39 results for “Least Square Method”

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Research ArticleOpen accessIn the abstractDepth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution MethodM. G.E. Dawi, Liu Tianyou, Shi Hui, Luo DapengEuler deconvolution method is the method of depth estimation which is best suited for anomalies caused by isolating and multiple anomalous sources. In the present study, algorithmic programs based on generalizing linear inverse theory, uses a least square sense to solve for Euler’s equation is being written. The Euler technique that can estimate the location of a simple body from … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 7,461 accessesView PDF Cite

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 · 8,289 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIterative Channel Estimation Algorithm in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing SystemsMona Nasseri, Hamidreza BakhshiProblem statement: The objective of this study is improving channel estimation accuracy in MIMO-OFDM system because channel state information is required for signal detection at receiver and its accuracy affects the overall performance of system and it is essential to improve the channel estimation for more reliable communications. MIMO-OFDM system was chosen in this study because it has been widely … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 8,303 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRobust Speech Recognition Using Fusion Techniques and Adaptive FilteringS. A.R. Al-Haddad, S. A. Samad, A. Hussain et al.The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,999 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimization of Reservoir Operation Using Combined Genetic Algorithm and Wavelet Transform MethodL. Ebrahimi, G.A. Barani, H. EbrahimiDams construction are high cost projects, and therefore, optimal using of reservoir storages behind dams is an important task in water resources management. In last decades, various optimization techniques have been used for reservoir operation. Among the new methods, Genetic Algorithm (GA) and wavelet transform (WT) have been widely used in recent years. In this study, GA as well as … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 3 · 30 Sep 2007 · 7,514 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEmbedded Computer Based Active Vibration Control System for Vibration Reduction of Flexible StructuresVenkata Ratnam Tatavolu, Seetha Ramaiah PanchumarthyResearch on Active Vibration Control System (AVCS) is being carried out to reduce structural vibrations caused by unwanted vibrations in many application areas such as in space, aircraft structures, satellites, automobiles and civil structures (bridges), particularly at low frequencies. The unwanted vibration may cause damage to the structure or degradation to the structure’s performance. The AVCS comprises physical plant, a … …Journal of Computer Science, Vol. 9, Issue 7 · 15 Jun 2013 · 6,555 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordOn Multiresponse Semiparametric Regression ModelSri Haryatmi, I. Nyoman Budiantara, Wahyu WibowoThe modeling between predictors and response in statistics sometimes deals with more than one response or multiresponse situation. Furthermore, it can be happen that some predictors have linear relationship with the responses and the others predictor have unknown relationship. To overcome this modeling problem we proposed multiresponse semiparametric regression model. This model has more than one response and contains both … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 20 Feb 2013 · 7,071 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordTruncated Estimate in Log-Binomial Model: Algorithm and SimulationLuyan Dai, Yang Li, Ye ShenProblem statement: Relative risk has concrete meanings of comparing two groups and measuring the association between exposures and outcomes in medical and public health studies. Log-binomial model, using a log link function on binary outcomes, is straightforward to estimate risk ratios, whereas generates boundary problems. When the estimates are located near the boundary of constrained parameter space, common approaches or … …Current Research in Biostatistics, Vol. 2, Issue 1 · 7 May 2012 · 8,294 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordShort-Term and Medium-Term Load Forecasting for Jordan's Power SystemI. Badran, H. El-Zayyat, G. HalasaSeveral electric power companies are now forecasting electric loads based on conventional methods. However, since the relationship between loads and factors influencing these loads is nonlinear, it is difficult to identify its nonlinearity by using conventional methods. Most of papers deal with 24-h-ahead load forecasting or next day peak load forecasting. These methods forecast the demand power by using forecasted … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 7,083 accessesView PDF Cite