Directed weighted network structure analysis of complex impedance measurements for characterizing oil-in-water bubbly flow

2017 ◽  
Vol 27 (3) ◽  
pp. 035805 ◽  
Author(s):  
Zhong-Ke Gao ◽  
Wei-Dong Dang ◽  
Le Xue ◽  
Shan-Shan Zhang
2019 ◽  
Vol 35 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Shi Cheng Song ◽  
Sung hoon Park ◽  
Gi Tae Yeo

2014 ◽  
Vol 69 (12) ◽  
pp. 635-644
Author(s):  
Ke-Pei Men ◽  
Kai Zhao

AbstractM ≥7 earthquakes have showed an obvious commensurability and orderliness in Xinjiang of China and its adjacent region since 1800. The main orderly values are 30 a × k (k = 1,2,3), 11 ~ 12 a, 41 ~ 43 a, 18 ~ 19 a, and 5 ~ 6 a. In the guidance of the information forecasting theory of Wen-Bo Weng, based on previous research results, combining ordered network structure analysis with complex network technology, we focus on the prediction summary of M ≥ 7 earthquakes by using the ordered network structure, and add new information to further optimize network, hence construct the 2D- and 3D-ordered network structure of M ≥ 7 earthquakes. In this paper, the network structure revealed fully the regularity of seismic activity of M ≥ 7 earthquakes in the study region during the past 210 years. Based on this, the Karakorum M7.1 earthquake in 1996, the M7.9 earthquake on the frontier of Russia, Mongol, and China in 2003, and two Yutian M7.3 earthquakes in 2008 and 2014 were predicted successfully. At the same time, a new prediction opinion is presented that the future two M ≥ 7 earthquakes will probably occur around 2019 - 2020 and 2025 - 2026 in this region. The results show that large earthquake occurred in defined region can be predicted. The method of ordered network structure analysis produces satisfactory results for the mid-and-long term prediction of M ≥ 7 earthquakes.


2016 ◽  
Vol 26 ◽  
pp. 130-152 ◽  
Author(s):  
Thiago Christiano Silva ◽  
Sergio Rubens Stancato de Souza ◽  
Benjamin Miranda Tabak

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