In this study, an entirely fuzzy optimization model is presented for conjunction use of surface and groundwater. Groundwater level in Astaneh-Koch Esfahan Aquifer was simulated using the GMS Model, while its results were used as a constraint in optimization model. Then, Kumar and Jayalakishimi fuzzy optimization methods were solved by applying the GAMS software. Maximum water supply shortage in Kumar method for left-side of Sangar was in 2009 that 58. 36% of demands was satisfied. Also this value in the right-side was calculated about 56. 76% in 2008. In the Jayalakishimi method, the maximum water supply shortage was obtained in 1998 and 2014 that 66. 5% and 60. 96% of demands for left and right-side are satisfied, respectively. On the other hand, for this method, in the situation of total maximum shortage for left and right sides of Sangar channel, supply percentage of water needs was about 65. 9% in 1998, while for the Jayalakishimi method, it was obtained about 66. 5% in 1998. Also in the current situation, the supply percentage in the worst conditions is 54%. Regarding consideration of uncertainties, the proposed fuzzy optimization model can be applied to manage the conjunctive water supply for agriculture.

This essay attempts to do a typological study on one of the most applicable lighting devices-i. e. Oil Lamps-of the early Islamic period from Iran. Although introduction of Iranian ceramic Oil Lamps goes back to the pre Islamic period of Iran, the most remarkable changes in the design process of these products appeared during this period. Therefore, the main goal of this research is to study and follow design process of Iranian ceramic Oil Lamps of early Islamic period. This essay enquires about the most important developments on the history of Oil Lamps design. In order to reach the goal of this study and to do this research I have used descriptive analytical methodology of research and collected a great deal of needed information by desk study methods of data gathering. In addition, in order to delineate as good as possible the changes and developments appeared on various types of Iranian ceramic Oil Lamps from early Islamic period, here in this study I decided to use a specific framework for systematically studying history of objects’ design suggested by an Indian university professor named Kumar Vyas. According to Vyas, in order to be a major landmark a moment in the history of an object should indicate five kinds of changes: changes in design and structure of devices, changes in appearance of them, changes in methods of manufacturing, changes in the ways they have been used, and finally changes in objects’ relationship with their users. Therefore, one can categorize the most important developments in designs and types of Iranian ceramic Oil Lamps in three main groups. The first group includes those ceramic Oil Lamps with open, bowl shaped bodies and projected wick holders, Second group have globular enclosed bodies with elongated tubular wick holders. Finally, footed lamps with central stem on a plate shaped stand recognize the last group of our typology of Iranian ceramic Oil Lamps from early Islamic period.

In this paper we used orthogonal basis functions and expansion coefficients for inverse modeling of magnetic data. The basis functions chosen are normalized eigenvectors of second derivation of the objective function (Hessian matrix) calculate for an initial model. Limited number of basis vectors obtained in this way defines a new subspace in model parameters space. Anew objective function is defined in term of these new parameters and minimized in subspace of original space. As in geophysical inverse problems we need to inverse matrixes that are functions data and geometry of data and model parameters. The matrix inversion in new subspace of the original space will be better conditions due to less dimensionality in the inversion. Since the most significant eigenvectors corresponding the largest Eigen values in Singular Value Decomposition (SVD) of matrixes. Others eigenvectors have less influence in fitting data or lead inversion procedures to local minima. With apply subspace method inversion will be fast and stable against the noise. The efficiency of the method is tested with synthetic and real magnetic data (acquired from Moghan area, north-west of Iran). The results proved fast convergence and stability of inversion against the noise.

The Qur'an contains religious values ​​for the advancement of man to happiness. The claim is that Quranic teachings are the basis of religious values; By choosing it better, the method of proving religious beliefs can be extracted. This research tries to extract the method of proving religious beliefs with a business approach and by using artistic forms with a descriptive and analytical method and with a better selection of Quranic teachings. Based on the verses, the process was defined as the introduction to the institutionalization of religious values ​​in the businessman 1- Gaining self-knowledge (knowing the talents, capacities, existential dimensions and position of man in the universe); 2- Gaining monotheistic insight (knowing the origin and your relationship with the Creator); 3- Reciprocity is (knowing the destination and drawing the path of happiness in the universe). After the realization of these three stages, the beliefs must be proven through rational and scientific reasoning and penetrate, in this case, the acceptance of good qualities in the businessman will be facilitated.

One of the obvious reasons for most disorders in network service provisioning is network path congestion. Congestion avoidance in today's networks is too costly and sometimes impossible. With the introduction of SDN, centralizing the equipment's control plane has become possible. This paper presents an enhanced method named ESV-DBRA to avoid congestion in multi-tenant SDN networks. At first, ESV-DBRA monitors the traffic load and delay of all network paths for each tenant individually. Then, by merging the parameters obtained from the monitoring, the Service Level Agreements (SLA), and a novel proposed cost function, it calculates the cost of the network paths per tenant. As a result, traffic for each tenant is routed through the path/paths at the lowest possible cost from the tenant's perspective. Next, the bandwidth quotas will be calculated and assigned to the tenants over their optimal routes. Afterward, whenever congestion is likely to occur in a path, ESV-DBRA automatically changes the route or bandwidth of the tenants' traffic related to this path to avoid congestion. Related algorithms are also proposed.Eventually, simulations show that the proposed method effectively increases bandwidth utilization by 10.76%.