Search Results - (( parameter estimation based algorithm ) OR ( basic estimation using algorithm ))
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1
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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Simultaneous Computation of Model Order and Parameter Estimation of a Heating System Based on Gravitational Search Algorithm for Autoregressive with Exogenous Inputs
Published 2015“…In this paper, an approach termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is basically based on Gravitational Search Algorithm (GSA), is proposed to combine these two parts into a simultaneous solution. …”
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3
Power System State Estimation In Large-Scale Networks
Published 2010“…The developed program is suitable either to estimate the UPFC controller parameters or to estimate these parameter values in order to achieve the given control specifications in addition to the power system state variables.…”
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4
An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data.
Published 2011“…Maximum likelihood estimation (MLE) method is proposed to estimate the parameters within the framework of expectation-maximization (EM) algorithm, Newton Raphson method also employed. …”
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5
An investigation of structural breaks on spot and futures crude palm oil returns
Published 2011“…In contrast to the spot crude palm oil findings, the futures crude palm oil exhibits a lower persistency estimation when structural changes are considered. The results support the importance of structural breaks in this volatility clustering estimation, and failure to do so may lead to bias persistency parameter estimation.…”
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Particle-based perception of garment folding for robotic manipulation purposes
Published 2023Article -
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Sensorless induction motor speed control for electric vehicles using enhanced hybrid flux estimator with ann-ifoc controller
Published 2022“…The hyperparameters of ANNs, such as weights and biases, were randomly initialised and updated using the backpropagation (BP) algorithm in order to increase the convolution of the ANNs. …”
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IoT based IMU sensor network for human arm pose estimation / Jahangir Hassan Khan
Published 2019“…The Forward Kinematics approach has great advantage such as being easy to program and its faster computational speed, as compared to the conventional arm pose estimation algorithms. By using the developed arm pose tracking program, several important parameters such as positions of the elbow and wrist with reference to the shoulder joint, moving distance, angular movement speed and movement pattern of arm are successfully measured and estimated. …”
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Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian
Published 2009“…The application of orthogonal decomposition method using Householder transformation (refer to section 3.3) is used to solve the least-squares problem in power system state estimation. …”
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11
Speech recognition system using MATLAB : design, implementation, and samples codes
Published 2011“…The HMM parameters are estimated by applying the Baum Welch algorithm on previously trained samples. …”
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Statistical process control for failure crushing time data using competing risks model
Published 2011“…A competing risks model identifies the set of possible failed components given the true cause of failure. EM algorithm method is used to estimate the parameter of the model. …”
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The contribution of this work is to optimize the base of Fuzzy membership function of the APFLC by using GA technique. …”
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Statistical process control for failure crushing time data using competing risks model.
Published 2011“…A competing risks model identifies the set of possible failed components given the true cause of failure. EM algorithm method is used to estimate the parameter of the model. …”
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Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach
Published 2010“…Structure and network weights for the NF model are determined by a synergetic approach – Data clustering and Gradient Descent algorithm. Operation data collected in 10 seconds interval and for one day is used for model training and validation. …”
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Surface and Near-surface Moisture Content Assessment using Multi-Temporal Satellite Images over Perak Tengah and Manjung Regions, Malaysia
Published 2013“…In order to generate the moisture maps, “Universal Triangle” algorithm was used for NOAA/AVHRR based on land Surface Temperature (Ts) and the Normalized Difference Vegetation Index (NDVI) extracted from images beside field measurements of θ. θ also estimated from MODIS through the extraction of soil wetness index (SWI) which is a sensitive parameter that controls the mechanism of land surface and the processes at the atmosphere. …”
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Image watermarking optimization algorithms in transform domains and feature regions
Published 2012“…A series of training patterns are constructed by employing between two images.Moreover,the work takes accomplishing maximum robustness and transparency into consideration.HPSO method is used to estimate the multiple parameters involved in the model. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…A computationally simple two-step iterative algorithm, called estimationapproximation algorithm, is introduced for estimating the parameters of the model on the basis of the rank estimators. …”
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Gravitational energy harvesting system based on multistage braking technique for multilevel elevated car parking building
Published 2020“…Thirdly, modeling of electrical and mechanical parameters for the presented system such that the system performance matching the model, this process is performed by using a parameter optimization algorithm. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…In this work, three new estimation-based metaheuristic algorithms are introduced. …”
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