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Open Access Article
1 - Codification of Dendrograms Portfolio Based on Euclidean Distance Measure (A Comparison Between Different Methods of Hierarchical Clustering)
Hojatollah Sadeghi Sharifeh Forooghi DehnaviToday analysis of financial markets as a part of the capital market and its impact on development and portfolio design and investment strategy of each country has become an important and most critical issue. The aim of this study was to investigate how the connection an MoreToday analysis of financial markets as a part of the capital market and its impact on development and portfolio design and investment strategy of each country has become an important and most critical issue. The aim of this study was to investigate how the connection and distribution of stocks related to 30 large companies index of Tehran Stock Exchange and the effects of relationship between clusters of related stocks to every industry. In this study, using a variety of methods of hierarchical clustering, structure, classification and hierarchy of the stocks in the year 1393 reviewed. The results showed that With a focus on each of the hierarchical clustering methods and their implementation on the target stocks, were identified different clusters of stocks due to the similarity and economic relationships and also the key clusters and the vital stocks in the desired set were obtained. The results indicate that the choice best hierarchical clustering algorithm for clustering stocks depends on the desired purpose of cluster analysis and consideration of the advantages and disadvantages of each method. Manuscript profile -
Open Access Article
2 - The effect of distance measurement methods on the classification of ecological groups in Hyrcanian forests
Naghmeh Pakgohar Javad Eshaghi Rad Gholamhossein Gholami Ahmad Alijanpour David W. RobertsNowadays, the application of clustering methods is widely increased, although choosing the right method due to the existence of different method and effective factors is difficult. The present study aimed to compare the results of widely used clustering algorithms and t MoreNowadays, the application of clustering methods is widely increased, although choosing the right method due to the existence of different method and effective factors is difficult. The present study aimed to compare the results of widely used clustering algorithms and to determine the most effective methods according to the different evaluators and evaluate the effective distance measurement method for clustering algorithms. The data of Hyrcanian beech forests were examined in an area protected by the department of natural resources of Nowshahr. Random-systematic sampling method with regular grid of 100×200 m was used for determining the center of sample plots; 100-m2 (10×10 m) sample plots had been used to check the shrub species and 400-m2 (20×20 m) to check the herbaceous species. A total of 120 sample plots were measured. The abundance and coverage of tree, shrub and herbaceous species were estimated based on Braun-Blanquette scale. Three distance methods of measuring distance Bray Curtis, Hellinger and Manhattan were used and five clustering methods (Average method clustering methods, Ward method, flexible beta method with beta values of -0.1, -0.25, -0.4) with six evaluation indicators (silhouette evaluation criterion, PARATNA criterion, Indval criterion, ISAMIC criterion, MRPP criterion and Phi correlation coefficient) were examined. Different clustering algorithms were arranged from best to worst for each dataset. The comparison analysis revealed that Ward’s and flexible-beta with beta value of -0.1 had the best performance. The present findings illustrated that Hellinger distance measurement method is better in homogeneous data than other distance measurement methods. Manuscript profile -
Open Access Article
3 - Spatial and Temporal Analysis of Noise Pollution Based On GIS, Agglomerative Hierarchical Clustering and Principal Component Analysis (Case Study: Tehran)
Amir Esmael Forouhid Mohsen RostamiBackground & Objective: Noise is an adverse factor in the living environments of today’s communities. This type of pollution has drawn attention to itself in the three recent decades, being a major problem in larger cities and seen as one of the significant en MoreBackground & Objective: Noise is an adverse factor in the living environments of today’s communities. This type of pollution has drawn attention to itself in the three recent decades, being a major problem in larger cities and seen as one of the significant environmental problems, blood pressure leading to cardiovascular disorders.Material and Methodology: The paper studied Tehran, Iran. The study areas consisted of Tajrish Square, Tohid and Sattarkhan crossroads, Hakim Freeway and Hemmat Freeway of Tehran. The study areas were selected based on their traffic and urban importance. The survey measured sound levels, road slope, road width, traffic, and land use (residential, commercial, administrative, and green space). In the field method, noise pollution level was measured using a sound level meter. Due to the role of traffic parameters, slope and residential, commercial, office and green space usage parameters, the parameters were recorded for each map of harvest. The spatial and temporal dependencies were extracted using "Agglomerative hierarchical clustering" and "principal components analysis".Findings: The results indicate the critical significance of urban traffic in noise pollution, as by a large difference it had the highest contribution to noise level, followed by green space, administrative, and commercial land use; road width, and road slope.Discussion & Conclusions: It is recommended that for future roads or revamping the existing ones, more lanes be implemented to produce wider roads, prevent the construction of tall buildings on the sided of main roads, and maintaining a standard distance between buildings and main roads, freeways, and other motorways. Manuscript profile -
Open Access Article
4 - Application of 3D-QSAR on a Series of Potent P38-MAP Kinase Inhibitors
Reihaneh Safavi-Sohi Jahan B. Ghasemi -
Open Access Article
5 - Evaluation of soil salinity by analyzing Landsat-8 images and field Observations (Case study: Behesht-e- Gomshodeh, Fars province)
Mohamad Kazemi Fariborz Mohammadi Ali Reza NafarzadeganSoil salinity is considered as one of the potential environmental hazards. The purpose of this study was to find the best index and the most suitable relationship for estimating soil salinity and its mapping using remote sensing data. At the first step, random sampling MoreSoil salinity is considered as one of the potential environmental hazards. The purpose of this study was to find the best index and the most suitable relationship for estimating soil salinity and its mapping using remote sensing data. At the first step, random sampling was performed using fishnet method and surface soil electrical conductivity (EC) measurements. Then, the threshold levels (92%, 95%, and 98%) were applied to the output images of each indicator. The methodology included using the least squares fitting (LS-fit) technique and principal components analysis (PCA) for halite and gypsum minerals, determining the correlation between the output of indices and ground data, and performing clustering and factor analysis between EC and output images. In order to select the best model derived from Landsat-8 band combinations and the amount of salinity, collinearity test, Durbin-Watson test, and backward multivariate regression were employed. The Cohen‘s kappa coefficient was also applied to evaluate the multivariate regression formed by Landsat-8 bands. The performance of the indicators was evaluated based on four criteria of root mean square error (RMSE), mean bias error (MBE), mean absolute error (MAE) and R-squared (R2). The results of the factor analysis showed the smallest distance between the EC, salinity index (SI) and brightness index (BI). The SI with an amount of 0.89 had the highest Pearson correlation with EC. In the dendrogram diagram, SI index with EC was placed in a cluster, and the RMSE, MBE, MAE and R2 values of the SI index were estimated to be 0.16, 0.11, 0.12, and 0.76, respectively. Compared to the rest of the indicators and linear, multivariate regression (with Cohen‘s kappa coefficient of 60%,), the SI index has provided better outcomes. Manuscript profile -
Open Access Article
6 - The Effect of JCPOA on the Network Behavior Analysis of Tehran Stock Exchange Indexes
Salman Abbasian-Naghneh Reza Tehrani Mohammad Tamimi -
Open Access Article
7 - A Hybrid Geospatial Data Clustering Method for Hotspot Analysis
Mohammad Reza Keyvanpour Mostafa Javideh Mohammad Reza Ebrahimi -
Open Access Article
8 - Residential appliance clustering based on their inherent characteristics for optimal use based K-means and hierarchical clustering method
Shima Simsar Mahmood Alborzi Ali Rajabzadeh Ghatari Ali Yazdian Varjani -
Open Access Article
9 - Studying the effect of evapotranspiration on the temperature near the surface of the earth using the LCZ algorithm in Tehran and Alborz provinces.
Ali teymoori Saeed Jahanbakhsh Ali mohammad Khorshid DostEarth surface temperature changes can affect various environmental factors and elements, and by affecting bioclimatic comfort, energy consumption, plant and animal phenology, air pollutant concentration, soil and air moisture density, and other environmental factors can MoreEarth surface temperature changes can affect various environmental factors and elements, and by affecting bioclimatic comfort, energy consumption, plant and animal phenology, air pollutant concentration, soil and air moisture density, and other environmental factors can also be affected by these factors.In this research, in order to investigate the role of actual evaporation-transpiration on the temperature of the earth's surface at ten meters, the variables of carbon monoxide, water vapor density, nitrogen dioxide, sulfur dioxide, ozone, water vapor pressure and wind speed in twelve uses With the help of LCZ algorithm, determined for Tehran and Alborz provinces, have been studied and investigated.The studied area has a high potential for the occurrence of thermal islands due to special geographical conditions such as location, variety of man-made structures and special ecological conditions. In this research, according to the impact of the studied variables and the need to examine the relationships between them, hierarchical clustering in a combined manner, path analysis method and remote sensing techniques have been used. According to the obtained results, among the studied variables, actual evaporation-transpiration in none of the uses had a significant effect on increasing or decreasing the temperature of the ground surface at 10 meters. Water vapor pressure in class 14 (areas with grassy vegetation) shows the greatest effect in increasing the temperature of the earth's surface.Based on the obtained results, the type of use is highly dependent on the impact of the studied variables on the surface temperature of the earth. Manuscript profile -
Open Access Article
10 - Assessing Populations Diversity of Small Panel Oak (Quercus brantii) in Western Forests of Iran: a Major Effort in Reforestation Programs
Adele Rafezi Mohammad Reza Azimi Mehrshad Zeinalabedini Mohammad Reza ghaffari
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