scholarly journals Binocular gaze detection method using a fuzzy algorithm based on quality measurements

2014 ◽  
Vol 53 (5) ◽  
pp. 053111 ◽  
Author(s):  
Chul Woo Cho ◽  
Hyeon Chang Lee ◽  
Su Yeong Gwon ◽  
Jong Man Lee ◽  
Dongwook Jung ◽  
...  
Author(s):  
Makoto SEI ◽  
Akira UTSUMI ◽  
Hirotake YAMAZOE ◽  
Norihiro HAGITA ◽  
Joo-Ho LEE

2011 ◽  
Vol 317-319 ◽  
pp. 968-971 ◽  
Author(s):  
Fang Yuan Li

The internal radial tire defects will affect the performance and the service life of the automobile. But the traditional detection method is to observe and detect in eyes using X-ray map which result that a lot of quality problems can not properly been judged out. This paper describes the X-ray image recognition using a fuzzy algorithm. The improved algorithm simplifies the traditional fuzzy algorithm complexity without the transform and inverse transform. The experimental results show that the improved algorithm makes the computational efficiency and extract more refined and clear edge for the radial tire which can correctly identify the failure and provide the necessary data processing.


2016 ◽  
Vol 18 (5) ◽  
pp. 732-740 ◽  
Author(s):  
Hong-Chan Chang ◽  
Shang-Chih Lin ◽  
Cheng-Chien Kuo ◽  
Cheng-Fu Hsieh

Author(s):  
K. Pegg-Feige ◽  
F. W. Doane

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.


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