Al-Rafidain University College For Sciences

The robust estimations of parameters for any models taken large interest in the last period but the most searches was for linear models. The importance of this study is coming because the most actuality experiments represented by nonlinear models where its deals with M method which its used for robust estimation of linear models and how its used for nonlinear models and suggested two statistics used in M method for nonlinear models .So the search explained how to used L1-norm method to robust estimating the parameters of nonlinear models.
The comparison between the studies methods and the classic OLS method which is used for nonlinear models is doing by simulation where simulated four samples size.

This paper demonstrates that neural networks can be used effectively for the controlling the direct connection of parallel three-¬phase voltage source inverters..
A unique feature of the parallel three-phase inverters is a zero--sequence circulating current. This work proposes a new zero-sequence control for parallel three- phase voltage source inverter using a neural networks to assist the Proportional-Integral controller against the variation on the two inverters to maintain the value of a zero-sequence current within an acceptable value. The controller of the zero-sequence current can be implemented within an individual inverter and it is independent of the other control loops of the inverter, therefore, it greatly facilitates design and expansion of parallel system.
Simulation and results can be obtained by using mathematical software such as MATLAB version seven to show the performance of the controllers and the closed loop system.
Two-layers feedforward neural networks FNN's containing a Levenberg-Marquardt training algorithm are used.

Computerized information system has recently become widely available. indeed ,it has become an important instrument that can be applied in different aspects of life .one of the important applications of computer systems is that adopted by commercial establishments as well as by small business .that ,we may admit that no management can successfully operate in any business without the use of computerized information system.

One of the important applications of computer is to use it in the management of establishments such as companies and banks. There are many different systems that are used to manage investment; these systems use different design philosophy such as top down approach or modular approach. In this paper, the object oriented programming concept is applied to design and implement probabilistic assignment investment management system for commercial bank. Most applications of OOP use specialized object oriented languages, but this paper shows that C++ can be used effectively to developed object oriented models of typical investment management ,and implement OOP is more flexible and reliable and least costing.

Traditionally, the relevant cost analysis is one of the best sources of cost information for short – terms management decision making. While , depending on this cost information without strategic vision considers a significant risk through its impact on long – term strategic planning in the context of business environment that addressed with complexly, high competition and the dominance oh strategic thinking . In this context , the aim of this research is to explain the nature of short- term management decision making process depended upon relevant cost analysis in term of strategic planning and that issues which adopted by organizations . This research has been depended on identifying variables and relationships among them in its theoretical context. While it depends quantification analytical on identifying this theme by non – profit organizations for specialization and importance of this activity in social and economy life, especially in Iraq.

This paper describes the design and implementation of the engine-generator protection circuit based microcontroller AT89C51, which is very popular and is used in a huge number of applications in professional systems and amateur projects. This digital electronic circuit shows further possibilities of improvements, and is employed as a device to protect the engine-generator from the fault type that may occur during operation of the generator such as over heat; oil alert; over speed; and over voltage that will damage the engine and exciter of the generator. It is also used to protect all devices that are connected to the generator. The engine–generator protection can be done by gathering data from the sensors attached to the microcontroller and some other electronic circuits.

The Logistic Regression Model regarded as the important models which used in the classification, particularly in medical and biological fields. As the ordinary regression model, the logistic model be affected by the strange observations and its estimators will be sensitively influenced by the outliers, consequently, these estimators will be inaccurate and infeasible. Therefore, the researchers’ interesting focused on the “robust methods” as new suggestions toward number of problems or functions. Although, there are several approaches deal with this subject, but they still aim to use some approach that can make balancing among the observations by applying weights associated with those observations which thought to be outliers, and with smaller weight from those ones which associated with the rest data. Thus, this paper will be focused for a recent robust method called “Quadratic Distance Estimator IQ.D.E.1”. Moreover, Some other methods like: R & M achieved. The most important goal in this paper is to study and compare some of the robust methods and with commutative presence . Also using Quadratic Distance Estimator method on real data of patients which taking from Babylon hospital for the purpose of estimate parameters of binary logistic regression model

The genetic algorithm is an adaptive search method that has the ability for a smart search to find the best solution and to reduce the number of trials and time required for obtaining the optimal solution.
The aim of this paper was to study the behavior of different types of crossover operators in the performance of GA. We have also studied the effects of the parameters and variables (crossover probability, mutation rate, population size and number of generation) for controls the algorithm. This work accumulated some types of crossover operators to be a reference to all researchers; it was implemented on Optimization of a function. We investigate to explore the role of crossover in GAs with respect to this problem, by using a comparison study of the iteration results obtained from change the parameters values (crossover probability, mutation rate, population size and number of generation).
The experimental results reported will show more light into how crossover effects the GAs search power in the context of optimization problems.
The work explains the role of crossover operators in GAs and it shows the iteration results obtained with implementation in Delphi version 6.0 visual programming language exploiting the object oriented tools of this language.

This research attempts also to test the main hypothesis stated as follows”the divergent methods of line – balancing of production result in different performance criteria. But there is one method, which is better for balancing the production line. This latter method may achieve more benefits for the company “,The research has arrived at number of conclusions most important of which is that the ( moodie- young) method is the best method. Then comes next to it the ( comsoal) method, and then RPW method.
Yet the reseach has recommended that the firm should follow the most appropriate method that corresponds to its environment to achieved high efficiency and precision in its operations.

Information security is a vital issue and it needs to continuous developments. This paper focused on developing the concept of encryption by using a proposed method to encrypt text information or may be after some farther processing it is suitable for all types of files. This method used two secret keys (symmetric encryption) and one secret mathematical equation, and there are two levels of encryption; firstly through first secret key (key1) (convolution key); secondly through another secret key (key2) and secret mathematical equation. The cipher text is only real numbers. Also this paper will include some results of encryption and decryption.

An Artificial Neural Network (ANNs) is a model that has been studied for many years in the hope of achieving human like performance. It was used in many applications like (pattern recognition, signal processing, vision, speech recognition, and decisions making aids and robotics).
There are many types of ANNs, most of these types are suffering from some problems such as Convergence, Design and some of these ANNs cannot solve the non-linear problems.
Since Genetic Programming (GP) is a machine learning technique used in the automatic induction of computer programs, therefore we used it as automatic system for designing and implementing ANNs trying to overcome the previous problems.
In this paper we proposed an approach to build ANNs based on evolutionary computation, which uses the GP to evolve both the architecture and weights of General non-recurrent NN simultaneously. New GP modification operations were proposed which are (structure-preserving crossover, structure-preserving mutation, and structure-preserving permutation), these modification operations have clear effects in improving the results of the proposed system.
The proposed system has been used in solving five simple problems which are (AND, OR, NOT, Exclusive-OR, and Half-Adder) problems. In addition, we compare the results of the proposed system with Koza work and with three major types of supervised ANNs, which are (Perceptron, Back-Propagation, and Adaline).

The current research presents a theoretical and applicable frame that tests the relationship between Information Technology and crisis management , as well as, determines the important level of Information Technology ingredients
( hardware , software , communication nets ,and human resource ) with their importance reflection on the level of achieving a distinguished performance level that confirms the organization ability which is under research, in facing the crisis and events that could be exposed to .
The aim of the research is variables description and diagnosing which are presented by Information Technology elements and crisis management.
This research has depended on the questionnaire to collect data and information of a deliberate sample that consists of (42) managers who work at Banks.
The assumptions have been chosen by using a number of statistical methods and the prepared statistical system (SPSS). Most of the application

Finite State Automata, FSA, represents a main solution-model for different computational problems. The implementation of FSA for specific serious problem consumes times and efforts. The aim of this research is to design and implement a system shell which rapidly builds an FSA. This system involves no knowledge about the FSA underhand, but includes the general mechanism of parsing the input string in addition to a sub-system to collect the specification of a specific FSA. According to this shell, the building of a FSA requires no more than the time of presenting its specifications during what so-called construction phase. In the construction phase the tables of the FSA specifications are built such as the transition table which represents the transition function. In the second phase, the Application Phase, the machine becomes ready for use. The first phase includes many modules such as Specifications-File Reader and Machine Constructor modules, while the Application Phase includes Input-String File Reader, Parser Shell, and Output Visualizer. Many actual and randomly-generated machines had been used to test the shell. These FSAs are of 1 up to 100 states and 1 up to 39 alphabet symbols and they were built and tested successfully.

As the recent denial-of-service attacks on several major Internet sites have shown us, no open computer network is immune from intrusions. The wireless ad-hoc network is particularly vulnerable due to its features of open medium, dynamic changing topology, cooperative algorithms, lack of centralized monitoring and management point, and lack of a clear line of defense. Many of the intrusion detection techniques developed on a fixed wired network are not applicable in this new environment. How to do it differently and effectively is a challenging research problem. In this paper, we examine the vulnerabilities of a wireless ad-hoc network, and describe the new intelligent intrusion detection and response mechanisms (using neural network) that we are developing for wireless ad-hoc networks.

The type of procedure by which drinking water was supplying the Baghdad city just after the first gulf war has been discussed. In this procedure the consumer is obtaining little mount of water with low pressures the reason which lead him to use the domestic pumps to draw water from the hydraulic pipe network and store it in his house. For many reason this procedure in point of view of the engineering concept is unacceptable .
In this study a comparison of costs for the period 1995-2006 was made between the costs of using elevated tanks water supply system, and that of using huge number of domestic pumps.
In this study have been reached to a conclusion that the costs of importing domestic pumps was high in comparison with that of elevated tanks. Both type of procedure serve the consumer , but the elevated tanks will serve better regarding their efficiency of high pressure that serve Baghdad city and solve this problem .