Functional decomposition in the multiphase hybrid model
A hybrid model based on functional decomposition for vortex shedding simulations
... 72 Figure 3.5.2 Working condition matrix for the influential parameters of Froude number and gap ratio In the present work, a multiphase flow solver in OpenFOAM is used. A domain size of 40D×60D is adopted in ...
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Modeling multiphase flow with a hybrid model based on the Pore-network and the lattice Boltzmann method
... When the local capillary pressure is larger than p e c , the non-wetting phase passes through the pore throat invading the pore body. In the hybrid model, the pore space is decomposed into a series of ...
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A hybrid Box-Jenkins and decomposition model for drought forecasting in Kuala Terengganu
... 4 index (SPI) which it had been tested at the Kansabati river basin in India. (Mishra and Desai, 2005) Time series models have also been widely applied in scientific, economic and engineering field. Time series models ...
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A Hybrid Gold’s Returns Prediction Model Based on Empirical Mode Decomposition
... Mode Decomposition Autoregressive (EMDAR) and hybrid Empirical Mode Decomposition Autoregressive Neural Network ...that hybrid Empirical Mode Decomposition Autoregressive Neural Network ...
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Quantile Estimation for a Hybrid Model of Functional and Varying Coefficient Regressions
... these functional datasets has stimulated extensive research on functional regressions where the response variable or covariates are ...of functional data analysis, functional linear regression ...
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Advances in Functional Decomposition: Theory and Applications
... Elena Dubrova ∗ Maxim Teslenko ∗ Andres Martinelli ∗ Abstract A Kauffman network is an abstract model of gene regulatory networks. Each gene is represented by a vertex. An edge from one vertex to another implies ...
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Thermal Decomposition and Flame retardancy of Functional Polyester/Banana Peduncle fibre and Aluminum Hydroxide particle Hybrid Composites.
... of functional novel polyester/ aluminum hydroxide (AH) particles- Banana peduncle fibre (BPF) hybrid ...thermal decomposition in the polymer ...
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Hybrid adaptive evolutionary algorithm based on decomposition
... minimize g(x |λ, z) = max 1 ≤ j ≤ n {λ j | f j (x) − z ∗ j |} (2) z j = min { f j (x) | x ∈ Ω} z ∗ = { z 1 , z 2 , . . . , z j }. Algorithm 3, the main part of the HAEA / D framework, allocates resources to q = 4 ...
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Hybrid Model of Singular Value Decomposition, ANFIS and Genetic Algorithm for Prediction of Sediment Transport in Sewers
... The model 2, which is different from model 1 only in using the D 2 /A parameter instead of d/R as the independent parameter in the “transport mode”, shows a greater error in comparison with model 1 ...
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A multiphase model for tissue construct growth in a perfusion bioreactor
... the functional forms used to model mechanotransduction-mediated growth are highly idealised and that each stimulus was considered in isolation; physiolog- ically, these phenomena are likely to interact in a ...
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Proper Orthogonal Decomposition as a technique for identifying multiphase flow regime based on Electrical Impedance Tomography
... and model the specific phenomena. The Proper Orthogonal Decomposition (POD) is one of the most powerful data-analysis methods for multivariate and nonlinear ...
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A Multiphase Traction/Fast-Battery-Charger Drive for Electric or Plug-in Hybrid Vehicles
... plug-in hybrid automotive vehicles, without needing additional mass and volume dedicated to the ...A model for its control is defined in the generalized Concordia frame, considering the traction ...this ...
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Treatment of non-ideality in the SPACCIM multiphase model – Part 1: Model development
... The model results should be therefore treated with caution particularly at higher ionic strengths of the solution due to the lower range of functional- ity of Henry’s law coefficients compared to the ...
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Hybrid improved empirical mode decomposition and BP neural network model for the prediction of sea surface temperature
... In mathematics and science, a nonlinear system is a system in which the change of the output is not proportional to the change of the input. Nonlinear dynamical systems, describ- ing changes in variables over time, may ...
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Model-free Functional Data Analysis MELODIC Multivariate Exploratory Linear Optimised Decomposition into Independent Components
... #components observed Eigenspectrum of the data covariance matrix Laplace approximation of the posterior probability of the model order theoretical Eigenspectrum from Gaussian noise.. ove[r] ...
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Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data
... While recent methods, such as [16] have addressed the task of classifying patients based on motion or predicting age or other factors, the more challenging task of modelling full motion dynamics at different ages has not ...
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benchmarked. Functional decomposition was generated from engineering requirements.
... The key electrical and physical characteristics of the DME devices shown above were collected from each respective datasheet. The final DME device selection is one of our largest unknowns at this time. The DME device is ...
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A multiphase software reliability model: From testing to operational phase
... or functional program elements whose sensitization is deemed essential towards establishing the operational integrity of the software ...and functional description, ...
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Triangular flow in heavy ion collisions in a multiphase transport model
... AMPT model is a hybrid model [ 18 ] with the initial particle distributions generated by the heavy ion jet interaction generator (HIJING) model [ 19 ...HIJING model is replaced in the ...
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Thoughts on Functional Decomposition
... To help Rational customers understand this concept, I explain that it is optimal for subsystems to provide services in an "m-n relationship." That is, each subsystem requirement may be derived from many system ...
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