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Search Results: 1 - 10 of 402600 matches for " M. Aliyari Sh. "
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Stable Direct Adaptive Control as Nonlinear Hybrid Controller for Flexible Manipulator
M. Naeimi,M. Teshnehlab,M. Aliyari Sh,M. Aliasghary
Journal of Applied Sciences , 2009,
Abstract: Stable direct adaptive control has been developed in this study to control the flexible motion of a single-link robotic manipulator. The controller has been designed based on a simplified model of the arm, which only accounts for the first elastic mode of the beam. The controller consists of three parts: linear feedback, a nonlinear sliding mode (SMC) and an adaptive Fuzzy-Neural Network (FNN) controller.
Load Frequency Control in Interconnected Power System Using Multi-Objective PID Controller
K. Sabahi,A. Sharifi,M. Aliyari Sh.,M. Teshnehlab
Journal of Applied Sciences , 2008,
Abstract: In this study, designing of multi-objective (MO) proportional, integral and derivative (PID) controller for load frequency control (LFC) based on adaptive weighted particle swarm optimization (AWPSO) has been proposed. Unlike single objective optimizations methods, MO optimization can find different solutions in a single run and we can select appropriate and desirable solution based on valuation to the objects. In this study for PID controller design, overshoot/undershoot and settling time are used as objective functions for MO optimization in LFC problem. So that various solutions with different overshoot/undershoot and settling time obtained. From these different PID parameters, one can select a single solution based on valuation to objects and as well as system constraints, reliability etc. The proposed method is used for designing of PID parameters for two area interconnected power system. From the simulation results, efficiency of proposed controller design can be seen.
Hybrid Control of Magnetic Levitation System Based-on New Intelligent Sliding Mode Control
M. Aliasghary,M. Teshnehlab,A. Jalilvand,M. Aliyari Shoorehdeli
Journal of Applied Sciences , 2008,
Abstract: This study has developed classical and hybrid controllers for control of magnetic levitation system. Sliding mode and PID controllers are proposed as a classical controllers and neural network based controller is used for controlling a magnetic levitation system. Adaptive neural networks controller needs plant`s Jacobain, but here this problem solved by sliding surface and generalized learning rule in case to eliminate Jacobain problem. The simulation results show that these methods are feasible and more effective for magnetic levitation system control.
Effects Of Treatment With Radioactive Iodine On Gonadal Functions In Patients With Differentiated Thyroid Cancer
Fard Esfahani A,Eftekhari M,Aliyari Zenooz N,Saghari M
Tehran University Medical Journal , 2004,
Abstract: Background: The purpose of this study was to evaluate the effect of treatment with radioactive iodine on the function of gonads in males and females with follicular and papillary thyroid carcinoma. Materials and Methods: Consenting patients in the reproductive age were grouped according to the cumulative dose of received radioiodine and followed for at least 12 months. For all men, serum levels of FSH, LH, and testosterone were measured; some (53 cases) were also studied by semen analysis. For women, tests for serum levels of LH, FSH, estrogen, and progesterone were performed. Results: Overall, 246 patients (159 females, 87 males) were studied. In 87.4% of men, there was an increase in serum FSH level after radioiodine therapy, in 20.7% of whom the level remained high during follow-up period. The average serum level of FSH after each course of treatment was significantly higher than the level before treatment (p<0.01), and there was a meaningful correlation with the cumulative dose of received iodine (p<0.001). Reduced number of sperms was shown in 35.8% of male patients, among whom 73.7% also showed reduced motility. In 36.8% of the patients with reduced sperm number (13.2% of the total), this finding was persistent during the follow-up period. Increased level of FSH was correlated with reduced sperm counts in all doses (p
Gaussian Radial Basis Adaptive Backstepping Control for a Class of Nonlinear Systems
F. Farivar,M. Aliyari Shoorehdeli,M.A. Nekoui,M. Teshnehlab
Journal of Applied Sciences , 2009,
Abstract: This study proposes a Gaussian Radial Basis Adaptive Backstepping Control (GRBABC) system for a class of n-order nonlinear systems. In the neural backstepping controller, a Gaussian radial basis function is utilized to on-line estimate of the system dynamic function. The adaptation laws of the control system are derived in the sense of Lyapunov function, thus the system can be guaranteed to be asymptotically stable. The proposed GRBABC is applied to two nonlinear chaotic systems which have the different order to illustrate its effectiveness. Simulation results verify that the proposed GRBABC can achieve favorable tracking performance by incorporating of GRBFNN identification, adaptive backstepping control techniques.
Hybrid Control of Flexible Manipulator
F. Farivar,M. Aliyari Shoorehdeli,M. Teshnehlab,M.A. Nekoui
Journal of Applied Sciences , 2009,
Abstract: This study describes hybrid control methods to control a flexible manipulator with payload. The dynamic equation of the system has been derived by Lagrange`s method. The designed controllers consist of two parts, classical controllers, PID and Linear Quadratic Regulation (LQR) and hybrid controllers, Fuzzy Neural Network (FNN) controller with Feedback Error Learning (FEL) and Sliding mode control using Gaussian Radial Basis Function Neural Network (RBFNN). The fuzzy neural network and radial basis function neural network are trained during control process and they are not necessarily trained off-line.
Preparation and Characterization of ZnO: In Transparent Conductor by Low Cost Dip Coating Technique  [PDF]
Sh. El Yamny, M. Abdel Rafea
Journal of Modern Physics (JMP) , 2012, DOI: 10.4236/jmp.2012.39140
Abstract: Transparent conducting oxide (TCO) based on indium doped zinc oxide films in the nano scale were successfully prepared using combination between dip coating and thermal decomposition process. Structural investigations confirm the polycrystalline ZnO hexagonal wurtzite phase grown along the c-axis with nano crystallite size about 10 nm. Morphology investigation shows that ZnO films consist of fine grains of average size 40 nm. This indicates that each grain contains several crystallites with different orientations. Cross sectional image presents good adhesion of the films with the substrate and the film thickness has been determined. Compositional analysis detects the indium content in the host ZnO matrix, the In/Zn ratio is close to the calculated concentration ratios of the precursor. The optical transmittance shows that the films are transparent in the UV and VIS-IR spectral region and interference fringes were observed to be thickness dependent. Preparation parameters were investigated and optimized such as dipping rate, number of deposition cycles, precursor concentration, annealing process and In/Zn ratio. Optimization process was investigated for low resistivity, high optical spectral window transmission and easy preparation process. Dipping rate in the range 2 - 38 mm/s is the most suitable range for good film quality while dipping rate range 30 - 38 mm/s produces thicker films in lower deposition cycles. The higher dipping rate produces films with lower transparency (milky films) while the small deposition rate rate requires large number of deposition cycles in order to increase the thickness. Besides, the higher dipping rate reflects lower resistivity of the deposited films. Precursor molar concentration was observed to have an essential effect on the film thickness, film quality and transparency. Lower precursor concentration requires also large number of deposition cycles for thickening the films. The higher concentration results also milky films (high scattering process by powder film). Precursor concentrations in the range 0.7 - 0.9 mol/liter were found to be the optimal for better quality and for faster deposition process. The resistivity of the films has been reduced from the range 1.5 - 2.5 kW?cm to the range 100 - 400 W.cm as the molar concentration reaches the range 0.07 - 0.09 mol/liter. The resistivity of films increases from 330 to 1686 .cm as the decomposition temperature increases from 200
Global Analysis of Solutions of a New Class of Rational Difference Equation  [PDF]
O. Moaaz, E. M. Elabbasy, Sh. Alsaeed
American Journal of Computational Mathematics (AJCM) , 2017, DOI: 10.4236/ajcm.2017.74036
Abstract: The study suggests asymptotic behavior of the solution to a new class of difference equations: \"\". where a, bi, α and β are positive real numbers for i = 0, 1, · · · , k , and the initial conditions ψ-j, ψ-j+1, · · ·, ψ0 are randomly positive real numbers where j = 2k + 1. Accordingly, we consider the stability, boundedness and periodicity of the solutions of this recursive sequence. Indeed, we give some interesting counter examples in order to verify our strong results.
"Quantitative evaluation of normal uptake of mandibular condyle in bone scan with Tc 99m-MDP "
"Eftekhari M,Mohammadi Yekta H,Aliyari Zenooz N,Fard Esfahani A
Iranian Journal of Nuclear Medicine , 2001,
Abstract: Unilateral condylar hyperplasia is the main cause of mandibular asymmetry. Radionuclide bone scanning is a useful procedure for functional evaluation of temporomandibular joint. In this study, 39 patients with normal bone scan and no facial asymmetry were studied. All patients were below 22 years of age. Normal condylar uptake was determined in this group of patients. Right & left condylar uptakes were not completely identical and some difference (Below 10%) between right and left condylar uptake was seen. No significant difference in condylar uptake in male & female patients were observed (P=0.26, α=0.05).
On the Convergence of the Mean Shift Algorithm in the One-Dimensional Space
Youness Aliyari Ghassabeh
Computer Science , 2014, DOI: 10.1016/j.patrec.2013.05.004
Abstract: The mean shift algorithm is a non-parametric and iterative technique that has been used for finding modes of an estimated probability density function. It has been successfully employed in many applications in specific areas of machine vision, pattern recognition, and image processing. Although the mean shift algorithm has been used in many applications, a rigorous proof of its convergence is still missing in the literature. In this paper we address the convergence of the mean shift algorithm in the one-dimensional space and prove that the sequence generated by the mean shift algorithm is a monotone and convergent sequence.
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