scholarly journals Predicting of Ship Magnetic Field Underwater Based on Grey Theory Model

2021 ◽  
Vol 680 (1) ◽  
pp. 012100
Author(s):  
Pengzhong Wang ◽  
Junji Gao
2014 ◽  
Vol 501-504 ◽  
pp. 829-833
Author(s):  
Cheng Xin Yu ◽  
Zheng Wen Yu ◽  
Yong Qian Zhao ◽  
Jia Dong Zhang

It has great significance to ensure the safety of bridge structure by using information technology to monitor the bridge dynamic deformation and find out problems in time, besides, it is more effective to make analysis of the bridge by using grey theory model. The combination of the two methods could avoid the observation error, and play an active role in improving the safety and reliability of bridge.


2013 ◽  
Vol 671-674 ◽  
pp. 3-9 ◽  
Author(s):  
Cheng Hua Wang ◽  
Mei Na Zhang

An improved grey system model GM(1,1) was proposed in this paper, considered that the large difference between predicted results and measured load-settlement relationship results of bored piles, in which the prediction results were given by the original theory. The complete and incomplete load-settlement curves from pile loading tests were fitted and predicated by the improved grey model. The results calculated with empirical equations or methods in technical code for building pile foundations were compared with those predicted with the improved grey model. Analysis of a case study showed that the results predicted by the improved grey theory model GM(1,1) had higher precision, which demostrated that this improved theory was of significance in engineering practice.


2014 ◽  
Vol 953-954 ◽  
pp. 3-7 ◽  
Author(s):  
Zhi Feng Zhong ◽  
Chen Yang Yan ◽  
Tian Jin Zhang ◽  
Mao Tian

This paper makes a prediction about the daily power generation of the photovoltaic power station in Wuhan International Exhibition Center by the application of multivariable grey theory model and compares the forecasted results with the real results. This research proves that the application of the theory of multivariable grey model on short-term prediction of photovoltaic power generation can achieve a good prediction effect, which also has certain engineering application value.


1997 ◽  
Vol 57 (2) ◽  
pp. 343-348 ◽  
Author(s):  
CHANDRA DAS

The non-oscillating part of the magnetic moment field (called the inverse Faraday effect (IFE) for this field from a circularly polarized wave in a medium) is calculated for the interaction of an elliptically polarized wave with a weakly ionized magnetized plasma in a kinetic theory model and with unmagnetized Vlasov plasmas. For a weakly ionized magnetized plasma, the induced field increases with both temperature and ambient magnetic field. For an unmagnetized plasma, it increases parabolically with temperature. The induced magnetic field is found to vary parabolically with temperature in the case of an unmagnetized Vlasov plasma.


2018 ◽  
Vol 55 (4C) ◽  
pp. 20
Author(s):  
Nguyen Hien Than

The green growth prediction plays an important role to assess and monitor the growth rate of a local region. Managers and researchers can make timely adaptation policy to improve and innovate economic, cultural and environmental performance to impulse the green growth. The study used the methods such as the multiple criteria analysis, analytic hierarchy process, principal component analysis, and the grey theory model to build and integrate green growth indicators into the green growth index. The green growth index was developed by 9 subjects and 18 indicators. The data of study were collected a period of seven years from 2009 to 2015. The results of study indicated that almost districts increased the green growth index. District 1 and District 5 reached at high green growth level about 60 score, while others were classified into average green growth level. The results of green growth prediction of districts in Ho Chi Minh City also showed that the green growth index will lightly increase from 2016 – 2020. 


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