In this paper at first some image compression methods such as wavelet, KLT, Discrete Cosine Transform and combined wavelet and KLT were reviewed and then anew method based on multi averaging was proposed. The proposed method was applied on some images including a spaceborn remote sensing image and the results were presented. Few statistical parameters such as MSE, PSNR and CR for evaluation of the method on the compressed images were calculated. In addition, for image retrieving, the averaging compressed image and then minimum and maximum values were used.

This paper identifies determinants of economic growth in Iran, by using averaging methods and annual time series data from 1974 to 2012. The results indicate that ratio of oil revenue to GDP is the most important variable affecting economic growth. Also the second and third effective variables on growth are respectively ratio of imported capital and intermediate goods to GDP and labor force which lead to an increase in growth.Endogenous growth factors which are the factors contributing to formation of human capital, not possess a large role in growth process. Investments, especially government investment affects contrary to were expected. In fact, low quality, and productivity of investments and poor allocation reduced importance of investment’s quantity. The nature of Iran’s economy has not endogenous and dynamic features and predominantly, growth has been made by injecting of exogenous sources. Emphasis on formal and informal educational orientation in the quality of human capital instead of increasing in quantity of education is recommended.

In this paper the substantiation of the method of full averaging for fuzzy differential inclusions is considered. These results generalize the results of [17, 20] for differential inclusions with Hukuhara derivative and of [18] for fuzzy differential equations.

In this article, a v2f model is employed to conduct a series of computations of incompressible ow in a periodic array of square cylinders simulating a porous media. A Galerkin/least-squares finite element formulation employing equal order velocity-pressure elements is used to discretize the governing equations. The Reynolds number is varied from 1000 to 84,000 and different values of porosities are considered in the calculations. Results are compared to the available data in the literature. The v2f model exhibits superior accuracy with respect to k-e results and is closer to LES calculations. The macroscopic pressure gradients for all porosities studied showed a good agreement with Forchheimer-extended Darcy's law in the range of large Reynolds numbers.

Recent crises indicate the failure of early warning models. The research considers this failure to identify the explanatory variables and the empirical design of the model, the factors that this research seeks to improve. In this research, it is attempted to determine the factors affecting the financial crisis in Iranian economy by defining uncertainty in crisis models and using a conventional approach to Bayesian average. In this study, 62 variables affecting the financial crisis were introduced into the model. Finally, using the Bayesian averaging model, 12 non-critical variables that affect the financial crisis, which include deficit or surplus, unofficial exchange rate deviation from the official, inflation rate, ratio External debt to foreign assets of the Central Bank; Increasing coefficient of money (liquidity/ monetary base); Export to GDP ratio; Import to GDP; Government expenditure to GDP ratio; Budget deficit to GDP; Liquidity ratio to foreign assets of Central Bank; Rate of credit growth granted to the private sector and inflation squeeze. Regarding the output of the results, it can be stated that the financial crisis index in Iran's economy is a multi-dimensional problem, as variables related to financial policy, monetary policy and foreign exchange policy affect this index.