فهرست مطالب amin gharibi

Today, many countries are institutionalizing the concept of smart city and implementing IoT programs that support smart city components, relying on the extensive IT infrastructure to improve the sustainability and quality of life needed by their communities. But using the Internet of Things to develop a smart city faces several challenges. Accordingly, the purpose of this study is to identify the main challenges of the Internet of Things and to understand the relationship between these challenges to support the development of smart cities in Iran. Initially, 14 major challenges were extracted based on domestic and foreign literature. Then, using the SWARA technique, the challenges were prioritized based on summarizing the views of seven relevant experts in the field of smart cities in Iran. In the next step, the underlying interactions between the identification challenges and their importance were determined using interpretive structural modeling (ISM). Then, MICMAC method was used to confirm the results. According to the findings, the challenges in the interpretive structural method were leveled at six levels. Then, to test the results of this stage, MICMAC method was used.The results of this stage showed that the lack of policies, perspectives and regulatory guidelines, high training, operational and maintenance costs, inequality (social), lack of transparency and responsibility, lack of technical knowledge among Planners, lack of technology infrastructure and lack of intelligence were identified as influential and key variables of the study.

Distribution of distribution networks, which is done with a set of switches, is a simple and low-cost method that reduces the losses of the distribution system. In this paper, first, a genetic algorithm is proposed to optimize distribution network problems. Then, a new method has been proposed to rearrange the distribution networks in order to reduce losses using a genetic algorithm. This method introduces a combination of rearrangement, genetic algorithm and system automation, which is the main factor in reducing distribution network losses, which can be applied for rearrangement at several load levels as well as real-time load; Then, the use of modern equipment and the use of automation of the switching system are explained, and at the end, how to reduce costs and feedback on consumption costs is also explained. The efficiency of this method with a well-known standard distribution system is also shown.