Real-Time Neutrosophic Graphs for Communication Networks

Author(s):  
Siddhartha Sankar Biswas

In this century the communication networks are expanding very fast in huge volumes in terms of their nodes and the connecting links. But for a given alive communication network, its complete core topology may not be always available to the concerned communication systems at a given real point of time. Thus, at any real-time instant the complete graph may not be available, but a subgraph of it to the system for executing its communication or transportation activities may be. In this chapter, the author introduces ‘real-time neutrosophic graphs' (RTN-graphs) in which all real-time information (being updated every q quantum of time) are incorporated so that the communication/transportation system can serve very efficiently with optimal results. Although the style and philosophy of Dijkstra's algorithm is followed, the approach is completely new in the sense that the neutrosophic shortest path problem (NSPP) is solved with the real-time information of the network where most of the data are neutrosophic numbers.

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.


2020 ◽  
Vol 156 (1) ◽  
Author(s):  
Santiago E. Alvarez ◽  
Sarah M. Lein

Abstract Using online data for prices and real-time debit card transaction data on changes in expenditures for Switzerland allows us to track inflation on a daily basis. While the daily price index fluctuates around the official price index in normal times, it drops immediately after the lockdown related to the COVID19 pandemic. Official statistics reflect this drop only with a lag, specifically because data collection takes time and is impeded by lockdown conditions. Such daily real-time information can be useful to gauge the relative importance of demand and supply shocks and thus inform policymakers who need to determine appropriate policy measures.


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