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8 articles for “SDM”
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Research ArticleOpen accessIn the keywordsPerformance Comparison of Three-Phase Shunt Active Power Filter AlgorithmsMoleykutty George, Kartik Prasad BasuThe usage of parallel converters is ever increasing. However, the voltage and current harmonics, zero-sequence and negative- sequence components of voltage and current and reactive power present in parallel converters give an alarming signal to power system and power electronic engineers. This research discusses performance of three-phase shunt active power filter (APF) system using three different control techniques namely synchronous … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,810 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThree-Phase Shunt Active Power FilterMoleykutty George, Kartik Prasad BasuActive power filters have been widely used for harmonic elimination. The performance of a conventional three-phase shunt Active Power Filter (APF) using Synchronous Detection Method (SDM) has been compared with Nonlinear Autoregressive-Moving Average (NARMA)-L2 based APF. The novelty of this study lies in the application of NARMA-L2 control to generate the amplitude of the reference supply current required by the … …American Journal of Applied Sciences, Vol. 5, Issue 8 · 31 Aug 2008 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNew Proposed Second-Order ASDM Using OTAsFarouq M. Al TaweelIn this work, we present a new proposal for the second-order Adaptive Sigma Delta Modulation (ASDM). The new proposed Adaptation scheme is based on using Operational Transconductance Amplifier (OTAs) as an Integrator and as an Amplifier to adapt the quantizer step-size to control the voltage gain by feedback the quantizer output through adaptation scheme. The step-size is changing up or … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Feb 2006 · 6,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractMAXIMUM LIKELIHOOD ESTIMATION FOR SPATIAL DURBIN MODELRokhana Dwi Bekti, Anita Rahayu, SutiknoSpatial Durbin Model (SDM) is one method of spatial autoregressive. This model was developed because the dependencies in the spatial relationships not only occur in the dependent variable, but also on the independent variables. In the assessment of parameter estimation, the process is carried out by Maximum Likelihood Estimation (MLE). This estimation can be approximation by Spatial Autoregressive Models (SAR). … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 15 Jun 2013 · 8,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Durbin Model to Identify Influential Factors of DiarrheaRokhana Dwi Bekti, SutiknoProblem statement: An analysis of regression modeling which influenced by the characteristics of the region is very important. That modeling is the spatial autoregressive model. One type of spatial autoregressive model is a Spatial Durbin Model (SDM), which performs a lag effect of the dependent and independent variables. This model was developed because the dependencies in the spatial relationships doesn’t … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 13 Oct 2012 · 8,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractKey Performance Indicators Supporting Decision-Making Affecting Malaysian Enterprise' Project Performance in ChinaAbdullah Bin Ibrahim, Wu Jing, Da WengeProblem statement: Nowadays, Improving decision-making to define a group of strategic objectives and associated Performance Indicators (KPIs) are has become one of the critical issues for practices relating to scope management gaining competitive advantages. Approach: This study focus on validate KPI supporting decision-making for sustainability appraisal in projects management for Malaysian Architectural, Engineering and Construction (AEC) enterprises in China. Results: … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 7,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Mean Estimation using Stratified Double Median Ranked Set SamplingMahmoud Ibrahim Syam, Amer Ibrahim Al-Omari, Kamarulzaman IbrahimStratified Double Median Ranked Set Sampling (SDMRSS) method is suggested for estimating the population mean. The SDMRSS is compared with the Simple Random Sampling (SRS), Stratified Simple Random Sampling (SSRS) and Stratified Ranked Set Sampling (SRSS) methods. It is shown that SDMRSS estimator is an unbiased of the population mean and is more efficient than the SRS, SSRS and SRSS … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Volterra's Population Model Using New Second Derivative Multistep MethodsK. Parand, G. HojjatiIn this study new second derivative multistep methods (denoted SDMM) are used to solve Volterra's model for population growth of a species within a closed system. This model is a nonlinear integro-differential where the integral term represents the effect of toxin. This model is first converted to a nonlinear ordinary differential equation and then the new SDMM, which has good … …American Journal of Applied Sciences, Vol. 5, Issue 8 · 31 Aug 2008 · 6,908 accessesView PDFCite