@article{ author = {Goodarzi, Babak and Javidan, Reza and Dehghani, Mohammad Jav}, title = {New changes of local binary patterns and classification and segmentation of seabed images}, abstract ={Texture analysis plays an important role in image processing. Considering the extraordinary appearance texture sonar images, texture analysis are good choices for analysis of acoustic seabed images. Local binary pattern (LBP) operator is a very efficient and multi-resolution texture descriptor. It acquires appropriate information from the illumination and moods of images. Despite many developing of the LBP have proposed, but they are sensitive to noise. Also sometimes they lead to describe different structural patterns with same binary codes, which would reduce their ability to differentiate. This paper proposes an overview in provided LBP methods which includes several of the newer ones. Then it proposes a robust framework of binary pattern as completed robust LBP to overcome the inefficiency of all types of LBP which the value of the central pixel replace whit average value of intensity values of 3*3 square adjacent. Proposed approach is a quick tool with high accuracy in the classification of the seabed images. The comparison of simulation results with other known methods indicates the effectiveness of the proposed algorithm.}, Keywords = {Local Binary Pattern, Classification, Segmentation, Seabed, Acoustical Texture images}, volume = {8}, Number = {27}, pages = {1-20}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-573-en.html}, eprint = {http://jor.iranaict.ir/article-1-573-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {FATHIAN, MOHAMMAD and HAZRATGHOLIZADEH, RAHIM}, title = {A proper method for the advertising email classification based on user’s profiles}, abstract ={In general, Spam is related to satisfy or not satisfy the client and isn’t related to the content of the client’s email. According to this definition, problems arise in the field of marketing and advertising for example, it is possible that some of the advertising emails become spam for some users, and not spam for others. To deal with this problem, many researchers design an anti-spam based on personal profiles. Normally machine learning methods for spam classification with good accuracy are used. However, there isn’t a unique successful way based on Electronic Commerce approach. In this paper, at first were prepared a new profile that can lead to better simulations of user’s behavior. Then we gave this profile with advertising emails to students and collected their answers. In continue, were examined famous methods for email classification. Finally, comparing different methods by criteria of data mining standards, it can be shown that neural network method has the best accuracy for various data sets.}, Keywords = {Electronic Commerce, Electronic Advertising, spam classification, Data mining, profile}, volume = {8}, Number = {27}, pages = {21-36}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-345-en.html}, eprint = {http://jor.iranaict.ir/article-1-345-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {Haghighathoseini, Atefehe sadat and Boubarshad, Hosein and Saghafi, Fatemeh and Zare, Hadi}, title = {Extracting the Information Technology architecture of hospitals with approach of Implementing in Iran}, abstract ={Nowadays, smart and fast services to patients and move on to the next generation hospital are the essential parts of the health field. The production of information technology architecture for hospital organizations is the foundation of accessible smart services and providing services with more speed and higher quality than the traditional systems. In this paper, the target is to present an indigenous IT architecture based on important criteria and metrics in Iranian hospitals. The TOGAf architecture is used and then it is adopted and localized for Shariati hospital based on Iran’s indigenous conditions. For this aim, expert’s views and 134 questionnaire tools are applied and the results are analyzed through suitable statistical tests. So IT architecture is designed by consisting up a conceptual model of four input and four infrastructure layer. The results show that 111 items are verified to apply to the hospital among 145 possible items. The customization framework is called the Hospital IT Architecture. The components provide the framework approved in 8 layers and 11 components can be used in hospitals to implement enterprise architecture. The proposed architecture in 8 layers and 11 components are designed and it could be applied as an indigenous reference architecture for implementation of enterprise architecture in Iranian Hospital organizations. .}, Keywords = {Next generations hospitals, information technology architecture, TOGAF architecture}, volume = {8}, Number = {27}, pages = {37-46}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-563-en.html}, eprint = {http://jor.iranaict.ir/article-1-563-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {Nezarat, Amin and Dastghaibifard, GH and Raja, Mahdi}, title = {A Novel Model for detecting intrusion with Mobile Agent and Game theory}, abstract ={The proposed framework applies two game theoretic models for economic deployment of intrusion detection system (IDS). The first scheme models and analyzes the interaction behaviors of between an attacker and intrusion detection agent within a non-cooperative game, and then the security risk value is derived from the mixed strategy Nash equilibrium. The second scheme uses the security risk value to compute the Shapley value of intrusion detection agent under the various threat levels. Therefore, the fair agent allocation creates a minimum set of IDS deployment costs. Numerical examples show that the network administrator can quantitatively evaluate the security risk of each intrusion detection agent and easily select the most effective IDS agent deployment to meet the various threat levels.}, Keywords = {IDS, Agent, Game Theory, Shapely Value}, volume = {8}, Number = {27}, pages = {47-60}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-320-en.html}, eprint = {http://jor.iranaict.ir/article-1-320-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {Amini, Amir and Alinezhad, Alireza and Shafaghizadeh, Somayeh}, title = {Integrating data envelopment analysis and decision tree models In order to evaluate information technology-based units}, abstract ={In order to evaluate the performance and desirability of the activities of its units each organization needs an evaluation system to assess this desirability and it is more important for financial institutions, including information technology-based companies. Data envelopment analysis (DEA) is a non-parametric method to measure the effectiveness and efficiency of decision-making units (DMUs). On the other hand, data mining technique allows DMUs to explore and discover meaningful information, which had previously been hidden in large databases. . This paper presents a general framework for combining DEA and regression tree for evaluating the effectiveness and efficiency of the DMUs. Resulting hybrid model is a set of rules that can be used by policy makers to discover reasons behind efficient and inefficient DMUs. Using the proposed method for examining factors related to productivity, a sample of 18 branches of Iran insurance in Tehran was elected as a case study. After modeling based on advanced model the input oriented LVM model with weak disposability in data envelopment analysis was calculated using undesirable output, and by use of decision tree technique deals with extracting and discovering the rules for the cause of increased productivity and reduced productivity.}, Keywords = {Data envelopment analysis, Data mining, Classification and regression, Decision tree, Undesirable output}, volume = {8}, Number = {27}, pages = {61-80}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-562-en.html}, eprint = {http://jor.iranaict.ir/article-1-562-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {Akbari, Mohsen and Zahedfar, Kamran and Ayagh, Zahr}, title = {Understanding the users’ initial trust of social networks}, abstract ={Social networks are one of the types of social media which in recent years has been influential in the lives of internet users so that forms of social communication is influenced by the new media and in the future will play a more important role. On the other hand the trust is one of the major causes of satisfaction and repeat use of the online service.This research employs elaboration likelihood model to identify the factors affecting the users’ initial trust in Facebook and it express that users change their attitude via a dual route including central route and peripheral route. Central cues include information quality and service quality, whereas peripheral cues include system quality, structural assurance and reputation. Self-efficacy moderates the effects of central cues and peripheral cues on initial trust. The populations of this study are Iranian users on Facebook. Data for this study through contacts with personal pages and pages of general (relating to groups, cities, activities, university, etc.) active in the social network were collected. For this purpose, link of online questionnaire to provide them on the website docs.google.com. In this questionnaire was used a five -point Likert scale from strongly disagree (1) to strongly agree (5) and finally 406 questionnaires were collected according to schedule and Morgan Jersey, which are well to conduct research in the infinite. Questionnaire validity by the opinions of experts and university professors and its reliability through Cronbach's alpha were provided and represents optimum reliability. Data were analyzed with Smart PLS statistical software. According to the results of the independent variables in this study, self-efficacy, reputation and structural assurance respectively with path coefficient 0.47, 0.23 and 0.2 have the greatest effect on the initial trust and system quality has minimal impact on initial trust with amount 0.07. The results also indicate that self-efficacy moderates the effect of system quality on initial trust. Therefore, since the self-efficacy apart from the moderating role directly also has the greatest impact on initial trust; social network designers should be a special attention to this factor so that it's learn is easy and it's use process is clear and understandable for users.}, Keywords = {Initial trust, Self-efficacy, Facebook, Elaboration likelihood model.}, volume = {8}, Number = {27}, pages = {81-94}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-704-en.html}, eprint = {http://jor.iranaict.ir/article-1-704-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {Fathian, Mohammad and Rahmani, Marzieh and Yaghobi, Sai}, title = {A conceptual model for identification of eservices quality in Iranian estores}, abstract ={The current study seeks to provide a conceptual model of structural equation modeling through an explanation of the gap in scientific studies on the localization of factors affecting electronic service quality of online stores in the country. This is a quantitative-survey study in which a structured questionnaire is distributed among the customers of three online stores. Cronbach's alpha will be applied to determine the reliability of the questionnaire Exploratory factor analysis to classify the sub-indices and confirmatory factor analysis are used to assess the validity of the variables and indicators derived from them. Then, factors affecting the quality of electronic services will be defined in 37 sub-indices and 5 main criteria using exploratory factor analysis as: Trust, Reliability and Fulfillment, Site Engineering, Enjoyment, and Communications. The effectiveness of each of the main indicators of the quality of e-services will be addressed as well. Also, based on a conceptual model fit, the consistency of the collected data with the conceptual model will be analyzed. Finally, using Friedman test, all the factors will be prioritized.}, Keywords = {Electronic store, Electronic Service, Quality, Structural Equation.}, volume = {8}, Number = {29}, pages = {1-14}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-632-en.html}, eprint = {http://jor.iranaict.ir/article-1-632-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {}, title = {The Ranking Lack of Success Factors of Electronic Commerce in Technical Infrastructure in Tile and Ceramic Factories in Meybod County}, abstract ={The electronic commerce is considered as one of the strategies to maintain competitive advantage in the companies. To have a successful electronic commerce in each business, some requirements and infrastructures are needed in advance. "Technical infrastructure" is as the most fundamental and most important infrastructure for electronic commerce. In this study, a comprehensive model is presented that introduces the effective factors on the success of electronic commerce in the technical infrastructure and shows that how by using importance-performance analysis model, it can be possible to identify the undesirable infrastructure factors that lead to unsuccessfulness of electronic commerce in each business and prioritize them for improvement and, technical infrastructure of electronic commerce and it’s capabilities which are necessary for successful implementation will be reviewed and technical infrastructure factor that cause failure of the e-commerce in the tile and ceramic industry of Maybod county, as one of the main centers of ceramic and tile production in the world and the biggest exporter of tiles in Iran, will be evaluated using the " analysis of importance- Performance" method. The results indicate that the internal infrastructure as well as the hardware and software available in theses firms, have acceptable condition and non-use of electronic payments, poor public infrastructure (Internet), lack of enough human force and undesirable capability of websites, are the main factors for failure of electronic commerce in term of technical infrastructure in these firms, respectively. [dm1]   [dm1]بازنگری شود}, Keywords = { electronic commerce, infrastructures, technical infrastructure, success factors, tile and ceramic factories in Meybod County, Importance Performance matrix.}, volume = {8}, Number = {29}, pages = {15-30}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-939-en.html}, eprint = {http://jor.iranaict.ir/article-1-939-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {feyzi, amin and sattarinaeini, vahid and mohammadi, maji}, title = {using clustering in AODV routing protocol for vehicular ad-hoc networks on highway scenario}, abstract ={Vehicular 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.}, Keywords = { vehicular ad-hoc networks ,AODV routing protocol ,clustering,particle swarm optimization }, volume = {8}, Number = {29}, pages = {31-40}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-606-en.html}, eprint = {http://jor.iranaict.ir/article-1-606-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {}, title = {A method for clustering customers using RFM model and grey numbers in terms of uncertainty}, abstract ={The purpose of this study is presentation a method for clustering bank customers based on RFM model in terms of uncertainty. According to the proposed framework in this study after determination the parameter values of the RFM model, including recently exchange (R), frequency exchange (F), and monetary value of the exchange (M), grey theory is used to eliminate the uncertainty and customers are segmented using a different approach. Thus, bank customers are clustered to three main segments called good, ordinary and bad customers. After cluster validation using Dunn index and Davis Bouldin index, properties of customers are detected in any of the segments. Finally, recommendations are offered to improve customer relationship management system.}, Keywords = {RFM Model, Uncertainty, Clustering, Grey Number, Data Mining}, volume = {8}, Number = {29}, pages = {41-54}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-335-en.html}, eprint = {http://jor.iranaict.ir/article-1-335-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {MoslehShirazi, Ali Naghi and Mohammadi, Ali and Ranaei, Habibollah and Honarparvaran, Hami}, title = {Design a Model Of System Dynamics (SD) On The Policy Of Upgrading Indices Of Iran ICT Network}, abstract ={In the recent years, developments in the field of information and telecommunications are pursued by major changes in different areas of human life. Human has constantly employed the technology and track record of human life is abundant with innovation in information and communication technologies (ICT) which are called as new or high- technology. Therefore, ICT Development Indices (IDI) are remarkably important. This research purports to design a model of system dynamics (SD) on the policy of upgrading indices of Iran ICT network. Accordingly, after investigating the IDI and mining the indices, the causal loops and flowchart are depicted through using the SD (system dynamics). The results of simulation show that the behavior of studied key variables, after performing enhancing economic growth policies, improved the quality and quantity of ICT infrastructure, social indices, the culture of employing ICT, and the technical knowledge of ICT operators and the enhancing process has accelerated.}, Keywords = {Information and Communication Technologies (ICT), Information and Communication Technologies Development Indices (IDI), system dynamics (SD)}, volume = {8}, Number = {29}, pages = {55-70}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-800-en.html}, eprint = {http://jor.iranaict.ir/article-1-800-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} } @article{ author = {Talebi, Mehdi and Vafaei, Abbas and Monadjemi, Amirhass}, title = {Vision-based Entrance Detection in Outdoor Scenes}, abstract ={Doors are a significant object for the visually impaired and robots to enter and exit buildings. Although the accuracy of door detection is reported high in indoor scenes, it has become a difficult problem in outdoor scenes in computer vision. The reason may lie in the fact that such properties of a simple ordinary door such as handles, corners, and the gap between the door and the ground may not be visible due to the great variety of doors in outdoor environments. In this paper, we present a vision-based method for detecting building entrances in outdoor images. After extracting the lines and deleting the extra ones, regions between the vertical lines are specified and the features including height, width, location, color, texture and the number of lines inside the regions are obtained. Finally, some additional knowledge such as door existence at the bottom of the image, a reasonable height and width of a door, the difference between color and texture of the doors and those of the neighboring regions, and numerous lines on doors is used to decide on door detection. The method was tested on eTRIMS dataset and our own dataset including doors of houses, apartments, and stores leading to acceptable results. The obtained results show that our approach outperforms comparable state-of-the-art approaches.}, Keywords = {Computer vision, entrance detection, lines extraction, color, texture}, volume = {8}, Number = {29}, pages = {71-82}, publisher = {): Association of Information & Communication Technology of Iran}, url = {http://jor.iranaict.ir/article-1-1103-en.html}, eprint = {http://jor.iranaict.ir/article-1-1103-en.pdf}, journal = {}, issn = {}, eissn = {}, year = {2018} }