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During recent decades, recognizing letters was a considerable discussion for artificial intelligence researchers and recognize letters due to the variety of languages and different approaches have many challenges. The Artificial Neural Networks (ANNs) are framed based on particular application such as recognition pattern and data classification through learning process is configured. So, it is a proper approach to recognize letters. Kurdish language has two popular handwritings based on Arabic and Latin. In this paper, Radial Basis Function (RBF) of ANNs is used to recognize Kurdish-Latin manuscripts. Although, the authors' proposed method is also used to recognize the letters of all Latin languages which include English, Turkish and etc. are used. The authors implement RBF of ANNs in MATLAB environment. In this paper, the efficiency criteria is supposed to minimize the Mean Square Error (MSE) to recognize Kurdish letters and maximize recognition accuracy of Kurdish letters in training and testing stage of RBF of ANNs. The recognition accuracy in training and testing stages are 100% and 96.7742%, respectively.

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All existing methods for Developing Software Systems, most insist on a separate system to keep the components together till they have been had the least overlapping. But these methods in the management system those have some parts and are using use case, and involved in the other parts of the systems, are inefficient. With arriving the Aspect-Oriented Programming, programmers were able to Implement the overcome some of these requirements and Implement them in a separate unit, but there are still some of the analysis requirements and design, because of the wrong analysis and design they cannot be implemented as a measure. In this article we want to prominent the phase of analysis and design of this work using the Aspect-Oriented Software, in order to implement them in the Implementation phase as a cupon.

Multiagent Systems Engineering (MaSE) Methodology is one of old object-oriented methodology which supports the development process and is established based on the development of the object-oriented software engineering methods and their adjustment with the agent view. Some characteristics of the agent like autonomy, creativity and preactivated are not paid attention. The agents are supposed as simple software processes which cooperate to obtain a certain goal. There are two basic phases in MaSE: analysis and design. The analysis phase concentrates on specializing the agent's roles, their duties and interactions. In design phase, matters such as diagrams and conversations class are introduced. The all steps in MaSE are implemented by graphic tools, agent Tool. This tool (agent Tool) covers all the steps of MaSE methodology design and analysis. In this article, we have covered the MaSE methodology based on a practical experience. The reason of choosing the chain store system is that it has the necessary characteristics like customer and seller autonomic agent technology and it is easier to identify and understand the analysis and design steps.