scattering parameter-based model
Monte-Carlo-Based Impulse Response Modeling for Underwater Wireless Optical Communication
... The scattering phase function is a key parameter to model angle scattering in the Monte Carlo simulation and can be approximated by the commonly used Henyey-Greenstein (HG) phase function, but ...
8
Power Cable Joint Model: Based on Lumped Components and Cascaded Transmission Line Approach
... lumped parameter odel and a cascaded transmission line model are proposed based on scattering parameters (S -parameters) measurement on a 10 kV oil-filled PILC-PILC straight cable joint in the ...
17
Wideband Dispersion Analysis of Waveguide Geometries Using Finite Sampled Data
... Abstract—Wideband analysis of frequency dispersive geometries is a challenge in inverse scattering problems. Waveguide duct is an important case in aerial targets with dominant returns. Its dispersive behavior ...
10
Shape Slope Parameter Distribution Modelling of Electromagnetic Scattering by Rain Drops
... Narayana et al. [12] studied the variability of the µ-Λ relation using the Joss-Waldvogel distrometer (JWD) data measured at Gadanki, India, under the conditions, reflectivity ≥ 30 dBZ and number of drops ≥ 500. They ...
19
Ion irradiation induced structural and electrical transition in graphene
... the scattering mechanism of disordered graphene may be either charged impurity scattering or defect scattering based on Boltzmann diffusive ...governing scattering should be the defect ...
6
The Echo Modelling and Simulation of the Semi Active Radar Seeker against a Sea Skimming Target
... is based on the electromagnetic scattering ...Four-path model based on the radar detection scene is used to de- scribe the multipath scattering between the target and rough sea ...the ...
6
Early atomic models from mechanical to quantum (1904 1913)
... in scattering and absorption led to quantitative predictions that were confirmed by experiments with high-‐velocity electrons traversing thin sheets of ...their scattering eventually allowed him to infer ...
61
Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs.
... the model hydrometeor state with radar reflectivity ...simplified based on the fitting results between model simulation and radar ...intercept parameter N 0 is ...
192
Incorporating covariates in skewed functional data models
... accurate estimates/prediction than using a stepwise procedure (two-step cSFM), even the penalized splines with REML-based smoothing parameters selection is applied to estimate the mean at the first step. The ...
23
Parameter Identifiability and Parameter Estimation of a Diesel Engine Combustion Model
... of model to predict system behavior in order to make technical choices or to understand its functioning has become very important during the last ...phenomenological model has been ...combustion ...
7
Model for repair urgency in RC structure using NDT data
... As explicit relation between the variety of condition assessment data and the corresponding repair urgency cannot be achieved and also implicit functions are also difficult to develop. Hence a rational formulation for ...
5
Concept drift in web based IDS : evaluating current capabilities & future challenges
... anomaly based IDS and test the Adaptive Learning efficiency, we had to develop a realistic learning ...a model structure to be used for the Response Modeling, we built our own based on the work ...
54
Research on Smart Home Energy Management Algorithm Based on Cloud Environment
... consumption model parameters by gradient descent method: (1) Data preprocessing, energy consumption of raw data analysis, data grouping, feature extraction and normalization operation, finally obtained the ...
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Multistep ahead River Flow Prediction using LS SVR at Daily Scale
... to model the daily variation of river ...The model development is carried out with pre-construction flow regime and its performance is checked for both pre- and post-construction of the dam for any ...
12
Bayesian Approach in Estimation of Shape and Scale Parameter of Log-Weibull model
... The convergence pattern can be studied by calculating the running mean which is the mean of all sampled values up to and including that at a given iteration. We thus generate a time series(Iteration number) graph of the ...
12
Application of Soil and Water Assessment Tool Model to Estimate Runoff and Sediment Yield from Mojo Watershed
... to model calibration parameter sensitivity analysis was done using the SUFI2 global sensitivity methods, for the whole catchment ...were based on a review of calibration parameters used in past ...
11
Quality of School Exam Tests Based on Item Response Theory
... but based on observations so far it has been shown that until now there has not been an analysis of items using item response theory approaches, especially in elementary school exam ...theory based analysis ...
9
Simultaneous computation of model order and parameter estimation for ARX model based on multi swarm particle swarm optimization
... SMOPE was proposed to address system identification problem efficiently using meta-heuristics algorithms [6]. The technique enabled the computation of model order and parameters values to be done concurrently. ...
6
Identifying local dependence with a score test statistic based on the bifactor 2-parameter logistic model
... response model (Samejima, 1969 ...original model. In contrast, because graded response model has more than one threshold, there are complications in generalizing the threshold shift ...
29
Fast Gait Parameter Estimation for Frontal View Gait Video Data Based on the Model Selection and Parameter Optimization Approach
... gait parameter estimation model for the human gait video ...our model is able to estimate the gait parameters by stably at low calculation ...
6