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Open Access Article
1 - Impact of geometry and magneto-optical properties on field enhancement and optical bistability in core–shell nanoparticles
Tayebeh Naseri Fatemeh Pourkhavari -
Open Access Article
2 - Improving the Operation of Text Categorization Systems with Selecting Proper Features Based on PSO-LA
Mozhgan Rahimirad Mohammad Mosleh Amir Masoud Rahmani -
Open Access Article
3 - Diagnosis of hyperlipidemia in patients based on an artificial neural network with pso algorithm
asma naeimi minoo soltanshahi amir rajabi -
Open Access Article
4 - A New Shuffled Sub-swarm Particle Swarm Optimization Algorithm for Speech Enhancement
Masoud Geravanchizadeh Sina Ghalami Osgouei -
Open Access Article
5 - Presenting a Multi-Objective Mathematical Model for Time-Cost trade off Problem Considering Time Value of Money and Solve it by MOPSO Algorithm
M.A Shafiiee M.R Shahriyary فرهاد hosseinzadeh lotfi reza radfarThe time - cost tradeoff problem is one of the most critical issues in the project scheduling field and so far, a lot of research has been done with a variety of quantitative and qualitative approaches on this subject. In this research, we intend to provide a two - obje MoreThe time - cost tradeoff problem is one of the most critical issues in the project scheduling field and so far, a lot of research has been done with a variety of quantitative and qualitative approaches on this subject. In this research, we intend to provide a two - objective mathematical model which balances crash and delay for activities. So that it provides the right tools for decision makers to decide on the scheduling of activities, with considering available facilities and time available, to complete the project. In the proposed mathematical model, it is attempting to use the assumptions such as the nonlinear cost function as well as the time value of money so that the problem conditions will be as close as possible to the real environment. At the end, we solve the mathematical model presented in this paper using the Multi Objective Particle Swarm Optimization (MOPSO) algorithm and the impact of the crash and delay for activities in the final non-dominated solutions is investigated. Manuscript profile -
Open Access Article
6 - The Prediction of Iran's Per Capita Health Expenditures up to 2041 Horizon Using the Genetic and Particle Swarm Optimization Algorithms
abolghasem golkhandan Somayeh SahraeiIntroduction: prediction the per capita health expenditures can be useful and effective in determining the best policies for financing and managing of health expenditures. Accordingly, the main objective of this study was to predict the per capita health expenditures tr MoreIntroduction: prediction the per capita health expenditures can be useful and effective in determining the best policies for financing and managing of health expenditures. Accordingly, the main objective of this study was to predict the per capita health expenditures trend in Iran. Methods: In this paper, we specified a health expenditure model relying on theoretical basics in order to obtain desirable forecasts. On the basis of three forms of linear, exponential and quadratic equations and using theoretical foundations in the field of per capita health expenditure function, we used genetic algorithm (GA) and particle swarm optimization (PSO) algorithm to simulate Iranians per capita health expenditure during 1979-2015. Then we selected the superior model in terms of prediction power criteria and forecast per capita health expenditure until 2041. Also, the statistical analyzes were performed using the MATLAB software version R2016b. Results: The predicted results indicate that per capita health expenditures in Iran will increase with a positive slope by 2041. The amount of this expenditure will be from $ 1081 (based on 2011 constant prices) in 2015 to $ 2628 in 2041 (about 2.5 times). Conclusion: With regard to the projected amount of per capita health expenditures up to 2041 horizon, policy makers in the health sector should take the necessary measures to finance the expenditures of this sector. Manuscript profile -
Open Access Article
7 - Allocation of Fire Stations by Hybrid Method (Case Study: Mashhad)
Hamed Kharaghani Hossein Etemadfard Ahmad Salem RafushIntroduction & Objective of the research: One of the service centers that play an important role in the safety of the city is the fire stations. Prompt and timely access from these stations to the scene of the accident requires the optimal distribution of fire stati MoreIntroduction & Objective of the research: One of the service centers that play an important role in the safety of the city is the fire stations. Prompt and timely access from these stations to the scene of the accident requires the optimal distribution of fire stations throughout the city. The study's purpose is to investigate the proper location of fire stations in the city of Mashhad using hybrid methods. Research Method: This research is an applied goal and is descriptive-analytical in type. Layers of information The criteria for distance from existing fire stations, medical centers, roads, administrative centers and training centers in the spatial information system environment are prepared and weighted using the Analytic Hierarchy Process (AHP). Then, the overlap map of these criteria was classified into five classes and the first 20 points in the most suitable classes for the construction of the fire station were selected. Then, using genetic algorithms (GA) and particle swarm (PSO) and using the criteria of distance from sports centers, religious centers, gas stations and gas stations, cultural, historical and commercial centers, these 20 selected points were compared with each other and The optimal point for the construction of a fire station has been proposed. Results: GA and PSO have proposed the same point with a fit function of 4.98 as the best place for the construction of a fire station in Mashhad. Conclusion: The performance results of the two meta-heuristic algorithms show that according to the defined parameters for each of the algorithms, PSO reaches the optimal answer in less time than GA. Manuscript profile -
Open Access Article
8 - Optimizing energy consumption in the building sector using neural networks and PSO algorithms (Case study: Bandar Abbas city)
fakhri allahyari Azita Behbahaninia Hossein Rahami Maryam Farahani Samira KhadiviBackground and Objective: Energy consumption in buildings accounts for one third of the country's annual energy consumption, so it is important to provide solutions that can reduce energy consumption in this sector.Material and Methodology: Using questionnaires and expe MoreBackground and Objective: Energy consumption in buildings accounts for one third of the country's annual energy consumption, so it is important to provide solutions that can reduce energy consumption in this sector.Material and Methodology: Using questionnaires and experts’ opinions, effective parameters in energy optimization in Construction Engineering Organization of Bandar Abbas were identified. Variables such as wall and ceiling material, area and type of windows, wall and ceiling insulation thickness were selected. Different modes were investigated with Design Builder software. By training two separate neural networks, how the inputs are connected to two important outputs, which is the amount of energy and carbon dioxide, was obtained. And optimization was performed using the PSO algorithm.Findings: In the obtained model, brick wall with insulation thickness of 5cm, beam roof with insulation thickness of 5cm, triple glazing, ratio of north and east windows to wall in the same direction 70%, ratio of south window to south wall between 41 to 43 percent and the ratio of the west window to the west wall is between 65 to 67 percent, in which the amount of energy and carbon dioxide is the minimum.Discussion and Conclusion: If the energy is selected as target function, the results obtained from the PSO are closely consistent with the optimization results for when the target function is the amount of carbon dioxide. These two functions are in line with each other, and optimizing one will lead to optimizing the other. Manuscript profile -
Open Access Article
9 - Investigating Water Quality of Sufi Chay river using macrobenthos indicators
mahsa mobasheri lobat taghavi Seyed Mohammad Bagher NabaviBackground and Objective: The present study investigates the water quality of Sufi Chay river in Maragheh, Iran using Benthos groups and their population structures in 2015. Material and Methodology: Overall, 9samplingsites were selected in the region and Macrobenthos MoreBackground and Objective: The present study investigates the water quality of Sufi Chay river in Maragheh, Iran using Benthos groups and their population structures in 2015. Material and Methodology: Overall, 9samplingsites were selected in the region and Macrobenthos were sampled in triplicate at each siteusing a 25×50 surber. The samples were stabilized by Formaldehyde 4% and their species, family and genus were identified. A total of20Macrobenthos species from 19 families, 10 orders and 2 classes were evaluated. Baetis sp. was the dominant species in winter and summer. Findings: The results indicate that the 7 and 9 sites with the aggregation of 47 and 128 Macrobenthos per m2 were dominant in winter and summer, respectively. Regarding Welch model, water quality of Sufichay river was moderate at most sites in both seasons. However, the water quality at the 7 site in winter and the 8 and 5 sites in summer was unsuitable. According to the BMWP Index, water quality of the river, except the 8 and 9 sites in winter, was suitable. Discussion and Conclusion: Regarding the results of this research it can be concluded that Macrobenthos community is an effective bioindicator to assess environmental conditions of the Sufi chay river. In addition, the results of this study display the relatively suitable water quality of Sufi Chay river. Manuscript profile -
Open Access Article
10 - The Impact of Jajarm Alumina Plant on Topsoil Contamination with Lead
Mehdi Elahi Soheila Rezaitabar Abdolali Vahdani Mohamad sharif FazeliBackground and Objective: Presence of heavy metals in different parts of the environment (such as, soil) has adverse effects on organisms’ health. The main sources releasing these pollutants to the environment are industries and mines. Therefore, in this study, th MoreBackground and Objective: Presence of heavy metals in different parts of the environment (such as, soil) has adverse effects on organisms’ health. The main sources releasing these pollutants to the environment are industries and mines. Therefore, in this study, the effect of Jajarm Alumina plant (located in North Khorasan province) on contamination of topsoil with Lead (Pb) around the factory, has been proceed. Method: Sampling of topsoil (depth < 10 cm) was carried out in 2008, considering the dominant wind direction (Northwest-Southeast) and distance from factory. 38 sites in 10 km of radius around the factory and also one evidence site 20 km away from the factory were studied. After preparing samples, Pb concentration was measured by atomic absorption spectrometry (Philips, PU 9400). Results: Comparison of mean concentration of Pb in main geological directions of the factory, showed a significant difference between them (p < 0.05). Despite the direction of dominant wind, maximum and minimum mean concentrations of Pb were observed in the north (27.34 mg/kg) and south (9.40 mg/kg) respectively. Also, investigation of relationship between Pb concentrations with distance from the factory (in main geological directions) showed a positive significant correlation in the east of the factory. Conclusion: Overall, results showed that Jajarm Alumina plant has not a significant effect on topsoil contamination with Pb Manuscript profile -
Open Access Article
11 - Style investing and portfolio composition based on fundamental ratios and technical indicators
Kamran Pakize Milad Rahmani Fatemeh AzizzadePortfolio management and optimization is a crutial issue in investment management. Style investing is a way to earn more returne rather than a benchmark index. A style can be thought of as any characteristic relating a group of securities that is important in explaining MorePortfolio management and optimization is a crutial issue in investment management. Style investing is a way to earn more returne rather than a benchmark index. A style can be thought of as any characteristic relating a group of securities that is important in explaining their return and risk. These factors are grounded in academic research and have solid explanations as to why they historically have provided a premium. Empirical studies show that these factors have exhibited excess returns above the market. This study describes a new approach to portfolio management using stocks. The investment models tested incorporate a fundamental and technical approach using financial ratios and technical indicators. Also the effect of using six equity risk premia factors(styles) are examined in the study as follows: Value,Growth, Low Cap size, Big Cap size ,High Quality and Low Quality on portfolio performance. For doing this, a Particle Swarm Optimization (PSO) is used to optimize the model. As a case study, Performance of proposed method is tested by historical data of Tehran Stock Exchange for years 2012 to 2015. Results show that the proposed method has obtained higher Sortino ratio rather than the Tehran Stock Exchange market index. Also, Small cap stocks portfolio captured higher returne rather than Big caps for all three years, and Growth stocks portfolio had bether performance in contrast to Value stock for 2012 and 2013. For the Quality factor, High quality stocs portfolio had a better performance in contrast to Low quality stocks portfolio for 2012 and 2013. Manuscript profile -
Open Access Article
12 - Error estimation of fuzzy Newton-Cotes method for Integration of fuzzy functions
N. Ahmady E. Ahmady -
Open Access Article
13 - Hybrid PSOS Algorithm For Continuous Optimization
A. Jafarian B. Farnad -
Open Access Article
14 - New characterization of some linear groups
A. Khalili ‎Asboei‎ R. Mohammadyari M. Rahimi-Esbo -
Open Access Article
15 - Narratology of “Symphony of the Dead” by Abbas Maroufi based on “Simpsons” theory
Samaneh Pasban Vatan Fateme HeydariThis research tries to examine the narrative viewpoint in Abbas Maroufi's novel entitled "Symphony of the Dead" in an analytical-descriptive way. This study is based on the model proposed by Simpson in 1993. It takes place in which the narrative and the narrative viewpo MoreThis research tries to examine the narrative viewpoint in Abbas Maroufi's novel entitled "Symphony of the Dead" in an analytical-descriptive way. This study is based on the model proposed by Simpson in 1993. It takes place in which the narrative and the narrative viewpoint are examined in a systematic and methodical way. First, we try to find out what kind of narrator is in this story based on Simpson's model, and then we examine whether the modality of the story is positive, negative or neutral. By studying this research, we find that the narrator is changing between the first person and the third person, each of which has had an effect on the advancement of the narration. The dominant modality in the story,based on Simpson's categorization is Positive, Which illustrates the commitment and self confidence of the narrator about the story's adventures and his decisive view about ignorance and prejudice in contrast to intellectual and consciousness. The Modal System used in the novel is imperative and implicit that it shows by modal-word verbs, emotional words such as Adjective and evaluative Adverb, verbs of reporting that represent thoughts and behaviors and statements the generalizations.Of course, in some parts of the story, there is a negative modal that points to the skepticism of the characters of the story. Manuscript profile -
Open Access Article
16 - Investigating Management Factors affecting Weed Biodiversity Indices and yield of Wheat Field in Chenaran township Using CART Decision Tree
setayesh kheradmand Behnam Kamkar javid gherekhloo mohammad hasan hadizadeh ghorbanali rasamInvestigation on Management Factors affecting Weed Biodiversity Indices and yield of Wheat in Chenaran Township (Iran) Using CART Decision TreeAbstractIn order to study the effect of field management methods and environmental factors on wheat (Triticum aestivum L.) yiel MoreInvestigation on Management Factors affecting Weed Biodiversity Indices and yield of Wheat in Chenaran Township (Iran) Using CART Decision TreeAbstractIn order to study the effect of field management methods and environmental factors on wheat (Triticum aestivum L.) yield, weed control, weeds in two consecutive years were studied in 200 farms of 20 villages located in four directions of Chenaran Township, Iran. For this purpose, sampling was carried out using (w) method with a 0.25 m 2 quadrate. Weed species were identified and their number per square meter was determined. Then, the Shannon-Weiner Index and Simpson Equilibrium Index were calculated for biodiversity measurement. Quantitative and qualitative management factors were prepared in the form of farmers' questionnaire. For this purpose, all informations on agronomic management including land area, farmers' history, seedbed preparation and weed control were recorded the forms of a questionnaire during the growing season. At the end of the growing season, the actual yield obtained by the farmers was recorded. The analysis using Classification and Regression Trees (CART) method showed that among different parameters, the agricultural experience, number of dual purpose herbicides (herbicides which control both grasses and broad leaf weeds), nitrogen, potassium, summer planting last two recent years before centrifugal wheat seed planting, farmer age, the Shannon-Weiner and Simpson indices had significant changes. The most important management factors affecting wheat yield were splitting of fertilizer, the number of dual purpose herbicides and fertilizer, as well as rotation and educational levels. The results of this study showed that the appropriate amount of potassium and nitrogen fertilizer and selection of suitable alternatives are effective management strategies to improve wheat yield and increase biodiversity in Chenaran area.Key words: Simpson index, Shannon-Weiner index Manuscript profile -
Open Access Article
17 - Spatial and temporal assessment of weeds biodiversity in wheat agroecosystems of Bandar-e-Torkeman county, Golestan province
Maral Neyazmoradi Hossein Kazemi Javid Gherekhloo Afshin Soltani Behnam KamkarThis research was conducted to study of diversity and weed population structure of wheat agroecosystems of Bandar-e-Torkeman county in 2018-2019 year. Diversity indices such as Shannon-Wiener and Simpson for fields and frequency, relative frequency, relative uniformity MoreThis research was conducted to study of diversity and weed population structure of wheat agroecosystems of Bandar-e-Torkeman county in 2018-2019 year. Diversity indices such as Shannon-Wiener and Simpson for fields and frequency, relative frequency, relative uniformity and relative density indices for all weed species were calculated and measured in two time stages, before and after chemical treatment with herbicides. Obtained data from diversity indices were moved in the GIS media and weed species maps of wheat fields were prepared. In this study, we were identified 18 species from 9 plant families. The checking of plant species showed that 66.67% and 33.33% were belonged to annual and perennial, also, about 27.77% and 72.23% were narrow-leaved and broad-leaved, respectively. Gramineae species include Avena ludoviciana, Lolium temulentum, Phalaris minor, Alopecurus myosuroides and Polygon monspeliensis, Fabaceae species include Medicago scutellata, Polygonom avicular, Vicia villosa and Oxalis corniculata and Compositea species such as Helianthus annuus and Cirsium arvense, had about 27.77, 22.22 and 11.11 percent of the available plant species, that were recognized as the most important plant families in wheat fields of county, respectively. In this study, weed distribution maps in wheat fields of the county before and after chemical control were prepared in three frequency groups of 50-100, 30-50 and less than 30% and showed an almost uniform distribution of weeds in surveyed region. Manuscript profile -
Open Access Article
18 - Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters
Mohammad Amin Heidari Mehdi Nafar Taher NiknamIn this paper particle swarm optimasation algorithm (PSO) based sliding mode controller(SMC) introduced to control invrters of Uniefied power quality Controllers(UPQC) to control and improve the power quality in microgrids through controlling the output power of the dis MoreIn this paper particle swarm optimasation algorithm (PSO) based sliding mode controller(SMC) introduced to control invrters of Uniefied power quality Controllers(UPQC) to control and improve the power quality in microgrids through controlling the output power of the distributed generation source. In the proposed control scheme, the standard sliding mode controller (SMC) is used as a robust nonlinear controller, with the addition of the particle swarm optimization (PSO) algorithm - to determine the optimal parameters of the SMC controller. Using PSO added extra advantages like reducing chattering problems and increasing accuracy and tracking capability to the commonly knowns SMC benefits. To confirm the accuracy of the proposed controller's performance, computer simulation is performed under different system load conditions in the MATLAB/Simulink software environment. The obtained results show the effectiveness of the proposed control compared to the standard sliding mode controller in reducing harmonics, reducing voltage imbalance and improving other power quality indicators. Manuscript profile -
Open Access Article
19 - Reduce spike noise from artificial aperture radar (SAR) images using Corvette conversion
Ameneh Rajabpour boshehri Ahmad KeshavarzIn this paper, an adaptive method based on carroll conversion is introduced to reduce spike noise. Speckle noise is a multiplicative impurity that in this paper we first convert to mass with a preprocessing step. An interest function is then introduced to threshold the MoreIn this paper, an adaptive method based on carroll conversion is introduced to reduce spike noise. Speckle noise is a multiplicative impurity that in this paper we first convert to mass with a preprocessing step. An interest function is then introduced to threshold the Coralt coefficients, which has three general thresholds. An objective function, based on an estimated noise correlation with the edges of the output image, then provides the optimal parameters in the threshold of the interest function by searching with a general search algorithm called the particle swarm optimization algorithm. The appropriate objective function is then considered for the PSO algorithm search and the results of speckle reduction are measured by the Violet method. Manuscript profile -
Open Access Article
20 - Production of silver nanoparticles by the Fungus Fusarium oxysporum that was cultured in different environmental conditions and comparision of their antibacterial efficiency with each other
F. Azami S.A. Manafi P. Pourali -
Open Access Article
21 - A new phenylpropanoid glucoside from Psorospermum tenuifolium Kotschy (Hypericaceae)
Gervais Mouthe Happi Alexis Sylvain W. Mbobda Marcel Frese Simeon Fogue Kouam Jean Claude Tchouankeu Bruno Ndjakou Lenta Norbert Sewald -
Open Access Article
22 - The Effect of Acceptance and Commitment Therapy (ACT) on Physical Symptoms, Psychosocial Flexibility and Social Health of Patients with Psoriasis
Mahnaz Aliakbaridehkordi somayeh ghafoori fariba jaffary Tayebeh MohtashamiThe purpose of this study was to investigate the effect of acceptance and commitment therapy (ACT) on physical symptoms, psychological flexibility and social health of patients with psoriasis. The design of the study was experimental with a pretest-posttest design with MoreThe purpose of this study was to investigate the effect of acceptance and commitment therapy (ACT) on physical symptoms, psychological flexibility and social health of patients with psoriasis. The design of the study was experimental with a pretest-posttest design with control and one-month follow-up. Thirty people with psoriatic who were referred to skin diseases Clinic of Sedigheh Tahereh in Isfahan were randomly chosen and assigned to two groups of 15 (experimental and control groups). In order to assess the physical symptoms, psychological flexibility and social health, Psoriasis Area Severity Index (PASI), Acceptance and Action Questionnaire (AAQ-II) and Keys' Social Health Questionnaire (2004) were used respectively. The results showed that acceptance and commitment therapy was effective in improving physical symptoms, psychological flexibility and social health of patients with psoriasis (P≤0.05). In sum, acceptance and commitment therapy can be used as an effective intervention for the improvement of physical symptoms, psychosocial flexibility and social health of patients with psoriasis. Manuscript profile -
Open Access Article
23 - Determining the desertification intensity based on spectral indices using Sentinel-2 images (Case study: Sistan and Baluchestan province)
Farhad Zolfaghari Vahideh AbdollahiBackground and Objective Different vegetation covers have different albedo levels. On the other hand, surface albedo is one of the most important components of surface radiation balance, which can be used to identify severely degraded and desertified regions. Vegetation MoreBackground and Objective Different vegetation covers have different albedo levels. On the other hand, surface albedo is one of the most important components of surface radiation balance, which can be used to identify severely degraded and desertified regions. Vegetation can be considered as one of the most important key components in arid regions to reduce the effects of erosion and desertification due to the effects of vegetation for land surface stability. Expansion of desertification and also changes in vegetation cover, could be change the surface Albedo. The purpose of this study is to determine the desertification intensity based on spectral indices, Albedo, Topsoil Grain Size Index (TGSI) and Normalized Difference Vegetation Index (NDVI) using remote sensing technology. Identification the damaged areas with the lowest cost in the shortest time, using Sentinel-2 images with a spatial resolution of 10 meters is one of the objectives of this study. Also, this study will introduce the best indicator for monitoring desertification intensity in arid regions for the first time in the Sistan and Baluchestan region based on spectral indices using Sentinel-2 images.Materials and Methods The following steps were performed to evaluate the intensity of desertification and identify the appropriate indicator in order to mapping the desertification intensity: 1) Selection the images and perform image preprocessing operations using SNAP software; 2) Calculation of TGSI, NDVI and Albedo indices; 3) Investigation the correlation between indices using SPSS®24 software. 4) Preparation of desertification intensity map of the region and obtaining the equation of desertification intensity using ArcGIS®10.3 software. In the first step of this research, Sentinel-2A satellite data related to MSIL-1C sensor was selected on August 20, 2020. The images were selected in such a way that the growing season of the plants is not annual and temporary, and also the day was selected when there is no cloud cover. The required images were downloaded and used from the URL address: http://scihub.copernicus.eu/. Results and Discussion The results of linear regression between NDVI and Albedo indices showed that, these two indices had negative correlation, and the correlation coefficient in Souran and Zabol was 0.76 and 0.63, respectively. The results showed that with increasing NDVI, decreased of the albedo index occurred. Also, the results of linear regression model showed strong and positive relationship between TGSI and Albedo indices, as the correlation coefficient of Souran and Zabol was 0.78 and 0.81, respectively. The results showed that the TGSI and the albedo simultaneously decreased or increased. Desertification intensity in the study areas was determined based on the equation I= a × Index ± Albedo and also by using Natural Breaks (Jenks) method in ArcGIS software, desertification intensity of study areas classified to 5 degrees, 1. Without desertification, 2. Low desertification, 3. Moderate desertification, 4. Severe desertification, and 5. Extremely desertification. In this study Albedo, NDVI and TGSI indices were extracted based on Sentinel-2 satellite data. The results of linear regression between NDVI and Albedo showed that there is strong negative relationship between these indices that was consistent with the results of similar studies. The high and negative correlation, means that any increase in the vegetation cover will lead to decrease the Albedo. On the other hands the areas with high Albedo, indicate degradation of vegetation cover and bare soil. In the regions with sever desertification intensity, the value of surface Albedo was high and the vegetation cover was low. Classification of desertification intensity in Sistan region based on Albedo-NDVI model showed that 27.73% of the area were in the class of without desertification intensity, 18.03% in the low class, 32.92% in the moderate class, 20.3% were in the severe class and only 1.02% of the area were in the very severe desertification intensity class. Also, the classification of desertification intensity in Souran based on Albedo-NDVI model showed 4.82% of the area without desertification, 8.44% in low class, 50.97% in moderate class, 34.48% in severe class and 1.3% of the area were in very severe desertification class. The highest percentage of desertification intensity of the area were in the moderate class. The results of linear regression between TGSI and Albedo indices also showed that there is a positive and strong relationship between these indices. The results showed that the relationship between TGSI and Albedo indices was stronger than the relationship between NDVI and Albedo indices and in both regions the correlation coefficient was higher. One of the main reasons for this is the dispersion of vegetation cover in arid areas. The relationship between TGSI and Albedo better shows the spatial characteristics of vegetation-free areas as well as areas with very low vegetation cover to determine the intensity of desertification. The TGSI index reflects the coarse particle size of the topsoil, which has a positive relationship with the fine sand content of the topsoil. Whatever the larger particle size of the topsoil, will have the greater desertification intensity. In the areas where the content of fine sand in the topsoil is high, the high range of TGSI index will be seen.Conclusion In this study, using Sentinel-2 multispectral images and remote sensing technique, we extracted the intensity of desertification in different arid regions of the Sistan and Baluchestan province, for the first time in Iran. Based on the spectral reflection that occurred from the ground and the spatial resolution of 10 meters, we studied the intensity of desertification in two areas. Based on the results of this research, we suggest to use the combination of Albedo-NDVI and Albedo-TGSI models in order to monitoring the desertification intensity in arid regions of Iran. The results of this study showed that areas without desertification and low intensity of desertification are better identified based on Albedo-TGSI model. Manuscript profile -
Open Access Article
24 - 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
25 - Improvement of the Extended-Enriched MLPG Meshless Method by Using Optimal Nodal Points Distribution to Find 3D-SIFs
B Ariannezhad Sh Shahrooi M Shishehsaz -
Open Access Article
26 - A three-step method based on Simpson's 3/8 rule for solving system of nonlinear Volterra integral equations
M. Tavassoli-Kajani L. Kargaran-Dehkordi Sh. Hadian-JaziThis paper proposes a three-step method for solving nonlinear Volterra integralequations system. The proposed method convents the system to a (3 × 3)nonlinear block system and then by solving this nonlinear system we ndapproximate solution of nonlinear Volterra MoreThis paper proposes a three-step method for solving nonlinear Volterra integralequations system. The proposed method convents the system to a (3 × 3)nonlinear block system and then by solving this nonlinear system we ndapproximate solution of nonlinear Volterra integral equations system. To showthe advantages of our method some numerical examples are presented. Manuscript profile -
Open Access Article
27 - Study on Weed Status in Mashhad Khorshid Park
Omid Torabinia Mohammad Bazoobandi Seyed Hossein Torabi Mohammad Hasan HadizadehTo beautify and improve landscape of Mashhad metropolitan city, weed situation of Khorshid Park was studied. Thirty weed species belonging to 15 plants families formed the relatively diverse weed communities established on plains and hillsides of the park most of which MoreTo beautify and improve landscape of Mashhad metropolitan city, weed situation of Khorshid Park was studied. Thirty weed species belonging to 15 plants families formed the relatively diverse weed communities established on plains and hillsides of the park most of which belonged to Asteraceae, Poaceae and Fabaceae families, respectively. Sixteen of which (53%) were annuals, 37% were perennials and 10% were biennials. the richness of the plain weed community with 26 species was more than hillsides with 20 species. Weed community in hillside weed was highly uniform while uniformity of weed community in plains was less than hillsides showing signs of dominance at the beginning of the season. The Logarithmic distribution model of species showed the habitats are not relatively demolished, The similarity between weed communities of plains and hillsides was less than the similarity between seasonal weed communities of each habitat indicating more adaption of weeds to habitat conditions. The less similarity was obtained between spring weeds of both habitats while the most similarity was observed between summer weed communities. This survey proved that plains are threatened by noxious weed species such as Acroptilon repens L., Cynodon dactylon L., Hordeum murinum L., Bromus tectorum L. and Setaria viridis L. while hillsides menaced by Acroptilon repens L., Alhagi camelorum Fisch., Cirsium arvense and Xanthium strumarium L. Manuscript profile -
Open Access Article
28 - Comparing the Distribution of the Vegetative Cover in Two Different Ecosystems
Hossein Sadeghzadeh Yazdi Mohammad Hasan Rashed Mohasel Leila Alimoradi This research was carried out to investigate the population structure of the plant flora of weeds in two different microclimates. To perform this experiment, two pieces of lands located in Mashhad, with dimensions of 95 × 20 m were selected; one of them was More This research was carried out to investigate the population structure of the plant flora of weeds in two different microclimates. To perform this experiment, two pieces of lands located in Mashhad, with dimensions of 95 × 20 m were selected; one of them was an abandoned agricultural land and the other was an abandoned garden. Both areas were without maintenance for about 8 years but the garden was irrigated just for grazing sheeps and goats. Sample taking from intersections of regular grids of 5 × 5 m by 1 × 1 m quadrates was conducted. After fitting the theoretical models of empirical variogram with interpolation of points, the maps of the species were drawn. To study the vegetative cover in both regions the α and β diversity indicators, the relative frequency, species richness, uniformity, Shanon-Veiwer and Simpson indices, and also similarity indicators, Ashtyn house, Jaccard and Sorenson similarity coefficient was determined. Totally 35 species which were belonged to 12 plant families were found, 15 species of which were found in the abandoned agricultural land but Alhagi pseudalhaji and two species of Lactuca genus were common in both lands. In the survey conducted, 31 species were dicots and 4 species were monocots. Climate conditions causes that in each region ecotype of plant species vary in terms of the number and families, thus effects on the diversity and distribution in the region. Manuscript profile -
Open Access Article
29 - Designing and evaluating the profitability of linear trading system based on the technical analysis and correctional property
CharaghAli Bakhtiyari Asl Sayyed Mohammad Reza Davoodi Abdolmajid Abdolbaghi Ataabadi -
Open Access Article
30 - A new two-phase approach to the portfolio optimization problem based on the prediction of stock price trends
Hamid Reza Yousefzade Amin Karrabi Aghileh Heydari -
Open Access Article
31 - Optimization of biomass supply chain network in four levels
Davod Dehghan Kiamars Fathi Hafshejani Jalal Haghighat MonfaredPollution due to biomass burial, the possibility of producing clean energy from biomass and the high demand for ‎energy have made the optimization of the biomass supply chain network important and necessary. The purpose of ‎this article is to optimize biomass su MorePollution due to biomass burial, the possibility of producing clean energy from biomass and the high demand for ‎energy have made the optimization of the biomass supply chain network important and necessary. The purpose of ‎this article is to optimize biomass supply chain network at four levels in order to reduce economic and ‎environmental costs. The most important gap in research, resolved in this article, is the determination of the ‎desirable and undesirable outputs of the masses in the centers. Separating and considering the multi-period, multi-‎product mode with heterogeneous transport means. The research model is a two-objective linear programming of a ‎correct number mixed with uncertainty and disturbance, four scenarios were designed for this purpose. The model ‎was solved with genetic algorithm and MOPSO method and with Python software. Validation of the model was ‎investigated in a real case study in Fars province has been The proposed model has been able to implement ‎sustainability and resilience at the same time, which has reduced costs, reduced carbon emissions, and increased the ‎commercialization of energy production from biomass, thus increasing the willingness of investors to invest in this ‎network. It is supplied from the supply chain. The proposed model makes the amount of energy production 2.1% ‎lower than when the favorable and unfavorable outputs are not considered, which means it is much closer to reality. ‎By performing sensitivity analysis on real data, the efficiency of the model was proved Manuscript profile -
Open Access Article
32 - Optimizing the cost of asphalt road pavement using particle swarm optimization algorithm (PSO) and compare it with the Shell method
Mansour Tohidi Navid Khayat Abdoulrasoul Telvari -
Open Access Article
33 - Evolutionary studies of the Vazneh and Baneh basins by using dimensionless hypsometric curves
Mamand salari Saeed kamyabi Omid moradiThe physical attributes of Basins have great effects on the process of erosion. Among the most importantparameters of basins that directly or indirectly have great effects on the erosion. For example the elevation ofbasin indicates its climatic condition and it is effec MoreThe physical attributes of Basins have great effects on the process of erosion. Among the most importantparameters of basins that directly or indirectly have great effects on the erosion. For example the elevation ofbasin indicates its climatic condition and it is effective in raining and considering the face that each rainfall hasits own hydrology it has special role in erosion. Therefore in order to analyze the condition of erosion andsedimentation with a comparative view in the basins of Vazne and Bane, undimensional hepsometric tables andcurves have been designed.It becomes clear that in the Vazne basin the development of plain and elevation is tosome extent balanced. The low space between two curves is indicative of the approach of the basin toequilibrium .in contrast in Bane basin considering the condition of the curves it becomes clear that tis Basin ismore away from that equilibrium and is younger and less development. Manuscript profile -
Open Access Article
34 - Taxonomic study of some biodiversity characteristics of the soil Laelapid mites in different habitats of Shahrood region-Iran
Parisa Qurani Massoud Hakimi Tabar Omid Joharchi Hamed GhobariThis study is based on survey on soil inhabiting Laelapidae that was carried out in year 2015 in different habitats of Shahrood region. In this study, 19 species belonging 10 genera and 3 subfamilies were collected and identified and determine some characteristics of bi MoreThis study is based on survey on soil inhabiting Laelapidae that was carried out in year 2015 in different habitats of Shahrood region. In this study, 19 species belonging 10 genera and 3 subfamilies were collected and identified and determine some characteristics of biodiversity. According to results of Laelaspisella berlesi (45) was the most abundant and Gaeolaelaps kargi, Gaeolaelaps angusta and Pseudoparasitus hajiganbari (0/46) were the least abundant. The highest Margalef index and Shannon-Wiener’s diversity index were calculated for forest and Simpson index were calculated for Bastam. Manuscript profile -
Open Access Article
35 - Optimal Analysis and Design Controller for Suppressing Vibration Smart Timoshenko Beam by Using Various Intervals
مجتبی حسنلو اجمد باقری فرید نجفیThe subject of this study was vibration damping of Timoshenko beam based on finding optimal place and number of piezoelectric sensor and actuator using LQR controller and MOPSO algorithm. Today, researchers make a lot of effort to make a structure have optimized reliabl MoreThe subject of this study was vibration damping of Timoshenko beam based on finding optimal place and number of piezoelectric sensor and actuator using LQR controller and MOPSO algorithm. Today, researchers make a lot of effort to make a structure have optimized reliable life, manufacturing cost, and power consumption. One of the researches on optimized and controlled smart structure is through using piezoelectric sensor and actuator so that the sensor and actuator can adopt the best controlling interest based on the type of approach to design the controller upon receipt of a vibration by sensor and with the transfer of vibration signals to the controller. Then, it can transfer a proper signal to the actuator. In fact, it is the actuator that tries to neutralize the vibrations of the structure in order to have a structure with longer life and lower failure and can meet the designer's objective in the best way. In this study, using MOPSO algorithm and defining the design variables, the best number and location to place the piezoelectric sensor and actuator at the bottom and top the bottom and top cantilever beam in in a specified range can be searched and then an optimal model of smart structure was suggested. Manuscript profile -
Open Access Article
36 - ارائه مدل استقرار بهیینهنهتوسط الگورتوسط الگورییتمتمهاهاییفراابتکارفراابتکارییدر صنادر صناییعع نساجنساجیی
بابک حاجی کریمی سلیمان ایرانزاده کمال الدین رحمانی حسین بیورانی علی محتشمی -
Open Access Article
37 - تجزیه و تحلیل حمل و نقل روبات ها با الگوریتم pso چند منظوره در بازار سرمایه مصنوعی
داود آشیانی سعید حسین سعادتی عبدالرضا صدیق منش -
Open Access Article
38 - Improvement of Left Ventricular Assist Device (LVAD) in Artificial Heart
Majid Neshat Yazdi Reihaneh Kardehi Moghaddam -
Open Access Article
39 - Lead-Lag Controllers Coefficients
نورالدین قدیمی -
Open Access Article
40 - Geoid Determination Based on Log Sigmoid Function of Artificial Neural Networks: (A case Study: Iran)
Omid Memarian Sorkhabi -
Open Access Article
41 - The reduction coefficient of PID controller by using PSO algorithm method for Flexible single-arm robot system
Mohammad Mehdi Moradi -
Open Access Article
42 - The Optimal Placement of Distributed Generation (DG) to Improve the Voltage Profile and Reduce Losses in Radial Distribution Networks Using PSO
Ali mohammadigeyklu Morteza aliasghari -
Open Access Article
43 - An Optimal Defect-free Synthesis of Four-bar Mechanisms by Using Constrained APT-FPSO Algorithm
SeyedAli MirMohammad Sadeghi Nima Bakhshinezhad Alireza Fathi Hamidreza Mohammadi Daniali -
Open Access Article
44 - Optimal State Feedback Control for Bicycle Stabilization using APT-FPSO Algorithm
Mana Azim Araghi Seyed Mohammad Nami Mir Mohammad Sadeghi Seyed Ali Mir Mohammad Sadeghi -
Open Access Article
45 - Use of the Improved Frog-Leaping Algorithm in Data Clustering
Sahifeh Poor Ramezani Kalashami Seyyed Javad Seyyed Mahdavi Chabok -
Open Access Article
46 - Sales Budget Forecasting and Revision by Adaptive Network Fuzzy Base Inference System and Optimization Methods
Kaban Koochakpour Mohammad Jafar Tarokh -
Open Access Article
47 - PSO-Based Path Planning Algorithm for Humanoid Robots Considering Safety
Roham Shakiba Mostafa E. Salehi -
Open Access Article
48 - Enhanced Comprehensive Learning Cooperative Particle Swarm Optimization with Fuzzy Inertia Weight (ECLCFPSO-IW)
Mojtaba Gholamian Mohammad Reza Meybodi -
Open Access Article
49 - Fraud Detection of Credit Cards Using Neuro-fuzzy Approach Based on TLBO and PSO Algorithms
Maryam Ghodsi Mohammad Saniee Abadeh -
Open Access Article
50 - A Combination of Genetic Algorithm and Particle Swarm Optimization for Power Systems Planning Subject to Energy Storage
Mohsen Mohammadhosseini Hamid Ghadiri -
Open Access Article
51 - An Efficient Economic-Statistical Design of Simple Linear Profiles Using a Hybrid Approach of Data Envelopment Analysis, Taguchi Loss Function, and MOPSO
Maryam Fazelimoghadam Mohammad Javad Ershadi Seyed Taghi Akhavan Niaki -
Open Access Article
52 - Sizing optimization of truss structures with discrete design variables using combined PSO algorithm with Special Particles Method
Ali Gheibi Reza SojoudiZadeh Hadi Azizian Mahdi Gheibi -
Open Access Article
53 - Optimizing the Prediction Model of Stock Price in Pharmaceutical Companies Using Multiple Objective Particle Swarm Optimization Algorithm (MOPSO)
Ali Khazaei Babak Haji Karimi Mohammad Mahdi Mozaffari -
Open Access Article
54 - Herbicide on Weed Composition, Diversity and Density in Silage Corn (cv. Sc 704)
M. Zafarian R. Sadrabadi Haghigi L. AlimoradiIn order to study the effect of plant density, planting pattern and herbicide dosage of nicosulfuron, a field experiment was arranged in a factorial split plot treatments based on RCBD with three replications in Chenaran, Khorasan Razavi, in 2010. The experimental treat MoreIn order to study the effect of plant density, planting pattern and herbicide dosage of nicosulfuron, a field experiment was arranged in a factorial split plot treatments based on RCBD with three replications in Chenaran, Khorasan Razavi, in 2010. The experimental treatments consisted of a factorial plant density (100000, 120000 and 140000 plants ha-1) in the planting pattern (single and double row) as main plot and herbicide dosage of nicousulforon in four levels (0, 1, 1/5 and 2, l.ha-1) as sub-plot. Samplings were made at in five stages (37days after the emergence of corn and it was repeated once per 20 days). The results indicated reducing the weed density and dry matter of weeds in the first stage after the herbicide treatment. Moreover, it was observed a significant interaction effect between plant density with planting pattern and between planting pattern with herbicides dosages during growth season on reducing weed density and dry matter. Also results indicated that in between of this experiment's treatments, nicosulfuron herbicide reduced weed density at the beginning of growth season and double row planting pattern suppressed weed density during growing season, and resulted in lowest Jacard similarity index (Sj) of weed species. Results also indicated that with increasing of plant density and herbicide dosage especially in composition of double row planting pattern, according to Shannon- Wiener index, sensitive population such as common purslane (Portulaca oleracea L.), buckhorn plantain (Plantago lanceolata L.), prostrate knotweed (Polygonum aviculareL.), black nightshade (Solanum nigrum L.) and Johnson grass (Sorghum halepens L.) was reduced in during growing season. Simpson dominance index, showed that some low populated weeds such as redroot pigweed (Amaranthus retroflexus L.), common lambsquarters (Chenopodium album L.), field bindweed (Convolvulus arvensis L.) and Canada thistle (Circum arvensis L.) persisted their growth up to the end of growing season. Manuscript profile -
Open Access Article
55 - Effect of feeding by yeast (Saccharomyces cerevisiae) as a probiotic, in contrast with salinity stress and on intestinal histology in rainbow trout (Oncorhynchus mykiss) fry
M. Pooramini A. Kamali A. Hajimoradloo R. Ghorbani M. Alizadeh Improvement of growth and resistance against the environmental stress is one of the main functions of probiotics. In this study, the strain of Saccharomyces cerevisiae var. elipsoidous was tested as a pr More Improvement of growth and resistance against the environmental stress is one of the main functions of probiotics. In this study, the strain of Saccharomyces cerevisiae var. elipsoidous was tested as a probiotic in the diet of rainbow trout (Oncorhynchus mykiss) fry (163±26.27mg) during 25 days after yolk absorption. The yeast was added to the diet plates in three levels (1, 5, 10% w/w) and with three triplications. Besides, a treatment with cod oil (without yeast) was used and the results were compared with that of control group. The yeast effect on rainbow trout fry mortality was not significant along the rearing period. Histological finding showed no difference in the treatments too. Challenging with different levels of salinity after 24 hours showed that treatments contained yeast as a probiotic had 100% survival (p>0.05) and showed significant differences with cod oil treatment (without yeast) and control (p<0.05). Manuscript profile -
Open Access Article
56 - Synthesis of Nanostructured MnNiAPSO-34 Catalyst: Catalytic Properties and Performance
Parisa Sadeghpour Mohammad Haghighi -
Open Access Article
57 - Modeling the resilience of the city against natural hazards with emphasis on floods (Case study: Ghaemshahr city)
Hamzeh Behrouzi mohammad reza zandmoghadam saeid kamyabiWith the development of urbanization, cities have become the focus of attention and the demand for natural resources and attention to their global environmental impact has increased.Urban planning and urban planning activities have increased the pressure on nature and w MoreWith the development of urbanization, cities have become the focus of attention and the demand for natural resources and attention to their global environmental impact has increased.Urban planning and urban planning activities have increased the pressure on nature and weakened its resilience, which has often had devastating consequences for cities and their inhabitants.Therefore, the purpose of this study is to model the degree of resilience of the city against natural hazards with emphasis.The method used in this study is to use GIS software to determine the most resilient points and to use the methods of genetic algorithm(GA)and particle swarm intelligence(PSO)and their programming.It is in MATLAB environment, to use it to determine the most important components of urban resilience and effective solutions to strengthen resilience.Against the flood was determined and then the final hazard map was prepared by combining all the mentioned components. In the second stage, to determine the most important components of resilience in the city, this time 32 indicators of resilience components based on 4 criteria(physical-spatial, Economic,social, institutional) and was analyzed using the method of genetic algorithm, which finally3 points of the city, respectively(Stadium Sh Hid Watani, Tlar Park, Siraj Park)were selected and prioritized as the most resilient areas. Then, in order to confirm and compare the research findings by genetic algorithm(GA)PSO method was used.In the final stage It is suggested that increasing the resilience of Ghaemshahr city in the first stage requires strengthening and modifying the structures of the natural environment and then maintaining a safe environment. Manuscript profile -
Open Access Article
58 - Optimization equation sediment rating curves in sediment discharge rate using particle swarm algorithm (PSO) and annealing (SA) (Case Study Bijar station)
alireza Vafaeinejad zahra chatsimab samira bloori farshad mirdar harijaniErosion and sediment transport in rivers is one of the most important and complex issue. This special effects on water quality indices, floor and sides of the river action and also damages the development projects inserted to better estimate the suspended sediment ratin MoreErosion and sediment transport in rivers is one of the most important and complex issue. This special effects on water quality indices, floor and sides of the river action and also damages the development projects inserted to better estimate the suspended sediment rating curve equation is based on the equation coefficients be optimized. One of the sediment rating curve coefficients optimization methods, the use of met heuristic respectively. This study optimization algorithm and particle swarm optimization equipment for sediment rating curve coefficients for the stations and Bijar The results of these models with sediment rating curves respectively. To calculate sediment discharge, required data such as water discharge and sediment concentration measured at study stations is collected Algorithm optimization models particles and refrigeration were coded in MATLAB software. After the models were trained with 70 percent of the data, 15 percent of the data was tested in Bijar station. Standard models to evaluate the coefficient of determination, Nash coefficient and root mean square error, respectively. Minimum amount of root mean square error and then annealing the lie to the amount of 19.7 tons per day. Manuscript profile -
Open Access Article
59 - شناسایی و تعیین ساختمان ترکیب ضد سرطانی سورولین درگیاه دارویی Psoralea corylifolia
بهروز محمدپرست موسی رسولی رضا داوری علیرضا روستایی -
Open Access Article
60 - A Heuristic Approach for Optimization of Gearbox Dimension
Mehrdad Hosseiniasl Javad Jafari Fesharaki -
Open Access Article
61 - Reducing the impact of SYN flood attacks by improving the accuracy of the PSO algorithm by adaptive effective filters
Mohammad Momeny Sorayya Gharravi Fateme HouraliTCP connection management is susceptible to a classic attack called SYN-flooding. In this attack, the source sends a large number of SYN segments to the victim system, without completing the third step of the three-step handshaking algorithm. This lead to consuming the MoreTCP connection management is susceptible to a classic attack called SYN-flooding. In this attack, the source sends a large number of SYN segments to the victim system, without completing the third step of the three-step handshaking algorithm. This lead to consuming the resources allocated to communicate with under attack system and bandwidth of the network quickly and, as a result, system cannot continue to work and engage in unnecessary requests. This paper models the attacked system using quadratic theory and maps the problem of defense against SYN-flooding attacks into an optimization problem. Then, using an effective adaptive filter combination with the PSO algorithm, it presents its proposed method and solves this problem. The simulation results show that the proposed defense mechanism has a significant performance in terms of the amount of blocked requests, the likelihood of success in communication, the likelihood of success of the attacker, and the optimal use of the dedicated buffer. Manuscript profile -
Open Access Article
62 - Frequency Control in Autanamous Microgrid in the Presence of DFIG based Wind Turbine
Ghazanfar Shahgholian Khosro Khani Majid moazzamiDespite their ever-increasing power injection into power grid, wind turbines play no role in frequency control. On the other hand, power network frequency is mainly adjusted by conventional power plants. DFIG-based wind turbines not only are able to produce power in var MoreDespite their ever-increasing power injection into power grid, wind turbines play no role in frequency control. On the other hand, power network frequency is mainly adjusted by conventional power plants. DFIG-based wind turbines not only are able to produce power in various mechanical speeds, but they can also reduce speed instantaneously which, in turn, leads to mechanical energy release. Thus, they can aid conventional units in system frequency control. In this paper, the effect of wind energy conversion systems, especially variable speed DFIG-based wind turbines, in controlling and tuning of frequency is investigated when different penetration coefficients are considered in a isolated microgrid comprising of conventional thermal and non-thermal generating unit. To do this, optimal tuning of DFIG's speed controller is performed in different penetration levels using particle swarm optimization (PSO) technique. In addition, optimum penetration of wind energy conversion system is studied considering frequency change parameters in a microgrid Manuscript profile -
Open Access Article
63 - Intelligent Control of UPFC for Enhancing Transient Stability on Multi-Machine Power Systems
Hassan Barati Reza Saki Seyed Saeeidolah MortazaviOne of the benefit of FACTS devices is increase of stability in power systems with control active and reactive power at during the fault in power system. Although, the power system stabilizers (PSSs) have been one of the most common controls used to damp out oscillation MoreOne of the benefit of FACTS devices is increase of stability in power systems with control active and reactive power at during the fault in power system. Although, the power system stabilizers (PSSs) have been one of the most common controls used to damp out oscillations, this device may not produce enough damping especially to inter-area mode and therefore, there is an increasing interest in using FACTS devices to aid in damping of these oscillations. In This paper, UPFC is used for damping oscillations and to enhance the transient stability performance of power systems. The controller parameters are designed using an efficient version of the Takagi-Sugeno fuzzy control scheme. The function based Takagi-Sugeno-Kang (TSK) fuzzy controller uses. For optimization parameters of fuzzy PI controller, the GA, PSO and HGAPSO algorithms are used. The computer simulation results, the effect of UPFC with conventional PI controller, fuzzy PI controller and intelligent controllers (GA, PSO and HGAPSO) for damping the local-mode and inter-area mode of under large and small disturbances in the four-machine two-area power system evaluated and compared. Manuscript profile -
Open Access Article
64 - Reduction of Sub-synchronous Resonances with D-FACTS Devices using intelligent Control ,
Zahra Amini Abbas KargarWhen a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce the MoreWhen a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce these SSR. To achieve this desired goal, the fuzzy controller, Particle Swarm Optimization (PSO) and artificial neural network is used to control of the DSSC. Particle swarm optimization is designed Based on the Conventional Damping Controller (CDC) and fuzzy logic is designed based on damping controller (FLBDC) and damping control based on artificial neural network trained using the fast pace of changes has been designed. Stability of the system is analysed by simulations in the time domain with performance index (PI). All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system.All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system. Manuscript profile -
Open Access Article
65 - Design and Simulation of a Wilkinson Power Divider with High Isolation for Tri-Band Operation Using PSO Algorithm
Farzad Khajeh-khalili Mohammad Amin HonarvarIn this article, a microstrip tri-band Wilkinson power divider, using the equivalent three section transmission line instead of common quarter-wavelength transmission line with help of PSO algorithm, design and simulated. Optimized choices for electrical lengths of equi MoreIn this article, a microstrip tri-band Wilkinson power divider, using the equivalent three section transmission line instead of common quarter-wavelength transmission line with help of PSO algorithm, design and simulated. Optimized choices for electrical lengths of equivalent three section transmission line, characteristic impedances of lines and finally design of three resistors for high isolation between output ports will be obtained. The results of the researches in this article show that the proposed Wilkinson power divider, besides high isolation between output ports, will be a tri-band Wilkinson power divider to be used in communication wireless systems such as GSM 850 , GSM 900 , GPS, GSM1800 ، GSM 1900, UMTS, WLAN and WiMAX. Next, the designed Wilkinson power divider is going to be simulated by CST-MW 2013 software. The result of simulation show that the proposed structure, analysis and design method are suitable. Manuscript profile -
Open Access Article
66 - ACO Algorithm Implementation in Radial Distributed Network Planning
Reza Roshanfekr Mojtaba Dostfateme Hadi Sadoghi YazdiThis paper presents a new approach for radial distributed network planning with using ACO algorithm. Ant colony optimization algorithm (ACO) is one of the best methods for optimization in difficult discrete problems. The new algorithm determines the optimal configuratio MoreThis paper presents a new approach for radial distributed network planning with using ACO algorithm. Ant colony optimization algorithm (ACO) is one of the best methods for optimization in difficult discrete problems. The new algorithm determines the optimal configuration of network and voltage level of each section of the feeders and calculates the optimum rating of the transformers and the size of each section of the feeders. This algorithm applied to a real 23-feeder radial test network of Gilan Regional Electricity Company inIran. The results validate the superiority of new algorithm in comparison with particle swarm optimization (PSO) and supplying area algorithm. The important characteristics of this algorithm in this paper are its high speed in solving problems for instance 240 times of supplying area algorithm time and 18 times of PSO algorithm time and 10% decreasing of final cost because of considering the transformers rating as an another searching space variable. Manuscript profile -
Open Access Article
67 - Estimation of Behavior Coefficient of steel eccentrically braced frames (EBFs) under Near-fault Pulse-type Earthquakes using Particle Swarm algorithm
Seyed Abdonnabi Razavi Navid Siahpolo Mehdi Mahdavi AdeliElastic analysis of structures creates basic shearing forces and stresses that are significantly larger than the actual responses of the structures. By entering the inelastic domain, the structure can absorb and resist a large amount of earthquake energy. On the other h MoreElastic analysis of structures creates basic shearing forces and stresses that are significantly larger than the actual responses of the structures. By entering the inelastic domain, the structure can absorb and resist a large amount of earthquake energy. On the other hand, nonlinear analysis of structures requires time-consuming and voluminous computational operations, so in most of the codes, a simple and appropriate method called equivalent static method is presented to achieve a reasonable answer to the nonlinear behavior of the structure (without performing a nonlinear analysis). Therefore, due to the importance of ductility in the absorption of seismic energy, the computational forces caused by the earthquake are reduced by introducing the coefficient of structural behavior, R. In this paper, an extensive database consisting of 12,960 eccentrically braced frame (EBF) structures with varying story numbers of 3, 6, 9, 12, 15 and 20, three types of column stiffness and three degrees of bracing slenderness was designed and analyzed under 20 near-faults pulse-like earthquakes. To generate the estimated relation R, 6769 data were interpreted using particle swarm algorithm. The results of a correlation of 0.86 in the test data presented the accuracy of the proposed relation. Manuscript profile -
Open Access Article
68 - مطالعات بالینی در مورد درمان پسوریازیس در سیستم پزشکی یونانی: یک بررسی سیستمیک
عدنان مستانBackground & Aim:Psoriasis is a chronic inflammatory skin disease. In Unani system of medicine, psoriasis is termed as Daus Sadaf or Taqashshur-i Jild which has been treated successfully since antiquity with various single and compound drugs. In recent years, variou MoreBackground & Aim:Psoriasis is a chronic inflammatory skin disease. In Unani system of medicine, psoriasis is termed as Daus Sadaf or Taqashshur-i Jild which has been treated successfully since antiquity with various single and compound drugs. In recent years, various clinical studies have been conducted to validate the claims of Unani medicine in the management of psoriasis. The aim of this study was to review the published scientific clinical studies, performed to evaluate the safety and efficacy of Unani drugs in the treatment of psoriasis. Experimental: Author searched four databases for psoriasis, using the terms “Daus Sadaf OR psoriasis”, “Taqashshur-i Jild OR psoriasis”, “Unani medicine and psoriasis”. Author also hand searched journals available in the library of Central Council for Research in Unani Medicine & Jamia Hamdard (New Delhi) and All India Institute of Medical Sciences (Raipur). All published clinical studies with Unani intervention were included in this review. Results: A total of 58 articles were reviewed; out of them 46 articles based on animal studies, epidemiological reports, studies of general concepts were discarded leading to inclusion of 12 articles. Different Unani drugs were used in the trials. Although each clinical study reported beneficial effect, but there were very few trials that were controlled and randomized. Recommended applications/industries: Various clinical studies evaluating the safety and efficacy of Unani drugs in the treatment of psoriasis have been carried out, but well-designed randomized controlled clinical trials (RCTs) still need to be conducted using standardized tools to scientifically validate the safety and efficacy of Unani drugs in the treatment of psoriasis. Manuscript profile -
Open Access Article
69 - طراحی بهینه ابعاد مقطع کانالهای روباز با استفاده از الگوریتم PSO
محسن منادی میرعلی محمدی Hamed Taghizadehدر این مقاله از الگوریتم بهینه سازی اجتماع ذرات جهت طراحی بهینه مقطع کانالهای روباز با مقاطع مثلثی، مستطیلی و ذوزنقه ای استفاده شده است. متغیرهای مقطع کانالها شامل، عمق، شیب جانبی و عرض کف می باشند. تابع هدف کمینه سازی هزینه ساخت کانال می باشد. برای کدنویسی و بهینه سازی Moreدر این مقاله از الگوریتم بهینه سازی اجتماع ذرات جهت طراحی بهینه مقطع کانالهای روباز با مقاطع مثلثی، مستطیلی و ذوزنقه ای استفاده شده است. متغیرهای مقطع کانالها شامل، عمق، شیب جانبی و عرض کف می باشند. تابع هدف کمینه سازی هزینه ساخت کانال می باشد. برای کدنویسی و بهینه سازی مسئله از نرم افزار MATLAB استفاده شده است. قید مسئله از طریق رابطه مانینگ برای جریان یکنواخت در کانالهای روباز اعمال شده است. تابع هزینه مسئله شامل هزینه عملیات خاکی، هزینه مازاد انجام حفاری و عملیات خاکی در اعماق زیر سطح زمین و هزینه اجرای روکش کانال می باشد. برای بیان مقادیر بهینه متغیرهای مقاطع از توابع ساده با عبارات هزینه واحد استفاده شده است. متغیرهای بهینه مقطع با در نظر گرفتن سطح مقطع حداقل یا محیط پیرامون حداقل به دست امده اند. کلیه برنامه های کامپیوتری در نرم افزار متلب نوشته شده است. نتایج به دست آمده نشان داد که الگوریتم PSO معرفی شده برای طراحی مقطع بهینه کانالهای روباز الگوریتمی قدرتمند می باشد. Manuscript profile -
Open Access Article
70 - بررسی مقایسه ای بهینه سازی ازدحام ذرات و الگوریتم ژنتیکی کاربردی برای بهینه سازی مسائل نویز غیر خطی
Hossein Towsyfyan امین کلاه دوز Hazem Esmaeel Shahed MohammadiOptimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Partic MoreOptimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem very efficient to approach in these problems and became very popular. The efficiency of these methods against many new metaheuristic optimization algorithms has been proved in previous works, however a robust comparison between GA and PSO to solve noisy nonlinear problems has not been reported yet. Therefore, in this paper GA and PSO are adapted to find optimal solutions of some noisy mathematical models. Based on the obtained results, GA shows a promising potential in terms of number of iteration to converge and solutions found so far for either for optimization of low or elevated levels of noise. Manuscript profile -
Open Access Article
71 - مدل کنترل موجودی بهینه محصولات منسوخ شدنی با در نظر گیری تاخیر مجاز در پرداخت و تقاضا وابسته به زمان، با استفاده از الگوریتم PSO
حسن زمانی باجگانی محمدرضا غلامیاناین مطالعه یک مدل کنترل موجودی را برای تعیین چرخه بهینه بازپرسازی اقلام منسوخ شدنی ارائه میکند، که در آن تقاضای مشتری به صورت یک تابع کاهشی از زمان در حالت منسوخ شدن ناگهانی در نظر گرفته شده است. علاوه بر این، برای تشویق خریدار به خرید بیشتر، فروشنده می تواند به خریدار Moreاین مطالعه یک مدل کنترل موجودی را برای تعیین چرخه بهینه بازپرسازی اقلام منسوخ شدنی ارائه میکند، که در آن تقاضای مشتری به صورت یک تابع کاهشی از زمان در حالت منسوخ شدن ناگهانی در نظر گرفته شده است. علاوه بر این، برای تشویق خریدار به خرید بیشتر، فروشنده می تواند به خریدار اجازه دهد هزینه را با تاخیر پرداخت کند. بر این اساس، مقاله حاضر بر بررسی یک مدل کنترل موجودی برای اقلام منسوخ شدنی با در نظر گرفتن سیاست اعتبار تجاری و تقاضای وابسته به زمان و حالت منسوخ شدن ناگهانی تمرکز دارد. با توجه به غیر خطی بودن مدل پیشنهادی، از تقریب سری تیلور برای حل آن استفاده شد. علاوه بر این، برای جلوگیری از تأثیر تقریب سری تیلور بر راهحل بهینه، از یک الگوریتم فراابتکاری بهینهسازی ازدحام ذرات کارآمد برای یافتن راهحل نزدیک به بهینه استفاده شد که نشاندهنده پاسخهای بهتر است. سپس مثالهای عددی در مورد مطالعاتی صنعت عمده فروشی تلفن همراه برای نشان دادن اعتبار مدل پیشنهادی در نظر گرفته و حل شد. در نهایت، یک تحلیل حساسیت در زمینه اثرات پارامترهای اصلی بر سود کل و زمان چرخه بازپرسازی انجام شد. نتایج عددی حاکی از آن است که گنجاندن ریسک منسوخ شدگی در مدل موجودی کالا برای اقلام منسوخ شدنی در افزایش سود و در عین حال کاهش هزینه های این اقلام تاثیر بسزایی دارد. Manuscript profile -
Open Access Article
72 - The style of Rabi'a narrations in Attar's works
Zahra Sadat Taheri GhalenoThe fundamental questions of the research are: a) The stylistic-narrative components are explained based on which stylistic mechanisms of the narrative? and b) How do these components appear in narrative discourse? The results of the research showed that by analyzing th MoreThe fundamental questions of the research are: a) The stylistic-narrative components are explained based on which stylistic mechanisms of the narrative? and b) How do these components appear in narrative discourse? The results of the research showed that by analyzing the processes, the level of participation of the characters in the story is determined. The point of view in some stories is the third person of the reflector, in some the third person of the narrator, and in the story of "Intention to make the Kaaba of Rabia" the third person is the reflector-narrator. Descriptive suspense and delay are visible, for example in expressing the hardships of the Hajj journey and Rabia's fear of worldly possessions and self-deception.sometimes a mystic who teaches others and sometimes a seeker who learns by himself. The relations between actors or participants of the discourse are formed as an unequal, formal, public and equal relationship Manuscript profile -
Open Access Article
73 - An Improved Particle Swarm Optimization Algorithm for Energy Management in Distribution Grid Considering Distributed Generators
Hossein Lotfi Reza Ghazi Mohammad Bagher Naghibi Sistani -
Open Access Article
74 - Presentation of A Comparative Method For Grid Reliability
Sedigheh Navaezadeh Iman zangeneh Mehnoosh vahebi -
Open Access Article
75 - Improving Short-Term Wind Power Prediction with Neural Network and ICA Algorithm and Input Feature Selection
Elham Imaie Abdolreza Sheikholeslami Roya Ahmadi Ahangar -
Open Access Article
76 - IPSO-SQP Algorithm for Solving Time Optimal Bang-Bang Control Problems and Its Application on Autonomous Underwater Vehicle
Tahereh Taleshian Abolfazl Ranjbar Noei Reza Ghaderi -
Open Access Article
77 - واکنش گل صدفی (Gypsophila paniculata) تحت تاثیر آمیزه ها و مقادیر مختلف کودهای غیرآلی
انریکه ای بیناس جی آر نوآ دی مارویا الن ال تنداسینگگل صدفی در گلکاری ارزش خاصی دارد و برای صادرات به چندین کشور مدنظر است. برای حفظ عملکرد گل صدفی در سطح مطلوب می­ بایست مدیریت تغذیه مطلوبی با کاربرد منابع تغذیه ­ای مطلوب در راستای گلدهی گیاهان زینتی گلدار، انجام شود. بنابراین این مطالعه برای دستیابی به رشد، عمل Moreگل صدفی در گلکاری ارزش خاصی دارد و برای صادرات به چندین کشور مدنظر است. برای حفظ عملکرد گل صدفی در سطح مطلوب می­ بایست مدیریت تغذیه مطلوبی با کاربرد منابع تغذیه ­ای مطلوب در راستای گلدهی گیاهان زینتی گلدار، انجام شود. بنابراین این مطالعه برای دستیابی به رشد، عملکرد و بازگشت سرمایه در گل صدفی با استفاده از آمیزه­ ها و مقادیر کودهای غیرآلی انجام شد. مساحت 100/8 مترمربع به 5 بلوک 4×4 متر برای اجرای آزمایش فاکتوریل بر پایه طرح RCBD آماده شد. تیمارها به قرار زیر بودند: فاکتور A (آمیزه ­های کودی) شامل: C0: بدون آمیزه کودی؛ C1: عصاره گیاهی تخمیر شده به نسبت 2 درصد حجمی؛ C2: عصاره تخمیر شده میوه به نسبت 2 درصد حجمی و C3: فسفات کلسیم به نسبت 5 درصد حجمی. فاکتور B (کود غیرآلی) شامل: F0: بدون کود؛ F1: 60-60-90 (N-P2O5-K2O) در هکتار؛ F2: 30-30-45 (N-P2O5-K2O) در هکتار؛ F3: 15-15-25 (N-P2O5-K2O) در هکتار. آمیزه و مقدار کودی 15-15-25 از نظر ارتفاع بوته 28 روز بعد از کاشت برتری معنی ­داری داشت. فسفات کلسیم به نسبت 5 % حجمی و 15-15-25 (T15) بهترین ترکیب تیماری برای افزایش ارتفاع گل صدفی 28 روز پس از کاشت بودند، البته همه کودها نسبت به شاهد از نظر تولید پاجوش، گل و گل­ های بازارپسند به مدت 3 ماه شبیه شاهد بودند. بنابراین می­ توان گفت از نظر بازگشت سرمایه، بیلان منفی بود. Manuscript profile -
Open Access Article
78 - Erosion and Sedimentation Area of the Ladiz Drainage Basin
Mohammadreza Noura سیدرضا موسوی حرمی -
Open Access Article
79 - Application of orthogonal array technique and particle swarm optimization approach in surface roughness modification when face milling AISI1045 steel parts
Masoud Azadi Moghaddam Farhad Kolahan -
Open Access Article
80 - A new approach for Robot selection in manufacturing using the ellipsoid algorithm
Iman Mohamad Sharaf -
Open Access Article
81 - Optimizing a multi-product closed-loop supply chain using NSGA-II, MOSA, and MOPSO meta-heuristic algorithms
Vahid Babaveisi Mohammad Mahdi Paydar Abdul Sattar Safaei -
Open Access Article
82 - A new approach to determine efficient DMUs in DEA models using inverse optimization
GH.R Amin -
Open Access Article
83 - A New Optimal Correlation for Behavior factor of EBFs under Near-fault Earthquakes using Artificial Intelligence Models
Seyed Abdonnabi Razavi Navid Siahpolo -
Open Access Article
84 - Optimal Design of an Axial Flux PMSM for Hybrid Vehicle Use
Hamed Farnaghizad hamid lesani -
Open Access Article
85 - Customer Clustering by Combining the Particle Swarm And K-Means Algorithms and Analyzing Their Behavior on Commercial Websites
MohammadReza Mehrazma Behrad Mahboobi -
Open Access Article
86 - Optimal in Smart Grids Considering Interruptible Loads and Photo-voltaic Sources Using Genetic Optimization
Ebadollah Amouzad Mahdiraji Nabiollah Ramezani -
Open Access Article
87 - Detection of Attacks and Anomalies in The Internet of Things System Using Neural Networks Based on Training with PSO and TLBO Algorithms
Mohammad Nazarpour Navid Nezafati Sajjad Shokuhyar -
Open Access Article
88 - Optimal Scheduling of a Renewable-based Micro Grid Considering Reliability Effect
Amir Ghaedi Reza Sedaghati Mehrdad MahmoudianIn the microgrids, it can be used from the renewable energy resources (RERs) such as photovolta-ic panels, wind turbines, wave energy converters and current type tidal turbines to reduce the greenhouse gas (GHG) emission arisen from fossil fuel-based generation units. H MoreIn the microgrids, it can be used from the renewable energy resources (RERs) such as photovolta-ic panels, wind turbines, wave energy converters and current type tidal turbines to reduce the greenhouse gas (GHG) emission arisen from fossil fuel-based generation units. However, the generated electrical power of these RERs are dependent on the wave height and wave period, solar radiation, the wind speed, and the tidal current speed. Due to the wide variation in the RERs, the generated electrical power of these generation units changes a lot and so, to supply the local load in the isolated microgrid, the conventional generation units and the energy storage sys-tems (ESSs) can be utilized. In this paper, optimal scheduling of a microgrid containing conven-tional generation units, ESS and RERs including wind turbines, photovoltaic panels, current type tidal turbines and wave energy converters is performed to determine the generated power of each generation unit provided that the cost function is minimum. In the cost function, the operation cost of the generation units based on fossil fuel and the penalty cost associated to the load cur-tailment as the reliability cost are considered and using of the particle swarm optimization (PSO) algorithm, the cost function is minimized. To study the capability and effectiveness of the pre-sented approach, the numerical results associated to the optimal scheduling of a microgrid con-taining battery, RERs, and conventional units are presented. Manuscript profile -
Open Access Article
89 - Detection of Citrus Psorosis Virus by dsRNA and molecular hybridization
Faezeh Falaki Farshad Rakhshandehroo Vahid AlaviBackground & Objectives: Citrus psorosis virus is the causal agent of one of the most important viral citrus diseases in the world and has been detected from the citrus orchards in the east of Mazandaran province, IRAN. Because of the simultenious presence of variou MoreBackground & Objectives: Citrus psorosis virus is the causal agent of one of the most important viral citrus diseases in the world and has been detected from the citrus orchards in the east of Mazandaran province, IRAN. Because of the simultenious presence of various strains of this virus in infected citrus samples, molecular detection methods like PCR are not able to detect this virus with high accuaracy. In this research, we introduce a method for the precise detection of Citrus psorosis virus. Materials & Methods: Detection and Identification of infected samples performed by triple antibody sandwich indirect-ELISA (TAS-ELISA) method and monoclonal antibody from symptomatic Thomson orange and Unshiu tangerine samples with suspicious symptoms to CPsV infection in Sari, Neka and Ghaemshahr districts of Mazandaran. Infection in samples tested by ELISA and confirmed by RT-PCR. Extraction of CPsV-dsRNA (Double-strand RNA) from infected samples was done by CF-11 column. Molecular hybridization performed by DIG labeled cDNA probe. Results: Exploring the electrophoretic pattern of dsRNA extracted from the CPsV infected citrus samples by using ELISA and RT-PCR methods, indicating the presence of CPsV genomes with the molecular weights of 920 bp and 2500 bp in infected samples. The presence of CPsV in the samples was also confirmed by using molecular hybridization and designed probe. Conclusion: The major advantages of the hybridization method relating to the dsRNA electrophoretic mobility is the simultenious detection of the all citrus psorosis virus strains within the infected citrus samples. This way can separate virus isolates. Manuscript profile -
Open Access Article
90 - Criticism of the translation of the book of stylistics
-- --This article examines and criticizes the translation of Paul Simpson's book on stylistics, which was translated into Persian by Nasrin Faqih Malek Marzban and published by Al-Zahra University. In this book, Simpson has looked at stylistics with a new approach. In this a MoreThis article examines and criticizes the translation of Paul Simpson's book on stylistics, which was translated into Persian by Nasrin Faqih Malek Marzban and published by Al-Zahra University. In this book, Simpson has looked at stylistics with a new approach. In this article, we examine the translation of the book from four perspectives: appearance and form, structure, content and language. In the external and formal criticism, we deal with the weight, volume and cut of the book, page layout, diagrams, font and letter size, binding and binding, paper and cover material, cover and back cover design, and in the structural criticism of the system special book classification; In the content criticism of the translation features and in the linguistic criticism, we examine the grammatical or editorial signs, the use of wrong verbs, prepositions and pronouns, double writing, recording of unusual forms of declaration. Content evaluation is more focused on checking the accuracy and correctness of translation and equivalent choices. The existence of editing and writing problems, weakness in equivalent options, double writing and in many cases lack of translation are the weak points of this book. The book of stylistics opens new intellectual horizons for Persian readers. Manuscript profile -
Open Access Article
91 - Measuring the Quality of Accounting Information in the Face of with Employer Loyalty with Approach PSO Algorithm Abstract
عباس زکی زاده سینا خردیار فاضل محمدی نوده ایوب احمدی موسی آبادEmployer loyalty stems from a positive attitude towards a service that is directly related to the working relationship between the auditor and the client. This may be due to a better working relationship with the auditor of your choice or an opportunity to influence the MoreEmployer loyalty stems from a positive attitude towards a service that is directly related to the working relationship between the auditor and the client. This may be due to a better working relationship with the auditor of your choice or an opportunity to influence the auditor. Managers may seek auditing to approve the method because they do not prepare financial statements in accordance with common accounting principles. In this case, the level of quality of accounting information largely depends on the behavior of managers. The present study tries to optimize the quality of accounting information in the face of Employer loyalty by using an algorithm (PSO) with a sample of 90 companies listed on the Tehran Stock Exchange. The results showed that in each group of loyalty and unfaithfulness of the client, the number of attributes with the desired and undesirable level is equal and thus in Tehran Stock Exchange, managers, whether they are loyal to their previous auditor or not, the highest level of importance and desirability. They are reliable and have the lowest level of relevance. Manuscript profile -
Open Access Article
92 - Risk Analysis and Economic Load Dispatch Evaluation of Network with High Wind Power Penetration
Mahmood Hosseini Aliabadi Shahram Javadi Ehsan Tafehi Amin Bakhtiari -
Open Access Article
93 - UPFC Siting and Sizing in Power Network Using Two Different Evolutionary Algorithm
Amin Bakhtiari Shahram Javadi -
Open Access Article
94 - Simultaneous Placement of Capacitor and DG in Distribution Networks Using Particle Swarm Optimization Algorithm
Hossein Lotfi Mohammad Borhan Elmi Sina Saghravanian -
Open Access Article
95 - Gas Flow Metering Using the PSO Optimized Interval Type- 2 Fuzzy Neural Network
Mirhossein Hamedi Kamel Sabahi -
Open Access Article
96 - A new hybrid algorithm for multi-objective distribution feeder reconfiguration considering reliability
hossein lotfi -
Open Access Article
97 - Decentralized Robust Adaptive Control Based On Dynamic Programming for SVC Complement Controller Design
Ameneh Barani Majid Moazzami Mohammad Amin Honarvar S.Mohammadali Zanjani -
Open Access Article
98 - Distributed Energy Technologies Planning and Sizing in a Sample Virtual Power Plant Using Speedy Particle Swarm Optimization Algorithm
Mohammad Hosein Salehi Mohammadreza Moradian Majid Moazzami Ghazanfar ShahgholianIn modern power networks, once the restructuring of production units is done, traditional power plants will operate as virtual power plants (VPPs), which are actually a collection of distributed generation (DG) units and energy storage systems (ESSs) that form an integr MoreIn modern power networks, once the restructuring of production units is done, traditional power plants will operate as virtual power plants (VPPs), which are actually a collection of distributed generation (DG) units and energy storage systems (ESSs) that form an integrated power plant. Commercial VPPs can replace the current traditional power plants in the near future, because they have many advantages such as organizing distributed energy resources (DER) and hydrogen and electricity storage systems. Considering that energy management and planning of DER resources in VPP have challenging issues, therefore, thoughts such as changes in instantaneous power generation, consumption, energy price and availability of system components should be taken into consideration, so that simulations and future research with problems will not accompanied. Since microgrids have the ability to monitor and control real-time power in power grids, determining the number of DER resources in VPPs is deliberated essential in order to reduce planning costs. For this purpose, in this paper, the optimal sizing of DERs is done using speed particle swarm optimization (SPSO) algorithm. In proposed optimization algorithm, the coefficients c1 and c2 are not constant and is changing according to the number of iterations, which makes the search in the problem solving space more efficient and its convergence is improved by 26% compared to the traditional PSO algorithm. Consequently, the number and sizing of solar photovoltaic (PV), wind turbine (WT), fuel cell (FC), electrolyzer, hydrogen storage and battery resources in a 20-year time horizon will be achieved with the lowest cost. Manuscript profile -
Open Access Article
99 - Diagnosing skin disease using deep features based on artificial intelligence
Hassan Masoumi Fatemeh Mosalanejad Mehdi Taghizadeh Mohammad GhanbarianMisdiagnosis of skin diseases is a common occurrence. Psoriasis is a skin disease that has many similarities with other diseases, and its incorrect diagnosis causes many problems in the treatment process. Misdiagnosis of this disease causes doctors to face problems duri MoreMisdiagnosis of skin diseases is a common occurrence. Psoriasis is a skin disease that has many similarities with other diseases, and its incorrect diagnosis causes many problems in the treatment process. Misdiagnosis of this disease causes doctors to face problems during treatment. The lack of images of the disease and the database of skin diseases reduces the diagnosis and the coordination of diagnostic methods, therefore, diagnosis using different images is very useful. Today, diagnosis methods using deep features in medical images have received much attention. Artificial intelligence is one of the automatic methods of diagnosis. These methods can detect new data entering the system and keep it in memory. Therefore, in this article, two different groups of data have been identified using deep features based on artificial intelligence. In this method, the data of the first group in the form of training and testing and the data of the second group are studied gradually. If they are correctly identified, the next 0.1 chunks of data enter the network without testing. If they are wrongly recognized, they enter the training section and this reduces the training process. In this work, by training 20% of the data, i.e. the first 10% and the fourth 10%, there was no need for training because the accuracy was not less than98%. In this article, deep features of images were first extracted using convolutional neural network, and then psoriasis and eczema were diagnosed with average accuracy of98.3%and sensitivity of 97.9% in skin images using artificial intelligence. Manuscript profile -
Open Access Article
100 - Synchronizing of Smart Homes in Microgrids using Whale Optimization Algorithm
Farhad Nourozi Navid Ghardash khaniThe household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model MoreThe household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model based on the time of usage pricing planning with renewable energy systems is proposed to use the energy more efficiently. The new meta-heuristic whale optimization algorithm (WOA) and the common meta-heuristic of particle swarm optimization (PSO) are used to achieve that. To improve the performance, a mapping chaos theory (CWOA) is proposed. Also, an independent solar energy source is used as a support of the microgrid to achieve a better performance. It is concluded that the energy saving achieved by the proposed algorithm is able to decrease the electricity bill by about 40-50% rather than the WOA and PSO methods. The proposed system is simulated in MATLAB environment. Manuscript profile -
Open Access Article
101 - Novel Approach for Optimal Sizing of Stand-alone Hybrid Photovoltaic/Wind Systems
Zakieh Tolooi Hadi Zayandehroodi Alimorad Khajehzadeh -
Open Access Article
102 - Intelligence Method for PID Controller Design in AVR System
Seyyed Amir Hashemi Zadeh1 Mostafa Zamani Mohi Abadi -
Open Access Article
103 - Frequency Control of Isolated Hybrid Power Network Using Genetic Algorithm and Particle Swarm Optimization
Mahdie Hasanpour Qadikolai Sina mohammadi -
Open Access Article
104 - Develop a model for evaluating the financial performance of universities using comparing methods of ANFIS، ANFIS-GA و ANFIS-PSO
reza abdollahzadeh farzin modarres khiyabani suleyman iranzadehOver the past few decades, the number of universities has grown exponentially, but many of them are financially constrained. In the meantime, financial performance appraisal can support university administrators in making appropriate decisions by recognizing financial s MoreOver the past few decades, the number of universities has grown exponentially, but many of them are financially constrained. In the meantime, financial performance appraisal can support university administrators in making appropriate decisions by recognizing financial status. Accordingly, the purpose of this study was to codify a model for evaluating the financial performance of the university. This research has been applied in terms of the purpose, applied-developmental research and descriptive research in terms of the method which has been done intermittently. The statistical population of this research was all units of Islamic Azad University throughout the country. The statistical sample size was selected based on Morgan's table of 214 units of IAU. To collect data from the questionnaire, the Delphi method and the existing university documents were used. In order to analyze the research data, from Delphi methods and adaptive neuro-fuzzy inference system, adaptive neuro-fuzzy inference system combined with genetic algorithm and adaptive neuro-fuzzy inference system combined with a particle swarm optimization have been used. The research results show that among the designed systems, adaptive neuro-fuzzy inference system combined with a particle swarm optimization with the least error is able to evaluate and predict the financial performance of the university. Manuscript profile -
Open Access Article
105 - Provide a two-stage mathematical model for evaluating and selecting a project portfolio
shahab Forootan chehr saeid aghasi sayyed mohammad reza davoodiToday, the need to choose a project portfolio as the main factor in the success of investment profitability is obvious. Evaluating a portfolio of all its dimensions is an urgent and vital need in investment organizations. Therefore, in this research, a two-stage multi-o MoreToday, the need to choose a project portfolio as the main factor in the success of investment profitability is obvious. Evaluating a portfolio of all its dimensions is an urgent and vital need in investment organizations. Therefore, in this research, a two-stage multi-objective mathematical model was evaluated and the project portfolio was selected. Due to the uncertainties in the evaluation of the project portfolio, the theory of firm uncertainty based on Bertsimas and wire were developed on a mathematical model and then due to the NP-HARD being the problem under study, to validate the model in larger dimensions using two algorithms. The meta-initiative of MOPSO and NSGAII analyzed the model findings. Based on the analysis of the results obtained from the two algorithms, it was shown that the computational time of MOPSO algorithm is better than NSGAII algorithm and the means of the first and second objective function of MOPSO also showed the superiority of this algorithm compared to NSGAII. Other analytical parameters such as NPF, MSI and SM showed that the NSGAII algorithm performed better than the MOPSO algorithm. Finally, using TOPSIS method, it was shown that NSGAII algorithm with a weight of 0.6945 was more favorable than MOPSO. Manuscript profile -
Open Access Article
106 - Developing a Fuzzy Multibjective Model for Multiperiod Portfolio Optimazation Considering Average Value at Risk
Amir Shiri Ghehi Hosein Didehkhani kaveh Khalili Damghani parviz SaeediThe purpose of the present research is to provide a multi-period portfolio optimization model in a fuzzy credibility environment, aimed for end-of-period wealth maximization and risk minimization. The investor’s risk was measured using the Average Value at Risk (A MoreThe purpose of the present research is to provide a multi-period portfolio optimization model in a fuzzy credibility environment, aimed for end-of-period wealth maximization and risk minimization. The investor’s risk was measured using the Average Value at Risk (AVaR) as a coherent risk measure. The model is designed in such a way that, in addition to considering transaction costs, the investor will have the opportunity to allocate part of his wealth to a risk-free asset. In designing the model, in addition to the cardinality constraints, constraints such as the minimum “proportion entropy” (as the portfolio of diversification degree) and the expected returns of the portfolio in each period are considered. The results of the model running by MOPSO algorithm indicated that the model objectives in the optimum portfolios were better suited than those when the model was run with random weights. The results also indicated that an increase in the portfolio diversification degree reduced the amount of the final wealth. Manuscript profile -
Open Access Article
107 - Improving the Performance of Adaptive Neural Fuzzy Inference System (ANFIS) Using a New Meta-Heuristic Algorithm
Mehdi Khadem Abbas Toloie Eshlaghy Kiamars Fathi hafshejani -
Open Access Article
108 - Distribution and diversity of weed species in Sugar beet ( Beta vulgaris L) Fields of Kermanshah Province
عبدالرضا احمدی مجید رستمی فریبا خاموشی Mozhgan veisiIn order to study the diversity of weed flora in sugar beet (Beta vulgaris) fields of Kermanshah province, 92 fields in five cities of this province investigated during the spring and summer of 2014. The first stage of sampling was in May and the second stage was in Sep MoreIn order to study the diversity of weed flora in sugar beet (Beta vulgaris) fields of Kermanshah province, 92 fields in five cities of this province investigated during the spring and summer of 2014. The first stage of sampling was in May and the second stage was in September. After sampling and identification of weeds, the diversity and evenness indices were calculated for each field. Acording to results in different cities of this province, five species of weeds have the highest value of dominance index. The most important weed in this experiment were warm season species such as Chenopodium album, Amaranthus spp, Setaria viridis, Xanthium strumarium and Convolvlus arvensis. The calculated value of domoinance index for above mentioned weeds were 197.7, 187.3, 170.3, 150.6 and 105.3, respectively and calculated dominance index for the rest of observed weeds was less than 100. Considering Shannon-Wiener diversity indices at the first stage of sampling the studied cities classified in two groups whereas in second stage the cities placed in three groups. In the first stage of sampling the highest value of Simpson diversity indice (0.78) calculated for Sahneh and the lowest value (0.67) observed in Eslamabad-e-Gharb, but in the second stage the highest value (0.93) of this indices belonged to Eslamabad-e-Gharb and the lowest value (0.83) calculated for Harsin. The obtained results after t-test showed that in both of stages there was the significant difference for species diversity of weeds among the studied cities Manuscript profile -
Open Access Article
109 - Prediction of the GC-MS Retention Indices for a Diverse Set of Terpenes as Constituent Components of Camu-camu (Myrciaria dubia (HBK) Mc Vaugh) Volatile Oil, Using Particle Swarm Optimization-Multiple Linear Regression (PSO-MLR)
Majid Mohammadhosseini -
Open Access Article
110 - A new Stochastic Hybrid Technique for DER Problem
Mohsen Mohammadi Nasser yousefi -
Open Access Article
111 - The role of anger, type D personality, and alexithymia in the pathogenesis and process of psoriasis: a narrative review
Nazaninzeinab Jaberzadeh Mohammad Hossein Bayazi Vahid mashayekhi goyonlo Majid Anushiravani Monavvar Afzal-AghaeeClinical route of many dermatologic diseases is due to the mutual and complex interactions between biological, psychological, and social causes that can affect them as predisposing, accelerating, or enduring factors. Psoriasis is one of the most common autoimmune skin d MoreClinical route of many dermatologic diseases is due to the mutual and complex interactions between biological, psychological, and social causes that can affect them as predisposing, accelerating, or enduring factors. Psoriasis is one of the most common autoimmune skin diseases with psychosomatic origins and consequences, which is accompanied by vulnerability to stress, emotional disorders, and difficulty in expressing negative feelings. Many psoriasis sufferers have problems in how much they experience anger and how to express and control anger. Two components of D personality including, negative emotionality, social inhibition, and emotional ataxia seem to be important in psoriasis. Due to the neglect of clinical researches and organized attention to the investigation and improvement of the psychological factors of this disease, a more comprehensive explanation of the occurrence of this disease with a more targeted interaction and integration of medical and psychological perspectives is nessesary. Theorethical and practical conjunction between dermatologists, psychologists and psychiatrics in the interdisciplinary field of psychodermatology can lead to maintain higher health services for psoriatic patients as well as achieving scientific outcomes. Manuscript profile -
Open Access Article
112 - Emotional Regulation Cognitive Strategies in Psoriasis Patients and Non-Psoriasis Individuals
kobra salami asl seyed ali maraashi najmeh hamid mahnaz mehrabizadeh honarmandEmotion regulation can be assumed as a process which by the individual affects the emotion that is currently being experienced and determines how the person experiences and expresses the emotions. Dysfunctional patterns of emotion regulation in skin patients could inten MoreEmotion regulation can be assumed as a process which by the individual affects the emotion that is currently being experienced and determines how the person experiences and expresses the emotions. Dysfunctional patterns of emotion regulation in skin patients could intensify and maintain their condition. The aim of this research was to compare the cognitive emotion regulation strategies (adaptive and maladaptive) in psoriasis patients and non-psoriasis individuals in Ahvaz city. To gain this purpose, by using convenience sampling method, 100 individuals (50 psoriasis patients and 50 non-psoriasis) were selected as the sample to conduct a casual- comparative research and emotion regulation strategies (adaptive and maladaptive) were assessed. The results of multivariate analysis of variance (MANOVA) indicated that there was a significant difference between psoriasis patient and non-psoriasis individuals in emotional regulation cognitive strategies (adaptive and maladaptive) and the psoriasis patients use less adaptive and more non-adaptive emotion regulation strategies in comparison to non-psoriasis individuals. It is possible that the emotional cognitive regulation problems could be considered in increasing psoriasis, and patients with psoriasis, like other skin diseases use more non-adaptive emotional regulation cognitive strategies. Manuscript profile