List of Articles رگرسیون

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  1 - Relation of emotional intelligence and trends of e-learning in organizations (Case study: Bank employees Alborz Province)
  Somayeh Ahari
  Today the world is moving toward a virtual space. Whereas the business, health, education, and many of the other activities would devote time and money in the past, by appearing the virtual space most of them have suitable function today. Educating is an inseparable par More

  Today the world is moving toward a virtual space. Whereas the business, health, education, and many of the other activities would devote time and money in the past, by appearing the virtual space most of them have suitable function today. Educating is an inseparable part of human which is entered to electronic world as individuals and organizations are gradually moving towards this type of educating. In this research, the relationship between emotional intelligence and trends of e-learning in organizations has been studied. The purpose of this study is applied and the research method is descriptive- survey. The questionnaire method was used to collect data. The Cronbach’s Alpha coefficient of the first questionnaire was obtained 0.76 and the second questionnaire was 0.83 which confirm the validity of the questionnaires. The content validity to test questions was used and for this purpose, experts, academics and experts were used. The population of this research is all the Alborz Province Bank Employees which 80 individuals were selected as sample size and sampling is done randomly. To analyze data the Spearman correlation coefficient and multiple regression was used. Finally all the theories proved. Self-motivation and self-awareness variables were determined as predictor variables which can entry into the ultimate regression equation to describe the tendency of employees to accept changes in their electronic education. Manuscript profile
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  2 - The relationship between emotional intelligence and tendency to e-learning in the studied organizations: employees of banks in Alborz province
  Benam Ghorbani Seied Shahab Mosavi Hasanali Aziziha Shahram Hasheminia
  Today, we are witnessing the rapid movement of the world towards virtual space. Trade, treatment, education and many other activities that used to take a lot of time and money have brought many benefits to mankind today by being in the virtual space. Education, which is More

  Today, we are witnessing the rapid movement of the world towards virtual space. Trade, treatment, education and many other activities that used to take a lot of time and money have brought many benefits to mankind today by being in the virtual space. Education, which is an inseparable part of human beings, has entered the society electronically, and people and organizations are gradually moving towards this type of education. In this research, the relationship between emotional intelligence and the trend towards e-learning in organizations has been discussed. This research is applied in terms of purpose and descriptive-survey research method. A questionnaire was used to collect information. Cronbach's alpha coefficient of the first questionnaire is 0.76 and the second questionnaire is 0.83, which confirms the reliability of the questionnaires. Content validity was used to test the validity of the questions, and for this purpose, the opinions of experts, university professors and expert experts were used. The statistical population of this research is all the employees of banks in Alborz province, 80 people were selected as the sample size and the sampling was done randomly. To analyze the data, Sperryman's correlation coefficient and multiple regression were used, and finally all the hypotheses were proven, and two variables, self-motivation and self-awareness, were identified as predictive variables, criteria for entering the final regression equation, to explain the changes. degree of tendency Manuscript profile
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  3 - Spatial analysis of the impact of social capital on the viability of urban neighborhoods
  Ayub Manuchehri Hasan Ahar Mirnajaf Musavi
  Urban livability is complex and affected by many factors. according to goals, different approaches are used to measure the livability. The purpose of this research is to analyze the role of social capital on livability of Maragheh neighborhoods. The present study consi More

  Urban livability is complex and affected by many factors. according to goals, different approaches are used to measure the livability. The purpose of this research is to analyze the role of social capital on livability of Maragheh neighborhoods. The present study consists of three stages: the study of the livability of neighborhoods, social capital Survey of neighborhoods and Finally, an assessment of the impact of social capital indicators on the level of urban livability. The number of livability indicators was 15. Social capital indicators were 5 main indicators and 39 sub-indicators. The research method has been descriptive – analytical. Data collection was field survey and the tool for data collection questionnaires. the sample size is 383. for data analysis, Multiple Regression and Geographically Weighted Regression has been used. The results show that the results of Geographically Weighted Regression has a better reliability than multivariate regression due to the nature of spatial data. The coefficient of social capital impact has been positive in most neighborhoods of the city of Maragheh. The results showed that 90 percent of the livability of Maragheh neighborhoods is estimated by social capital indicators, these results show the important and influential role of social capital on the livability of urban neighborhoods Manuscript profile
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  4 - بررسی کارایی مدل هیبریدی هالت-وینترز موجکی (WHW)در شبیه¬سازی تراز سطح ایستابی آبخوان ساحلی ارومیه
  Mohammad Nakhaei Farshad Alijani Ali Mirarabi HamidReza Nasseri
  For management and planning valuable groundwater resources, it is very important to predict groundwater level and have a correct understanding about aquifer changes. In this paper for the first time, the wavelet Halt-Winters hybrid models (WHW) were used and tested for More

  For management and planning valuable groundwater resources, it is very important to predict groundwater level and have a correct understanding about aquifer changes. In this paper for the first time, the wavelet Halt-Winters hybrid models (WHW) were used and tested for groundwater forecasting. A monthly data set of 16 years consisting of groundwater level fluctuations was used in two observation wells of Urmieh coastal aquifer. In the WHW, the dataset was converted into several sub-dataset with different time scales. Then, the sub-series were used in the HW model as inputs. Subsequently, the performance of the WHW model was compared with ARIMA, HW, and SARIMA as linear models and neural network models (ANN) and Support Vector Regression (SVR) as nonlinear models. The results showed that the NSE and RMSE values of the WHW model were upgraded up to 30% and 60% respectively, in comparison with linear models. The WHW hybrid model also has the same performance compared to nonlinear models. This research reflects that if there are multiple seasonal fluctuations in the groundwater time series, the performance of the WHW model compared with linear models will be more accurate. Manuscript profile
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  5 - Estimating the LNAPL level elevation in oil-contaminated aquifer by using of gene expression programming (GEP) and adaptive neuro-fuzzy inference system (ANFIS)
  فاطمه  ابراهیمی Mohammad Nakhaei HamidReza Nasseri  
  One of the main concerns in the aquifers adjacent to oil facilities is the leakage of LNAPLs. Since remediation processes costly and time consuming, so the first step in these systems is determining design goals. Often the most important goal of these systems is to maxi More

  One of the main concerns in the aquifers adjacent to oil facilities is the leakage of LNAPLs. Since remediation processes costly and time consuming, so the first step in these systems is determining design goals. Often the most important goal of these systems is to maximize pollutant removal and minimize the cost. Identifying the thickness of LNAPL and its fluctuations can determine the type of recovery method and thus can be effective on the amount of removal and the cost of the implementation. In this study, three methods of gene expression programming (GEP), adaptive neuro-fuzzy inference system (ANFIS) and multivariate linear regression (MLR) were used to estimate and predict the LNAPL level. Input variables are groundwater level elevation and discharge rate of LNAPL and the output variable is the LNAPL level elevation. The results of the three models were analyzed by statistical parameters and it was determined that GEP technique has better results and could be used successfully in predicting LNAPL level fluctuations in recovery processes. Also, the GEP model provides an equation for predicting the LNAPL level that can be used in the field to predict the elevation of the LNAPL level. Manuscript profile
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  6 - Identifying Effective Critical Success Factors in Electronic Supply Chain Management (Case study: Small and Medium-sized Enterprises)
  morteza jabale Sajad Ranjkesh Mohammad Reza Ghiasy Hossein Ali  Hassan pour
  10.7508/jstpi.2016.03.004
  Electronic supply chain management (e-SCM) is one of the competitive industrial fields of the country. Availability of Internet network and information in supply chain management, gives the capability and competitiveness to small and medium-sized enterprises (SMEs) and More

  Electronic supply chain management (e-SCM) is one of the competitive industrial fields of the country. Availability of Internet network and information in supply chain management, gives the capability and competitiveness to small and medium-sized enterprises (SMEs) and also helps them for resilience in today`s competitions. Electronic supply chain management plays an important role in improving supply chain factors, information authenticity, reducing bullwhip effect and delivering products to the customers in right time and right place with high speed and accuracy. Attending to these factors can be helpful in making suitable decisions to promote enterprise by managers. The goals of this paper is to identifying effective critical success factors in electronic supply chain management and survey their effects on e-SCM implementation in small and medium-sized enterprises. To achieve this goal, thirteen questions has been developed and a multi-variable linear regression technique in SPSS used for analyzing questionnaire. A Multi regression analyses a dependent variable, which linearly relates to some independent controlled variables. Independent variables Xk are critical sub-factors for main factors and dependent variable Y indicate implementation of electronic supply chain management. Result analysis shows that four critical success factors are the most important factors playing role in e-SCM implementation in small and medium-sized enterprises, which are supporting of capacity of supplier, organizational scale, compatibility of e-SCM and CEO’s creative level. Management by focusing on four factors will make to improvement and forward upgrades in future. Manuscript profile
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  7 - آزمون فرضیه اثرگذاری نامتقارن نابرابری درآمد بر رشد اقتصادی در ایران
  saber khodaverdizadeh
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  8 - Explaining the Role of Insurance in Developing Financial Institutions and Economic Growth in Selected Countries Using Dynamic panel Data Regression Methods and Generalized Momentum Estimation (GMM)
  Mohammad Nasr Isfahani Teimour   Mohammadi
  One of the key factors of countries’ planning in order to reach a stable long-term economic growth is existence of a proper financial market. Based on economic literature, efficient financial markets can positively affected economic growth of a nation. Furthermore, inve More

  One of the key factors of countries’ planning in order to reach a stable long-term economic growth is existence of a proper financial market. Based on economic literature, efficient financial markets can positively affected economic growth of a nation. Furthermore, investigation of effects of insurance which under a favorable financial market can make a direct and indirect influences on economic growth is mainly crucial for scholars. The main purpose of this study is to find out the effects of insurance and financial Structure on economic growth of 40 selected countries using a panel data approach over the period of 2000-2012. The results revealed that financial structure in some cases has significant effect, while in a number of cases, it shows insignificant impact. Also, the financial development index has a negligible negative effect on the economic growth of advanced countries and in the same way, this variable in MENA countries has a negative impact on economic growth. Moreover, this variable has various coefficients in several groups of countries. Furthermore, the findings depicted a positive significant effect of insurance on economic growth in advanced economies, while it negatively affects the economic growth in American nations. Manuscript profile
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  9 - Development of Multivariate Regression Relationship Between Factors Affecting Unemployment Rate
  roya soltani mahnaz ebrahimi sadrabadi Ali Mohammad Kimiagari
  In this research, the multi-variable linear regression relationship has been developed among the important factors influencing unemployment rate. The seasonal data is from 1394 to 1394, which is compiled from reliable economic data bases of country. Independent variable More

  In this research, the multi-variable linear regression relationship has been developed among the important factors influencing unemployment rate. The seasonal data is from 1394 to 1394, which is compiled from reliable economic data bases of country. Independent variables are: net foreign assets of the banking system (billion rials), net debt of the public sector to the banking system (billion rials), liquidity in terms of its constituent parts (billion rials), rate of dollar (rials), economic participation rate, average inflation rate, The average annual interest rate on state-owned banks, the percentage of jobseekers (65-15). The results indicate that there is a negative and significant relationship between unemployment rate and average inflation rate and economic participation rate, while the net debt of the public sector has had a positive and significant relationship with the banking system and unemployment rate. The greatest negative effects on unemployment rate are the rate of economic participation and the greatest positive impact on the unemployment rate is the net debt of the public sector to the banking system. Manuscript profile
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  10 - Assessing the effect of macroeconomic shocks on systemic risk of the banking system using the SVAR model in Iran
  ali ostadhashemi seyed jalal sharif ali Souri
  In this study, we have used the total capital market index (TEDPIX) as an index of the real sector of the economy and the index of banks and credit financial institutions as an index that explains the developments of the banking system. Also, oil revenues, exchange rate More

  In this study, we have used the total capital market index (TEDPIX) as an index of the real sector of the economy and the index of banks and credit financial institutions as an index that explains the developments of the banking system. Also, oil revenues, exchange rate uncertainty, tax revenues, liquidity, nominal interest rates, inflation uncertainty and GDP have been used as macroeconomic variables in the research period (1370-1396). To estimate the systemic risk of the banking system, the quarterly data of the banks' index is used and the value at risk of the return of the seasonal data of the index is estimated using an exponential GARCH model. In order to model the interaction of macroeconomic variables and systemic risk of the banking system, an unrestricted vector autoregression (VAR) model was estimated and then using instantaneous impact functions and based on Chulsky analysis, systemic risk response to other variables was investigated and analyzed. In order to identify the channels of impact of economic shocks on the systemic risk of the banking system, based on the structures of the Iranian economy, a structural vector autoregression (SVAR) model was specified and then the instantaneous impact functions were extracted and the effect of macro variable shocks on the systemic risk of the banking system was investigated. Also, the effect of systemic risk of the banking system on macroeconomic variables was investigated and analyzed using instantaneous impact functions. Finally, the interaction model of macroeconomic variables and systemic risk of the banking system was approved using the vector autoregressive model. Manuscript profile
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  11 - Correction of the Load Tracking Method in Transmission Pricing Considering Correlation Coefficients
  M. T. Ameli M. Ansari
  Transmission pricing has become one of the important issues of the power industry with the power industry´s restructuring. The pricing should be done fairly to achieve a healthy competitive environment. The load tracking method will be discussed in this paper. For this More

  Transmission pricing has become one of the important issues of the power industry with the power industry´s restructuring. The pricing should be done fairly to achieve a healthy competitive environment. The load tracking method will be discussed in this paper. For this purpose, various operating points were made around the nominal operating point at first, using statistical data. After that, the network load flow is being calculated for each operating point and the linear regression and correlation coefficients between each producer/consumer’s generation/consumption and the following power of each line, were being achieved and the players' share of the transmission cost is being calculated by combining this coefficients. The participation coefficients were being calculated at the end for the 39 Bus IEEE test system and its results will be compared with previous methods. The Comparison of the results show that the reviewed methods cover the transmission costs, but the determined share for each player using this paper’s method, has a greater proportion with the amount of the transmission network usage. Manuscript profile
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  12 - A Self-Learning Single Image Super-Resolution by Considering Consistency in Adjacent Pixels
  M. Habibi A. Ahmadyfard H. hassanpour
  In this paper, we propose a self-learning single image super-resolution. In our proposed method, adjacent pixels information in smooth area is used. Low and high-resolution pyramids are built by applying up-sampling and down-sampling techniques on input image, as traini More

  In this paper, we propose a self-learning single image super-resolution. In our proposed method, adjacent pixels information in smooth area is used. Low and high-resolution pyramids are built by applying up-sampling and down-sampling techniques on input image, as training data. In training phase, we apply support vector regression (SVR) to model the relationship between the pair of low and high-resolution images. For each patch in the low-resolution image, sparse representation is extracted as a feature vector. In this paper, in order to reduce the edge blurring effects, we first separate edge pixels from non-edge pixels. In the smooth area, because of the similar colors around the each pixel, the center pixel value is determined by considering the reconstructed adjacent pixels. Experimental results show that the proposed method is quantitatively and qualitatively outperform the competitive super-resolution approaches. Manuscript profile
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  13 - Evaluation of the Effect of Transformer Oil Parameters on the Transformer Health Index Using Curve Estimation Method
  Morteza Saeid Hamed Zeinoddini-Meymand
  Transformers are one of the most expensive and important equipment in power systems that are under the influence of electrical, thermal and chemical reactions The transformer health index is a standard that is used to evaluate the condition and determine the remaining l More

  Transformers are one of the most expensive and important equipment in power systems that are under the influence of electrical, thermal and chemical reactions The transformer health index is a standard that is used to evaluate the condition and determine the remaining life of the transformer by using laboratory data and field inspections. The purpose of this article is to determine the relationships between electrical, physical, chemical parameters of oil, dissolved gases in oil and transformer health index. One of the advantages of using the regression method in the analysis of transformer data compared to other methods for determining the transformer health index is determining the influence of the parameters that have the greatest impact on each other. In this article, Curve Estimation Regression method is used and the results are drawn by drawing graphs by SPSS statistical software to analyze the parameters. To carry out the simulations, the laboratory data of some transformers have been considered. Manuscript profile
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  14 - Evaluation of trend of rainfall and temperature changes and their effects on meteorological drought in Kermanshah province
  Maryam Teymouri Yeganeh Liela Teymouri Yeganeh
  Climate change is one of the natural features of the atmospheric cycle, which results in anomalies or fluctuations in the process of meteorological parameters such as rainfall and temperature. Also, drought is one of the weather and climate disasters, including catastro More

  Climate change is one of the natural features of the atmospheric cycle, which results in anomalies or fluctuations in the process of meteorological parameters such as rainfall and temperature. Also, drought is one of the weather and climate disasters, including catastrophic events. It alternates with floods and causes significant damage each year. Lack of rainfall has different effects on groundwater, soil moisture and river flow. For this reason, the study of changes in precipitation and temperature has always been the focus of researchers in various sciences, including natural resources and the environment. In this study, using the data of Kermanshah Meteorological Organization related to 30 years of rainfall, average minimum temperature and average maximum temperature in three stations of Kermanshah, Islamabad West and Sarpol-e Zahab to assess the severity of drought each year by DIC software Using standard precipitation index (SPI) and examining the trend of temperature changes using two non-parametric Mann-Kendall tests, Sensitimator and also linear regression. In order to study the drought trend during the 30-year period, statistical software was used and the results showed that during the 30-year period, all three stations are in near normal condition. Also, the results of temperature changes using the mentioned tests indicate the increasing trend of temperature and this trend is significant at the level of 99% using two non-parametric Mann-Kendall tests. Manuscript profile
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  15 - بررسی عوامل کلان اقتصادی مؤثر بر نرخ پس‌انداز خانوارهای شهری: رهیافت رگرسیون کوانتایل
  saeed akbarpour
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  16 - The efficacy of multivariate regression models and GIS in Selecting SuitableSites for Rain Water Harvesting (Case Study: Tajareh Watershed)
  maryam aghaie siamak dokhani ebrahim omidvar
  Water scarcity in arid areas is a serious crisis. The most important step in using rainwater collection systems is to locate suitable areas. In this research, three methods of multivariate regression model and GIS have been used to locate the on-site and off-site rainwa More

  Water scarcity in arid areas is a serious crisis. The most important step in using rainwater collection systems is to locate suitable areas. In this research, three methods of multivariate regression model and GIS have been used to locate the on-site and off-site rainwater collection method in Tejreh watershed. In this study, canopy, litter, rock and gravel, bare soil, CN, precipitation, slope and soil depth as independent variables and influence on in situ rainwater collection and maximum instantaneous discharge for non-in situ rainwater collection method The title of the dependent variable was considered. The multivariate regression model uses stepwise method, backward removal method, and forward method. And the standard step-by-step method, regression removal method, step-by-step method in collecting rainwater, non-in situ method have been used. The final results by matching the results of previous research show in step rainwater collection, stepwise method and between layers CN, soil, percentage of rock and gravel, and in non-in situ rainwater collection stepwise regression method Standard and among layers the percentage of litter, percentage of canopy, CN, slope, percentage of rocks and pebbles, amount of rainfall, percentage of bare soil and soil depth are known to be important in the equation. Finally, the importance of rain collection sites was divided into four classes: very good, good, medium and poor. Manuscript profile
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  17 - Porosity modeling in Azadegan oil field: a comparative study of Bayesian theory of data fusion, multi layer neural network, and multiple linear regression techniques
  عطیه  مظاهری طرئی حسین معماریان بهزاد تخم چی بهزاد مشیری
  Porosity parameter is an important reservoir property that can be obtained by studying the well core. However, all wells in a field do not have a core. Additionally, in some wells such as horizontal wells, measuring the well core is practically impossible. However, for More

  Porosity parameter is an important reservoir property that can be obtained by studying the well core. However, all wells in a field do not have a core. Additionally, in some wells such as horizontal wells, measuring the well core is practically impossible. However, for almost all wells, log data is available. Usually these logs are used to estimate porosity. The porosity value obtained from this method is influenced by factors such as temperature, pressure, fluid type, and amount of hydrocarbons in shale formations. Thus it is slightly different from the exact value of porosity. Thus, estimates are prone to error and uncertainty. One of the best and yet most practical ways to reduce the amount of uncertainty in measurement is using various sources and data fusion techniques. The main benefit of these techniques is that they increase confidence and reduce risk and error in decision making. In this paper, in order to determine porosity values, data from four wells located in Azadegan oil field are used. First, multilayer neural network and multiple linear regressions are used to estimate the values and then the results of these techniques are compared with a data fusion method (Bayesian theory). To check if it would be possible to generalize these three methods on other data, the porosity parameter of another independent well in this field is also estimated by using these techniques. Number of input variables to estimate porosity in both the neural network and the multiple linear regressions methods is 7, and in the data fusion technique, a maximum of 7 input variables is used. Finally, by comparing the results of the three methods, it is concluded that the data fusion technique (Bayesian theory) is a considerably more accurate technique than multilayer neural network, and multiple linear regression, when it comes to porosity value estimation; Such that the results are correlated with the ground truth greater than 90%. Manuscript profile
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  18 - Relationship between Quran learning and sense of well-being
  مانک  ییلاق بیگی
  Objective(s): The present research has proceeded to Ghoran learning classes with happiness. That gold is which one of relation ways kind with Ghoran is suitable prognosis for happiness. Methods: Information were completed by Oxford happiness questionnaire (2001) and More

  Objective(s): The present research has proceeded to Ghoran learning classes with happiness. That gold is which one of relation ways kind with Ghoran is suitable prognosis for happiness. Methods: Information were completed by Oxford happiness questionnaire (2001) and population questions. They analyzed with Pierson correlation index, Spirman and multistage regression with stepwise method. so, People have participated 382 persons. They had shared in Ghoran class in the Rasht city and they were selected by multi stage cluster sampling method Result: Education , income and duration of time learning had positive and meaning relation with happiness. Age had negative and meaning relation with happiness. Conclusion: Results indicated that sharing in Ghoran learning classes on basis of time have meaning relation with happiness. Meaning relation have not between kinds Ghoran learning with happiness. Manuscript profile
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  19 - Exploring the Factors Involved in Increasing Attractiveness of Tourist Destinations
  Ali Amiri mehrshad toulabi nejad Monirah  Ghofran
  To support tourism development, it is necessary to consider the factors that help increase the appeal of tourist destinations, trying to portray a positive image of the destinations in the tourists’ minds. Therefore, this applied study sought to examine the factors invo More

  To support tourism development, it is necessary to consider the factors that help increase the appeal of tourist destinations, trying to portray a positive image of the destinations in the tourists’ minds. Therefore, this applied study sought to examine the factors involved in increasing the appeal of tourist destinations in Poldokhtar County, Lorestan province, Iran, using a descriptive-analytic approach. The required data were collected through the administration of the researcher-developed questionnaire. The population of the study comprised fifty tourism experts and specialists who were selected through purposive sampling. Moreover, regression and binary logistics models (LM-Newton-Marcard-Rafson) were used to find answers to the research questions. The results of the study indicated that the diversity of job opportunities created by tourism products, cultural authenticity/natural assets, and tourism infrastructure were the most important factors involved in increasing the appeal of tourist attractions in Poldokhtar County. On the micro-structure level, the results suggested that the diversity of income-generating opportunities created by the development of tourism products, promotion of indigenous-local arts and handicrafts, the establishment of conference halls/ resorts to satisfy tourists, preservation of cultural/ historical and ancient attractions of Poldokhtar county, the development and improvement of tourism transport infrastructure, and the promotion and preservation of indigenous-local traditions were the most important indicators which could help increase the appeal of tourist attractions in Poldokhtar. Manuscript profile