Abstract. The area which covers the meaning of intelligent agents and their contribution is a subject of constant changes. Researchers are in a constant race to create intelligent agents that will contribute the most benefits in their life and will represent an extenuating circumstance regarding different complexity level problems, aiming to satisfy people's needs. Some of them show agent models that are going to be the starting point of future projects, and some give the whole picture of fully functioning agents. This paper gives a review of a systematic approach for designing multi agent system model for university teaching activities using UML approach.
Abstract. Knowledge management is a relatively young field of research in the era of the information society. Nowadays, organizations are increasingly aware of the vital importance and value of the knowledge they possess and they are in a constant race to manage their knowledge and to make it available for future use in order to maintain the value of the knowledge. The most suitable organizations that implement the knowledge management core concepts are universities. In this paper the main focus is to represent a model framework for the structure of the university knowledge management system and to give an overview for the design of prototype expert system for evaluating university teaching activities tо enhance the university performance and decision making process.
Abstract. Today in the area of medical research, the care of brain tumor patient attracts a lot of attention. Brain tumor segmentation consists of separating the different brain tumor tissues from normal tissues. In the past, many researchers in the field of medical imaging and soft computing have made significant survey in the field of brain tumor segmentation. Both semiautomatic and fully automatic methods have been proposed. Clinical acceptance of segmentation techniques has depended on the simplicity of the segmentation and the degree of user supervision. Additionally, with the development of particular software tools for automatic segmentation and brain tumor detection, which reduce the doctors' time spent on manual segmentation, more effective and efficient results are provided. In this paper BraTumIA software tool has been used for automated segmentation on MRI brain tumor images in order to perform fully segmentation by separating different brain tumor tissues from the normal ones.
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