فهرست مطالب امید زندی

The scarce resources and diverse needs in the country have made budgeting a very important and challenging issue for macroeconomists and decision makers. Given the government structure of the Iranian economy and the concentration of much of the financial resources in the hands of the government, the budgeting system has a significant impact on the entire Iranian economy as well as on the growth or underdevelopment and economic development. Therefore, considering the importance and necessity of this issue in this study, the main objective is to present a budget implementation model with system dynamics approach and to consider the variables of economic growth and regional competitiveness. For this purpose, using the Delphi method, 17 experts identified the influential variables (including flow, accumulation, endogenous, and extroverted auxiliary variables), then model structure, cause and effect diagrams and state-flow diagrams and conceptual relationship between variables in Vensim software. It was drawn. After the simulation, the validity of the model was reevaluated by three tests of boundary adequacy, structural and behavioral assessment, and finally, by examining four related scenarios (budget management, improvement of competitiveness, inflation control and comprehensive) the inflation control scenario was proposed. .

Accurate spatial estimation of precipitation plays a key role in many hydrological modelling, water resources planning and agricultural management studies. In order to estimate high-resolution precipitation in the current research, an estimation model based on PRISM framework considering Digital Elevation Model (DEM) and other spatial attributes is developed and applied to Sefidroud basin during the years 2000-2015. In the first step, the monthly results were compared with modified Inverse Distance Weighted (IDW) as a benchmark method. Considering both models’ degrees of freedom, the parameters are calibrated with Genetic Algorithm in annual time scale and the obtained parameters are utilized to estimate model monthly cross validation error. According to the monthly results, both models had roughly same statistical performance in estimating precipitation at the selected rain gauges. In spite of similar statistical performance of the models, the spatial distribution of precipitation provided by the PRISM based method is more consistent with topographic pattern and existing evidences. In the next step the proposed model’s ability to estimate mean monthly precipitation is compared with ordinary kriging method and according to the results, in wet months the developed model and in dry months kriging method represents more optimal results. According to small amount of summer precipitation, PRISM based approach is considered to be a better tool for spatial interpolation of precipitation than kriging.

The sinuous antennas have a numerous applications in military and civil systems such as direction finding, research and measurement laboratories and reflector feeds; which are due to their superior broadband characteristics and simultaneous right and left hand circular polarization. These capabilities are most required in radars and aerospace applications. Although, the sinuous antenna size, bandwidth, and radiation parameters are the same as spiral antenna, due to complex structure and complicated feeding network, the sinuous parameters do not investigated accurately. In this paper, a comprehensive survey on the antenna parameters has been proposed. Based on these studies, design, construction and measurements of an optimized planar sinuous antenna for 1–5 GHz frequency range have been presented.

Quality in service organizations takes place in the process between customer and service provider. In fact, for determining service quality, the difference between what customers feel that they will receive and what in reality provide is measured. In this paper, using the studies of service quality attributes, five sets of quality measures were identified and these indicators or measures, through the analytical network process (ANP), are then weighted. The Priority weights are, in turn, used in a goal-programming model to select the best set of quality control instruments for customer data collection purposes. This article proposes a way that will allow weighting (prioritizing) of a firm's unique service quality measures and considers the real world resource limitations (budget, hour, labor, etc.), and selects the optimal set of service quality measuring tools. This article addresses two important issues: how to incorporate and decide upon quality measure tools in a service industry, and how to incorporate the ANP into the model. A case study is also proposed in this article to show the application of the combined model.