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Each of the performance assessment models is an instrument that after implementing it can give the decision makers different information. So it is inevitable to use these models to answer the questions and problems that has been arizen in decision makers’ mind. Therefore, in this article we want to explain the mathematic model of the suitable Data Envelopment Analysis, grading efficiency of instruction groups, the weak and strength points of each group and the situation of optimum use of accessible sources in the human sienceses faculty from the view point of DEA. Since the different models of DEA have been developed during last years to be used in different areas, one of the most important steps before evaluating surveyed units is choosing a model or models suitable with them. This article presents a collection of consecutive steps, in a conceptual framework in order to choose correctly a performance evaluation model. These stages should be performed one after the other, otherwise the credits of evaluation model can scrafeh due to the natural weak nesses of DEA method.

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Nowadays, sewage system is either being installed or has been installed in both developing and developed countries. CCTV cameras and the estimation of pipe age are main sources of inspecting sewer pipeline conditions, although not providing decisive information. Managing sewage installations requires reliable quantitative and geometrical data on the conditions of pipes both in-service and after installation. Measuring the rate of sewage blockage has always been challenging. Various attempts have been done to develop and apply different techniques for the determination of pipe blockage since the 1990s, but most of them were not practical or comprehensive. Pipe profiling could be a novel method in this regard. The method proposed in this paper would be able to measure both the cross-section and profile of sewer pipes. This includes two infrared sensors and a servomotor attached to a measurement device mechanism. The set enters a sewer pipe and measures the coordinates of pipe cross-section points. Then, the collected raw data are transferred outside in order to be processed and later saved in a text file format. The saved data will be depicted as pipe cross-section 2D profile using the suggested and developed API package at SOLIDWORKS environment, which in turn will result in the availability of a 3D model of under-inspection pipes. It should be added that different parameters of every desired pipe cross-section will be measurable as well.

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Perspective is one of the factors involved in the diversification of schema. The viewpoint from which one looks at a scene somehow affects the process of semantic representation of that scene. Every sentence has its special schema drawn upon the scene in question, and adopting different points of view towards the same event will result in the speakers’ choosing different linguistic structures to express the event. Therefore, perspective is one of the most salient structure-formation processes that has received much attention from cognitive linguists. Cognitivists interested in linguistic impacts of perspective, following Langacker (), have laid their study on the assumption that the relative status and the angle of vision influence what language is used in describing certain situations. However, the question in this regard is whether or not the two parameters meet the adequacy required both for describing and for explaining different scenes linguistically. The answer seems to be that the specific perspective taken by the speaker is itself very much based on some further elements as animacy, dynamicity, size, and speaker. Present article is therefore written in order to question the problem of perspective, and the elements that are likely to bear upon its linguistic representation in Persian. Furthermore, it will also be taken into question if, according to what cognitive linguists argue for, there is such a universal cognitional framework common to all the human beings. For this purpose, a body of Persian written and spoken data, gathered from narrative dialogues and everyday talks, is to be examined inductively. Although this is an unprecedented study on some fundamental cognitive-semantic issues, the results would pretty hopefully apply in much more detailed semantic analyses of sentence perspective as well.