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Open Access Article
1 - Sensitivity Analysis of Constructional Specifications on Thermal Performance of Naturally Ventilated Box Window Double Skin Facade in Hot Arid Climate of Iran (Tehran)
Faryal sadat Siadati Rima Fayaz Nilofar NikghadamThe function of the double-skin facade with natural ventilation is based on the thermal performance and airflow of the cavity. Structural features of a naturally ventilated double-skin façade that affect its thermal performance and fluid dynamics include geometri MoreThe function of the double-skin facade with natural ventilation is based on the thermal performance and airflow of the cavity. Structural features of a naturally ventilated double-skin façade that affect its thermal performance and fluid dynamics include geometric features such as cavity dimensions, airflow path, air inlet, and outlet areas, shading devices material and their location in the cavity, and material properties that are optical and thermal characteristics of transparent skin. In this research, Fluent Software was used to simulate the computational fluid dynamics, and by sensitivity analysis, the effect of changes in structural properties on thermal performance was evaluated. For this aim, 144 simulation scenarios with cavity depths of 30, 60, 90, and 120 cm, inlet and outlet cross-sections of 0.2, 0.4, and 0.8 m2, louver shadings with 0, 30, 45, 60, and 90 degree angles located at one third distance close to the exterior wall of the façade, the model without shading, exterior glass with regular and low emission layer were investigated, and the following results were obtained:- Cavity Depth: It was observed that as the depth increases, the velocity of airflow in the cavity decreases. Changing the width of the hole changes the surface temperature of the inner glass up to a maximum of 0.80 ° C (up to 2%). As the depth of the cavity increases, the heat flux transmitted through the inner glass surface decreases in most cases (up to 6.5%).- Cross-section: As the cross-section increases, the air velocity in the cavity increases the temperature of the inner glass surface changes irregularly but, in most cases, decreases. In addition, the heat flux passing through the inner glass surface often increases (up to a maximum of 16.3%).- Shading: In the case without shading, the air velocity in the cavity is 0.30 to 0.70 m/s, and in the case with 45 degrees of shading, the air velocity in the cavity is between 0.30 and 0.92 m/s. In the case without shading, the temperature of the inner glass surface changes from 39.3 to 41.0 ° C, and in the case with 45 degrees, changes are between 38.65 to 39.5 ° C. In the case without shading, the heat flux transmitted through the inner glass surface changes from 78.0 to 120.0 W/m2, and in the case with 45 degrees shading, differences between 43.0 to 48.2 W/m2. The sensitivity of the heat flux transmitted through the inner glass surface to the presence or absence of shading can lead to a reduction of the heat flux transmittance through the inner glass surface by up to 61.0%.- Exterior glass type of DSF: In the case without shading, the reduction rate of heat flux from the inner glass surface is 19.44% to 29.78%, and in the case with 45-degree shading is from 17.71% to 24.44%. By changing the exterior glass's material (low emission or regular), the heat flux transmitted through the inner glass surface changes by 32.2 and 120 W/m2. Manuscript profile -
Open Access Article
2 - Sensitivity Analysis of Banks Efficiency to the Financial Variables
ساناز رزم یانDiscriminant analysis is a classification method that can predict the group membership of a newly sampled observation. In discriminant analysis, classification of new observed data has an uncertainty. In this paper, the confidence degree is introduced to determine the c MoreDiscriminant analysis is a classification method that can predict the group membership of a newly sampled observation. In discriminant analysis, classification of new observed data has an uncertainty. In this paper, the confidence degree is introduced to determine the confidence of classification of new observed data. Then, a Monte Carlo-based sensitivity analysis is applied to an assessment of the influence of financial variables on the overall variance in defined confidence degree. The variables that have a dominant influence on the confidence of new observed data are identified. The result show that in changing classification of the new branch of banks, the uncertainties in the long-term deposits and loans granted variables are more significant than the uncertainties in other bank’s variables in decision making. Also, the personnel, non-benefit deposit and non-performing loans variables have little effect. The results open the door to better making decision on establishing a new bank’s branches. Manuscript profile -
Open Access Article
3 - Comparison of the efficiency of artificial neural network and regression in predicting the skidding time of steel-tracked skidder and agriculture tractor
Najibeh Gilanipoor Akbar Najafi Hamid AryaHaving accurate information about the efficiency of skidding machines in order to reduce transportation costs inforest engineering studies using modern statistical models is very valuable. In this study, the prediction of the skiddingtime in steel tracked skidder and ag MoreHaving accurate information about the efficiency of skidding machines in order to reduce transportation costs inforest engineering studies using modern statistical models is very valuable. In this study, the prediction of the skiddingtime in steel tracked skidder and agriculture tractor was performed using an artificial neural network and multiple linearregression model and then the efficiency of the models was compared. The variables of skidding distance, slope, andvolume in each skidding cycle as independent variables (input variable) and time of each skidding cycle as thedependent variables (response variable) were entered into the model. The results showed the prediction in skidding timeof steel tracked skidder, the explanation coefficient of the MLP neural network and regression model were 0.78 and0.55, respectively and the error rate of models was 0.19 and 0.42, respectively. Also, in the agricultural tractor system,the explanation coefficient of MLP neural network and regression model were 0.70 and 0.62, respectively, and the errorrate of models was 0.18 and 0.28, respectively. Therefore, in both skidding systems, MLP neural network is moreefficient in predicting skidding time than the multiple linear regression model. Sensitivity analysis of the artificialneural network and regression showed that the skidding distance variable in the steel tracked skidder chain wheel andthe skidding path slope variable in the agricultural tractor are the most important. Manuscript profile -
Open Access Article
4 - SENSITIVITY ANALYSIS OF DEDESERTIFICATION OPTIMUM ALTERNATIVE IN FRAMWORK OF ANALYTICAL HIERARCHY PROCESS (case study in area of Yazd khezr abad)
حسن Ahmadi Gh.R Zehtabian M.H Sadeghi RooshanThe data gathered from multi criteria decision making methods are usually inapplicableand changing , therefore an important step in applying a multi criteria decision-makingproblem (MADM) Such as Analytical Hierarchy process (AHP),is Sensitivity Analysis onout coming da MoreThe data gathered from multi criteria decision making methods are usually inapplicableand changing , therefore an important step in applying a multi criteria decision-makingproblem (MADM) Such as Analytical Hierarchy process (AHP),is Sensitivity Analysis onout coming data's .In this essay in order to make sensitivity analysis on criteria ofdecision making and showing the final values of dedesertification solutions it is tried touse triantaphyllou statistics method.Generally in this method . at first sensitivity analysis process was done on criteria andalternatives and after determination of the most sensitive criterion and alternative the newweights of alternative on the basis of the most sensitive criterion and alternative wasreplaced in decision making matrix and calculating weight average of each line ofnormalized ,corrected Matrix, the priority degree or find weight of alternative wasachieved. meanwhile in order to achieve applicable, read and practical results, khezrabadregion in yazd was considered as a typical region in the point of desertification view. theout coming results of applying of sensitivity analysis on the basis of triantaphylloumethod in the khezrabad desert region in order to determine the corrected and find weightof effective criteria and alternative in desertification and dedesertification shows the highability of this model. In a way that after analysis of sensitivity of criteria and alternativeand finding the most sensitive criterion and alternative the priority of criteria did notchange and still the criterion of proportion and adjustment with environment(C1)with themultiple sensitivity of 0.3222 was estimated as the most sensitive criterion which after being normalized the said criterion with the preference degree of 32.6 percent was placedas the first alternative coming to this results indicates the attention of desert managementExperts to the matter of environment and the problems--- in destroying the environment .At the same time the order of alternatives did not change and the livestock grazingcontrol alternative (A4) with the sensitivity multiple of 0.1381 was estimated as the mostsensitive alternative which after calculating the new weight of the most sensitivealternative.the improper land usage Alternative (A2) with the preference degree of 23.45percent style in first place and finally by calculating the final priority order or correctedalternative it was observed that alternative A2 with the preference degree of 22.7 Pct .wasstill in the first place. and at the same time. the order of alternatives was a little changedfrom the previous form as the final priority of livestock grazing control alternative (A4)was replaced with regulating of taking water from under ground sources .(A5) Manuscript profile -
Open Access Article
5 - Sensitivity analysis for efficiency security margin of medical sciences hospitals in Iran using data envelopment analysis
Fatemeh Komaki Reza Fallahnejad -
Open Access Article
6 - Investigating the effect of weight restrictions on estimating returns to scale in convex technologies
Samane Shahnazi -
Open Access Article
7 - Radius of stability in data envelopment analysis with network structure
Farshad Hosseinzadeh Lotfi -
Open Access Article
8 - Efficiency of DMUs in Presence of New Inputs and Outputs in DEA
E. Noroozi E. Sarfi F. hosseinzadeh Lotfi -
Open Access Article
9 - Sensitivity Analysis and Finding the Stability Region with Adding DMUs in DEA
E. Sarfi E. Noroozi F. Hosseinzadeh Lotfi -
Open Access Article
10 - Sensitivity in ranking for perturbations of data in DEA
Parichehr Zamani -
Open Access Article
11 - Data Envelopment Analysis with Sensitive Analysis and Super-efficiency in Indian Banking Sector
Q. Farooq Dar T. Rao Pad A. Muhammad Tali Yaser Hamid F Danish -
Open Access Article
12 - Sensitivity Analysis of Evapotranspiration to Change in Meteorological Parameters in North-West and West of Iran
Yagob Dinpashoh Saead Jahanbakhsh asl masoumeh foroughiSensitivity analysis of reference crop evapotranspiration (ET0) is crucial for improving water management in the arid and semi-arid country as like Iran. However, it is important to analyze the sensitivity of ET0 to meteorological parameters, since the climate globally MoreSensitivity analysis of reference crop evapotranspiration (ET0) is crucial for improving water management in the arid and semi-arid country as like Iran. However, it is important to analyze the sensitivity of ET0 to meteorological parameters, since the climate globally has been changed to some extent. In this study, sensitivity of ET0 by varying the climatic parameters at 36 selected stations in the West and Northwest of Iran was investigated. The priority and effect of the climatic parameters in different months at the selected stations were found by sensitivity analysis. The ET0 is calculated based on the most recommended form of the FAO-56 Penman-Monteith method. To analysis the sensitivity, variations of ET0 depends on the changes in minimum temperature (Tmin), maximum temperature (Tmax), wind speed (u2), minimum relative humidity (RHmin) and maximum relative humidity (RHmax), in the range of ±20% with the step of 5% was calculated. Finally, the parameter with higher importance for each station was obtained. Results showed that ET0 was more sensitive to the variation of Tmax at the 13 stations (36.11%) in annual time scale. The maximum change of ET0 by increasing of Tmax with+20% was found at Ardebil (15.54%) and the minimum change in the same situation was found to be 6.05 % at Meshkinshahr. The range of the changes by varying T min was between -47 % (in Sanandaj) to 0.91 % (in Khalkhal). Manuscript profile -
Open Access Article
13 - Sensitivity Analysis of Parameters Affecting Scour Depth at Downstream of Twin Bridge Piers Using Extreme Learning Machine
siamak amiri mohammad ali izadbakhsh saeid shabanlouBackground and Aim: Local scouring has been identified as one of the important factors that cause the structure of bridges, breakwaters, and piers to rupture. The complexity of the scouring mechanism has made this one of the most important fields of civil engineering st MoreBackground and Aim: Local scouring has been identified as one of the important factors that cause the structure of bridges, breakwaters, and piers to rupture. The complexity of the scouring mechanism has made this one of the most important fields of civil engineering studies. In recent years, many studies have been performed on local scouring around bridge piers. Due to the great importance of predicting and estimating the scour pattern in the vicinity of bridge piers, many studies have been done on this type of structure.Method: In this study, for the first time, using a new extreme learning machine (ELM) method, the scour depth near the foundations of the twin bridges was simulated. First, effective parameters were identified and four ELM models were developed. Then, numerical results were validated using Monte Carlo simulation and the cross-validation method. Then the sin activation function was determined as the best activation function. In addition, ELM results were compared with artificial neural network (ANN) models that ELM models estimated scour values more accurately. Uncertainty analysis was performed for the superior ELM and ANN models and a relationship was proposed for the superior model. Partial derivative sensitivity analysis (PDSA) was also performed for all input parameters.Results: Among the existing activation functions, the sin function had the optimal performance compared to other activation functions. According to the analysis of modeling results, ELM 1 model was introduced as the superior model. This model was a function of all input parameters. Also, by removing the landing number, the accuracy of the numerical model was significantly reduced, so the mentioned parameter was identified as the most effective parameter in scouring modeling around the bases of the twin bridges by the model of Strength training machine.Conclusion: By analyzing the modeling results the superior ELM model was introduced. The results of ELM models were also compared with ANN models, which showed that ELM models simulate scour values more accurately. For the superior ELM model, a relation was proposed to calculate the scour hole depth, and further uncertainty analysis showed that this model had a higher performance than the actual value. In addition, the relative derivative sensitivity analysis for the input parameters showed that with increasing the landing number, the value of the objective function (scour depth) increases. Manuscript profile -
Open Access Article
14 - Sensitivity analysis of meteorological data in estimating reference evapotranspiration with the minimum data using wavelet-neuro-fuzzy, ANN and ANFIS models
ahmadreza karimipour Golnoosh BanitalebiThe aim of this study was to estimate the ET0 in a moderately cold semi-humid climate in a 22-year statistical period by applying a wavelet-neuro-fuzzy model with a minimum number of input parameters.The results were compared with the ANN and ANFIS models to evaluate th MoreThe aim of this study was to estimate the ET0 in a moderately cold semi-humid climate in a 22-year statistical period by applying a wavelet-neuro-fuzzy model with a minimum number of input parameters.The results were compared with the ANN and ANFIS models to evaluate the performance of the wavelet-neuro-fuzzy model, The sensitivity analysis of the input parameters was done in three ways: Hill method, coefficient of determination, and StatSoft. Sensitivity analysis showed that temperature (T), Rs, Ra, mean daily wind speed at 2 meters (U2) and Rn were an effective parameter.Based on the results of the sensitivity analysis, six combinations with these parameters were selected.The results indicate that the wavelet-neural-fuzzy model has a better performance than the artificial neural network model. The results also showed that the estimated ET0 value with three inputs parameters of maximum and minimum temperature and solar radiation using fuzzy-neural-wavelet model was more accurate than the neural network. Based on the coefficient of determination and the amount of calculated error for the artificial neural network and the Anfis, use of the combination of 7 input parameters (Ra, Rn, Rs, U2, Tmean, Tmin and Tmax) and four meteorological input parameters (Ra, U2, Tmean and Tmax) lead to more accurate estimates of ET0 in comparison to the FAO Penman-Monteith method. The results also showed that the highest amount of explanatory factor and the lowest error value among the different wavelets used in the fuzzy-neuro-wavelet model were for the 7 and three input parameters (Tmax, Tmin, Rs), respectively. Manuscript profile -
Open Access Article
15 - Prediction of Scour around Cross-Vane Structures using Generalized Structure of Group Method of Data Handling
ebrahim shahbazbigi fariborz yosefvand behrouz yaghoubi saeid shabanlou ahmad rajabiIn this study, the scour pattern in the vicinity of cross-vane structures with I, U and J shapes in bending channels is simulated by a new artificial intelligence method called "generalized structures group method of data handling” (GSGMDH). Initially, all the par MoreIn this study, the scour pattern in the vicinity of cross-vane structures with I, U and J shapes in bending channels is simulated by a new artificial intelligence method called "generalized structures group method of data handling” (GSGMDH). Initially, all the parameters affecting the scour depth in the vicinity of cross-vane structures are identified and then using these parameters, six different models are defined for each of the GMDH and GSGMDH methods. By analyzing the results yielded by the artificial intelligence models, the superior models are introduced. The GMDH and GSGMDH superior models estimate the scour values in terms of all input parameters. In addition, the accuracy of the GSGMDH models is higher than that the GMDH ones. For example, for the GMDH and GSGMDH superior models, the values of "variance accounted for" in the test mode are calculated 73.075 and 86.408, respectively. Also, the superior model forecasts the objective function values with acceptable accuracy. For example, the correlation coefficient (R), the scatter index (SI), and the Nash-Sutcliffe model efficiency coefficient (NSC) for the GSGMDH superior model in the training mode are approximated 0.913, 0.214 and 0.800, respectively. Based to the results of the sensitivity analysis, the shape factor of cross-vane structures, the ratio of the difference between the upstream and downstream flow depths to the height of the structure and the densimetric Froude number (Fd) are introduced as the most effective input parameters. An uncertainty analysis exhibits that the GSGMDH superior model has an underestimated performance. Manuscript profile -
Open Access Article
16 - Quantitative simulation of surface and groundwater resources in Behshahr - Bandar-e-Gaz Plain Using SWAT model
behrouz mohseni kaka shahedi mahmoud habibnejhad Abdullah Darzi-NaftchaliOptimal management of water resources in a plain with land uses requires proper prediction of water resources response using efficient models. In this research, Soil and Water Assessment Tools (SWAT) model was used to simulate surface and groundwater resources in Behsha MoreOptimal management of water resources in a plain with land uses requires proper prediction of water resources response using efficient models. In this research, Soil and Water Assessment Tools (SWAT) model was used to simulate surface and groundwater resources in Behshahr - Bandar-e-Gaz Plain. After analysis the sensitivity, calibration and validation of the model was performed based on river flow data of 2007- 2013 and 2014- 2017, respectively. Groundwater table simulation was done by simulating the recharge rate per hydrological response unit (HRU). The results of sensitivity analysis showed that the parameters GW_REVAP, GW_DELAY, SHALLST, DEEPST, RCHRG_ DP, ALPHA_BF, SOL_AWC, CN, HRU_SLP, ESCO, USLE_P, OV_N, FILTERW and EPCO were the most sensitive parameters. In order to evaluate of the model, the performance criteria of Nash- Sutcliffe (NS) and Correlation coefficient (R2) were used. In the calibration stage, these coefficients ranged from 0.56 to 0.93 and 0.74 to 1.00, respectively, and in the validation process were in the range of 0.56 to 0.84 and 0.66 to 0.92, respectively, indicating the acceptable accuracy of the model in river flow simulation. Comparing the observed and simulated water table depths, NS (0.81) and R2 (0.91) coefficients indicated the capability of the model to simulate groundwater level. According to the results of the water balance analysis, the most of the total water input to the plain, it’s 60% was used for evapotranspiration and it’s small parts as 18% and 22% allocetaed to surface runoff and infiltration, respectively. Manuscript profile -
Open Access Article
17 - Investigation the effect of ultrasonic pretreatment on drying rate of cherry and process modeling using genetic algorithm-artificial neural network method
F. Salehi M. Inanloodoghouz S. GhazvinehIntroduction: Due to their high moisture content, cherries have a very high rate of spoilage and require the use of some post-harvest treatments in order to be effectively preserved. Drying is one of these preservation methods. Drying time can be shortened by using ultr MoreIntroduction: Due to their high moisture content, cherries have a very high rate of spoilage and require the use of some post-harvest treatments in order to be effectively preserved. Drying is one of these preservation methods. Drying time can be shortened by using ultrasonic waves as a pretreatment before drying agricultural products. The genetic algorithm–artificial neural network method has a high ability to find the optimal value of a complex objective function.Materials and Methods: In this study, the effect of sonication treatment for 0, 3, 6, and 9 minutes on drying time, weight changes, and rehydration of cherries was investigated. In the next step, this process was modeled by genetic algorithm–artificial neural network method with 2 inputs (drying time and ultrasonic pretreatment time) and 1 output (weight loss percentage).Results: The results of this research showed that sonication for up to 3 min increased the rate of moisture removal from cherries and thus reduced drying time. 3-min treatment with ultrasound increased the rehydration of dried cherries; but as the treatment time increased to 6 min and 9 min, the amount of rehydration decreased. Genetic algorithm–artificial neural network modeling results showed that a network with a 1-4-2 structure in one hidden layer and using the hyperbolic tangent activation function can predict the weight loss percentage of cherries during drying with a high correlation coefficient and a low error value. According to the results of sensitivity analysis test, drying time was the most effective factor in changing the weight loss percentage of cherries during the drying process.Conclusion: In general, the best conditions for drying cherries are pretreatment with ultrasound for 3 minutes followed by drying the product with hot-air. Based on the modeling results, the genetic algorithm–artificial neural network method can also be used to predict the parameters of the cherry drying process. Manuscript profile -
Open Access Article
18 - Modeling of Peach Drying Process using Infrared Dryer by Genetic Algorithm Method
F. Salehi S. H. Hosseini GhaboosIntroduction: Due to low energy efficiency and prolonged drying time of agricultural products by conventional methods, application of the new techniques such as infrared radiation, has been investigated. Materials and Methods: In this study, in order to dry and increase MoreIntroduction: Due to low energy efficiency and prolonged drying time of agricultural products by conventional methods, application of the new techniques such as infrared radiation, has been investigated. Materials and Methods: In this study, in order to dry and increase the shelf life of peach, infrared radiation (IR) method has been employed. The effect of infrared lamp power at three levels 150, 250 and 375 watts, the distance of the samples from the lamp at three levels 5, 7.5 and 10 cm and at 1 minute intervals for up to 120 minutes on drying of peach were examined. Modeling of process was carried out with genetic algorithm–artificial neural network (GA-ANN) method with 3 inputs (lamp power, distance and time) and1output (weight loss). Results: The results of infrared drying of peach showed that by increasing the lamp power and decreasing the sample distance from the heat source, the drying rate is increased. By increasing the infrared lamp power from 150 to 375 watt, the weight loss is increased from 39.4 to 87.50 % and with increase in 250 watt lamp distance from 5 to 10 cm, the weight loss is decreased from 87.6 to 73.5 % for the sample. The GA-ANN modeling results showed that a network with 13 neurons in 1 hidden layer with using hyperbolic tangent activation function can predict the weight loss in peach drying using infrared method (R=0.9991). Conclusion: Sensitivity analysis results by optimum ANN showed that drying time is the most sensitive factor to control the weight loss of peach slides. Manuscript profile -
Open Access Article
19 - Prediction of Drying Time and Moisture Content of Wild Sage Seed Mucilage during Drying by Infrared System Using GA-ANN and ANFIS Approaches
Ghazale Amini Fakhreddin Salehi Majid Rasouli -
Open Access Article
20 - Prediction of Methyl Salicylate Effects on Pomegranate Fruit Quality and Chilling Injuries using Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network
M. Sayyari F. Salehi D. Valero -
Open Access Article
21 - Basin of Namak Lake Using Statistical, DRASTIC and P-DRASTIC Methods
Javad Samadi Naghmeh Mobarghei dinanBackground and Purposes: Statistical methods are widely used in environmental studies to evaluate natural hazards. Within groundwater vulnerability in particular, statistical methods are used to support decisions about environmental planning and management. In this stud MoreBackground and Purposes: Statistical methods are widely used in environmental studies to evaluate natural hazards. Within groundwater vulnerability in particular, statistical methods are used to support decisions about environmental planning and management. In this study, the optimized of DRASTIC, Pesticide DRASTIC model parameters and land use layers (LU) were used to assess of pollution risk in catchment basin aquifer in south of Namak lake using of statistical methods. Methods: Information layers were prepared, rated (deterministic and fuzzy-statistical), weighted (original and statistical) and combined (by Index-Overlay method) in GIS environment. For modeling, from nonlinear regression for fuzzy-statistical rating (scaling) and the Pearson correlation coefficients between of nitrate concentrations with scaling parameters of DRASTIC, P-DRASTIC model and sensitivity analysis (removal and single-parameter) were performed to determine and modify of parameters weighted. Results: As result P-RASIC-LU and RASIC-LU model with statistical rating and weighting, removal-parameter sensitivity analysis, determine as best selection model based on correlation coefficient = 62%, P-value = 0.01 and with parameters of net recharge, aquifer media, soil media, impact of vadose zone, hydraulic conductivity and land use with the weighty values of 3.1, 4.0, 4.1, 3.1, 2, 2 and 2.5, 4.63, 4.15, 3.03, 2, 1.96 consequently. According to this model, western and southern parts of the aquifer has high pollution risk due to high net recharge and coarse-grain material in the impact of vadose zone, soil and aquifer media. Conclusion: Since reviewing of weight and rank of model parameters is limited personal opinions and increased model validation using statistical methods and GIS, It can be expected that favorable results to be followed for optimization of pollution risk model. Manuscript profile -
Open Access Article
22 - Modeling and sensitivity analysis of water quality in Meymeh reservoir using CE-QUAL-W2 Software
nima heidarzadeh nasim Neysari tabriziBackground and Objective: Water quality of lakes and reservoirs is affected by many factors. Precipitation, inflow and outflow, inlet water quality and water abstraction level are the most important ones. Informing about the magnitude of the factors can help us to choos MoreBackground and Objective: Water quality of lakes and reservoirs is affected by many factors. Precipitation, inflow and outflow, inlet water quality and water abstraction level are the most important ones. Informing about the magnitude of the factors can help us to choose the best abstraction level and water quality management in different periods of a year, efficiently. Method: In this study, water quality of the Meymeh reservoir, an under-construction dam, was evaluated by modeling of TDS using the 2-dimensional CE-QUAL-W2 software with available data, for a 5-year period. Findings: The modeling results show that the amount of outflow TDS in all five years has exceeded the FAO permissible level for irrigation. Also, in order to evaluate the impacts of several factors on outflow TDS and choose the suitable solution to improve the quality of water, a sensitively analysis was performed. Discussion and Counclution: The results of the sensitivity analysis showed that the quality of inflow water is the most effective factor on the outflow water quality, so that a 20% change in inflow TDS causes 18-20% change in outflow TDS and the other factors such as temperature, initial values of TDS in reservoir, wind sheltering coefficients (WSC), eddy viscosity and the diffusivity coefficient (AX, DX) do not have significant impacts. Manuscript profile -
Open Access Article
23 - Assessing the Socio – Economic Rural Development Level of Golestan Province Townships Using Topsis and Entropy Methods
Sahar Saeidi Abdolrassoul Salmanmahiny Sepideh Saeidi Background and Objective: The level of human life has always been in progress with the development of science and human knowledge, but this growth has not been uniform in all areas and consequently different communities with different socio - economic development More Background and Objective: The level of human life has always been in progress with the development of science and human knowledge, but this growth has not been uniform in all areas and consequently different communities with different socio - economic development levels have been created. Using regional planning seems to be a necessity to reduce these inequalities. The goal of the present research is to assess and rank the socio – economic rural development level of Golestan Province townships. Method: Entropy and TOPSIS methods were used to weight the criteria and prioritize the cities. Tweleve criteria in four main categories including population, transportation, welfare and healthcare were selected to measure the socio – economic rural development levels. Findings: The results showed that Gonbad Kavoos has the first rank with a coefficient of 0.92 and Bandar gaz has last rank with a coefficient of 0.12. After calculating the development rates, townships were divided into one of the high, medium, low and very low classes. Finally, sensitivity analysis with seven repetitions was implemented to ensure the consistency of the results. Discussion and Counclusion: The results of this research can be used as a model to design proper growth and development plans for Golestan Province townships. Manuscript profile -
Open Access Article
24 - Assessment of Groundwater Quality Index (GWQI) and its Geostatistical Analysis in Lordegan Plain Aquifer
Yaser Ostovari MOHAMMAD RAVANB Alireza DavoudianBackground and Objective: Groundwater quality index is an important tool for determination of drinking water quality. The objective of this study was to assess and map groundwater quality index in Lordegan aquifer. Method: In this study, 32 agricultural wells were sampl MoreBackground and Objective: Groundwater quality index is an important tool for determination of drinking water quality. The objective of this study was to assess and map groundwater quality index in Lordegan aquifer. Method: In this study, 32 agricultural wells were sampled for 4 times in 2010. pH, electrical conductivity, turbidity, total suspended and dissolved solids, total hardness, nitrate, sulfate, chloride, calcium, magnesium, sodium and potassium were measured in each sample. Using the measured values, groundwater quality index was calculated for each sample. Findings: Groundwater quality index varied between 44 and 74, indicating the suitable and moderate quality of water for drinking purpose. Spatial pattern of groundwater quality index was best described by the Gaussian variogram and ordinary kriging was used for mapping the groundwater quality index. Based on the groundwater quality index map, the larger part of the aquifer located in the northern side had a moderate quality and the smaller part located in the southern side had a suitable quality. Turbidity and electrical conductivity had the greatest impact on groundwater quality index. Groundwater quality index was also lightly sensitive to these two parameters. Conclusion: Further studies are needed to determine the suitability of groundwater quality index in Lordegan aquifer and to calibrate groundwater quality index classification in aquifers such as Lordegan. Manuscript profile -
Open Access Article
25 - Performing Sensitivity Analysis of Municipal Wastewater Treatment Process Using AHP
Mahnaz Hosseinzadeh Kalkhoran Shahnaz Hosseinzadeh Ebrahim FataeiBackground and Objective: One of the main issues before the design and construction of any wastewater treatment plant is the selection of the optimal wastewater treatment process, since the wrong choice can have considerable effect in increasing expense, and also led to MoreBackground and Objective: One of the main issues before the design and construction of any wastewater treatment plant is the selection of the optimal wastewater treatment process, since the wrong choice can have considerable effect in increasing expense, and also led to unattainable and undesired result. Method: The current study used the Analytic Hierarchy Process (AHP) model to determine the effective criteria in the selection of the appropriate wastewater treatment process, are developing in cities such as Ardebil, Tabriz, and Uremia in order to prioritize and choose the most appropriate treatment process. In such cities the treatment process involved: Aerated Lagoon, Activated sludge, and Biolak. Based on the technical, economic and environmental criteria and related sub-criteria, the processes are weighted through pair wise comparison and the results obtained are assessed using the Expert Choice software. Findings: Finally, Biolak was selected as the optimal process and Activated Sludge and Aerated Lagoon were respectively placed in the next priorities. Sensitivity Analysis is performed on the major factors to investigate the sensitivity of the alternatives in order to apply changes in the priorities of the criteria. Manuscript profile -
Open Access Article
26 - The Fuzzy Mean-Entropy Portfolio Model : Sensitivity Analysis, Transaction Costs Based on Credibility Theory
Mahmoud Lari Dashtbayaz Shaban Mohammadi Nader NaghshbandiThe purpose of this study is to investigate the stock portfolio model based on the average entropy in a fuzzy environment with transaction costs based on the theory of credit for 10 stocks in Tehran Stock Exchange in 1396.The present study is not based on average-entrop MoreThe purpose of this study is to investigate the stock portfolio model based on the average entropy in a fuzzy environment with transaction costs based on the theory of credit for 10 stocks in Tehran Stock Exchange in 1396.The present study is not based on average-entropy based models but on the sensitivity analysis of the target function coefficients and the limiting coefficients, especially in maximizing the recursive model and the minimum risk model. Entropy and sensitivity analysis were used to measure the risk and the coefficients of the objective function and the limitations. The results show that when the coefficients change in the range of values, either the optimized answer or the fixed values of the objective function are obtained. The research results help investors to be more confident in their choices. Manuscript profile -
Open Access Article
27 - A New Combinational Model for the Audit Quality and Sensitivity Analysis of Its Effective Criteria
Ali Lalbar Majid Zanjirdar Fatemeh Varvani FarahiThe purpose of the present research is to represent a model and validate that to assess the audit quality of the accepted corporations in Tehran Stock Exchange. The first statistical population of the research consists of the scholars fully aware of the theoretical prin MoreThe purpose of the present research is to represent a model and validate that to assess the audit quality of the accepted corporations in Tehran Stock Exchange. The first statistical population of the research consists of the scholars fully aware of the theoretical principles of the audit quality and experts in this regard and the second statistical population involves all the accepted corporations in Tehran Stock Exchange. In the qualitative part, 15 experts were chosen by purposive sampling and in the quantitative part, 147 active corporations during 2014 to 2020 were selected by systematic deletion. After studying the theoretical foundations of the research, a questionnaire based on a 5 point Likert scale was designed to recognize the effective criteria of the research. Then, using Friedman ranking method, the most effective component and its degree was determined. Finally, for the validation and sensitivity analysis, the proposed model was applied by using the obtained data from the qualitative part of the research and the calculation of the portion of each component in fluctuation of the total index. The results showed that the effective factors on audit quality can be classified into 2 main categories, 4 main components, and 20 singular indicators and that the main aspects determining the audit quality include the features of the institute and audit team, the effectiveness of the audit committee, properties of the employer, macro factors, profession, and environmental factors. Moreover, the main indicators and components do not have equal priority in determining the audit quality. It means that the more the average ranking of each aspect, the more its significance in determining the audit quality. Among 10 indicators existing in the combinational criterion of the audit quality, the only indication that is considered as the most important one in destabilizing the combinational index and one of the important ones in decreasing the average of combinational index is the audit wage which is one of the main indices in the features of the institute and the audit team. Manuscript profile -
Open Access Article
28 - Sensitivity Analysis for Optimal Design of Multibody Systems with Clearance Joint
Saeed Ebrahimi Esmaeil Salahshoor Saeed Nouri -
Open Access Article
29 - Modelling of Friction Stir Extrusion using Artificial Neural Network (ANN)
Mohammad Ali Ansari Reza Abdi Behnagh Dong Lin Sarang Kazeminia -
Open Access Article
30 - Sensitivity Analysis of Piezoelectric Microcantilever Excitability as Resonator
Reza Ghaderi -
Open Access Article
31 - Vibration Analysis and Sensitivity Analysis of Semi-Submerged Multilayer Piezoelectric Microcantilever
Mohamadreza Khosravi Reza Ghaderi -
Open Access Article
32 - Optimizing the Control of DFIG Based Wind Turbines Using Sensitivity Analysis and Particle Swarm Optimization Method
Meysam Jaberolansar Mohammad Mahdi Rezaei Hamed Khodadadi Seyed Mohammad MadaniOne of the key issues in the optimal operation of DFIG-based wind turbines is the optimization of relatively large control parameters that exist in these systems. However, the main problem is the high number of control parameters and the nonlinearity of the model of the MoreOne of the key issues in the optimal operation of DFIG-based wind turbines is the optimization of relatively large control parameters that exist in these systems. However, the main problem is the high number of control parameters and the nonlinearity of the model of these systems, which makes solving the optimization problem very time-consuming and divergent in some cases. In this article, in order to optimize the control parameters, a method based on particle swarm optimization (PSO) is proposed. In this method, after linearization of the system model, the eigenvalues of the system are extracted as a function of the control parameters. By examining the sensitivity of eigenvalues to control parameters, more sensitive parameters are identified and optimized based on the PSO method. The performance of the proposed method has been investigated through simulation in the MATLAB software environment. Manuscript profile -
Open Access Article
33 - Sensivity analysis of the effective input parameters upon the population flactuation of the sunn pest adult insect using Artificial Neural Network
Zahra Dustiy Naser Moeini naghadeh Abbas Ali Zamani Leila NaderlooThe Sunn pest, Eurygaster integriceps Put. is the most important pest of wheat and barley in Iran. Many studies have shown that various biotic and abiotic environmental factors affect the population of this pest. In this study, the relationship between population densit MoreThe Sunn pest, Eurygaster integriceps Put. is the most important pest of wheat and barley in Iran. Many studies have shown that various biotic and abiotic environmental factors affect the population of this pest. In this study, the relationship between population density of the Sunn pest adult insect with different environmental factors including sampling date, average daily temperature, average relative humidity, wind speed, wind direction, height from sea level and degree-day was investigated. Field data were collected from two wheat farm of one-hectare in the city of Chadegan, Isfahan province. The used network type was multilayer perceptron with back propagation algorithm and the learning algorithm was Levenberg-Markvart. After sensitivity analysis due to the ease of the model and extraction of effectiveness of factors including four factors of sampling date, temperature, humidity and wind speed were selected. The results showed that a neural network with two hidden layer, 7 neuron in the first hidden layer and three neuron in the second hidden layer, as a sigmoid activation function, and a data percentage of 60, 30, 10 for training, testing and validation for prediction of population fluctuation of the Sunn pest adult insect is used (R2= 0.94). Manuscript profile -
Open Access Article
34 - Super-Efficiency and Sensitivity Analysis in DEA for the Case of Exogenously Fixed Inputs
Mehrab Esmaeili -
Open Access Article
35 - The sustainability radius of the cost efficiency in Interval Data Envelopment Analysis: A case study from Tehran Stocks
Esmaeil Mombini Mohsen Rostamy-Malkhalifeh Mansour Saraj -
Open Access Article
36 - A New Method of Sensitivity Analysis of Returns to Scale in Two-Stage Network; A Case Study of the Insurance Industry in Iran
Maryam Sarparast Farhad Hosseinzadeh Lotfi Alireza Amirteimoori Mohsen Rostamy-MalkhalifehOne important issue in data envelopment analysis (DEA) which has been studied by many researchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage networks in returns to scale variable and introduced a new definition to MoreOne important issue in data envelopment analysis (DEA) which has been studied by many researchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage networks in returns to scale variable and introduced a new definition to determine return to scale classification in two-stage networks. The current article proposed an approach for determining the stability region of returns to scale classification in two-stage network DEA. The data were collected from insurance companies in Iran in 2019. We consider the insurance industry process as a two-stage network; the stage of marketing and that of investment. The effectiveness of insurance companies was evaluated, and, after determining the classification of returns to scale, we found a sustainability interval to classify returns to their scale. Manuscript profile -
Open Access Article
37 - Intelligent prediction of heating value of coal
A. K. Verma T. N. Singh M. MonjeziThe gross calorific value (GCV) or heating value of a sample of fuel is one of the important properties which defines the energy of the fuel. Many researchers have proposed empirical formulas for estimating GCV value of coal. There are some known methods like Bomb Calor MoreThe gross calorific value (GCV) or heating value of a sample of fuel is one of the important properties which defines the energy of the fuel. Many researchers have proposed empirical formulas for estimating GCV value of coal. There are some known methods like Bomb Calorimeter for determining the GCV in the laboratory. But these methods are cumbersome, costly and time consuming. In this paper, multivariate regression analysis and Co-active neuro-fuzzy inference system (CANFIS) backed by genetic algorithm technique is used for the prediction of GCV, taking all the major constituents of the proximate and ultimate analyses properties as input parameters and the suitability of one technique over the other has been proposed based on the results. Correlations have been developed using multivariate regression analysis that are simple to use based on the proximate and ultimate analysis of data sets from 25 different states of USA because a very through study has been done and the data available is less variable. Also, CANFIS backed by genetic algorithm model is designed to predict the GCV of 4540 US coal samples from the abovementioned datasets. Optimization of the network architecture is done using a systematic approach (genetic algorithm). The network was trained with 4371, cross validation with 100, predicted with rest 69 datasets and the predicted results were compared with the observed values. The mean average percentage error in prediction is found to be negligible (0.2913%) and the generalization capability of the model was established to be excellent. A useful concept of sensitivity analysis is adopted to set the hierarchy of influence of input factors. The results of the present investigation provide functional and vital information for prediction of GCV of any type of coal in USA. Manuscript profile -
Open Access Article
38 - بررسی آزمایشگاهی ضریب دبی در سازه ترکیبی سرریز- دریچه با ایجاد کنگرههای مثلثی شکل در بال سرریز
امیر رضا بهره بر حسین آذر پیوند رسول فرهادیترکیب سرریز با دریچه باعث ایجاد تغییراتی در ضریب­دبی می‎گردد. سازه ترکیبی سرریز- دریچه به دو منظور اندازهگیری دبی جریان و جلوگیری از انباشته شدن رسوبات در زمستان که آب گل‎آلود می­باشد، در پشت سرریز بکار می‎رود. در این پژوهش با طراحی و ساخت چهار مدل Moreترکیب سرریز با دریچه باعث ایجاد تغییراتی در ضریب­دبی می‎گردد. سازه ترکیبی سرریز- دریچه به دو منظور اندازهگیری دبی جریان و جلوگیری از انباشته شدن رسوبات در زمستان که آب گل‎آلود می­باشد، در پشت سرریز بکار می‎رود. در این پژوهش با طراحی و ساخت چهار مدل ترکیبی سرریزهای کنگره­ای مربعی همراه با دریچه، تاثیر پارامترهای هیدرولیکی از جمله فشار آب روی سرریز (h) و پارامترهای هندسی از جمله ارتفاع روزنه (a) عرض دریچه (b) و فاصله بین بالای روزنه تا راس مثلث (y)، بر ضریب­دبی مورد بررسی قرار گرفتند. نتایج آزمایشات نشان داد که ضریب­دبی با افزایش نسبت‎های h/y،h/b و h/aبی­بعد کاهش می­یابد و مدل ترکیبی بیشتر عملکردی شبیه به دریچه دارد. همچنین رابطه­ای جهت تخمین ضریب­دبی جریان با ضریب همبستگی 98/0 ارائه شد. تحلیل حساسیت رابطه نشان داد که نسبت بی‎بعد h/y دارای بیشترین حساسیت و تاثیر را دارا می­باشد و در نهایت اینکه در جاهایی که محدودیت عرض سرریز وجود دارد با اجرای این نوع سرریزها و از همه مهم‎تر با ایجاد دریچه در بدنه سرریز یعنی به حالت ترکیبی میزان دبی عبوری افزایش خواهد یافت که بسیار حائز اهمیت می­باشد. Manuscript profile -
Open Access Article
39 - پیش بینی و آنالیز حساسیت تبخیر ماهانه از مخزن سد سیاه بیشه با استفاده از شبکههای عصبی مصنوعی در ترکیب با الگوریتم ژنتیک
آزاده محمدیان شوئیلی حسن فتحیان مهدی اسدی لورفرآیند تبخیر، یکی از مؤلفههای اصلی چرخه آب در طبیعت است که نقش اساسی در مطالعات کشاورزی، هیدرولوژی و هواشناسی، بهره برداری از مخازن، طراحی سیستمهای آبیاری و زهکشی، زمان بندی آبیاری و مدیریت منابع آب ایفا میکند. روشهای زیادی از جمله روشهای بیلان آب، تبخیر از تشت و ر Moreفرآیند تبخیر، یکی از مؤلفههای اصلی چرخه آب در طبیعت است که نقش اساسی در مطالعات کشاورزی، هیدرولوژی و هواشناسی، بهره برداری از مخازن، طراحی سیستمهای آبیاری و زهکشی، زمان بندی آبیاری و مدیریت منابع آب ایفا میکند. روشهای زیادی از جمله روشهای بیلان آب، تبخیر از تشت و روشهای تجربی برای تخمین تبخیر از سطح آزاد، ارائه شده است که هر کدام از این روشها، با محدودیت و خطای اندازه گیری توأم میباشد. امروزه تکنیک جدید استفاده از شبکههای عصبی مصنوعی که مبتنی بر هوش مصنوعی میباشد کاربرد گسترده ای در زمینههای مختلف علمی به ویژه مهندسی آب پیدا کرده است. در این تحقیق با استفاده از مدل شبکه عصبی مصنوعی پرسپترون چند لایه(MLP)، شبکه تابع پایه شعاعی (RBF) و شبکه پیش رونده(FF)،میزان تبخیر ماهانه از مخزن سد سیاه بیشه تا 3 ماه آیندهپیش بینی شد. برای تعیین متغیرهای ورودی مؤثر در مدلهای شبکه عصبی مصنوعی و تعداد نرونها در لایه میانی هر یک از مدلها، از قابلیت بهینه سازی الگوریتم ژنتیک استفاده شد. نتایج نشان میدهد که ضریب همبستگی بین مقادیر اندازه گیری شده و محاسبه شده با مدلهای RBF ، MLPو FFدر برآورد و پیش بینی تبخیر ماهانه از مخزن سد سیاه بیشه به ترتیب برابر با 92/0، 90/0 و 88/0 میباشد. بنابراین مدل RBF از دقت بیشتری نسبت به دو مدل MLP وFFدر برآورد و پیش بینی میزان تبخیر ماهانه از مخزن سد، برخوردار میباشد. نتایج حاصل از آنالیز حساسیت نشان میدهد که تبخیر ماهانه از مخزن سد تا 3 ماه آینده به ترتیب نسبت به زمان وقوع تبخیر بر حسب ماه، فشار هوا در سطح زمین در 1 ، 3 و2 ماه قبل، سرعت باد در سطح 1000 میلی بار در 3 و 2 ماه قبل و دمای هوا در سطح 300 میلی بار در زمان حال بیشترین حساسیت را دارد. Manuscript profile -
Open Access Article
40 - An analysis of the cost index of renewable energy production in Iran (Case study: home scale photovoltaic power plant)
Shirin Azizi Reza Radfar Hanieh Nikomaram Ali RajabzadehRenewable energy plays significant role in achieving energy savings and emissions reduction. As a ‎sustainable and environmental friendly renewable energy source, solar photovoltaic (PV) is of ‎interest for research and development. However, the cost of PV gener MoreRenewable energy plays significant role in achieving energy savings and emissions reduction. As a ‎sustainable and environmental friendly renewable energy source, solar photovoltaic (PV) is of ‎interest for research and development. However, the cost of PV generation and determining FIT ‎based on it is a factor hampering the commercialization of this emerging industry. This paper uses a ‎mathematical model of the levelized cost of energy (LCOE) to calculate the power generation cost ‎of PV projects on the basis of lifetime cost structure analysis. The minimum amount of guaranteed electricity purchase is calculated by it.A sensitivity analysis is conducted to ‎examine the impact of different variables on the LCOE of PV projects. The results of sensitivity ‎analysis showed that the capacity factor is the most influential variable in determining the LCOE ‎value. This research provides support for government to formulate incentive policies for the ‎industry And thus offers the development of the use of renewable energy. Manuscript profile -
Open Access Article
41 - A Method for Sensitivity Analysis and Frequency Updating of Shear Buildings
Mohamad Reza TabeshpourDetermining the sensitivity of vibratory characteristics of a dynamic system (frequencies and mode shapes) due to changes in its mass or stiffness properties is of significant importance. The original algorithms developed were on the basis of the first order sensitivity MoreDetermining the sensitivity of vibratory characteristics of a dynamic system (frequencies and mode shapes) due to changes in its mass or stiffness properties is of significant importance. The original algorithms developed were on the basis of the first order sensitivity analysis. However, due to the limitations of these methods, extensive studies performed to develop more efficient methods for this purpose. The second order sensitivity analyses based methods are among the developed algorithms. Both the first and second order sensitivity analyses algorithms lead to acceptable results for only small changes in mass and stiffness of dynamic systems. In this paper, a new method for frequency updating of shear systems is presented based on shear building properties. The method is simple and needs less computation time compared to other methods. An iterative algorithm is developed by which the frequencies of the modified shear system can be determined to the desired accuracy. Since the tuning of the dynamic characteristics of the shear building systems has an important role in controlling their response against external loading, especially earthquake loading, this method can perform efficiently in frequency updating of the system. The performance of the proposed method is investigated using some numerical examples. Manuscript profile -
Open Access Article
42 - Sensitivity analysis of Manning roughness coefficient of rivers in HEC-RAS model to determine flood zones (case study: Ker River- Fars province)
vahid sohrabi Farshid Hashmipour Petkoi Hamid Sheikhpur ShahiIntroduction: Rivers are one of the few natural phenomena that, despite the countless damages they have caused to humans since a long time ago, due to their special impact on human life and the formation of civilizations, humans have always been called to the lands alon MoreIntroduction: Rivers are one of the few natural phenomena that, despite the countless damages they have caused to humans since a long time ago, due to their special impact on human life and the formation of civilizations, humans have always been called to the lands along the river. In Iran, due to its large size, multiple climates, and temporal and spatial density of rains in most watersheds, huge floods have been witnessed in most regions of the country every year, many of which cause a lot of human and financial losses.Methodology: In this research, 10 km long stretches of the Ker River (downstream of the Chamriz Hydrometric Station) were selected, and after preparing the statistics of the maximum instantaneous discharge of the river in two states before and after the construction of the Molla Sadra Dam, the effect of the construction of the dam on the river flow Checked out. Then, taking into account the river discharge per discharge with a return period of 25 years for two situations before and after the construction of the dam, the permanent flow model of the mentioned river was prepared by HEC-RAS software and then compared with each other. In the following, based on discharge with a return period of 25 years after the construction of the dam, the Manning roughness coefficient was changed to 50% of the initial value and the HEC-RAS model was implemented again. The construction of the said dam has caused some parameters such as water level, water flow speed, water flow area, flow rate in the river and also the flood of its plains to decrease.Results: The results of the sensitivity analysis of some parameters in relation to Manning's roughness coefficient showed that with the decrease of Manning's roughness coefficient, some parameters such as water level and flow area also decrease and parameters such as water flow speed, river discharge, river discharge on the right bank and the left increases and vice versa. Manuscript profile -
Open Access Article
43 - An analytical model for estimating the reliability of critical software systems by considering the self-healing property of bottleneck components
Ali Tarinejad Habib Izadkhah Mohammad Reza MollaHosieni Kamal Mirzaie -
Open Access Article
44 - Economic (Cost-Benefit) Analysis of Power Generation from Commercial Reinforced Concrete Solar Chimney Power Plant Built in the Desert Regions of Iran
Farhad Saleki Baghban Hosein Nasir Aghdam -
Open Access Article
45 - Effects of Probability Function on the Performance of Stochastic Programming
Mohammad Ebrahim Karbaschi Mohammad Reza Banan -
Open Access Article
46 - Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives
Azizollah Memariani Abbas Amini Alireza Alinezhad -
Open Access Article
47 - Sensitivity Analysis of TOPSIS Technique: The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives
Alireza Alinezhad Abbas Amini -
Open Access Article
48 - Sensitivity Analysis in the QUALIFLEX and VIKOR Methods
Alireza Alinezhad Nima Esfandiari -
Open Access Article
49 - Finite element modeling of a pavement piezoelectric energy harvester
Ehsan Latifi Pakdehi Ali Akbar Pasha Zanoosi -
Open Access Article
50 - Prioritization of effective factors on tax culture of Stan Kerman Tax Office with the combined method of GRA-VIKOR under fuzzy environment
maryam lashkarizadeh -
Open Access Article
51 - Performance Optimization and Sensitivity Analysis of Junctionless FinFET with Asymmetric Doping Profile
Zahra Ahangari Ehsan Asadi Seied Ali Hosseini -
Open Access Article
52 - Performance Optimization and Sensitivity Analysis of Junctionless FinFET with Asymmetric Doping Profile
Zahra Ahangari Ehsan Asadi Seied Ali Hosseini -
Open Access Article
53 - Optimal Location and Determination of Fault Current Limiters in the Presence of Distributed Generation Sources Using a Hybrid Genetic Algorithm
Salman Amirkhan Mostafa Rayatpanah Ghadikolaei Hassan Pourvali Souraki -
Open Access Article
54 - Calculation of Elasticity of CO2 Emission Intensity of Energy-Intensive Industries with the Approach of Identifying Important Input-Output Coefficients
Elaheh Shareie Ali Faridzad ali asghar banoueiAbstract &nbs MoreAbstract The purpose of this study is to analyses the effect of changes in technology and distribution of economic sectors on CO2 emission intensity of the first five Iranian energy intensive industries used identifying Important Coefficients based on 2011 input-output table. The results of two Leontief Demand-Driven and Ghosh Supply-Driven Approaches show that one percent changing in technology of production and distribution of product of chemical materials and chemical products manufacturing, coking, processing of petroleum and nuclear fuel and manufacture of basic metal products will reduce more than one percent of CO2 emissions intensity. Since that mentioned sectors are in inappropriate condition due to their great potential CO2 emissions intensities, hence it is essential to make emission reduction policies about these sectors to reduce CO2 emissions intensity significantly. Manuscript profile -
Open Access Article
55 - Investigation of the effective factors for eliminating the defect in the CFT columns with an asymmetric L-shaped columns by the finite element Analysis
seyed ali mousavi davoudi morteza naghipourThe use of CFT-filled steel columns is increasing worldwide due to the proper co-operation of concrete and steel, with more concrete steel columns being implemented in circular shapes, which is due to the fact that the core concrete is more enclosed with the circular cr MoreThe use of CFT-filled steel columns is increasing worldwide due to the proper co-operation of concrete and steel, with more concrete steel columns being implemented in circular shapes, which is due to the fact that the core concrete is more enclosed with the circular cross-sections, but sometimes it is impossible to use symmetrical cross sections and other forms such as L-shaped crosses are used, which create less confinement for the core because of their asymmetry. This issue decreases the bearing capacity on these columns formed by an asymmetric L-section. The aim of this study was to study the asymmetric L-shaped cross-section of steel-filled concrete columns in order to provide the reduction of confinement due to effective parameters such as height, steel cross-section thickness and compressive stress. In this investigation, steel wall thickness, height, and compressive strength of concrete on the effect of securing core concrete confinement in L-shaped sections under finite element analysis were observed that the effect of steel wall thickness (t) in L-shaped cross-sections is one of the most effective parameters to remove the confinement defect that the impact of this effect is, on average, about 18.31% more higher than the parameters of height and compressive strength of concrete. Finally, it was concluded that the asymmetric L-shaped sections would be more confined by changing the thickness of the steel wall compared to the concrete compressive strength and height parameter. Manuscript profile -
Open Access Article
56 - Stochastic Sensitivity Analysis in Data Envelopment Analysis
Nasim Arabjazi Mohsen Rostamy-Malkhalifeh Farhad Hosseinzadeh Lotfi Mohammad Hasan Behzadi -
Open Access Article
57 - Sensitivity Analysis Algorithm to Measure Fuzzy Efficiency Security Margin of DMUs: A New FDEA approach
Fatemeh Komaki Reza Fallahnejad Farhad Losseinzadeh Lotfi Mohsen Rostamy_Malkhalifeh -
Open Access Article
58 - تجزیه تحلیل حساسیت درتحلیل پوششی داد ها ی دو مرحله ای
آتنا فرقانی اسماعیل نجفیتحلیل پوششی داده ها (DEA) یکی از روش های اندازه گیری بهره وری واحد های تصمیم گیری (DUMها) است که مجموعه ای از ورودی برای تولید مجموعه ای از خروجی ها مورد استفاده قرار می گیرند. در برخی موارد DMUs دارای ساختار دو مرحله می باشند، که در مرحله اول با بهره گیری از ورودی به خ Moreتحلیل پوششی داده ها (DEA) یکی از روش های اندازه گیری بهره وری واحد های تصمیم گیری (DUMها) است که مجموعه ای از ورودی برای تولید مجموعه ای از خروجی ها مورد استفاده قرار می گیرند. در برخی موارد DMUs دارای ساختار دو مرحله می باشند، که در مرحله اول با بهره گیری از ورودی به خروجی، به عنوان ورودی دوم مرحله نهایی تولید خروجی استفاده می شود. یک مسئله مهم در دو مرحله DEA حساسیت نتایج تجزیه به انحرافات داده است. مقاله فعلی مدل ترکیبی برای دو مرحله DEA و آنالیز حساسیت امر DMUها درتمام مرز به نظر می رسد. در واقع شرایط لازم و کافی برای حفظ کارایی طبقه بندی DUMها زمانی که تغییرات داده های مختلف به تمام DMUs اعمال شده توسعه یافته است. Manuscript profile -
Open Access Article
59 - بکارگیری تئوری محدودیت ها در برنامه ریزی و مدیریت تولید-مطالعه موردی
Ahmad Hooshmand Ali Reza Mehrazeen Ali Reza Davoody Mohamad Reza Shorvarziتغییرات مستمر در کسب و کار ،موجب گردید که محیط تجاری پویا شود و ضرورت بهره گیری از اطلاعات در تصمیم گیری و مدیریت افزایش یابد.درک و شناخت این محیط به اهمیت نقش حسابداری مدیریت به عنوان پارادایمی نوین در ادامه تکامل دانش حسابداری کمک شایانی می کند. نتیجه این تغییرات ،موج Moreتغییرات مستمر در کسب و کار ،موجب گردید که محیط تجاری پویا شود و ضرورت بهره گیری از اطلاعات در تصمیم گیری و مدیریت افزایش یابد.درک و شناخت این محیط به اهمیت نقش حسابداری مدیریت به عنوان پارادایمی نوین در ادامه تکامل دانش حسابداری کمک شایانی می کند. نتیجه این تغییرات ،موجب تغییر در رویکردها و دیدگاههای حسابداری مدیریت می شود.از جمله این تغییرات محدودیت هایی است که در خط مشی و سیاستها، تقاضا و فرایند تولید در موسسات تولیدی ایجاد شده که تنها راه دستیابی به حداکثر سود صرفا با تعیین ترکیب تولید محصولات بر اساس محدودیت های موجود است. در این تحقیق با شناسایی محدودیت های یک شرکت تولید کننده کاشی که شامل محدودیت درخط تولید و تقاضا می باشد، ضمن شناسایی گلوگاه تولید که قسمت کوره می باشد، با استفاده از نرم افزار LINGOورژن15، برنامه ریزی تولید تدوین و بر روی متغیرها و اقلام سمت راست تحلیل حساسیت انجام شده است Manuscript profile -
Open Access Article
60 - SENSITIVITY ANALYSIS IN LINEAR-PLUS-LINEAR FRACTIONAL PROGRAMMING PROBLEMS
ب. خیرفام -
Open Access Article
61 - Optimization of Energy Consumption in Milk Production Units through Integration of Data Envelopment Analysis Approach and Sensitivity Analysis
ح. سلطانعلی ب. عمادی ع. روحانی م. خجستهپور ا. نیکخواه -
Open Access Article
62 - Characterizing a Subset of the PPS with Radial Projection Point on a Prespecified Hyperplane
Najmeh Malekmohammadi Amin Mostafaee -
Open Access Article
63 - Assessment of distance-based multi-attribute group decision-making methods from a maintenance strategy perspective
Siew-Hong Ding Shahrul Kamaruddin -
Open Access Article
64 - Optimum Design of Reinforced Concrete Cantilever Retaining Walls by Cuckoo Optimization Algorithm (COA)
Mehdi Shalchi Tousi Samane Laali -
Open Access Article
65 - Investigating The Determinants of Exchange Rate and Forecasting the Future Trend Using Econometrics and Machine Learning
Alireza Orangian Behzad Bolourian Elaheh OrangianThe main purpose of this paper is to investigate the factors affecting exchange rate and to forecast the future trend using econometrics and machine learning methods. The seasonal moving average of IR Rial to US Dollar rate from spring 1392 to spring 1401 is the proxy o MoreThe main purpose of this paper is to investigate the factors affecting exchange rate and to forecast the future trend using econometrics and machine learning methods. The seasonal moving average of IR Rial to US Dollar rate from spring 1392 to spring 1401 is the proxy of exchange rate as the dependent variable and balance of trade, debt to GDP, GDP, inflation rate, liquidity volume, OPEC oil price and unemployment rate are considered as the independent variables. For determining the factors influencing the exchange rate, Sobol' Sensitivity Analysis, a machine learning method, is used and VECM is harnessed for regressing and forecasting. Variance decomposition and impulse response function are also utilized as instruments of VAR for measuring the future shocks effects of independent variables on exchange rate and the periods in which these shocks will be neutralized. The results show that liquidity volume, oil price, unemployment rate and inflation rate are the most significant determinants, respectively and the future shocks of liquidity volume, inflation rate, oil price and unemployment rate have the longest period of impacts on the exchange rates, respectively. The study outcomes also show an affinity between econometric and machine learning results in this case. The predicted amounts of exchange rate until winter 1402 are also included in the results. Manuscript profile -
Open Access Article
66 - Sensitivity analysis of geometric and hydraulic parameters on water depth of flood plain in the AbNik River
Akram Gashtasebi Mohammad Reza Pirestani -
Open Access Article
67 - Sensitivity Analysis of Mike21-BW Diffraction Model by using Breakwater Reflection Coefficient
H Rabiefar A Akbarpour M Pourlak -
Open Access Article
68 - Sensitivity Analysis of Meteorological Parameters in Runoff Modelling Using SWAT (Case Study: Kasillian Watershed)
Mohsen Ghane Sayed Reza Alvankar -
Open Access Article
69 - Identifying and Sensitivity Analysis the Effective Factors on Main Forming Groups of Iran’s Inflation: The Artificial Neural Network Approach
seyed sajad alam al hodaa samaneh tarighi mehdi shaban zadeh amin kajoeipoorAbstract Since the inflation has numerous effects on various aspects of economic and social, many economists believe the importance of inflation is higher than other economic indicators.With this approach, in this study the effective factors on main forming groups of I MoreAbstract Since the inflation has numerous effects on various aspects of economic and social, many economists believe the importance of inflation is higher than other economic indicators.With this approach, in this study the effective factors on main forming groups of Iran’s inflation in the Fourth Development Plan identified and have been examined. For achieve this target, among the twelve main forming groups of consumer price index (CPI), the important forming groups of CPI have been identified using Neural Network Sensitivity Analysis. Then by definition the causes and origins of inflation in Iran using various economic theories and domestic studies, the effects of these factors has been studied on the main commodity groups of CPI. The result of this study showed, among the main groups of commodities, Food and beverage group (Group 1), Housing , water, electricity, gas and other fuels Group (Group 4) and transport group (Group 7) were more important Compared to the other groups. So that, these groups explained 15.22%, 13.19% and 12.23% of the total change in the CPI during the period under review, respectively. The results of this study indicated the commodities of group 1 have been most affected by changes in liquidity, exchange rates and the GDP gap. Also commodities of group 4 and 7 have been most impressed by the rate of return on rent housing in urban areas and liquidity, inflation expectations and exchange rate, respectively Manuscript profile -
Open Access Article
70 - Assessing the Impact of Land Use Changes and Rangeland and Forest Degradation on Flooding Using Watershed Modeling System
Nafiseh Moghadasi Iman Karimirad Vahedberdi Sheikh -
Open Access Article
71 - Sensitivity Analysis of MPSIAC Model
Najmeh Behnam Mansoor Parehkar Ebrahim Pazira -
Open Access Article
72 - A Model for Earthquake Swap Pricing and Its Sensitivity Analysis in Iran
Nasrollah Mahmoudpour Abodolsadeh neisy Moslem PeymanyIn recent years, increasing economic losses as a result of natural disasters are one of the main challenges fronting the insurance industry and researchers to discover original financial instruments so as to transmit disaster risks and minimize economic losses. In the p MoreIn recent years, increasing economic losses as a result of natural disasters are one of the main challenges fronting the insurance industry and researchers to discover original financial instruments so as to transmit disaster risks and minimize economic losses. In the present article, a model is suggested for catastrophe swap pricing with deterministic loss fluctuations in order to decrease the risk of insurance and reinsurance companies in Iran. The research is retrospective and applied; the data collection method is the library, and for the data collection use the documents. For the full data extraction, the correlation method is applied, For the purpose of extracting the complete data, the correlation method is used, all damages of earthquakes that have been fatal, destructive and affecting in the period 1927 to 2018 in Iran, have been investigated. The probability of the deterministic loss occurrence and severity are regarded to be Brownian motion of jump-diffusion. The extracted integral-differential model is converted into the standard differential one, and the answers are estimated via finite difference method and Matlab software. The changes to the suggested model are explored through the Lambda sensitivity analysis. As a final point, the model is implemented with real data of earthquake losses in Iran, which is extracted from the EM-DAT database and the regression results. Based on the results of the study, the price of catastrophe swap securities for less loss than the threshold has regular upward trend; however, once loss reached and passed the threshold, prices will drop dramatically. Manuscript profile -
Open Access Article
73 - Evaluation of Bank Branches with Financial Indicators Using Data Envelopment Analysis
somayeh Razipour-GhalehJough ّFarhad Hosseinzadeh Lotfi Mohsen Rostamy-Maslkhalifeh Hamid SharafiBanks play an important role in the economic development of any country as the main part of the financial system. Calculating efficiency and finding the strengths and weaknesses of branches has a significant impact on increasing the efficiency of banks. Data envelopment MoreBanks play an important role in the economic development of any country as the main part of the financial system. Calculating efficiency and finding the strengths and weaknesses of branches has a significant impact on increasing the efficiency of banks. Data envelopment analysis is one of the performance evaluation techniques that is able to introduce benchmarks for inefficient decision-making units in addition to estimating relative efficiency. In this paper, using a data envelopment analysis, a model for evaluating efficiency, studying sensitivity analysis of 18 branches of one of the commercial banks of Iran with financial ratios is presented. For this purpose, a model is proposed for output estimating with ratio data. By changing the input values the output values can be estimated. The amount of changes required in the outputs to maintain the efficiency as well as maintaining the rank is possible by using the proposed model with ratio data. Manuscript profile -
Open Access Article
74 - Modelling the Impact of Trapping Blackfly Vectors on the Transmission of Onchocerciasis
Julius Tumwiine Raymond Muhumuza -
Open Access Article
75 - Purchasing Inventory Models for Deteriorating Items with Linear Demand and Shortages - in Third Order Equation
Sivashankari C.K. -
Open Access Article
76 - THE ROLE OF TREATMENT ON CONTROLLING CHANCROID PREVALENCE
S. Mushayabasa C. P. Bhunu -
Open Access Article
77 - بررسی مکانیزم های خرابی در پوشش های حائل حرارتی تحت بارگذاری خستگی هم دما و غیرهم دما با طراحی آزمایش ها
محمد آزادی غلامحسین فرهی در این مقاله، مکانیزمهای شکست و خرابی یک آلیاژ آلومینیوم (که در بستار موتورهای احتراق داخلی دیزلی کاربرد دارد) در دو حالت با و بدون پوششهای حائل حرارتی سرامیکی، تحت بارگذاریهای خستگی همدما و غیرهمدما، مطالعه شده است. در این تحقیق، ماده پایه شامل آلیاژ آلومین More در این مقاله، مکانیزمهای شکست و خرابی یک آلیاژ آلومینیوم (که در بستار موتورهای احتراق داخلی دیزلی کاربرد دارد) در دو حالت با و بدون پوششهای حائل حرارتی سرامیکی، تحت بارگذاریهای خستگی همدما و غیرهمدما، مطالعه شده است. در این تحقیق، ماده پایه شامل آلیاژ آلومینیوم- سیلیسیوم- منیزیم است و پوشش حائل حرارتی نیز، شامل یک پوشش میانی فلزی به ضخامت 150 میکرومتر و یک پوشش اصلی از زیرکونیای پایدار شده با ایتریا به ضخامت 350 میکرومتر میباشد که بر روی ماده پایه (آلیاژ آلومینیوم)، به روش پاشش حرارتی پلاسما ایجاد شده است. برای بررسی تحلیل خرابی و تحلیل حساسیت، آزمونهای خستگی همدما (و یا کمچرخه در دمای ثابت) و آزمونهای خستگی غیرهمدما (و یا ترمومکانیکی غیرهمفاز)، بر روی نمونههای استاندارد آزمون انجام شده است. سپس، با استفاده از میکروسکوپ الکترونی روبشی، مکانیزمهای شکست در آلیاژ آلومینیوم، با و بدون پوشش، بررسی شده است. پس از بررسی آسیب خستگی و تحلیل خرابی، حساسیت عمر ماده نسبت به عوامل مختلف (دما و کرنش) نیز، مطالعه شده است. براساس نتایج بدست آمده، سطح شکست آلیاژ آلومینیوم دارای دیمپل بوده و شکست آن بصورت نرم است. در پوشش حائل حرارتی نیز، جدایش لایه میانی پوشش از ماده پایه، مکانیزم آسیب غالب است. همچنین، بیشترین حساسیت مربوط به پارامتر کرنش در آزمونهای خستگی آلیاژ آلومینیوم (با و بدون پوشش) است. Manuscript profile -
Open Access Article
78 - Technology Strategic Planning Model in Petrochemical Industry Using the Network Analysis Process (Case Study: Iranian Petrochemical Industry)
Yaghoub Rashnavadi Mohammad Ali RouhollahiNowadays increasing importance role of technology in economic performance improvement and business success is known by managers; therefore, in order to create sustainable competitive advantage in modern management studies technology investment is required. In This regar MoreNowadays increasing importance role of technology in economic performance improvement and business success is known by managers; therefore, in order to create sustainable competitive advantage in modern management studies technology investment is required. In This regard, technology planning is essential to ensure the right choices and key technology development. The purpose of this study is to practice a technology strategic planning framework in order to invest in technology with overall objectives and strategies. For this purpose, analytical network process (ANP) and sensitivity analysis have been used. Previous studies applied analytical hierarchy process. Since this method is not suitable for study of mutual relations between criteria and alternatives, we used analytical network process instead. Through this process, objectives, strategies and technology alternatives find meaningful relation with ; their role were identified by sensitivity analysis, and finally scenarios for decision making were created. The proposed model is implemented in Iran petrochemical industry and as a result, improvement, development , localization of technology , process of Olefin and Paraffin production, Polymer Nano composites , Polymer membranes and Membranous and Hybrid bioreactors, Polyethylene terephthalate , Methanol synthesis and acetic acid synthesis catalysts were identified as petrochemical industry technology priorities. Manuscript profile -
Open Access Article
79 - The Sensitivity Analysis of the Distance Effect and Explosive Load on Concrete Structures, Considering the Soil-Structure Interaction Effects
Mohammad Emami korandeh Saeed FarokhizadehThe undeniable impact of soil-structure interaction on the behavior of structures, coupled with the increased importance of explosive loads in current global security and social conditions, has led to the modeling and sensitivity analysis of the distance effect and expl MoreThe undeniable impact of soil-structure interaction on the behavior of structures, coupled with the increased importance of explosive loads in current global security and social conditions, has led to the modeling and sensitivity analysis of the distance effect and explosive load on concrete structures, taking into account the effects of soil-structure interaction. Three types of structures with 3, 7, and 15 floors were modeled for this investigation, and the results were evaluated. The software tools ETABS and ABAQUS were utilized, with ETABS for structural element design and ABAQUS for examining the effects of soil-structure interaction. The input energy and induced displacements in the structures have a meaningful relationship with the explosion force. In all three structures (3, 7, and 15 floors), the energy and displacements created vary proportionally with the explosion distance or the reduction in explosive material weight. The plasticity rate reflects a substantial reduction in damage with an increasing explosion distance from the structure. Additionally, according to the research results, an increase in the number of floors undoubtedly leads to more noticeable displacements. Therefore, these displacements and energy absorption in the 15-floor structure exceed those in other structures. The failure zone in the 3-floor structure is mostly in the last floor, in the 7-floor structures in the middle floors, and in the 15-floor structures in the initial floors. Displacement in the 3-floor structure is at the upper levels, in the middle of the 7-floor structure, and at the lower levels of the 15-floor structure. Manuscript profile
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