supported by the National Basic Research Program of China(973 Program)(2013CB733000)
The ever-increasing complexity of industry facilities has made the reliability analysis and assessment an imperative yet tough work. Motivated by practical engineering requirement, this paper develops a Bayesian-based...
supported by National Natural Science Foundation of China (Grant No. 61333015);National Basic Research Program of China (973) (Grant No. 2011CB302400)
In recent years,a series of subspace methods,named the collaborative representation based methods,have aroused researchers’interests.Inspired by the idea of sparse coding,Wright et al.proposed the sparse representati...
sponsorship of the National Natural Science Foundation of China (No.41674130);the National Basic Research Program of China (973 Program,Nos.2013CB228604,2014CB239201);the National Oil and Gas Major Projects of China (Nos.2016ZX05027004-001,2016ZX05002005-009);the Fundamental Research Funds for the Central Universities (15CX08002A) for their funding in this research
A single set of vertically aligned cracks embedded in a purely isotropic background may be con- sidered as a long-wavelength effective transversely iso- tropy (HTI) medium with a horizontal symmetry axis. The crack-...
sponsorship of the National Natural Science Foundation of China (41674130, 41404088);the National Basic Research Program of China (973 Program, 2013CB228604, 2014CB239201);the National Oil and Gas Major Projects of China (2016ZX05027004-001, 2016ZX05002005-09HZ);the Fundamental Research Funds for the Central Universities (14CX02113A, 15CX08002A) for their funding in this research
The conventional Markov chain Monte Carlo (MCMC) method is limited to the selected shape and size of proposal distribution and is not easy to start when the initial proposal distribution is far away from the target ...
The National Natural Science Foundation of China under contract Nos 41276029 and 41321004;the Project of State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography under contract No.SOEDZZ1404;the National Basic Research Program(973 Program)of China under contract No.2013CB430302
Bayesian estimation theory provides a general approach for the state estimate of linear or nonlinear and Gaussian or non-Gaussian systems. In this study, we first explore two Bayesian-based methods: ensemble adjustme...
jointly supported by the National Basic Research Program of China[grant numbers 2014CB953902,2012CB417203,and 2012CB955202];the Priority Research Program of the Chinese Academy of Sciences[grant number XDA11010402];the National Natural Science Foundation of China[grant numbers 41175059;41375087;and 91537103]
This study utilizes daily Asian Precipitation–Highly-Resolved Observational Data Integration Towards Evaluation(APHRODITE)gridded rainfall and the U.S.National Centers for Environmental PredictionDepartment of Ener...
Project supported by the National Natural Science Foundation of China(Grant No.61101173);the National Basic Research Program of China(Grant No.613206);the National High Technology Research and Development Program of China(Grant No.2012AA01A308);the State Scholarship Fund by the China Scholarship Council(CSC),and the Oversea Academic Training Funds,and University of Electronic Science and Technology of China(UESTC)
When modeling a stealth aircraft with low RCS(Radar Cross Section), conventional parameter estimation methods may cause a deviation from the actual distribution, owing to the fact that the characteristic parameters ...
co-supported by the National Natural Science Foundation (Grant Nos. 41005052 and 41375086);the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA05110201);the National Basic Research Program of China (Grant No. 2010CB950403)
Seasonal prediction of summer rainfall over the Yangtze River valley(YRV) is valuable for agricultural and industrial production and freshwater resource management in China, but remains a major challenge. Earlier mu...
supported by the National Basic Research Program of China (2011CB302903);the National Natural Science Foundation of China (61201161, 61271335);the Postdoctoral Science Foundation of Jiangsu Province (1301002B)
In order to take advantage of the asynchronous sensing information, alleviate the sensing overhead of secondary users (SUs) and improve the detection performance, a sensor node-assisted asynchronous cooperative spec...