Applied Mathematical Modelling
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#1Stefan Heinz (UW: University of Wyoming)H-Index: 18
Abstract null null The coupling of mesoscale and microscale simulation methods represents a significant challenge of wind energy research. Conventional approaches used to address this problem often combine Reynolds-averaged Navier-Stokes (RANS) and large eddy simulation (LES) equation elements, which has two significant disadvantages. First, Wyngaard’s Terra Incognita challenge cannot be addressed because there is no reflection of the amount of flow resolution in such equations. Second, (because...
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#1Marcela Machado (UnB: University of Brasília)H-Index: 5
#2J.M.C. Dos Santos (State University of Campinas)H-Index: 10
Abstract null null Uncertainties play an important role in dynamic systems regarding their vibration and wave propagation behaviour. Stochastic methods have been used to address the randomness incorporated in numerical models. The spectral element method (SEM) is suitable to perform vibration and wave propagation analysis based on large frequency ranges with accuracy and low computational cost. This paper explores the longitudinal wave propagation considering uncertainties in the media aside fro...
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#1Rehab Ali IbrahimH-Index: 7
#2Mohamed Abd ElazizH-Index: 28
Last. Songfeng LuH-Index: 16
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Abstract Feature selection (FS) is a crucial step for effective data mining since it has largest effect on improving the performance of classifiers. This is achieved by removing the irrelevant features and using only the relevant features. Many metaheuristic approaches exist in the literature in attempt to address this problem. The performance of these approaches differ based on the settings of a number of factors including the use of chaotic maps, opposition-based learning (OBL) and the percent...
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Abstract null null In this article, the estimation of the unknown parameters and the survival and hazard functions of Weibull distribution is studied with the adaptive Type-II progressively censored competing risks data, where the lifetime random variables of the individual failure causes are independent and follow Weibull distribution with different scale and shape parameters. For frequentist estimation, the maximum likelihood estimators are obtained utilizing Newton-Raphson method, whose exist...
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Abstract null null It is crucial to predict the worst surface accuracy of deployable mesh reflectors considering uncertainties at the design stage. The traditional method is computationally expensive because a form-finding process which needs many iterations is required in each Monte Carlo simulation. A quick method is adopted to rapidly compute the worst surface accuracy of deployable mesh reflectors. The sensitivity relationships between nodal coordinate deviations, cable force deviations and ...
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#1Yuki Noguchi (UTokyo: University of Tokyo)H-Index: 7
#2Takayuki Yamada (UTokyo: University of Tokyo)H-Index: 47
Abstract null null In this paper, we propose a level set-based topology optimization method for the unit-cell design of acoustic metasurfaces by using a two-scale homogenization method. Based on previous works, we first propose a homogenization method for acoustic metasurfaces that can be combined with topology optimization. In this method, a nonlocal transmission condition depending on the unit cell of the metasurface appears in a macroscale problem. Next, we formulate an optimization problem w...
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Abstract null null This paper looks at the method of Medvedev and Scaillet at pricing short-term American options and provides an improved representation of their series solution in which explicit formulae for the coefficients are provided. This then avoids the need for solving complicated, recursive systems and efficiently provides fast solutions. We also compare the method with well-known existing methods and find that it outperforms them in giving more accurate option prices as well as critic...
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#1Xiaosong Shu (Hohai University)H-Index: 2
#2Tengfei Bao (Hohai University)H-Index: 2
Last. Kang Zhang (Hohai University)H-Index: 3
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Abstract null null Considering the multi-sources, heterogeneity and complexity of dam anomaly assessment, a novel anomaly assessment model based on sequential variational autoencoder and evidence theory is proposed to perform dam anomaly assessment. The anomaly assessment model consists of two stages: anomaly detection and anomaly fusion. At the stage of anomaly detection, a novel sequential variational autoencoder is proposed. The backbone of sequential variational autoencoder is fulfilled by t...
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#1Huasong ChenH-Index: 3
#2Zhenhua Xu (Nanjing University of Science and Technology)H-Index: 3
Last. Zhenhua Li (Nanjing University of Science and Technology)H-Index: 16
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Abstract null null We propose a method based on a global anisotropic gradient prior (GAGP) for addressing the problem of rain streak removal. We observe that both images and rain streaks have anisotropy at edges, and that the rain distribution in images is sparse. We therefore propose an L0-regularized sparse term with an L0-regularized GAGP term to efficiently detect the rain streaks. We applied the L0-regularized GAGP as the image regularization term to protect the image structure and details....
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