• List of Articles


      • Open Access Article

        1 - Matched grouping of learners in e-learning environment using council clustering method
        malihe kamareiy gholamali montazer
        Despite the individual differences of learners such as their abilities, goals, knowledge, learning styles and backgrounds, most of the electronic learning systems has presented an equal learning content for all of the learners. This is happening while producing a specia Full Text
        Despite the individual differences of learners such as their abilities, goals, knowledge, learning styles and backgrounds, most of the electronic learning systems has presented an equal learning content for all of the learners. This is happening while producing a specialized content for the individuals. Increasing appliances of artificial memory in teaching the adaptation learning systems will require recommended teaching methods which are appropriate to the learner’s individual differences. In order to grouping learners based on their learning styles in their own similar groups, we are presenting a new method in this text. This method is mainly about combining the result of clustering methods which is certainly reducing choosing an unreliable method. Meanwhile it is preventing method`s complication which is because of using simpler and more useful clustering algorithms that subsequently will cause a better result and it may happen due to the fact that different methods will overlap each other’s defections. In this article we are using Felder- Silverman learning style which consist of 5 dimensions: processing (active-reflective) , input (visual-verbal) , understanding (sequential-global) , perception (sensing-intuitive) and organization (inductive-deductive). Firstly, proper behavioral indicators to different learning style dimension of Silverman-Feedler will recognize and then based on these behaviors learners will be able to be groups by one of these 5 methods. In the case of evaluating the proposed method, utilizing the c++ programming electronic teaching period information is necessary. Learner members of experiment environment were 98 ones which were extracting the expressed indicators connected to their network behaviors in 4 dimensions of Perception , process , input and understanding of Felder- Silverman model. On the other hand students were asked to fill the questionnaire forms and their learning styles were calculated between 0-11 and then based on the behavioral information they were being grouped. We are using 5 clustering grouping methods : k-means , FCM , KNN , K-Medoids and SVM to produce ensemble clustering in generation step and co-occurrence samples or majority votes were used in Integration step. Evaluating the results will require the followings : Davies-bouldin index , Variance index , and gathering purity index. Due to the fact that the expressed methods are not able to indicate automatically the best cluster, clustering 3,4,5,6,7 clusters were using this method. And with calculating Davies-bouldin index the best cluster in each method were selected. In FCM each data were contributed to the cluster which has the most dependence to that . Numerical results of Davies-bouldin index have shown that ensemble clusters have the exact accumulation clusters among the others. Clustering variance in different size is indicating that ensemble clustering has the most accumulation and the least dispersion and also purity-gathering results has shown that proposed grouping method has the ability to gather learners with the similar style in each cluster and has a better efficiency compared to the others. So with this idea while maintaining simplicity, more accurate results based on the Davies-bouldin index , Variance index , and gathering purity index is obtained. Due to the importance of high accuracy and high speed and low computational complexity in the clustering methods, instead of a more complex approach, combining the weaker and easier clustering methods, better and more accurate results reached. Manuscript Document
      • Open Access Article

        2 - Investigating the effect of using various marketing strategies on social networks on gaining the trust of council customers Investigating ترجمه‌های investigate فعلفراوانی بررسی کردن investigate, check, peruse, survey, study رسیدگی کردن consider, attend, check, investigate, inspect, investigate استفسار کردن investigate وارسی کردن sift, investigate پژوهیدن investigate, inquire, research, search تحقیق کردن investigate, inquire, verify, assay, interrogate, question اطلاعات مقدماتی بدست اوردن investigate جستار کردن investigate تفتیش کردن inquire, inspect, investigate, revise باز جویی کردن examine, assay, inquire, interrogate, investigate, cross-examine تعریف‌های investigate فعل ۱ carry out a systematic or formal inquiry to discover and examine the facts of (an incident, allegation, etc.) so as to establish the truth. police are investigating the alleged beating مترادف‌ها: check outsuss outgive something the once-overscope outinquire intolook intogo intolook overprobeexplorescrutinizeconduct an investigation intoconduct an inquiry intomake inquiries abouttry to get to the bottom ofinspectanalyzestudyexamineconsiderresearchsearch/sift the evidence concerningpore overdelve intoauditevaluatefollow up مترادف investigate فعل check outsuss outgive something the once-overscope out inquire intolook intogo intolook overprobeexplorescrutinizeconduct an investigation intoconduct an inquiry intomake inquiries abouttry to get to the bottom ofinspectanalyzestudyexamineconsiderresearchsearch/sift the evidence concerningpore overdelve intoauditevaluatefollow up همچنین ببینید investigate
        farzaneh milani jafari zenouzi
        The aim of this study is to investigate the effect of using variety of marketing strategies in social networks to build customers’ trust. Marketing through social networks has made appropriate opportunities for companies to attract more customers. Building customers' tr Full Text
        The aim of this study is to investigate the effect of using variety of marketing strategies in social networks to build customers’ trust. Marketing through social networks has made appropriate opportunities for companies to attract more customers. Building customers' trust and attracting the customers can be mentioned as marketing challenges on these networks. So, in order to create competitive advantages, companies need to use appropriate strategies of building trust. The population of this study consists of all Iranian users of social networking sites that affected by companies advertisements. Also the sample size by using snowball sampling method is 446. The research method is descriptive survey research and data collection tool is questionnaire. To test hypotheses the partial least squares (PLS) technique and SmartPLS 3 software has been used. The results show that all four variables include: transactional, relationship, database and knowledge-based marketing strategies in social networks have a significant impact to build customers’ trust. Indeed, transactional strategy has negative impact on trust so the relation between this variable and dependent variable is reverse. knowledge-based marketing strategy has the most positive impact on customers’ trust. Manuscript Document
      • Open Access Article

        3 - Using web analytics in forecasting the stock price of chemical products group in the stock exchange
        amir daee Omid Mahdi Ebadati E. keyvan borna
        Forecasting markets, including stocks, has been attractive to researchers and investors due to the high volume of transactions and liquidity. The ability to predict the price enables us to achieve higher returns by reducing risk and avoiding financial losses. News plays Full Text
        Forecasting markets, including stocks, has been attractive to researchers and investors due to the high volume of transactions and liquidity. The ability to predict the price enables us to achieve higher returns by reducing risk and avoiding financial losses. News plays an important role in the process of assessing current stock prices. The development of data mining methods, computational intelligence and machine learning algorithms have led to the creation of new models in prediction. The purpose of this study is to store news agencies' news and use text mining methods and support vector machine algorithm to predict the next day's stock price. For this purpose, the news published in 17 news agencies has been stored and categorized using a thematic language in Phoenician. Then, using text mining methods, support vector machine algorithm and different kernels, the stock price forecast of the chemical products group in the stock exchange is predicted. In this study, 300,000 news items in political and economic categories and stock prices of 25 selected companies in the period from November to March 1997 in 122 trading days have been used. The results show that with the support vector machine model with linear kernel, prices can be predicted by an average of 83%. Using nonlinear kernels and the quadratic equation of the support vector machine, the prediction accuracy increases by an average of 85% and other kernels show poorer results. ارسال Manuscript Document
      • Open Access Article

        4 - Routing improvement to control congestion in software defined networks by using distributed controllers
        saied bakhtiyari Ardeshir Azarnejad
        Software defined networks (SDNs) are flexible for use in determining network traffic routing because they separate data plane and control plane. One of the major challenges facing SDNs is choosing the right locations to place and distribute controllers; in such a way th Full Text
        Software defined networks (SDNs) are flexible for use in determining network traffic routing because they separate data plane and control plane. One of the major challenges facing SDNs is choosing the right locations to place and distribute controllers; in such a way that the delay between controllers and switches in wide area networks can be reduced. In this regard, most of the proposed methods have focused on reducing latency. But latency is just one factor in network efficiency and overall cost reduction between controllers and related switches. This article examines more factors to reduce the cost between controllers and switches, such as communication link traffic. In this regard, a cluster-based algorithm is provided for network segmentation. Using this algorithm, it can be ensured that each part of the network can reduce the maximum cost (including delays and traffic on links) between the controller and its related switches. In this paper, using Topology Zoo, extensive simulations have been performed under real network topologies. The results of the simulations show that when the probability of congestion in the network increases, the proposed algorithm has been able to control the congestion in the network by identifying the bottleneck links in the communication paths of each node with other nodes. Therefore, considering the two criteria of delay and the degree of busyness of the links, the process of placing and distributing the controllers in the clustering operation has been done with higher accuracy. By doing so, the maximum end-to-end cost between each controller and its related switches, in the topologies Chinanet of China, Uunet of the United States, DFN of Germany, and Rediris of Spain, is decreased 41.2694%, 29.2853%, 21.3805% and 46.2829% respectively. Manuscript Document
      • Open Access Article

        5 - Provide a model of human resource knowledge architecture in knowledge-based organizations using a mixed approach
        abdollah saedi reza sepahvand najmoddin mosavi mohammad hakkak
        Knowledge architecture of human resources is more important than any other tool or element in the way of creating, organizing, storing, distributing and applying knowledge to achieve organizational goals. The present study was conducted to present the architectural mode Full Text
        Knowledge architecture of human resources is more important than any other tool or element in the way of creating, organizing, storing, distributing and applying knowledge to achieve organizational goals. The present study was conducted to present the architectural model of human resource knowledge in knowledge-based organizations using a mixed approach. This research is based on mixed research and quantitatively and qualitatively, which is descriptive-survey in terms of purpose, application and nature and method. The statistical population of the present study consists of knowledge-based organizations in Lorestan province, 30 of whose experts have been selected based on the principle of theoretical adequacy and using purposive sampling. The data collection tool in the qualitative part of the research is a semi-structured interview and in the quantitative part is a questionnaire. In the qualitative section, data and information were identified using Atlas.ti software and analysis coding method and architectural indicators of human resource knowledge. In the quantitative part of the research, the final model of the research has been developed and presented using Matlab software and interpretive structural modeling method. The research results include the indicators and components of human resource knowledge architecture and the presentation of human resource knowledge architecture model in knowledge-based organizations. Thus, in addition to developing a human resource knowledge architecture architecture model, the findings indicate the identification of the main components of human resource knowledge architecture, knowledge management infrastructure, professional characteristics, situational characteristics and achievements of human resource knowledge architecture. Manuscript Document
      • Open Access Article

        6 - Criteria for evaluating the effectiveness of social media users - a framework based on social media exploration
        rojyar pirmohammadiani shahriyar mohammadi
        Nowadays, users' interactive behaviors on social media have become an important and influential resource on marketing activities in various businesses. Despite the importance of this issue, providing appropriate criteria for evaluating the influential behavior of user Full Text
        Nowadays, users' interactive behaviors on social media have become an important and influential resource on marketing activities in various businesses. Despite the importance of this issue, providing appropriate criteria for evaluating the influential behavior of users in recent studies has received less attention. For this purpose, in the first step, an innovative theory framework including two main dimensions: potential of the influence and the level of the influence is presented. Then, in order to define criteria for measuring each dimension, by providing a comprehensive and combined classification including three domains, user-based analysis, relationship-based analysis and content-based analysis, exploration techniques Social media has been examined to analyze the effective behaviors of users. In the following, according to the literature review, the criteria of "number of active users", “ranked of users based on the structural indexes and activity", “quality and the subjectiveness of content” have been defined to measure each of the aforementioned dimensions. The criteria proposed in this article are effective for creating dashboards to assess the value of users' influence in various businesses. It also a comprehensive roadmap has been provided for businesses about the data they need to collect and the required techniques to determine each of these metrics through a cross-disciplinary and academic classification of social media exploration techniques. Manuscript Document