mohammad reza hasanzadeh

The Internet of Things, or IoT, is a network of intelligent objects that refer to how physical objects communicate and how data transfer between them. one of the major IoT challenges is protection against various intra-network attacks. Due to the existence of various attacks, attack detection is one of the main and effective defense methods to deal with attacks on the IoTs. One of the most dangerous network layer attacks is the Selective Forward Attack, in which a malicious node destroys some of the received packets and sends the rest to the destination. The removal of multiple packets in a routine path is common in wireless sensor networks (WSNs). In these networks, it is difficult to determine the reason for the lack of packets. This can damage WSN in the IoT. Due to the importance of using IoT networks and secure transferring data, for the first time, in this study we tried to identify and prevent Selective Forward Attack using the AECCEM-IoT method (Authentication and ECC Encryption Mechanism in internet of things). For evaluation, the proposed AECCEM-IoT method was compared with the DPSFA method using the NS-2 simulator. In DPSFA method, routing is performed using two-step security mechanism by cuckoo search algorithm. Results show better performance of the proposed method in terms of throughput (20-25% improvement), packet delivery ratio (30-50% improvement), End to End delay (20-30%) and remaining energy (better energy stability along the route).

Due to the US breach of JCPOA and leaving this international agreement, and imposing new sanctions against Iran, we are witnessing several problems in the economy, and especially difficulties regarding to foreign currencies. Extreme fluctuations and sharp increases in the foreign exchange rate have led to the increased level of the prices and decrement of the purchasing power of the people. Currently what is perceived as the most important is the implementation of Eghtesad-e-Moghavemati. Therefore, in this research, we have classified the related indicators of Eghtesad-e-Moghavemati to foreign exchange market which there had been not any research in this field so far. Using the Delphi method in this research, out of the 24 indicators of the General Policies of Eghtesad-e-Moghavemati, 13 foreign exchange market-related indicators were recognized in the point of view of the expert. Using interpretive structural modeling and Excel software, the mentioned indicators were classified. The results show that the indicators of transparentization and correction of economy, and the indicator of coordination amongst the policies of Eghtesad-e-Moghavemati have high effectiveness, and the indicator of the knowledge-based economy, as the most infrastructural indicator, places at the last level.

The UCTTP problem is a hybrid optimization problem that belongs to the NP-hard class, hence determining the optimal or analytical solution of this problem is challenging. This problem, which occurs at the beginning of the university semester, involves allocating events (courses, faculty, and students) to a number of time slot and specific number of rooms. The UCTTP problem must satisfy both hard and soft constraints so that feasible time tables are obtained after complete and correct satisfaction of all hard constraints. Satisfaction of soft constraints is merely for the quality improvement of the produced feasible time tables and unlike hard constraint their satisfaction is not mandatory. Another important issue associated with this problem is the multiplicity and variety of constraints (hard and soft) that are completely case dependent. The soft constraints considered by each solution (schedule) are evaluated by the penalty function, which is obtained by a summation operator. In this operator, a weight is assigned to each soft constraint, and according to these weights, a penalty function is obtained, the output of the penalty function is used in the objective function which yields final solutions. After obtaining all the final solutions, the schedule tables that have no collisions, that is, satisfy all the strict constraints, and secondly, have a higher value in terms of the value of the objective function are selected. According to the simulation results, it can be said that in using clustering algorithms, the efficiency of fuzzy C-clustering algorithm in minimizing resource loss (surplus) and descending satisfaction of soft constraints of common lecturers of faculties is higher than funnel clustering algorithm and the K-mean. The optimal ratio of the number of applied penalties for the violations of lecturers’ soft constraints and the percentage of violations of lecturers among the fuzzy multi-criteria decision comparison algorithms, local search and genetics, as well as the combination of these algorithms are related to the combination of two comparison algorithms (i.e. fuzzy multi-criteria decision making and local search).Discussion and We observed that with regards to the percentage of satisfaction of soft constraints of common lecturers, the combination of local search algorithms with C-fuzzy clustering shows the best performance and f fuzzy multi-criteria decision comparison algorithm has the worst performance.

In today's world, global economies face significant shocks and threats, such as financial and economic crises, bankruptcies of the banks and large industries, the spread of infectious diseases, terrorist behavior and the collapse of markets. In recent years, the country has faced extensive and unprecedented sanctions, and other shocks such as natural disasters and the outbreak of corona have damaged the country's economy. Therefore, paying attention to the economic resilience plays an important role in strengthening the country's economy and financial institutions against threats. The capital market, as a source of attracting stray and supportive liquidity for the business environment, plays an important role in preventing the country's economic turmoil. This study aimed to identify and prioritize the factors affecting the resilience of the country's capital market.

The present research is applied in terms of orientation and exploratory in terms of purpose. In order to conduct research in the first stage, by reviewing the literature and interviewing financial experts, the main factors affecting the resilience of the capital market were identified. Subsequently, using the nonparametric test Binominal and Dematel, the main factors were screened and the non-important factors were excluded.

The main final factors were: the structure and processes of the organization, attention to learning and training, information sharing, identifying and analyzing impulses, threats and risks ahead, variety of designs and available options, technology acceptance, improvement and development.

Subsequently, the sub-factors of each of the main factors were identified. Finally, by using Codas decision-making technique, the priority of sub-factors in each of the main factors was determined.

Iran has a lot of oil and gas reserves and resources, some of them are shared with neighboring countries. The existence of this number of common fields with neighboring countries doubles the importance of these fields for Iran.The unilateral and unsustainable exploitation of Qatar and Iraq from the South Pars gas field (as the world's largest gas field) and joint oil fields, respectively, and the lack of development of these fields by Iran for managerial reasons, as well as the imposition of economic sanctions by the West has had a lot of consequences for Iran's economic.In this paper, the importance of these fields and the challenges they face are examined using the theory of game and games of the prisoner riddle, the game of chickens and the game of deer hunting. The results of the game on the South Pars gas field and Iran's oil field with Iraq indicate that the continuation of these conditions is a detriment to Iran.  Iran should use  diplomatic negotiation to convince these countries to negotiate on these fields or should increase its production to persuade the other party to negotiate for cooperation.This negotiation is necessary to extract these fields with a single management and in an appropriate manner.

The complexity of engineering problems and the existence of various constraints on these issues, encourage the researchers to use of innovative methods based on a heuristic algorithm to find the optimal solution for practical problems at a cost-effective time and non-consistency tolerance. A distinction has been made between various issues and, therefore, extensive research has been done to improve heuristic algorithms in order to enhance their ability to solve engineering and practical problems. In this paper, due to the ability to global search some of the metaheuristic search patterns (such as the EMA algorithm) and the ability to local search for some meta-heuristic search patterns (such as the FPA algorithm), a novel combination method is proposed to use the ability of both types of algorithms. Then, using the proposed method, a hybrid search pattern with new abilities is presented, whose abilities are proven on standard benchmark testing functions as well as solving engineering problems.

In our country, the number of casualties caused by accidents has increased considerably due to the increased traffic of vehicles and the inadequacy of the geometric design of roads and the lack of adequate safety facilities and the problems caused by the weakness of the traffic culture. Meanwhile, the municipality of Tehran and the traffic police together to combat this problem, a project called "White Line" was defined as the most important guide language in the culture of transportation and traffic of citizens, and in some areas of Tehran implemented. The present study seeks to investigate the relationship between the implementation of the white line project and the traffic behavior of users in District 8 of the Great Tehran. This research was carried out using a survey-descriptive method in 2016. Data collection was performed by analyzing existing data in a questionnaire containing 26 closed questions among road traffic accident experts in Tehran 8th District. Data analysis was performed using SPSS and Excel softwares. In the conclusion, after analyzing the ninth questions, it was found that intelligent intersections, implementation of stop line at crossings and pedestrian passages, synchronization of signs with lines and horizontal traffic signs, and training and culture through various media have a very strong relationship with behavior modification of users. Also, the standardization of roads lines and modifying and securing pedestrian crossings is associated with the modification of traffic behavior and the three variables, including the standard placement of public transport stations, continuity of transverse lines of pedestrian passages and the training and culture of the various media, have a poor connection with the traffic behavior of users. The white line project has a significant and effective relationship with traffic behavior of users on most traffic variables in area 8. Implementing this project will benefit the people and users of the region and will reduce and lubricat traffic accidents.

One of the serious problems in megacities is the rapid traffic growth of urban transportation entities, such as streets and highways. Therefore, utilization of the electronic systems and equipment in traffic control must be considered. The data collection is the basis of transportation system analysis. The accurate database regarding traffic characteristics affects the design and implementation of intelligence transportation plans leading to appropriate decisions on transportation improvement. in-vehicle intelligent systems, such as side collision avoidance assist system and blind spot detector is one of the important elements in intelligent transportation system determining the presences or passing vehicles. There are different types of detectors; namely, inductive ring, radar and photographic implemented on Iran road networks. Each of the abovementioned detectors has specific characteristics, which must be evaluated and prioritized based on three criteria named economic, accessibility of technology and preservation. The paper was based on the multi variable decisions making methods of Topsis and Anthropy. The results demonstrated that the inductive ring was the best detector for Iran road network. The photographic and ultimate radar detectors were ranked as the second and the third efficient equipments. The article would help expert’s regarding traffic flow improvement.

The economic development of societies affected by transportation industry. All of the countries that start development must make the facility of transportation. This developing without of developing of human factors, vehicles and environment may not be occurring. Not development in these cases may accidents that can eliminate the economics of society. So, collection and analyze the accidents data is base design plans for reduce the accidents and their recompense. Recentllty, some studies in modeling of accidents in and out of cites was developed according of traffic flow, situations of geometric plan, environmental and road circumstance. Because of high number of accidents in junction in Tehran, this assay analyze the effected factors on safety in these junctions and try to makes a statics model for estimate number of accidents and improve of traffic flow. In the research method, the selected junctions in Tehran were compared according to accidental place and most of them selected for more study. Then, the effected variables in accidents according the data in model and selection were determined. As a result, the survey according to equal between data mean and data variance, in two sentence negative and plus from correlation coefficient is better than linear Poisson (LP) cascade model.