Database issues for data visualization: System integration issues

Author(s):  
Manish Arya ◽  
Nancy Grady ◽  
Georges Grinstein ◽  
Peter Kochevar ◽  
Deborah Swanberg ◽  
...  
2016 ◽  
Vol 31 (5) ◽  
pp. 572-577 ◽  
Author(s):  
Taylor Hanken ◽  
Sam Young ◽  
Karen Smilowitz ◽  
George Chiampas ◽  
David Waskowski

AbstractAs one of the largest marathons worldwide, the Bank of America Chicago Marathon (BACCM; Chicago, Illinois USA) accumulates high volumes of data. Race organizers and engaged agencies need the ability to access specific data in real-time. This report details a data visualization system designed for the Chicago Marathon and establishes key principles for event management data visualization. The data visualization system allows for efficient data communication among the organizing agencies of Chicago endurance events. Agencies can observe the progress of the race throughout the day and obtain needed information, such as the number and location of runners on the course and current weather conditions. Implementation of the system can reduce time-consuming, face-to-face interactions between involved agencies by having key data streams in one location, streamlining communications with the purpose of improving race logistics, as well as medical preparedness and response.HankenT, YoungS, SmilowitzK, ChiampasG, WaskowskiD. Developing a data visualization system for the Bank of America Chicago Marathon (Chicago, Illinois USA). Prehosp Disaster Med. 2016;31(5):572–577.


2019 ◽  
Vol 46 ◽  
pp. 101439
Author(s):  
Jia-xin Hou ◽  
Ya-dong Wu ◽  
Yang-jie Xu ◽  
Xue-jun Li ◽  
Song Wang ◽  
...  

1998 ◽  
Vol 12 (4) ◽  
pp. 371 ◽  
Author(s):  
Chris Mitchell ◽  
Walter Gekelman

2020 ◽  
Vol 15 (2) ◽  
pp. 203-211
Author(s):  
Hiroyuki K. M. Tanaka ◽  

Technological developments in muography have evolved since the first volcano was imaged with muography in 2007. In order to improve the muography technique as a more useful aid to volcano studies, there is a need for the time required to show the resultant images to be shortened. To expedite this process, an automatic real-time visualization system was developed and tested. In conjunction with future scaled-up detectors that will collect muons faster, this visualization system can also offer more practical and efficient tools for volcano muography.


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