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time-domain simulation models

ELIGMOS: time domain simulation of the maneuvering of ships in deep and shallow waters

ELIGMOS: time domain simulation of the maneuvering of ships in deep and shallow waters

... Results when studying the effect of shallow water on manoeuvring characteristics show that when h/d=1.2, the trajectory of the ship becomes larger. From the results presented in Fig. 5 we see that ad- vance and transfer ...

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Source excitation strategies for obtaining impulse responses in finite difference time domain room acoustics simulation

Source excitation strategies for obtaining impulse responses in finite difference time domain room acoustics simulation

... This paper contains several practical results that affect how FDTD simulations should be conducted with a special emphasis on these three excitation types. We also note that these different source models have ...

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Time Domain Simulation of Mixed Nonlinear Magnetic and Electronic Systems

Time Domain Simulation of Mixed Nonlinear Magnetic and Electronic Systems

... phenomenological models exist [2], [3], [7] but these effec- tively break the magnetic component down into an electrical ...general, models a toroidal core with a single air gap, and incorpo- rates leakage ...

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A VHDL AMS Based Time Domain Skin Depth Model for Edge Coupled Lossy Transmission Stripline

A VHDL AMS Based Time Domain Skin Depth Model for Edge Coupled Lossy Transmission Stripline

... novel time-domain signal dependent skin effect time domain model of edge coupled transmission line was proposed and successfully implemented in ...pulsed simulation results showed the ...

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Efficient Time Domain Signal and Noise FET Models for Millimetre Wave Applications

Efficient Time Domain Signal and Noise FET Models for Millimetre Wave Applications

... full-wave time- domain analysis involving distributed elements should be ...highly time consuming [4-6], even if different simulation time reduc- tion techniques have been already ...

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Time Domain SAR Raw Data Simulation of Distributed Targets

Time Domain SAR Raw Data Simulation of Distributed Targets

... data simulation of urban area, the importance of the multi-scattering case was emphasized and an analytical expression for both GO and Physical Optics (POs) approaches were given for a parallel-epiped shaped ...3D ...

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Accurate Time-Domain Simulation of Nonlinear Inductors Including Hysteresis and Eddy- Current Effects

Accurate Time-Domain Simulation of Nonlinear Inductors Including Hysteresis and Eddy- Current Effects

... the models of ...analysis time, the mean power losses are computed by integrating them along the analysis ...a time period expressed by ...analysis time (noted T a on the ...

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Investigating block mask lithography variation using finite-difference time-domain simulation

Investigating block mask lithography variation using finite-difference time-domain simulation

... base simulation that does not have any modeling ...the simulation for the third model seems to match the other two ...base simulation shows reasonable correlation with measured but further ...

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Coupling of a time domain boundary element method to compliant surface models

Coupling of a time domain boundary element method to compliant surface models

... for simulation in Room Acoustics when the priority is to predict scattering from a small object extremely accurately ...Difference Time Domain (FDTD), and permits an unbounded volume of air to be ...

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Prediction of railway induced ground vibration through multibody and finite element modelling

Prediction of railway induced ground vibration through multibody and finite element modelling

... frequency domain (Do Rˆego Silva, ...FEM models and it is presently possible to manage fully three-dimensional soil models, either in frequency (Wang et ...in time domain (Kouroussis et ...

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Two methods for transmission line simulation model creation based on time domain measurements

Two methods for transmission line simulation model creation based on time domain measurements

... behavioral simulation model creation. Having simula- tion models, a statement about the radiating electromagnetic fields can already be made in early phases of ...

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Towards domain-specific surrogate models for smart grid co-simulation

Towards domain-specific surrogate models for smart grid co-simulation

... Other authors used machine learning to build surrogate models. Fikri et al. (2018) compare traditional (i.e. numerical) methods to solve PF calculations with an artificial intelligence method using ANNs. The ...

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Frequency-Domain Nonlinear Behavioral Modeling Using The Arithmetic Operator Method

Frequency-Domain Nonlinear Behavioral Modeling Using The Arithmetic Operator Method

... Computer simulation is used in many fields of theoretical and applied science, by both re- searchers and ...practitioners. Simulation is used to model things where it is impossible to make analogous scale ...

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SIMULATION OF LONG WAVE AGITATION IN PORTS AND HARBOURS USING A TIME-DOMAIN BOUSSINESQ MODEL

SIMULATION OF LONG WAVE AGITATION IN PORTS AND HARBOURS USING A TIME-DOMAIN BOUSSINESQ MODEL

... The main objective of this study is to demonstrate that a Boussinesq wave model can be used as an accurate and efficient tool for the assessment of long period waves in a large port facility such as the Port of Long ...

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Domain Models Schemas: A Semantic Web Perspective

Domain Models Schemas: A Semantic Web Perspective

... as time, space, insubstantial or concrete objects, and so on can be covered by the top-level Ontologies, independent to the domain ...either domain or task Ontologies can be done based on these ...

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Analysis on Sensitivity of Power System Stability to Generator Parameters

Analysis on Sensitivity of Power System Stability to Generator Parameters

... Generators are the most important component of power system, and thus the level of power system stability is closely related to generator parameters [1] [2], which include both the parameters of generator models ...

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Simulation of the time-variable gravity field by means of coupled geophysical models

Simulation of the time-variable gravity field by means of coupled geophysical models

... Abstract. Time variable gravity fields, reflecting variations of mass distribution in the system Earth is one of the key parameters to understand the changing ...long time series of climate change that was ...

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Simulation-based Estimation Methods for Financial Time Series Models

Simulation-based Estimation Methods for Financial Time Series Models

... linear time series model is fitted to these variables, ML and GMM typically lead to substantial finite sample bias for the mean reversion parameter even in very large ...

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A comparison of car ownership models

A comparison of car ownership models

... the domain of dynamic models. Static disaggregate car ownership models (‘holding models’) can only give a time path for the car fleet if one is prepared to assume that in each period a ...

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Simulation-based Estimation Methods for Financial Time Series Models

Simulation-based Estimation Methods for Financial Time Series Models

... The two algorithms discussed in Section ?? are the classical ML methods. We now discuss how the Laplace approximation can be employed to perform a Bayesian MCMC analysis. The goal of MCMC methods is to sample from ...

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