A method for digital image restoration, based on the algorithm of Lagrange multipliers, has many practical applications. We apply the method to remove blur in an image caused by uniform linear motion. This method assumes that linear motion corresponds to an integral number of pixels. The main contributions of the method were found on the Improvement in Signal to Noise Ration (ISNR) that have be...

In this paper, a computationally simple approach is proposed for order reduction of large scale linear dynamic MIMO (Multi input-Multi output) system using Artificial Bee Colony (ABC) optimization algorithm. The method is based on minimization of the Integral square error (ISE) between the transient responses of original and reduced order models pertaining to unit step input. The reduction proc...

Combining moving least square approximations and boundary integral equations, a meshless Galerkin method, which is the Galerkin boundary node method (GBNM), for twoand three-dimensional infinite elastic solid mechanics problems with traction boundary conditions is discussed. In this numerical method, the resulting formulation inherits the symmetry and positive definiteness of variational proble...

This paper deals with video segmentation based on motion and spatial information. Classically, the nucleus of the motion term is the motion compensation error (MCE) between two consecutive frames. Defining a motion-based energy as the integral of a function of the MCE over the object domain implicitly results in making an assumption on the MCE distribution: Gaussian for the square function, Lap...

Matlab-SIMULINK based real time temperature control of oven using different kinds of auto-tuning PID (Proportional-Integral-Derivative) methods is presented in this paper. Ziegler Nichols Step Response Method (P,PI), Relay Tuning Method (P,PI) and Integral Square Time Error (ISTE) disturbance criterion (PI) method are used to control temperature of the experiment set. Controller parameters are ...

This paper presents an application of Artificial Neural Network (ANN) and Genetic Algorithm (GA) for system identification for controller tuning in a pH process. In this paper, the ANN based approach is applied to estimate the system parameters. Once the variations in parameters are identified frequently, GA optimally tunes the controller. The simulation results show that the proposed intellige...

In this article‎, ‎a new scheme inspired from collocation method is‎ ‎presented for numerical solution of stiff initial-value problems and Fredholm integral equations of the first kind based on the derivatives of residual function‎. ‎Then‎, ‎the error analysis‎ ‎of this method is investigated by presenting an error bound‎. ‎Numerical comparisons indicate that the‎ ‎presented method yields accur...

A stable adaptive controller is developed for a class of non-linear multivariable systems using nonlinearly parametrized function ap-proximators. By utilizing the system triangular property, integral-type Lya-punov functions are introduced for deriving the control structure and adap-tive laws without the need of estimating the “decoupling matrix” of themultivariable nonlinea...

We study the finite temperature properties of an effective chiral Lagrangian which describes nuclear matter. Thermal fluctuations in both the nucleon and the meson fields are considered. The logarithmic and square root terms in the effective potential are evaluated by expansion and resummation with the result written in terms of the exponential integral and the error function, respectively. In ...

In this paper, an In Vitro Fertilization Genetic Algorithm with real coding, a stochastic optimization method theoretically supported by Mendel's laws of inheritance, Darwin's selection theory and Edward's principles of assisted reproduction are presented. The proposed algorithm is used in gain tuning of the Proportional-Integral-Derivative type controllers applied on the voltage regulation of ...