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318 results for “accurate method”
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Research ArticleOpen accessIn the abstractSwarm Negative Selection Algorithm for Electroencephalogram Signals ClassificationNasser Omer Sahel Ba-Karait, Siti Mariyam Shamsuddin, Rubita SudirmanProblem statement: The process of epilepsy diagnosis from EEG signals by a human scorer is a very time consuming and costly task considering the large number of epileptic patients admitted to the hospitals and the large amount of data needs to be scored. Therefore, there is a strong need to automate this process. Such automated systems must rely on robust … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractExponential-Hyperbolic Model for Actual Operating Conditions of Three Phase Arc FurnacesMahdi Banejad, Rahmat-Allah Hooshmand, Mahdi Torabian EsfahaniProblem statement: The Electric Arc Furnace (EAF) is a non-linear load and creates power quality related problem. Therefore, accurate modeling of the EAF is essential. Approach: In this study, an optimal model for EAF in time domain called exponential-hyperbolic, was proposed to describe the behavior of the EAF for all of the operating conditions and it does not need the … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Position Controller for a Permanent Magnet Synchronous ActuatorChams-Eddine Feraga, Abdelkrim Moussaoui, Abdallah Bouldjedri, Ali YousfiProblem statement: The present study investigated with the application of a robust control scheme to improve the performance of a simplified indirect field oriented for small power surface mounted Permanent Magnet (PM) synchronous actuators. Approach: The suggested model was implemented using a simplified state feedback with no need to measure the current values to compute the control algorithm. Results: The … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Integration (Image and Text) Using Ontology AlignmentAhmad Adel Abu Shareha, Mandava Rajeswari, Dhanesh RamachandramProblem statement: This study proposed multimodal integration method at the concept level to investigate information from multimodalities. The multimodal data was represented as two separate lists of concepts which were extracted from images and its related text. The concepts extracted from image analysis are often ambiguous, while the concepts extracted from text processing could be sense-ambiguous. The major problems that … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 6,633 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistillation and Microdiffusion Modifications for total Nh4f Quantification and 15N RecoveryGaius D. Eudoxie, Gregory A. GouveiaProblem statement: Applying 15N techniques to accurately determine the fate of fixed ammonium (NH4f) in the strongly and weakly held pools require modifications to existing methodologies. Modifications are necessary for measurement of total NH4f in soils by direct digestion with 5 M HF: 1 M HCl, excluding alkali pretreatment, followed by distillation and quantification of NH4. Quantification by distillation was … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 4 · 31 Dec 2008 · 7,593 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlow Simulation in Engine Cylinder with Spring MeshM.H. Shojaeefard, A.R. NoorpoorThis investigation presents results from numerical simulation of the air flow in Spark Ignition Engine (SI engine) cylinder. Accurate modeling of the flow in cylinder is a key part of successful combustion simulation. The most usual numerical method in Computational Fluid Dynamics (CFD) is finite volume. In this investigation an important, common fluid flow patterns in CFD simulations, namely, Tumble … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,065 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransient Stability Assessment of a Power System Using Probabilistic Neural NetworkNoor Izzri Abdul Wahab, Azah MohamedThis study presents transient stability assessment of electrical power system using Probabilistic Neural Network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on the system. The data … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecent Sedimentation Rate and Sediment Ages Determination of Kemaman-Chukai Mangrove Forest, Terengganu, MalaysiaB.Y. Kamaruzzaman, M.C. OngTwo 20 cm sediment cores were collected with a D-section corer in the Kemaman-Chukai mangrove forest and analyzed for 210Pbex (excess 210Pb) in order to understand the sedimentation pattern. The activities of 210Pb along with the 208Po tracer were measured by Alpha Spectrometry on a silicon surface barrier detector connected to a multi channel analyzer. Sedimentation rates were determined applying … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 3 · 30 Sep 2008 · 9,305 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Implementation of Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy TechniqueS. Murugavalli, V. RajamaniImplementation of a neuro-fuzzy segmentation process of the MRI data is presented in this study to detect various tissues like white matter, gray matter, csf and tumor. The advantage of hierarchical self organizing map and fuzzy c means algorithms are used to classify the image layer by layer. The lowest level weight vector is achieved by the abstraction level. We … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,112 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Probability Density Function of the Test Statistic for One Nonlinear GLR Detector Arising from fMRIFangyuan NanRecently an important and interesting nonlinear generalized likelihood ratio (GLR) detector emerged in functional magnetic resonance imaging (fMRI) data processing. However, the study of that detector is incomplete: the probability density function (pdf) of the test statistic was draw from numerical simulations without much theoretical support and is therefore, not firmly grounded. This correspondence presents more accurate (asymptotic) closed form … …Journal of Mathematics and Statistics, Vol. 3, Issue 2 · 30 Jun 2007 · 7,108 accessesView PDFCite