scholarly journals Study on data transmission problem from the existence of Hamiltonian fractional factor

2019 ◽  
Vol 3(2019) (1) ◽  
pp. 49-58
Author(s):  
Jianzhang Wu ◽  
◽  
Jiabin Yuan ◽  
Wei Gao ◽  
◽  
...  
Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 544-553 ◽  
Author(s):  
Wei Gao ◽  
Yunqing Zhang ◽  
Yaojun Chen

Abstract In data transmission networks, the availability of data transmission is equivalent to the existence of the fractional factor of the corresponding graph which is generated by the network. Research on the existence of fractional factors under specific network structures can help scientists design and construct networks with high data transmission rates. A graph G is named as an all fractional (g, f, n′, m)-critical deleted graph if the remaining subgraph keeps being an all fractional (g, f, m)-critical graph, despite experiencing the removal of arbitrary n′ vertices of G. In this paper, we study the relationship between neighborhood conditions and a graph to be all fractional (g, f, n′, m)-critical deleted. Two sufficient neighborhood conditions are determined, and furthermore we show that the conditions stated in the main results are sharp.


2019 ◽  
Vol 4 (1) ◽  
pp. 191-196 ◽  
Author(s):  
Jianzhang Wu ◽  
Jiabin Yuan ◽  
Wei Gao

AbstractIn software definition networks, we allow transmission paths to be selected based on real-time data traffic monitoring to avoid congested channels. Correspondingly, this motivates us to study the existence of fractional factors in different settings. In this paper, we present several extend sufficient conditions for a graph admits ID-Hamiltonian fractional (g, f )factor. These results improve the conclusions originally published in the study by Gong et al. [2].


2013 ◽  
Vol 310 ◽  
pp. 544-547
Author(s):  
Zhi Huang ◽  
Xue Peng Liu

The electromechanical system is discussed, which simplify the circuit working status by the computer to treat voltage sampling value. Interface program is developed. Finally, large sampling data transmission problem is solved by the PC machine with multiple sampling SCM communication. The digital circuit fault diagnosis method is utilized.


2017 ◽  
Vol 25 (101) ◽  
pp. 324-331
Author(s):  
Andrey, Bryanskiy ◽  
Keyword(s):  

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