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Open Access Article
1 - using clustering in AODV routing protocol for vehicular ad-hoc networks on highway scenario
amin feyziVehicular Ad hoc networks are a subset of mobile Ad hoc networks in which vehicles are considered as network nodes. Their major difference is rapid mobility of nodes which causes the quick change of topology in this network. Quick changes in the topology of the network MoreVehicular Ad hoc networks are a subset of mobile Ad hoc networks in which vehicles are considered as network nodes. Their major difference is rapid mobility of nodes which causes the quick change of topology in this network. Quick changes in the topology of the network are considered as a big challenge For routing in these networks, routing protocols must be robust and reliable. AODV Routing protocol is one of the known routing protocols in vehicular ad hoc networks. There are also some problems in applying this routing protocol on the vehicular ad hoc networks. The number of control massages increases with increasing the scale of the network and the number of nodes . One way to reduce the overhead in AODV routing protocol is clustering the nodes of the network. In this paper , the modified K-means algorithm has been used for clustering the nodes and particle swarm optimization has been used for selecting cluster head. The results of the proposed method improved normalized routing load and the increase of the packet delivery rate compared to AODV routing protocol. Manuscript profile -
Open Access Article
2 - Energy-efficient and Privacy preserving Data Aggreration in wireless sensor networks
zahra zareEnergy consumption is ranked among the major problems of research in wireless sensor networks(WSNs). The main reason for nodes failure is the discharge of batteries in sensor networks. Therefore, energy consumption plays an important role in wireless sensor networks. Da MoreEnergy consumption is ranked among the major problems of research in wireless sensor networks(WSNs). The main reason for nodes failure is the discharge of batteries in sensor networks. Therefore, energy consumption plays an important role in wireless sensor networks. Data aggregation can greatly help to reduce this consumption by eliminating redundant data, and using clustering methods for data aggregation helps to further reduce energy consumption. Sensor nodes are prone to node compromise attacks which cause an adversary to change the aggregation result and inject false data into the WSN, hence security issues such as data confidentiality and integrity are extremely important. Because both data aggregation and security are critical for wireless sensor networks, achieving secure data aggregation that protects integrity is a critical issue. In this paper, we present a secure data aggregation method called Energy-Efficient and Privacy-Preserving Data Aggregation using our clustering algorithm which is an improvement on LEACH protocol and Homomorphic Encryption technique. Manuscript profile -
Open Access Article
3 - Clasification of custumers of internet services, using data mining algorithms
farid norozi hamed kazemipoorNowadays, the role of customers has shifted from followers of the producers to guiding them.That is why the classification of customers in targeting and customizing services and prioritization of companies products on the basis of profitability makes great help. Interne MoreNowadays, the role of customers has shifted from followers of the producers to guiding them.That is why the classification of customers in targeting and customizing services and prioritization of companies products on the basis of profitability makes great help. Internet service providers in the market, are competing with a lot of competitors because investing in on communications and internet services are profitable.In order to progress in the market, it is necessary to offer new services and innovation.To get broader share of the market, the internet providers has got to have sufficient knowledge of the market and customers, retain existing customers and attract new customers.By classifying and clustering its customers, and while identifying and supporting its active and beneficial customers, such companies can remove their offbeat customers from services providing cycle.Using data mining algorithm, this research detecting and identifying of such customers, make the internet service provider closer to their goals. Manuscript profile -
Open Access Article
4 - Developing an algorithm for defining key players in social networks by considering both individual characteristics and structure of relations between network’s members
فرناز برزین پور سمیه علیزاده بنت الهدی علی احمدیSocial Network Analysis (SNA) is associated with the mapping and measuring of relationships and flows between people, groups, organizations, etc. Centrality measures in this context are defined to identify the most important actors in social network. One of the main cen MoreSocial Network Analysis (SNA) is associated with the mapping and measuring of relationships and flows between people, groups, organizations, etc. Centrality measures in this context are defined to identify the most important actors in social network. One of the main centrality measures is closeness centrality; in this measure a node is more "central" if it is closer to many more nodes than any other node. In this paper, we develop a conceptual framework for defining centrality measures in complex networks. It is to be noted that one of the major limitations of determining centrality measures is concerning with the structure and effects of relations among people, groups or organizations in principle, and largely ignoring psychological attributes of the individuals. Therefore the proposed framework is based on the combination of two approaches: social network analysis and traditional social science approach by considering both structure of relations and individual characteristics. Detecting communities in complex networks is of considerable importance for understanding both the structure and function of the networks and it is necessary to interpret radial centrality measures. Therefore, we propose spectral clustering by determining the best number of communities as a prerequisite stage before finding closeness measures of centrality. Based on the proposed framework, an algorithm to compute the closeness centrality in complex networks is developed. We test the proposed algorithm on Zachary’s karate club network which is considerably used as a benchmark for community detection in a network. Experimental results indicate that the new algorithm is efficient at detecting both good inter-cluster closeness centrality and the appropriate number of clusters. Manuscript profile -
Open Access Article
5 - خوشه بندی اعضا در تیمهای دانش محور پروژ ه های بزرگ با استفاده از الگوریتم مورچگان
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Open Access Article
6 - Introducing a new optimal energy method for targets tracking in wireless sensor network using a hunting search algorithm
Shayesteh Tabatabaei Hassan Nosrati NahookIn this paper, in order to increase the accuracy of target tracking, it tries to reduce the energy consumption of sensors with a new algorithm for tracking distributed targets called hunting search algorithm. The proposed method is compared with the DCRRP protocol and t MoreIn this paper, in order to increase the accuracy of target tracking, it tries to reduce the energy consumption of sensors with a new algorithm for tracking distributed targets called hunting search algorithm. The proposed method is compared with the DCRRP protocol and the NODIC protocol, which uses the OPNET simulator version 11.5 to test the performance of these algorithms. The simulation results show that the proposed algorithm performs better than the other two protocols in terms of energy consumption, healthy delivery rate and throughput rate. Manuscript profile -
Open Access Article
7 - Designing a core competency model for Iranian gas industry managers based on the results of EFQM by artificial intelligence method
Ali reza Zamanian Majid Jahangirfard Farshad Haj alianThe success of organizations in achieving strategic goals is highly dependent on how the managers of that organization perform, and this success is more directly related to the selection and appointment of competent and knowledgeable managers at the top of the organizat MoreThe success of organizations in achieving strategic goals is highly dependent on how the managers of that organization perform, and this success is more directly related to the selection and appointment of competent and knowledgeable managers at the top of the organizational pyramid. Competency-based management is a strong approach to developing and maintaining the organization's human capital in the long run, and competency models are a useful tool for identifying and developing the knowledge, skills and abilities needed by managers. In general, competency is a set of knowledge, skills, attitudes, abilities, interests and personality traits that enable employees to perform job-related activities effectively and perform job performance as expected or beyond expectations. Do." In accordance with the competencies defined in the evaluation center of the managers of the National Iranian Gas Company and according to the nature of trainable competencies, three categories of communication competencies, managerial and leadership competencies, cognitive and one category of untrained personality competencies have been defined. In this article, we have tried to achieve a set of core competencies in the field of competencies of gas industry managers, which has been achieved based on the performance of managers in organizational excellence. These core competencies are the beacon of the organization in achieving strategic goals and can be purposefully effective in the shortest time and with the least cost in the development process of the managers of the organization. Manuscript profile -
Open Access Article
8 - Permeability improvement calculated from Stoneley-FZI method in Kangan reservoir, one of Iran's gas fields
hossein rezaie yegane doostPermeability in fluid flow is for a porous rock, which is exactly what causes the problem. core analysis and well testing are two most commonly used methods of permeability measurement, but in-vitro measurement of permeability by applying core analysis on all wells in a MorePermeability in fluid flow is for a porous rock, which is exactly what causes the problem. core analysis and well testing are two most commonly used methods of permeability measurement, but in-vitro measurement of permeability by applying core analysis on all wells in a specific field is very time consuming and costly and even impossible when dealing with Horizontal wells. Wells testing, on the other hand, is not cost-effective for reasons such as; High costs and zero production during the testing process. Therefore, thanks to their low cost, comprehensiveness and availability, permeability estimation methods developed according to conventional logs land DSI diagrams are of critical importance. Taking this into account, in the present study, permeability was first estimated using multi-resolution graph-based clustering (MRGC) and the results were compared with permeability rates obtained from core analysis. In the second stage, permeability was measured by ST-FZI method and the results were compared with permeability rates obtained from core analysis. In the third stage, the multi-resolution graph-based clustering (MRGC) method was used to improve the permeability calculated by the ST-FZI method and overcome the reservoir heterogeneity. First the flow units were identified, and then the ST-FZI method was applied on each flow unit to calculate permeability and finally the calculated permeabilities were combined to obtain an accurate permeability graph of the studied well. The correlation coefficients of permeability rates estimated via core analysis in the multi-resolution graph-based clustering method (R2 = 77), ST-FZI method (R2 = 47) and improved method (R2 = 84) were measured. The afore-mentioned method was able to improve the permeability calculated in the previous step by 37% and was recognized as the best permeability measurement method in the Kangan reservoir of the well subjected to study. Manuscript profile -
Open Access Article
9 - The Comparison of Prevalence of Sexual Dysfunctions in Married Women with and without Symptoms of Cluster B Personality Disorders in Tehran
Elahe Mahdi Asghar Mirmehrabi reza qorban jahromi Zahra Zabihi fardSexual dysfunction is considered a common sexual problem affecting different aspects of life, that has several etiologies and psychiatric disorders play an important role in its formation. This paper aims to comparison of prevalence of sexual dysfunctions between marrie MoreSexual dysfunction is considered a common sexual problem affecting different aspects of life, that has several etiologies and psychiatric disorders play an important role in its formation. This paper aims to comparison of prevalence of sexual dysfunctions between married women with symptoms of cluster B personality disorder and healthy persons in Tehran. This is a causal – comparative research. To do so, 1000 married women from Tehran City were screened in first half of 2021, among them 145 persons were diagnosed with symptoms of cluster B personality disorder and 56 persons were selected through convenience sampling as individuals with disorder. Data of 20 healthy married women were analyzed for comparative purposes. Millon Clinical Multiaxial Inventory (MCMI3), Female Sexual Functions Index (FSFI) and International Index of Erectile Function (ILEF) were used. Data were analyzed by comparing two independent groups in SPSS, Version 26. In married women, the mean sexual function in healthy persons was more significant than borderlines, histrionics, and narcissists (P<0.05) But, this difference in antisocials was not significant (P>0.05). The results show that prevalence of sexual dysfunctions in cluster B personality disorder is more than healthy married women. Therefore, it is recommended that psychotherapy specialists in the diagnosis and treatment of sexual dysfunction, pay attention to the role of personality disorders and the issue of comorbidity. Manuscript profile
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