment of surface roughness in both micro-scale and nano-scale regions. To enable data comparisons, three sets of surface data in the micro and nano regions are acquired by using a CCD camera,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::698ad96cd670a96638ba4dd2afb1cc36
https://doi.org/10.1109/icarcv.2008.4795819
https://doi.org/10.1109/icarcv.2008.4795819
Publikováno v:
MATEC Web of Conferences; 7/12/2016, Vol. 63, p1-4, 4p
Publikováno v:
2016 8th International Conference on Intelligent Human-Machine Systems & Cybernetics (IHMSC); 2016, p484-488, 5p
Publikováno v:
IOP Conference Series: Materials Science & Engineering; Oct2019, Vol. 635 Issue 1, p1-1, 1p