scholarly journals Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications

2020 ◽  
Vol 27 (3) ◽  
pp. 8-11
Author(s):  
Weiqing Min ◽  
Yonghong Tian ◽  
Zi Huang ◽  
Wen-Huang Cheng ◽  
Abdulmotaleb El Saddik
2019 ◽  
pp. 221-239
Author(s):  
Lelin Zhang ◽  
Bang Zhang ◽  
Ting Guo ◽  
Fang Chen ◽  
Peter Runcie ◽  
...  

2018 ◽  
Vol 7 (7) ◽  
pp. 264 ◽  
Author(s):  
Ningyu Zhang ◽  
Shumin Deng ◽  
Huajun Chen ◽  
Xi Chen ◽  
Jiaoyan Chen ◽  
...  

2018 ◽  
Vol 38 (5) ◽  
pp. 26-35 ◽  
Author(s):  
Harish Doraiswamy ◽  
Juliana Freire ◽  
Marcos Lage ◽  
Fabio Miranda ◽  
Claudio Silva

2020 ◽  
Vol 10 (16) ◽  
pp. 5400
Author(s):  
Renzo Massobrio ◽  
Sergio Nesmachnow

Transportation systems play a major role in modern urban contexts, where citizens are expected to travel in order to engage in social and economic activities. Modern transportation systems incorporate technologies that generate huge volumes of data, which can be processed to extract valuable mobility information. This article describes a proposal for studying public transportation systems following an urban data analysis approach. A thorough analysis of the transportation system in Montevideo, Uruguay, and its usage is outlined, combining several sources of urban data. Furthermore, origin-destination matrices, which describe mobility patterns in the city, are generated using ticket sales data. The computed results are validated with a recent mobility survey. Finally, a visualization web application is presented, which allows conveying mobility information in an intuitive way.


Author(s):  
P. Ingram

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.


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