Probing Cosmic Infrared Sources: A Computer Modeling Approach

1991 ◽  
Author(s):  
Chun M. Leung
2013 ◽  
Vol 12 (24) ◽  
pp. 2810-2826 ◽  
Author(s):  
Tushar S. Basu Baul ◽  
Dhrubajyoti Dutta ◽  
Dick de Vos ◽  
Herbert Hopfl ◽  
Pooja ◽  
...  

2004 ◽  
Vol 36 (5) ◽  
pp. 487-497 ◽  
Author(s):  
Pallavi Lal ◽  
Wei Sun

2006 ◽  
Vol 38 (5) ◽  
pp. 507-514 ◽  
Author(s):  
Qin Lian ◽  
Di-Chen Li ◽  
Yi-Ping Tang ◽  
Yong-Rui Zhang

2021 ◽  
Vol 278 ◽  
pp. 01017
Author(s):  
Fares Abu-Abed

This paper presents a computer modeling approach for monitoring a fleet of mining machines based on a software solution for traffic modeling. Computer simulations can help reduce prototyping costs and reduce the risk of initial launch failure by analyzing and tuning a prototype to test the most appropriate options. Using a computer modeling approach, we show in the first part of the article that the resulting vehicle monitoring metrics can be tested during the modeling process, instead of adding equipment to vehicles during the prototyping phase. Using real equipment in the prototype phase increases fleet downtime and decreases productivity. Using modern solutions for storing time series, we show how easy it is to analyze the data obtained as a result of modeling. In the second part of the article, we propose a workflow for integrating SUMO with a time series data warehouse through a software interface (API) called TraCI, which allows you to aggregate and visualize vehicle fleet data over time. At the end of this work, we discuss the measurement methodology and propose a potential solution for efficient data transmission.


2009 ◽  
Vol 37 (7) ◽  
pp. 1425-1433 ◽  
Author(s):  
Yingchun Zhang ◽  
Seoggwan Kim ◽  
Arthur G. Erdman ◽  
Kenneth P. Roberts ◽  
Gerald W. Timm

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