Introduction To The Special Section On Edge/Fog Computing For Infectious Disease Intelligence

2022 ◽  
Vol 22 (3) ◽  
pp. 1-2
Author(s):  
Kaijian Xia ◽  
Wenbing Zhao ◽  
Alireza Jolfaei ◽  
Tamer Ozsu
2020 ◽  
Author(s):  
Naveen Tewari ◽  
Rajeev Kumar

Abstract The present research is generally related to a system and method for predicting an infectious disease such as COVID-19 transmitted by a virulent respiratory virus. Disclosed are a system and method for predicting an infectious disease transmitted by a virulent respiratory virus. The system includes a plurality of Internet of Things (IoT) sensors, a plurality of fog node devices, and a plurality of computing devices in cloud data centers. The IoT sensors are configured to be coupled to a plurality of human beings to generate a health dataset. The fog node devices are associated with a fog layer to receive the health dataset from the IoT sensors to process and to store the health dataset over a blockchain network. The fog node devices process the health dataset at the fog layer by performing a fog computing. The computing devices and cloud data centers receive the processed health dataset from the of fog node devices over the blockchain network. This research is also filed for patent in Indian Patent Office with application number – 202011021969.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 12280-12283 ◽  
Author(s):  
Minhaj Ahmad Khan ◽  
Tariq Umer ◽  
Samee U. Khan ◽  
Shui Yu ◽  
Abderrezak Rachedi

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 110943-110946
Author(s):  
Mithun Mukherjee ◽  
Maria Gorlatova ◽  
James Gross ◽  
Mohammad Aazam

Author(s):  
Adrian F. van Dellen

The morphologic pathologist may require information on the ultrastructure of a non-specific lesion seen under the light microscope before he can make a specific determination. Such lesions, when caused by infectious disease agents, may be sparsely distributed in any organ system. Tissue culture systems, too, may only have widely dispersed foci suitable for ultrastructural study. In these situations, when only a few, small foci in large tissue areas are useful for electron microscopy, it is advantageous to employ a methodology which rapidly selects a single tissue focus that is expected to yield beneficial ultrastructural data from amongst the surrounding tissue. This is in essence what "LIFTING" accomplishes. We have developed LIFTING to a high degree of accuracy and repeatability utilizing the Microlift (Fig 1), and have successfully applied it to tissue culture monolayers, histologic paraffin sections, and tissue blocks with large surface areas that had been initially fixed for either light or electron microscopy.


2003 ◽  
Vol 6 (3) ◽  
pp. 189-197 ◽  
Author(s):  
A. A. Cunningham ◽  
V. Prakash ◽  
D. Pain ◽  
G. R. Ghalsasi ◽  
G. A. H. Wells ◽  
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Keyword(s):  

2006 ◽  
Vol 40 (2) ◽  
pp. 20
Author(s):  
SHERRY BOSCHERT
Keyword(s):  

2005 ◽  
Vol 39 (1) ◽  
pp. 10
Author(s):  
MARY ANNE JACKSON
Keyword(s):  

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