scholarly journals The ParaView Coprocessing Library: A scalable, general purpose in situ visualization library

Author(s):  
Nathan Fabian ◽  
Kenneth Moreland ◽  
David Thompson ◽  
Andrew C. Bauer ◽  
Pat Marion ◽  
...  
Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1031
Author(s):  
Joseba Gorospe ◽  
Rubén Mulero ◽  
Olatz Arbelaitz ◽  
Javier Muguerza ◽  
Miguel Ángel Antón

Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the digitalisation of society in general and the industrial world in particular. In addition, the immersion of the field of edge computing, which focuses on integrating artificial intelligence as close as possible to the client, makes it possible to implement systems that act in real time without the need to transfer all of the data to centralised servers. The combination of these two concepts can lead to systems with the capacity to make correct decisions and act based on them immediately and in situ. Despite this, the low capacity of embedded systems greatly hinders this integration, so the possibility of being able to integrate them into a wide range of micro-controllers can be a great advantage. This paper contributes with the generation of an environment based on Mbed OS and TensorFlow Lite to be embedded in any general purpose embedded system, allowing the introduction of deep learning architectures. The experiments herein prove that the proposed system is competitive if compared to other commercial systems.


2014 ◽  
Vol 33 ◽  
pp. 57-63 ◽  
Author(s):  
Alireza Tabatabaei ◽  
M. Reza Barzegari ◽  
Mohammadreza Nofar ◽  
Chul B. Park

2021 ◽  
pp. 138877
Author(s):  
Yuju Jeon ◽  
Yutong Wu ◽  
Yamin Zhang ◽  
Chihyun Hwang ◽  
Hyun-Wook Lee ◽  
...  

2014 ◽  
Vol 235 (2) ◽  
pp. e159
Author(s):  
M. Martin-Lorenzo ◽  
B. Balluff ◽  
A.S. Maroto ◽  
R.J.M. van Zeijl ◽  
L.A. McDonnell ◽  
...  

2017 ◽  
Vol 23 (20) ◽  
pp. 4803-4809 ◽  
Author(s):  
Kwang Soo Lim ◽  
So Yeon Jeong ◽  
Dong Won Kang ◽  
Jeong Hwa Song ◽  
Hyuna Jo ◽  
...  

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