RECENT RESEARCH ON THE AUTOMATED MASS MEASURING SYSTEM

2013 ◽  
Vol 24 ◽  
pp. 1360003 ◽  
Author(s):  
HONG YAO ◽  
XIAO-PING REN ◽  
JIAN WANG ◽  
RUI-LIN ZHONG ◽  
JING-AN DING

The research development of robotic measurement system as well as the representative automatic system were introduced in the paper, and then discussed a sub-multiple calibration scheme adopted on a fully-automatic CCR10 system effectively. Automatic robot system can be able to perform the dissemination of the mass scale without any manual intervention as well as the fast speed calibration of weight samples against a reference weight. At the last, evaluation of the expanded uncertainty was given out.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Claudia Lindner ◽  
Ching-Wei Wang ◽  
Cheng-Ta Huang ◽  
Chung-Hsing Li ◽  
Sheng-Wei Chang ◽  
...  

An amendment to this paper has been published and can be accessed via a link at the top of the paper.


2021 ◽  
pp. 27-34
Author(s):  
A. P. Buynosov ◽  
◽  
V. S. Nagovitsyn ◽  
I. A. Ivanov ◽  
D. P. Kononov ◽  
...  

The paper considers operating principles of an automatic measuring system for monitoring the control condition of railway rolling stock wheelsets developed by the team of authors. The paper also presents the description of the system and the hardware implementation of devices integrated in its composition.


2016 ◽  
pp. 1316-1334
Author(s):  
Dimitrios Emmanouil ◽  
Antonia Mourtzikou

The present research is an attempt to explore the applicability of the best possible service in the area of organized health care services, at fixed predefined points of service. The suggestion is that there should be a system that will receive and provide information about health matters of general public concern. Thus following the lead of Citizen Service Centers in Greece, it can be extended conveniently to mobile devices. The main survey was conducted on a sample of Municipalities and Citizens in the year 2013. The results indicate that the new proposed system could be more secure for citizens for future use, based on supervising procedure by proper employee who will provide more help to the users, instead of a fully automatic system.


2003 ◽  
Vol 69 (687) ◽  
pp. 1524-1530 ◽  
Author(s):  
Kyotaro YOSHINO ◽  
Masakazu INABA ◽  
Genki YAGAWA ◽  
Toshimitsu FUJISAWA

Author(s):  
Reza Shoja Ghiass ◽  
Denis Laurendeau

This work addresses the problem of automatic head pose estimation and its application in 3D gaze estimation using low quality RGB--D sensors without any subject cooperation or manual intervention. The previous works on 3D head pose estimation using RGB--D sensors require either an offline step for supervised learning or 3D head model construction which may require manual intervention or subject cooperation for complete head model reconstruction. In this paper, we propose a 3D pose estimator based on low quality depth data, which is not limited by any of the aforementioned steps. Instead, the proposed technique relies on modeling the subject's face in 3--D rather than the complete head, which in turn, relaxes all of the constraints with the previous works. The proposed method is robust, highly accurate and fully automatic. Moreover, it does not need any offline step. Unlike some of the previous works, the method only uses depth data for pose estimation. The experimental results on the Biwi head pose database confirm the efficiency of our algorithm in handling large pose variations and partial occlusion. We also evaluate the performance of our algorithm on IDIAP database for 3D head pose and eye gaze estimation.


1994 ◽  
Vol 12 (3) ◽  
pp. 472-478 ◽  
Author(s):  
Tamio Arai ◽  
Hisayuki Kimura ◽  
Kentaro Maeda ◽  
Jun Ota ◽  
Kazunori Umeda

2015 ◽  
Vol 42 (6Part37) ◽  
pp. 3653-3653
Author(s):  
Y Gao ◽  
J Lian ◽  
R Chen ◽  
A Wang ◽  
D Shen

2020 ◽  
Vol 154 ◽  
pp. 104550
Author(s):  
Rogelio Rodríguez-Maese ◽  
Laura Ferrer ◽  
Víctor Cerdà ◽  
Luz O. Leal

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