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Open Access Article
1 - Double critical coupled ring resonator-based add–drop filters
Mahdi Bahadoran Iraj Sadegh Amiri -
Open Access Article
2 - Calcium evaluation of human fingernail using laser plasma spectroscopy by simultaneously applying addition and modified external standardizations
Sahar Maghsoumi Hamidreza Shirvani-Mahdavi -
Open Access Article
3 - The effect of Overconfidence on Investors Behaviors: Evidences from Tehran Stock Exchange
S. Morteza Mousavi M. Ebrahim AghababaeiIn its most basic form, overconfidence can be summarized as unwarranted faith in one’s intuitive reasoning, judgments, and cognitive abilities .The objective of this study is to examine the effects of this important bias on decisions of investors. Here, besides me MoreIn its most basic form, overconfidence can be summarized as unwarranted faith in one’s intuitive reasoning, judgments, and cognitive abilities .The objective of this study is to examine the effects of this important bias on decisions of investors. Here, besides measuring various aspects of overconfidence(mis calibration, illusion of control, optimism about future, better than average effect, volatility estimation), the relation between individual overconfidence aspects and three performance measures including trading volume of individual investors, number of orders and individual returnhas been tested. The result shows correlation coefficient of 0.747 with99 percent confidence level between overconfidence and number of orders. Also correlation coefficient of 0.695 with99 percent confidence level exists between overconfidence and order volume and finally more overconfidence does not result in more individual returns. Manuscript profile -
Open Access Article
4 - Estimation of Yield Response Factor to Water Stress in Garlic Plant under Deficit Irrigation
Arash Tafteh Fatemeh Keykhaei Mojtaba HadizadehBackground and Aim: Due to the importance of determining the behavior of plants in water shortage conditions, it is necessary to determine the coefficients of plant sensitivity to water at different stages of plant growth. Water shortage in the Sistan plain is a serious MoreBackground and Aim: Due to the importance of determining the behavior of plants in water shortage conditions, it is necessary to determine the coefficients of plant sensitivity to water at different stages of plant growth. Water shortage in the Sistan plain is a serious and important issue, so that the lack of water supply to the Helmand border river, which is the only source of water supply in the region, leads to the destruction of agriculture. The low possibility of increasing new water resources and the need to increase agricultural production from limited water resources in this region requires the use of appropriate scientific and technical methods to increase the productivity of agricultural water consumption. Also, changing the pattern of cultivation and replacement of high-income crops in recent years in arid areas has received much attention from farmers. The purpose of this study is to investigate the effects of water stress on the behavior of garlic in dehydrated conditions to calibrate the production function of this plant to obtain yield response coefficients in conditions of water shortage.Method: In this study, garlic plant was implemented in the form of a randomized complete block design with three replications in 1398 and 1399 in Sistan and Baluchistan province. Treatments were applied based on stress levels compared to control 30, 35, 40, 45, 50, 60 and 70% of water requirement. This station is located 20 km southeast of Zabol city at latitude 61 degrees and 41 minutes and latitude 30 degrees and 54 minutes in Sistan region. The altitude of the station is 483 meters above sea level, the average annual rainfall is 55 mm and the annual evaporation rate is 4500 to 5000 mm. This region has a very dry climate with very hot summers and mild winters. The area of the experimental plot was equal to 750 square meters was selected for planting garlic of Chinese cultivar before planting the bed was reinforced with animal manure and after growing based on soil fertilizer test, 300 kg of potassium phosphate, 200 kg of triple phosphate and 100 kg. One kilogram of urea was added to the soil. Then plow and disc and finally leveled. On the 24th of October, grooves were planted with a shovel at a distance of 20 cm and a depth of 5 cm to plant garlic of Chinese cultivar, and garlic tubers were planted at a distance of 8 cm on the rows. Then, based on the obtained information, the two functions of Tafteh and Raes production were investigated and yield response factors were determined during the growing period.Results: Comparing the two methods used the highest yield of garlic in the study was 8240 kg / ha, for the production of which 833 mm of water was used. The data of the first year were used to calibrate the yield response factors of garlic and after calibrating the two production functions of Raes and Tafteh, the values of the yield response factors of garlic were presented. This coefficient was different in the range of 0.5 to 1.2 in different periods of garlic plant growth, the change curve was presented. Evaluation of Rice method in the second year with root mean square error of 1302 kg / ha and normalized value was about 23%.Conclusion: In the method of Tafteh the mean root mean square error was 485 kg / ha and the normalized value was about 11%. Therefore, the method of Tafteh is recommended in determining the yield of garlic under water stress conditions. Manuscript profile -
Open Access Article
5 - Application of time-series modeling to predict subsurface drainage discharge and water table depth
Shafie Vazirpour Farhad Mirzaei Asl Shirkohi Hamed Ebrahimian Hamed RafieeStochastic characteristics of the drainage phenomena led to the application of random variables and time series modeling in predicting the performance of these phenomena. The aim of this study was to investigate the potential of time-series models in predicting the perf MoreStochastic characteristics of the drainage phenomena led to the application of random variables and time series modeling in predicting the performance of these phenomena. The aim of this study was to investigate the potential of time-series models in predicting the performance of a subsurface drainage system. Behshahr Ran subsurface drainage system, which its drains are activated via rainfall, was considered as the study area. In this study, Drainmod model was calibrated for the study area. Then, variables of drainage discharge and water table depth were simulated via the calibrated Drainmod model. This information was used to evaluate the performance of various time-series models. The results showed that the ARMAX model with exogenous variables including daily value, precipitation during the previous days and average desired variables in the last two days was efficient in estimating water table depth and drainage discharge. Mean absolute error for predicting both variables was about 8%. Comparison between the selected times series models and the calibrated Drainmod model results indicated the application of time-series models in predicting the performance of the subsurface drainage system was satisfactory. The coefficients of determination were 0.51 and 0.74 for drainage discharge and water table depth, respectively. The root mean squared error for these variables were 0.01 cm/day and 8.6 cm, respectively. Manuscript profile -
Open Access Article
6 - Calibration of CERES-Barley model using inverse modeling method under deficit irrigation conditions
Behnam Ababaei Mahdi Sarai Tabrizi Bahman Farhadi Bansouleh Teymour Sohrabi Farhad MirzaeiCrop simulation models are used for understanding plants response to the change of surrounding environment and to evaluate crop physiological and morphological characteristics to enhance crop production and to contribute to the efficient use of water and soil resources. MoreCrop simulation models are used for understanding plants response to the change of surrounding environment and to evaluate crop physiological and morphological characteristics to enhance crop production and to contribute to the efficient use of water and soil resources. Yet, the evaluation of these models is a prerequisite for their use in assessing different management strategies. In this study, CERES-Barley from DSSAT software package (version 4) was calibrated by using inverse modeling method and PEST model. This study was conducted with 11 experimental treatments each with three replicates in the form of complete randomized block design. The irrigated treatments were consisted of 100 (T100), 90 (T90), 80 (T80), 70 (T70), 60 (T60), 50 (T50), 40 (T40), 30 (T30), 20 (T20), and 10 (T10) percent of crop water requirement. The rainfed treatment was consisted of one irrigation at planting (November 1st) and the other at first spring (April 8th) before introducing water stress. The results indicated that the model could reasonably well simulate these amounts up to T50 with acceptable accuracy. The calculated SRMSE statistics between T50 and T100 treatments for the simulated grain yield, straw yield, and total crop yield was 5.5, 10.9, and 3.6 percent, respectively. The corresponding R2 values were obtained to be 95, 69, and 93 percent, respectively. Manuscript profile -
Open Access Article
7 - Simulation of yield and evapotranpiration of forage maize using AquaCrop model
Mohammad Ghorbanian Kourd Abadi Abdol Majid Liaghat Ebrahim Vatankhah Hamideh NooryCrop models such as AquaCrop can be a useful tool for better management of water consumption. However, these models should be evaluated before applying. In this study, the accuracy of the AquaCrop model in estimating shoot fresh weight and evapotranspiration of Ma MoreCrop models such as AquaCrop can be a useful tool for better management of water consumption. However, these models should be evaluated before applying. In this study, the accuracy of the AquaCrop model in estimating shoot fresh weight and evapotranspiration of Maize in different soil fertilities and soil textures was evaluated. Field experiments were done as a factorial experiment in a completely randomized design with three soil texture treatments (including silty clay loam, loam and sandy loam) and three levels of soil fertility (including without added fertilizer, adding one and two percent of the fertilizer into the soil). The study was conducted in summer of 2012 in Jey and Qahab region in Isfahan. Results of this study showed that prediction of the model for shoot fresh weight of fodder maize was extremely efficient. The normalized root mean square errors (nRMSE) of the shoot fresh weight of fodder maize for calibration and validation stages were obtained as 0.87% and 0.67%, respectively. Predicting maize evapotranspiration during the growing season by the model had a higher error rate. Maximum and minimum of the root mean square error was obtained in the sandy loam soil with the addition of two percent of the fertilizer treatments (SLF2) and loam soil by adding one percentage of the fertilizer (LF1) with values of 0.88 and 1.42 mm per day, respectively. Results of this study showed that the mean values of RMSE and nRMSE in simulating maize evapotranspiration for sandy loam soil were 1.16 mm and 24.3% that were more than mean values of RMSE and nRMSE for silty clay loam soil type and loam which were 1.08 mm, 26.2% and 0.93 mm, 20.4%, respectively. However, the model accuracy in predicting maize evapotranspiration was varied at different levels of soil fertility depending on soil types so that the maximum value of RMSE in the loam soil was obtained in treatment without fertilizer (LF0) and in sandy loam soils in treatment with two percent fertilizer (SLF2). Manuscript profile -
Open Access Article
8 - Evaluation Possibility of Calibration of LISSIII & ASTER Sensors by Using of Salt Crusts in Dry Areas of Iran
Hossein Nazmfar Nader Sarmasty S.Kazem AlavipanahBackground and Objective: One of the key issues in quantitative analysis of digital satellite data is to ensure that the sensitivity of the satellite's radiometer is stable after launch. Achieving such a goal requires radiometric calibration of the satellite sensor. The MoreBackground and Objective: One of the key issues in quantitative analysis of digital satellite data is to ensure that the sensitivity of the satellite's radiometer is stable after launch. Achieving such a goal requires radiometric calibration of the satellite sensor. The aim of this study was to investigate the possibility of using arid salt marshes as reference terrestrial phenomena for radiometric calibration of LISSIII and ASTER sensors. For this purpose, salt fields in dry areas of Damghan, Kashan and Maharloo were used for radiometric calibration of reflective bands of LISSIII and ASTER sensors.Method: First, the characteristics of salt fields in the study areas were evaluated based on previous research, field studies and available satellite data. Then, using the calibration relationships, the information in the guide files as well as the calibration coefficients of the sensors used, the spectral reflectance of the saltworks in the reflection bands were calculated and the correlation between the brightness of the images and the spectral reflection of the saltworks (satellite sensor radiation above the atmosphere) was evaluated.Findings: The linear relationship and high correlation coefficient (more than 0.8) in each of the visible and infrared bands near LISSIII and ASTER sensors showed that arid salt marshes as reference terrestrial phenomena can be limited to radiometric calibration of LISSIII and ASTER sensors in LISSIII and ASTER sensors. And infrared close to have efficiency.Discussion and Conclusion: The results showed that the trend of changes is very consistent with each other (explanation coefficient between 0.8 to 0.9), in other words, with increasing the degree of brightness, the amount of spectral reflection also increases. Due to the linear relationship and high correlation coefficient (more than 0.8) in each of the visible and infrared bands near LISSIII and ASTER sensors, the atmosphere did not have much effect on the received radiation of the sensor. Manuscript profile -
Open Access Article
9 - Modeling Water Quality of Rivers Using QUAL2Kw Model (Case Study: Shahroud River)
Rozita Areeyaenezhad Mahdi Sarai Tabrizi Hossein BabazadehAbstract Background and Objective: Modeling water quality of rivers can be used as one of the most effective tools for water quality management in rivers and reducing the environmental impacts of entering pollutants. The purpose of this paper is to use the valid QUAL2K MoreAbstract Background and Objective: Modeling water quality of rivers can be used as one of the most effective tools for water quality management in rivers and reducing the environmental impacts of entering pollutants. The purpose of this paper is to use the valid QUAL2Kw 5.1 model to model water quality in Shahrood River. Method: In this paper, seven parameters of water quality have been used including dissolved oxygen (DO), biochemical demand oxygen (BOD), pH, total dissolved solids (TDS), total phosphorus, and total nitrogen four times in Shahrood River. Data from October of 2007 and July of 2008 were used to calibrate and data from September and October of 2008 were used to verify the model. Auto-calibration of model coefficients was done using genetic algorithm of the model. In order to compare simulated results with the observed data, determination coefficient and mean absolute error were used. Findings: The most important calibration coefficients of the model were related to TSS, BOD, total nitrogen and phosphorus. This model in simulation of pH and EC with mean absolute error of 0.19 and 163.89 during verification stage showed the most and the least accuracy, respectively. On average the minimum and maximum DO were measured 6.93 and 9.99 mg/L in September and October of 2008 respectively in Shahroud River. Also the highest and lowest accuracy of the model in simulating these parameters were related to July and October of 2008 with mean absolute error of 0.86 and 1.29, respectively. In addition the results showed accurate hydraulic modeling of hydraulic parameters changes of the river along the river had a great influence on modeling of the water river quality. Discussion and Conclusion: The results of this paper show the accuracy of the QUAL2Kw model in simulating water quality parameters of Shahrood River. On the other hand, the accuracy of the simulation of each parameter varies with the amount of its variation along the river so that the less the changes in a parameter along the river and at different intervals, the higher the accuracy of the model in simulating this parameter will be. Manuscript profile -
Open Access Article
10 - Ground Water Modeling to Estimate Nitrate Dispersion in Critical Aquifers (A Case Study: Mashhad City)
Akbar Baghvand Ali Vosoogh Saeed Givehchi Ali Daryabeigi ZandAt present, due to inefficient and incorrect management, most domestic aquifers in Iran, particularly in dry regions, including the Mashhad plain, face lowering levels of lakes and ponds in water storage and are sometimes subject to various pollutants. In fact, a main a MoreAt present, due to inefficient and incorrect management, most domestic aquifers in Iran, particularly in dry regions, including the Mashhad plain, face lowering levels of lakes and ponds in water storage and are sometimes subject to various pollutants. In fact, a main and significant index which shows the aquifers infections is that nitrate is found in water. In this research, an attempt has been made to prepare a mathematical model for qualitative and quantitative value of the Mashhad plain aquifer. Consequently, the aquifer’s behavior is predicted and simulated based on nitrate ion during the last twelve years. In order to develop a mathematical model for qualitative and quantitative value of Mashhad plain’s aquifer, meteorological, hydrological and hydro geological data and statistics were analyzed using Surfer Ver. 8 software, computer code Modflow 2000 and GMS processor. After calibration settings and verification, this mathematical model is achieved. Results indicate that in the year 2022 the problematic issue of nitrate infections will remain intact for most central and eastern parts of the Mashhad aquifer and its density in these regions varies from 10 to 90mg. Based on this information, in most regions nitrate density is more than the permitted amount (45mg per liter) and the annual mean drop value for this aquifer (0.90 meter) shows its critical situation. The main reason for this aquifer’s pollution during recent years is non-standard waste gathering and sewage burying methods and combination with water wells, thus its penetration through these water wells into the aquifer. Manuscript profile -
Open Access Article
11 - Simulation of Rainfall-Runoff for Gharesou Watershed Using SWAT Model
Mohammadreza Goodarzi Bagher Zahabiyoun Alireza Massah BavaniBackground and Objective: Rainfall-runoff Simulation is very important in many hydrological studies, such as investigating the effects of climate change on river flow, flood prediction and planning of water resources. SWAT model was used to simulate stream flow transpor MoreBackground and Objective: Rainfall-runoff Simulation is very important in many hydrological studies, such as investigating the effects of climate change on river flow, flood prediction and planning of water resources. SWAT model was used to simulate stream flow transport, sediment and quality variables (nitrogen and phosphorus...) in the watershed areas. SWAT model is a distributed time series model with physical basis. This model has an ability to connect to GIS, in a way that vast volumes of data as information layers such as land use, soil map and the DEM using GIS capabilities are used by the model. The main purpose of this study is testing SWAT model performance as a simulator of flow at the catchment scale. Method: This study attempts to prepare a model for Gharesou catchment. Moreover, the parameters were optimized using SWAT-CUP optimizer. Findings: The model was calibrated for the years 1992-1996 and validated for the years 1998-2000. The coefficient of determination (R2) for monthly flow was equal to 0.82 and Nash-Sutcliffe coefficient (Ens) was equal to 0.8 in the calibration period while in the validation period these coefficients were 0.77 and 0.73, respectively. Conclusion: These results indicate the success of the SWAT model, using optimized parameters, for the stream flow simulation in Gharesou catchment. Manuscript profile -
Open Access Article
12 - Investigation on the Effect of Various Parameters on Optimum Performance of Engine Management System (EMS) based on DoE Method
Farideh Atabi Mostafa Khezri Hamid IraniOne of the major contributors of air pollution in large cities is the urban car traffic which imposes a huge financial and life expenses to the society. In order to reduce these expenses, car manufacturers keep adopting new innovation to decrease pollutants` level. In r MoreOne of the major contributors of air pollution in large cities is the urban car traffic which imposes a huge financial and life expenses to the society. In order to reduce these expenses, car manufacturers keep adopting new innovation to decrease pollutants` level. In recent years, direct injection engines have been introduced which electronically control fuel flow using Engine Control Unit (ECU). This goal has been achieved to some degree. Adjusting and calibrating the Engine Management System (EMS) becomes more important day by day. The most important task of EMS is to reach the optimum point in pollutant, fuel consumption and vehicle performance. In this study while calibrating EMS efficiently, the cost and time spent is reduced using DoE simulating techniques and the effects of various parameters on its performance are studied. Hence knowing all inputs such as speed, load and desired outputs such as pollutants and engine torque, MBC Model – module from MATLAB software – has been used. Another next module from MATLAB that is named CAGE is implemented to improve the above mentioned model. By using this method, the effects of EMS` calibration can be studied on different parameters and upon needs, change them. The new parameters are entered into ECU and from there new commands are released to actuators. Therefore achievement to optimal engine function like vehicle performance, pollutant and fuel consumption by minimum expenses and time with high accuracy will be performed. Manuscript profile -
Open Access Article
13 - Evaluation of people’s attitude towards noise pollution in the crowded streets of Rasht city in 2000
Marzieh Sadat Ayatollah Shirazi Noushin Birjandi Karim Keshavarz ShokriBackground and Objective: Rainfall-runoff simulation is very important in many hydrological studies, such as investigating the effects of climate change on river flow, flood prediction and planning of water resources. SWAT model was used to simulate stream flow transpor MoreBackground and Objective: Rainfall-runoff simulation is very important in many hydrological studies, such as investigating the effects of climate change on river flow, flood prediction and planning of water resources. SWAT model was used to simulate stream flow transport, sediment and quality variables (nitrogen and phosphorus) in the watershed areas. SWAT model is a distributed time series model with physical basis. This model has an ability to connect to GIS, in a way to cover a vast volume of data as information layers such as land use, soil map and DEM while GIS capabilities are used by the model. The main purpose of this study is testing SWAT model performance as a simulator of flow at the catchment scale. Method: This study attempts to prepare a model for Gharesou catchment. Moreover, the parameters were optimized using SWAT-CUP optimizer. Findings: The model was calibrated for the years 1992-1996 and validated for the years 1998-2000. The coefficient of determination (R2) for monthly flow was equal to 0.82 and Nash-Sutcliffe coefficient (Ens) was equal to 0.8 in the calibration period while in the validation period these coefficients were 0.77 and 0.73, respectively. Conclusion: These results indicate the success of the SWAT model, using optimized parameters, for the stream flow simulation in Gharesou catchment. Manuscript profile -
Open Access Article
14 - Calibrating Option Pricing using Generalized Integral Transform Technique based on Trapezoidal Rule
Forough Lotfi Reza Aghajan Nashtaei Mehdi Meshki MiavaghiThe present study offers a new interpretation of the Generalized Integral Transform Technique as a powerful numerical method called the Integral Transform method. This method transforms models of nonlinear partial differential equations into a nonlinear system paired wi MoreThe present study offers a new interpretation of the Generalized Integral Transform Technique as a powerful numerical method called the Integral Transform method. This method transforms models of nonlinear partial differential equations into a nonlinear system paired with ordinary differential equations to be solved numerically. On the other hand, in the present study, not only pricing is discussed, but also model calibration, which is a critical process, is designed to minimize the difference between the observed prices and the model prices. In order to implement the proposed model, the present study has used the call option data offered in the Tehran Stock Exchange and as a sample, has used the call option information of SAIPA Company shares for the maturity of June 2022. First, the Conditional Probability Distribution Function for different initial values of the underlying asset was obtained by coding in Python environment, and then the model was calibrated at different maturities. The results showed that the model calibration based on the Dove Swarm Optimization algorithm is suitable for options that are in a state of At-the-Money or In-the-Money in all maturity scenarios and are in Out-of-the-Money state in the midterm and long term scenarios. Furthermore, calibration based on the ant colony optimization algorithm can be used for options that are in an Out-of-the-Money state in the short-term scenario. Manuscript profile -
Open Access Article
15 - Investigating health effect of job-related pollution in prefabricated gypsum wall manufacturing industry on the employees and proposing HSE management strategies
Manizheh Afrashtehfard Parvin NassiriThe purpose of this study is to prevent of occupational diseases, increase human resources capacity, optimize job, increase in employees’ productivity and damage alleviation in the studied industry. Evaluation through field visits, observation and taking notes fro MoreThe purpose of this study is to prevent of occupational diseases, increase human resources capacity, optimize job, increase in employees’ productivity and damage alleviation in the studied industry. Evaluation through field visits, observation and taking notes from medical documents. Factors were measurece using calibrated equipment and devices. The collected data were compared with standard level of Iran and some recommendations were proposed based on the results. Research findings revealed that sound level is complied with T.L.V; vibration exceeds allowable level; gypsum dust is higher than permissible level in silage operator and at allowable range in mixer, packaging and production operators; knight light is lower than standard level, QEC% is acceptable in packaging and manufacturing operators, gypsum transport to silage and lift truck operator while requires further study in mixer operator. Therefore, Identifying and mitigation the damaging factor at the right time and properly evaluating them are very effective inpreventing and reducing the progress of occupational diseases and it is recommended to prioritise them in HSE programs. Manuscript profile -
Open Access Article
16 - بررسی اثر اندازه ذرات خاک بر دقت انعکاسسنجی حوزه زمانی جهت اندازهگیری رطوبت
عیسی معروف پور مینا بهزادی نسباین تحقیق در شرایط آزمایشگاهی روی بافتهای دستخورده که درون گلدانهایی از جنس پی وی سی به ارتفاع و قطر متوسط 300 ×250 میلیمتر انجام گرفت. خاکهای مورد استفاده، شنلومی، لومشنی، لوم رسیشنی، لومرسی و رسی با سه تکرار بودند. پس از حدود 24 ساعت از اشباع شد Moreاین تحقیق در شرایط آزمایشگاهی روی بافتهای دستخورده که درون گلدانهایی از جنس پی وی سی به ارتفاع و قطر متوسط 300 ×250 میلیمتر انجام گرفت. خاکهای مورد استفاده، شنلومی، لومشنی، لوم رسیشنی، لومرسی و رسی با سه تکرار بودند. پس از حدود 24 ساعت از اشباع شدن هر بافت، اندازهگیری رطوبت به روش وزنی و با استفاده از TDR انجام شد. در این تحقیق تعیین رطوبت و ثابت دیالکتریک درسه پنجره برداشت و در سه تکرار برای هر بافت در هر نوبت اندازهگیری، صورت گرفت. عمل اندازهگیری رطوبت با این دو روش هر روز انجام گرفت تا اینکه یک محدوده رطوبتی برای هر بافت تعیین شد. نتایج این تحقیق نشان داد که: 1- در تمامی بافتهای مورد مطالعه مقادیر رطوبتی اندازهگیری شده در پنجره اندازهگیری 20 نانو ثانیه از دقت بالاتری برخوردار بودند و دستگاه TDR قابلیت اندازهگیری رطوبت در پنجره 40 نانو ثانیه را نداشت. 2- دستگاه TDR در دو بافت شنلومی و لوم شنی در رطوبت کمتر از 20 درصد و در مابقی بافتها در کل دامنه اندازهگیری، میزان رطوبت را کمتر از روش وزنی اندازهگیری میکند که با سنگینتر شدن بافت این تفاوت بیشتر شده است. 3- از نظر آماری در سطح یک درصد بین مقادیر رطوبتی اندازهگیری شده توسط TDR و روش وزنی تفاوت معنیداری مشاهده نشده است. 4- خطوط رگرسیونی برازش یافته بر مقادیر رطوبتی در تمام بافتها دارای ضریب همبستگی بالایی بود. Manuscript profile -
Open Access Article
17 - Selecting Remotely Sensed Images Radiometric Calibration Site (Case Study: Tehran Province)
Mohammad Javad Khodam Abbas Bashiri Hasan Hasani Moghaddam Seyyed Mohammad Afghahi Hasan TabarsiRadiometric errors are the most common errors of data acquired by remote sensing sensors. Correction of this type of error requires knowledge about the atmospheric conditions during imaging of the sensor. The aim of this study is to select an ideal location for the cons MoreRadiometric errors are the most common errors of data acquired by remote sensing sensors. Correction of this type of error requires knowledge about the atmospheric conditions during imaging of the sensor. The aim of this study is to select an ideal location for the construction of a radiometric calibration site. Tehran province was selected as a case study to conduct research in a pilot environment. Based on the studies performed on the CEOS standards in site selection as well as the criteria observed in Cal Val sites, 14 parameters were selected as important and necessary parameters for calibration site selection. The data used in this research include two categories of satellite data and GIS layers. After applying the preprocessing on the data and obtaining the weight of each layers, suitable places were obtained for the construction of the calibration site between 2012 to 2019 years. Due to the importance of the consistency of the selected place during different years, the places that were always suitable between the evaluated years, were selected. The results of the research show an ideal location in the western region of Tehran for site construction, which has been selected very well suitable in terms of all criteria. In addition to developing the appropriate location for the calibration site uses, instruments such as san-photometer and goniometer were also developed to be installed on the site to provide services to multispectral and hyperspectral sensors. Manuscript profile -
Open Access Article
18 - Designing and development of a solar radiation system for atmospheric correction of satellite images
حسن حسنی مقدم Omid Coupanian Abbas Bashri Hamid Reza KhodadadiApplying atmospheric corrections in order to reduce the attenuation effects of the atmosphere on the quality and accuracy of the recorded data, requires a comprehensive knowledge of the conditions, characteristics, and behavior of the atmosphere as the sensor passes thr MoreApplying atmospheric corrections in order to reduce the attenuation effects of the atmosphere on the quality and accuracy of the recorded data, requires a comprehensive knowledge of the conditions, characteristics, and behavior of the atmosphere as the sensor passes through the target coordinates. Nowadays, many equipment's, models and algorithms are used to study the components of the atmosphere. For this reason, in this research, a native solar radiation system was designed and built to calculate the optical depth of air aerosol. In order to simulate and investigate the effects of changes in each atmospheric component, the MODTRAN model was used in PCModWin environment. In this electro-optical system, at two wavelengths of 450 and 550 nm, due to the absorption range of the air aerosol, in two different days in terms of the amount of pollutants in the atmosphere, intense data were recorded. In order to ensure the uniformity and linearity of the response of the designed electro-optical system to measure changes in the intensity of sunlight, radiometric calibration of this system was performed. Using atmospheric models, from the recorded intensity data, the optical depth of the weather and the horizontal atmospheric metrics were calculated. In order to verify and evaluate the performance of the designed system, optical depth data obtained from MODIS (Aqua) sensor and horizontal exponential data of Mehrabad Airport meteorological station were used. The results of the accuracy evaluation showed that the calculation of the optical depth by the system designed and the MODIS sensor (Aqua) both shows a number of 0.5 in the passing hour of the satellite. The results also show a good correlation between the horizontal visibility calculated in this study and the data obtained from the reference meteorological station. Manuscript profile -
Open Access Article
19 - Comparison of Soil Moisture Accounting model and Neuro-fuzzy for Rainfall-Runoff Modeling (Case study: Zola Chay watershed)
Ebrahim Yousefi MobarhanHydrological simulation of watersheds applies for estimating peak discharge and runoff volume from rainfall, flood routing in rivers and flood hydrograph analysis. The purpose of this study is application of soil moisture accounting (HMS SMA) and Neuro-fuzzy models in d MoreHydrological simulation of watersheds applies for estimating peak discharge and runoff volume from rainfall, flood routing in rivers and flood hydrograph analysis. The purpose of this study is application of soil moisture accounting (HMS SMA) and Neuro-fuzzy models in daily flow, The purpose of this study is application of soil moisture accounting (HMS SMA) and Neuro-fuzzy models in daily flow. runoff volume and hydrograph analysis of the simulated rainfall - runoff in the Zola Chay watershed. In this study after of Zola Chay watershed modeling with HEC-GeoHMS Extension, In this study after of Zola Chay watershed modeling with HEC-GeoHMS Extension. the model entered to HEC-HMS program and by parameters estimating of soil moisture accounting model, the rainfall- runoff simulation in other scales has been done. By analysis of time scales for calibration and optimization of HMS SMA model parameters we can claim that the monthly time scale rainfall - runoff simulation accurate than annual, seasonal, semiannual and annual time scales can be better than the other time scales of flow to estimate peak. Comparing the calibration and optimization soil moisture and Neuro-fuzzy methods revealed that fuzzy method can simulate rainfall- runoff relationship better than SMA model by best statistical coefficients (E= 0.76 and RMSE= 0.18). Manuscript profile -
Open Access Article
20 - Study of changes in water resource components and sediment rates of Atrak Watershed before and after the Shirin dareh dam Building Using SWAT, calibration and model uncertainty
mahboobeh HajibiglooCalibration and analysis of model uncertainty were performed using SUFI-2 program. P-factor, R-factor, br2 and r2 indices were used to evaluate the ability of SWAT model to simulate runoff and sediment before Shirin Dareh dam construction and after Shirin Dareh dam cons MoreCalibration and analysis of model uncertainty were performed using SUFI-2 program. P-factor, R-factor, br2 and r2 indices were used to evaluate the ability of SWAT model to simulate runoff and sediment before Shirin Dareh dam construction and after Shirin Dareh dam construction. The aim of this study is to evaluate the efficiency of SWAT model in estimating average daily flow and sediment concentration and calibration and validation of this model in Atrak watershed located in North Khorasan Razavi province. The results showed that the monthly runoff before shirindare dam building coefficients in calibration P-factor, R-factor, br2 and r2 at the outlet to the 0.73, 1.15, 0.53 and 0.56 and in validation stage 0.77, 1.3, 0.48 and 0.58 respectively. The values for calibration of sediment concentration at the outlet, respectively, 1.58, 2.15, 0.98 0.25, and 0.47 respectively at the stage of validation is 2.5, 0.32 and 0.57. The output produced by the model, Shirin dareh sub-basin to be known as the most erosion. The high annual sediment into the reservoir of the dam and the shelf life is reduced. The results showed that SWAT simulated runoff much better than sediment. The reasons for model poor for simulation of sediment load can be Flow Low simulation, few data, use sediment information Discontinuity can be mentioned. Manuscript profile -
Open Access Article
21 - Comparison the Calibration of Call Option Pricing Models Based on Stochastic Volatility and Generalized Integral Transformation Technique
Forough Lotfi Reza Aghajan Nashtaei Mehdi Meshki MiavaghiThe purpose of this research is to compare the calibration of options pricing models based on Stochastic Volatility and the Generalized Integral Transformation Technique. For this purpose, the Generalized Integral Transformation Technique based on fixed Volatility and H MoreThe purpose of this research is to compare the calibration of options pricing models based on Stochastic Volatility and the Generalized Integral Transformation Technique. For this purpose, the Generalized Integral Transformation Technique based on fixed Volatility and Heston model based on Stochastic Volatility were used for pricing call options. In order to implement the proposed models, This research has used the call option data offered in the Tehran Stock Exchange. The results showed that in the state of In-the-Money and At-the-Money, the Heston-based calibration works better than the Generalized Integral Transformation Technique in all maturity scenarios. In the case of Out-of-the-Money, although the calibration of the Heston model performs poorly in the short-term scenario, but as the time to maturity increases, the calibration of the Heston model has responded better than the Integral Transformation Technique in the mid-term and long-term scenario. Therefore, it is suggested that in order to develop the educational infrastructure and culturalization of options, the Department of New Financial Instruments of Tehran Stock Exchange Company can consider the model presented in this manuscript to calculate the key parameters of option contracts in different scenarios, And in this way, a more accurate valuation of option contracts can be obtained. Manuscript profile -
Open Access Article
22 - Three Dimensional Model Reconstruction of a Cuboid Based on Stereo Vision
Heidar Abdollahian Khalil Khalili Kamran Kheiralipour Mohammad Reza Asadi Asad Abad -
Open Access Article
23 - A novel method for Sentinel-2 satellite images radiometric calibration
Abbas Bashiri Hasan Hasani Moghaddam Mohamad Javad Khodam Seyyed Mohammad Afghahi Hassan Tabarsi -
Open Access Article
24 - Application of verification in groundwater flow simulation using PMWIN and MODFLOW computer codes (A case study of Behbehan plain aquifer modeling)
نصرالله کلانتری حمیدرضا ماجدی -
Open Access Article
25 - Application of calibration transfer method exploiting multivariate standardization for detection and quantification of parabens in aquatic environments using gas-mass spectrometry chromatography
Maryam Vosough Maryam Torbati Kourosh Tabar HeydarParabens are widely used as preservatives in pharmaceuticals, food, and personal care products. Solid phase extraction (SPE) is one of the most frequently used methods for monitoring parabens in aqueous samples. However, SPE is a costly and time consuming method. In thi MoreParabens are widely used as preservatives in pharmaceuticals, food, and personal care products. Solid phase extraction (SPE) is one of the most frequently used methods for monitoring parabens in aqueous samples. However, SPE is a costly and time consuming method. In this study, the application of piecewise direct standardization (PDS) method for transfer of direct calibration of gas chromatography -mass spectrometry (GC-MS) data to SPE-based calibration and quantification of methyl, ethyl, propyl, and butyl parben derivatives in aqueous environmental samples has been evaluated. In this method, at first, a multivariate model is constructed using different chromatographic regions based on only two subsets of direct and extracted calibration data, and then a transformation matrix is obtained, which in the next step it can correct all direct calibration samples to be matched with SPE-based data. Modeling validation was confirmed using altrernating trilinear decomposition (ATLD) method, and the recovery values were 81-106% and the mean relative prediction error was 2.1-6.4% for validation samples. Finally, modified direct calibration samples were used to detect and predict pollutants (at low µg/l values) in several real water samples. Manuscript profile -
Open Access Article
26 - Operation of Multiple Reservoirs by utilization of Simulation Method for Analysis of System Dynamics
A Mansoori V Khatib -
Open Access Article
27 - Calibration of Area-Reduction Empirical Method for Dam Reservoir
Seyed Habib Musavi-Jahromi Maryam Eghdam Hossein Sedghi -
Open Access Article
28 - Application of Generalized Geometric Bravoni Motion Model by Markov Switching Regime Process in Stock Price Simulation: System Dynamics Approach
Nahid Malekiniya Hosein Asgari Alouj zaher sepehrianObjective: In this study, the changes of the stock price of Iran Khodro Company listed in Tehran Stock Exchange (TSE) has been studied on the issue of prediction modeling during of 9/13/1387 to 13/12/1396 based on Geometric Brownian Motion (GBM) model generalized by the MoreObjective: In this study, the changes of the stock price of Iran Khodro Company listed in Tehran Stock Exchange (TSE) has been studied on the issue of prediction modeling during of 9/13/1387 to 13/12/1396 based on Geometric Brownian Motion (GBM) model generalized by the Markov switching regime (MSR).Methods: The research model was designed by system dynamics (SD) approach and Vensim DSS software in the causal- loop diagrams (CLD) firstly and then after specifying the flow-state variables, mono-loop and two-loop stock–flow diagrams (SFDs) was designed and daily final stock price was simulated. Two-parameter of noise seed and time step were identified and applied as sensitivity analysis parameters.Results: The simulation error was estimated for the random variations of the noise seed and the time step configured by default user parameters up to 22/74 and 30/35 percent, respectively. Both parameters were calibirated due to higher simulation error than acceptable error of 15 percent. Trial - error and field observation methods was performed in order to appropriate estimation of the calibration parameters range.The post-calibration accuracy of simulation per noise seed parameter increased from 77/26 to 91/5 percent and per time step from 69/65 to 96/37 percent.Conclusion: Findings indicate that the error roots have reached to the ideal mode by optimizing of the calibration parameters as covariance inequality error approached to one unit and base inequality error and variance inequality error approached to zero and indicate functionality accuracy of the GBM generalized by the MSR in stock price simulation. Manuscript profile -
Open Access Article
29 - Technical Analysis indicators calibration using Cellular Automaton Algorithm for use in high-frequency trading
alireza Ahmadi Ali Paytakhti Oskooi Siroos Fakhimi Azar Younes Badavar NahandiThe present study was conducted with the aim of localizing technical analysis indicators in the Tehran Stock Exchange in order to predict stock price movement trends in implementing high frequency trading by the momentum method. In this study, calibration of exponential MoreThe present study was conducted with the aim of localizing technical analysis indicators in the Tehran Stock Exchange in order to predict stock price movement trends in implementing high frequency trading by the momentum method. In this study, calibration of exponential moving average, Bollinger Bands, Relative Strength Index (RSI), degree of difference, stochastic indicator and cash flow index was performed using cellular automata algorithm. The statistical population of this research consists of data obtained from transactions performed in the Tehran Stock Exchange during a three-year period from 7/23/2019 to 7/22/2019. According to the obtained results, there is a need to change the periodicity of the indicators calculations, so that the indicators of exponential moving average, Bollinger Bands, relative strength index, degree of difference, the stochastic indicator, the cash flow index have been changed from 14 to 2 days, 20 to 2 days, 14 to 13 days, 12 to 2 days, 14 to 4 days, and 14 to 20 days, respectively. As a result of the changes made, the increases in predictive power of the above indicators were achieved up to 1.35%, 36.90%, 1.89%, 30.52%, 64.20%, 0.24%, respectively. Manuscript profile -
Open Access Article
30 - Simulation the effects of water deficit irrigation on wheat and corn yield using the Budget model (study on Bilasuvar plain)
elnaz aliabadi Fariborz Ahmadzadeh KaleybarCorrect and convenient management of water resources by preserving the sources in regional and national scales is an inevitable need. Models are the best methods to select most efficient irrigation method lead to high yield response. In this simulation effects of water MoreCorrect and convenient management of water resources by preserving the sources in regional and national scales is an inevitable need. Models are the best methods to select most efficient irrigation method lead to high yield response. In this simulation effects of water deficit irrigation in Bilasuvar plain on the north-east of Ardabil province has been simulated on wheat and corn crops using Budget soil and water balance model. By choosing the product, minimum and seasonal methods with different time steps and also setting the relative evapotranspiration or relative evaporation model has been calibrated for the observation year (2004-2014) and amount of yield was estimated. Result of the statistical analysis shows that choosing the product method with 10 day time periods provides the best simulation using relative evapotranspiration with amounts in an R^2 of 0.98, an RMSE of 78% and an EF of 0.83 that between observed and simulated data of wheat and amount in an R^2 of 0.87, an RMSE of 7.4% and an EF of 0.83 of corn. Later water consumption graphs, performance for each statistic period (2004-2014) under different irrigation strategies have been drawn for both crops. Results demonstrates significant impact of rainfall amount, water preservation capacity, water consumption management and water tension in both crops during the middle stage of its growth compared to the stages of growth including first and final stage. This important fact must be considered for planning the water deficit irrigation schedule. Manuscript profile -
Open Access Article
31 - Simultaneous spectrophotometric determination of lidocaine and hydrocortisone acetate in pharmaceutical preparations by multivariate calibration methods
Amir H.M. Sarrafi Manochehr Bahmaei Assieh Z. Mousavi -
Open Access Article
32 - مطالعه عملکرد یک حسگر نیرو/گشتاور ششمولفهای نوع ستونی از سه منظر نظری، شبیهسازی و تجربی
سیدرضا حمزه لو محمدمراد شیخی حسین اکبریA multi-component force/torque sensor using strain gauges is applied to measure the static or dynamic forces and also the moments in all axis simultaneously. The applied column-type six-component force/torque sensor is composed of two flanges and a cylindrical elastic f MoreA multi-component force/torque sensor using strain gauges is applied to measure the static or dynamic forces and also the moments in all axis simultaneously. The applied column-type six-component force/torque sensor is composed of two flanges and a cylindrical elastic force-sensing element with a particular pattern of installed strain gauges. In this research the pattern of strain gauges on sensor is presented to electrically decouple each component of the applied loads. The theoretical model was developed for the presented pattern. Also the finite element simulation carried out with ABAQUS for whole model to evaluate the accuracy of the pattern in different situations. Furthermore, variety of load cases including the axial loads, the torsional torque and bending moments were applied to the prototype sensor to report the percentage deviations of experimental strains related to the equivalent theoretical model and the simulations. The results show that the actual values of the main diameter components of the calibration matrix not only are different from the theoretical values but also this matrix would not necessarily be diagonal. It is observed that the percent deviation of the simulation strains from theoretical values in all loading cases would be under 3%. As a prominent result, the minimum and maximum deviation between theoretical and experimental is related to shear force (Px) and bending moment (Mx) respectively by values of 0.27% and 8.12%. Manuscript profile
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