This paper described fast and robust approach of text encryption and decryption based on Pascal matrix. The technique of encryption can be applied on both Arabic and English text. The results shows that the ciphered text unintelligible and rubush for the interuder or hukers. The encryption scheme usually uses a pseudo-random encryption key generated by an algorithm. All this done by using Pascal matrix. Encryption and decryption simulated using MATLAB version 10 and notepad ++to write the input text.

The data communication has been growing in present day. Therefore, the data encryption became very essential in secured data transmission and storage and protecting data contents from intruder and unauthorized persons. In this paper, a fast technique for text encryption depending on genetic algorithm is presented. The encryption approach is achieved by the genetic operators Crossover and mutation. The encryption proposal technique based on dividing the plain text characters into pairs, and applying the crossover operation between them, followed by the mutation operation to get the encrypted text. The experimental results show that the proposal provides an important improvement in encryption rate with comparatively high-speed Processing.

Introduction:This paper presents a minimum delay congestion control in differentiated Service communication networks. The premium and ordinary passage services based fluid flow theory is used to build the suggested structure in high efficient manage. The established system is capable to adeptly manage both the physical network resource limitations and indefinite time delay related to networking system structure.Methods:The effectiveness of the suggested congestion controller system is demonstrated with mathematical consequences in formal framework by using modified sliding controller (MSMC) techniques. This technique provides high utilization and less delay after adapting the state feedbacks controllers with sliding mode controller. The Quality of Service (QoS) requirements in term of effective and dynamic regulation of network resources have been achieved in the existing design.Results:The capacity and bandwidth limitations are considered as a restriction on the input of network. The results of this approach are developed and compared with a conventional design.

No abstract

Modern automation robotics have replaced many human workers in industrial factories around the globe. The robotic arms are used for several manufacturing applications, and their responses required optimal control. In this paper, a robust approach of optimal position control for a DC motor in the robotic arm system is proposed. The general component of the automation system is first introduced. The mathematical model and the corresponding transfer functions of a DC motor in the robotic arm system are presented. The investigations of using DC motor in the robotic arm system without controller lead to poor system performance. Therefore, the analysis and design of a Proportional plus Integration plus Divertive (PID) controller is illustrated. The tuning procedure of the PID controller gains is discussed to achieve the best responses of the DC motor. It is found that with the PID controller, the system performance is enhanced, especially in terms of steady-state error but does not provide the required optimal control. The required approach of Ackerman's formula optimal controller based on state-space feedback is investigated. A GUI using the Matlab environment is created to obtain the DC motor's responses without using a controller and with controllers. It is found that the proposed approach of the optimal controller has more robustness and enhances the overall performance of the existing PID controller in the form of reducing settling times (from 2.23 second to 0.776 seconds), minimizing percent overshoot (from 27.7 % to 1.31 %) and zero value of steady-state error.