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200 results for “Error Analysis”

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Research ArticleOpen accessIn the abstractSimultaneous Presence of Growth and Remodeling in the Bone Adaptation TheorySeyyed Amir Hooshiar Ahmedi, Gholamreza Rouhi, Hamidreza Katouzian, Seyyed Ali Hooshiar AhmediMechanical forces acting on bone during growth affect their final shape and strength. Mechanoregulation of bone growth is maybe recognized in embryogenesis, and also in the adaptation of the adult skeleton to changes in mechanical loading. By combining equations describing bone remodeling and growth with an iterative finite element analysis, a computational model to simulate the simultaneous effects of bone … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractPower Enhancement of Weightlifters during Snatch through Reducing Torque on Joints by Particle Swarm OptimizationFirooz Salaami, Nima Jamshidi, Mostafa Rostami, Siamak NajarianIn this research, an athlete's body on sagittal plane in tension phase of snatch weightlifting has been modeled in two dimensions for calculating the generated torques in joints. The error back propagation multi-layer perceptrons has been used for modeling the torque through changing the angular velocity, angular acceleration and absolute angle of each segment. Finally, the torque in joints has … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 7,101 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Set of RST Moment InvariantsKhalid M. HosnyMoment invariants are widely used in image processing, pattern recognition and computer vision. Several methods and algorithms have been proposed for fast and efficient calculation of moment's invariants where numerical approximation errors are involved in most of these methods. In this paper, an optimized set of moment invariants with respect to rotation, scaling and translation is presented. An accurate method … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,069 accessesView PDFCite
Research ArticleOpen accessIn the abstractExponential Smoothing Method of Base Flow Separation and Its Impact on Continuous Loss EstimatesGurudeo Anand Tularam, Mahbub IlaheeThe calculation of loss is vital for design flood estimation models and in order to estimate continuing loss (CL), proportional loss (PL) and volumetric runoff coefficient, the surface runoff has to be separated from the total given in a stream flow hydrograph. To obtain the volume of surface runoff from the streamflow hydrograph, baseflow separation becomes necessary and in this … …American Journal of Environmental Sciences, Vol. 4, Issue 2 · 30 Apr 2008 · 8,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrimary Pollutants Monitoring and Modeling Using Chemical Mass Balance (CMB) Around Fahaheel Residential AreaS. M. Al-Salem, A. A. Al-Haddad, A. R. KhanFour major sources of air pollution were identified and modeled using Chemical Mass Balance (CMB) around a residential area. The sources were identified as MAA refinery, downtown area, upstream facilities and main highway road. The sources were analyzed using a series of concentration roses (unfiltered and filtered) executed from the data collected. Data collected included primary and secondary pollutants levels … …American Journal of Environmental Sciences, Vol. 4, Issue 1 · 29 Feb 2008 · 6,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractSplitting Technique Initialization in Local PCAAlok Sharma, Kuldip K. Paliwal, Godfrey C. OnwuboluThe local Principal Component Analysis (PCA) reduces linearly redundant components that may present in higher dimensional space. It deploys an initial guess technique which can be utilized when the distribution of a given multivariate data is known to the user. The problem in initialization arises when the distribution is not known. This study explores a technique that can be easily … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractUse of the Chi-square Test to Determine Significance of Cumulative Antibiogram DataRocco J. Perla, James CarifioAn important function of a hospital’s Infectious Disease and Pharmacy programs is to review and compare the most recent antibiogram with that of the previous year to determine if significant changes in antibiotic susceptibility results are noted and to communicate this information and its consequences to the medical staff. However, there are currently no formal analytical (decision-making) models in use … …American Journal of Infectious Diseases, Vol. 1, Issue 4 · 31 Dec 2005 · 7,279 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrade-GDP Nexus in Iran: An Application of the Autoregressive Distributed Lag (ARDL) ModelMosayeb Pahlavani, Ed Wilson, Andrew C. WorthingtonThis study employed annual time series data (1960-2003) and unit root tests with multiple breaks to determine the most likely times of structural breaks in major factors impacting on the trade-GDP nexus in Iran We found, inter alia, that the endogenously determined structural breaks coincided with important events in the Iranian economy, including the 1979 Islamic revolution and the outbreak … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 8,516 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparative Computational Efficiency Analysis of LSB and Hybrid Steganographic MethodsDivya Sharma, Chander PrabhaElectronic Medical Images (EMI) are of various types such as X-rays, CT scans, MRIs, etc. EMIs are generally large, but they vary in dimensions and sizes based on the body part to which they belong. Not much research has been done to secure EMIs due to their varied and large sizes, while ensuring their accessibility for real-time transmission. Where access … …Journal of Computer Science, Vol. 21, Issue 10 · 28 Nov 2025 · 2,458 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalysis of Artificial Neural Network Point Forecasting Models and Prediction Intervals for Solar Irradiance EstimationAntônio Fabrício Guimarães de Sousa, Helaine Cristina Moraes Furtado, Wilson Negrão Macêdo, Anderson Alvarenga de Moura MenesesAn accurate knowledge on solar irradiance prediction is particularly required for proper development and planning of Photovoltaic (PV) energy systems. The main purpose of the present research is to assess the accuracy of Artificial Neural Networks (ANN) short-term forecast of univariate solar irradiance time series, with conventional point prediction and Prediction Intervals (PIs), comparing models. The Lower Upper Bound Estimation … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 17 Jul 2020 · 7,440 accessesView PDFCite