During the past few years, there have been extensive developments on Islamic Azad University, which has led on reduction of managerial flexibility. Therefore, these organizations concentrate on their strategic management via usage of the Balanced Model such as Balanced Score Card (BSC) to consider different organizational perspectives and it is important to have good description of organizational strategies and goals. The strategy map is a primary factor to assess the performance in different organizational activities. In this paper, the performance evaluation system of Islamic Azad University of Semnan is designed by the utilization of strategy map as a prominent part of BSC.

There is lack of experimental study on significance or even presence of Brown and Roshko structures in highly turbulent environments. The setup configuration of this experiment is specifically designed to complicate creation and development of these structures by introducing high turbulence intensities. The flow considered is a plane, incompressible, fully developed mixing layer with two airstreams of different turbulence intensities. The Laser Doppler Anemometry (LDA) provides good temporal resolution across the mixing layer to obtain statistical descriptions and the Stereoscopic Particle Image Velocimetry (SPIV) provides good spatial resolution to investigate spatial coherencies. After defining the self-similar region, SPIV measurements are made in this region and different decompositions of Galilean, Reynolds and proper orthogonal decomposition are applied. Characteristics of a mixing layer are well studied and well documented, and the comparisons reveal that the high level of turbulence prevents structures from rolling up in a coherent manner; however, there exists temporary orderly oscillations. This compelling aspect requires appropriate techniques. The Morlet wavelet transform is applied to study non-stationary nature of the flow and a new method similar to the pseudo flow visualization is proposed to ascertain the results. Good qualitative agreements have been observed. The approach proposed is useful to extend the field of view in SPIVs measurement so as to realize larger wave numbers and is of practical significance in flow visualization.

Large eddy simulation is based on decomposition of turbulent flow structures to large energy-containing scales and small subgrid-scale (SGS) structures. The present study analyzes the effect of removing high-energy modes of flow to find the optimal construction of SGS parameters using the a priori approach. The data belong to a shear layer flow measured by stereoscopic particle image velocimetry (SPIV). The proper orthogonal decomposition (POD) method is used to capture all energy modes of the acquired velocity field. The missing/erroneous data are reconstructed using the gappy POD method. Particularly, similarity and mixed models are used to evaluate the SGS parameters. The results of the mixed model are compared via the a priori approach, before and after removing the high-energy modes. For the present flow, it is found that removal of just the first POD mode (as a representative of the mean flow) leads to the best SGS reconstruction, and this results in one order of magnitude higher precision of the average SGS stresses.