IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING

A single layer feed-forward neural network are proposed and implemented using theschematic editor of the Xilinx foundation series 2.1i. First the mathematical model of thedata set (weights and inputs) is presented in a matrix multiplication format. Secondly thefive design stages are presented and implemented without using the finite state machine,which control the processes of the forward propagation phase, error calculation, and thetraining algorithm. Finally the design can be optimized to decrease the total execution timeand to minimize the cost, which eventually will increase the performance and improve thefunction density.

In this search, development the automatic brake system for the vehicle by usingFuzzy controller to avoid crashing the vehicle with any body in front of it such as bodyis station or move. The rated speed between the vehicle and the front body ahead of itand the distance between them, they be intendance for controller but the outer is braketorque which applied on to the tires. The propose controller can be sense the slippingwhich occur between the tires and the road surface during the stopping and trying tomake the value of slip in the amount which give the best adhesion with road surface.The propose controller built by use the theory of Fuzzy sets, and from the lastexperience in this field it has been found the basic rules for this controller. The frictionparameters for this controller appear the request result in different circumferences and inthe same time it keep on non-slipping in the stop time point.

Link quality evaluation unit is very essential in recent digital data receiverespecially in time vary channel such as HF and mobile radio. It provides the adaptivedetector with the required information or parameters optimize its performance from thepower and rate points of views. These information parameters include the signal-tonoiseratio, Doppler spread, channel severity and the estimate of the sampled impulseresponse of the channel.Efficient schemes for the estimation of HF channel were presented. The chosenparameters are the Doppler spread, channel severity and the signal-to-noise ratio whichare the dominant ionosheric propagation parameters.Computer simulation tests have been carried out to evaluate these estimators over HFchannel that has been simulated based on Waterson model. Results of computersimulation tests have shown the ability of these estimators to track the variation of theHF channel accurately and efficiently.

The purpose of this paper is to design an efficient, reliable, fast, easy to extend, andsmall size experimental real-time operating system kernel for uniprocessor multitasksystem. It is a kernel with an underlying formal model based on periodic and sporadic taskswith guaranteed response time requirements to tasks and shared software resources. It isdistinguished by the programming model it supports and its use of a new processorscheduling and resource allocation.The kernel represents a nucleus of supervisory softwareto perform the required real–time functions. It logically runs and coordinates concurrentand physically asynchronous activities. It offers appropriate synchronization and taskcommunication mechanism among tasks.

In this paper, a new method for the design of the broadband RF/microwave amplifiersemploying distributed amplification is presented. It proposes to use stages with asymmetriclumped elements (inductances and capacitances) in the gate and drain circuits of theamplifier instead of symmetric elements in order to control the frequency response and toachieve a flat gain over a large bandwidth. The need for impedance matching problems isalso solved. Simulation result obtained demonstrates that the new design gives betterfrequency response as compared to the conventional distributed amplifiers even withoutoptimization.

This paper analyzes and tests a proposed neural network (NN) to solve the DynamicEconomic Dispatch (DED) as part of the unit commitment problem. The proposed NN is afast and direct computation solver using a Hopfield model for solving the dynamic economicdispatch problem of thermal generators which is a dynamic optimization problem taking intoaccount the constraints imposed on system operation by generator ramping rate limits.Formulations for solving the ED and DED problems are explored. Through the application ofthese formulations, direct computation instead of iterations for solving the problem becomespossible. Not like the usual Hopfield network, which select the weighting factors of theenergy function by trials, the proposed network determines the corresponding factors bycalculations and employs a linear input-output model for the neurons. The effectiveness of thedeveloped neural network is identified through its application to the New England test system.Computational results manifest that the model has a lot of excellent performances.

Aircraft convention defines the attitude parameters in terms of three angles: roll,pitch and heading. These angles are referenced to the local horizontal plane defined bygravity vector. Attitude information for aircraft is obtained by using spinning rotor orring laser gyroscopes. These systems are very precise but they suffer from manyproblems such as high cost, large size and weight and the requirements for elaborate andintricate mechanical structure.These problems can be reduced by the exploitation of the micromachined technology.In this work, an attitude measuring system based on the ADXL202accelerometer, the HMC2003 magnetic sensor and the ADuC812 microcontroller hasbeen designed and implemented. An algorithm for decoding of the ADXL202 outputsignals is described and implemented as software programs written in C-language toperform and display the attitude measurements and a correction method for the errorsintroduced by tilt angles is described.The measuring system operation is examined by the test of the reading’srepeatability and constancy. A good repeatability and constancy with a high degree ofprecision and small amounts of error and dispersion are found from these tests.

Strapdown system algorithms are the mathematical definition of processes whichconvert the measured outputs of Inertial Navigation System (INS) sensors that are fixed toa vehicle body axis into quantities which can be used to control the vehicle.In this work, a reduced and fast terrestrial strapdown INS algorithm was developedand implemented for three-degree of freedom (3DOF). The evaluation of the algorithm isbased on the accuracy of the proposed algorithm with real data.