abstract land surface hydrological models has importance in the determination of soil moisture and temperature, the rate of evapotranspiration, stream flow by emphasis on the land surface physical and dynamic process descriptions. in this research, vic land surface hydrological model has been used for the land surface temperature and stream flow determination. the vic runoff simulation in each ...

The resource space model (RSM) is a semantic data model based on orthogonal classification semantics for efficiently managing various resources in the future interconnection environment. This paper extends the RSM in theory by formalizing the resource space, investigating its characteristics from the perspective of set theory, defining the resource space schema and developing its normal forms. ...

Recent research in algorithms for solving global optimization problems using response surface methodology has shown that it is in general not possible to use one surrogate model for solving different kinds of problems. In this paper the approach of applying Dempster-Shafer theory to surrogate model selection and their combination is described. Various conflict redistribution rules have been exa...

This work investigates the problem of construction of designs for estimation and discrimination between competing linear models. In our framework, the unknown signal is observed with the addition of a noise and only a few evaluations of the noisy signal are available. The model selection is performed in a multi-resolution setting. In this setting, the locations of discrete sequential D and A de...

Bias reduction is an important condition for effective feature extraction. Utilizing recent theoretical results in high dimensional statistical modeling, we propose a model-free yet computationally simple approach to estimate the partially linear model Y = Xβ+g(Z)+ε. Based on partitioning the support of Z, a simple local average is used to approximate the response surface g(Z). The model can be...

Semantics shows diversity in real world, document world, mental abstraction world and machine world. Transformation between semantics pursues the uniformity in the diversity. The Resource Space Model (RSM) is a semantic data model for organizing resources based on the classification semantics that human often use in understanding the real world. The design of a resource space relies on knowledg...

This article introduces a new class of experimental designs, called split factorials, which allow for the estimation of both response surface effects (fixed effects of crossed factors) and variance components arising from nested random effects. With an economical run size, split factorials provide flexibility in dividing the degrees of freedom among the different estimations. For a split factor...

due to high surface-to-volume ratio of nanoscale structures, surface stress effects have a significant influence on their behavior. in this paper, a two-dimensional problem for an elastic layer that is bonded to a rigid substrate and subjected to an inclined concentrated line load acting on the surface of the layer is investigated based on gurtin-murdoch continuum model to consider surface stre...

Finite element (FE) models are widely used to predict the dynamic characteristics of aerospace structures. These models often give results that differ from the measured results and therefore need to be updated to match the measured data. FE model updating entails tuning the model so that it can better reflect the measured data from the physical structure being modeled 1. One fundamental charact...

the photocatalytic activity of nano-bi2o3 was evaluated in degradation of rhodamine b (rhb) as a model of dye pollutant from waste waters. nano sized bi2o3 was synthesized using the chemical precipitation method. the as-prepared sample was characterized by x-ray diffraction (xrd), scanning electron microscopy (sem) and fourier transform infrared spectrometry (ft-ir). structural analysis reveale...