Real time online data processing system for the e.e.g. and body movement during the lifetime of a freely moving mouse

1979 ◽  
Vol 17 (3) ◽  
pp. 416-418 ◽  
Author(s):  
A. Higashi ◽  
K. Uchizono ◽  
Y. Tani ◽  
M. Hoshino ◽  
T. Yano ◽  
...  
1975 ◽  
Vol 23 (4) ◽  
pp. 271-279
Author(s):  
YOSHIAKI KATO ◽  
YOSHIO TAJIMA ◽  
HAJIME HAYAKAWA ◽  
ATSUSHI SHIBATA ◽  
KOUJI NISHIWAKI

2018 ◽  
Vol 7 (3.33) ◽  
pp. 243
Author(s):  
Hyeopgeon Lee ◽  
Young-Woon Kim ◽  
Ki-Young Kim

Semiconductor production efficiency is closely related to the defect rate in the production process. The temperature and humidity control in the production line are very important because these affect the defect rate. So many smart factory of semiconductor production uses sensor. It is installed in the semiconductor process, which send huge amounts of data per second to a central server to carry out temperature and humidity control in each production line. However, big data processing systems that analyze and process large-scale data are subject to frequent delays in processing, and transmitted data are lost owing to bottlenecks and insufficient memory caused by traffic concentrated in the central server. In this paper, we propose a real-time big data processing system to improve semiconductor production efficiency. The proposed system consists of a production line collection system, task processing system and data storage system, and improves the productivity of the semiconductor manufacturing process by reducing data processing delays as well as data loss and discarded data.  


2009 ◽  
Vol 84 (7-11) ◽  
pp. 1680-1683
Author(s):  
S. Sakata ◽  
K. Kiyono ◽  
M. Sato ◽  
T. Kominato ◽  
M. Sueoka ◽  
...  

1996 ◽  
Vol 32 (1) ◽  
pp. 50
Author(s):  
Jimmie E. DeWitt ◽  
Timothy M. Holck ◽  
James H. Summers ◽  
Samuel L. Emrick

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