Rock burst prediction probability model based on case analysis

2019 ◽  
Vol 93 ◽  
pp. 103069 ◽  
Author(s):  
Shunchuan Wu ◽  
Zhongguang Wu ◽  
Chenxi Zhang
Crustaceana ◽  
2015 ◽  
Vol 88 (7-8) ◽  
pp. 911-922 ◽  
Author(s):  
Takeo Yamamoto ◽  
Tatsuya Yamada ◽  
Takahiro Kinoshita ◽  
Yuji Ueda ◽  
Hiroshi Fujimoto ◽  
...  

Growth and moulting of wild-born immature snow crabs (Chionoecetes opilio (Fabricius, 1788)) were investigated by laboratory culture experiments. Crabs with 16.2-42.9 mm carapace width caught from the Sea of Japan were cultured at a temperature of their natural habitat (approximately 1°C). The growth indices (size increments at moulting in mm and in % of premoult carapace width) and intermoult period were significantly affected by premoult carapace width, but sex did not affect these variables. Furthermore, we demonstrated that premoult carapace width and days after moulting significantly affected moulting probability and we developed a moulting probability model based on these variables. From this model, the number of days of intermoult periods when moults occurred in 50% of crabs of instars VI, VII and VIII was estimated at 234, 284 and 346 days, respectively.


Author(s):  
Gongjun Yan ◽  
Danda B. Rawat ◽  
Samy El-Tawab

One of the notoriously difficult problems in vehicular ad-hoc networks is to ensure that established paths do not break before the end of data transmission. This is a difficult problem because the network topology is changing constantly and the routing links are inherently unstable. This chapter reviews several routing protocols which are designed for vehicular network environment. Currently, there are five major types of routing protocols based on the metrics used for routing: 1) flooding based routing, 2) mobility based routing, 3) infrastructure based routing, 4) geographic position based routing, and 5) probability model based routing. We give a survey of each type of routing method. Since probability theory is an ideal tool to describe the dynamics of vehicles, we present one probability model based routing method as a detailed example.


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