Queueing analysis of network traffic: methodology and visualization tools

2005 ◽  
Vol 48 (3) ◽  
pp. 447-473 ◽  
Author(s):  
D.A. Rolls ◽  
G. Michailidis ◽  
F. Hernández-Campos
Keyword(s):  
Network Traffic ◽  
Queueing Analysis ◽  
Visualization Tools

Effects of visualization tools on cardiac telephone consultation processes

2006 ◽  
Author(s):  
Yukari Enomoto ◽  
Catherine M. Burns ◽  
Kathryn Momtahan ◽  
Whynne Caves
Keyword(s):  
Telephone Consultation ◽  
Visualization Tools

eMap: A Web Application for Identifying and Visualizing Electron or Hole Hopping Pathways in Proteins

2019 ◽  
Author(s):  
Ruslan N. Tazhigulov ◽  
James R. Gayvert ◽  
Melissa Wei ◽  
Ksenia B. Bravaya
Keyword(s):  
Web Application ◽  
Shortest Paths ◽  
Coarse Grained ◽  
Decay Parameter ◽  
Electron Hole ◽  
Web Based ◽  
Aromatic Amino Acid Residue ◽  
Pathways Model ◽  
Visualization Tools ◽  
Effective Decay

<p>eMap is a web-based platform for identifying and visualizing electron or hole transfer pathways in proteins based on their crystal structures. The underlying model can be viewed as a coarse-grained version of the Pathways model, where each tunneling step between hopping sites represented by electron transfer active (ETA) moieties is described with one effective decay parameter that describes protein-mediated tunneling. ETA moieties include aromatic amino acid residue side chains and aromatic fragments of cofactors that are automatically detected, and, in addition, electron/hole residing sites that can be specified by the users. The software searches for the shortest paths connecting the user-specified electron/hole source to either all surface-exposed ETA residues or to the user-specified target. The identified pathways are ranked based on their length. The pathways are visualized in 2D as a graph, in which each node represents an ETA site, and in 3D using available protein visualization tools. Here, we present the capability and user interface of eMap 1.0, which is available at https://emap.bu.edu.</p>

Network Traffic Encryption by IPSec

2019 ◽  
Vol 7 (5) ◽  
pp. 912-915
Author(s):  
Manoj Kumar ◽  
Amit Kishor
Keyword(s):  
Network Traffic

Network traffic prediction based on wavelet FARIMA model

2011 ◽  
Vol 31 (4) ◽  
pp. 901-903
Author(s):  
Yong SUN ◽  
Guang-wei BAI ◽  
Lu ZHAO
Keyword(s):  
Network Traffic ◽  
Traffic Prediction
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