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Research paper thumbnail of A hybrid novel framework for flood disaster risk control in developing countries based on smart prediction systems and prioritized scenarios

Journal of Environmental Management

A Decision Support System (DSS) is a highly efficient concept for managing complex objects in nat... more A Decision Support System (DSS) is a highly efficient concept for managing complex objects in nature or human-made phenomena. The main purpose of the present study is related to designing and implementation of real-time monitoring, prediction, and control system for flood disaster management as a DSS. Likewise, the problem of statement in the research is correlated to implementation of a system for different climates of Iran as a unique flood control system. For the first time, this study coupled hydrological data mining, Machine Learning (ML), and Multi-Criteria Decision Making (MCDM) as smart alarm and prevention systems. Likewise, it created the platform for conditional management of floods in Iran's different clusters of climates. According to the KMeans clustering system, which determines homogeneity of the hydrology of a specific region, Iran's rainfall is heterogeneous with 0.61 score, which is approved high efficiency of clustering in a vast country such as Iran with four seasons and different climates. In contrast, the relation of rainfall and flood disaster is evaluated by Nearest Neighbors Classification (NNC), Stochastic Gradient Descent (SGD), Gaussian Process Classifier (GPC), and Neural Network (NN) algorithms which have an acceptable correlation coefficient with a mean of 0.7. The machine learning outputs demonstrated that based on valid data existence problems in developing countries, just with verified precipitation records, the flood disaster can be estimated with high efficiency. In the following, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method as a Game Theory (GT) technique ranked the preventive flood damages strategies through three social (Se 1), environmental (Se 2), and economic (Se 3) crises scenarios. The solutions of flood disaster management are collected from literature review, and the opinion approves them of 9 senior experts who are retired from a high level of water resource management positions of Iran. The outcomes of the TOPSIS method proved that National announcement for public-institutional participation for rapid response and funding (G1-2), Establishment of delay structures to increase flood focus time to give the animals in the ecosystem the opportunity to escape to the upstream points and to preserve the habitat (G 2-8), and Granting free national financial resources by government agencies in order to rebuild sensitive infrastructure such as railways, hospitals, schools, etc. to the provincial treasury (G3-10) are selected as the best solution of flood management in Social, Environmental, and Economic crises, respectively. Finally, the collected data are categorized in Social, Environmental, and Economic aspects as three dimensions of Sustainable Development Goals (SDGs) and ranked based on the opinion of 32 experts in the five provinces of present case studies.

Research paper thumbnail of A 1% Measurement of the Distance Scale with Perpendicular Spatial Scanning

Research paper thumbnail of The Intellectual Capital's Components/Details Attributes and Firms Value

The aim of this paper is to examine the Intellectual Capitals gathered from Data's life cycle... more The aim of this paper is to examine the Intellectual Capitals gathered from Data's life cycle stages of Tehran Stock Exchange list. This is the testing result of a hypothesis utilizing "multiple regression method" with no incremental information content for intellectual capital components companies, but the company's market value relative varies during different stages of their life cycle. So The I.C has the maximum information to make the decision for adolescence stage and subsequently minimum growth data stage & decline stage related for making decision plan. The research result shows the Intellectual Capital (I.C) can create valid data in relate to the Gap between companies Market value and Book value of the different life cycle values stages.

Research paper thumbnail of The Study of the financial effects of divorce on Iran's Law

The Journal of social sciences and humanities, 2016

Cancellation of contract primarily causes the loss of all relations arising from it, but in the c... more Cancellation of contract primarily causes the loss of all relations arising from it, but in the case of married couples, the financial relations continue in cases even after the cancellation. Methodology: This article evaluates the financial impact of divorce in Iranian law with library method. Of the Law Concerning divorce reform enacted in 1992, it obliges the man who is seeking a divorce to pay financial rights of women included the wages, Nahla, and up to half of the assets, inheritance, alimony and mahr and dowry. Results: Nahla is establishing rights that were entered Iranian law by the law amending the provisions of the divorce. However, in accordance with Article (336) of the Civil Code, nothing is unpaid, but obligation of man to pay the works of women at home is subject to conditions in the year 1992. Conclusion: In the absence of financial condition during the marriage, the wage should be calculated based on the work that women do at home of the husband.

Research paper thumbnail of Optimal integration of Demand Response Programs and electric vehicles into the SCUC

Sustainable Energy, Grids and Networks, 2021

Abstract Security Constrained Unit Commitment (SCUC) is carried out by power system operators to ... more Abstract Security Constrained Unit Commitment (SCUC) is carried out by power system operators to determine the optimal participation of generating units to meet the load demand while satisfying units’ and systems’ constraints as well as the desired level of security. With technological advances in the realm of communications and development in the infrastructure, a proper environment for the active contribution of customers has been formed. This new structure has enabled the consumers to play a vital role in the market via Demand Response Programs (DRPs) and coordinated aggregated Plug-In Electric Vehicle (PEV) fleets. These new resources could be a merit for the power system provided that they are employed correctly and in coordination with the rest of the system. The SCUC is where DRPs and PEVs could be optimally addressed to exploit their full potential. This paper tackles the problem of SCUC in the presence of DRPs and aggregated PEV fleets. The objective is to lessen the operation cost provided that all constraints are satisfied. Different constraints including those related to the system, units, transmission system, DRPs, and PEVs as well as the security constraints are taken into consideration. The SCUC is modeled as a two-stage stochastic mixed-integer programming problem and an appropriate model of PEVs is derived to facilitate the integration of these resources into the grid while considering their charging and discharging characteristics as well as efficiency. Moreover, a suitable model of DRPs is introduced in this study based on the concept of price elasticity of demand. The proposed approach is practiced over the IEEE 24-bus Reliability Test System (RTS) to analyze the effect of the smart grid on SCUC. Obtained results demonstrate that with proper deployment of DRPs and PEVs the operation cost could be lessened while the security of the system is improved.

Research paper thumbnail of Association of adiponectin level with biochemical variables and insulin resistance in patients with non-alcoholic fatty liver disease in an Iranian population

MEDICAL SCIENCES JOURNAL, Dec 1, 2019

Background: Non-alcoholic fatty liver disease is one of the most important chronic liver disorder... more Background: Non-alcoholic fatty liver disease is one of the most important chronic liver disorders worldwide. Adipokines are polypeptide hormones that participate in the pathogenesis of non-alcoholic fatty liver disease. Adiponectin is an adipokine that stimulates fatty acid oxidation in muscle and plays a role in the development of insulin sensitivity. This study aimed to investigate the association between plasma adiponectin and nonalcoholic fatty liver disease. Materials and methods: This case and control study was conducted on 80 non-alcoholic fatty liver disease patients and 80 participants as control group. Plasma levels of adiponectin and insulin were measured by ELISA kit (Mercodia Company, Sweden) and other variables were determined by standard methods. Statistical analysis was performed using SPSS software, version 19. Results: Plasma adiponectin was significantly lower in non-alcoholic fatty liver disease patients than control (p-value<0.001). Whereas, subjects with non-alcoholic fatty liver disease had significantly higher levels of body mass index, serum transaminases, serum triglycerides, systolic blood pressure, serum insulin and insulin resistance compared to control group (p<0.01). An inverse correlation was observed between adiponectin with serum transaminases, triglycerides and insulin resistance (P<0.05), while it did not correlate with lipoproteins. Conclusion: The results indicate that adiponectin levels are reduced in individuals with non-alcoholic fatty liver disease. Adiponectin levels are inversely correlated with liver transaminases and insulin resistance.

Research paper thumbnail of Stochastic two-stage reliability-based Security Constrained Unit Commitment in smart grid environment

Sustainable Energy, Grids and Networks, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Research paper thumbnail of A hybrid novel framework for flood disaster risk control in developing countries based on smart prediction systems and prioritized scenarios

Journal of Environmental Management

A Decision Support System (DSS) is a highly efficient concept for managing complex objects in nat... more A Decision Support System (DSS) is a highly efficient concept for managing complex objects in nature or human-made phenomena. The main purpose of the present study is related to designing and implementation of real-time monitoring, prediction, and control system for flood disaster management as a DSS. Likewise, the problem of statement in the research is correlated to implementation of a system for different climates of Iran as a unique flood control system. For the first time, this study coupled hydrological data mining, Machine Learning (ML), and Multi-Criteria Decision Making (MCDM) as smart alarm and prevention systems. Likewise, it created the platform for conditional management of floods in Iran's different clusters of climates. According to the KMeans clustering system, which determines homogeneity of the hydrology of a specific region, Iran's rainfall is heterogeneous with 0.61 score, which is approved high efficiency of clustering in a vast country such as Iran with four seasons and different climates. In contrast, the relation of rainfall and flood disaster is evaluated by Nearest Neighbors Classification (NNC), Stochastic Gradient Descent (SGD), Gaussian Process Classifier (GPC), and Neural Network (NN) algorithms which have an acceptable correlation coefficient with a mean of 0.7. The machine learning outputs demonstrated that based on valid data existence problems in developing countries, just with verified precipitation records, the flood disaster can be estimated with high efficiency. In the following, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method as a Game Theory (GT) technique ranked the preventive flood damages strategies through three social (Se 1), environmental (Se 2), and economic (Se 3) crises scenarios. The solutions of flood disaster management are collected from literature review, and the opinion approves them of 9 senior experts who are retired from a high level of water resource management positions of Iran. The outcomes of the TOPSIS method proved that National announcement for public-institutional participation for rapid response and funding (G1-2), Establishment of delay structures to increase flood focus time to give the animals in the ecosystem the opportunity to escape to the upstream points and to preserve the habitat (G 2-8), and Granting free national financial resources by government agencies in order to rebuild sensitive infrastructure such as railways, hospitals, schools, etc. to the provincial treasury (G3-10) are selected as the best solution of flood management in Social, Environmental, and Economic crises, respectively. Finally, the collected data are categorized in Social, Environmental, and Economic aspects as three dimensions of Sustainable Development Goals (SDGs) and ranked based on the opinion of 32 experts in the five provinces of present case studies.

Research paper thumbnail of A 1% Measurement of the Distance Scale with Perpendicular Spatial Scanning

Research paper thumbnail of The Intellectual Capital's Components/Details Attributes and Firms Value

The aim of this paper is to examine the Intellectual Capitals gathered from Data's life cycle... more The aim of this paper is to examine the Intellectual Capitals gathered from Data's life cycle stages of Tehran Stock Exchange list. This is the testing result of a hypothesis utilizing "multiple regression method" with no incremental information content for intellectual capital components companies, but the company's market value relative varies during different stages of their life cycle. So The I.C has the maximum information to make the decision for adolescence stage and subsequently minimum growth data stage & decline stage related for making decision plan. The research result shows the Intellectual Capital (I.C) can create valid data in relate to the Gap between companies Market value and Book value of the different life cycle values stages.

Research paper thumbnail of The Study of the financial effects of divorce on Iran's Law

The Journal of social sciences and humanities, 2016

Cancellation of contract primarily causes the loss of all relations arising from it, but in the c... more Cancellation of contract primarily causes the loss of all relations arising from it, but in the case of married couples, the financial relations continue in cases even after the cancellation. Methodology: This article evaluates the financial impact of divorce in Iranian law with library method. Of the Law Concerning divorce reform enacted in 1992, it obliges the man who is seeking a divorce to pay financial rights of women included the wages, Nahla, and up to half of the assets, inheritance, alimony and mahr and dowry. Results: Nahla is establishing rights that were entered Iranian law by the law amending the provisions of the divorce. However, in accordance with Article (336) of the Civil Code, nothing is unpaid, but obligation of man to pay the works of women at home is subject to conditions in the year 1992. Conclusion: In the absence of financial condition during the marriage, the wage should be calculated based on the work that women do at home of the husband.

Research paper thumbnail of Optimal integration of Demand Response Programs and electric vehicles into the SCUC

Sustainable Energy, Grids and Networks, 2021

Abstract Security Constrained Unit Commitment (SCUC) is carried out by power system operators to ... more Abstract Security Constrained Unit Commitment (SCUC) is carried out by power system operators to determine the optimal participation of generating units to meet the load demand while satisfying units’ and systems’ constraints as well as the desired level of security. With technological advances in the realm of communications and development in the infrastructure, a proper environment for the active contribution of customers has been formed. This new structure has enabled the consumers to play a vital role in the market via Demand Response Programs (DRPs) and coordinated aggregated Plug-In Electric Vehicle (PEV) fleets. These new resources could be a merit for the power system provided that they are employed correctly and in coordination with the rest of the system. The SCUC is where DRPs and PEVs could be optimally addressed to exploit their full potential. This paper tackles the problem of SCUC in the presence of DRPs and aggregated PEV fleets. The objective is to lessen the operation cost provided that all constraints are satisfied. Different constraints including those related to the system, units, transmission system, DRPs, and PEVs as well as the security constraints are taken into consideration. The SCUC is modeled as a two-stage stochastic mixed-integer programming problem and an appropriate model of PEVs is derived to facilitate the integration of these resources into the grid while considering their charging and discharging characteristics as well as efficiency. Moreover, a suitable model of DRPs is introduced in this study based on the concept of price elasticity of demand. The proposed approach is practiced over the IEEE 24-bus Reliability Test System (RTS) to analyze the effect of the smart grid on SCUC. Obtained results demonstrate that with proper deployment of DRPs and PEVs the operation cost could be lessened while the security of the system is improved.

Research paper thumbnail of Association of adiponectin level with biochemical variables and insulin resistance in patients with non-alcoholic fatty liver disease in an Iranian population

MEDICAL SCIENCES JOURNAL, Dec 1, 2019

Background: Non-alcoholic fatty liver disease is one of the most important chronic liver disorder... more Background: Non-alcoholic fatty liver disease is one of the most important chronic liver disorders worldwide. Adipokines are polypeptide hormones that participate in the pathogenesis of non-alcoholic fatty liver disease. Adiponectin is an adipokine that stimulates fatty acid oxidation in muscle and plays a role in the development of insulin sensitivity. This study aimed to investigate the association between plasma adiponectin and nonalcoholic fatty liver disease. Materials and methods: This case and control study was conducted on 80 non-alcoholic fatty liver disease patients and 80 participants as control group. Plasma levels of adiponectin and insulin were measured by ELISA kit (Mercodia Company, Sweden) and other variables were determined by standard methods. Statistical analysis was performed using SPSS software, version 19. Results: Plasma adiponectin was significantly lower in non-alcoholic fatty liver disease patients than control (p-value<0.001). Whereas, subjects with non-alcoholic fatty liver disease had significantly higher levels of body mass index, serum transaminases, serum triglycerides, systolic blood pressure, serum insulin and insulin resistance compared to control group (p<0.01). An inverse correlation was observed between adiponectin with serum transaminases, triglycerides and insulin resistance (P<0.05), while it did not correlate with lipoproteins. Conclusion: The results indicate that adiponectin levels are reduced in individuals with non-alcoholic fatty liver disease. Adiponectin levels are inversely correlated with liver transaminases and insulin resistance.

Research paper thumbnail of Stochastic two-stage reliability-based Security Constrained Unit Commitment in smart grid environment

Sustainable Energy, Grids and Networks, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.