Vol. 2 No. 2 (2005)
Articles
Abstract: In this paper we have modified a new extended generalized conjugate gradient steps with self-scaling variable metric updates for unconstrained optimization. The new proposed algorithm is based on the inexact line searches and it is examined by using different non-linear test functions with various dimensions.
Abstract: This paper introduces the notion of maximal GP-ideal .We studied the class of rings whose maximal left ideal are right GP-ideal. We call such ring MRGP-rings. We consider a necessary and sufficient condition for MRGP-rings to be MRCP-rings. We also study the connection between MRGP-ring, kasch ring, division ring and the strongly regular ring.
Abstract: The recent measure function of Byrd and Nocedal [3] is considered and simple proofs of some its properties are given. It is then shown that the AL-Bayati (1991) formulae satisfy a least change property with respect to this new measure .The new formula has any extended positive definite matrix of Brouden Type-Updates.
Abstract: In this project, a simple model of the client/server relational database has been designed through using the idea of the SQL (Structure Query Language) server, and the single file of the database by the Micro software Access 2000. We also configure the TCP/IP (Transform Control Protocol/Internet Protocol) to make connection between two computers, on one of these computers, Windows 2000 NT Adv. Sever has been installed, and which is considered to be the server computer, and the other installed by the Windows NT XP Professional as the client computer. Finally, a normal security environment must be built to protect the information, or data-in-motion between two computers in order to increase the level of security to an acceptable level.
Abstract: The objective of this paper is to construct numerical schemes using finite difference methods for the one-dimensional general hyperbolic- parabolic- reaction problem. The finite difference method with the exponential transformation form is used to solve the problem, and employs difference approximation technique to obtain the numerical solutions. Computational examples are presented and compared with the exact solutions. We obtained that the Crank-Nicholson scheme is more accurate than Forward scheme. Therefore the form of exponential transformation for the problem yields a stable solution compared with exact solution.
Abstract: In this paper, we have investigated self-scaling sequential unconstrained minimization techniques (SUMT). Our new modified version on CG-method and QN- method shows that it is too effective when compared with other established algorithms to solve standard constrained optimization problems.
Abstract: This paper involves designing graphics model for displaying and working under Windows98 operating system called Screen Saver, which is considered as one of the most significant desktop settings. Various and multiple algorithms were used and implemented for designing Screen Saver, with the capabilities of (storing its settings within the Windows98 Registry and preventing using the computer from an unauthorized user). To perform this work, Visual C++ v6.0 and Windows98 API functions were considered as programming tools. Software was tested successfully under Windows98 operating system.
Abstract: The present study aims at construction of expert computer model for forecast of compressive strength of the Portland cement. This model is achieved by chemical data input through interface designed by matlab program. This is followed by calculation of the content of phases; namely, C3S , C2S , C3A and C4AF. Later on , connection with fuzzy logic interface were made. The formentioned phases represent the input to the fuzzy logic interface through the condition rules IF-THEN. After defuzzification, the values of cement compressive strength appeared on the interface. The evaluations were made through calculation of square difference of the results of fuzzy logic ( present study) and statistical methods.
Abstract: In this paper, we consider steady incompressible viscous flow in a symmetric thin liquid film on an inclined surface with angle b in two dimensions with no inertia force. The surface of the film is taken to be real that is there is no shear stress on the liquid surface. We found the differential equations that govern the flow. We solve these equations numerically by using Rang Kutta method.
Abstract: The aim of the project is to develop parallel approaches for both the simplex that are used in linear programming to solve linear module systems. Most of these models are time consuming when executed and processed in the sequential microprocessor computers. During the project, we try to decrease this time and increase the efficiency of the algorithm for the two methods simplex, through developing parallel methods appropriate to be executed on MIMD type computers. In this paper, three algorithms were suggested for paralleling (a developed algorithm and a comparison was made between the three algorithms and the original. This comparison is included in second section. In general, the practical results and the suggested programs for these new algorithms proved to be better in performance than their analogues that are executed in computers of sequential processor in view of the two elements of execution time and algorithm time.
Abstract: In this research, it localized structural feature selection method has been used as a base of quantifying structural changes with time for Electroencephalograms (EEG) obtained from four states two patient and two healthy with eyes open and eyes closed in both. Then these structural characteristics have been submitted to the back propagation neural network for the purpose of signal distinction by the intelligent methods. BFGS Quasi-Newton Back propagation function has been used with the data of the network. It gives good results at testing to the values of features extractions that they have not been training with, and it has been reached to the goal with minimum iteration from other common function that is used with back propagation neural network. The results for classifying EEG using back propagation neural network show that Alzheimer sick can be detected hardly 100% in many channels in case in taken EEG for the patient with eyes closed. The transformed inputs (from the original data of the signal to the features intentional in the research) are ideally suited for effective classification of EEG data. Recognition rates vary for each EEG channel data between 50-100% correct recognition in the four cases. The follow up method can be useful in several applications including time-series analysis, signal processing and speech recognition.
Abstract: In this research, we study video motion for movable object within video sequence, and the target is a ball, where video and image processing are combined together. The video files that we have here the Audio Video Interleaves (AVI) type. Here, the video frames have been are read from video file directly, then each frame is processed without the need of frames conversion into separate images. This research includes algorithm suggestion to estimate ball position in each video frame then plotting the ball motion track along the video sequence, by choosing ball initial position and creating ball-rounding window and applying the adaptable threshold to the produced window in order to obtain binary representation window. Recreational process for colors has been made to be used in the following video frame processing, than to find the center of the gravity of the ball for obtaining the predicted object position in the following frame. ActiveX Control is used to display video sequence inside MATLAB6.5 language thorough using Graphical User Interface. Also Root Mean Square Error is adopted as a measure for the adjacent position to the real position of the ball within the video sequence and the position that is found by using algorithm. The experimental results show the efficiency of the suggested algorithm to estimate the ball position accurately.
Abstract: In this research a system for Arabic word segmentation into letters and recognition has been designed by dividing it into five groups (plosives, fricatives, nasals, glide and semi-vowel sounds) based on articulatory phonetics. This system include four main stages: Stage one: Endpoint algorithm has been used to identify the beginning and the end of word. Stage two: A new segmentation algorithm has been suggested and implemented depending upon time domain features and Arabic phonology rules. Stage three: This stage includes letters feature extraction depending on linear predictive coding and system data base constructing which include vectors of features for the segmented letters from words and regarding letter recurring in different positions in the word. Stage four: Includes Arabic letters recognition according to articulation which entails using Dynamic Time Warping (DTW) method that uses dynamic programming basics to obtain the matching path for the least distance accumulated value, where the word used in segmentation and recognition belongs to the four persons who create the data base and the results were in consistence which ranged from (75- 80)%